method and system for automated personal training including training programs

专利摘要:
Method and system for automated personal training that includes training programs Systems and methods for creating custom exercise programs are revealed. An image capture device and a computer device are used to capture images of a user while the user performs sports movements. The images can then be evaluated to create a human motion screen marking. The human motion screen, goal, and time commitment information can then be used to create a custom exercise program tailored to the specific user.
公开号:BR112013012972A2
申请号:R112013012972
申请日:2011-11-23
公开日:2019-12-03
发明作者:Chen Annie；Self Christy；Blahnik Jay；Winsper Paul；Aragones Tesa
申请人:Nike Int Ltd；
IPC主号:

专利说明:

“METHOD AND SYSTEM FOR AUTOMATED PERSONAL TRAINING INCLUDING TRAINING PROGRAMS
REMISSIVE REFERENCE TO RELATED APPLICATIONS [001] This application is a continuation in part of US patent application serial number 13 / 290,359 filed on November 7, 2011 and claims the benefit of e, priority to US provisional patent application nos. 61,410,777 deposited on November 5, 2010, 61 / 417,102 deposited on November 24, 2010, 61 / 422,511 deposited on December 13, 2010, 61 / 432,472 deposited on January 13, 2011 and 61 / 433,792 deposited on 18 January 2011, each of which is entitled “Method and system for automated personal training.” The content of each order is expressly incorporated here as a reference in its entirety for any and all non-limiting purposes.
Background [002] Although most people recognize the importance of physical fitness, many find it difficult to find the motivation necessary to maintain a regular exercise program. Some people find it particularly difficult to maintain an exercise regime that involves continuously repetitive movements, such as running, walking and cycling.
[003] Additionally, individuals can see exercise as work or a task and thus separate it from pleasurable aspects of their daily lives. Often, this separation between sports and other activities reduces the amount of motivation an individual could have to exercise. In addition, sports activity systems and services aimed at encouraging individuals to engage in sports activities could also be overly focused on one or more specific activities while an individual's interests are ignored. This can further decrease a user's interest in participating in sports activities or using the systems and services of
2/45 sports activities.
[004] Therefore, improved systems and methods for addressing these and other disadvantages in the art are desired.
Summary [005] The following provides a simplified summary to provide a basic understanding of some aspects of the disclosure. The summary is not an extensive overview of the revelation. It is not intended to identify key or critical elements of the disclosure or to outline the scope of the disclosure. The following summary merely presents some concepts of the revelation in a simplified form as a prelude to the description below.
[006] Aspects of the invention provide systems and methods for creating personalized exercise programs. A computer device, such as a video game console, can be used with an image capture device, such as a group of cameras to capture images of a user performing sports movements. As used here, a “sports movement” includes movements referring to fitness, exercise, flexibility, including movements that can be part of one or more sports competitions with single and multiple participants, exercise routines and / or combinations thereof. The images can then be evaluated to create a human movement screen markup. Human motion screen marking can be used to create a customized exercise program tailored to the specific user. A human movement screen (HMS) is a classification and grading system that documents movement patterns that may be important for normal function. The functional movement screen (FMS) developed by Gray Cook is an example of a human movement screen.
[007] In some modalities the user can also provide preference data, such as data regarding time commitments, preferred exercises and a
3/45 preferred number of exercise sessions in a predetermined period of time. The computer device can consider these factors when creating a personalized exercise program.
[008] Certain other modalities can capture data of sports movements with accelerometers, gyroscopes or position tracking devices, such as GPS devices.
[009] In other embodiments, the present invention may be partially or fully implemented in a non-transitory tangible computer-readable medium, for example, by storing computer-executable modules or instructions, or by using computer-readable data structures.
[010] Of course, the methods and systems of the modalities referenced above may also include other additional elements, steps, instructions executable on computer or computer-readable data structures.
[011] These and other aspects of the modalities are discussed in greater detail from the beginning to the end of this disclosure, including the attached drawings.
Brief description of the drawings [012] The present disclosure is illustrated by way of example and not limited in the accompanying figures in which similar reference numerals indicate similar elements and in which:
[013] Figures 1A-1B illustrate an example of a system for providing personal training according to example modalities, where figure 1A illustrates an example network configured to monitor sports activity, and figure 1B illustrates a computing device. example according to example modalities.
[014] Figures 2A-B illustrate example sensor assemblies that can be used by a user according to example modalities.
[015] Figure 3 illustrates example points on a user's body to monitor
4/45 according to example modalities.
[016] Figure 4 illustrates an example posture assessment according to example modalities.
[017] Figure 5 illustrates an exemplary method that can be used to generate personalized training programs according to a modality of the invention.
[018] Figure 6 shows exemplary instructions that can be provided to a user to perform the sports movement.
[019] Figure 7 illustrates exemplary phases of a personalized exercise program according to an embodiment of the invention.
[020] Figure 8 illustrates another example flowchart for a user's initial interaction to determine a user's baseline fitness level.
[021] Figure 9 illustrates an example flowchart that creates a personalized exercise program.
[022] Figure 10 illustrates an example graphical user interface with options for selecting a trainer, starting a new program or doing an unscheduled exercise session.
[023] Figure 11 illustrates an example graphical user interface inducing a user to enter exercise selections desired by the user.
[024] Figure 12 illustrates an example graphical user interface that includes a scroll bar that allows a user to select a desired number of times to exercise each week.
[025] Figure 13 illustrates an example graphical user interface that allows a user to enter reminders so that a text or email message can be sent to a device (for example, mobile phone) to remind the user about an upcoming exercise session.
[026] Figure 14 illustrates an initial baseline fitness level of
5/45 example based on human movement screen time and marking.
[027] Figure 15 illustrates example training to assess user performance in relation to performance pillars and body movement categories.
[028] Figure 16 illustrates an example relationship between categories of body movement and exercises on the human movement screen.
[029] Figure 17 provides an example of different times when the same training can be performed.
[030] Figure 18 illustrates an example exercise structure.
[031] Figure 19 illustrates an example flow chart to define objectives and encourage a user's commitment.
[032] Figures 20-34 illustrate an example six-month exercise plan that may include a baseline exercise and six-month programs.
[033] Figure 35 illustrates an example 4-week routine to assist a user in achieving a goal.
[034] Figure 36 illustrates an example that takes a user through an exercise session.
[035] Figure 37 illustrates an example graphical user interface that induces a user to start an exercise session, and asks how long the user has to exercise.
[036] Figure 38 illustrates an example graphical user interface that takes a user through a warm-up session.
[037] Figure 39 illustrates a graphical user interface that provides a demonstration of a first exercise workout.
[038] Figure 40 illustrates an example graphical user interface that displays an image of the user performing a workout.
[039] Figure 41 illustrates an example graphical user interface that compares
6/45 the shape of a user versus the desired shape.
[040] Figure 42 illustrates an example graphical user interface that includes an image of a user exercising with straight lines added to show proper posture of the back and hips during an extreme squat.
[041] Figures 43A-B illustrate sample graphical user interfaces that provide a user with feedback on their shape and remove corrective feedback when the user's shape improves.
[042] Figure 44 illustrates an example graphical user interface that informs a user of a next training category during the exercise session.
[043] Figure 45 illustrates sample data points used by a computer to determine feedback and motivation to provide a user during an exercise session.
[044] Figures 46-49 illustrate examples of examining an exercise session based on the amount of time a user can commit to an exercise.
[045] Figure 50 illustrates an example flow chart to provide a user with post-exercise information.
[046] Figure 51 illustrates an example graphical user interface that informs a user that an exercise session is complete.
[047] Figures 52-53 illustrate example graphical user interfaces informing a user of their exercise performance and the amount of points they received during exercise.
[048] Figure 54 illustrates an example graphical user interface that induces a user to continue exercising.
[049] Figure 55 illustrates an example flowchart of an unscheduled exercise session.
7/45 [050] Figure 56 illustrates an example graphical user interface that allows a user to select an unscheduled workout.
[051] Figure 57 illustrates an example graphical user interface that induces a user to enter how much time they have to exercise during an unscheduled session.
[052] Figure 58 illustrates an example graphical user interface that induces a user to enter what type of session he wants to do during an unscheduled session.
[053] Figure 59 illustrates an example graphical user interface of a captured image of a user exercising during an unscheduled session.
[054] Figure 60 illustrates exemplary challenge training.
Detailed description [055] In the following description of the various modalities, reference is made to the attached drawings, which form part of the present invention, and in which several modalities in which the disclosure can be carried out are shown by way of illustration. It should be understood that other modalities can be used and structural and functional modifications can be made without departing from the scope and spirit of the present disclosure. In addition, headings in this disclosure should not be considered as limiting aspects of the disclosure. Those skilled in the art with the benefit of this disclosure will recognize that the example modalities are not limited to example headers.
Sample personal training system
Illustrative computing devices [056] Figure 1A illustrates an example of a personal training system 100 according to example modalities. Sample system 100 may include one or more electronic devices, such as computer 102. Computer 102 may comprise a mobile terminal, such as a telephone, music player, tablet,
8/45 netbook or any portable device. In other embodiments, computer 102 may comprise a frequency signal converter (STB), desktop computer, digital video recorder (s) (DVR), computer server (s), and / or any other desired computing device. . In certain configurations, computer 102 may comprise a game console, such as a Microsoft® XBOX, Sony® Playstation, and / or a Nintendo® Wii game console. Those skilled in the art will recognize that these are merely sample consoles for descriptive purposes and this disclosure is not limited to any console or device.
[057] Returning briefly to figure 1B, computer 102 may include computing unit 104, which may comprise at least one processing unit 106. Processing unit 106 may be any type of processing device for executing software instructions. , such as a microprocessor device. Computer 102 may include a variety of non-transitory computer-readable media, such as memory 108. Memory 108 may include, but is not limited to, random access memory (RAM) such as RAM 110, and / or read-only memory ( ROM), such as ROM 112. Memory 108 can include any of: electronically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, CDE-ROM, digital versatile disks (DVD) or other optical disc storage , magnetic storage devices, or any other means that can be used to store the desired information and that can be accessed by the computer 102.
[058] The processing unit 106 and the system memory 108 can be connected, directly or indirectly, via a bus 114 or alternative communication structure to one or more peripheral devices. For example, processing unit 106 or system memory 108 can be directly or indirectly connected to additional memory storage, such as a storage unit.
