KR20150036180A - Retail training application - Google Patents

Abstract

Systems and methods are provided that can be used to promote products that include activity sensors. Users are urged to compete with each other while performing physical activities. Physical activities are performed by wearing products that include attached or embedded sensors. The data generated by the sensors is used to create a leaderboard. Leaderboards can be displayed within a store close to the products provided for sale.

Description

Retail Training Application {RETAIL TRAINING APPLICATION}

This application claims priority to U.S. Patent Application No. 13 / 538,832, entitled " Retail Training Application, " filed on June 29, 2012, the content of which is incorporated by reference in its entirety and made into a part thereof .

Exercise and fitness are becoming increasingly popular, and the benefits from these activities are well known. Various types of techniques have been incorporated into fitness and other athletic activities. Such as MP3 or other audio players, radios, portable televisions, DVD players or other video playback devices, watches, GPS systems, pedometer, mobile phones, pagers, beeper, A variety of portable electronic devices may be available for use in fitness activities. Many fitness enthusiasts or athletes use one or more of these devices to enjoy, to provide performance data, or to exercise or train for an encounter with another person. These users also expressed interest in recording their athletic activities and their associated metrics. Thus, various sensors may be used to detect, store, and / or transmit athletic performance information. Often, however, the motor performance information is presented based on the disconnected state from the outside, or based on the total motor activity. Athletes may be interested in gaining additional information about their workouts.

The following presents a general summary of exemplary embodiments in order to provide a basic understanding of the exemplary embodiments. This summary is not a broad overview. It is not intended to identify key or critical elements of the invention or to delineate the scope of the invention. The following summary merely presents some concepts of the present invention in its general form as a prelude to the more detailed description that is presented below.

One or more aspects describe systems, devices, computer-readable media, and methods for tracking performance metrics of a user during a workout session.

In some illustrative aspects, systems, devices, computer-readable media, and methods may be configured to process inputs that specify user attributes, adjust the performance zone based on user attributes, and provide an accelerometer and force sensor ), Determining whether the data is within the performance zone, and outputting such a determination.

In some illustrative aspects, systems, devices, computer-readable media, and methods may include sensors (e.g., accelerometers, force sensors, temperature sensors, heart rate monitors, Etc.), and comparing the data to comparison data of a plurality of play styles to determine a particular play style of play styles that most closely matches the data.

In some illustrative aspects, systems, devices, computer-readable media, and methods may be configured to receive data generated by a force sensor indicative of a weight distribution during performance of a plurality of motion tasks, Processing a first input indicative of an unsuccessful completion of a motive task, processing a first input indicative of an unsuccessful completion of the motive task, associating a first weight distribution at a first input previous time with a successful completion of the motive task, And associating a second weight distribution at a second input previous time with an unsuccessful completion of the motion task.

In some illustrative aspects, systems, devices, computer-readable media, and methods may include signature move data corresponding to acceleration and force measurement data measured by a first user performing a series of events, Receiving player data from at least one of the accelerometer and the force sensor by monitoring a second user attempting to perform a series of events and receiving a similarity metric indicative of how similar the player data is to the signature move data And a step of generating the data.

In some illustrative aspects, systems, devices, computer-readable media, and methods may include receiving data generated by at least one of an accelerometer and a force sensor, comparing the data to jump data, Processing the data to determine a lift off time, a landing time, and a loft time, calculating a vertical leap based on the loft time, can do.

Other aspects and features are described throughout this disclosure.

To understand exemplary embodiments, reference will now be made by way of example with reference to the accompanying drawings, in which Fig.
Figures 1A and 1B illustrate an example of a personal training system in accordance with the illustrative embodiments.
2A and 2B illustrate exemplary embodiments of a sensor system according to exemplary embodiments.
Figures 3a and 3b illustrate an example of a computer that interacts with at least one sensor in accordance with exemplary embodiments.
Figure 4 shows examples of pod sensors that can be embedded in and removed from a shoe according to exemplary embodiments.
5 illustrates an exemplary on-body configuration for a computer in accordance with exemplary embodiments.
6-7 illustrate various exemplary off-body configurations for a computer in accordance with exemplary embodiments.
8 illustrates an exemplary display of a graphical user interface (GUI) presented by a display screen of a computer in accordance with exemplary embodiments.
9 illustrates exemplary performance metrics for user selection in accordance with exemplary embodiments.
10 and 11 illustrate an example of calibrating sensors according to exemplary embodiments.
12 illustrates exemplary displays of a GUI that presents information about a session in accordance with exemplary embodiments.
13 illustrates an exemplary display of a GUI that provides a user with information about a user ' s performance metric during a session according to exemplary embodiments.
Figure 14 illustrates exemplary displays of a GUI that present information about a user ' s vcard in accordance with exemplary embodiments.
15 shows an exemplary user profile display of a GUI that presents a user profile in accordance with the illustrative embodiments.
Figure 16 illustrates a further example of a user profile display that presents additional information for a user in accordance with exemplary embodiments.
17-20 illustrate additional exemplary displays of a GUI for displaying performance metrics to a user in accordance with exemplary embodiments.
Figure 21 illustrates exemplary freestyle displays of a GUI that provide information about freestyle user behavior in accordance with exemplary embodiments.
FIG. 22 illustrates exemplary training displays that present user-selectable training sessions in accordance with the illustrative embodiments.
23-26 illustrate exemplary training sessions in accordance with the illustrative embodiments.
Figures 27-30 illustrate display screens for GUIs for a basketball shooting training session in accordance with the illustrative embodiments.
31 illustrates an exemplary display of a GUI that informs the user of shooting milestones in accordance with exemplary embodiments.
32 illustrates exemplary signature move displays for a GUI that prompt a user to perform a drill to imitate a signature of a pro athlete according to exemplary embodiments.
33 illustrates exemplary displays of a GUI for searching other users and / or professional athletes for comparison of performance metrics in accordance with the illustrative embodiments.
Figures 34 and 35 illustrate exemplary displays for comparing a user's performance metrics with other individuals according to exemplary embodiments.
36 illustrates a flow diagram of an exemplary method for monitoring a user performing physical activity in accordance with exemplary embodiments to determine whether the acquired physical data is within the performance zone.
Figure 37 illustrates a system that can be used to facilitate the sale of products with embedded or attached sensors in accordance with one embodiment of the present invention.
Figure 38 illustrates a method that can be used to facilitate the sale of products with built-in or attached sensors in accordance with an embodiment of the present invention.

In the following description of the various embodiments, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration various embodiments in which the present disclosure may be practiced. It is to be understood that other embodiments may be utilized and structural or functional modifications may be made without departing from the spirit and scope of the disclosure. Also, the headings in this disclosure should not be construed as limiting aspects of the disclosure. Those skilled in the art having the benefit of this disclosure will appreciate that the exemplary embodiments are not limited to the exemplary headings.

Ⅰ. An exemplary personal training system

A. Exemplary Computing Devices

FIG. 1A illustrates an example of a personal training system 100 in accordance with the illustrative embodiments. Exemplary system 100 may include one or more electronic devices, such as computer 102. Computer 102 may include a mobile terminal such as a telephone, music player, tablet, netbook, or any portable device. In other embodiments, the computer 102 may include a set top box (STB), a desktop computer, a digital video recorder (s) (DVR), a computer server (s), and / or any other desired computing device . In certain configurations, the computer 102 may include a gaming console, such as Microsoft® XBOX, Sony® Playstation, and / or a Nintendo® Wii gaming console. Those skilled in the art will appreciate that the present disclosure is not limited to any console or device as merely exemplary console for illustration purposes.

1B, the computer 102 may include a computing unit 104, and the computing unit 104 may include at least one processing unit 106. In one embodiment, The processing unit 106 may be any type of processing device for executing software instructions, such as, for example, a microprocessor device. The computer 102 may include various non-volatile computer readable media, such as the 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. The memory 108 may store information such as electronically erasable programmable read only memory (EEPROM), flash memory or other memory technology, a CD-ROM, a digital versatile disk, or other optical disk storage, magnetic storage devices, And any other medium that can be accessed by the computer 102. [0033]

The processing unit 106 and the system memory 108 may be directly or indirectly coupled to one or more peripheral devices via the bus 114 or alternate communication structure. For example, the processing unit 106 or system memory 108 may be directly or indirectly coupled to additional memory storage, such as a hard disk drive 116, a removable magnetic disk drive, an optical disk drive 118, and a flash memory card have. The processing unit 106 and the system memory 108 may also be directly or indirectly coupled to one or more input devices 120 and one or more output devices 122. Output devices 122 may include, for example, display device 136, television, printer, stereo, or speakers. In some embodiments, the one or more display devices may be integrated into an eyewear. Display devices integrated into the eyewear can provide feedback to users. Eyeglasses incorporating one or more display devices are also provided for portable display systems. The input device 120 may include, for example, a keyboard, a touch screen, a remote control pad, a pointing device (such as a mouse, touch pad, stylus, trackball, or joystick), a scanner, a camera, have. In this case, the input devices 120 may include one or more sensors configured to sense, detect, and / or measure movement motions from a user, such as the user 124, as shown in FIG. 1A.

1A, the image capture device 126 and / or the sensor 128 may be utilized to detect and / or measure movement motions of the user 124. In one embodiment, the data acquired from the image capture device 126 or the sensor 128 directly detects movement motion, whereby data obtained from the image capture device 126 or the sensor 128 is directly correlated with motion parameters There is a relationship. However, in other embodiments, the data from the image capture device 126 and / or the sensor 128 may be used to combine with each other to detect and / or measure operations, or in combination with other sensors. This allows certain measurements to be determined from combining data obtained from two or more devices. The image capture device 126 and / or the sensor 128 may be an accelerometer, a gyroscope, a positioning device (e.g., GPS), a light sensor, a temperature sensor (including ambient and / But are not limited to, one or more sensors including an image capture sensor, a humidity sensor, and / or a combination thereof. Exemplary uses of the exemplary sensors 126 and 128 are provided below in Section C named " Exemplary Sensors ". The computer 102 may also use touch screens or an image capture device to determine where the user points for selection from the graphical user interface. One or more embodiments may utilize one or more wired and wireless technologies, either alone or in combination, where examples of wireless technologies include Bluetooth (R) technologies, Bluetooth (R) low energy technologies, and / or ANT technologies.

