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    • 专利摘要:
    tracking user performance measurements during an exercise session configuration examples can list readable computer systems, methods, apparatus, and media configured to process input, specifying a user attribute, adjusting a performance zone based on the user attribute, receive data generated by at least one accelerometer and a force sensor, determine if the data is within the performance zone and provide the result of the determination.
    公开号:BR112013021142A2
    申请号:R112013021142
    申请日:2012-02-17
    公开日:2019-12-10
    发明作者:S Burroughs Brandon；Benjamin Hailey Michael
    申请人:Nike Int Ltd；
    IPC主号:
    专利说明:

    "FOLLOW-UP OF USER PERFORMANCE MEASURES DURING A WORKOUT"
    Cross-reference to related applications
    This application requires the benefits of, and priority for. Provisional Patent
    American No. 61 / 443,808 presented on February 17, 2011, entitled * Monitoring of user performance measures during an exercise session *, the content of which is hereby expressly incorporated as the reference in its entirety for any and all unlimited purposes.
    Experience
    Exercise and physical activity have become increasingly popular and the benefits of such activities are well known. Various types of technology have been incorporated into physical activities and other athletic activities. For example, a wide variety of portable electronic devices are available for use in physical activities, such as MP3 players or other audio players, radios, touch TVs, DVD players or other video equipment, watches, audio systems. GPS, pedometers, cell phones, pagers, beepers etc. Many fitness enthusiasts or athletes use one or more of these pieces of equipment during exercise or training to keep themselves entertained, provide performance data or keep them in contact with others, etc. Such users also showed interest in recording their physical activities and the measures associated with them. Accordingly, several sensors can be used to detect, store and / or transmit athletic performance information. Often, however, athletic performance information is presented in isolation or based on general athletic activities. Physical activity practitioners may be interested in obtaining additional information about their exercises,
    resume
    The following is a general summary of examples of aspects to provide a basic understanding, examples of configurations. This summary does not have a comprehensive overview. It is not intended to identify key or critical elements or to outline the scope of the invention. The following summary only presents some concepts of the invention in general as a starting point for a more detailed description, presented below.
    Do one or more aspects describe the systems, equipment., Computer-readable media ' and r odostodes for monitoring a user's performance metrics 35 during an exercise session.
    In some aspects of the examples, systems, equipment, computer-readable media and methods can be configured to process the information provided.
    2/40 m and user attributes, adjust performance based on user attributes, receive information generated by at least an accelerometer and a force sensor, determine if the information is within the performance zone to provide the determination result .
    In some aspects of the examples, systems, equipment, computer-readable media and methods may include receiving data generated by a sensor (eg, an accelerometer, a force sensor, temperature sensor, heart rate monitor, © te.) While a user performs an athletic movement, and compare the information with comparative data from a plurality of game styles to determine one of those particular styles that most matches the data.
    In some aspects of the examples, systems, equipment, computer-readable media and methods may include receiving data generated by a force sensor, indicating weight distribution during the performance of a variety of exercises, processing it first information , indicating the successful conclusion of an exercise, associating a weight distribution at a time prior to the first successful conclusion of an exercise, processing a second information, indicating the unsuccessful conclusion of an exercise, and associating a second weight distribution in a moment before the second information with the unsuccessful conclusion of an exercise.
    In some aspects of the examples, systems, equipment, computer reading media 20 and methods may include receiving typical motion data, corresponding to acceleration and force measurement data, measured by one: first user who performed a sequence of events, receive data from the player of at least one steel tank and a force sensor, by monitoring a second user who tries to perform the sequence of events and generating a similar measure, indicating the similarity of the practitioner's data with the typical movement data.
    In some aspects of the examples, systems, equipment, computer-readable media and methods may include receiving data generated by at least an accelerometer and a force sensor, comparing the jump data to determine whether the data is consistent with a jump, process the data to determine the jump time, landing time and suspension time as well as calculate a vertical jump based on the suspension time.
    Other aspects and characteristics are described throughout the newsletter.
    Brief description of the drawings
    To understand the examples of configurations, they will now be described using 35 examples, making reference to the accompanying drawings:
    Figures 1A-8 illustrate an example of a personal training system according to the example configurations.
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    Figures 2A-8 illustrate example configurations of a sensor system according to the example configurations.
    Figures 3A-8 illustrate an example of computer interaction with at least one sensor according to the example configurations.
    Figure 4 illustrates examples of encapsulated sensors that can be incorporated and removed from a shoe according to the example configurations.
    Figure 5 illustrates examples of body configurations for a computer according to the example configurations.
    Figures 6-7 illustrate several examples of non-bodily configurations for a computer according to the example configurations.
    Figure 8 illustrates an example of demonstrating a graphical user interface (GUI) presented by a computer monitor screen according to the example configurations.
    Figure 9 illustrates examples of performance metrics for user selection according to the example configurations.
    Figures 10 to 11 illustrate an example of sensor calibration according to the example configurations.
    Figure 12 illustrates a demonstration example of a graphical user interface presenting information related to a session according to the examples of settings.
    Figure 13 illustrates an example of demonstrating a graphical user interface providing a user with information about his performance data during a session according to the example configurations.
    Figure 14 illustrates a demonstration example of a graphical user interface providing information about a user's virtual card (vcard) according to the configuration examples.
    Figure 15 illustrates an example of demonstrating the user profile for a graphical user interface providing the profile of a user according to the example configurations.
    Figure 16 illustrates another example of demonstrating the user profile by providing additional information about the user according to the example configurations.
    Figures Γ7 to 20 illustrate other demonstration examples of a graphical user interface providing performance data for a user according to the example configurations.
    Figure 21 illustrates examples of freestyle demonstrations of a graphical user interface providing data on a user's free style movements according to the configuration examples.
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    Figure 22 illustrates training demonstration examples showing a user's eligible training sessions according to the configuration examples.
    Figures 23-26 illustrate examples of training sessions d® according to the 5 example configurations.
    Figures 27 to 30 illustrate demonstration webs for Graphical User Interface for a basketball pitch training session according to the example configurations.
    Figure 31 illustrates an example of demonstrating a graphical user interface10 informing the user of the pitch marks according to the configuration examples.
    Figure 32 illustrates examples of typical movement demonstrations for a graphical user interface suggesting to a user to copy the typical movements of a professional athlete according to the example configurations.
    Figure 33 illustrates an example of demonstrating a graphical user interface in search of other users and / or professional athletes to compare performance data according to the example configurations.
    Figures 34 to 35 illustrate demonstration examples for comparing a user's performance data against other individuals, according to the 20 configuration examples.
    Figure 36 illustrates a flow diagram of an example of a method to determine whether a physical data obtained by monitoring a user's performance in a physical activity is within a performance zone according to the example configurations.
    Detailed Description
    In the descriptions of the various representations that follow, references are made to the accompanying drawings, which form a part of it, and in which, as illustrations, various representations are shown in which the disclosures can be practiced. It must be understood that other forms of configuration can be used, and structural and functional modifications can be made without departing from the scope and essence of the present disclosure. In addition, the positions of this disclosure should not be considered as limiting aspects of the disclosure. Experts in the field, with the advantages of this disclosure, will find that the examples of configurations are not limited to the examples of positions.
    l Example of a personal training system
    A. Illustrative computer equipment
    Figure IA illustrates an example of a personal training system 100 according to the example configurations. System example 100 may include one or more electronic equipment, such as computer 102. Computer 102 may include a mobile terminal, such as a telephone, music player, tablet, netbook or any other equipment. portable. In other configurations, computer 102 may include a converter (STB), a desktop computer, computer digital video recorders (DVR), servo switches and / or any other desired computer equipment. In certain configurations, computer 102 may include a game console, such as a Microsoft® XBOX console, a Sony® PlayStation and / or a Nintendo® Wii. Those experienced in the field will realize that these are mere examples of TO consoles, for descriptive purposes, and this disclosure is not limited to any console or equipment.
    Moving quickly to figure 1B, computer 102 may include the unit by oomfMffedor 104, which may comprise at least one processing unit 106. Processing unit 106 may be any type of processing equipment for executing processing instructions. software, such as microprocessor equipment. Computer 102 may include a variety of non-transitory computer read media, such as memory 108. Memory 108 may include, but is not limited to, random access memory (RAM), such as RAM 110 , and / or a reading memory (ROM), such as ROM 112. Memory 108 20 can include any of these items: electronically erasable programming memory (EEPROM), flash memory or other memory technology, CD-ROM, versatile digital discs (DVD) or other optical disc storage, magnetic storage equipment or any other means that can be used to store the desired information and that can be accessed by a computer 102.
    The processing unit 106 and the system memory 108 can be connected, either directly or indirectly, via a bus 114 or an alternative communication structure for one or more peripheral equipment. For example, processing unit 106 or system memory 108 can be directly or indirectly connected to additional memory storage, such as a hard disk 116, a removable magnetic disk drive, an optical disk drive 118 and a USB stick. The processing unit 106 and the system memory 108 can also be attached or indirectly connected to one or more input devices 120 and one or more output devices 122. Output devices 122 may include, for example, image 136, television, press, stereo system or speakers.
    In some configurations, one or more imaging equipment can be incorporated into glasses. Imaging equipment embedded in glasses can provide feedback to users. Glasses that incorporate one or more imaging equipment also provide
    6/40 in a portable imaging system Input equipment 120 may include, for example, a keyboard, a touch screen, a remote control pad, selection equipment (such as a mouse, touchpad, stylus , trackball or joystick), a scanner, a camera or a microphone. In this sense, input equipment 120 can comprise 5 bar one or more sensors configured to sense, detect and / or measure a user's athletic movements, such as, for example, user 124, shown in figure IA.
    Looking again at figure IA, an image capture device 126 and / or a sensor 128 can be used to detect and / or measure the user's athletic movements 124. In one configuration, data obtained from a capture device of 10 images 126 or sensor 128 can directly detect athletic movements, since the data obtained from an image capture device 126 or sensor 128 are directly triggered with a motion parameter. However, in other configurations, data from image capture equipment 125 and / or sensor 128 can be used in combination, either between st or with other sensors to detect and / or measure the 15 movements. In this way, certain measurements can be determined by combining data obtained from two or more pieces of equipment. Image capture equipment 126 and / or sensor 128 may include or be aperacfonally connected to one or more sensors, including, but not limited to, an accelerometer, a gyroscope, location setting equipment (eg, GPS), sensor light, temperature sensor (including 20 room temperature and / or body temperature), cardiac monitor, image capture sensor, humidity sensor and / or combinations thereof. Examples of using illustrative sensors 126, 128 are provided below, in Section IC, entitled “Illustrative Sensors, Computer 102 can also use touch screens or image capture equipment to determine if a user is making selections from an interface. 25-user graphics, One or more configurations can use one or more aam β / or wireless technologies, either alone or in combination, of which examples of wireless technologies include Bluetooth® technologies, Bluetooth® low energy technologies and / au ANT technologies.