9/45 hard disk 116, a removable magnetic disk drive, an optical disk drive 118, and a flash memory card, as well as input devices 120, and output devices 122. Processing unit 106 and memory system 108 can also be directly or indirectly connected to one or more input devices 120 and one or more output devices 122. Output devices 122 can include, for example, a display device 136, television, printer, stereo or loudspeakers. In some embodiments, one or more display devices may be incorporated into the eye article. The display devices incorporated in the eye article can provide feedback to users. Eye article incorporating one or more display devices also provides a portable display system. Input devices 120 may include, for example, a keyboard, touchscreen, a remote control pad, a pointing device (such as a mouse, touchpad, pointed instrument, TrackBall or stick), a scanner, a camera or a microphone. In this regard, input devices 120 may comprise one or more sensors configured to sense, detect and / or measure a user's sports movement, such as user 124, shown in Figure 1A.
[059] Looking again at figure 1A, the image capture device 126 and / or sensor 128 can be used to detect and / or measure sports movements of the user 124. In one embodiment, data obtained from the image capture device 126 or sensor 128 can directly detect sports movements, such that the data obtained from the image capture device 126 or sensor 128 are directly correlated to a movement parameter. For example, and with reference to figure 4, image data from the image capture device 126 can detect that the distance between sensor locations 402g and 402i has decreased and therefore the image capture device 126 can be individually configured to detect that user 124's right arm has moved. Still,
10/45 in other modalities, data from the image capture device 126 and / or sensor 128 can be used in combination, with each other or with other sensors to detect and / or measure movements. In this way, certain measurements can be determined by combining data obtained from two or more devices. The image capture device 126 and / or sensor 128 may include or be operatively connected to one or more sensors, including, but not limited to: an accelerometer, a gyroscope, a location determining device (eg, GPS), sensor light sensor, temperature sensor (including room temperature and / or body temperature), heart rate monitor, image capture sensor, humidity sensor and / or combinations thereof. Example uses of illustrative sensors 126, 128 are provided below in section I.C, entitled “Illustrative sensors”. Computer 102 may also use touch screens or an image capture device to determine where a user is pointing to make selections from a graphical user interface. One or more modalities can use one or more wired and / or wireless technologies, individually or in combination, in which examples of wireless technologies include Bluetooth® technologies, Bluetooth® low energy technologies and / or ANT technologies.
Illustrative network [060] In addition, computer 102, computing unit 104 and / or any other electronic devices can be directly or indirectly connected to one or more network interfaces, such as example interface 130 (shown in figure 1B) for communicate with a network, such as network 132. In the example in Figure 1B, network interface 130 can comprise a network adapter or network interface card (NIC) configured to translate data and control signals from the computing unit 104 in network messages according to one or more communication protocols, such as the Transmission Control Protocol (TCP), the Internet Protocol (IP) and the User Datagram Protocol (UDP).
11/45
Such protocols are well known in the art, and therefore will not be discussed here in more detail. An interface 130 can employ any appropriate 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 any one or more information distribution network (s), of any type (s) or topography (s), individually or in combination (s), such as Internet (s), intranet (s), cloud (s), LAN (s). Network 132 can be any one or more of cable, fiber, satellite, telephone, cellular, wireless, etc. networks are well known in the art, and thus will not be discussed here in more detail. Network 132 can be configured in a variety of ways as having one or more wired or wireless communication channels to connect one or more locations (for example, schools, firms, homes, consumer homes, network resources, etc.), to one or more remote servers 134, or to other computers, as similar or identical to computer 102. Actually, system 100 may include more than one instance of each component (for example, more than one computer 102, more than one display 136, etc.).
[061] Regardless of whether computer 102 or another electronic device on network 132 is portable or at a fixed location, it must be recognized that in addition to the input, output and peripheral storage devices specifically listed above, the computing device can be connected, as directly, or via network 132 to a variety of other peripheral devices, including some that can perform input, output and storage functions or some combination thereof. In certain embodiments, a single device can integrate one or more components shown in figure 1A. For example, a single device can include computer 102, image capture device 126, sensor 128, display 136 and / or additional components. In one embodiment, the sensor device 138 may comprise a mobile terminal having a display 136, a capture device
12/45 image 126, and one or more sensors 128. In yet another embodiment, the image capture device 126, and / or sensor 128 can be peripherals configured to be operatively connected to a media device, including, for example, example, a media or games system. Thus, it is seen above that this disclosure is not limited to stationary systems and methods. Instead, certain modalities can be performed by a user 124 almost anywhere.
Illustrative sensors [062] Computer 102 and / or other devices may comprise one or more sensors 126, 128 configured to detect and / or monitor at least one user fitness parameter 124. Sensors 126 and / or 128 may include, however, they are not limited to: an accelerometer, a gyroscope, a device for determining location (eg, GPS), light sensor, temperature sensor (including room temperature and / or body temperature), sleep pattern sensors, monitor heart rate, image capture sensor, humidity sensor and / or combinations thereof. Network 132 and / or computer 102 may be in communication with one or more electronic devices of system 100, including, for example, display 136, an image capture device 126 (for example, one or more video cameras), and sensor 128, which can be an infrared (IR) device. In one embodiment, sensor 128 may comprise an IR transceiver. For example, sensors 126 and / or 128 can transmit waveforms in the environment, including towards the user 126 and receive a “reflection” or otherwise detect changes in those released waveforms. In yet another embodiment, the image capture device 126 and / or sensor 128 can be configured to transmit and / or receive other wireless signals, such as radar, sonar and / or audible information. Those skilled in the art will readily recognize that signals corresponding to a plurality of different data spectra can be used according to various modalities. In this regard, sensors 126 and / or 128 po
13/45 dem detect waveforms emitted from external sources (for example, not system 100). For example, sensors 126 and / or 128 can detect heat being emitted from user 124 and / or the surrounding environment. Accordingly, the image capture device 126 and / or sensor 128 may comprise one or more thermal imaging devices. In one embodiment, the image capture device 126 and / or sensor 128 may comprise an IR device configured to perform range phenomenology. As a non-limited example, image capture devices configured to perform range phenomenology are commercially available from Flir Systems, Inc. of Portland, Oregon. Although the image capture device 126 and sensor 128 and display 136 are shown in direct communication (wireless or wired) with computer 102, those skilled in the art will recognize that anyone can communicate directly (wireless or wired) with the network 132 .
Multipurpose electronic devices [063] User 124 may own, carry and / or use any number of electronic devices, including sensory devices 138, 140, 142 and / or 144. In certain embodiments, one or more devices 138, 140, 142 , 144 may not be specially manufactured for fitness or sporting purposes. Indeed, aspects of this disclosure refer to the use of data from a plurality of devices, some of which are not fitness devices, to collect, detect and / or measure sports data. In one embodiment, device 138 may comprise a portable electronic device, such as a telephone or digital music player, including an IPOD®, IPAD® or iPhone®, branded devices available from Apple, Inc., Cupertino, California or devices Zune® or Microsoft® Windows available from Microsoft in Redmond, Washington. As known in the art, digital media players can serve as both an output device for a computer (for example, streaming music from a sound file or images from an image file)
14/45 and a storage device. In one embodiment, device 138 may be computer 102, in still other embodiments, computer 102 may be entirely distinct from device 138. Regardless of whether device 138 is configured to provide a certain output, it may serve as an input device for receiving 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 determining device (eg, GPS), light sensor, temperature sensor (including room temperature and / or body temperature), heart rate monitor, image capture sensor, humidity sensor and / or combinations thereof. In certain embodiments, sensors can be passive, such as reflective materials that can be detected by image capture device 126 and / or sensor 128 (among others). In certain embodiments, sensors 144 can be integrated into the clothing, such as sports clothing. For example, user 124 may use one or more sensors in body 144a-b. sensors 144 can be incorporated into the user's garment 124 and / or placed anywhere on the user's body 124. sensors 144 can communicate (for example, wirelessly) with the computer 102, sensors 128, 138, 140 and 142 and / or camera 126. Examples of interactive gaming apparel are described in US patent application no. 10 / 286,396, filed on October 30, 2002, and published as a pub. US patent no. 2004/0087366, whose contents are incorporated here as a reference in full for any and all non-limiting purposes. In certain embodiments, passive perception surfaces may reflect waveforms, such as infrared light, emitted by an image capture device 126 and / or sensor 128. In one embodiment, passive sensors located in the user's clothing 124 may comprise generally spherical structures made glass or other transparent or translucent surfaces that may reflect waveforms. Different classes of clothing can be used in which a given class of clothing
15/45 clothing has specific sensors configured to be located close to a specific portion of the user's body 124 when properly worn. For example, golf apparel may include one or more sensors positioned on the apparel in a first configuration and football apparel may include one or more sensors positioned on the apparel in a second configuration.
[064] Devices 138-144 can communicate with each other, directly or over a network, such as network 132. Communication between one or more of the 138144 devices can communicate through computer 102. For example, two or more of the 138- 144 can be peripherals operatively connected to bus 114 of computer 102. In yet another embodiment, a first device, such as device 138 can communicate with a first computer, such as computer 102 as well as another device, such as device 142, meanwhile, device 142 it may not be configured to connect to computer 102, but it may communicate with device 138. Those skilled in the art will recognize that other configurations are possible.
[065] Some implementations of the example modalities may alternatively or additionally employ computing devices that are intended to be capable of a wide variety of functions, such as a personal desktop computer or laptop. These computing devices can have any combination of peripheral devices or additional components as desired. In addition, the components shown in figure 1B can be included on server 134, other computers, devices, etc.
Illustrative accessory / clothing sensors [066] In certain embodiments, sensory devices 138, 140, 142 and / or 144 may be formed in or otherwise associated with user 124 accessories or garments, including a watch, arm band , wrist band, cord, shirt, shoe or similar. Examples of shoe-mounted devices and used in
16/45 pulse (devices 140 and 142, respectively) are described immediately below, however, these are merely exemplary modalities and this disclosure should not be limited to such.
Shoe-mounted device [067] In certain embodiments, the sensory device 140 may comprise shoes that may include one or more sensors, including, but not limited to: an accelerometer, sensing components such as CPS and / or a sensor system. force. Figure 2A illustrates an exemplary embodiment of an example sensor system 202. In certain embodiments, system 202 may include a set of sensors 204. Set 204 may comprise one or more sensors, such as an accelerometer, components of determine location, and / or force sensors. In the illustrated embodiment, the set 204 incorporates a plurality of sensors, which may include force sensitive resistive sensors (FSR) 206. In yet other embodiments, another sensor (s) can be used. Door 208 can be positioned on a shoe sole structure 209. Port 208 can optionally be provided to be in communication with an electronic module 210 (which can be in a housing 211) and a plurality of wires 212 connecting the FSR 206 sensors to port 208. Module 210 can be contained in a cavity in a shoe sole structure. Port 208 and module 210 include complementary interfaces 214, 216 for connection and communication.