B. Exemplary Networks

The computer 102, the computing unit 104, and / or any other electronic devices may communicate with a network, such as the network 132, using one or more (e.g., one or more) It can be connected directly or indirectly to the network interface. 1B, the network interface 130 may include one or more communication protocols such as transmission control protocol (TCP), Internet protocol (IP), and user datagram protocol (UDP) A network adapter or a network interface card (NIC) configured to convert data and control signals from the computing unit 104 into network messages in accordance with the network protocol. These protocols are well known and will not be described in further detail herein. The interface 130 may employ any suitable connection agent for connecting to a network including, for example, a wireless transceiver, a power line adapter, a modem, or an Ethernet connection . However, the network 132 may include any or all of one or more of the type (s) or topology (s) of the type (s), alone or in combination, such as the Internet (s), intranet (s), cloud May be distributed network (s). The network 132 may be any one or more of cable, fiber, satellite, telephone, cellular, and wireless. Networks are well known and will not be described in further detail herein. The network 132 may be used to store one or more locations (e.g., schools, businesses, homes, customer premises, network resources, etc.) Lt; RTI ID = 0.0 > wired < / RTI > In practice, system 100 may include more than one instance of each component (e.g., more than one computer 102, more than one display 136, etc.).

Output devices, and storage peripheral devices, as well as specifically listed input devices, output devices, and storage peripheral devices, regardless of whether the computer 102 or other electronic device in the network 132 is portable or stationary It is to be understood that the computing device may be connected to the various other peripheral devices directly or via the network 132, including some that may perform functions or combinations thereof. In certain embodiments, a single device may incorporate one or more of the components shown in FIG. 1A. For example, a single device may include a computer 102, an image capture device 126, a sensor 128, a display 136, and / or additional components. In one embodiment, the sensor device 138 may include a mobile terminal having a display 136, an image capture device 126, and one or more sensors 128. However, in other embodiments, the image capture device 126 and / or the sensor 128 may be peripheral devices configured to be operatively coupled to a media device, including, for example, a gaming or media system. As such, the present disclosure is not limited to fixed systems and methods. Rather, certain embodiments may be implemented by the user 124 at any location.

C. Exemplary Sensors

The computer 102 and / or other devices may include one or more sensors 126, 128 configured to detect and / or monitor at least one fitness parameter of the user 124. The sensors 126 and / or 128 may be used to measure the temperature of the subject, such as an accelerometer, a gyroscope, a positioning device (e.g., GPS), an optical sensor, a temperature sensor (including ambient and / , An image capture sensor, a humidity sensor, and / or a combination thereof. The network 132 and / or the computer 102 may include, for example, a display 136, an image capture device 126 (e.g., one or more video cameras), and a sensor 128, which may be an infrared (E. G., ≪ / RTI > the system 100). In one embodiment, the sensor 128 may comprise an IR transceiver. For example, sensors 126 and / or 128 may transmit waveforms to the environment (including pointing in the direction of user 124) and receive "reflections " In another embodiment, the image capture device 126 and / or the sensor 128 may be configured to transmit and receive other wireless signals, such as radar, sonar, and / or audible information. Those skilled in the art will readily appreciate that signals corresponding to a plurality of different data spectra may be utilized in accordance with various embodiments. In this regard, sensors 126 and / or 128 may be used (e.g., The sensors 126 and / or 128 may detect the heat emitted from the user 124 and / or the surrounding environment. , This In one embodiment, the image capture device 126 and / or the sensor 128 may be implemented using a range phenomenology, such as, for example, As a non-limiting example, image capture devices configured to perform range phenomena may be commercially available from Flir Systems, Inc. of Portland, < RTI ID = 0.0 > O. < / RTI & (Wired or wireless) communication with the computer 102, those skilled in the art will appreciate that any one of them can communicate directly with the network 132 (wired or wireless) I will understand.

1. Multipurpose electronic devices

The user 124 may possess, carry, and / or wear any number of electronic devices including sensory devices 138, 140, 142, and / or 144. In certain embodiments, one or more of the devices 138, 140, 142, 144 may not be specially manufactured for fitness or exercise purposes. Indeed, aspects of this disclosure relate to collecting, detecting, and / or measuring motion data utilizing data from a plurality of devices, some of which are not fitness devices. In one embodiment, the device 138 may include a portable electronic device such as a telephone or digital music player, such as IPOD®, IPAD®, or iPhone®, brand devices available from Apple, Inc. of Cupertino, And Zune® or Microsoft® Windows devices commercialized by Microsoft of Redmond, Washington. As is known, digital media players may serve as output devices and storage devices for computers (e.g., output music from a sound file and output pictures from an image file). In one embodiment, the device 138 may be a computer 102, but in other embodiments, the computer 102 may be completely separate from the device 138. [ Regardless of whether the device 138 is configured to provide an output, it may serve as an input device for receiving sensory information. Gyroscope, position determination device (e.g., GPS), optical sensor, temperature sensor (including ambient temperature and / or body temperature), heart rate monitor , An image capture sensor, a humidity sensor, and / or a combination thereof. In certain embodiments, the sensors may be passive, such as reflective materials that can be (among other things) sensed by the image capture device 126 and / or the sensor 128, and, in certain embodiments, 144 may be incorporated into garments such as sportswear. For example, the user 124 may wear one or more on-body sensors 144a and 144b. The sensors 144 may be integrated into the clothes of the user 124 and / or disposed at any desired location in the body of the user 124. The sensor 144 may communicate with the computer 102, the sensors 128, 138, 140, and 142, and / or the camera 126 (e.g., wirelessly). Examples of interactive gaming apparel are described in U.S. Patent Application No. 10 / 286,396, filed October 30, 2002, and published as U.S. Patent Publication No. 2004/0087366, the contents of which are incorporated herein by reference, Incorporated herein by reference in its entirety for all purposes. In certain embodiments, the passive sensing surfaces may reflect waveforms such as infrared light emitted by the image capture device 126 and / or the sensor 128. In one embodiment, the passive sensors located in the garment of the user 124 may include spherical structures formed of glass or transparent or translucent surfaces that are generally capable of reflecting the waves. Different classes of garments may be utilized, including certain sensors configured such that a predetermined class of garment is located closest to a particular area of the body of the user 124 when properly worn. For example, the golf garment may include one or more sensors located in the garment in the first configuration, and the football garment may include sensors on the one located in the garment in the second configuration.

The devices 138-144 as well as any other electronic devices disclosed herein, including any sensory device, can communicate with each other directly or over a network such as the network 132. [ Communication between one or more of the devices 138-144 may occur via the computer 102. [ For example, two or more of the devices 138-144 may be peripherals operatively coupled to the bus 114 of the computer 102. Device 142 may communicate with a first computer such as computer 102 as well as other devices such as device 142 in another embodiment, And can communicate with the device. In addition, one or more electronic devices may be configured to communicate over multiple communication paths. For example, the device 140 may communicate with the device 138 via a first wireless communication protocol and may also be configured to communicate with a different device, such as, for example, the computer 102 via a second wireless communication protocol . Exemplary wireless protocols are described and known throughout this disclosure. Those skilled in the art will appreciate that other configurations are possible.

Some implementations of the exemplary embodiments may alternatively or additionally employ computing devices intended to perform a wide variety of functions, such as a desktop or laptop personal computer. These computing devices may have any combination of peripheral devices or additional components as desired. 1B may also be included in server 134, other computers, devices, and the like.

2. Exemplary Apparel / Accessory Sensors

In certain embodiments, the sensory devices 138, 140, 142, and / or 144 are formed within an accessory that includes the clothes of the user 124, or a watch, an armband, a wristband, a necklace, Otherwise they can be related to them. Examples of shoe-mounted devices and wrist-worn devices (devices 140 and 142, respectively) are described immediately below, but these are merely exemplary embodiments and the disclosure should not be limited thereto.

i. Shoe mounted device

In certain embodiments, the sensory device 140 may include, but is not limited to, a footwear that may include one or more sensors including an accelerometer, position sensing components such as GPS, and / or force sensor system . 2A illustrates an exemplary embodiment of a sensor system 202 in accordance with exemplary embodiments. In certain embodiments, the system 202 may include a sensor assembly 204. The assembly 204 may include one or more sensors, such as, for example, an accelerometer, positioning components, and / or force sensors. In the illustrated embodiment, the assembly 204 incorporates a plurality of sensors, which may include force sense resistor (FSR) sensors 206. In other embodiments, other sensor (s) may be utilized. A port 208 may be located within the sole structure 209 of the shoe. Port 208 may be optionally provided for communicating with electronic module 210 (which may be in housing 211) and a plurality of leads 212 connecting FSR sensors 206 to port 208 have. And may be contained in a well or cavity of the sole structure of the shoe. Port 208 and module 210 include complementary interfaces 214 and 216 for connection and communication.

In certain embodiments, at least one force sense resistor 206 shown in FIG. 2A is disposed between the first and second electrodes or electrical contacts 218, 220 and the electrodes 218, Sensing resistor material 222 that electrically connects the electrodes 218, 220 to each other. When pressure is applied to the force sensing material 222, the resistance and / or conductivity of the force sensing material 222 changes, which changes the potential between the electrodes 218 and 220. A change in resistance may be detected by the sensor system 202 to detect a force applied to the sensor 216. The force sense resistor material 222 may vary its resistance under pressure in a variety of ways. For example, similar to the quantum tunneling composites described in more detail below, the force sensing material 222 may have a reduced internal resistance when the material is compressed. Further compression of this material can further reduce resistance, allowing quantitative measurements as well as binary (on / off) measurements. In some situations, this type of force-sensing resistor behavior can be described as " volume-based resistance ", and materials exhibiting this behavior can be referred to as " smart materials. &Quot; As another example, material 222 may change resistance by varying the degree of contact between surfaces. This can be achieved by using microprojections on the surface that increase the surface resistance in various ways, for example under uncompressed conditions, or - when the microprojections are compressed, the surface resistance is reduced - By using a flexible electrode that can be deformed to produce a high voltage. This surface resistance can be controlled by the resistance between the material 222 and the electrodes 218 and 220 and / or the force sensing layer (e.g., semiconductor) of the multilayer material 222 and the conductive layer (e.g., carbon / graphite graphite). < / RTI > The larger the compression, the greater the contact between the surfaces, resulting in a lower resistance and a quantitative measurement. In some situations, this type of force sense resistor behavior can be described as " contact based resistance ". It is understood that the force sensing resistor material 222 as defined herein may or may not be a doped or non-doped semiconductor material.