    B, Illustrative network
    Computer 102, computational unit 104 and / or other electronic equipment can be directly or indirectly connected to one or more network interfaces, such as example interface 130 (shown in figure 1B) to communicate with a network, such as , network 132. In the example of figure 1S, network interface 130, it may comprise a network adapter or network interface card (NIC) configured to convert 35 data and contract signals from computer unit 104 into message messages. network according to one or more communication protocols, such as, for example, the Transmission Contract Protocol (TCP), α Internet Protocol (IP) and User Datagram Protocol (UDP)
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    These protocotos are well known in the field; therefore, they will not be discussed in detail here. An Interface 130 can employ any suitable connection agent to connect to a network, including, for example, a wireless transceiver, a power line adapter, a modem or an Ethernet connection. Network 132, however, can be which * 5 wants one © u more network (s) of distribution of information, of any type (s) or topotogy (s) <Isolated or combined, as, for example. Internet, Intranet, Cloud, LAN, The 132 network can be any one of them or more than one cable, fiber, satellite, telephone, cellular, wireless etc. The networks are well known in the field; therefore, they will not be discussed in more detail here. Network 132 can be configured in a variety of ways, such as having 10 one or more wireless or wired communication channels to connect to one or more locations (for example schools, businesses, homes, consumer homes, network resources etc.). for one or more remote servers 134 or for other computers, such as, for example, similar or identical to computer 102. In fact, system 100 may include more than one example of each of the components (for example, more than one computer 15 102, more than a display 136 etc.)
    Regardless of whether computer 102 or another electronic device within network 132 is portable or in a fixed location, it should be noted that, in addition to the peripheral input, output and storage devices specifically listed above, the computing device can be connected , either directly or via network 132, stops a variety of other peripheral devices, including some that can perform input, output and storage functions, or some combination of these. In certain forms of configuration, a single device can integrate one or more components shown in figure I A. For example, a single device can include computer 102, image capture device 126, sensor 128, display 136 and / or addictive components25 naís. In one configuration, the sensor device 138 may comprise a mobile terminal that has a display 136, an image capture device 126 and one or more sensors 128. However, in another configuration, the image capture device 126 and / or sensor 128 can be configured to be operably connected to a media device, including, for example, a gaming or media system. Thus, it can be deduced from the foregoing that this disclosure is not limited to statutory systems and methods. On the contrary, certain forms of configuration can be performed by a user 124, in virtually any location.
    Ç, Illustrative sensors
    Computer 102 and / or other devices may comprise one or more sensors35 res 126, 128 configured to detect and / or monitor at least one parameter of a user's physical activity 124. Sensors 126 and / or 128 may include, but are not limited to, an accelerometer, a gyroscope, a location-determining device (for example,
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    GPS), light sensor, temperature sensor (Including room temperature and / or body temperature), sleep pattern sensors, cardiac monitor, image capture sensor, humidity sensor and / or combinations thereof. The network 132 and / or computer 1.02 may be in communication with one or more electronic devices of the system 100, starting with, for example, the display 136. an image capture device 126 (for example, one or more video cameras) video) and sensor 128, which can be an infrared (IR) device. In a form of sensor 128 configuration, there may be an IR transceiver. For example, sensors 126 and / or 128 can transmit waveforms to the environment, Including towards the direction of the user 124 and receive a “reflection or, otherwise, to try to alter these waveforms. In yet another configuration, an image capture device 126 and / or sensor 128 can be configured to transmit and / or receive other wireless signals, such as, for example, radar, sonar and / or audible information. Experts in the field will immediately realize that signals corresponding to a large number of different spectrum data can be used according to various configurations. In this regard, sensors 126 and / or 128 can detect waveforms emitted from external sources - (for example, non-system 106). For example, sensors 126 and / or 128 can detect heat emitted from user 124 and / or the surrounding environment. Thus, the image capture device 126 and / or sensor 128 may comprise one or more thermal imaging devices. In one configuration, a capture device of Image 126 and / or a sensor 128 may comprise an infrared device configured to perform a wide variety of phenomena. As an unlimited example, image capture devices configured to perform a range of phenomena are commercially available through Flír Systems, Inc., of Portland, Oregon. Although the image capture device 126, sensor 128 and viewfinder 136 are shown in direct communication (with or wired sound) with computer 102, experts in the field will realize that any of them will be able to communicate directly (with or wireless) with network 132,
    1. Multi-purpose electronic devices
    User 124 can own, carry and / or use any number of electronic devices, including sensory devices 138. 140, 142. and / or 144, In some configurations, one or more devices 138, 140, 142. 144 can (m ) not be produced specifically for athletic or physical activity purposes. As a matter of fact, aspects of this disclosure relate to the use of data from a plurality of devices, some of which are not physical activity devices, to collect, detect and / or measure athletic data. In one configuration, device 138 may comprise a portable electronic device, 35 such as a telephone or digital music player, including IPOD®. IPAD® or ÍPhoneé), device brands available from Apple, Inc. of Cupertino, California or Zune® or Microsoft® Windows devices available from Microsoft in Redmond, Washington.
    9/40
    As is known in the art, digital media players can serve as an output device for a computer (for example, extracting music from a sound file or images from an image file) and a storage device. In one configuration, device 138 may be computer 102, however in other configurations, computer 102 may be entirely different from device 1.38 «regardless of whether device 138 is configured to provide certain results, it may serve as an input device to receive sensory information. Devices 138, 140, 142 and / or 144 may include one or more sensors, including, but not limited to, an accelerometer, a gyroscope, a location determination device (eg GPS), light sensor, temperature sensor (including room temperature and / or body temperature), sleep pattern sensors, cardiac monitor, image capture sensor, humidity sensor and / or combinations thereof. In certain configurations, sensors can be passive, such as, for example, reflective materials that can be detected by means of image capture devices 126 and / or sensor 128 (among others). In certain configurations, sensors 144 15 ask to be integrated into clothing, such as athletic clothing. For example, user 124 may wear one or more body sensors 144a-b. Sensors 144 can be incorporated into user clothing 124 and / or placed at any desired location on user body 124. Sensors 144 can communicate (for example, wirelessly) with computer 102, with sensors 128, 138, 140 and 142 and / or with camera 126. Examples 20 of interactive gaming apparel are described in American Patent Application No. 10 / 286,396, submitted October 39, 2002 and published as US Pat. Pub. (American Patent Publication) No. 2004/0087366, the content of which is hereby incorporated as a reference in its entirety for any and all non-limited purposes. In certain configurations, passive sensory surfaces may reflect waveforms, such as, for example, infrared light, emitted by an image capture device 126 and / or sensor 128. In one configuration, passive sensors located in user clothing 124 may understand spherical structures in general, made of glass or another transparent or translucent surface that require reflective waveforms. Different clothing chains can be used in which a given clothing chain has specific sensors 36 configured to be located close to a specific part of the user's body 124 when properly dressed. For example, golf apparel may include one or more sensors positioned on the apparel in a first configuration; however, football clothing may include one or more sensors positioned on the clothing in a second configuration.
    Devices 138-144, as well as any other electronic device now demonstrated, including any sensory device, can communicate with each other, either directly or through a network, tel as network 132, Communication between one or more dis10 / 40 positive 138-144 pods can be performed via computer 102. For example, two or more devices 138-144 can be peripherals operably connected to bus 114 of computer 102, in yet another configuration, a first device, such as, for example, the device 138. can communicate with a first computer, such as, for example, computer 102 or with another device, such as device 142; however, device 142 may not be configured to connect to carrier 102, but it may communicate with device 138. Additionally, one or more electronic devices may be configured to communicate through various communication paths. For example, handset 140 can be configured to communicate using the first wireless communication protocol with device 138 and then communicate through a second wireless communication protocol with a different device, such as · , computer 102, Examples of wireless protocols are discussed throughout this disclosure and are known in the art. Experts in the field will realize that other configurations are possible.
    Some implementations of the example configurations may alternatively or additionally use computational devices that are intended to be capable of a wide variety of functions, such as a desktop computer or a personal computer (laptop). These computing devices can have any combination of peripheral devices or additional components, as desired. In addition, the 20 components shown in figure 18 request to be included in server 134. other computers, equipment etc.
    2, Illustrative equipment / Accessory sensors
    In certain configurations, sensory devices 138, 140, 142 and / or 144 may be formed internally or otherwise associated with the user's clothing or accessories 25 124, including a watch, armband, wrist band, necklace, shirt, shoe or the like. Examples of devices installed in shoes or worn on the wrist (devices 140 and 142, respectively) are described immediately below; however, these are mere examples of configuration, and this disclosure should not be limited to such
    I. Device installed on shoe
    In certain configurations, the sensory device 140 may comprise shoes that may have one or more sensors, including, but not limited to: an accelerometer, sensory location components, such as a GPS and / or a sensory force system. Figure 2A illustrates an example of configuration of a sensory system 202 according to the example configurations. In some configurations, system 202 may include a sensor assembly 204. Assembly 204 may comprise one or more sensors, such as, for example, an accelerometer, location determination components and / or force sensors. In the illustrated configuration, the set 204 incorporates a plurality of sensors, which may include sensors 206 with Force sensitive resistor (FSR). Even in other configurations, other sensor (s) can be used ( s), Door 208 can be positioned within a single shoe frame 209. Port 208 can optionally be in communication with an electronic module 210 (which can be stored in a compartment 211) and a plurality of guides 212 connecting the FSR sensors 206 to pruning 208.
    Module 210 can be contained in a hole or cavity in a single shoe structure. Pruning 208 and module 210 include complementary interfaces 214 and 216 for connection and communication.
