US20120323496A1 - Tracking of User Performance Metrics During a Workout Session - Google Patents

Tracking of User Performance Metrics During a Workout Session Download PDF

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Publication number
US20120323496A1
US20120323496A1 US13/399,555 US201213399555A US2012323496A1 US 20120323496 A1 US20120323496 A1 US 20120323496A1 US 201213399555 A US201213399555 A US 201213399555A US 2012323496 A1 US2012323496 A1 US 2012323496A1
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US
United States
Prior art keywords
user
computer
sensor
display
performance zone
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US13/399,555
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English (en)
Inventor
Brandon S. Burroughs
Richard J. Engelberg
Jordan M. Rice
Bob Sweet
Aaron B. West
Wade Convay
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R/GA
Nike Inc
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Nike Inc
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Priority to US13/399,555 priority Critical patent/US20120323496A1/en
Priority to US13/538,832 priority patent/US20130024248A1/en
Assigned to NIKE, INC. reassignment NIKE, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BURROUGHS, BRANDON S., RICE, JORDAN M., SWEET, BOB, WEAST, AARON B., ENGELBERG, RICHARD J.
Assigned to NIKE, INC. reassignment NIKE, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: R/GA
Assigned to R/GA reassignment R/GA ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CONVAY, WADE
Publication of US20120323496A1 publication Critical patent/US20120323496A1/en
Assigned to R/GA reassignment R/GA ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ROOKE-LEY, JOSHUA M.
Abandoned legal-status Critical Current

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    • A63B2230/00—Measuring physiological parameters of the user
    • A63B2230/04—Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations
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Definitions

  • One or more aspects describe systems, apparatuses, computer readable media, and methods for tracking performance metrics of a user during an exercise session.
  • the systems, apparatuses, computer readable media, and methods may be configured to process input specifying a user attribute, adjust a performance zone based on the user attribute, receive data generated by at least one of an accelerometer and a force sensor, determine whether the data is within the performance zone, and output the determination.
  • the systems, apparatuses, computer readable media, and methods may include receiving data generated by a sensor (e.g., an accelerometer, a force sensor, temperature sensor, heart rate monitor, etc.) as a user performs an athletic movement, and comparing the data with comparison data of a plurality of playing styles to determine a particular one of the playing styles most closely matching the data.
  • a sensor e.g., an accelerometer, a force sensor, temperature sensor, heart rate monitor, etc.
  • the systems, apparatuses, computer readable media, and methods may include receiving data generated by a force sensor indicating a weight distribution during a performance of a plurality of exercise tasks, processing first input indicating successful completion of an exercise task, associating a first weight distribution at a time preceding the first input with the successful completion of the exercise task, processing second input indicating unsuccessful completion of the exercise task, and associating a second weight distribution at a time preceding the second input with the unsuccessful completion of the exercise task.
  • the systems, apparatuses, computer readable media, and methods may include receiving signature move data corresponding to acceleration and force measurement data measured by a first user performing a sequence of events, receiving player data from at least one of an accelerometer and a force sensor by monitoring a second user attempting to perform the sequence of events, and generating a similarity metric indicating how similar the player data is to the signature move data.
  • the systems, apparatuses, 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 to determine that the data is consistent with a jump, processing the data to determine a lift off time, a landing time, and a loft time, and calculating a vertical leap based on the loft time.
  • FIGS. 1A-B illustrate an example of a personal training system in accordance with example embodiments.
  • FIGS. 2A-B illustrate example embodiments of a sensor system in accordance with example embodiments.
  • FIGS. 3A-B illustrate an example of a computer interacting with at least one sensor in accordance with example embodiments.
  • FIG. 4 illustrates examples of pod sensors that may be embedded and removed from a shoe in accordance with example embodiments.
  • FIG. 5 illustrates example on-body configurations for a computer in accordance with example embodiments.
  • FIGS. 6-7 illustrates example various off-body configurations for a computer in accordance with example embodiments.
  • FIG. 8 illustrates an example display of a graphical user interface (GUI) presented by a display screen of a computer in accordance with example embodiments.
  • GUI graphical user interface
  • FIG. 9 illustrates example performance metrics for user selection in accordance with example embodiments.
  • FIGS. 10-11 illustrate an example of calibrating sensors in accordance with example embodiments.
  • FIG. 12 illustrates example displays of a GUI presenting information relative to a session in accordance with example embodiments.
  • FIG. 13 illustrates an example display of a GUI providing a user with information about their performance metrics during a session in accordance with example embodiments.
  • FIG. 14 illustrates example displays of a GUI presenting information about a user's virtual card (vcard) in accordance with example embodiments.
  • FIG. 15 illustrates an example user profile display of a GUI presenting a user profile in accordance with example embodiments.
  • FIG. 16 illustrates a further example of user profile display presenting additional information about the user in accordance with example embodiments.
  • FIGS. 17-20 illustrate further example displays of a GUI for displaying performance metrics to a user in accordance with example embodiments.
  • FIG. 21 illustrates example freestyle displays of a GUI providing information on freestyle user movement in accordance with example embodiments.
  • FIG. 22 illustrates example training displays presenting user-selectable training sessions in accordance with example embodiments.
  • FIGS. 23-26 illustrate example training sessions in accordance with example embodiments.
  • FIGS. 27-30 illustrate display screens for GUIs for a basketball shooting training session in accordance with example embodiments.
  • FIG. 31 illustrates an example display of a GUI informing the user of shooting milestones in accordance with example embodiments.
  • FIG. 32 illustrates example signature moves displays for a GUI prompting a user to perform a drill to imitate a professional athlete's signature move in accordance with example embodiments.
  • FIG. 33 illustrates example displays of a GUI for searching for other users and/or professional athletes for comparison of performance metrics in accordance with example embodiments.
  • FIGS. 34-35 illustrate example displays for comparing a user's performance metrics to other individuals in accordance with example embodiments.
  • FIG. 36 illustrates a flow diagram of an example method for determining whether physical data obtained monitoring a user performing a physical activity is within a performance zone in accordance with example embodiments.
  • FIG. 1A illustrates an example of a personal training system 100 in accordance with example embodiments.
  • Example system 100 may include one or more electronic devices, such as computer 102 .
  • Computer 102 may comprise a mobile terminal, such as a telephone, music player, tablet, netbook or any portable device.
  • computer 102 may comprise a set-top box (STB), desktop computer, digital video recorder(s) (DVR), computer server(s), and/or any other desired computing device.
  • computer 102 may comprise a gaming console, such as for example, a Microsoft® XBOX, Sony® Playstation, and/or a Nintendo® Wii gaming consoles.
  • gaming console such as for example, a Microsoft® XBOX, Sony® Playstation, and/or a Nintendo® Wii gaming consoles.
  • computer 102 may include computing unit 104 , which may comprise at least one processing unit 106 .
  • Processing unit 106 may be any type of processing device for executing software instructions, such as for example, a microprocessor device.
  • Computer 102 may include a variety of non-transitory computer readable media, such as memory 108 .
  • Memory 108 may include, but is not limited to, random access memory (RAM) such as RAM 110 , and/or read only memory (ROM), such as ROM 112 .
  • RAM random access memory
  • ROM read only memory
  • Memory 108 may include any of: electronically erasable programmable read only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by computer 102 .