Electrodes 218 and 220 of the FSR sensor 206 may be fabricated from a variety of materials including metals, carbon / graphite fibers or composites, other conductive composites, conductive polymers or polymers including conductive materials, conductive ceramics, doped semiconductors, May be formed of any conductive material including conductive materials. The leads 212 may be formed from any suitable material such as welding, soldering, brazing, adhesively joining, fasteners, or any other integral or non- May be connected to the electrodes 218, 220 by any suitable method including, for example, Alternatively, the electrodes 218, 220 and associated leads 212 may be formed into a single piece of the same material.

Other embodiments of sensor system 202 include different quantities and / or configurations of sensors, and may generally include at least one sensor. For example, in one embodiment, the system 202 includes multiple sensors, and in another embodiment, the system 202 includes two sensors, one on the heel and the other on the user ' It is in the forefoot of a device or shoe near the foot. In addition, the one or more sensors 206 may communicate with the port 214 in a different manner, including any known type of wired or wireless communication, including Bluetooth and near-field communication. The pair of shoes may be provided with sensor systems 202 in each shoe, the paired sensor systems may be operated by synergy, or may operate independently of each other, It is understood that they may not communicate or communicate. The sensor system 202 is also provided with a sensor system 202 that is operably coupled to a processor 202 that is operably coupled to the processor system 202. The sensor system 202 is also coupled to the sensor system 202, Computer executable instructions may be provided and these executable instructions may be stored in the memory 206 of the sensor 206, any module, and / or the device 128, computer 102, server 134, and / Or stored in an external device, such as memory 132, and / or executed thereby.

ii. Wrist Wear Device

As shown in FIG. 2B, the device 226 (which may be or similar to the sensory device 142 shown in FIG. 1A) is adapted to be worn by the user 124, for example, around the wrist, arm, Lt; / RTI > Device 226 may monitor the user ' s motion actions, including 24-hour activity of user 124. [ In this regard, the device assembly 226 may detect motion and / or operate independently of the computer 102 during interaction of the user 124 with the computer 102. For example, in one embodiment, device 226 may be a 24-hour activity monitor that measures activity regardless of proximity or interaction with the user's computer. The device 226 may communicate directly with other devices, such as the network 132, and / or the devices 138 and / or 140. In other embodiments, motion data obtained from the device 226 may be utilized for decisions made by the computer 102, such as decisions about which exercise programs are presented to the user 124. In one embodiment, the device 226 may also interact with a remote web site, such as a mobile device, such as the device 138 associated with the user 124, or a site dedicated to fitness or health- . At some predetermined time, the user may want to transfer data from the device 226 to another location.

As shown in FIG. 2B, the device 226 may include an input mechanism, for example, a push button 228 that assists the operation of the device 226. Input button 228 may be operably connected to controller 230 and / or any other electronic components, such as one or more of the elements described in connection with computer 102 shown in FIG. 1B. The controller 230 may be embedded or otherwise part of the housing 232. The housing 232 may be formed from one or more materials including elastomeric components and may include one or more displays, such as the display 234. The display can be viewed as an illuminatable portion of the device 226. Display 234 may include a series of individual light emitting elements or light elements, such as LEDs 234 in the exemplary embodiment. The LED lights may be formed into an array and may be operatively coupled to the controller 230. [ The device 226 may include an indicator system 236, which may be considered a part or component of the entire display 234. It is understood that the indicator system 236 may operate and illuminate with the display 234, or may be completely separate from the display 234. The indicator system 236 may also include a plurality of additional light emitting elements or light elements 238, which may also take the form of LED lights in the exemplary embodiment. In certain embodiments, the indicator system may illuminate a portion of the light emitting members 238 to provide a visual indication of the objectives by indicating achievement toward one or more purposes.

The fastening mechanism 240 can be unlocked if the device 226 can be positioned around the wrist of the user 124 and then the fastening mechanism 240 can be placed in the locked position. The user can always wear the device 226 whenever he wants. In one embodiment, the fastening mechanism 240 may include an interface including, but not limited to, a USB port for operational interaction with the computer 102 and / or the device 138, 140.

In certain embodiments, the device 226 may include a sensor assembly (not shown in FIG. 2B). The sensor assembly may include a plurality of different sensors. In an exemplary embodiment, the sensor assembly may include an accelerometer (including in the form of a multi-axis accelerometer), a heart rate sensor, a position sensor such as a GPS, and / or other sensors, It is possible to allow an enemy connection. The actions or parameters detected from the sensor (s) of the device 142 include, but are not limited to, speed, distance, treadmill, calorie, heart rate, sweat detection, effort, oxygen consumption, and / or oxygen kinetics (Or may be used to form) a variety of different parameters, metrics, or physiological characteristics, including, for example, These parameters may be expressed in terms of activity points or currencies obtained by the user based on the user ' s activity.

Various examples can be implemented using electronic circuits configured to perform one or more functions. For example, using some embodiments of the present invention, computing devices such as smart phones, mobile devices, computers, servers, or other computing devices may be implemented using one or more application-specific integrated circuits (ASICs) . However, more particularly, components of various examples of the present invention may be implemented by using a programmable computing device that executes firmware or software instructions, or by any combination of firmware or software instructions and proprietary electronics running on a programmable computing device .

II. Monitoring system

Figures 3a and 3b illustrate an example of a computer that interacts with at least one sensor in accordance with exemplary embodiments. In the illustrated example, the computer 102 may be implemented as a smart phone that may be carried by a user. Exemplary sensors may be worn on the user's body, may be located outside the body, and include any of the aforementioned sensors, including an accelerometer, a distributed sensor, a heart rate monitor, a temperature sensor, . In FIG. 3, a pod sensor 304 and a dispersion sensor 306 (including, for example, the sensor system 202 described above with one or more FSRs 206) are shown. The pod sensor 304 may include an accelerometer, gyroscope, and / or other sensing techniques. In some examples, the pod sensor 304 may be at least one sensor for monitoring data that is not directly related to user activity. For example, peripheral sensors may be worn by the user or external to the user. The ambient sensors may include a temperature sensor, a compass, a barometer, a humidity sensor, or other type of sensor. Other types of sensors and combinations of sensors configured to measure user motion may also be used. In addition, the computer 102 may incorporate one or more sensors.

The pod sensor 304, the dispersion sensor 206, and other types of sensors may include a wireless transceiver and computer 102 for communicating with each other. For example, the sensors 304 and 306 may be connected to a network 132, other devices worn by the user (e.g., a clock, an arm band device, etc.), sensors or devices worn by a second user , External devices, and the like. In one example, the sensor of the left shoe can communicate with the sensor of the right shoe. In addition, a shoe may include a plurality of sensors that communicate with each other and / or communicate with the processor of the shoe. In addition, the pair of shoes may include a single processor that collects data from multiple sensors associated with the shoe, and a transceiver coupled to a single processor may be coupled to the computer 102, network 132, and server 134 The sensor data can be transmitted to at least one. In another example, one or more sensors of the shoe may communicate to a transceiver in communication with at least one of the computer 102, the network 132, and the server 134. Also, sensors associated with a first user may communicate with sensors associated with a second user. For example, the sensors of the shoes of the first user may communicate with the sensors of the shoes of the second user. Other geometric features and relationships may also be used.

The computer 102 may exchange data with the sensors and may also communicate data received from the sensors via the network 132 to the server 134 and / or the other computer 102. A user wears headphones or ear buds to receive audio information from the computer 102 and receive information from one or more of the sensors, from the server 134, from the network 132, Can be received directly from the combination. Headphones can be wired or wireless. For example, the distribution sensor 306 can deliver data to headphones for audible output to the user.

In one example, the user wears shoes, each equipped with an accelerometer, force sensor, etc., to cause the computer 102 and / or the server 134 to operate independently or with reference to Figures 1a, 1b, 2a, (E.g., legs, hands, arms, respective fingers or toes, human feet or legs, hips, chest, shoulders, head, eyes) You can let the metrics decide.

The processing of the data may be distributed in any manner, or may be performed entirely on one shoe by computer 102, server 134, or a combination thereof. In the following description, the computer 102 may be described as performing a function. Other devices, including server 134, controllers, other computers, processes, in shoes or other apparel products, or other devices, may perform functions in place of or in addition to computer 102. For example, one or more sensors of each shoe (or other peripheral sensor) may be associated with each local controller that performs some or all of the processing of the raw signal output by one or more sensors. The processing of the controller at any given point in time may be the subject of a higher tiered computing device (e.g., command and control of the computer 102). Such an upper layer device may, for example, Computations and calculations may be performed on one or more computing devices that include some or all of the computing devices described above, with or without additional computing devices, from one or more controllers. The sensors can then detect the desired conditions and generate the original signals, which are processed to provide the processed data. The processed data is then used to calculate the current performance metrics (e.g., Speed of travel, etc.), and the determination May vary depending on the user input (e.g., how high I have jumped?) And / or programming (e.g., whether the user has performed the marked motion? And how it is quantified / qualified in the user experience if detected) .

In one example, the sensors 304 and 306 may process and store measurement data and may transmit the processed data (e.g., average acceleration, maximum speed, total distance, etc.) to the computer 102 and / . The sensors 304 and 306 may also send raw data to the computer 102 for processing. For example, the raw data may include an acceleration signal measured by an accelerometer over time, a pressure signal measured by a pressure sensor over time, and the like. Examples of the use of multiple sensors in multiple sensor apparel and motor activity monitoring are described in U. S. Patent Application Serial No. 12 / 483,824, titled " FOOTWEAR HAVING SENSOR SYSTEM ", published as U.S. Publication No. 2010/0063778 A1, No. 12 / 483,828, titled " FOOTWEAR HAVING SENSOR SYSTEM ", and published as U.S. Publication No. 2010/0063779 A1. The contents of the above-referenced applications are hereby incorporated by reference in their entirety. In a particular example, an athlete may wear shoes 302 having one or more force sensing systems that utilize Force Sensing Resistance (FSR) sensors, as illustrated in Figure 2A and as described in the above noted patent publication have. The shoe 302 may have a plurality of FSR sensors 206 that detect forces in different areas of the user's feet (e.g., the heel, mid-sole, toe, etc.). The computer 102 may process data from the FSR sensors 206 to determine a balance between the user's feet and / or the user's two feet. For example, the computer 102 may compare the force measurements by the FSR 206 from the left shoe with the force measurements by the FSR 206 from the right shoe to determine balance and / or weight distribution.