    In some configurations, at least one force sensitive resistor 206 shown in Figure 2A may contain first and second electrode or electrode contacts 218, 220 and a force sensitive resistive material 222 discarded between electrodes 218, 220 to electrically connect with electrodes 218, 220 together. When a pressure is applied to the material sensitive to force 222, the resistance and / or conductivity of the material sensitive to the third 222 changes, which changes the electrical potential between electrodes 218, 220. The change in resistance can be detected by means of the sensor system 262 to detect the force applied to sensor 216. The resistive material sensitive to force 222 can change its resistance under pressure in several ways. For example, force-sensitive material 222 may have an internal resistance that decreases when the material is compressed, just like the quantum tunneling compounds described in more detail below. The additional compression in this material can decrease the resistance, allowing quantitative measures, as well as binary measures (on / off). In some circumstances, this type of resistance-sensitive resistance behavior can be described as "resistance based on volume, and the materials that exhibit this behavior can be referred to as intelligent materials". As another example, material 222 can change strength by changing the degree of surface-to-surface contact. This can be achieved in several ways, such as, for example, through the use of microprojections on the surface that increase the surface resistance in an uncompressed condition, in which the surface resistance decreases when the microprojections are compacted or through the use of a flexible electrode that can be deformed to create an increase in surface-to-surface contact 30 with another electrode. This surface resistance can be the resistance between the material 222 and the electrodes 218, 220 and / or the surface resistance between a conductive layer (for example, carbon / graphite) and a force sensitive layer (for example, a semiconductor) of a 222 multilayer material, the greater the compaction, the greater the surface-to-surface contact, resulting in less resistance and allowing quantitative measurement. In some circumstances, this type of force-sensitive resistance can be described as contact-based resistance. It is known that the force-sensitive resistive material 222, as defined herein, can be included as a semiconductor material with or without lubricating ·
    12/40 te.
    The electrodes 218, 220 of the FSR 206 sensor can be formed of any conductive material, including metals, carbon / graphite fibers or compounds, other conductive compounds, conductive polymers or polymers containing a conductive material, conductive ceramics, lubricated semiconductors or any other conductive material. The guides 212 can be connected to the electrodes 218, 220 by any suitable method, including welding, melting, adhesive glues, fasteners and any other method of integral joining or not. Alternatively, electrodes 218, 220 and associated wire 212 can be formed of a single piece of the same material.
    Other sensory system configurations 202 may contain a different number and / or configuration of sensors and generally include at least one sensor. For example, in one configuration, system 202 includes a much larger number of sensors, and in another configuration, system 202 includes two sensors, one on the heel and the other on the front of a shoe or device that is close to a foot. user. In addition, 15 one or more sensors 206 can communicate with port 214 differently, including any known wired or wireless communication, including Bluetooth and short-distance communication. A pair of shoes may have sensor systems 202 in each shoe of the pair, and it is known that the paired sensor system can operate synergistically or independently from each other and that the sensor systems in each shoe may or may not communicate with each other. It is also known that the 202 sensor system can be provided with computer-executable instructions, stored on one or more computer-readable media that, when executed by a collection of processor and data storage controllers (for example, pressure data contact of a user's foot with the floor, or other contact surface) and that these executable instructions can be stored and / or executed by sensors 206, any external module and / or device, such as, for example, a device 128, computer 102, server 134 and / or network 132 of Fig. 1A.
    li. Device worn on the wrist
    As shown in figure 2B, device 226 (which may appear or be a sensory device 142 shown in figure 1 A) can be configured for use by user 124, whether around the wrist, arm, ankle or the like. The device 226 can monitor the athletic movements of a user, including all the daily activity of the user 124,. In this sense, the mounted device 226 can detect the athletic movements during the interaction of the user 124 with the computer 102 and / or tighten up. indépen38 dentamente of computer 102, For example, in a configuration, the device 226 can be a monitor of all the daily activity that measures the activities regardless of the proximity or interaction of the user with the computer 102. The device 226 can be used 13 directly with network 132 and / or other devices, such as devices 138 and / or 140. In other configurations, athletic data obtained from device 226 can be used in determinations conducted by computer 102. such as, for example, the determinations related to which exercise programs are presented to the user 5 In one configuration, the device 226 also p You can interact wirelessly with a mobile device, such as a device 138 associated with user 124 or a remote website, for example, a website dedicated to fitness or health-related issues. At some predetermined time, the user may want to transfer data from device 226 to auto tocai,
    As shown in figure 28, device 226 may include an input mechanism, such as a push-in input button 228, assisting operation of device 226. Input button 228 can be operated in connection with a controller 230 and / or any other electronic components, such as, for example, one or more of the elements discussed in relation to computer 162 in figure IB. The controller 16 230 can be built-in or otherwise be part of compartment 232; The storage 232 can be formed by one or more materials, including elastomeric components and comprises one or more displays, such as the display 234 .. The display can be considered a flexible part of the device 226. The display 234 can include a number of elements of individual lighting or light members like 234 LED lights in an exemplary 20 configuration. The LED lights can be formed in a database and operatively connected to a controller 230. The device 228 can include a display system 236, which can also be considered as part or component of a general display 234. It is known that the display system 236 can operate and illuminate in conjunction with the display 234 (which may have a pixel member 235) or completely separate from the display 25 234. The display system 236 can also include a plurality of additional lighting elements or . light members 238, which I could also take the form of LED lights in an exemplary configuration. In certain configurations, the referral system can provide a visual indication of goals, such as by lighting part of the Lighting members 238 to represent the achievement of one or more goals.
    A clamping mechanism 240 can be opened where the device 226 can be positioned around a user's wrist 124 and the clamping mechanism 240 can later be placed in the closed position. If you wish; the user can always use the 226 device. In one embodiment, the securing mechanism 240 may comprise an interface, which includes, but is not limited to, a USB port for interacting with computer device 35 102 and / or devices 138 and 140.
    In certain configurations, device 226 may comprise a set of sensors (not shown in figure 28). The sensor array can include a variety of
    14/40 different sensors. In an example of configurations, the pod® sensor set includes or allows operative connection to an aceometer (including in the form of a multi-axis sensor), heart rate sensor, location sensor, such as a GPS sensor and / or other .sensors. The movements or parameters detected by the dís5 positive 142 sensor (s) can include (or be used to form) a variety of different parameters, metrics or physiological characteristics, which include, but are not limited to, speed, distance, steps , calories, heart rate, sweat detection, effort, oxygen consumed and / or oxygen circulation. These parameters can also be expressed in terms of payment or activity currencies or earned by the user based on the user's activity.
    Several examples can be implemented using electronic circuits configured to perform one or more functions. For example, in some configurations of the invention, a computing device, such as a smartphone, mobile device, computer, server or other computing equipment can be implemented using one or more application specific integrated circuits (ASICs). components of various examples of the invention will be implemented, using a programmable computing device executing Software or firmware instructions or by some combination of special-purpose electronic circuits and firmware or software instructions executing on a programmable computing device.
    II, Monitoring system
    Figures 3A to B illustrate examples of a computer interacting with at least one sensor, according to the example configurations. In the illustrated example, computer 1Q2 can be implemented as a smartphone that can be carried by the user. Examples of sensors that can be used on the user's body, located outside the body, and can include any of the sensors discussed above, including an accelerometer, distribution sensor, heart rate sensor, temperature sensor etc. In Figure 3, a pedometer sensor 304 and a distributed sensor 306 (including, for example, the sensor system 202 discussed above, having one or more FSRs 206) are shown. The pedometer 304 sensor may include an accelerometer, a gyroscope and / or other detection technology 30. In some instances, the 304 pedometer sensor may have at least one sensor to monitor data that is not directly related to the user's movement. For example, room sensors can be used by the user or they can be external to the user. Ambient sensors can include a temperature sensor, a compass, a barometer, a humidity sensor or another type of sensor. Other types of sensors and combinations of sensors configured to measure the user's movement can also be used. In addition, computer 102 may include one or more sensors.
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    The pedometer 304 sensor, the distributed sensor 206, like other types of sensors, can include a wireless transceiver to communicate with each other and with the computer 102. For example, sensors 304 and 306 can communicate directly with the network 132, with other devices used by the user (for example, watch, devices5 attached to the arm, etc.), with sensors or devices used by a second user, an external device, etc. For example, a sensor in the shoe on the left foot can communicate with a sensor inside the shoe on the right foot. In addition, a shoe may include several sensors that communicate with each other without a shoe processor. In addition, a pair of shoes can include a single processor that collects data from 10 various sensors associated with the shoes and a transceiver coupled to a single processor can communicate sensor data to at least one 10: 2 computer, a 132 network and a server 134, In another example, one or more sensors in a shoe can communicate with a transceiver that communicates with at least one computer 102, a network 132 and a server 134. In addition, the sensors associated with a first user can communicate with the sensors associated with a second user. For example, sensors on the shoes of the first user can communicate with sensors on the shoes of a second user. Other topographies can also be used.
    Computer 102 can exchange data with sensors and can also communicate data received from sensors via network 132 to server 134 and / or another computer 102. A user can use headphones to receive audio information from the computer 102. from one or more of the sensors, server 134, network 132, other locations and their combinations. The headphones can be wired or wireless. For example, a distributed sensor 306 can communicate data to the headphones for the audible output to the user.
    For example, a user can wear shoes that are equipped with an accelerometer, a force sensor or the like, to allow computer 102 and / or server 134 to determine individual movement and metrics for each foot or other body part ( for example, of the foot, hand, arm, individual fingers or toes, the regions of the foot or leg, hips, chest, shoulders, head, eyes of a person), alone or in combination with the systems described above with reference to Figures 1A-8 and 2A-2B.
    The data processing can be distributed in any form or performed intellectually in a shoe, on computer 102, on server 134 or their combinations. In the description below, computer 102 can be described as performing a function. Other devices, including server 134, a controller, another computer, a shoe or other garment maker35 or other device may perform the function, instead of or in combination with computer 1Ô2. For example, one or more sensors from each shoe (or other peripheral sensor) can be coupled with a respective local controller 16/40 that performs some or all of the raw signal output processing by one or more sensors. The processing of the controller, at any time, may be subject to the command and control of a computing device in higher layers (eg, computer 102). That layered device can receive and process the signals from the processed sensor, from that or several controllers, for example, by means of one or more transceivers. Comparisons and calculations can be made on one or more computing devices, inducing some or all of the above computing devices, with or without additional computing devices. The sensors can detect the desired conditions and generate raw signals, the raw signals to be processed, in order to provide the processed data. Processed data can be used to determine current performance metrics (eg movement speed, etc.) and determinations can change based on the user (eg, how high did my jump reach ) And / or programming (for example, the user did the indicated exercise and, if it is detected, how it is qualified / quantified in the user experience).