  • EEPROM electronically erasable programmable read only memory
  • flash memory or other memory technology
  • CD-ROM compact disc-read only memory
  • DVD digital versatile disks
  • magnetic storage devices or any other medium that can be used to store the desired information and that can be accessed by computer 102 .
  • the processing unit 106 and the system memory 108 may be connected, either directly or indirectly, through a bus 114 or alternate communication structure to one or more peripheral devices.
  • the processing unit 106 or the system memory 108 may be directly or indirectly connected 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.
  • the processing unit 106 and the system memory 108 also may be directly or indirectly connected to one or more input devices 120 and one or more output devices 122 .
  • the output devices 122 may include, for example, a display device 136 , television, printer, stereo, or speakers.
  • one or more display devices may be incorporated into eyewear.
  • the display devices incorporated into eyewear may provide feedback to users.
  • Eyewear incorporating one or more display devices also provides for a portable display system.
  • the input devices 120 may include, for example, a keyboard, touch screen, a remote control pad, a pointing device (such as a mouse, touchpad, stylus, trackball, or joystick), a scanner, a camera or a microphone.
  • input devices 120 may comprise one or more sensors configured to sense, detect, and/or measure athletic movement from a user, such as user 124 , shown in FIG. 1A .
  • image-capturing device 126 and/or sensor 128 may be utilized in detecting and/or measuring athletic movements of user 124 .
  • data obtained from image-capturing device 126 or sensor 128 may directly detect athletic movements, such that the data obtained from image-capturing device 126 or sensor 128 is directly correlated to a motion parameter.
  • data from image-capturing device 126 and/or sensor 128 may be utilized in combination, either with each other or with other sensors to detect and/or measure movements. Thus, certain measurements may be determined from combining data obtained from two or more devices.
  • Image-capturing device 126 and/or sensor 128 may include or be operatively connected to one or more sensors, including but not limited to: an accelerometer, a gyroscope, a location-determining device (e.g., GPS), light sensor, temperature sensor (including ambient temperature and/or body temperature), heart rate monitor, image-capturing sensor, moisture sensor and/or combinations thereof.
  • Example uses of illustrative sensors 126 , 128 are provided below in Section I.C, entitled “Illustrative Sensors.”
  • Computer 102 may also use touch screens or image capturing device to determine where a user is pointing to make selections from a graphical user interface.
  • One or more embodiments may utilize one or more wired and/or wireless technologies, alone or in combination, wherein examples of wireless technologies include Bluetooth® technologies, Bluetooth® low energy technologies, and/or ANT technologies.
  • Computer 102 , computing unit 104 , and/or any other electronic devices may be directly or indirectly connected to one or more network interfaces, such as example interface 130 (shown in FIG. 1B ) for communicating with a network, such as network 132 .
  • network interface 130 may comprise a network adapter or network interface card (NIC) configured to translate data and control signals from the computing unit 104 into network messages according to one or more communication protocols, such as the Transmission Control Protocol (TCP), the Internet Protocol (IP), and the User Datagram Protocol (UDP). These protocols are well known in the art, and thus will not be discussed here in more detail.
  • TCP Transmission Control Protocol
  • IP Internet Protocol
  • UDP User Datagram Protocol
  • An 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.
  • Network 132 may be any one or more information distribution network(s), of any type(s) or topology(s), alone or in combination(s), such as internet(s), intranet(s), cloud(s), LAN(s).
  • Network 132 may be any one or more of cable, fiber, satellite, telephone, cellular, wireless, etc. Networks are well known in the art, and thus will not be discussed here in more detail.
  • Network 132 may be variously configured such as having one or more wired or wireless communication channels to connect one or more locations (e.g., schools, businesses, homes, consumer dwellings, network resources, etc.), to one or more remote servers 134 , or to other computers, such as similar or identical to computer 102 .
  • system 100 may include more than one instance of each component (e.g., more than one computer 102 , more than one display 136 , etc.).
  • a single device may integrate one or more components shown in FIG. 1A .
  • a single device may include computer 102 , image-capturing device 126 , sensor 128 , display 136 and/or additional components.
  • sensor device 138 may comprise a mobile terminal having a display 136 , image-capturing device 126 , and one or more sensors 128 .
  • image-capturing device 126 , and/or sensor 128 may be peripherals configured to be operatively connected to a media device, including for example, a gaming or media system.
  • a media device including for example, a gaming or media system.
  • Computer 102 and/or other devices may comprise one or more sensors 126 , 128 configured to detect and/or monitor at least one fitness parameter of a user 124 .
  • Sensors 126 and/or 128 may include, but are not limited to: an accelerometer, a gyroscope, a location-determining device (e.g., GPS), light sensor, temperature sensor (including ambient temperature and/or body temperature), sleep pattern sensors, heart rate monitor, image-capturing sensor, moisture sensor and/or combinations thereof.
  • Network 132 and/or computer 102 may be in communication with one or more electronic devices of system 100 , including for example, display 136 , an image capturing device 126 (e.g., one or more video cameras), and sensor 128 , which may be an infrared (IR) device.
  • IR infrared
  • sensor 128 may comprise an IR transceiver.
  • sensors 126 , and/or 128 may transmit waveforms into the environment, including towards the direction of user 124 and receive a “reflection” or otherwise detect alterations of those released waveforms.
  • image-capturing device 126 and/or sensor 128 may be configured to transmit and/or receive other wireless signals, such as radar, sonar, and/or audible information.
  • signals corresponding to a multitude of different data spectrums may be utilized in accordance with various embodiments.
  • sensors 126 and/or 128 may detect waveforms emitted from external sources (e.g., not system 100 ).
  • sensors 126 and/or 128 may detect heat being emitted from user 124 and/or the surrounding environment.
  • image-capturing device 126 and/or sensor 128 may comprise one or more thermal imaging devices.
  • image-capturing device 126 and/or sensor 128 may comprise an IR device configured to perform range phenomenology.
  • image-capturing devices configured to perform range phenomenology are commercially available from Flir Systems, Inc. of Portland, Oreg.
  • image capturing device 126 and sensor 128 and display 136 are shown in direct (wirelessly or wired) communication with computer 102 , those skilled in the art will appreciate that any may directly communicate (wirelessly or wired) with network 132 .
  • User 124 may possess, carry, and/or wear any number of electronic devices, including sensory devices 138 , 140 , 142 , and/or 144 .
  • one or more devices 138 , 140 , 142 , 144 may not be specially manufactured for fitness or athletic purposes. Indeed, aspects of this disclosure relate to utilizing data from a plurality of devices, some of which are not fitness devices, to collect, detect, and/or measure athletic data.
  • device 138 may comprise a portable electronic device, such as a telephone or digital music player, including an IPOD®, IPAD®, or iPhone®, brand devices available from Apple, Inc. of Cupertino, Calif. or Zune® or Microsoft® Windows devices available from Microsoft of Redmond, Wash.
  • digital media players can serve as both an output device for a computer (e.g., outputting music from a sound file or pictures from an image file) and a storage device.
  • device 138 may be computer 102 , yet in other embodiments, computer 102 may be entirely distinct from device 138 . Regardless of whether device 138 is configured to provide certain output, it may serve as an input device for receiving sensory information.