3B is another exemplary data flow diagram in which the computer 102 interacts with at least one sensor processing system 308 to detect user actions. The sensor processing system 308 may be physically separate and distinct from the computer 102 and may communicate with the computer 102 via wired or wireless communication. Sensor processing system 308 may include other sensors (e.g., sensor 306) in place of or in addition to sensor 304 as well as sensor 304 shown. In the illustrated example, the sensor system 308 is capable of receiving and processing data from the sensor 304 and the FSR sensor 206. The computer 102 may receive input from a user for an activity session (e.g., cross training, basketball, running, etc.) of the type that the user would like to perform. Alternatively or additionally, the computer 102 may detect the type of activity the user is performing, or may receive information about the activity type being performed from another source.

Based on the activity type, the computer 102 may identify one or more predefined action templates and deliver subscriptions to the sensor system 308. [ Action templates can be used to identify motions or actions that a user can perform while performing a determined activity type. For example, an action may correspond to a group of one or more events, such as determining that a user steps one step to the left after taking one step to the left, or decides to jump while flicking his or her wrist . Thus, a different set of one or more behavioral templates may be defined for different activity types. For example, a first set of behavioral templates defined for basketball may include dribbling, basketball shooting, boxing out, slam dunking, sprinting, and the like. For example, a second set of behavioral templates defined for soccer may include kicking the ball, dribbling, stealing, heading the ball, and so on. Behavioral templates can correspond to any desired level of granularity. In some examples, a particular type of activity may include 50 to 60 templates. In another example, one type of activity may include 20 to 30 templates. An arbitrary number of templates can be defined as needed for one type of activity. In another example, the templates may be manually selected by the user rather than being selected by the system.

The sensor subscriptions may allow the sensor system 308 to select sensors for which data may be received. The sensor processing system 308 may manage subscriptions used at any particular point in time. The types of subscriptions include force sense resistance data from one or more force sense resistors, acceleration data from one or more accelerometers, summary information (e.g., a summary of acceleration data) via multiple sensors, A summary of force resistance data, etc.), pressure maps, mean center data, gravity control sensor data, force sense resistor derivative, acceleration derivative, and / or the like. In some instances, a single subscription may correspond to the sum of data from multiple sensors. For example, if a template requires a shift of force to the user's entire region of the foot, a single subscription may correspond to the sum of the forces of all sensors in the forefoot region. Alternatively or additionally, the force data of each of the front force sensors may correspond to a separate subscription.

For example, if the sensor system 308 includes four force sensitive resistance sensors and one accelerometer, the subscriptions may specify which of the five sensors is to be monitored for sensor data. In another example, the subscriptions may specify to receive / monitor sensor data from the right shoe accelerometer rather than the left shoe accelerometer. In yet another example, the subscription may include monitoring data from a wrist wear sensor, not a heart rate sensor. The subscriptions can specify sensor thresholds to adjust the sensitivity of the event detection process of the sensor system. For this reason, in some activities, the sensor system 308 may be instructed to detect all force peaks higher than the first designation threshold. For other activities, the sensor system 308 may be instructed to detect all force peaks higher than the second designation threshold. The use of different sensor subscriptions can help the sensor system preserve power when some sensor readings are not needed for a particular activity. Thus, different activities and activity types may use different sensor subscriptions.

The sensor processing system 308 may be configured to perform initial processing of the original sensor data to detect various granular events. Examples of the events may include the starting site or start of the jump, the maximum acceleration during the period, and the like. The sensor system 308 may then send events to the computer 102 for comparison to various templates to determine whether the action has been performed. For example, the sensor system 308 may identify one or more events and may wirelessly transmit BLUE (BLUETOOTH® Low Energy) packets or other data types to the computer 102. In another example, instead or additionally, the sensor system 308 may transmit the original sensor data.

After receiving the events and / or the original sensor data, the computer 102 may perform post-matching processing that includes determining various activity metrics such as iteration, air-time, velocity, distance, . Activity classification can be performed by identifying the various events and behaviors represented in the data received from any number and type of sensors. Thus, activity tracking and monitoring can include determining whether one or more anticipated or noticed actions within an activity type have been performed and determining a metric associated with those actions. In one example, behaviors correspond to one or more series of low-level or granular events and can be detected using predefined behavioral templates.

For example, using a behavioral template, the computer 102 may automatically detect when the user performed a particular activity or when the particular motion that was predicted during that activity was performed. If a user plays soccer, for example, detecting that a user has jumped while flicking his or her wrist, the user may indicate that the shot was taken. In another example, detecting that the user has moved both feet while jumping while moving both feet outward while jumping may be registered as a user performing a single iteration of the jumping jack movement. Various other templates may be defined as desired to identify a specific type of activity, behavior, or action within the activity types.

FIG. 4 illustrates examples of pod sensors 304 that may be embedded in and removed from a shoe according to exemplary embodiments. The pod sensor 304 may include a rechargeable battery that can be recharged when inserted into a wall adapter 402. [ Wired charging of the pod sensor 304 may be used. For example, the pod sensor 304 may be inductively charged. In some examples, the pod sensor 304-1 may be configured to have an interface (e.g., Universal Serial Bus (USB)) that allows insertion of data into a computer or other device for downloading and / or receiving . The interface of the pod sensor may be provided for wired or wireless communication. For example, software updates may be loaded on a pod sensor when connected to a computer. In addition, the pod sensor can wirelessly receive software updates. When physically coupled to the computer 102 (or other device having a port), the pod sensor can be charged to communicate with the computer 102.

5 illustrates an exemplary on-body configuration for computer 102 in accordance with the illustrative embodiments. The computer 102 may be configured to be worn or otherwise integrated into a garment at a desired location on the wearer's body, such as, for example, a user's arm, leg, or chest. For example, each garment product may have its own integrated computer. The computer may be a thin client of what the user is doing, depending on the environment, or may be mounted / networked. The computer 102 may also be located away from the user ' s body, as shown in Figs. 6-7.

Figures 6 and 7 illustrate various exemplary off-body configurations for computer 102 in accordance with the illustrative embodiments. The computer 102 may be placed in the docking station 602 to allow display of the GUI for the large screen and output of audio through the stereo system. As in other examples, the computer 102 may be capable of communicating voice commands (e. G., Using a keyboard) via direct user input, via input from a remote control, or in other ways for receiving user commands Lt; / RTI > Other off-body configurations include placing the computer 102 on a nearby floor or table in which the user is exercising, storing the computer 102 in a workout bag or other storage container, and installing a tripod mount 702 And locating the computer 102 on a wall mount 704. The computer 102 may be a personal computer, Other off-body configurations may also be used. When worn as an off-body, a user can wear a headphone, an ear bud, a wrist-wearing device or the like that can provide a user with real-time updates. The pod sensor 304 and / or the dispersion sensor 306 may be in wireless communication with the computer 102 in the off-body position when triggered by the user, if within range, periodically, And may upload data to the computer 102 when prompted by the user at a later time.

In one example, a user may interact with the graphical user interface (GUI) of the computer 102. FIG. 8 illustrates an exemplary display of a GUI presented by the display screen of the computer 102 in accordance with the illustrative embodiments. The home page display 802 of the GUI presents a home page to provide general information to the user and prompts the user to choose what type of physical activity session they are interested in, (E. G., A basketball game, a workout, etc.). ≪ / RTI > The display screen of the computer 102 may be touch sensitive and / or may receive user input via a keyboard or other input means. For example, a user may tap the display screen or provide another input to cause the computer 102 to perform operations.

In order to obtain information about the previous session, the user may tap or select a field 804 containing the last session to cause the computer 102 to update the home page display 802 from the at least one previous session, (E.g., a vertical leap, a total air time, an activity point, etc.). For example, the selected field 804 includes information about the duration of the last session, the user's best vertical leap, the total amount of time the user was in the air during the last session, and the incentive points (e.g., Activity points), as shown in FIG. Computer 102 may determine performance metrics (e.g., speed, vertical jump, etc.) by processing data sensed by sensors 304 and 306 or other sensing devices.

The home page display 802 allows the user to select whether to allow the computer 102 to track one or more user performance metrics during a workout or a sports activity session by selecting the field 806, To assist in improving the athletic performance of the user. Figs. 9 to 21 illustrate the former, and Figs. 22 to 31 explain the latter.

9 illustrates exemplary performance metrics for user selection in accordance with exemplary embodiments. In one example, the user may be interested in monitoring total play time, vertical leap, distance, calories burned, and / or other metrics and may use the home page display 802 to select the desired metrics shown in FIG. have. The metrics may also vary based on the type of exercise activity performed in the session. For example, the home page display 802 may present some default and metric choices depending on the activity of the session. The user may provide input to change the default performance metric selections.

Other performance metrics other than the metrics shown in FIG. 9 may include the number of total jumps, the number of vertical jumps above a certain height (e.g., 3 inches or more), sprint (e.g., (Which may be a function that multiplies the average power and the time length of the work session, for example), the number of fakes (e.g., a rate above a rate), the number of fakes The number of steps, the number of bursts per minute (e.g., per minute), the number of bursts (e.g., the user exceeds the speed threshold), the work rate, the work rate level (e.g., (For example, the amount of FRSs 206 in one shoe as well as the weight measured by FSR 206 in the user's left shoe) and the FSR (in the user's right shoe) 206) The average duration of sessions, the total session time, the average number of iterations per exercise, the average number of points acquired per session, the total number of points, the amount of calories burned, or other performance metrics. Additional performance metrics may also be used.

In one example, the computer 102 may prompt the user to indicate which metrics to monitor for each session type (e.g., baseball, soccer, basketball, etc.) and store the metrics identified in the user profile. The computer 102 may also prompt the user for desired metrics at the beginning of each session. In addition, the computer 102 may track all of the performance metrics, but may display only the metrics selected for the user in the GUI. For example, the computer 102 may monitor only some base metrics (which may be extended, for example, to change responsiveness and prevent data overload, based on battery life). If the user wishes to review metrics other than what is currently being displayed by the GUI, the user may enter the desired metrics, and accordingly the computer 102 may update the GUI. The metrics being displayed can be changed at any time. Once a session is initiated or another session is initiated, the default metrics may be presented once.

If the computer 102 monitors more metrics than can be displayed, the computer 102 will later enter low-level monitoring (e.g., as resources are consumed with alerts for the user) Through which one metric may ultimately be monitored or no metrics monitored. In one example, the computer 102 may display only basic metrics for the user, either not configured by the user, or until configured by the user. Based on the resources, the computer 102 may reduce what is being displayed to present only basic performance metrics or less metrics. Sensors may continue to monitor other performance metrics, and data from these sensors may be available later (e.g., via a web experience, etc.).