    In one example, sensors 304 and 306 can process and store measurement data ® forward processed data (such as average acceleration, maximum speed, total distance, etc.) to computer 102 and / or server 134. Sensors 304 and 306 can also send raw data to computer 102 and / or server 134 for processing. Raw data, for example, can include an acceleration signal measured by one. 20 accelerometer over time, a pressure signal measured by a pressure sensor over time etc. Examples of multi-sensor clothing and the use of various sensors to monitor spartifact activity are described in American Application No. 12 / 483,824, entitled FOOTWEAR HAVING SENSOR SYSTEM and published as American Publication No. 2010/0063778 Al is American Application No. 12 / 483,828, entitled “FOOTWEAR HAVING SENSOR SYSTEM and published as an American Publication. No 2ÕW / 0063779 Al. The content of the patent applications referenced above are incorporated herein for reference in its entirety. As a specific example, an athlete can wear 302 shoes having one or more of the force sensor systems that use force sensitive resistor (FSR) sensors, as shown in figure 2A and described in the above 30 patent publications, The 302 shoe may have several FSR 206 sensors that detect forces in different regions of the user's foot (heel, midsole, toes, etc.) Computer 102 can process data from FSR 206 sensors to determine the balance of a user's foot and / or between the two feet of a user. For example, computer 102 can compare a strength measurement for an FSR 206 from left footwear with a strength measurement for an FSR 206 from right footwear to determine balance and / or weight distribution.
    Fig. 38 is another example data flow diagram on computer 102.
    17/40 that interacts with at least one 308 sensor processing system to detect the user's actions. The sensor processing system 308 can be physically separate and distinct from computer 102 and can communicate with computer 102 via wired or wireless communication. The sensor processing system 308 can include sensor 304 as shown, as well as other sensors (such as sensor 306). in Sugar de or in combination with sensor 304. In the illustrated example, the sensor system 308 can receive and process data from sensor 304 and sensor FSR 206, Computer 102 can receive commands from a user about a session type of activity (such as multifunctional training, basketball, link racing.) that the user wants to perform, Instead of 10 or in addition, computer 102 can detect a type of activity that the user is performing or receive information from another source about the type of activity activity being performed.
    Based on the type of activity, computer 102 can identify one or more predefined action models and communicate a signature to the 308 sensor system. Their action modes can be used to identify movements or actions that a user can perform during particular type of activity. For example, an action may correspond to a group of one or more events, such as detecting that a user has taken a step to the right followed by a step to the left or detecting that a user has jumped by shaking his wrist. Therefore, different sets of one or more action models can be defined for different types of activities. For example, a first set of action models defined for basketball could include dribbling, throwing, blocking for rebound, performing a unam slam dunk, running and the like. A second set of defined action models for football can include kicking a ball, dribbling, stealing the ball, heading the buoy, etc. The action models can correspond to any desired level of granularity. In some examples, a given activity group may include 50 to 60 models. In other examples, an activity type can correspond to 20 to 30 models. Any number of models can be defined as needed for an activity type. In other examples, the models can be selected manually by a user, instead of being selected by the system.
    Sensor signatures can allow the 308 sensor system to select the sensors from which the data will be received. The sensor processing system 368 can manage signatures that are used at any given time. The types of signatures can include data of force-sensitive resistance of one or more force-sensitive resistors, the acceleration data of one or more aeterometers, sum information of several sensors (such as the sum of the acceleration data, scabies resistance data on one or more sensors, etc.), pressure maps, ie, gravity-adjusted sensor data, derivatives of force sensitive resistance, derivatives
    18/40
    acceleration and the like and / or their combinations in some examples, a single signature can correspond to a sum of data from multiple sensors. For example, if a model requires a change in the strength of a user's forefoot, a single signature can correspond to a sum of forces from all sensors in the forefoot. Alternatively or additionally, the force data for each of the force sensors on the front of the foot may correspond to a different signature.
    For example, if the 308 sensor system includes four force-sensitive resistance sensors and an accelerometer, signatures can specify which of these five sensors are monitored to obtain the sensor data. In another example, signatures may specify receiving or monitoring sensor data from an accelerometer on the right shoe, but not an accelerometer on the left shoe. In another example, a subscription may include monitoring data from a sensor positioned on the pulse, but it is not a heart rate sensor. Signatures can also specify sensor limits to adjust the sensitivity of a sensor system's event detection process. Thus, in some activities, the 308 sensor system can be instructed to detect all power peaks above a specified first limit. For other activities, the sensor system 308 can be instructed to detect all power surges above a limit as specified. The use of different sensor signatures can help a sensor system to save energy, if some sensor readings are not required for a given activity. Thus, different activities and types of activity can use different sensor signatures.
    The processing system of the 308 sensor can be configured to perform the initial processing! raw sensor data to detect various granular events. Examples of events may include foot movement or takeoff when jumping, maximum acceleration over a period of time, etc. The sensor system 308 can then pass events to computer 102 for comparison of various models to determine whether an action has been taken. For example, the 308 sensor system can identify one or more events and wirelessly communicate BLUETOOTH® Low Energy (BLE) packets, or other types of data, to computer 102. In another example, the 308 sensor system can, alternatively or additionally, send the raw sensor data.
    After receiving events and / or raw data from the sensor, computer 102 can perform foot-correspondence processing including the determination of various activity metrics, bed repetitions, air time, speed, distance and the like. The classification of the activity can be performed by identifying various events and actions represented within the data received from any number and type of sensor. Thus, q tracking and monitoring of activities may include determining whether one or more expected or known actions within a type of activity have been carried out and the methods
    19/40 tricks associated with these actions- In one example, the actions can correspond to series of- one or more low-level granulating events and can be detected using pre-defined action models.
    For example, using action models, computer 102 can automatically detect when a user has performed a particular activity or a particular movement expected during that activity. If a user is playing basketball, for example, detecting that the user has jumped by shaking his wrist may indicate that the user has thrown. In another example, detecting that a user moved both feet out while jumping and then moved their feet in while jumping can be recorded - with the user performing 10 of a repetition of a jumping exercise. A variety of other models can be defined as desired to identify certain types of activities, actions or movements within types of activities.
    Figure 4 illustrates examples of sensors of the 3G4 pedometer that can be incorporated into and removed from a sidewalk according to the example configurations. Pedometer 304's sensor 15 may include a rechargeable battery. which can be recharged when inserting into a 402 wall adapter. Wired or wireless charging of the 304 pedometer sensor can be used. For example, the 304 pedometer sensor can be charged by induction. In some examples, a 304-1 pedometer sensor can be configured with an interface (such as universal serial bus), allowing the insertion of a computer or other device to download and / or receive data. A pedometer sensor interface can provide wireless or wired communication. For example, software updates can be loaded on the pedometer sensor when connected to a computer. In addition, the wireless pedometer sensor can receive software updates. When physically attached to a computer 102 (or another device that has a port), the pedometer sensor can charge and communicate with computer 102.
    Figure 5 illustrates examples of configurations in the body for computer 102 according to the examples of configurations. Computer 102 can be configured to be used in the desired touches on the user's carp, bed, for example, on the user's arm, leg or chest integrated into the clothing. For example, each piece of clothing can have its own integrated computer. The computer can be a thin client triggered by the context of what the user is doing or equipped / connected to the network. Computer 102 can also be removed from the user's body, as shown in figures 6 to 7.
    Figures 6 to 7 illustrate examples of out-of-body configurations for computer 102 according to the example configurations. The 1Õ2 computer could be placed 35 on a 602 docking station to allow viewing the graphical user interface on a larger screen and outputting audio through a sound system. As in other examples, computer 102 can respond to voice commands, by direct command from the user
    20/40 (for example, using a keyboard), via remote control or other ways to receive user commands, Other configurations outside the body may include running the computer 102 on the floor or table nearby, where a user is if I will, by storing computer 102 in a training bag or other storage object, placing computer 102 on a tripod 702, and placing computer 102 on a mounting wall 704 .: Other configurations outside can also be used of the body. When worn outside the body, the user can wear headphones, wrist devices etc. that can provide real-time updates to the user. The sensor of the pedometer-304 and / or the distributed sensor 306 can communicate wirelessly with the computer 102 for the locations outside the body when in the interval, in Periodic time intervals., When activated by the user, it can store data and send data to computer 102 when in range or when requested by the user at a later time.
    In one example, the user can interact with the graphical user interface (GUI) 15 of computer 102. Figure 8 illustrates an example of a graphical user interface display presented by a computer display screen 102 according to the examples of settings. The 802 home page display of the graphical user interface can display a home page to provide the user with general information, to prompt the user to select the type of physical activity session the user is interested in and to allow the user to recover information about previous sessions (for example, basketball games, exercises, etc.) The computer screen 102 can be touch sensitive and / or can receive user commands through a keyboard or other input. For example, the user can touch a display screen or give another command to make the computer 102 perform operations.
    To obtain information about the previous session, the user can touch or set a bell 804, including the last session so that the 'computer 102 updates the initial page display 802 to display performance metrics (such as vertical jump, total time in the air) activity points, etc.) from at least one previous session. For example, the selected field 804 can expand, as seen in figure 8, to display information about the duration of the last session, the maximum vertical jump of the user, the total amount of time that a user was in the air during the last session and the incentive slips (activity guidelines) gained in the previous session. Computer 102 can determine performance metrics (speed, vertical jump, etc.) when processing data detected by sensors 304 and 308 or other detection devices.
    The 802 home page display may prompt the user to select whether they want the computer 102 to monitor one or more user performance metrics during a training session or sports activity (for example, monitor my Game) by selecting the
    21/40 camp 806 or helping the user to improve their sports skills (for example, improve my game), selecting field 808. Figures 9-21 cover the first topic and figures 22-3i cover the second.
    Figure 9 illustrates examples of performance metrics for user selection according to the configuration examples. For example, a user might be interested in monitoring their total activity time, vertical jump, distance and calories burned and / or other metrics and can use the 802 home page view to select the desired metrics shown in figure 9. The metrics also may vary according to the type of sports activity performed in a session. For example, the 10 802 home page screen may display certain standard selections of performance metrics, depending on session activity. The user can provide data to change the default selections of performance metrics.
    Other performance metrics other than those shown in figure 9 can induce a total number of jumps, a series of vertical jumps over a certain height (example, 15 over 3 inches), a number of runs (example, over a certain speed, user selected o »specified by computer 102), a number of fakes (for example, quick changes of direction), a jump recovery (for example, a faster time between two jumps), a training rate (can be a function of the average power multiplied by the duration of the training session), a level of the training rate (for example, low, medium, high), the total steps, steps per unit of time (for example, per minute), number of explosions (for example, number of times a user has exceeded the speed limit), balance, weight distribution (for example, comparing the weight measured by an FSR 206 on a user's left shoe shows the weight measured by an FSR 206 in a user's right footwear, as well as the number of FRSs 206 in a pair of pants25), average session duration, total session time, average number of repetitions per exercise, average number of points earned per session, total number of points, number of calories burned or other Performance Indicators. Additional performance metrics can also be used.