  • Devices 138 , 140 , 142 , and/or 144 may include one or more sensors, including but not limited to: an accelerometer, a gyroscope, a location-determining device (e.g., GPS), light sensor, temperature sensor (including ambient temperature and/or body temperature), heart rate monitor, image-capturing sensor, moisture sensor and/or combinations thereof.
  • sensors may be passive, such as reflective materials that may be detected by image-capturing device 126 and/or sensor 128 (among others).
  • sensors 144 may be integrated into apparel, such as athletic clothing. For instance, the user 124 may wear one or more on-body sensors 144 a - b .
  • Sensors 144 may be incorporated into the clothing of user 124 and/or placed at any desired location of the body of user 124 .
  • Sensors 144 may communicate (e.g., wirelessly) with computer 102 , sensors 128 , 138 , 140 , and 142 , and/or camera 126 .
  • Examples of interactive gaming apparel are described in U.S. patent application Ser. No. 10/286,396, filed Oct. 30, 2002, and published as U.S. Pat. Pub, No. 2004/0087366, the contents of which are incorporated herein by reference in its entirety for any and all non-limiting purposes.
  • passive sensing surfaces may reflect waveforms, such as infrared light, emitted by image-capturing device 126 and/or sensor 128 .
  • passive sensors located on user's 124 apparel may comprise generally spherical structures made of glass or other transparent or translucent surfaces which may reflect waveforms.
  • Different classes of apparel may be utilized in which a given class of apparel has specific sensors configured to be located proximate to a specific portion of the user's 124 body when properly worn.
  • golf apparel may include one or more sensors positioned on the apparel in a first configuration and yet soccer apparel may include one or more sensors positioned on apparel in a second configuration.
  • Devices 138 - 144 may communicate with each other, either directly or through a network, such as network 132 . Communication between one or more of devices 138 - 144 may take place via computer 102 . For example, two or more of devices 138 - 144 may be peripherals operatively connected to bus 114 of computer 102 . In yet another embodiment, a first device, such as device 138 may communicate with a first computer, such as computer 102 as well as another device, such as device 142 , however, device 142 may not be configured to connect to computer 102 but may communicate with device 138 . Further, one or more electronic devices may be configured to communicate through multiple communication pathways.
  • device 140 may be configured to communicate via a first wireless communication protocol with device 138 and further communicate through a second wireless communication protocol with a different device, such as for example, computer 102 .
  • Example wireless protocols are discussed throughout this disclosure and are known in the art. Those skilled in the art will appreciate that other configurations are possible.
  • Some implementations of the example embodiments may alternately or additionally employ computing devices that are intended to be capable of 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. Also, the components shown in FIG. 1B may be included in the server 134 , other computers, apparatuses, etc.
  • sensory devices 138 , 140 , 142 and/or 144 may be formed within or otherwise associated with user's 124 clothing or accessories, including a watch, armband, wristband, necklace, shirt, shoe, or the like. Examples of shoe-mounted and wrist-worn devices (devices 140 and 142 , respectively) are described immediately below, however, these are merely example embodiments and this disclosure should not be limited to such.
  • sensory device 140 may comprise footwear which may include one or more sensors, including but not limited to: an accelerometer, location-sensing components, such as GPS, and/or a force sensor system.
  • FIG. 2A illustrates one example embodiment of a sensor system 202 in accordance with example embodiments.
  • system 202 may include a sensor assembly 204 .
  • Assembly 204 may comprise one or more sensors, such as for example, an accelerometer, location-determining components, and/or force sensors.
  • assembly 204 incorporates a plurality of sensors, which may include force-sensitive resistor (FSR) sensors 206 .
  • FSR force-sensitive resistor
  • Port 208 may be positioned within a sole structure 209 of a shoe.
  • Port 208 may optionally be provided to be in communication with an electronic module 210 (which may be in a housing 211 ) and a plurality of leads 212 connecting the FSR sensors 206 to the port 208 .
  • Module 210 may be contained within a well or cavity in a sole structure of a shoe.
  • the port 208 and the module 210 include complementary interfaces 214 , 216 for connection and communication.
  • At least one force-sensitive resistor 206 shown in FIG. 2A may contain first and second electrodes or electrical contacts 218 , 220 and a force-sensitive resistive material 222 disposed between the electrodes 218 , 220 to electrically connect the electrodes 218 , 220 together.
  • the resistivity and/or conductivity of the force-sensitive material 222 changes, which changes the electrical potential between the electrodes 218 , 220 .
  • the change in resistance can be detected by the sensor system 202 to detect the force applied on the sensor 216 .
  • the force-sensitive resistive material 222 may change its resistance under pressure in a variety of ways.
  • the force-sensitive material 222 may have an internal resistance that decreases when the material is compressed, similar to the quantum tunneling composites described in greater detail below. Further compression of this material may further decrease the resistance, allowing quantitative measurements, as well as binary (on/off) measurements. In some circumstances, this type of force-sensitive resistive behavior may be described as “volume-based resistance,” and materials exhibiting this behavior may be referred to as “smart materials.” As another example, the material 222 may change the resistance by changing the degree of surface-to-surface contact.
  • This surface resistance may be the resistance between the material 222 and the electrodes 218 , 220 and/or the surface resistance between a conducting layer (e.g., carbon/graphite) and a force-sensitive layer (e.g., a semiconductor) of a multi-layer material 222 .
  • a conducting layer e.g., carbon/graphite
  • a force-sensitive layer e.g., a semiconductor
  • this type of force-sensitive resistive behavior may be described as “contact-based resistance.” It is understood that the force-sensitive resistive material 222 , as defined herein, may be or include a doped or non-doped semiconducting material.
  • the electrodes 218 , 220 of the FSR sensor 206 can be formed of any conductive material, including metals, carbon/graphite fibers or composites, other conductive composites, conductive polymers or polymers containing a conductive material, conductive ceramics, doped semiconductors, or any other conductive material.
  • the leads 212 can be connected to the electrodes 218 , 220 by any suitable method, including welding, soldering, brazing, adhesively joining, fasteners, or any other integral or non-integral joining method. Alternately, the electrode 218 , 220 and associated lead 212 may be formed of a single piece of the same material.
  • the sensor system 202 may contain a different quantity and/or configuration of sensors and generally include at least one sensor.
  • the system 202 includes a much larger number of sensors, and in another embodiment, the system 202 includes two sensors, one in the heel and one in the forefoot of a shoe or device to be close proximity to a user's foot.
  • 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.
  • a pair of shoes may be provided with sensor systems 202 in each shoe of the pair, and it is understood that the paired sensor systems may operate synergistically or may operate independently of each other, and that the sensor systems in each shoe may or may not communicate with each other. It is further understood that the sensor system 202 may be provided with computer-executable instructions stored on one or more computer-readable media that when executed by a processor control collection and storage of data (e.g., pressure data from interaction of a user's foot with the ground or other contact surface), and that these executable instructions may be stored in and/or executed by the sensors 206 , any module, and/or an external device, such as device 128 , computer 102 , server 134 and/or network 132 of FIG. 1A .
  • a processor control collection and storage of data e.g., pressure data from interaction of a user's foot with the ground or other contact surface
  • device 226 (which may resemble or be sensory device 142 shown in FIG. 1A ) may be configured to be worn by user 124 , such as around a wrist, arm, ankle or the like.
  • Device 226 may monitor athletic movements of a user, including all-day activity of user 124 .