[068] In certain embodiments, at least one force sensitive resistor 206 shown in figure 2A may contain first and second electrodes or electrical contacts 218, 220 and a force sensitive resistive material 222 and / or 224 disposed between electrodes 218, 220 to electrically connect electrodes 218, 220 together. When pressure is applied to the material sensitive to force 222/224, the resistivity and / or conductivity of the material sensitive to force 222/224 changes, which changes the electrical potential between electrodes 218, 220. The change in resistance can be detected by
17/45 sensor system 202 to detect the force applied to the 216 sensor. The 222/224 force sensitive resistive material can change its resistance under pressure in a variety of ways. For example, the force-sensitive material 222/224 may have an internal resistance that decreases when the material is compressed, similar to the quantum tunneling composites described in more detail below. The additional compression of this material can further decrease the resistance, allowing quantitative measurements, as well as binary measurements (on / off). In some circumstances, this type of force-sensitive resistive behavior can be described as "volume-based resistance," and materials that exhibit this behavior can be referred to as "intelligent materials." As another example, material 222/224 can change resistance by changing the degree of surface to surface contact. This can be achieved in several ways, such as using microprojections on the surface that raise the surface resistance in an uncompressed condition, where the surface resistance decreases when the microprojections are compressed, or using a flexible electrode that can be deformed to create increased surface-to-surface contact with another electrode. This surface resistance can be resistance between material 222 and electrode 218, 220 and / or the surface resistance between a conduction layer (for example, carbon / graphite) and a force sensitive layer (for example, a semiconductor) of a 222/224 multilayer material. The greater the compression, the greater the surface-to-surface contact, resulting in lower strength and allowing quantitative measurement. In some circumstances, this type of force-sensitive resistive behavior can be described as "contact-based resistance". It is understood that the force sensitive resistive material 222/224, as defined herein, can be or include a doped or non-doped semiconductor material.
[069] The electrodes 218, 220 of the FSR 206 sensor can be formed of any conductive material, including metals, graphite / carbon fibers or composites, others
18/45 conductive composites, conductive polymers or polymers containing a conductive material, conductive ceramics, doped semiconductors, or any other conductive material. Wires 212 can be connected to electrodes 218, 220 by any appropriate method, including welding, brazing, brass welding, adhesive joining, fasteners, or any other integral or non-integral joining method. Alternatively, electrode 218, 220 and associated wire (s) 212 can be formed of a single piece of the same material 222 / 224. In additional embodiments, material 222 is configured to have at least one electrical property (for example , conductivity, resistance, etc.) than material 224. Examples of exemplary sensors are disclosed in US patent application no. 12 / 483,824, filed on June 12, 2009, the content of which is incorporated here in full for any and all non-limiting purposes.
Wrist worn device [070] As shown in figure 2B, device 226 (which may be, or be a duplicate of, or resemble the sensory device 142 shown in figure 1 A) can be configured for use by user 124, as in around a wrist, arm, ankle or similar. Device 226 can monitor a user's movements, including, for example, sports movements or other user activity 124. For example, in one embodiment, device 226 can be an activity monitor that measures, monitors, tracks or otherwise feels user activity (or inactivity) regardless of user proximity or interactions with computer 102. Device 226 can detect sports movement or other activity (or inactivity) during user interactions 124 with computer 102 and / or operate independently of the computer 102. Device 226 can communicate directly or indirectly, wired or wirelessly, with network 132 and / or other devices, such as devices 138 and / or 140. Sports data obtained from device 226 can be used in determinations performed by computer 102, as determinations
19/45 regarding which exercise programs are presented to the user 124. As used here, sports data means data referring to or related to a user's activity (or inactivity). In one embodiment, device 226 can interact wirelessly with a remote website such as a website dedicated to fitness or a health-related matter, directly or indirectly (for example, via a mobile device, such as device 138 associated with user 124). In this or another embodiment, device 226 may interact with a mobile device, such as device 138, with respect to an application dedicated to fitness or health-related matter. In these or other modalities, device 226 can interact with both a mobile device and an application as above, such as device 138, and a remote website, such as a website dedicated to fitness or a health-related matter, directly or indirectly (for example, example, via the mobile device, such as device 138). In some embodiments, at a predetermined time (s), the user may wish to transfer data from device 226 to another location. For example, a user may wish to upload data from a handheld device with relatively less memory to a larger device with a larger amount of memory. Communication between the 226 device and other devices can be done wirelessly and / or through wired mechanisms.
[071] As shown in figure 2B, device 226 may include an input mechanism, such as a button 228, to assist in the operation of device 226. Button 228 may be a calcable input operably connected to a controller 230 and / or any other electronic components, such as one or more elements of the type (s) discussed in relation to the computer 102 shown in figure 1B. Controller 230 may be incorporated or otherwise part of housing 232. Housing 232 may be formed of one or more materials, including elastomeric components and comprises one or more displays, such as display 234. The display may be considered an illuminable portion of the device 226. Display 234 can include
20/45 a series of individual lighting elements or light elements such as LED lights 234 in an exemplary mode. The LED lights can be formed together and operably connected to controller 230. Device 226 can include an indicator system 236, which can also be considered a portion or component of the general display 234. It is understood that indicator system 236 can operate and illuminate in combination with display 234 (which may have pixel element 235) or completely separate from display 234. Indicator system 236 may also include a plurality of additional lighting elements or light elements 238, which may take the form of lights LED in an exemplary mode. In certain embodiments, the indicator system 236 can provide a visual indication of objectives, such as lighting a portion of lighting elements 238 to represent achievement towards one or more objectives.
[072] A clamping mechanism 240 can be unlocked in which device 226 can be positioned around a wrist of the user 124 and clamping mechanism 240 can subsequently be placed in a locked position. The user can use the 226 device at all times if desired. In one embodiment, the securing mechanism 240 may comprise an interface, including, but not limited to, a USB port, for operative interaction with the computer 102 and / or devices 138, 140, and / or recharging an internal power source.
[073] In certain embodiments, device 226 may comprise a sensor assembly (not shown in figure 2B). The sensor assembly may comprise a plurality of different sensors. In an example embodiment, the sensor array may comprise or allow operative connection to an accelerometer (including in the form of a multi-axis accelerometer), a gyroscope, a location-determining device (eg, GPS), light sensor, temperature sensor (including room temperature and / or body temperature), heart rate monitor, image capture sensor, humidity sensor and / or combinations of
21/45 same. Detected movements or vestments of the sensor (s) of the device 142 may include (or be used to form) a variety of different parameters, metrics or physiological characteristics including, but not limited to speed, distance, steps taken, and expenditure of energy like calories, heart rate and sweat detection. Such parameters can also be expressed in terms of activity points or acceptance obtained by the user based on the user's activity. Examples of sensors used on the wrist that can be used according to various modalities are disclosed in US patent application no. 13 / 287,064, filed on November 1, 2011, the contents of which are incorporated herein in its entirety for any and all non - limiting purposes.
Identifying sensory locations [074] System 100 can process sensory data to identify user movement data. In one embodiment, sensory sites can be identified. For example, recorded video images, such as from the image capture device 126, can be used in a user movement ID. For example, the user can stand a certain distance, which may or may not be predefined, from the image capture device 126, and computer 102 can process the images to identify user 124 in the video, for example, using techniques disparity mapping. In one example, the image capture device 126 may be a stereo camera having two or more lenses that are spatially displaced from one another and that simultaneously capture two or more images of the user. Computer 102 can process the two or more images taken at the same time to generate a disparity map to determine a location for certain parts of the user's body in each image (or at least some of the images) in the video using a coordinate system (for example, Cartesian coordinates). The disparity map can indicate a difference between an image taken by each of the displaced lenses.
22/45 [075] In a second example, one or more sensors can be located on or near the user's body 124 in various locations or wear a suit having sensors located in various locations. Still, in other modalities, sensor locations can be determined from other sensory devices, such as devices 138, 140, 142 and / or 144. With reference to figure 3, sensors can be placed (or associated with, as with the capture device 126) regions of body movement, such as joints (for example, ankles, elbows, shoulders, etc.) or other places of interest on the user's body 124. Example sensory locations are indicated in Figure 3 by locations 302a 302o. In this regard, sensors can be physical sensors located on / in a user's garment, yet in other modalities, sensor locations 302a-302o can be based on identifying relationships between two moving parts of the body. For example, sensor location 302a can be determined by identifying user movements 124 with an image capture device, such as image capture device 126. Thus, in certain embodiments, a sensor may not be physically located at a location specific (such as sensor locations 302a-302o), but is configured to sense properties of that location, as with the image capture device 126. In this regard, the general shape or portion of a user's body may allow identification of certain parts of the body. Regardless of whether an image capture device, such as camera 126, is used and / or a physical sensor located on user 124, as sensors on or separate from one or more of the device (s) 138, 140, 142, 144 are used, sensors can sense a current location of a body part and / or track movement of the body part. In one embodiment, the 302m location can be used to determine the user's center of gravity (also known as the center of mass). For example, the relationships between location 302a and location (s) 302f / 302I with respect to one or more location (s) 302m302o can be used to determine whether a user's center of gravity
23/45 has been raised along the vertical geometric axis (such as during a jump) or if a user is trying to “fake” a jump by bending and flexing their knees. In one embodiment, the 302n sensor site can be located approximately on the user's sternum 124. Similarly, the 302o sensor site can be located close to the user's navel 124. In certain embodiments, data from the 302m-302o sensor sites can be used (individually or in combination with other data) to determine the center of gravity for the user 124. In additional modalities, the relationships between multiple multiple sensor locations, such as 302m-302o sensors, can be used in determining the orientation of the user 124 and / or rotational forces, such as twisting the user's back 124. In addition, one or more locations, such as location (s), can be used as a location center at the moment. For example, in one embodiment, one or more of the 302m-302o site (s) can serve as a point for a user-time location center 124. In another mode, one or more locations can serve as a center of specific regions or parts of the body.