    In one example, computer 102 can ask the user to indicate which metrics to monitor for each type of session (for example, baseball, football, basketball, etc.) and store the metrics identified in a user profile. Computer 102 can also prompt the user for the desired metrics at the beginning of each session. In addition, computer 102 can track all performance metrics, but can only display selected metrics to the user in the graphical user interface. For example, computer 102 can only monitor certain basic metrics (for example, the battery life can be extended to vary the responsiveness, to avoid data overload, etc.). If the user wants to analyze other metrics than. displayed current
    22/40 through the graphical user interface, the user can enter the desired metrics, and computer 102 can update the graphical user interface accordingly. The metrics displayed can be changed at any time. Standard metrics can be displayed once the session is resumed or another session begins.
    If computer 102 monitors more metrics that can be displayed, computer 102 can then move to a lower level of control (for example, as resources are consumed in conjunction with warnings to the user), decreasing and across the bottom, and finally , until one or no metrics being monitored. For example, computer 102 can only display basic metrics for a user, unless or until configured by the user. Based on resources, computer 102 can narrow down what is being displayed to show only basic performance metrics or few metrics. The sensors can continue to monitor the other performance metrics, and the data from these sensors can be made available later (via web experience, etc.)
    At the start of a session, computer 102 can calibrate the shoe sensors. Figures 10 to 11 illustrate an example of sensor calibration according to the example configurations. Caiibration can involve computer 102 confirming the ability to communicate directly or indirectly with sensors (for example, sensors 364 and 306), informing that the sensors are working correctly, that the sensors have the appropriate battery life and establish data baseline, 20 For example, computer 102 can communicate with the pedometer sensor 304 and distributed sensor 306 on a user's shoes (for example, sending a wireless signal). The pedometer sensor and the distributed sensor can respond with the requested data. Caiibrage can also occur in other cases (for example, mid-session, at the end of a session, etc.)
    During Caiibration, the GUI can ask the user to stand and do baseline data measurements with pedometer sensor 304 and distributed sensor 306 (for example, acceleration, weight distribution, total weight, etc.), as can to be seen on displays 10G2A-B, the calibration can also ask the user to individually raise their feet to allow the computer 102 to determine which foot is associated with which sensor data. The distributed sensor 306 can also be encoded with the shoe information, such as, for example, type of shoe, size, color, which foot (right or left) etc., that the computer 102 obtains during the calibration. Computer 102 (or server 134) can process the response from sensors 304 and 306 and update the graphical user interface to inform the user of any problems and how to deal with these 35 issues (such as battery change etc.) or if the calibration was successful, as seen in the 1002C display. In figure TI A, for example, field 1104 shown to the left of display 1102A includes examples of battery life, as well as the status of connectivity (connec23 / 40 teco, not connected). , Calibration can also occur in certain events, such as detecting the removal of a 304 pedometer. Based on the calibration, the 11028 display shows a weight distribution for the user and a 1105 meter representing the remaining battery life. Whether as part of the calibration of one or more sensors and / or as a characteristic or separate function, a graphical user interface can be configured to present performance data in real time considerably (i.e., as fast as it can be allowed to capture ( and / or process) and transmit the data to the display). Figure 118 shows examples of graphical user interfaces that can be implemented according to a configuration in the body. As can be seen in figure 11B. display 10 1102C can provide one or more selectable activity parameters for the display of captured values related to that knowable parameter. For example, a user who wants to see the values related to their vertical height during a jump can select the “vertical” icon (see icon 1108); however, other icons may include, but are not limited to: speed (which can display values for steps per second and / or distance per second), pressure and / or any other detectable parameter. In other configurations in the body, a variety of different parameters can be selected for simultaneous display. However, in other configurations, it is not necessary for the parameters to be selected. The default parameters can be displayed in the absence of a user command. Data on the parameter (s) can be provided on the display 1102C in 20 real time. For example, output 1110 indicates that the user has skipped “24.6 INCHES. Values can be provided graphically, as, for example, represented by a graph 112, indicating that the value is 24.6 inches. In certain forms of configuration, the output of values, such as through outputs 1110 and / or 1112, can show data in real time; however, in other forms of configuration, at least one of the 25 outputs from 1110/1112 can have other values, such as history values, desired goal values and / or a maximum or minimum value. For example, graph 111.2 may vary depending on the height of the current user (in real time); however, output 1110 can display the user's highest recorded jump during the session or the best performance ever. The production of values or results can be correlated with physical objects and / or actions. For example, a user jumping over a vertical height within a first range, such as between 24 to 30 inches, may receive an indication that they can jump over a bicycle (see example 1102D in figure 118). As another example, the values related to the number of steps per second of a user can be correlated with those of real animals and displayed. Experts in the field 35 will realize that other physical objects can be used according to the different configuration tormus.
    Computer 102 can request the user to start a session. Figure 12 illustrates
    24/40 example of graphical user interface displays presenting information about a session according to the configuration settings. The 1202A display can initially prompt the user to check in on a court to start a session. The user can also inform the type of session (such as exercise, practice, acceleration game, league, half court game, full court game, 3 against 3.5 against 5 etc.) The 1202B display can inform the user about the duration of the session, as well as warn the user to pause and / or end his session. The 1202C display can show the user's current performance indicators (for example, maximum vertical, air time, pace, etc.). For display purposes, the 1202 display can display standard statistics or user-knowledge10, but a jolt or another gesture can trigger a screen scroll, sequencing groups of a predetermined number of performance metrics (for example, 3 or another number, based on performance metrics that can be shown on the screen in portrait mode instead landscape orientation) or offers other performance metrics,
    Computer 102 can also update display 1202 when a particular event is identified. For example, if a new record (for example, best personal mark) is identified (for example, new maximum vertical jump), computer 1202 can update the web (for example, color, displayed information, etc.), vibrate, sound a Noise indicative of the specific record (for example, based on the color change, positioning on the footwear corresponding to a specific measurement) or to warn the user that any record type (any measurement) has been reached, Q display 1202 can also present a button for 0 user to select meaning a record has been reached. The 12Q2B display can prompt the user to check their performance metrics (for example, check my statistics), as described in figure 13
    Figure 13 illustrates an example of demonstrating a graphical user interface providing a user with information about his performance data during a session according to the example configurations. The display 1302 can show information about the duration of a current or previous session in field 1304, various performance indicators (such as vertical maximum, total time in the air, pace, etc.) for the user at 30 oampo 1308, as well as for the user that played together during the session at field 1310, For example, computer 102, sensor 304 or 306 or another device related to a first user can exchange a first user identifier, with a computer 102, sensor 304 or 306 or another device related to a second user so that each computer can be aware of who participated in a session,
    Computer 102 can also process performance indicators to assign a style of play to the user, as indicated in field 1306. Field 1306 may indicate that the user is a “lightning bolt” in response to the determination that the user is struggling
    26/40 started for 30 consecutive minutes. The box to the right of field 1306 can indicate alternative play styles,
    Computer 102 can identify other types of play style. For example, computer 102 can assign a “silent killer” game style to identify periods of inactivity followed by explosive movements, a “vortex” game style when a user exhibits little movement or jumps during the session, a style play goat “play goat when a user exhibits easy perpetual movement with big explosions and jumps, star racing style when a user is fast, has good stamina and has a high peak speed and a“ flying style when a user has a big vertical jump and a long time in the air. In some instances, more than one style can be assigned to the user, with a different style associated with an individual session compared to another session. Several styles can be assigned and displayed for a single session.
    Computer 102 can assign a certain style of play based on the user receiving data from, at least, a pedometer 304 sensor (for example, 15 accelerometer data), distributed sensor 306 (for example, farm data) au other sensors. Computer 102 can compare the user data against the style of the game for a variety of different play styles to determine which of the style of games is most similar to the style of the data. For example, computer 102 can set limits on performance metrics for each of the play styles. Some game styles 20 may require that, at least once during the session, the user jump a certain height, run at a certain speed, play for a certain period and / perform other exercises Other game styles may require that the user's data indicate if the user performed certain sequences of events (for example, little movement followed by rapid acceleration to, less than, a certain maximum speed). Some play styles may require 25 that user data indicates that the user has maintained their limits for a certain period (for example, maintained average speed over the course of a game).
    In one example, a game style could be assigned based on a set of data obtained from a set of sensors, including sensors used at various locations on a user's body (for example, accelerometers on the gtutea or the stride for 30 identify an EXPLOSIVE game style). In addition, other data not related to the activity may determine a style of play, given the user's profile (for example, age of the user, height, gender, etc.) For example, some play styles may be gender specific or based on the conditions of the environment (for example, a “PORTFOLIO” style, why the user plays in rain, hail, snow, etc.).
    A user or group of users can define their own style of play, based on a combination of metrics and analysis. Users or groups of users can change the name of a game style, without changing the associated metrics and analysis. The styles of
    26/40 game can be updated automatically. For example, personal training system 100 can periodically update a game style specified by system 100. In another example, system 100 can automatically update a game style when the name of the game style is associated with a particular location (for example, example, state, city, 5 blocks) and if the style of play is known by a different name elsewhere (for example, keep the name according to local jargon).
    In figure 13, display 1302 allows the user to share his performance metrics with other users and / or post on a social rode site by selecting field 1312. The user can also enter a message (for example, “check my jump ver10 stay ) to track performance metrics being sent, Computer 102 can distribute performance metrics data from an current and / or previous session and send to server 134 in response to a sharing request sent by a user. Server 134 can embed the data and / or the message on the social networking site and / or can distribute the data / message to another user or to all users.
    Figure 14 illustrates the example of graphical user interface displays showing information about a virtual user card (veard) according to the example configurations. Veard can include information about the user's sporting history, veard can include data about the performance metrics of the user, sessions and awards 20 in individual sessions, as well as the averages of the performance metrics. The 1402A flight statistics display can indicate a number of points a user has acquired (for example, activity points or metrics), as well as the user's totals and / or best performances. Activity points can be a statistic indicating physical activity performed by a user. The server 134 and / or the computer 102 can grant points of activity to the user by obtaining certain athletic milestones. The veard 14028 sessions display could indicate a total playing time and the number of sessions a user has completed, as well as providing historical information about concurrent sessions. The display of sessions veard 14028 can also indicate a style of play that the user displayed in each session, as well as the duration of the session and the date of the session. The display 30 of the veard 1-402C awards can indicate awards that the user has accumulated over time. For example, server 134 and / or computer 102 may grant the user the flight club bonus after accumulating a certain amount of time in the air during sessions.