  • device assembly 226 may detect athletic movement during user's 124 interactions with computer 102 and/or operate independently of computer 102 .
  • device 226 may be an-all day activity monitor that measures activity regardless of the user's proximity or interactions with computer 102 .
  • Device 226 may communicate directly with network 132 and/or other devices, such as devices 138 and/or 140 .
  • athletic data obtained from device 226 may be utilized in determinations conducted by computer 102 , such as determinations relating to which exercise programs are presented to user 124 .
  • device 226 may also wirelessly interact with a mobile device, such as device 138 associated with user 124 or a remote website such as a site dedicated to fitness or health related subject matter. At some predetermined time, the user may wish to transfer data from the device 226 to another location.
  • device 226 may include an input mechanism, such as a depressible input button 228 assist in operation of the device 226 .
  • the input button 228 may be operably connected to a controller 230 and/or any other electronic components, such as one or more of the elements discussed in relation to computer 102 shown in FIG. 1B .
  • Controller 230 may be embedded or otherwise part of housing 232 .
  • Housing 232 may be formed of one or more materials, including elastomeric components and comprise one or more displays, such as display 234 .
  • the display may be considered an illuminable portion of the device 226 .
  • the display 234 may include a series of individual lighting elements or light members such as LED lights 234 in an exemplary embodiment.
  • the LED lights may be formed in an array and operably connected to the controller 230 .
  • Device 226 may include an indicator system 236 , which may also be considered a portion or component of the overall display 234 . It is understood that the indicator system 236 can operate and illuminate in conjunction with the display 234 (which may have pixel member 235 ) or completely separate from the display 234 .
  • the indicator system 236 may also include a plurality of additional lighting elements or light members 238 , which may also take the form of LED lights in an exemplary embodiment.
  • indicator system may provide a visual indication of goals, such as by illuminating a portion of lighting members 238 to represent accomplishment towards one or more goals.
  • a fastening mechanism 240 can be unlatched wherein the device 226 can be positioned around a wrist of the user 124 and the fastening mechanism 240 can be subsequently placed in a latched position. The user can wear the device 226 at all times if desired.
  • fastening mechanism 240 may comprise an interface, including but not limited to a USB port, for operative interaction with computer 102 and/or devices 138 , 140 .
  • device 226 may comprise a sensor assembly (not shown in FIG. 2B ).
  • the sensor assembly may comprise a plurality of different sensors.
  • the sensor assembly may comprise or permit operative connection to an accelerometer (including in the form of a multi-axis accelerometer), heart rate sensor, location-determining sensor, such as a GPS sensor, and/or other sensors.
  • Detected movements or parameters from device's 142 sensor(s) may include (or be used to form) a variety of different parameters, metrics or physiological characteristics including but not limited to speed, distance, steps taken, calories, heart rate, sweat detection, effort, oxygen consumed, and/or oxygen kinetics.
  • Such parameters may also be expressed in terms of activity points or currency earned by the user based on the activity of the user.
  • a computing device such as a smart phone, mobile device, computer, server, or other computing equipment may be implemented using one or more application-specific integrated circuits (ASICs). More typically, however, components of various examples of the invention will be implemented using a programmable computing device executing firmware or software instructions, or by some combination of purpose-specific electronic circuitry and firmware or software instructions executing on a programmable computing device.
  • ASICs application-specific integrated circuits
  • FIGS. 3A-B illustrate examples of a computer interacting with at least one sensor in accordance with example embodiments.
  • the computer 102 may be implemented as a smart phone that may be carried by the user.
  • Example sensors may be worn on a user's body, be situated off-body, and may include any of the sensors discussed above including an accelerometer, a distributed sensor, a heart rate monitor, a temperature sensor, etc.
  • a pod sensor 304 and a distributed sensor 306 is shown.
  • the pod sensor 304 may include an accelerometer, a gyroscope, and/or other sensing technology.
  • pod sensor 304 may at least one sensor to monitor data that does not directly relate to user movement.
  • ambient sensors may be worn by the user or may be external to the user.
  • 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 movement may also be used.
  • computer 102 may incorporate one or more sensors.
  • the pod sensor 304 , the distributed sensor 206 , as well as other types of sensors, may include a wireless transceiver to communicate with one another and the computer 102 .
  • sensors 304 and 306 may communicate directly with the network 132 , with other devices worn by the user (e.g., a watch, arm band device, etc.), with sensors or devices worn by a second user, an external device, etc.
  • a sensor in a left shoe may communicate with a sensor in a right shoe.
  • one shoe may include multiple sensors that communicate with one another and/or with a processor of the shoe.
  • a pair of shoes may include a single processor that collects data from multiple sensors associated with the shoes, and a transceiver coupled to the single processor may communicate sensor data to at least one of computer 102 , network 132 , and server 134 .
  • one or more sensors of a shoe may communicate to a transceiver that communicates with at least one of computer 102 , network 132 , and server 134 .
  • sensors associated with a first user may communicate with sensors associated with a second user.
  • sensors in the first user's shoes may communicate with sensors in a second user's shoes.
  • Other topographies may also be used.
  • the computer 102 may exchange data with the sensors, and also may communicate data received from the sensors via the network 132 to the server 134 and/or to another computer 102 .
  • a user may wear head phones or ear buds to receive audio information from the computer 102 , directly from one or more of the sensors, from the server 134 , from the network 132 , from other locations, and combinations thereof.
  • the head phones may be wired or wireless.
  • a distributed sensor 306 may communicate data to head phones for audible output to the user.
  • a user may wear shoes that are each equipped with an accelerometer, a force sensor or the like, to allow the computer 102 and/or the server 134 to determine the individual movement and metrics of each foot or other body part (e.g., leg, hand, arm, individual fingers or toes, regions of a person's foot or leg, hips, chest, shoulders, head, eyes) alone or in combination with the systems described above with reference to FIGS. 1A-B and 2 A- 2 B.
  • body part e.g., leg, hand, arm, individual fingers or toes, regions of a person's foot or leg, hips, chest, shoulders, head, eyes
  • Processing of data may distributed in any way, or performed entirely at one shoe, at the computer 102 , in the server 134 , or combinations thereof.
  • computer 102 may be described as performing a function.
  • Other devices including server 134 , a controller, another computer, a processor in a shoe or other article of clothing, or other device may performing the function instead of or in addition to computer 102 .
  • one or more sensors of each shoe or other peripheral sensor
  • the controller's processing, at any given time, may be subject to command and control of a higher tiered computing device (e.g., computer 102 ).
  • That higher tiered device may receive and further process the processed sensor signals, from that one or plural controllers, e.g., via one or more transceivers. Comparisons and calculations may be made at one or more computing devices, including some or all of the above computing devices, with or without additional computing devices. Sensors may sense desired conditions and generate raw signals, the raw signals being processed so as to provide processed data. The processed data may then be used for determining current performance metrics (e.g., current speed of travel, etc.) and the determinations may change depending on user input (e.g., how high did I jump?) and/or programming (e.g., did the user do the indicated exercise and, if that is detected, how is it qualified/quantified in the user experience).
  • current performance metrics e.g., current speed of travel, etc.
  • sensors 304 and 306 may process and store measurement data, and forward the processed data (e.g., average acceleration, highest speed, total distance, etc.) to the computer 102 and/or the server 134 .