[076] In certain modalities, a time stamp for the data collected indicating a specific time when a part of the body was in a certain location. Sensor data can be received on computer 102 (or another device) via wireless or wired transmission. A computer, such as computer 102 and / or devices 138, 140, 142, 144 can process time stamps to determine the locations of body parts using a coordinate system (for example, Cartesian coordinates) in each (or at least some ) of the images in the video. Data received from image capture device 126 can be corrected, modified and / or combined with data received from one or more other devices 138, 140, 142 and 144.
[077] In a third example, computer 102 can use infrared pattern recognition to detect user movement and locations of parts of the
24/45 user body 124. For example, sensor 128 can include an infrared transceiver, which can be part of image capture device 126, or another device, which can emit an infrared signal to illuminate user body 124 using infrared signals. Infrared transceiver 128 can capture a reflection of the infrared signal from the user's body 124. Based on the reflection, computer 102 can identify a location of certain parts of the user's body using a coordinate system (for example, Cartesian coordinates) in specific instances in time. What and how body parts are identified can be predetermined based on the type of exercise a user is asked to perform.
[078] As part of an exercise routine, computer 102 can make an initial postural assessment of user 124 as part of the initial user assessment. Referring to Figure 4, computer 102 can analyze front and side images of a user 124 to determine a location of one or more of a user's shoulders, upper back, lower back, hips, knees and ankles. Body sensors and / or infrared techniques can also be used, individually or in combination with an image capture device 126, to determine the locations of various parts of the body for postural assessment. For example, computer 102 can determine evaluation lines 124a-g to determine the locations of various points on a user's body, such as, for example, ankles, knees, hips, upper back, lower back and shoulders.
Identifying sensory regions [079] In additional modalities, system 100 can identify sensor regions. In one embodiment, evaluation lines 144a-g can be used to divide the user's body into regions. For example, lines 144b-f can be horizontal geometric axes. For example, a 402 “shoulder” region can correlate
25/45 with a body portion having a lower boundary around the user's shoulders (see line 144b), region 404 can correlate with the body portion between the shoulders (line 144b) and approximately half the distance to the hips (see line 144c) and thus be an “upper back” region, and region 406 can cover the area between line 144c to the hips (see line 144d) to understand a “lower back” . Similarly, region 408 can cover the area between the "hips" (line 144d) and the "knees" (see line 144e), region 410 can cover between lines 144e and 144f and region 412 (see "ankles" ”) May have an upper limit around line 144f. The 402-412 regions can be further divided, as in quadrants, as by using geometric axes 144a and 144g.
Categorize locations or regions [080] Regardless of whether specific points (for example, locations shown in figure 3) and / or regions (for example, regions shown in figure 4), parts of the body or regions that are not close together may not despite being categorized in the same movement category (see, for example, block 302c). For example, as shown in figure 4, the “upper back”, “hips” and “ankles” regions 404, 408, 412 can be categorized as belonging to a “mobility” category. In another modality, the “lower back” and “knee” regions 406, 410 can be categorized as belonging to a “stability” category. Categorizations are merely examples, and in other ways, a place or region can belong to multiple categories. For example, a "center of gravity" region can be formed from regions 404 and 406. In one embodiment, a "center of gravity" can comprise portions of regions 404 and 406. In another embodiment, a category of "center of momentum" ”Can be provided, independently, or alternatively, as comprising a portion of at least another category. In one mode, a single location can be weighed
26/45 in two or more categories, as being 10% of weight in a category of "stability" and 90% of weight in a category of "mobility".
[081] Computer 102 can also process the image to determine a user's garment color or other distinguishing features to differentiate the user from his or her surrounding environment. After processing, computer 102 can identify a location of multiple points on the user's body and track locations of those points, such as locations 302 in figure 3. Computer 102 can also induce the user to answer questions to supplement postural assessment, such as example, age, weight, etc.
II. Creation of personal training programs
Overview [082] Figure 5 illustrates an exemplary method that can be used to generate personalized training programs according to a modality of the invention. First, in step 502, instructions for performing sports movements are provided. Instructions can be generated on a video game console and displayed on a display device, such as a television. Exemplary instructions for performing sports movements are described in detail below. Sports movements can be used to generate a human movement screen mark. The movements can individually map to a specific body movement. In one modality, sports movements include extreme squatting, barrier stage, in - line dinghy, shoulder mobility, active leg elevation, flexion and swivel stability. Figure 6 shows exemplary instructions that can be provided to a user to perform sports movements.
[083] Next, an image capture device can be used to capture images of an athlete performing sports movements in step 504. The image capture device can include multiple cameras. In a modalida
27/45 the image capture device includes three cameras and is used to capture motion in three dimensions. Various modalities may include cameras that capture light in the visible and / or infrared spectra.
[084] In step 506 it is determined whether data from one or more other sensors are available. Other sensors may include an accelerometer worn on the wrist or embedded in or attached to the shoe, a gyroscope, a heart rate monitor, a compass, a location tracking device, such as a GPS device, pressure sensors inserted into the shoe or any of the sensors described above that can be used to capture sports movements and / or sports performance. The data received from the image capture device and one or more sensors can be used to generate a human movement screen tag. When only data from the image capture device is available, in step 508 a human motion screen tag is generated with data from the image capture device. When additional sensor data is available, in step 510 a human motion screen tag is generated with data from the image capture device and data from one or more additional sensors. In alternative modes, a human movement screen tag can be generated with only data from the image capture device even when other sensor data is available. For example, sensor data may be available, but determined not to be reliable or below a threshold. In some embodiments, the system can also selectively use data from any of the available sensors.
[085] After a human movement screen tag is generated, in step 512 a personalized exercise program is generated based on a human movement screen tag. The personalized exercise program can be generated through a device, such as a video game console, server, or computer 102, which includes one or more processors. Hand screen marking
28/45 human development can reveal areas that can be improved and the personalized exercise program can address those areas. Figure 7 illustrates exemplary personalized exercise program phases according to an embodiment of the invention. Column 702 lists exercises that can be used to generate human movement screen markings for various body movements. Columns 704 and 706 show exemplary criteria that can be used to mark each exercise. Two levels are shown for illustrative purposes only. Various modalities can use three, four or more levels of marking. In one embodiment, four levels of marking are used and the levels include (1) pain felt during exercise; (2) exercise was not functionally performed; (3) exercise performed acceptably; and (4) exercise well done. Columns 708a-7608c show exemplary exercises that can be part of a personalized training program. A personalized exercise program can include exercises that start at different stages based on the relevant human movement screen markup. For example, core stability can start in phase 1 and torsion can start in phase 2.
[086] In alternative modalities a user can also provide preference data that is used to generate the personalized exercise program. Preference data can include time commitments, numbers of exercise sessions, preferred days to exercise, preferred exercises and goals. In one mode, a user can provide access to an electronic calendar, such as one stored on a website, which shows the user's availability to exercise and the personal training system explores the calendar to determine availability and time commitments. The personal training system can look at historical calendar data to determine best likely times and available time commitments or future calendar data to determine effective availability. The personal training system can also be configured
29/45 to update the exercise program based on the user's actual availability. For example, a user may have an exercise session scheduled for Monday night, and a scan of the user's calendar reveals that the user has an appointment on Monday night that makes the exercise unworkable. The personal training system can modify the exercise program to reschedule the exercise for another day. Other changes to the exercise program can also be made to keep the user on track to achieve goals. The personal training system can even add calendar events to the user's calendar.
[087] Users can exercise in locations away from the personal training system. Exercise data can be captured by a variety of sensors, such as accelerometers worn on the wrist or other parts of the body. Accelerometers can also be incorporated into or attached to footwear or clothing. Other sensors that can be used to capture exercise data away from the personal training system include gyroscopes, location tracking devices, such as a GPS device, heart rate monitors, pressure sensor systems placed on shoes and any of the sensors described above. The captured exercise data can be provided to the personal training system via a network connection or hardware port, such as a USB port. Going back to figure 5, in step 514 it is determined whether the exercise data was captured by a sensor while the user was exercising away from the personnel training system. Step 514 may include determining which GPS data that was captured with a mobile phone while a user was running is available. If no sensor data is available, the process ends at step 516. A person skilled in the art will recognize that the method shown in figure 5 is purely exemplary and can be modified to include other steps and several loops. For example, instead of ending in step 516, the process can expect
30/45 rar for a predetermined time and repeat step 514.
[088] When sensor data is received, in step 518, the personal training system can modify the customized exercise program based on the exercise data captured by the sensor. Modifications may include one or more changes in the types of exercises or exercise durations. For example, if the sensor data indicates that the user has recently run, the next session of the personalized exercise program can be modified to not exercise the primary muscle groups involved in running. Other exemplary modifications include reducing the duration or eliminating an exercise session.
Illustrative modalities [089] When a user starts an exercise program, computer 102 can induce the user to perform a series of exercises in front of an image capture device. Computer 102 can process the images and assign a tick indicating how well the user was able to complete each exercise to establish a baseline fitness level. When performing an exercise, computer 102 can instruct the user to position themselves at a certain distance and orientation in relation to an image capture device. Computer 102 can process each image to identify different parts of the user's body, such as his head, shoulders, arms, elbows, hands, wrists, back, hips, knees, ankles, feet or other parts of the body. Computer 102 can generate a data set identifying a location of various parts of the body in the image. Computer 102 can process the data set to determine a relationship between certain parts of the body. These relationships can include an angle of one part of the body to the other. For example, when the user is doing a squat, computer 102 can compare the angle of a user's back with an angle of the user's thigh. In another example, computer 102 can compare a location on a user’s shoulder versus their elbow and hand during
31/45 and a flexion.