    Other example awards may be a * king prize of the court for a user who has one or more maximum metrics on a specific court, a 35 mile passenger award won with a mile of flight time (or for other time values and distance), a worldwide prize when a player participates in sessions in several countries, an ankle-breaking award for those who have at least one card
    27/40 top speed or faster first step, a king jump award * for a user who has skin less than a certain vertical jump, one available 24 hours ”award for a user who has a certain number of consecutive days or on a certain number of different courts, an ice-man award for when a certain number of rivals follow a user, a black mamba if an even greater number of rivals follow a user (compared to an oe-man), a prodigy award for a young man player who achieves certain levels of performance methods and an old guard award for older players who achieve certain performance metrics. Other types of prizes can also be awarded.
    Figure 15 illustrates an example of a graphical user interface user profile display showing a user profile according to the example configurations. The 1502 user profile display can display information about the user, such as height, weight and position, style of play (for example, silent killer ”), as well as other information. The 1502 user profile display can also indicate one or more types of shoes used by the user. The 1502 user profile display can display information about user activity and allow the user to control the sharing of that Information with other users. example, and the user can specify which other users can view the user's profile information or can make all user information available to any other user. Figure 16 illustrates more examples of user information that can be displayed on the user profile display. user 1502 according to the example configurations.
    Figures 17 to 20 illustrate other demonstration examples of a graphical user interface providing performance data for a user according to the configuration examples. During and / or at the end of a session, computer 102 can communicate with, at least, a pedometer sensor 304, distributed sensor 300 or another sensor, to obtain data to generate performance metrics. Examples of graphical user interface displays when capturing data are shown in figure 17, the maximum vertical jump on display 1702A, total air time on display 1702B, time statistics on display 1702C and points on display 1702D. The scroll bar 1704 represents the progress in transferring data from the sensors to the computer 102.
    Figure 16A illustrates example jump displays related to a user's vertical jump according to the configuration examples. Computer 102 can track information about the user's vertical jump during an exercise session, as well as at which times during jumps occurred at the session. Computer 102 can determine a user's vertical jump based on an amount of time in the air when a user's feet leave the ground and when they do. feet touch the ground again. Computer 102 can process accelerometer data from pedometer 304 sensor and / or
    28/40 force data from the distributed sensor 300 to determine when the user's feet are off the ground and when the feet touch the ground. Computer 102 can also compare user data from the pedometer sensor 304 and distributed sensor 306 with jump data to confirm that the strong user jumped and landed, instead of 5 just lifting their feet off the ground or hanging from a basketball hoop (or other object) for a predetermined time. The jump data can be data generated to indicate what a strength profile and / or an acceleration profile should look like for someone who actually made a jump. Computer 102 can use a similarity metric when comparing user data to jump data. If user data is not sufficiently similar10 to hop data, computer 102 may determine that user data is not a hop and may not include user data when determining a user’s performance metrics (for example, maximum or medium vertical jump).
    Since computer 102 determines that user data is a jump, computer 102 can process user data to determine a vertical jump, the time of a vertical jump, a user's average vertical jump height, maintain a run total time in the air for jumping and / or determining which of the feet is dominant, as well as other metrics Computer 102 can identify a dominant foot based on force data and / or data from the accelerometer, associated with each shoe. Force data and / or accelerometer data can include time information, so computer 102 can compare events on each shoe. Computer 102 can process force data and / or accelerometer data, as well as time information to determine which was the last foot on the ground before a jump. Computer 102 can identify a dominant foot based on the one that is the last to rest on the ground when a user jumps and / or the foot associated with a user's largest vertical jump. Computer 102 can also display the 1802A jump display, including a user's five best vertical jumps and depict which foot or both feet was the last on the ground immediately before jumping. The hops display 1802A can display any desired number of the best hops, which can be specified by the user or defined by the system 100. The number of hops can be based on an amount of time. For example, the jump display 1802A can show the first five hops over the total time of a session, the top five in the most recently predetermined number of minutes, or percentage of total session time I based on the type of session (for example, an amateur basketball game compared to an organized game). The 1802A jump or 1802B display can also display vertical jumps at different durations than per session and can include, for example, the month, 35 weeks, all time or other time intervals. The T8Õ2A or 1802.8 jump display can also show a total number of jumps, an accumulated amount of suspension time, an average time in the air, time in the air corresponding to a higher vertical jump or
    29/40 other information about the jump. The orientation of computer 102 can control which of the 1802A hop displays and 18028 hop displays are currently being displayed. For example, a user can rotate the computer 102 (for example, 90 degrees) to change the display of the 1802A jump display (for example, a portrait orientation) to the δ 1802B jump display (for example, a landscape orientation). A user can rotate computer 102 in the opposite direction to change from the jump display 1802A to the display 1802B. Likewise, computer rotation 102 can be used to switch between displays in other examples described here.
    In another example, the jump display 1802B asks to display a user's jumps logically over the course of a session and asks to indicate the time when a jump occurred, as well as the vertical height of each jump during the session. The 1802B display can also display a user's best personal vertical jump in a previous or previously defined session during the session. For example, a best personal line can be changed during a session or through a step function or by adding a new line of a new best item to complete the existing line (for example, a “new best 'color) and showing the lines of the session in which the new record occurs. Computer 102 can also update the 1802B jump display, replacing the previous personal line workout (for example, in a color) with a new line (for example, with a new personal record color, which can only be used during the session where the best personal streak occurred), In addition, the color may change as the user's best personal streak improves to indicate ability compared to other users (for example, you jumped higher than 85¾ of other users).
    The bounce display 1802B may include a play zone (for example, the dunk area), indicating when a user may be able to perform a performance 25 (for example, dunking a basketball). Computer 102 can adapt the performance zone to the user based on the user's physical attributes (for example, height, arm length, leg length, trunk length, body length, etc.). For example, a dunk area may require a higher vertical jump for a lower user than for a higher user.
    A performance zone can correspond to a variety of values, a minimum value or a maximum value. One or more boos may correlate when a user's athletic performance reflects that they can perform a specific action. For example, a play zone can be a minimum vertical jump that would allow a user to dunk a basketball. The user does not really need to perform the act (for example, dunk), but instead the play zone can indicate when computer 102 calculates that the user would be able to perform this action.
    Based on sensor data obtained in one or more sessions, the computer
    30/40
    102 can provide a recommendation to help the user reach the performance zone. For example, computer 102 analysis of sensor data associated with user hops can provide more feedback to. user to improve the ability to enter the burial zone or improve personal records in the air For example, computer 102 can process sensor sensors and recommend that the user adjust certain parts of the body to increase the user's jumping ability. In another example, computer 102 may suggest that the user obtains greater acceleration of the dominant foot or more pressure on the trailing foot by increasing the acceleration of the trunk.
    A performance zone can be established for any desired athletic movement 10. The sample performance zones can correspond to a minimum pressure value measured by the distributed sensor 306, a maximum pressure value, the pressure within a certain range or pressures. Other example performance zones can correspond to a minimum pressure value measured by the distributed sensor 306, a maximum pressure value, the pressure within a certain range or pressures. In addition, a performance zone can be based on a combination of different measurements or a sequence of measurements. For example, a performance zone can specify at least a certain amount of acceleration, followed by at least a certain value of time in the air, followed by at least a certain measured pressure value.
    In gymnastics, for example, the acceleration and rotation of the body can be monitored.
    For example, it may be desirable for a gymnast to have a certain amount of body rotation when descending from the uneven bars. If the gymnast spins too fast or too slowly, he cannot orient his body in a proper position when landing. The performance zone can be a “swing zone” specifying minimum and maximum relational accelerations, and computer 102 can monitor above and below rotation to provide the gymnast with feedback if he is within a performance zone by releasing the bar. The computer 102 can provide a recommendation to adjust certain parts of the body to adapt the acceleration when descending from the bar to increase or decrease the user's rotation; A play zone can be established for other sports (eg athletics, golf etc <).
    Computer 102 can adapt the performance zone based on feedback received from the user. For example, computer 102 can receive a comment from a user, indicating which vertical jumps the user was able to perform the action on (for example, dunking a basketball), and computer 102 can adjust a minimum vertical jump required for that the user is within the performance zone based on user feedback Computer 102 can grant one or more activity points to a user 35 for being in the performance zone, as well as for the amount of time the user keeps his performance within the performance zone. Computer 102 can also determine an amount of calories burned by the user,
    31/40
    while in the performance zone.
    Computer 102 can display information indicating a rate of activity points gained by a user over the duration of an exercise session. Figure 18B illustrates an example of the 1804 activity point display according to the example configurations. Computer 102 can determine and grant activity points to a user during the workout. For this, computer 102 can compare the user's measured performance with any number of metrics to grant activity points. For example, computer 102 can grant a predetermined number of points of activity to run a predetermined distance. As can be seen in figure 18B, s line 1806 of the activity point display 1804 can represent the rate at which a user gained activity points at various times during the exercise session, line 1808 can represent an overall average rate in the which a user accumulated activity points, line 1808 can represent the average rate at which the user accumulated activity points during that specific session, and line 1812 can represent a better general rate for the accumulation of activity points. For example, line 1806 can represent how many activity points a user accumulates per minute or another time interval (for example, per millisecond, per second, for ten seconds, for 30 seconds, etc.). The 1804 activity point display can also display indications, such as lines, indicating other matrices, such as averages, including, but not limited to, an average rate of activity points accumulated over a predetermined number of previous sessions (for example, example, in the last three sessions). In addition, the lines can be of different colors. If a new all-time record is set, the 1804 activity point display may flash or display an indication representing that achievement.
    Computer 102 can categorize the activities performed by the user, as well as the percentage of time during an exercise session in which a user was in a particular category and present that information to the user on the 1804 activity point display. For example, the display 1804 activity points can indicate a percentage of time during the session in which the user was inactive, a percentage of time in which the user moved sideways, a percentage of time in which the user was walking, a percentage of time in which the user was walking the user was running, a percentage of the time the user was eating at full speed and a percentage of the time the user was jumping, etc. Other categories may also be displayed instead of or in combination with those shown on the 1804 activity point display. In addition, the 1804 activity point display may show a cumulative amount of time, instead of a percentage of time, for each one of those statistics. Computer 102 can determine the amount of activity points a user has gained in each ca32 / 40 tegory, as well as the total amount of activity points earned during an exercise session and display this information on the 1804 activity point display. For example, computer 102 can determine that a user has gained 25 activity points while walking, 75 activity points during jogging and 150 activity points 5 during normal running, adding up to a total of 250 activity points. Computer 102 can also determine a calorie burn rate for each of the categories, instead of or in combination with the de-termination of activity points,
    Computer 102 can also display performance metrics data based on measurements of a user's activity and pace. Figure 19 illustrates an example of the T902A-B 10-effort display and the 1904A-8 rhythm display according to the example configurations. The 19Õ2A effort display can display a user's effort over time during a session, as well as other performance metrics. For example, computer 102 can track various performance metrics, including a total of running jumps, runs, simulations and jump recovery (for example, the shortest time between consecutive jumps) during a session, and strives it may be a function of these metrics. With reference to the 19Ô2B effort display, computer 102 can divide the effort into three categories: low, medium and high. More or less categories of effort can be defined. The 1: 9028 effort display can also display the 1906 line, indicating an average effort level for one session.