  • the sensors 304 and 306 may also send raw data to the computer 102 and/or the server 134 for processing.
  • Raw data may include an acceleration signal measured by an accelerometer over time, a pressure signal measured by a pressure sensor over time, etc. Examples of multi-sensor apparel and the use of multiple sensors in athletic activity monitoring are described in U.S. application Ser. No. 12/483,824, entitled “FOOTWEAR HAVING SENSOR SYSTEM,” and published as U.S. Publication No. 2010/0063778 A1 and U.S. application Ser.
  • an athlete may wear shoes 302 having one or more force sensing systems, e.g., that utilize force-sensitive resistor (FSR) sensors, as shown in FIG. 2A and described in the above noted patent publications.
  • the shoe 302 may have multiple FSR sensors 206 that detect forces at different regions of the user's foot (e.g., a heel, mid-sole, toes, etc.).
  • Computer 102 may process data from FSR sensors 206 to determine balance of a user's foot and/or between a user's two feet. For example, computer 102 may compare a force measurement by a FSR 206 from a left shoe relative to a force measurement by a FSR 206 from a right shoe to determine balance and/or weight distribution.
  • FIG. 3B is another example data flow diagram in which computer 102 interacts with at least one sensor processing system 308 to detect user actions.
  • Sensor processing system 308 may be physically separate and distinct from computer 102 and may communicate with computer 102 through wired or wireless communication.
  • Sensor processing system 308 may include sensor 304 , as shown, as well as other sensors (e.g., sensor 306 ) instead of or in addition to sensor 304 .
  • sensor system 308 may receive and process data from sensor 304 and FSR sensor 206 .
  • Computer 102 may receive input from a user about a type of activity session (e.g., cross training, basketball, running, etc.) the user desires to perform. Instead or additionally, computer 102 may detect a type of activity the user is performing or receive information from another source about the type of activity being performed.
  • a type of activity session e.g., cross training, basketball, running, etc.
  • Action templates may be used to identify motions or actions that a user may perform while performing the determined type of activity.
  • an action may correspond to a group of one or more events, such as detecting that a user has taken a step to the right followed by a step to the left or detecting that a user has jumped while flicking his or her wrist.
  • different sets of one or more action templates may be defined for different types of activities.
  • a first set of action templates defined for basketball may include dribbling, shooting a basketball, boxing out, performing a slam dunk, sprinting and the like.
  • a second set of action templates defined for soccer may include kicking a ball to make a shot, dribbling, stealing, heading the ball and the like.
  • Action templates may correspond to any desired level of granularity.
  • a particular type of activity may include 50-60 templates.
  • a type of activity may correspond to 20-30 templates. Any number of templates may be defined as needed for a type of activity.
  • the templates may be manually selected by a user rather than being selected by the system.
  • Sensor subscriptions may allow sensor system 308 to select the sensors from which data is to be received.
  • the sensor processing system 308 may manage subscriptions that are used at any particular time.
  • Types of subscriptions may include force sensitive resistance data from one or more force sensitive resistors, acceleration data from one or more accelerometers, summation information over multiple sensors (e.g., summation of acceleration data, summation of force resistance data over one or more sensors, etc.), pressure maps, mean centered data, gravity adjusted sensor data, force sensitive resistance derivatives, acceleration derivatives, and the like and/or combinations thereof.
  • a single subscription may correspond to a summation of data from multiple sensors.
  • a single subscription may correspond to a summation of forces of all sensors in the forefoot region.
  • force data for each of the forefoot force sensors may correspond to a distinct subscription.
  • the subscriptions may specify which of those 5 sensors are monitored for sensor data.
  • subscriptions may specify receiving/monitoring sensor data from a right shoe accelerometer but not a left shoe accelerometer.
  • a subscription may include monitoring data from a wrist-worn sensor but not a heart rate sensor.
  • Subscriptions may also specify sensor thresholds to adjust the sensitivity of a sensor system's event detection process.
  • sensor system 308 may be instructed to detect all force peaks above a first specified threshold.
  • sensor system 308 may be instructed to detect all force peaks above a second specified threshold.
  • Use of different sensor subscriptions may help a sensor system to conserve power if some sensor readings are not needed for a particular activity. Accordingly, different activities and activity types may use different sensor subscriptions.
  • Sensor processing system 308 may be configured to perform initial processing of raw sensor data to detect various granular events. Examples of events may include a foot strike or launch when jumping, a maximum acceleration during a time period, etc. Sensor system 308 may then pass events to computer 102 for comparison to various templates to determine whether an action has been performed. For example, sensor system 308 may identify one or more events and wirelessly communicate BLUETOOTH® Low Energy (BLE) packets, or other types of data, to computer 102 . In another example, sensor system 308 may instead or additionally send raw sensor data.
  • BLE BLUETOOTH® Low Energy
  • computer 102 may perform post-match processing including determining various activity metrics such as repetitions, air-time, speed, distance and the like.
  • Activity classification may be performed by identifying various events and actions represented within data received from any number and type of sensors. Accordingly, activity tracking and monitoring may include determining whether one or more expected or known actions within an activity type has been performed and metrics associated with those actions.
  • actions may correspond to a series of one or more low-level or granular events and may be detected using predefined action templates.
  • computer 102 may automatically detect when a user has performed a particular activity or a particular motion expected during that activity. If a user is playing basketball, for instance, detecting that the user has jumped while flicking his or her wrist may indicate that the user has taken a shot. In another example, detecting that a user has moved both feet outward while jumping followed by moving both feet inward while jumping may register as a user performing one repetition of a jumping jack exercise.
  • a variety of other templates may be defined as desired to identify particular types of activities, actions or movements within types of activities.
  • FIG. 4 illustrates examples of pod sensors 304 that may be embedded and removed from a shoe in accordance with example embodiments.
  • the pod sensor 304 may include a rechargeable battery that may be recharged when inserted into a wall adapter 402 . Wired or wireless charging of the pod sensor 304 may be used.
  • the pod sensor 304 may be inductively charged.
  • a pod sensor 304 - 1 may be configured with an interface (e.g., Universal Serial Bus) permitting insertion into a computer or other device for downloading and/or receiving data.
  • An interface of the pod sensor may provide for wired or wireless communication.
  • software updates may be loaded onto the pod sensor when connected to a computer.
  • the pod sensor may wirelessly receive software updates.
  • the pod sensor When physically coupled to a computer 102 (or other device having a port), the pod sensor may charge and communicate with the computer 102 .
  • FIG. 5 illustrates example on-body configurations for the computer 102 in accordance with example embodiments.
  • Computer 102 may be configured to be worn at desired locations on a user's body, such as, for example, a user's arm, leg, or chest, or otherwise integrated in clothing. For example, each article of clothing may have its own integrated computer.
  • the computer may be a thin client, driven by the context, of what the user is doing and otherwise equipped/networked.
  • Computer 102 may also be located apart from the user's body, as shown in FIGS. 6-7 .
  • FIGS. 6-7 illustrates example various off-body configurations for the computer 102 in accordance with example embodiments.
  • Computer 102 may be placed in a docking station 602 to permit display of the GUI on a larger screen and output of audio through a stereo system.
  • computer 102 may respond to voice commands, via direct user input (e.g., using a keyboard), via input from a remote control, or other manners to receive user commands.