[090] Computer 102 can compare the data set with a desired data set for each exercise to monitor the user's shape while performing an exercise. The desired data set can include multiple points of comparison in every exercise. For example, a flexion can be divided into four events: (1) the lowest point where the user's chest is closest to the ground and their arms are flexed; (2) a higher point where the user's chest is farther from the ground and his arms are straight; (3) an ascending event where the user transitions from the lowest point to the highest point; and (4) a downward event where the user transitions from the highest to the lowest point. The desired data set can specify points of comparison for each of these events by focusing on certain parts of the body. For example, at each point of comparison during flexion, computer 102 can monitor the user's hand spacing, the user's straight back, location of the user's head in relation to its back, the user's foot spacing in relation to itself, or other aspects. The desired data set can specify desired locations for each part of the body being monitored, during comparison points in an exercise, as well as variations allowed from the desired locations. If the user's body part varies beyond what is allowed, computer 102 can provide the user with feedback identifying the body part and a correction of the user's shape (for example, back is arched, not straight, during flexion) .
[091] Computer 102 can also mark the performance of an exercise by the user. The markup can be based on the user's form, how quickly the user was able to complete the exercise (for example, 20 push-ups in 60 seconds), a number of repetitions that the user completed the amount of weight the user used during an exercise , or another exercise metric. Beyond the proces
32/45 itchy images, computer 102 can receive data from other sources. For example, the user can run a predetermined distance as measured by a sensor attached to the user (for example, sensor on a shoe) or global positioning system (GPS) device and can upload the data to computer 102. Based on the images and / or data acquired by other sensors, computer 102 can determine areas of weakness for the user (for example, inability to stretch), and design an exercise to help the user improve his overall fitness level. Marking can be a function of a specific workout and can focus on position, accuracy and correct execution. The schedule can also be based on time and / or a defined number or repetitions over a defined period of time.
[092] Figure 8 illustrates an example flow chart for a user's initial interaction to determine a user's baseline fitness level. In this example, the system can scan the user and induce the user and sign and purchase automated training. The system 300 can obtain information from the user about weight, sex and age, and create an initial baseline physical fitness level. The system can take the user through an initial series of training and define a participation objective.
[093] After completing the baseline fitness level for the user, computer 102 can then create an initial customized program. The initial customized program can be a function of user input, static user evaluation, and a human movement screen. User input can include a user's time commitment, as well as a number of exercise sessions per week and one or more goals. The status assessment can provide the user with information and preparation in exercises. The human movement screen tagging can be an evaluation of the user's performance of exercise training.
[094] Figure 9 illustrates an example of creating a personal exercise program!
33/45. The personalized program can be a function of human movement screen markings, the number of exercise sessions per week the user wants, and the user's goal (for example, total body fitness, running a marathon, losing weight, etc. .). Goals can also include "getting strong", "getting thin", and / or "getting strong". Other factors that can be considered include a user's fitness profile that can consider a current assessment of a user's fitness level as well as user preferences. The user can also specify multiple goals, including getting fitter, stronger, faster, centered, etc. the user can specify an aptitude level, such as beginner, intermediate, advanced. Computer 102 can assess the user's fitness level over time to confirm the user's incoming fitness level or adjust exercises based on measured performance instead of the user's specified fitness level. The user can also specify a desired period of their program, such as 1 week, 2 weeks, 4 weeks or a customized period.
[095] To obtain these inputs, computer 102 may present a graphical user interface (GUI) on display 302 inducing the user to start a new program and provide input to the initial customized program, as shown in figures 10-13. In figure 13, the graphical user interface can present the user with options for selecting a trainer (for example, tabs for Josh or Lisa), starting a new program, or having an unscheduled session. In response to the selection to start a new program, the graphical user interface can induce the user to enter exercise selections desired by the user, as shown in figure 11.0. The user can, for example, select a program period and a number of sessions per week. The GUI can then present the user with a total number of exercise sessions. The GUI can also present the user with options to join or join a group where a user can be networked (for example,
34/45 example, over the internet) with at least one other user to exercise at the same time. When an unscheduled session is selected, workouts for a single session can be selected in a way that appears random to users, that is, pseudo-random. Selection can be based on one or more user goals, such as endurance and cardio goals. Selection can also be based on user time or performance. The system can select workouts while the user wants to exercise.
[096] Figure 12 shows a scroll bar on the GUI where a user can select a desired number of times to exercise per week. In figure 13, the GUI allows the user to enter reminders so that a text message or email can be sent to a device (for example, a mobile phone) to remind the user about an upcoming workout. The reminder may include a time and date for one or more upcoming exercise sessions.
[097] Figure 14 illustrates an assessment of the level of physical fitness baseline sample determined using human motion and time screen marking. Computer 102 can induce the user to perform one or more exercise workouts, and determine a schedule for each of the assessment exercises using human movement screen marking as well as the time of the user completing the exercise workouts. The human movement screen tagging can vary from 0 to 3, and the time can have categories of slow, moderate, normal and explosive.
[098] Workouts can be used to assess user performance against performance pillars and body movement categories, as depicted in Figure 15. Performance pillars can be assessments designed to analyze a user's endurance, power , speed & agility, energy systems, mobility and regeneration. The body movement training categories may include assessments of core stability, twist, squat, stretch, single leg balance, push-up, push-up and dinghy.
35/45 [099] Figure 16 illustrates an example relationship between body movement categories and human movement screen exercises. Human movement screen exercises can include rotating stability, overhead squat, shoulder stability, barrier step, flexion, active leg lift, and in-line dinghy. Swivel stability can match core stability and torsional body movement categories, overhead squat can match squat body movement category, shoulder stability can match stretch body movement category, barrier step can match to the category of movement of the body of balance in single leg, flexion can correspond to the category of movement of body of flexion, active elevation of the leg can correspond to the category of movement of body of flexion, and inline boat can correspond to the category of movement of the body by boat.
[0100] Computer 102 can instruct the user to perform the same training at various times, as described in figure 17. The training time can affect which performance pillar is being evaluated. In a squat, for example, computer 102 can assess a user's endurance in a slow time and a user's power in an explosive time. Figure 18 illustrates four different time categories including slow, moderate, normal and explosive. Slow can involve the user moving down in an exercise in more than two seconds, holding for one second and moving up in the next two seconds.
[0101] Based on the human movement screen marking, computer 102 can generate an exercise structure for the user, whose example is shown in figure 18. Computer 102 can consider the number of exercise sessions the user wants to do per week in combination with the human movement screen tagging to generate an exercise program. The exercises can focus on one of three activities: a resistance exercise A, a cardio and metabolic exercise B, and a regeneration exercise C. if a user only wants
36/45 exercise once a week, computer 102 can assign a resistance exercise (ie, 1xA). If the user wishes to exercise more than once a week, computer 102 may consider marking the human movement screen for the user. Generally, computer 102 can differentiate between markings 14 and above and markings 13 and below. For human movement screen markings 14 and above, computer 12 can assign a resistance exercise, a cardio and metabolic exercise per week, and no regeneration exercise. For human movement screen markings 13 and below, computer 102 can assign two resistance exercises, no cardio and metabolic exercises per week, and no regeneration exercises. Computer 102 can also structure exercises for users who wish to exercise 3 or more times a week, as shown in figure 19. Alternative embodiments of the invention may include other exercise structures that include different types of exercises and number of sessions.
[0102] Figure 19 illustrates an example flow chart to define objectives and encourage user commitment. Computer 102 can present the user with an evaluation result and comments, and induce the user to select 1 or more goals (for example, losing weight, gaining resistance, etc.). Based on user selection and baseline fitness level, computer 102 can recommend an exercise plan. Computer 102 may also allow the user to record a statement of its purpose. Goals can be shaped to run certain events and can include training sessions designed for or by professional athletes. For example, computer 102 can carry a Training Session Pack designed for or by a professional athlete (for example, 'Paula Radcliffe marathon training') for real life events.
[0103] Figure 20 illustrates an example exercise plan. In this example, the exercise plan is for a six-month exercise program designed to improve the user's human movement screen marking over time.
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Other exercise plans could have different durations, such as a month. In some modalities, users are not presented with a total exercise plan when it is created. The leftmost column can indicate body movements that correspond to the human movement screen marking areas, and the remaining columns can correspond to month programs specifying a workout in each of the body movement categories. Each of phases 1-6 can be a month-long program, and columns 1 and 2 of marking can correspond to month-long remedial exercise programs for users having human movement screen markings less than 3 in a movement category. specific body. In phase 6, for example, the program includes a renegade row exercise in the core stability movement category, a Russian seated twist exercise in the twist movement category, and so on. The user can perform the same exercise workouts during each exercise session during the month, but the intensity and duration of each exercise workout can change during the month according to a 4-week routine. Computer 102 may also allow the user to exchange a workout for an equivalent workout.
[0104] If a user receives a human movement screen score of 3 in all categories, computer 102 can induce the user to performance exercises shown in the month 1 column. If the user receives a human movement screen score of 1 or 2 in any body movement category, computer 102 can induce the user to perform body movement in columns 1 or 2 for that category. For example, if the user receives a score of 1 in the stretch category, computer 102 can induce the user to perform the reach roll'lift exercise in month 1, Lying T's in month 2, and so on along that row. and the six-month program would end in the row flexion exercise starting at the month 4 column.
[0105] In another example, the exercise plan may include a line exercise
38/45 basic and six-month programs, examples of which are shown in Figures 21-34. Figures 21-24 describe Exercise A, which includes exercises focusing on developing the user's endurance and power. Figures 25-32 describe Exercise B, which includes metabolic focus with exercises to develop the user's speed, agility and power. Figures 33-34 describe Exercise C, which includes regeneration exercises such as stretching exercises. Exercise A, for example, can be the priority exercise if a user only exercises once a week, but other exercises can be prioritized as well.
[0106] Referring to figure 22, Exercise A's program for months 1-2 may include a list of exercises, a relationship between work phases and human movement screen, and phase details. The program can include dynamic warm-up, followed by exercises in each of the body's movement categories. After completing the listed exercises, if the user has a human movement screen score of 14 or more, the program may include a metabolic challenge where the user is induced to perform an exercise trying to physically challenge the user (for example, running as fast as possible). fast as you can, do repetitions until the muscle fails, etc.). Thereafter, the program may include regeneration exercises (for example, stretching).