At the start of the session, the computer 102 may calibrate the sensors of the shoe. 10 and 11 illustrate an example of calibrating sensors according to exemplary embodiments. Calibration is performed to verify that the computer 102 is capable of communicating directly or indirectly with the sensors (e.g., sensors 304 and 306), verify that the sensors are functioning properly, and that the sensors have adequate battery life ≪ / RTI > and confirming to build the baseline data. For example, the computer 102 may communicate (e.g., transmit a wireless signal) with the pod sensor 304 and the dispersion sensor 306 included in the user's shoe. The pod sensor and the distributed sensor can reply using the request data. Calibration may also occur at other times (e.g., in the middle of a session, at the end of a session).

During calibration, as shown in displays 1002A and 1002B, the GUI allows the user to continue to measure baseline data (e.g., acceleration, weight distribution, etc.) using pod sensor 304 and dispersion sensor 306, Total body weight, etc.). The calibration may also prompt the user to individually lift the feet, allowing the computer 102 to determine which feet are associated with which sensor data. The dispersion sensor 306 may also be encoded using footwear information, such as, for example, a shoe type, color, size, foot (e.g., left or right) have. As shown in display 1002C, computer 102 (or server 134) may process the response from sensors 304 and 306 and update the GUI to inform the user of any issues and issues , Or whether the calibration was successful. In Figure 11A, for example, the field 1104 shown on the left side of display 1102a includes exemplary displays of battery life as well as connection status (e.g., connected, not connected). Calibration may also occur at certain events, such as detecting the removal of pod 304. Based on the calibration, the display 1102B presents a weight distribution for the user and presents a gauge 1106 that represents the remaining battery life. As part of calibrating the one or more sensors and / or as a separate feature or function, the GUI may be configured to perform a real-time (e.g., To display the performance data. 11B illustrates an exemplary GUI that may be implemented in accordance with one embodiment. As shown in FIG. 11B, display 1102C may provide one or more selectable action parameters for displaying captured values for selectable parameters. For example, a user viewing values for vertical height during a jump can select a " vertical " icon (see icon 1108); Other icons may include quickness, pressure, and / or any other detectable parameters (which may display values for the number of steps per second and / or distance per second). In other embodiments, a plurality of different parameters may be selected for simultaneous display. However, in other embodiments, the parameters need not be selected. Default parameters can be displayed without user input. Data relating to the parameters can be provided to the display 1102C in real time. For example, output 1110 indicates that the user jumps " 24.6 inches ". For example, values may be provided graphically, as represented by graph 112 indicating that the value is 24.6 inches. In certain embodiments, outputting values through, for example, outputs 1110 and / or 1112 may show real-time data, and in other embodiments, at least one of outputs 1110 and 1112 may be indicative of historical values , Desired object values, and / or other values such as a maximum or minimum value. For example, the graph 1112 may vary according to the user's current (e.g., real-time) elevation, but the output 1110 may display the user's highest recorded jump during that session, best. < / RTI > Outputting values or results may be correlated with physical goals and / or actions. For example, if a user jumps a vertical height within a first range, such as between 24 inches and 30 inches, it may receive an indication that it can jump over the bicycle (e.g., see display 1102D in Figure 11B) ). As another example, values for a user's number of steps per second may be displayed in correlation with the actual number of steps of the animals. Those skilled in the art will recognize that other physical objects may be utilized in accordance with the different embodiments.

The computer 102 may prompt the user to initiate a session. 12 illustrates exemplary displays of a GUI that presents information about a session in accordance with exemplary embodiments. Display 1202A may initially prompt the user to check in for a court and start a session. The user may also enter one type of session (e.g., practice, pick-up game, league, half-court game, full code game, three to three, five to five, etc.). Display 1202B may prompt the user to stop and / or terminate the session, as well as inform the user of the duration of the session. Display 1202C may present the user's current performance metrics (e.g., maximum vertical height, slug time, tempo, etc.). To show, the display 1202 may present default or user selected statistics, but a swipe or other gesture may trigger a scroll to display a predetermined number (e.g., portrait versus landscape orientation or groups of three or other numbers of performance metrics based on performance metrics that can be shown on the screen, or pops up other performance metrics.

The computer 102 may also update the display 1202 if a particular event is identified. For example, when a new record (e.g., personal best) is identified (e.g., a new vertical maximum jump), the computer 1202 may update at least the display (e.g., color, (E.g., based on a color change placement for a shoe corresponding to a particular metric), or may cause the user to see that some record (e.g., any metric) has been reached . Display 1202 may also present a button for the user to select to indicate that a record has been achieved. As further described in FIG. 13, display 1202B may facilitate a user to check performance metrics (e.g., to check my stats).

13 illustrates an exemplary display of a GUI that provides a user with information about performance metrics during a session in accordance with exemplary embodiments. Display 1302 includes information about the length of the current or previous session in field 1304 as well as the person playing by the user during the session in field 1310 and various performance metrics for the user in field 1308, , Maximum vertical height, total body time, tempo, etc.). For example, the computer 102, sensor 304 or 306, or other device associated with the first user may associate the first user identifier with the computer 102, sensor 304 or 306 associated with the second user, Device, so that each computer can recognize who is present in the session.

The computer 102 may also process performance metrics, as indicated in field 1306, to assign a playing style to the user. Field 1306 may indicate that the user is " hot streaking " in response to the user determining that they have hustled hard for 30 minutes one after another. The box to the right of field 1306 may indicate alternative play styles. The computer 102 may identify other types of play styles. For example, the computer 102 may assign a 'silent assassin' play style when identifying explosive bursts after periods of inactivity, and if the user does not show little motion or jumping during the session, You can assign a 'cobra' play style if you can assign a vortex 'play style, and if the user shows incessant easy movements with huge bursts and jumps, if the user is fast, stamina good, and peak speed is high' track star 'play style, and assign a' skywalker 'play style if the user has a large vertical jump and a long hang time. In some instances, more than one style may be assigned to a user, with different styles being associated with one individual session compared to the other. Multiple styles can be assigned and displayed for a single session.

The computer 102 may be configured to receive user data from at least one of the pod sensor 304 (e.g., accelerometer data), the dispersion sensor 306 (e.g. force data) You can assign a specific play style. The computer 102 may compare play style data and user data for a plurality of different play styles to determine which of the play styles most closely matches the data. For example, the computer 102 may set performance metric thresholds for each play style. Some play styles may require that at least once during a session the user has jumped to a certain height, ran at a constant speed, played for a certain amount of time, and / or performed other tasks. Other play styles may require the user data to indicate that the user has performed a certain sequence of events (e. G., Fast acceleration with little or at least constant maximum speed). Some play styles may require the user data to indicate that the user has maintained the thresholds for a certain amount of time (e.g., maintained at an average rate above the threshold throughout the game).

In one example, acquisition from a sensor set that includes sensors worn at various locations on the user's body (e.g., accelerometers in the gluteus and / or upper body to identify the "BANGER" play style) A play style may be assigned based on the set of data. In addition, other non-activity data may be used to determine a play style, such as user profile data (e.g., age, key, gender, etc.). For example, some play styles may be gender specific or may be based on ambient conditions (e.g., "POSTMAN" style because the user is playing in rain, sleet, snow, etc.).

A user or group of users can define their own play style based on a combination of metrics and analytics. Users or groups of users can change the name of the play style without changing the associated metrics and analytics. Play styles can be automatically updated. For example, the personal training system 100 may periodically update the play style specified by the system 100. In another example, if the name of the play style is associated with a particular location (e.g., state, city, court), the system 100 may automatically update the play style , This play style is referred to by a different name at another location (e.g., keeping the title consistent with the local lingo).

In Figure 13, the display 1302 allows the user to share the performance metrics with other users and / or post them to the social networking web by selecting the field 1312. [ The user may also enter a message (e.g., " check out my vertical jump ") to carry performance metrics that are in transit. The computer 102 may distribute the performance metric data and messages of the current and / or previous session to the server 134 in response to the user's sharing request. The server 134 may integrate data and / or messages at a social networking website and / or may distribute the data / messages to other desired users or to all users.

Figure 14 illustrates exemplary displays of a GUI that present information about a user ' s vcard in accordance with exemplary embodiments. The vcard may contain information about the user's work history. The vcard may include data on a user's performance metrics, sessions, and awards in individual sessions as well as an average of performance metrics. The vcard statistics display 1402A may indicate running totals and / or top performances by the user as well as the number of points the user has acquired. The activity points may be statistics indicating the physical activity performed by the user. Server 134 and / or computer 102 may award activity points to the user if they achieve certain exercise milestones. The vcard session display 1402B may provide history information for completed sessions as well as indicate the total amount of play time and the number of sessions completed by the user. The vcard session display 1402B may also indicate the session length and session date as well as the play style that the user was viewing per session. The Vcard award display 1402C may indicate the accumulated awards by the user over time. For example, the server 134 and / or the computer 102 may award a flight club award to the user after accumulating the total amount of loft time during the session.

Other exemplary awards include a " king of the court " award for a user with one or more top metrics in a particular court, a " flier mile " award obtained using one mile of flight time, Ankle-breaker " award for people with at least a certain top speed or earliest first step, a " jump king " award for a user with at least a constant vertical jump, A "24/7 baller" award for users who play a certain date on a number of different coats, an "ice man" award if a certain number of rivals follow the user, and a much larger number of rivals (compared to icemen) If you follow the "black mamba" award, "prodigy" for young players who achieve a certain performance metric level Awards may be one, or one constant for the older players achieve level performance metrics "old school". Other types of awards may also be awarded.

15 shows an exemplary user profile display of a GUI that presents a user profile in accordance with the illustrative embodiments. The user profile display 1502 may present information about the user, such as key, weight, and position, play style (e.g., "The Silent Assassin "), It may also indicate one or more types of shoes worn by the user. The user profile display 1502 may present information about the activities of the user and may control the user to share such information with other users For example, the user can specify which other users can view the user profile information, or all of the user's information can be made accessible to any other user. Information about the user that may be presented in the user profile display 1502 in accordance with the illustrative embodiments < RTI ID = 0.0 > It represents gajeok the like.