  • Other off-body configurations may include placing the computer 102 on a floor or table nearby where a user is exercising, storing the computer 102 in a workout bag or other storage container, placing the computer 102 on a tripod mount 702 , and placing the computer 102 on a wall mount 704 .
  • Other off-body configurations may also be used.
  • a user When worn off-body, a user may wear head-phone, ear buds, a wrist-worn device, etc. that may provide the user with real-time updates.
  • the pod sensor 304 and/or the distributed sensor 306 may wirelessly communicate with the computer 102 at the off-body locations when in range, at periodic time intervals, when triggered by the user, and/or may store data and upload the data to the computer 102 when in range or when instructed by the user at a later time.
  • FIG. 8 illustrates an example display of a GUI presented by a display screen of the computer 102 in accordance with example embodiments.
  • Home page display 802 of the GUI may present a home page to provide the user with general information, to prompt the user to select what type of physical activity session the user is interested in performing, and to permit the user to retrieve information about previously completed sessions (e.g., basketball games, workouts, etc.).
  • the display screen of the computer 102 may be touch sensitive and/or may receive user input through a keyboard or other input means. For instance, the user may tap a display screen or provide other input to cause the computer 102 to perform operations.
  • the user may tap or otherwise select on a field 804 including the last session to cause the computer 102 to update the home page display 802 to display performance metrics (e.g., vertical leap, total air, activity points, etc.) from at least one previous session.
  • performance metrics e.g., vertical leap, total air, activity points, etc.
  • the selected field 804 may expand, as seen in FIG. 8 , to display information about duration of the last session, the user's top vertical leap, a total amount of time a user was in the air during the last session, and incentive points (e.g., activity points) earned in the previous session.
  • the computer 102 may determine performance metrics (e.g., speed, vertical leap, etc.) by processing data sensed by the sensors 304 and 306 or other sensing devices.
  • Home page display 802 may prompt a user to select whether they wish to have the computer 102 track one or more user performance metrics during a workout or athletic activity session (e.g., track my game) by selecting field 806 or assist the user in improving their athletic skills (e.g., raise my game) by selecting field 808 .
  • FIGS. 9-21 discuss the former and FIGS. 22-31 discuss the latter.
  • FIG. 9 illustrates example performance metrics for user selection in accordance with example embodiments.
  • a user may be interested in monitoring their total play time, vertical leap, distance, and calories burned and/or other metrics, and may use the home page display 802 to select from the desired metrics shown in FIG. 9 .
  • the metrics may also vary based on type of athletic activity performed in a session.
  • home page display 802 may present certain default performance metric selections, depending on the activity of the session. The user may provide input to change the default performance metric selections.
  • Other performance metrics may include a total number of jumps, a number of vertical jumps above a certain height (e.g., above 3 inches), a number of sprints (e.g., speed above a certain rate, either user selected or specified by computer 102 ), a number of fakes (e.g., quick changes in direction), a jump recovery (e.g., a fastest time between two jumps), a work rate (e.g., may be a function of average power multiplied by time length of workout session), a work rate level (e.g., low, medium, high), total steps, steps per unit time (e.g., per minute), number of bursts (e.g., number of times a user exceeds a speed threshold), balance, weight distribution (e.g., compare weight measured by a FSR 206 in a user's left shoe to weight measured by a FSR 206 in a user's right shoe, as well as amount FRSs 206 in one shoe),
  • a work rate
  • computer 102 may prompt the use to indicate which metrics to monitor for each type of session (e.g., baseball, soccer, basketball, etc.) and store the identified metrics in a user profile.
  • Computer 102 may also prompt the user for desired metrics at the beginning of each session.
  • computer 102 may track all of the performance metrics, but may only display the selected metrics to the user in the GUI. For example, computer 102 may only monitor certain base metrics (e.g., based on battery life may be extended, to vary responsiveness, to avoid data overload, etc.). If the user desires to review metrics other than the ones currently displayed by the GUI, the user may input the desired metrics and the computer 102 may update the GUI accordingly.
  • the metrics being displayed may be changed at any time. The default metrics may be presented once the session resumes or another session begins.
  • computer 102 may later go into a lower level of monitoring (e.g., as resources are consumed together with warnings to user), down to and through base and ultimately to one or no metrics being monitored.
  • computer 102 may only display base metrics for a user, unless/until configured otherwise by user. Based on resources, computer 102 may reduce what is being displayed to only present the base performance metrics or fewer metrics. Sensors may continue to monitor the other performance metrics, and data from these sensors may be later available (e.g., via web experience, etc.).
  • FIGS. 10-11 illustrate an example of calibrating sensors in accordance with example embodiments.
  • Calibration may involve computer 102 confirming ability to communicate directly or indirectly with the sensors (e.g., sensors 304 and 306 ), that the sensors are functioning properly, that the sensors have adequate battery life, and to establish baseline data.
  • computer 102 may communicate with (e.g., send a wireless signal) pod sensor 304 and distributed sensor 306 contained with a user's shoes. The pod sensor and the distributed sensor may reply with the requested data.
  • Calibration may also occur at other time instances (e.g., mid-session, at the end of a session, etc.).
  • the GUI may prompt the user to stand still to take baseline data measurements with pod sensor 304 and distributed sensor 306 (e.g., acceleration, weight distribution, total weight, etc.), as seen in displays 1002 A-B. Calibration may also prompt the user to individually lift their feet to permit computer 102 to determine which foot is associated with which sensor data.
  • Distributed sensor 306 may also be encoded with footwear information, such as, for example, shoe type, color, size, which foot (e.g., left or right), etc., that the computer 102 obtains during calibration.
  • the computer 102 may process the reply from the sensors 304 and 306 , and update the GUI to inform the user of any issues and how to address those issues (e.g., change battery, etc.) or if the calibration was successful, as seen in display 1002 C.
  • field 1104 shown to the left of display 1102 A includes example displays of battery life as well as connectivity status (e.g., connected, not connected). Calibration may also occur at certain events, such as detecting removal of a pod 304 .
  • the display 1102 B presents a weight distribution for the user and a gauge 1106 representing remaining battery life.
  • a GUI may be configured to display performance data in substantially real-time (e.g., as fast as may be permitted to capture (and/or process) and transmit the data for display).
  • FIG. 11B shows example GUIs that may be implemented in accordance with one embodiment. As seen in FIG. 11B , display 1102 C may provide one or more selectable activity parameters for displaying captured values relating to that selectable parameter.
  • a user desiring to view values relating to their vertical height during a jump may select the “vertical” icon (see icon 1108 ); yet other icons may include, but are not limited to: quickness (which may display values relating to steps per second and/or distance per second), pressure, and/or any other detectable parameter.
  • a plurality of different parameters may be selected for simultaneous display. Yet in further embodiments, the parameters are not required to be selected. Default parameters may be displayed absent a user input.
  • Data relating to the parameter(s) may be provided on display 1102 C in real-time. For example, output 1110 indicates that the user has jumped “24.6 INCHES”.
  • Values may be provided graphically, such as for example represented by graph 112 indicating the value is 24.6 inches.
  • outputting of values may show the real-time data
  • at least one of the outputs 1110 / 1112 may show other values, such as historical values, desired goal values, and/or a maximum or minimum value.
  • graph 1112 may fluctuate depending on the user's current (e.g., real-time) height; however, output 1110 may display the user's highest recorded jump during that session or an all-time best. Outputting of values or results may be correlated to physical objects and/or actions.