[0107] With reference to figure 26, the exercise plan can specify a set of sets, an exercise time period, and a rest time period. For example, in month 1, Exercise B specifies 2-3 sets per exercise, where the user exercises for 20 seconds followed by 20 seconds of rest.
[0108] Each month-long program during the six-month program can be divided into 4 phases each lasting a week, the example of which is shown in figure 35. Week 1 can be the “presentation week” to present the user with a instructional technique and obtain a baseline physical fitness level. Week 2 can be the “base week” and can involve the user in me
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Improve your technique as well as increase exercise intensity. Week 3 can be the “overload week” and can involve adding more load (for example, weight) to an exercise program and increasing the intensity. Week 4 can be the “challenge week” and can involve pushing a user to their maximum. Other 4-week advances can also be used. Generally, the human body adapts every 4-6 weeks. Some users can adapt at different intervals and the program can be structured to take these differences into account. Some programs may also include shorter or longer advances, and advances can be determined by analyzing a user's performance. Computer 102 induces the user to learn the proper technique that leads to advancement. Challenges are increased over time by adding reps and equipment. As the user achieves an exercise, he receives a new routine to learn, providing an intrinsic reward. Computer 102 attempts to learn a user's most effective exercise, and re-evaluate a user's performance every 4 weeks.
[0109] Figure 36 illustrates a flow chart for taking a user through an exercise session. Computer 102 can induce the user to start an exercise session, and asks how long the user has to exercise, as seen in figure 37. Computer 102 can then provide a summary of the exercise workouts that the user will perform. Computer 102 can provide the how and why of exercises to help the user get into the mind of a competitive athlete. Competitive athletes can include professional athletes, college athletes, personal trainers, community leadership participants and others. For example, workouts can refer to core / corrective exercises, power / endurance exercises, metabolic / energizing exercises, regenerating / stretching exercises. Computer 102 can take the user through a warm-up session (as seen in figure 38). The warm-up session can be a dynamic warm-up
40/45 designed to warm the user's muscles in each of the body's movement categories. Computer 102 can then provide a demonstration of a first workout (as seen in figure 39). The user can then perform the training in front of the image capture device 304 as computer 102 processes images of the user. Computer 102 can cause a display to display an image of the user performing the training (see figure 40). Computer 102 can also provide encouragement for the user to continue (for example, 5 more repetitions) as well as feedback. Encouragement can be given after detecting a predetermined number of repetitions (for example, every 3-5 repetitions), in response to detecting a decrease in repetition rate below a level, or another metric.
[0110] Feedback can allow the user to compete against their own milestones to see improvement in real time and over time. Figure 41, for example, illustrates a comparison of a user's form versus the desired form. In another example, figure 42 illustrates an image of the user exercising with straight lines added to show proper posture of the back and hips during an extreme squat. In an additional example, figures 43A-B illustrate graphical user interfaces that provide the user with feedback on their shape (ie, correction needed: straighten knees), and remove the correction feedback when the user's shape improves. Upon completion of a workout, computer 102 can induce the user to move to the next workout. Figure 44, for example, illustrates a graphical user interface informing the user of the next training category during the exercise session.
[0111] As shown by the examples in figure 45, the system can use data points to determine feedback and motivation to provide a user during an exercise session. The system can also examine an exercise session based on the amount of time a user can commit to an exercise.
41/45 exercise, as described with reference to figures 46-49. For example, an exercise may require 60 minutes, but a user may only have 20 minutes (see figures 46-47). The system can shorten the workout based on the amount of time a user has (see figure 49). Adjustments may include changing an amount of warm-up time, a number of sets, a number of repetitions, replacement exercises, and the like.
[0112] The system can also consider lost exercise session. If a user is able to do at least one exercise session per week, computer 102 can continue with the programmed exercise program (see, for example, figure 20). If the user misses an entire week, computer 102 can initiate the user to perform the next exercise where he left off. If the user has been absent for two or more weeks, computer 102 can cause the user to repeat the last week he or she attended. Computer 102 can also send a message to a user's device (for example, desktop computer, smart phone, laptop computer, etc.), informing about the exercise lost, how many exercises lost, and how the lost exercise affected reaching the goals. user goals. Computer 102 may also include in the message a prompt to reschedule the lost exercise. In some modalities, users can skip exercises.
[0113] Figure 50 illustrates a flow chart to provide a user with post-exercise information. After the end of an exercise, computer 102 can inform the user that the exercise session is complete and can make the avatar trainer extend a fist for a virtual fist or other congratulatory movement (see figure 52). Computer 102 can inform the user about their exercise performance and the number of points associated with the exercise (see figure 52-53). Computer 102 can also induce the user to continue the exercise (see figure 54). Computer 102 can also provide the user with feedback on its shape, and can indicate a number of repetitions in the zones see
42/45 melha e verde, preferred, discussed above, for each exercise workout.
[0114] Computer 102 can also calculate a fatigue index indicating how well the user maintained his fitness during a workout. For example, the fatigue index may indicate that the user was in the preferred zone for the first 4 repetitions, in the good zone for the next 5 repetitions and in the red zone for the last repetition.
[0115] If the user exercises a lot during a session, computer 102 can associate a greater number of points and unlock new exercises. After reaching the milestones of points, the user can unlock exercises and challenges online, or the user can buy these items online through a game console. Other incentives may include obtaining certification from a trainer after reaching certain fitness milestones. The user can also purchase products from a specific clothing or footwear supplier to increase rewards. For example, a product may have a built-in bar code or other information that a user can scan or otherwise enter computer 102 to unlock new training sessions (for example, a session on stretching for a run). In some modalities, the purchase of certain products may allow a user to unlock new exercises. The new exercises can be related to or use the products purchased.
[0116] A display device can feature a graphical user interface for a post-exercise panel allowing a user to examine training data with analysis to see progress and improve future sessions. The user can also choose to post their workout online via social networking (for example, via a social networking website) or otherwise share their workout sessions. Users can post comments and provide recommendations when examining other users' exercises. Users can also post messages to provide motivation to other users. The computer
43/45
102 can also post information to a social network when a user improves their fitness level (for example, Bob has improved his fitness level from intermediate to advanced). Computer 102 may have a dynamic recommendation engine that suggests new profile-based exercises and previous training successes. Coaches can also recommend different types of appointments such as joining a challenge or joining a friend. Computer 102 can then suggest a time and date for an upcoming workout.
[0117] Figure 55 illustrates a flowchart of an unscheduled workout and figures 56-59 illustrate corresponding graphical user interfaces. An unscheduled workout can be an extra workout in addition to those that a user has scheduled for a specific week. An unscheduled session can also be where a user chooses to do a different exercise than the one scheduled for the user. Computer 102 can adjust future exercises based on the unscheduled session. Adjustments can include adding or removing a future exercise of an exercise type (for example, unscheduled session is exercise A, thus replacing a future exercise A with exercise B). If a user is avoiding a specific exercise, computer 102 can identify one or more equivalent exercises and can adjust future exercises to exclude the specific exercise. Other adjustments can also be made.
[0118] To start an unscheduled session, the user can select an unscheduled workout session tab from a graphical user interface (see figure 56). Computer 102 can ask how long the user has to exercise (see figure 57) and what type of session the user wants to do, examples of which may include a full body exercise, a resistance exercise, an effort exercise, an exercise mobility, or a balance exercise (see figure 58). Computer 102 can then perform static postural analysis and / or a body scan. Computer 102 can then provide a summary of the
44/45 exercise workouts that the user will perform. For example, workouts can refer to core / corrective exercises, power / resistance exercises, metabolic / energizing exercises, stretching / regenerating exercises. Computer 102 can take the user through a warm-up session, and then proceed to a first workout (see figure 59). A display device can present a training demonstration. The user can then perform the training in front of the image capture device as computer 102 processes images of the user. Computer 102 can also provide encouragement for the user to continue (for example, 5 more repetitions). Computer 102 then presents feedback to the user. After finishing a workout, computer 102 can prompt the user to move to the next workout. After the end of the last workout, computer 102 can then update a user's points and provide him with a post-exercise summary.
[0119] A challenge session can be where a user competes against a ghost from his previous exercise or another user. For example, computer 102 can store video of a user performing a series of exercises, as well as performance metrics. The display can show the user's video where the user appears translucent, and consequently is indicated as a ghost. The display can cover the video recorded by the image capture device for comparison with the ghost. Computer 102 can provide a demonstration of the challenge, and the user can run the challenge. After the challenge is over, computer 102 can display the challenge results.
[0120] The user can also create their own challenges and exercise sessions for more focused training or share with a social network. The user can receive points, money or other incentives based on a number of other users who download a user-created workout. The user can also have the computer 102 request ghost exercises from friends or
45/45 professionals to assist or compare.
[0121] Challenges can also be against multiple players in a single location (for example, home), or over a network. Figure 60 illustrates an exemplary challenge training. Computer 102 can identify other users having similar skill levels or users can challenge other users. Multiple players can simultaneously participate in an exercise session at the same location, or they can participate sequentially where a ghost of a player who has completed a session is displayed on the screen competing against a later player. In addition, computer 102 can join an online challenge where a user can compete against another player who is also online. The online challenge can allow competitions with multiple other players. Competitions can be organized by age group, skill level, invitation only, to obtain certain point levels or in other ways. A ghost of the leader can be displayed on the display of all other challengers. Computer 102 can also cause a display to show a lead showing how a user compares with other participants. Performance data, such as better personal results, can be communicated graphically and via audio devices.
Conclusion [0122] Aspects of the modalities have been described in terms of their illustrative modalities. Countless other modalities, modifications and variations in the scope and spirit of the attached claims will occur to people with common knowledge in the technique from an examination of this disclosure. For example, a person of ordinary skill in the art will recognize that the steps illustrated in the illustrative figures can be performed in a different order than mentioned, and that one or more illustrated steps may be optional according to aspects of the modalities.