17-20 illustrate additional exemplary displays of a GUI for displaying performance metrics to a user in accordance with exemplary embodiments. At the end of the session, at the end of the session, or both, the computer 102 may communicate with at least one of the pod sensor 304, the distributed sensor 306, or other sensor to generate performance metrics by acquiring data . While capturing the data, as an example of a GUI, such as the highest vertical height at display 1702A, the total hour at the display 1702B, the tempo statistics at display 1702C, and the points at display 1702D, The displays are shown in Fig. Scroll bar 1704 represents the progression in transferring data from the sensors to the computer 102.

18A shows an exemplary user profile display of a GUI that presents a user profile in accordance with the illustrative embodiments. The computer 102 may track information about the user's vertical leap during a workout session as well as when the jump took place during the session. The computer 102 may determine the user's vertical leap based on the amount of loft time between when the user's feet leave the ground and when the first foot of the user's feet next touches the ground. The computer 102 may process the accelerometer data from the pod sensor 304 and / or when the data from the dispersion sensor 306 falls off both feet of the user and then the first foot of both feet touches the ground Can be determined. The computer 102 may also use the jump data and the pod sensor 304 to determine that the user has actually jumped and landed, rather than merely lifting a foot or catching a basketball rim on the ground for a predetermined amount of time, The user data from the sensor 306 can be compared. The jump data may be data generated to indicate how the force profile and / or the acceleration profile look for the person who actually jumped. The computer 102 may use a similarity metric when comparing user data with jump data. If the user data is not sufficiently similar to the jump data, the computer 102 may determine that the user data is not a jump and may not include user data when determining the user's performance metrics (e.g., top level or average vertical leap) .

If the computer 102 determines that the user data is for a jump, the computer 102 processes the user data as well as other metrics to determine the vertical jump, the vertical jump time, the average vertical jump height of the user, Maintain a running total of time, and / or determine which feet are dominant. The computer 102 may identify the dominant foot based on force data and / or accelerometer data associated with each shoe. Force data and / or accelerometer data may include timing information so that the computer 102 can compare the events of each shoe. The computer 102 may process force data and / or accelerometer data as well as timing data to determine which feet were on the ground prior to the jump. The computer 102 may identify the dominant foot based on the foot being held on the ground when the user jumps and / or the foot associated with the user's maximum vertical jump. The computer 102 may also present a leap display 1802A that includes the user's top five vertical leaps and indicates which foot or both feet are held on the ground just before the jump. The jump display 1802A may display any desired number of highest hopes that may be designated by the user or set by the system 100. [ The number of top-level jumps can be based on the amount of time. For example, the jump display 1802A may show the top five leaps over the entire time of the session, the top five leaps in the latest predetermined minutes or percent of the total session time, or the type of session A pick-up basketball game). The hop display 1802A or 1802B may also display a vertical jump over durations other than by session, and may include, for example, a month, week, always, or other time range. The jump display 1802A or 1802B may also present other information regarding the total number of jumps, the cumulative residence time, the average residence time, the residence time corresponding to the highest vertical jump, or the jump. The orientation of the computer 102 may control which of the hop display 1802A and the jump display 1802B is currently being presented. For example, if the user rotates the computer 102 (e.g., 90 degrees) to display the jump display 1802A (e.g., face photo orientation) Landscape Photo Orientation). The user may change from presenting the jump display 1802B by rotating the computer 102 in the opposite direction to presenting the jump display 1802A. Similarly, in other examples described herein, rotation of the computer 102 may be used to alternate between displays.

In another example, jump display 1802B may display a user's jump in chronological order throughout the session, and may indicate the time at which each jump occurred, as well as the vertical height at each jump during the session. The jump display 1802B may also display the personal best vertical leap of a user previously set from the previous session or during the session. In one example, the personal best line (s) can be created during the session by stepping through the steps, adding new lines of new bests to supplement existing lines and showing lines for new best-occurring sessions (e.g., "new best" Can be changed. The computer 102 may also be able to display the personal best line by replacing the previous personal best line (e.g., in one color) with a new line (e.g., in a new personal best color that may be used during a session in which the personal best has occurred) 1802B. Also, the color may change as the user's personal best improves (e.g., you have jumped more than 85% of the other users) to indicate the ability to compare to other users.

The jump display 1802B may include a performance zone (e.g., a dunk zone) that indicates when a user can perform an action (e.g., when the basketball can be dunked). The computer 102 may tailor the performance zone to the user based on the physical attributes of the user (e.g., key, arm length, leg length, torso length, body length, etc.). For example, a dunk zone may require a higher vertical jump for a taller user than a taller user.

The performance zone may correspond to a range of values, a minimum value, or a maximum value. One or more values may be correlated with the user being able to perform a particular action if the user's motional performance is expected. For example, a performance zone may be the minimum vertical leap that allows a user to dunk a basketball. The user does not need to actually perform an action (e.g., a dunkshot), but instead the performance zone can direct the computer 102 to calculate when the user is able to perform the action.

Based on the sensors obtained from one or more sessions, the computer 102 may provide a recommendation to help the user achieve the performance zone. For example, analysis of the computer 102 of sensor data associated with a jump by a user may allow more feedback to the user to improve the ability to enter the dunk zone or improve personal bests in rare air . For example, the computer 102 may process sensor data to recommend that the user adjusts any body parts to increase the user's ability to jump. In another example, the computer 102 may suggest that the user obtains additional acceleration of the preceding foot and more pressure on the following foot by increasing the upper body acceleration.

The performance zone can be constructed for any desired movement motion. Exemplary performance areas may correspond to a minimum pressure amount measured by the dispersion sensor 306, a maximum pressure amount, or a pressure or pressure within a certain range. Other exemplary performance zones may correspond to the minimum amount of acceleration measured by the sensor 306, the maximum amount of pressure, or pressure or pressures within a certain range. Also, the performance area may be based on a combination of different measurements or measurement sequences. For example, the performance area may specify a certain amount of acceleration, then at least a certain amount of loft time, and then at least a certain amount of measuring pressure.

In gymnastics, for example, acceleration and body rotation can be monitored. For example, it may be desirable for a gymnast to have a certain amount of body rotation while falling from a two-stage parallel bar. If the gymnast rotates too quickly or slowly, he may not be able to adjust his body to the proper position when landing. The performance zone may be a " spin zone " that specifies minimum and maximum rotational accelerations, and the computer 102 may monitor over-rotation and under-rotation to provide gymnasts with feedback as to whether they are in the performance zone during landing . The computer 102 may increase or decrease the rotation by the user by providing recommendations for adjusting the amount of acceleration by adjusting certain body parts while landing. Performance zones can be established for other sports (eg, track and field, golf, etc.).

The computer 102 may tailor the performance zone based on the feedback received from the user. In one example, the computer 102 may receive input from a user indicating which vertical-leap action the user may perform, and the computer 102 may determine that the user is in the performance zone You can adjust the minimum vertical leap required to be present. The computer 102 may award one or more activity points to the user for what is in the performance zone as well as the amount of time the user has maintained his or her performance in the performance zone. The computer 102 may also determine the amount of calories consumed by the user while in the performance area.

The computer 102 may present information indicating the rate of activity points obtained by the user until the end of the duration of the exercise session. 18B shows an exemplary active point display 1804 in accordance with the illustrative embodiments. The computer 102 may determine the activity point and award it to the user during a workout session. To do so, the computer 102 may compare the measured user capabilities with any number of metrics to award activity points. For example, the computer 102 may award a predetermined number of activity points for a predetermined distance to jump. Line 1806 of the active point display 1804 may represent the rate at which the user acquires the active points at various points during the exercise session and line 1806 may indicate that the user has accumulated activity points Line 1808 may represent an average rate at which a user accumulates active points during this particular session and line 1812 may represent an all-time best rate for accumulating active points . In one example, line 1806 may represent how many activity points the user accumulates per minute or other time interval (e.g., milliseconds, seconds, 10s, 30s, etc.). The activity point display 1804 also indicates other matrices such as averages, including, but not limited to, the average rate of accumulated activity points for a predetermined number of previous sessions (e.g., the last three sessions) Such as a line to be displayed on the screen. In addition, the lines may have different colors. Once a new historical best has been established, the activity point display 1804 can be flashing or present an indication of achievement.

The computer 102 can categorize activities performed by the user as well as a percentage of time during a workout session in which the user was in a particular category and present this information to the user at the activity point display 1804. [ For example, the activity point display 1804 may include a percentage of time during which the user was in the idle state, a percentage of time the user moved left and right, a percentage of time the user was walking, a percentage of time the user was running, Percent, and the percentage of time the user has jumped. Instead of or in addition to the categories shown in the activity point display 1804, other categories may also be presented. In addition, the activity point display 1804 can display the amount of time accumulation as well as the time percentage for each of these statistics. The computer 102 can determine the amount of activity points that the user has acquired while in the respective category as well as the total amount of activity points acquired during the workout session and present this information via the activity point display 1804. [ In one example, the computer 102 may determine that for a total of 250 activity points, the user obtains 25 activity points during walking, 75 activity points during walking, and 150 activity points during sprinting. The computer 102 may also determine a calorie consumption rate per category instead of or in addition to the activity point.

The computer 102 may also display performance metric data based on measurements of the user's hustle and tempo. Figure 19 shows an exemplary hustle display 1902A-B and a tempo display 1904A-B in accordance with the illustrative embodiments. The Hustle display 1902A can present the user's hustle over time as well as other performance metrics. For example, the computer 102 may track a variety of performance metrics, including total running of jumps, sprinting, fakes, and jump restores (e.g., the shortest amount of time between consecutive jumps) during a session, Hustle can be a function of these metrics. Referring to the hustle display 1902B, the computer 102 may divide the hustle into three categories: upper, middle, and lower. More or fewer categories of hustle can be defined. Hustle display 1902B may also present line 1906 on a line 1906 indicating the average hustle level until the end of the session.

Referring to the tempo display 1904A, the computer 102 may present information about the user's tempo during a session. The tempo may be based on the rate of steps taken by the user per time interval (number of steps per minute). Categories may be defined by a range of step rates. For example, walking may be defined as 30 steps per minute, jogging may be defined as 31 to 50 steps per minute, running may be defined as 51 to 70 steps per minute, and sprinting may be defined as 71 steps per minute Or more. Referring to the tempo display 1904B, the computer 102 may indicate how often the user was in each category during the session. For example, the tempo display 1904B may indicate what percentage of time the user was in each category (e.g., 12% sprint). The tempo display 1904 may also indicate the user's fastest step number per second (e.g., 4.1 steps per second) or any other time interval, the total number of steps, the total number of sprintings, and the like.