  • a user may receive an indication that they could jump over a bicycle (see, e.g., display 1102 D of FIG. 11B ).
  • values relating to a user's quantity of steps per second may be correlated to those of actual animals and displayed.
  • FIG. 12 illustrates example displays of the GUI presenting information relative to a session in accordance with example embodiments.
  • Display 1202 A may initially prompt the user to check in to a court and to start a session. The user may also input a type of the session (e.g., practice, pickup game, league, half-court game, full court game, 3 on 3, 5 on 5, etc.).
  • Display 1202 B may inform the user of a duration of the session as well as prompting the user to pause and/or end their session.
  • Display 1202 C may present current performance metrics of the user (e.g., top vertical, air time, tempo, etc.).
  • display 1202 may present default or user-selected statistics, but a swipe or other gesture may trigger a scroll, sequencing groups of predetermined number of performance metrics (e.g., 3 or other number, based on the performance metrics that can be shown on the screen in portrait versus landscape orientation) or otherwise brings up other performance metrics.
  • predetermined number of performance metrics e.g., 3 or other number, based on the performance metrics that can be shown on the screen in portrait versus landscape orientation
  • Computer 102 may also update display 1202 when a particular event is identified. For example, if a new record (e.g., personal best) is identified (e.g., new vertical max leap), computer 1202 may at least one of update the display (e.g., color, information presented, etc.), vibrate, sound a noise indicative of the specific record (e.g., based on color change placement on shoe corresponding to a specific metric), or prompt the user that some record (e.g., any metric) has been reached. Display 1202 may also present a button for the user to select signifying that a record has been achieved. Display 1202 B may prompt the user to check their performance metrics (e.g., check my stats), as further described in FIG. 13 .
  • performance metrics e.g., check my stats
  • FIG. 13 illustrates an example display of a GUI providing a user with information about their performance metrics during a session in accordance with example embodiments.
  • Display 1302 may present information about a length of a current or previous session in field 1304 , various performance metrics (e.g., top vertical, total airtime, tempo, etc.) for the user in field 1308 , as well as who the user played with during the session in field 1310 .
  • computer 102 , sensor 304 or 306 , or other device associated with a first user may exchange a first user identifier with a computer 102 , sensor 304 or 306 , or other device associated with a second user to that each computer may be aware of who participated in a session.
  • the computer 102 may also process the performance metrics to assign a playing style to the user as indicated in field 1306 .
  • Field 1306 may indicate that the user is a “hot streak” in response to determining that the user hustled hard for thirty minutes in a row.
  • the box to the right of field 1306 may indicate alternative playing styles.
  • the computer 102 may identify other types of playing styles.
  • the computer 102 may assign a ‘silent assassin’ playing style when identifying periods of inactivity followed by explosive bursts, a ‘vortex’ playing style when a user exhibits little movement or jumping during the session, a ‘cobra’ playing style when a user exhibits perpetual easy movement with huge bursts and jumps, a ‘track star’ playing style when a user is fast, has good stamina, and has a high peak speed, and a ‘skywalker’ playing style when a user has a big vertical leap and a long hang time.
  • more than one style may be assigned to the user, with a different style associated with one individual session as compared with another session.
  • Plural styles may be assigned and displayed for a single session.
  • the computer 102 may assign a particular playing style based on receiving user data from at least one of pod sensor 304 (e.g., accelerometer data), distributed sensor 306 (e.g., force data), or other sensors.
  • the computer 102 may compare the user data with playing style data for a plurality of different playing styles to determine which of the playing styles most closely matches the data. For example, the computer 102 may set performance metric thresholds for each of the playing styles. Some playing styles may require that, at least once during the session, the user jumped a certain height, ran at a certain speed, played for a certain amount of time, and/or performed other tasks.
  • playing styles may require that the user data indicate that the user performed certain sequences of events (e.g., little movement followed by quick acceleration to at least a certain top speed). Some playing styles may require that the user data indicate that the user maintained thresholds for a certain amount of time (e.g., maintained average speed over a threshold throughout a game).
  • a playing style may be assigned based on a data set obtained from a set of sensors including sensors worn at various locations on a user's body (e.g., accelerometers at the gluteus and or upper body to identify a “BANGER” playing style).
  • other, non-activity data may come into determining a playing style, such as user profile data (e.g., user age, height, gender, etc.).
  • user profile data e.g., user age, height, gender, etc.
  • some playing styles may be gender specific or based on ambient conditions (e.g., a “POSTMAN” style because use plays in rain, sleet, snow, etc.).
  • a user or user group may define their own playing styles, based on a combination of metrics and analytics.
  • the users or user groups may change a name of the playing style, without changing the associated metrics and analytics.
  • Playing styles may be updated automatically.
  • personal training system 100 may periodically update a playing style specified by system 100 .
  • system 100 may automatically update a playing style when the name of the playing style is associated with a particular location (e.g., state, city, court), and that playing style is referred to by a different name at another location (e.g., keep the designation consistent with local lingo).
  • display 1302 permits the user to share their performance metrics with other users and/or to post to a social networking website by selecting field 1312 .
  • the user may also input a message (e.g., “check out my vertical leap”) to accompany the performance metrics being sent.
  • the computer 102 may distribute performance metric data of a current and/or previous session and the message to the server 134 in response to a user request to share.
  • the server 134 may incorporate the data and/or message in the social networking website and/or may distribute the data/message to other desired or all users.
  • FIG. 14 illustrates example displays of the GUI presenting information about a user's virtual card (vcard) in accordance with example embodiments.
  • the vcard may include information about a user's athletic history.
  • the vcard may include data on a user's performance metrics, sessions, and awards at individual sessions as well as averages of the performance metrics.
  • the vcard statistics display 1402 A may indicate a number of points a user has acquired (e.g., activity points or metrics), as well as running totals and/or top performances by the user.
  • the activity points may a statistic indicating physical activity performed by a user.
  • the server 134 and/or computer 102 may award activity points to the user upon achieving certain athletic milestones.
  • the vcard sessions display 1402 B may indicate a total amount of playtime and number of sessions a user has completed, as well as providing historical information about completed sessions.
  • the vcard sessions display 1402 B may also indicate a playing style the user exhibited for each session as well as a session length and date of the session.
  • the vcard awards display 1402 C may indicate awards the user has accrued over time. For example, the server 134 and/or computer 102 may award the user a flight club award after accruing a total amount of loft time during the sessions.
  • Other example awards may be a “king of the court” award for a user who has one or more top metrics at a specific court, a “flier mile” award earned with one mile of flight time (or for other quanta of time and distance), a “worldwide wes” award when a player participates in sessions in multiple countries, an “ankle-breaker” award to those having at least a certain top speed or quickest first step, a “jump king” award for a user having at least a certain vertical leap, a “24/7 bailer” award for a user who plays a certain number of days in a row or at a certain number of different courts, an “ice man” award if a certain number of rivals follow a user, a “black mamba” award if an even greater number of rivals follow a user (compared to an ice-man), a “prodigy” award for a young player achieving certain performance metric levels, and an “old school” award for older players achieving certain performance metric levels.
  • FIG. 15 illustrates an example user profile display of the GUI presenting a user profile in accordance with example embodiments.