    With reference to the 1904A rhythm display, computer 102 can display user information during a session. The rhythm can be based on a rate. steps taken by the user over a period of time (for example, steps per minute). Categories can be defined by step rate ranges. For example, walking could be defined as 1 to 30 steps per minute, light running can be 31 to 50 25 steps per minute, normal running from 51 to 70 steps per minute and fast running of 71 or more steps per minute. With reference to the 19048 rhythm display .. the computer 102 can indicate how many times a user has been in each category during a session. For example, the 1904B rhythm display can indicate what percentage of time a user has been in each category (for example, 12% running fast). The 1904 rhythm display can also indicate a user's faster number of steps per second (eg 4.1 steps / second) or any other time interval, a total number of steps, a total number of fast runs etc. .
    Computer 102 can also inform the user of activity points obtained during the exercise, as well as the total accumulated activity points. Figure 20 illustrates an example of displaying activity points from a graphical user interface, inferring about the points gained during a session, according to the example configurations. Computer 102 can process data obtained during a training session
    33/40 to award points to a user. Points can neutralize a user's activity in different sports and training sessions. The 2002A-B point display can allow the user to determine the points earned by Date range, training session or other intervals.
    Computer 102 can also track the movement of the defined user. Figure 21 illustrates examples of the freestyle demonstrations of a graphical user interface providing data on a user's freestyle movements according to the configuration examples. On the 2102A freestyle display, computer 102 may prompt the user to initiate a tracking motion. The user can perform any desired type of movement, indicated below as a 'free style' movement. On the 21028 freestyle display, computer 102 can display a user's vertical jump, time in the air and the foot used for a jump during the freestyle movement. The 2102B freestyle display can display d: and performance metrics considered relevant by the system 100, the user, or both. For example, performance metrics could be vertical jump, 15 time in the air, foot, as shown on display 2102B, can be weight distribution as shown on display 2Q02C or both options with the user switching between metrics. In the 2T02C freestyle display, computer 102 can display a weight distribution measured by the distributed sensor 306. The user can also analyze weight distributions ac over time to determine how the user's weight distribution may have affected a user's willingness to move or jump. A user can, for example, slide his fingers across the display to switch between displays 2102A to 2102C.
    In addition to monitoring a user's performance during a session, computer 102 can help the user improve their athletic skills. Figure 22 illustrates 2202A-B training displays showing user selectable training sessions according to the configuration examples. The training sessions can guide the user through a series of movements that aim to improve the user's athletic ability. Sample training sessions may include a pitch practice, basketball game “all around the world”, buzzer beaten game, basic game, time in air game, continuous crossover game, free throw game, 30 among others. These training sessions are best described in figures 23 to 26. For example, computer 102 may have a touch screen to allow the user to select the training sessions shown in figures 23 to 26.
    Figures 27 to 30 illustrate demonstration screens for the graphical user interface for a basketball pitch training session according to the configuration examples. In figure 27, the training display 2702 can present the User with Information about his last session (for example, percentage of free throws, three points and jump shots) and ask the user to start a new session.
    34/40
    Computer 102 can monitor taps on a pressure-sensitive screen to track errors and hits. For this, the computer 102 computer can monitor how many fingers were used to distinguish between pitches. For example, three fingers can be used to indicate a three point throw in basketball, two fingers can be used 5 to indicate a two point throw, and a single finger can be used to indicate a free throw, as seen in the figure 28. A touch of one or more fingers on the display screen may indicate a dotted pitch, s passing one or more dice along part of the web may indicate an unsuccessful pitch. In other examples, running one or more fingers down on the computer screen 102 may indicate a dot shot, and 10 moving one or more fingers from the bottom up may indicate a wrong shot.
    Computer 102 can process the user's command to determine a certain number of fingers used, such as between a touch and a swipe. Computer 102 can determine the amount of screen area covered by fingers when touching and / or swiping. on the screen to distinguish between one. two or three fingers. Computer 102 can also determine the duration of contact is whether the region of the display screen initially touched by the user differs from a region of the final screen of the touch to distinguish between a touch and a swipe. At the end of a session, the training display 2702 can show the user information about hits and errors, as shown in figure 29 The training display 2702 can display hits / errors by type of pitch, as well as the total for 20 all types of pitch. For example, training display 2702A can display hits and misses for free throws and training display 2702B can display hits and misses for jumping shots. The 2702B training display can aggregate two- and three-point pitches and display hits and misses together. Separate displays can display hits and misses for each type of pitch.
    Figure 30 illustrates example displays of a graphical user interface providing the user with information about the pitch training session according to the example configurations. The 3002A pitch summary display can allow the user to select all pitches or one type of special pitch to receive information on the percentage of pitches with points (for example, 55.6%), a list 30 of how many pitches scored consecutive points and the user's vertical jump point for hits. The Ideal point can indicate a vertical jump, in which a user's percentage of pitches (for example, the percentage of successful pitches) exceeds a predetermined value (for example, 50%). Computer 102 can process data from the pedometer 304 sensor and / or the distributed sensor 306 to provide the user with information about their hits and errors via the Graphical User Interface. This information can include the average vertical jump for hits and errors to inform the user of how the height of the jump affects their performance in the pitch, The catch summary display
    35/40 messos 3002B can inform the user which foot was used when jumping to shoot and also the height of the vertical jump and whether the shot was successful or not. The 3002C pitch summary display can provide you and the user with information on three hit and miss pitches.
    The 3002 pitch summary display can provide the user with statistical information on how their balance affects their pitches, indicating how many pitches were made with balance and how many were made without balance. Computer 102 can determine balance based on the measured weight distribution. by the distributed sensor 306 when the user made a pitch. If the weight is relatively well distributed between 10 feet of a user (i.e., within a certain limit), computer 102 can identify a pitch as balanced. When the weight is not reliably evenly distributed between a user's two feet (i.e., outside a certain limit), computer 102 can identify a pitch as being unbalanced. The 3002C pitch summary display can also provide the user with feedback on their balance and tips for correcting those15 who want problems with unbalanced weight distribution. For example, field 3004 can indicate how many shots were made when a user's weight was balanced and field 3006 could indicate how many shots were made with the user's weight out of balance.
    In one example, computer 102 can receive and process data generated by a force sensor to determine weight distribution while performing an exercise task (for example, a jump shot in basketball). Computer 102 can process the user's command, preventing the completion of an exercise (for example, a successful shot). The computer 102 can associate a weight distribution detected in a moment that precedes the user's command, indicating the successful completion of the exercises. For example, computer 102 can process sensor data to identify movement consistent with a basketball shot and determine weight distribution starting with takeoff detection when a user jumps during a shot, a period before takeoff, landing and a period after landing. Computer 102 can control the weight distribution during these periods. At a subsequent time (for example, second or subsequent pitch), computer 102 can process additional user commands, indicating an unsuccessful completion of the exercise (for example, an error). The computer 102 can associate a weight distribution detected in a moment that precedes the user's command, indicating the unsuccessful completion of the exercises. After or during the exercise session, the computer 35 102 can display information about the user's weight distribution and how the distribution affected the user's ability to conduct the exercise.
    The GUI can also provide the user with incentives to train
    36/40 basketball. Figure 31 illustrates an example of demonstrating a graphical user interface informing the user of the pitch marks according to the example configurations. The milestone display 3102 can inform the user of one or more pitch limits and how many pitches have been made. For example, the milestone display 3102 can indicate 5 that a user has made 108 shots, so that the user has reached amateur status and needs to make 392 additional shots to reach the next status level.
    As part of the exercises used to improve a user's skills, computer 102 can suggest to the user to perform movements similar to those used by professional athletes. Figure 32 illustrates examples of typical movement demonstrations for a graphical user interface 10 suggesting to a user to copy the typical movements of a professional athlete according to the example configurations. In addition to the typical movements of a professional athlete, users can create and share typical movements with other users.
    For example, a user can enter a search on the typical movements display 15 32 02 A to start the search for a desired professional athlete. Computer 102 can forward the search to server 134, which can return with search results, The server 134 can also provide the computer with 102 typical movement suggestions for demonstration before the user enters a survey. As seen in the demonstration of typical movements 3202A, computer 102 can display different types of movements 20 for user selection. With the choice of a specific movement, the demonstration of typical movements 3202b can present a video of the typical movement and provide the performance parameters of the professional for the movement. Computer 102 can, for example, request data from the server 134 for the typical movement chosen by the user to generate the demo. typical movement 32028. Typical movement data can include data from a pedometer sensor 304 and a distributed sensor 306 from a professional athlete performing the typical movement. The user can try to imitate the typical movement, and computer 102 can process the user's data to indicate the accuracy of the imitation.
    Upon completion of a typical movement attempt, computer 102 can inform the user how successful a foolish movement imitation is. Rare to identify a color30 response, computer 102 can compare the data obtained from the padometer sensor 304 and / or the distributed sensor 306 with the data of the typical movement, to determine if the two are similar. Computer 102 can monitor how long the user it took to complete the typical movement, a vertical jump by the user, the time in the user's air, the user's pace or other information and to compare these data with those corresponding to the 35 professional athlete. Computer 102 can also indicate how accurate the user's imitation of the typical movement of the professional athlete was, as shown in the 32Ô2C typical movement demonstration. Precision can be based on a combination of the similarity of
    37/40 each of the parameters gives performance in relation to those of the professional. Computer 102 can measure some parameters higher than others or measure each parameter Iguaimante. For example, typical movement data can provide information for three different measures and compare user data with each of the three measures. The computer 102 can determine the relationship between the user's performance parameters and the professional's and identify a combination if the index is above a certain level (for example, greater than 80% X Accuracy also requires to be determined in other ways.