The computer 102 may also notify the user of the accumulated activity points as well as the activity points obtained during the workout. Figure 20 illustrates an exemplary active point display of a GUI that informs a user of points obtained during a session in accordance with exemplary embodiments. The computer 102 may process the data taken during the workout session to award points to the user. The points can track user activity across different sports and workout sessions. Point displays 2002A-B may allow the user to determine points obtained by date range, workout session, or other range.

The computer 102 may also track user-defined actions. Figure 21 illustrates exemplary freestyle displays of a GUI that provide information about freestyle user behavior in accordance with exemplary embodiments. In the freestyle display 2102A, the computer 102 may prompt the user to begin an operation for tracking. The user can perform any desired type of operation, hereinafter referred to as a " freestyle " operation. In the freestyle display 2102B, the computer 102 may display the foot used for the jump during the user's vertical leap, skip time, and freestyle operation. Freestyle display 2102B may display performance metrics that are deemed appropriate by system 100, user, or both. For example, the performance metrics may be a vertical jump, a head time, a foot as shown in display 2102B, a weight distribution as shown in display 2102C, or both through user cycling. In the freestyle display 2102C, the computer 102 may display the weight distribution measured by the dispersion sensor 306. [ The user can also review the weight distributions over time to determine how the user's weight distribution can affect the user ' s motion or jumping ability. For example, the user may move between the displays 2102A-C by sliding his / her finger across the display.

In addition to monitoring the user's performance during the session, the computer 102 may assist the user in improving the athletic skill. FIG. 22 shows exemplary training displays 2202A-B that present user-selectable training sessions in accordance with the illustrative embodiments. Training sessions may guide the user through an action set that is designed to improve a user's athletic performance. Exemplary training sessions include, but are not limited to, shooting exercises, all around the world games, buzzer beater games, pro-player games, basic games, field hours games, continuous crossover games, free throw balance ) Game, a signature move game, a professional combat game, and a horse-riding game. These training sessions are further described in Figures 23-26. For example, the computer 102 may have a touch screen that allows the user to scroll and select among the training sessions shown in Figures 23-26.

Figures 27-30 illustrate display screens for GUIs for a basketball shooting training session in accordance with the illustrative embodiments. In Figure 27, the training display 2702 presents the user with information about the last session (e.g., free throw, three-point shot, and shooting percentage for a jump shot) and may initiate a new session for the user . The computer 102 may monitor touches on the pressure sensitive display screen to track makes and misses. To do this, the computer 102 may monitor how many fingers have been used to distinguish between basketball shots. For example, as shown in FIG. 28, three fingers may be used to indicate a three-point shot in basketball, two fingers may be used to indicate a two-point shot, Only one finger can be used. A tap of one or more fingers on the display screen may indicate a shot success and a swipe of one or more fingers across a portion of the display screen may indicate a shot failure. In another example, a down swipe across the display screen of the computer 102 using one or more fingers may indicate success and an up swipe using one or more fingers may fail You can tell.

The computer 102 may process user input to determine the number of fingers used as well as between tabs and swipes. The computer 102 may determine the amount of area of the display screen covered by the fingers when tapping and / or swiping the display screen to distinguish between one, two, or three fingers. The computer 102 may also determine the duration of the touch and whether the area of the display screen initially touched by the user to be distinguished between the tap and swipe is different from the area of the display screen at the end of the touch. At the end of the session, as shown in Figure 29, the training display 2702 can display information about success and failure to the user. The training display 2702 may display success / failure for each shoot type as well as a total for all shot types. For example, training display 2702A may display successes and failures for free throws, and training display 2702B may display successes and failures for jump shoots. The training display 2702B can synthesize two and three point basketball shots, display successes and failures together, or separate displays can present success and failure for each shoot type.

30 illustrates exemplary displays for a GUI that provides a user with information about a shooting practice session in accordance with exemplary embodiments. The shot summary display 3002A allows the user to select all shots or a particular shot type to obtain information on a percentage (e.g., 55.6%) of successful shots, a streak of how many shots have succeeded successively, Quot; sweet spot " for the user. A sweet spot may indicate a vertical jump in which a user's shooting percentage (e.g., percent of shoot success) exceeds a predetermined amount (e.g., 50%). The computer 102 may process data from the pod sensor 304 and / or the distributed sensor 306 to provide user information about success and failure through the GUI. This information can inform the user how the jump height affects shoot performance, including the average vertical jump for success and failure. The shot summary display 3002B may notify the user as to which foot was used when jumping as part of the shot along with the height of the vertical jump, and whether the shot was successful or failed. The shot summary display 3002C can provide information to the user about the success and failure of the three-point shot.

The shot summary display 3002 can provide statistical information to the user as to how much balancing shots are made and how their balance affects the shot by indicating how many off-balance shots have been made. The computer 102 may determine the balance based on the weight distribution measured by the dispersion sensor 306 while the user is shooting. If the weight is distributed relatively evenly between the user's feet (i.e., within a certain threshold), the computer 102 may identify that the shot is balanced. If the body weight is relatively evenly distributed between the user's feet (i.e., outside of a certain threshold), the computer 102 may identify that the shot is unbalanced. The shot summary display 3002C can also provide feedback to the user about balances and tips to correct any issues with an unbalanced weight distribution. For example, field 3004 indicates how many shots were made when the user's weight was balanced, field 3006 indicates how many shots were made when the user's weight was off-balanced, can do.

In one example, the computer 102 may receive and process data generated by the force sensor to determine the weight distribution during the performance of the exercise task (e.g., making a jump shot at the basketball). The computer 102 may process a user input that indicates successful completion of the motion task (e.g., make a shoot). The computer 102 may associate the detected weight distribution prior to user input indicating successful completion of the motion task. For example, the computer 102 may process sensor data to identify actions consistent with a basketball shot and may detect a takeoff when the user jumps during a jump shot, a period prior to take-off, a landing, and a period after landing The weight distribution that initiates < / RTI > The computer 102 may monitor the weight distribution during these periods. At a later time (e.g., a second or subsequent jump shot), the computer 102 processes additional user input indicating an unsuccessful completion of the motion task (e.g., a miss shoot) . The computer 102 may associate the detected weight distribution at a pre-user input time with an unsuccessful completion of the motion task. After or during the exercise session, the computer 102 may present information to the user about the weight distribution and how such distribution has affected the ability of the user to complete the exercise task.

The GUI can also provide the user with incentives to act on the basketball shoot. 31 illustrates an exemplary display of a GUI that informs the user of shooting milestones in accordance with exemplary embodiments. The milestone display 3102 may notify the user of one or more shoot thresholds and how many shots the user has succeeded. For example, the milestone display 3102 may indicate that the user has succeeded in shooting 180 times, whereby the user has reached the amateur state and needs to succeed an additional 392 shots to achieve the next state level.

As part of the training to improve the skill of the user, the computer 102 may enable the user to perform actions similar to those used by the professional athlete. Figure 32 illustrates exemplary signature move displays for a GUI that prompts a user to perform training and imitate a signature of a pro athlete according to exemplary embodiments. In addition to professional athlete signature movements, the user can create and share signature movements with other users.

In one example, the user may enter a search query into the signature move display 3202A to initiate a search for a desired professional athlete. The computer 102 may forward the search query to the server 134, which may reply using the query results. The server 134 may provide the computer 102 with suggested signature moves for display before the user enters a search query. As shown in signature move display 3202A, computer 102 may display different signature moves for user selection. Upon selection of a particular action, the signature move display 3202B may present the video of the signature move and may provide the performance metrics of the pro athlete for this move. For example, the computer 102 may query the server 134 for signature move data in response to a user ' s selection to generate a signature move display 3202B. The signature move data may include data from the pro-athlete's pod sensor 304 and the dispersive sensor 306 that are responsible for the signature move. The user may attempt to imitate the signature move and the computer 102 may process the user data to indicate the accuracy of the imitation.

After the completion of the attempt of the signature move, the computer 102 can notify the user how well it successfully imitated this move. To identify a match, the computer 102 may compare the signature move data with data obtained from the pod sensor 304 and / or the distributed sensor 306 to determine whether the two are similar. The computer 102 monitors how long it takes the user to complete the signature move, the user's vertical leap, the user's lap time, the user's tempo, or other information, and compares this data with the corresponding data from the professional athlete . As shown in the signature move display 3202C, the computer 102 may also indicate how accurately the user has imitated the signature movement of a professional athlete. The accuracy can be based on a combination of how each of the performance metrics is similar to the athlete performance metric. The computer 102 may weigh more constant metrics than the rest or weigh each metric evenly. For example, the signature move data may provide information about three different metrics, and may compare the user's data with each of the three metrics. The computer 102 may determine the ratio of the user's performance metric to the metric of the pro-player and may identify the match if this ratio is above a threshold (e.g., 80% or greater). Also, the accuracy can be determined in other ways.

In one example, the computer 102 may be configured to determine the motion of a user (e.g., a pro athlete) measured by a first user (e.g., a pro athlete) performing signature move data corresponding to acceleration and a motion task sequence Force measurement data. The computer 102 may receive and process user data generated by at least one of the sensors 304 and 306 by monitoring a second user attempting to perform the same motion task sequence. The computer 102 may then generate a similarity metric that indicates how similar the user data is to the signature move data.

The computer 102 may provide data to the user about performance metrics from other users and / or professional athletes for comparison as part of the social network. 33 illustrates exemplary displays of a GUI for searching other users and / or professional athletes for comparison of performance metrics in accordance with the illustrative embodiments. As shown in display 3302A, computer 102 may communicate with server 134 to identify a user's professional athlete or friends. Each individual may be associated with a unique identifier. For example, you can choose to add friends or pros as shown in the GUI display on the left. If the user chooses to add a friend / pro athlete, the user may enter a search query into the computer 102 for communication to the server 134, which, as shown in the display 3302B, And / or professional athletes. ≪ / RTI > As shown in display 3302C, a user can establish a user profile so that computer 102 can automatically load these individuals to identify friends and / or a preferred professional athlete.

The computer 102 may share data with friends and / or present data posted on a social networking website. In Figure 34, for example, the display 3402A provides information for sharing, including points, a highest vertical height, a total duration, and a top tempo. For example, display 3402B provides a side-by-side comparison of the performance metrics of the user and identified buddies. In one example, the server 134 may store performance metrics data for each user, and may transmit and receive data with the other user's computer 102 upon request.