权利要求:
Claims (20)
[1]
1. Computer implemented method CHARACTERIZED by the fact that it comprises:
(a) Provide instructions for performing sports movements;
5 (b) Capture images of a user performing sports movements with an image capture device;
(c) Generate a human movement screen marking on a processor based on the captured images of the user performing sports movements, and (d) Generate on a processor a personalized exercise program based on the human movement screen marking.
[2]
2. Method implemented by computer, according to claim 1, CHARACTERIZED by the fact that (b) it also comprises capturing, with a sensor, different from the image capture device, the movement parameters of the user performing sports movements.
[3]
3 Method implemented by computer, according to claim 2, CHARACTERIZED by the fact that (c) it comprises generating in a processor a human movement screen mark based on the images captured by the user and the movement parameters captured with the sensor.
[4]
4. Method implemented by computer, according to claim 2,
20 CHARACTERIZED by the fact that the sensor, unlike the image capture device, comprises an accelerometer worn on the wrist.
[5]
5. Method implemented by computer, according to claim 2, CHARACTERIZED by the fact that the sensor, different from the image capture device, comprises an accelerometer used in shoes.
25
[6]
6. Method implemented by computer, according to claim 2,
CHARACTERIZED by the fact that the sensor, unlike the image capture device, comprises a sensor to determine orientation.
[7]
7. Method implemented by computer, according to claim 1, CHARACTERIZED by the fact that (d) comprises generating in a processor a program
30 m of personalized exercise based on human movement screen marking and user input.
[8]
8. Method implemented by computer, according to claim 7, CHARACTERIZED by the fact that the user input comprises a time commitment.
35
[9]
9. Method implemented by computer, according to claim 7,
CHARACTERIZED by the fact that the user input comprises a number of exercise session in a predetermined period of time.
2/3
[10]
10. Method implemented by computer, according to claim 1, CHARACTERIZED by the fact that the image capture device comprises a plurality of cameras.
[11]
11. Method implemented by computer, according to claim 10,
5 FEATURED by the fact that the image capture device comprises an infrared camera.
[12]
12. Method implemented by computer, according to claim 1, CHARACTERIZED by the fact that (c) comprises assessing the user's form by identifying locations of parts of the user's body at different times.
10
[13]
13. Method implemented by computer, according to claim 1,
CHARACTERIZED by the fact that it also includes after (d):
(e) Receive exercise data captured by a sensor, different from the image capture device, which monitors user activity; and (f) Modify the personalized exercise program based on the exercise data.
15 heat captured by the sensor.
[14]
14. Method implemented by computer, according to claim 13, CHARACTERIZED by the fact that (f) comprises reducing or eliminating an exercise when the exercise data captured by the sensor indicates that the same exercise or similar exercise was recently performed by the user.
15. Method implemented by computer, according to claim 13,
CHARACTERIZED by the fact that the sensor in (e) comprises an accelerometer worn on the wrist.
16. Method implemented by computer, according to claim 13, CHARACTERIZED by the fact that the sensor in (e) comprises an accelerometer used
25 in footwear.
17. Method implemented by computer, according to claim 13, CHARACTERIZED by the fact that the sensor in (e) comprises a gyroscope.
18. Method implemented by computer, according to claim 13, CHARACTERIZED by the fact that the sensor that monitors the user's sports activity
30 comprises a GPS device.
19. System FEATURED by the fact that it comprises:
A video game console comprising at least one processor;
A display device;
An image capture device;
35 A computer-readable memory containing instructions executable on a computer that, when executed, cause the system to perform the steps comprising: (a) Display instructions on the display device for executing sports movements; with the image capture device images of a user performing sports movements;
(c) Generate at least one human motion screen
5 brother based on the captured images of the user performing sports movements; and (d) Generate at least one customized exercise program based on human movement screen marking on a processor.
20. System, according to claim 20, CHARACTERIZED by the fact that it also comprises:
10 A sensor, different from the image capture device, that captures the movement parameters of the user performing sports movements; and
In which the instructions executable in a computer also include instructions that when executed cause the system to capture the motion parameters captured by the sensor.
[15]
21. System, according to claim 21, CHARACTERIZED by the fact that the sensor, unlike the image capture device, comprises an accelerometer worn on the wrist.
22. System, according to claim 21, CHARACTERIZED by the fact that the sensor, unlike the image capture device, comprises an accelerometer
[16]
20 used in footwear.
[17]
23. System, according to claim 21, CHARACTERIZED by the fact that the sensor, different from the image capture device, comprises a gyroscope.
[18]
24. Tangible computer-readable media CHARACTERIZED by the fact that it contains instructions executable on a computer that when executed make a
[19]
25 system perform the steps comprising:
(a) display on a display device instructions for performing sports movements;
(b) Capture images of a user performing sports movements with the image capture device;
[20]
( _C ) Generate at least one human motion screen mark based on the user's captured images performing sports movements; and (d) generate at least one customized exercise program on a processor based on the human movement screen marking.