    For example, computer 102 can receive typical movement data corresponding to the interaction and the measurement of force data measured by a first user 10 (eg, a professional athlete) performing a sequence of exercises (eg : basketball cuts, followed by a dunk). Computer 102 can receive and process user data generated by at least one of sensors 304 and 306, by monitoring the attempt of a second user to perform the same sequence of exercises. The computer 102 can then generate a similarity of parameters, indicating the level of similarity of the user data in relation to the data of the typical movement,
    Computer 102 can also provide the user with performance data from other users and / or professional athletes for comparison, as part of a social network. Figure 33 illustrates an example of demonstrating a graphical user interface in search of other users and / or professional athletes to compare performance data according to the examples, of configurations. Computer 102 can communicate with server 134 to identify professional athletes or friends of the user, as seen in demonstration 3302A. Each individual can be associated with a unique identifier. For example, the user can choose to add a friend or a professional, as seen in the graphical user interface demo on the left. When a user selects 25 to add a friend / professional, they can enter a survey on computer 102 to communicate with server 134, which can respond with people and / or professional athletes who match the survey, as seen in demonstration 33028. The The user can establish a user profile to identify their favorite professional friends and / or athletes so that the computer 102 can automatically load these Individuals, as seen in the 3302C demo.
    Computer 102 can present data to share with friends and / or post on a virtual satial network. In figure 34, for example, the 34Ü2A demo provides information about sharing, including points, vertical maximum, total air time and maximum rhythm. Demonstration 3402B, for example, provides a side-by-side comparison 35 of a user's performance with that of an identified friend. For example, server 134 can store performance data for each user and report the data to another user's computer 102, if requested.
    38/40
    Figure 35 illustrates example demonstrations to compare the performance of a user with dogs of other individuals according to the example configurations. For example, the 3502A demo can provide a leaderboard, for comparing a user's performance measures, to friends., Professional athletes chosen to all other users, including professional athletes »Examples of leaderboards can be a maximum vertical, maximum rhythm, total time on air, total games played, total prizes received or other performance metrics. The 35028 target allows a user to see individuals whose performances indicate whether or not they are in a performance zone (for example, dunk zone). Computer 102 10 can also allow the user to compare their performance to a specific group (for example, friends) or to all users.
    The above discussion was provided, primarily, in relation to. basketball, but the examples above can be applied to other team sports as well as individual sports,
    Figure 36 illustrates a flow diagram of an example of a method to determine if a physical data obtained by monitoring the performance of a user in a physical activity is within a performance zone according to the examples of configurations. The method of figure 36 can be implemented by a computer, with, for example, computer 102, server 134, a distributed computer system 20, a cloud computer, other equipment and a combination of these. The burn of the steps shown in figure 36 can also be rearranged, additional steps can be included, some steps can be removed and some steps can be repeated one or more times. The method can start at block 3602.
    In block 3602, the method may include processing data by specifying a user attribute. For example, computer 102 may suggest to a user to enter one or more user attributes. Examples of user attributes can include height, weight, length of the fathom, length of the lock, length of the leg, wingspan, etc. For example, the user can specify his body length. Body length can be a measure of the maximum height that can be reached by a user with one of his hands, when he keeps the opposite foot in the ohão.
    In block 3604, the method may include adjusting the performance zone based on the user's attribute. For example, computer 102 can adjust the performance zone related to the height that a user must jump to bury a basketball buoy, based on one or more of these user data: height, arm, trunk and leg length. For taller users, the performance zone can specify a minimum height of. smaller jump for the dunk of a basketball, compared to the minimum jump height required for a lower user to bury or reach the hoop of the basket.
    39/40
    In block 3608, the method can include receiving data generated by a sensor. For example, computer 102 can receive data from at least one sensor 304 and 306 during an exercise session, in which the user performs one or more jumps. As discussed above, the data can be raw signals or data processed by 5 sensors before being sent to computer 102.
    No-block 3608; the method may include determining whether the data is within the performance zone. For example, computer 102 can process data received from at least one sensor 206 and 304 to determine whether any jump performed by the user has equaled or exceeded the minimum jump height for the performance zone adapted to the 10 attributes of the user. For example, computer 102 may determine that a minimum vertical jump of 30 inches would be necessary for a user to dunk the basketball, based on the user's attributes. Computer 102 can process data received from at least one of sensors 304 and 308 to determine whether any jump performed by the user equaled or exceeded 30 inches. To determine the height of a vertical jump, computer computor 102 can process the data generated by at least an aoelerometer and a force sensor, and compare the jump data to determine that the data is consistent with a jump (for example , that a user sitting in a chair simply did not lift their feet off the ground for a predetermined time). Computer 102 can, in response to the comparison, process the data generated by at least one accelerator and a force sensor to determine the jump time, landing time and suspension time. Computer 182 can calculate a vertical jump based on suspension time.
    On the block. 3610; the method can include generating the determination. For example, computer 102 can generate the determination whether the user is within the performance zone or not. The generation can be at least audible and visual. The computer 102 can provide the generation immediately after the detection of the user who is in the performance zone or generate the determination at a later time (for example, after the workout). The method can then be terminated or return to any of the steps previous ones.
    Various other features and techniques can be used according to the as30 pacts described. Additional and alternative features can also be incorporated into the technique and / or associated applications.
    Conclusion
    Although the invention has been described in relation to specific examples including deprecated ways of carrying out the invention, those skilled in the art will find that there are numerous variations and substitutions of the systems and methods described above. For example, several aspects of the invention can be used in different combinations, and several different subcumbinations of aspects of the invention can be used together
    40/40 in a single system or method, without separating from the invention. For example, the software and applications described here can be materialized as Computer Readable Instructions recorded on computer readable media. In addition, the various elements, components and / or steps described above can be changed, have the order changed, omitted and / or 5 elements added, components and / or steps can be added without separating from this invention. In this way, the Invention would be interpreted comprehensively.
    权利要求:
    Claims (5)
    [1]
    1. A method that includes.
    the processing, performed by a processor, of information that specifies a user attribute;
    5 adjust the performance zone, based on the user's attribute;
    receive data generated by at least an accelerometer and a force sensor; determine if the data is within the performance zone and generate the determination.
    [2]
    2. The method of statement 1, further comprising tracking a total amount of time during which the user is in the performance zone,
    10 3. The method of statement 2, including 'calculating the amount of calories burned by the user based on the total amount of time the user has been in the performance zone; and granting at least one point of activity to the user, based on the total amount of time the user is in the performance zone.
    15 4. The method of statement 1, including each moment that the user must be in the performance zone.
    5. The method of statement 1, where the performance zone is at least one of the following; a minimum height for a vertical jump and a minimum rate of acceleration.
    20 6, The method of statement 1, also comprising the publication of the determination in a virtual social network.
    7, The statement 1 method, including including ·.
    identify one or more predefined action models corresponding to a type of physical activity and
    25 communicate the signature of a sensor system corresponding to the type of physical activity,
    8, An equipment comprising:
    at least one processor and at least one memory recording computer with executable instructions 30 that, when executed by at least one processor, cause the device to at least perform:
    processing of data specifying the attributes of a user;
    adjust the performance zone, based on the user's attribute;
    receipt of data generated by at least one sensor and
    35 determining whether the data is within the performance zone.
    9, The apparatus of statement 8, in which executable computer instructions, when executed by at least one processor, cause the apparatus to track
    2/3 one. total amount of time the user is in the performance zone.
    10. The apparatus of statement 3. in which executable computer instructions, when executed by at least one processor, cause the device to:
    calculate the amount of calories burned by the user based on the total amount of time the user is in the performance zone; and grant at least one point of activity to the user, based on the total amount of time the user is in the performance zone.
    11.0 apparatus of statement 8, in which executable computer instructions, when executed by at least one processor, cause the apparatus to indicate 10 each time the user must be in the performance zone.
    12. The apparatus of statement 8, in which the performance zone is at least one of the following: a minimum height for a vertical jump and a minimum rate of acceleration.
    13. The apparatus of statement 8, in which the executable computer instructions, 15 when executed by at least one processor, cause the apparatus to publish the determination on a virtual social network.
    14. The apparatus in statement 8, in which executable computer instructions, when executed by at least one processor, cause the apparatus to identify one or more models of pre-defined action corresponding to a type of physical activity and
    20 communicate a signature of the sensor system corresponding to the type of crack activity,
    15. A non-temporary medium that can be read by a computer, to store executable computer instructions that, when executed, cause a device to execute at least:
    25 data processing specifying the attributes of a user:
    adjust the performance zone, based on the user's attribute;
    receiving the data generated by at least one sensor and determining whether the data is within the performance zone,
    16. The sock of. computer readable of statement 15, in which the instructions executable by computer, when executed, cause the device to track the total amount of time the user is in the performance zone.
    17. The medium that can be read by a computer, mentioned in statement 16, in which the executable instructions of the computer, when executed, indicate that the device:
    35 calculate the amount of calories burned by the user based on the total amount of time the user is in the performance zone; and grant at least one point of activity to the user, based on the quantity
    [3]
    3/3 total time the user is in the performance zone.
    18. The medium that can be read by a computer, mentioned in statement 15, in which executable computer instructions, when executed, cause the device to indicate each moment when the user must be in the performance zone.
    [4]
    19. The medium that can be read by a computer, mentioned in statement 15, in which the performance zone is at least one of the following:
    a minimum height for a vertical jump and a minimum rate of acceleration.
    20. The medium that can be read by a computer, mentioned in statement 15,
    [5]
    10 in which executable computer instructions, when executed, cause the device to identify one or more models of predefined action corresponding to a type of physical activity and communicate a signature of the sensor system corresponding to the type d® physical activity.
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    法律状态:
    2019-12-17| B15I| Others concerning applications: loss of priority|Free format text: PERDA DA PRIORIDADE US61/443,801 DE 17/02/2011 POR NAO CUMPRIMENTO DE EXIGENCIA RELACIONADA A COMPROVACAO DE DIREITO DE PRIORIDADE. |
    2019-12-24| B11A| Dismissal acc. art.33 of ipl - examination not requested within 36 months of filing|
    2020-03-10| B11Y| Definitive dismissal - extension of time limit for request of examination expired [chapter 11.1.1 patent gazette]|
    2020-07-14| B25B| Requested transfer of rights rejected|Owner name: NIKE INTERNATIONAL LTD. (US) Free format text: INDEFERIDO O PEDIDO DE TRANSFERENCIA CONTIDO NA PETICAO 860140155123 DE 12/09/2014 EMVIRTUDE DO DESPACHO PUBLICADO NA RPI 2566 DE 10/03/2020. |
    2021-10-13| B350| Update of information on the portal [chapter 15.35 patent gazette]|
    优先权:
    申请号 | 申请日 | 专利标题
    US201161443808P| true| 2011-02-17|2011-02-17|
    PCT/US2012/025701|WO2012161768A1|2011-02-17|2012-02-17|Tracking of user performance metrics during a workout session|
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