35 illustrates exemplary displays for comparing a user ' s performance metrics with other individuals in accordance with exemplary embodiments. For example, display 3502A may provide a leaderboard for comparison of a user's performance metrics to friends, selected professional athletes, or all other users, including professional athletes. Exemplary leaderboards may be for maximum vertical height, top tempo, total playing time, total played games, total earned awards, or other performance metrics. Display 3502B allows the user to view individuals that indicate whether performance metrics are within or out of a performance zone (e.g., a dunk zone). The computer 102 may also allow the user to compare with a particular group (e. G., Friends) or all users.

While the foregoing description has been provided primarily with respect to basketball, the above-described examples may be applied to other sports as well as individual sports.

36 illustrates a flow diagram of an exemplary method for monitoring a user performing physical activity in accordance with exemplary embodiments to determine whether the physical data obtained is within the performance area. The method of FIG. 36 may be implemented by a computer, such as, for example, computer 102, server 134, distributed computing system, cloud computer, other devices, and combinations thereof. The order of steps shown in FIG. 36 may be rearranged, additional steps may be included, some steps may be eliminated, and some steps may be repeated one or more times. The method may begin at block 3602.

At block 3602, the method may include processing an input that specifies a user attribute. In one example, the computer 102 may prompt the user to enter for one or more user attributes. Exemplary user attributes may include key, weight, arm length, torso length, leg length, blade width, and the like. In one example, the user can specify their body length. The body length may be a measure of how high the user can reach one of the hands while keeping the opposite feet on the floor.

At block 3604, the method may include adjusting the performance zone based on user attributes. In one example, the computer 102 may adjust the performance zone as to how high the user should jump to dunk the basketball based on at least one of the user key, arm length, torso length, and leg length. For tall users, the performance zone can specify a lower minimum jump height to dunk the basketball compared to the minimum jump height required for a tiny user to dunk or reach the basketball goal.

At block 3606, the method may include receiving data generated by the sensor. In one example, the computer 102 may receive data from at least one of the sensors 304 and 306 during a workout session in which the user performs one or more jumps. As described above, the data may be a raw signal or data performed by sensors prior to transmission to the computer 102.

At block 3608, the method may include determining whether data is in the performance area. In one example, the computer 102 processes the data received from at least one of the sensors 206 and 304 so that any jump performed by the user meets or exceeds the minimum jump height of the performance zone to fit the attributes of the user Or not. For example, the computer 102 may determine that a minimum vertical leap of 30 inches based on user attributes would be required for the user to dunk the basketball. The computer 102 may process the data received from at least one of the sensors 304 and 306 to determine whether any jump performed by the user has met or exceeded 30 inches. To determine the height of the vertical jump, the user 102 processes the data generated by at least one of the accelerometer and the force sensor, and compares this data with the jump data to determine whether this data It is possible to determine that it is in line with the jump (rather than simply lifting the foot from the ground for the determined amount of time). The computer 102 may process data generated by at least one of the accelerometer and the force sensor to determine a jump time, a landing time, and a loft time in response to such a comparison. The computer can calculate the vertical jump based on the loft time.

At block 3610, the method may include outputting this determination. In one example, the computer 102 may output a determination of whether the user was in the performance area. The output can be heard or viewed. The computer 102 may provide an output as soon as the user is in the performance zone, or may output the determination after a period of time (e.g., after a workout). The method may then end or return to any of the steps described above.

Figure 37 illustrates a system that can be used to facilitate the sale of products with embedded or attached sensors in accordance with one embodiment of the present invention. Products 3702a, 3702b, and 3702c may be implemented using footwear, tops, shorts, or other apparel articles. Products 3702a, 3702b, and 3702c each have built-in or attached sensors 3704a, 3704b, and 3704c. In various embodiments, sensors 3704a, 3704b, and 3704c may be implemented using any of the sensors described above or a combination of sensors. In an exemplary embodiment, products 3702a, 3702b, and 3702c are shoes, and sensors 3704a, 3704b, and 3704c are force sense resistor (FSR) sensors 206, as shown in Figure 3a . The performance data generated by sensors 3704a, 3704b, and 3704c may be sent to performance applications 3706a, 3706b, and 3706c hosted in computer units 3708a, 3708b, and 3708c. Applications 3706a, 3706b, and 3706c may be configured to convert performance data into performance metrics. Exemplary performance metrics include vertical jump height, skidding time, and activity points. A synchronization and scoring application 3710 may be configured to receive data from performance applications 3706a, 3706b, and 3706c to generate a leaderboard. The leaderboards may be displayed on one or more large display screens 3712. Computing units 3708a, 3708b, and 3708c may be connected through a local area network 3714. [ The local area network 3714 may be coupled to the wide area network 3716.

Some embodiments may use the control computer 3720 to control the collection of data and the creation of a leaderboard. In another embodiment, the computing units 3708a, 3708b, and 3708c may be configured to transmit and receive data. The central database 3722 may be used to store performance data and / or performance metrics in the center. Alternatively, performance data and / or performance metrics may be stored in computing units 3708a, 3708b, and 3708c.

The system shown in FIG. 37 can be used to encourage potential customers to write products once and compete with each other. The results of the competition may be displayed on the display screen 3712, which may be located close to the displayed products 3718. [ This configuration also allows customers to view competitive situations or results that utilize the products while customers are also investigating the products.

Figure 38 illustrates a method that can be used to facilitate the sale of products with built-in or attached sensors in accordance with an embodiment of the present invention. At block 3082, the user is urged to perform physical activities while using the footwear provided for sale at the store. Footwear may include one or more attached or built-in sensors. The performance application 3706 may prompt the user to perform physical activities by display commands or illustrations for the display of the computing unit 3708. [ At block 3804, performance data is received at the computing unit from at least one sensor embedded in the footwear. Performance data may be received over a wireless connection, such as a Bluetooth connection. After receiving the performance data, the processor may determine performance metrics at block 3806. The processor may be part of computing unit 3708. Block 3806 may include transforming the data received from the sensor into performance metrics such as vertical hop height, headroom time, activity points, and number of iterations over a predetermined time period.

Next, at block 3808, the processor may determine an activity score from the performance metric. An activity score can show how a user is ranked among a number of different users. For example, an activity may correspond to a percentile ranking. At block 3810, a leaderboard may be generated based on activity scores for a plurality of users performing physical activities while using footwear provided for sale at a store. Block 3810 may include translating percentile scores into rankings between users who are currently engaged in physical activities or who have recently participated in physical activities. For example, three users may perform physical activities and rank at the 95th, 63rd, and 21st percentiles. Block 3810 may convert such data to first, second, and third places and display it on the leaderboard. Next, at block 3812, the leaderboard may be displayed on a viewable display within a store near the display of footwear provided for sale.

Various other features and devices may be used in accordance with the aspects described herein. Additional or alternative features may also be incorporated into the device and / or associated applications.

conclusion

While the invention has been described with respect to specific examples including presently preferred modes of practicing the invention, those skilled in the art will appreciate that there are numerous variations and permutations of the systems and methods described above. For example, various aspects of the present invention may be used in different combinations, and various different subcombinations of aspects of the present invention may be used together in a single system or method without departing from the present invention. In one example, the software and applications used herein may be embodied as computer-readable instructions stored on a computer-readable medium. In addition, various elements, components, and / or steps described above may be altered, reordered, or omitted, and additional elements, components, and / or steps may be added without departing from the invention. As a result, the product competitiveness can be improved.

Claims (20)

As a method,
(a) urging a user to perform physical activities while using footwear provided for sale at a store;
(b) receiving, at the computing unit, performance data from at least one sensor embedded in the footwear;
(c) determining performance metrics from the performance data at a processor;
(d) determining an activity score from the performance metrics in a processor; And
(e) creating a leaderboard based on activity scores for a plurality of users performing the physical activities while using footwear provided for sale at the store
/ RTI > 2. The method of claim 1, wherein one of the performance metrics comprises a vertical leap height. 2. The method of claim 1, wherein one of the performance metrics includes an air time. 2. The method of claim 1, wherein one of the performance metrics includes activity points. 2. The method of claim 1, wherein one of the performance metrics comprises a repetition number of physical activities. 6. The method of claim 5, wherein one of the performance metrics includes a number of vertical jumps exceeding a certain height within a predetermined time period. The method according to claim 1,
(f) displaying the leaderboard on a display visible at a store close to a display of footwear provided for the sale
≪ / RTI > The method according to claim 1,
Receiving the performance data from the wrist wear sensor at a computer device
≪ / RTI > The method according to claim 1,
Receiving performance data from the at least one image capture sensor at a computer device
≪ / RTI > 10. The method of claim 9, wherein the image pickup sensor comprises an IR transceiver. The method according to claim 1,
Receiving performance data at a computer device from at least one mobile terminal
≪ / RTI > The method according to claim 1,
Receiving activity scores from other computer devices
≪ / RTI > The method of claim 1, wherein the processor in (c) and the processor in (d) are the same processor. As an apparatus,
At least one processor; And
At least one memory for storing computer executable instructions
Wherein the computer-executable instructions, when executed by the at least one processor, cause the device to:
(a) urging a user to perform physical activities while using footwear provided for sale at a store;
(b) receiving performance data from at least one sensor embedded in the footwear;
(c) determining performance metrics from the performance data;
(d) determining an activity score from the performance metrics; And
(e) creating a leaderboard based on activity scores for a plurality of users performing the physical activities while using footwear provided for sale at the store
To perform the operation. 15. The apparatus of claim 14, wherein one of the performance metrics includes a vertical hop height. 15. The apparatus of claim 14, wherein one of the performance metrics comprises a time of flight. 15. The apparatus of claim 14, wherein one of the performance metrics includes activity points. 15. The apparatus of claim 14, wherein one of the performance metrics comprises a repetition number of physical activities. 17. A non-transitory computer readable medium storing computer executable instructions, the computer-executable instructions, when executed,
(a) urging a user to perform physical activities while using footwear provided for sale at a store;
(b) receiving performance data from at least one sensor embedded in the footwear;
(c) determining performance metrics from the performance data;
(d) determining an activity score from the performance metrics; And
(e) creating a leaderboard based on activity scores for a plurality of users performing the physical activities while using footwear provided for sale at the store
The computer program product comprising: a computer readable medium; 20. The non-transitory computer readable medium of claim 19, wherein one of the performance metrics comprises a vertical hop height.

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