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JP2017018603A|2017-01-26|

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JP5982392B2|2016-08-31|

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EP2643779A1|2013-10-02|

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CN107845413A|2018-03-27|

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法律状态:
2019-12-10| B15I| Others concerning applications: loss of priority|Free format text: PERDA DAS PRIORIDADES US13/290,359, DE 07/11/2011, US61/417,102, DE 24/11/2010, US61/422,511, DE 13/12/2010, US61/432,472, DE 13/01/2011 E US61/433,792, DE 18/01/2011, REIVINDICADAS NO PCT/US2011/062114, DE 23/11/2011, CONFORME AS DISPOSICOES PREVISTAS NA LEI 9279, DE 14/05/1996 (LPI), ART. 16,7O. ESTA PERDA SE DEU PELO FATO DE O DEPOSITANTE CONSTANTE DA PETICAO DE REQUERIMENTO DO REFERIDO PEDIDO PCT SER DISTINTO DAQUELES QUE DEPOSITARAM AS PRIORIDADES REIVINDICADAS E TER SIDO APRESENTADO DOCUMENTO DE CESSAO COM FALTA DE ASSINATURA DE TODOS OS SEUS TITULARES, CONFORME EXIGENCIA NAO RESPONDIDA, PUBLICADA NA RPI 2542, DE 24/09/2019, E DISPOSICOES PREVISTAS NA LEI 9279 DE 14/05/1996 (LPI), A |

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2019-12-17| B11A| Dismissal acc. art.33 of ipl - examination not requested within 36 months of filing|

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2020-03-03| B11Y| Definitive dismissal - extension of time limit for request of examination expired [chapter 11.1.1 patent gazette]|

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2020-03-31| B25B| Requested transfer of rights rejected|Owner name: NIKE INTERNATIONAL LTD (US) Free format text: INDEFERIDO(S) O(S) PEDIDO(S) DE ALTERACAO(OES) DE NOME CONTIDO(S) NA PETICAO 860140155115 DE 12/09/2014 EM VIRTUDE DO DESPACHO PUBLICADO NA RPI NO 2565 DE 03/03/2020. |

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2021-10-13| B350| Update of information on the portal [chapter 15.35 patent gazette]|

优先权:

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申请号 | 申请日 | 专利标题

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US41710210P| true| 2010-11-24|2010-11-24|

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US42251110P| true| 2010-12-13|2010-12-13|

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US201161432472P| true| 2011-01-13|2011-01-13|

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US201161433792P| true| 2011-01-18|2011-01-18|

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US13/290,359|US9283429B2|2010-11-05|2011-11-07|Method and system for automated personal training|

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PCT/US2011/062114|WO2012071548A1|2010-11-24|2011-11-23|Method and system for automated personal training that includes training programs|

---