  • the user profile display 1502 may present information about the user, such as height, weight, and position, playing style (e.g., “The Silent Assassin”), as well as other information.
  • the user profile display 1502 may also indicate one or more types of shoe worn by the user.
  • the user profile display 1502 may present information about the user's activity, and may permit the user to control sharing this information with other users. For example, the user may specify which other users can view user profile information, or may make all of the user's information accessible to any other user.
  • FIG. 16 illustrates further examples of information about the user that may be presented in user profile display 1502 in accordance with example embodiments.
  • FIGS. 17-20 illustrate further example displays of a GUI for displaying performance metrics to a user in accordance with example embodiments.
  • the computer 102 may communicate with at least one of pod sensor 304 , distributed sensor 306 , or other sensor, to obtain data to generate the performance metrics.
  • Example displays of the GUI while capturing data are shown in FIG. 17 , such as top vertical in display 1702 A, total airtime in display 1702 B, tempo statistics in display 1702 C, and points in display 1702 D.
  • Scroll bar 1704 represents the progress in transferring data from the sensors to computer 102 .
  • FIG. 18A illustrates example leap displays relating to a user's vertical leap in accordance with example embodiments.
  • the computer 102 may track information on the user's vertical leap during an exercise session as well as at what times during the session the leaps occurred.
  • the computer 102 may determine a user's vertical leap based on an amount of loft time between when both feet of a user leave the ground and when a first of the user's feet next contacts the ground.
  • the computer 102 may process accelerometer data from pod sensor 304 and/or force data from distributed sensor 306 to determine a moment when both of the user's feet are off the ground and when a first of the feet next contacts the ground.
  • the computer 102 may also compare user data from pod sensor 304 and distributed sensor 306 with jump data to confirm that the user actually jumped and landed, rather than merely lifted their feet off of the ground or hung on a basketball rim (or other object) for a predetermined time.
  • the jump data may be data generated to indicate what a force profile and/or acceleration profile should look like for someone who actually jumped.
  • the computer 102 may use a similarity metric when comparing the user data to the 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 the user data when determining a user's performance metrics (e.g., top or average vertical leap).
  • the computer 102 may process the user data to determine a vertical leap, a time of the vertical leap, a user's average vertical leap height, maintain a running total of loft time for jumps, and/or determine which foot is dominant, as well as other metrics.
  • the computer 102 may identify a dominant foot based on the force data and/or accelerometer data associated with each shoe.
  • the force data and/or accelerometer data may include timing information so that the computer 102 can compare events in each shoe.
  • the computer 102 may process the force data and/or accelerometer data as well as the timing information to determine which foot was last on the ground prior to a jump.
  • the computer 102 may identify a dominant foot based on the one that is last on the ground when a user jumps and/or the one associated with a user's largest vertical leap.
  • the computer 102 may also present leap display 1802 A including a user's top five vertical leaps and depict which foot, or both feet, was last on the ground immediately preceding the jump.
  • Leap display 1802 A may display any desired number of top leaps, which may be specified by the user or set by system 100 . The number of top leaps may be based on an amount of time.
  • leap display 1802 A may present the top five leaps over the full time of a session, top five in the most recent predetermined number of minutes or percentage of total session time, or based on the type of session (e.g., pick-up basketball game as compared to an organized game).
  • the leap display 1802 A or 1802 B may also display vertical leaps over durations other than by session, and may include, for example, month, week, all time, or other time ranges.
  • Leap display 1802 A or 1802 B may also present a total number of jumps, a cumulative amount of hang time, an average hang time, hang time corresponding to a highest vertical leap, or other information relating to jumping.
  • Orientation of computer 102 may control which of leap display 1802 A and leap display 1802 B is currently being presented. For example, a user may rotate computer 102 (e.g., 90 degrees) to change from presenting leap display 1802 A (e.g., a portrait orientation) to presenting leap display 1802 B (e.g., a landscape orientation). A user may rotate computer 102 in the opposite direction to change from presenting leap display 1802 B to presenting leap display 1802 A. Similarly, rotation of computer 102 may be used to alternate between displays in other examples described herein.
  • leap display 1802 B may display a user's jumps chronologically over a session and may indicate a time when each jump occurred as well as vertical height for each jump during the session.
  • the leap display 1802 B may also display a user's personal best vertical leap from a previous session or previously set during the session.
  • a personal best line can be changed during a session, either via a step function, or by adding a new line of the new best to supplement the existing line (e.g., “new best” color) and showing lines for the session in which the new best occurs.
  • Computer 102 may also update leap display 1802 B by replacing the previous personal best line (e.g., in one color) with a new line (e.g., in a new personal best color, which may only be used during the session in which the personal best occurred). Further, the color may change as the user's personal best improves to indicate ability compared to other users (e.g., you jumped higher than 85% of other users).
  • the leap display 1802 B may include a performance zone (e.g., dunk zone) indicating when a user may be able to perform an act (e.g., dunk a basketball).
  • the computer 102 may tailor the performance zone to the user based on the user's physical attributes (e.g., height, arm length, leg length, torso length, body length, etc.). For example, a dunk zone may require a higher vertical leap for a shorter user than a taller user.
  • a performance zone may correspond to a range of values, a minimum value, or a maximum value.
  • the one or more values may correlate to when a user's athletic performance is expected that a user could perform a particular act.
  • a performance zone may be a minimum vertical leap that would permit a user to dunk a basketball.
  • the user need not actually perform the act (e.g., dunking), but instead the performance zone may indicate when the computer 102 calculates that the user could perform the act.
  • computer 102 may provide a recommendation to help the user achieve the performance zone. For example, computer 102 analysis of sensor data associated with leaps by the user may enable more feedback to the user to enhance ability to get into the dunk zone or to improve personal bests in rare air. For instance, computer 102 may process sensor data and recommend that the user adjust certain body parts to increase the user's leaping ability. In another example, computer 102 may suggest that the user obtain greater acceleration of leading foot or more pressure on trailing foot by increasing upper body acceleration.
  • a performance zone may be established for any desired athletic movement.
  • Example performance zones may correspond to a minimum amount of pressure measured by distributed sensor 306 , a maximum amount of pressure, pressure falling within a particular range or pressures.
  • Other example performance zones may correspond to a minimum amount of acceleration measured by the sensor 306 , a maximum amount of pressure, pressure falling within a particular range or pressures.
  • a performance zone may be based on a combination of different measurements or a sequence of measurements. For example, a performance zone may specify at least a certain amount of acceleration, followed by at least a certain amount of loft time, followed by at least a certain amount of measured pressure.
  • acceleration and body rotation may be monitored. For instance, it may be desirable for a gymnast to have a specific amount of body rotation during a dismount from the uneven bars. If the gymnast rotates too quickly or slowly, he or she may not orient their body in a proper position when landing.
  • the performance zone may be a “spin zone” specifying minimum and maximum rotational accelerations, and computer 102 may monitor for over and under rotation to provide the gymnast with feedback on whether they are within a performance zone during a dismount.
  • Computer 102 may provide a recommendation to adjust certain body parts to adjust an amount of acceleration when dismounting to increase or decrease rotation by the user.
  • a performance zone may be established for other sports (e.g., track and field, golf, etc.).
  • Computer 102 may tailor the performance zone based on feedback received form the user.
  • computer 102 may receive input from a user indicating for which vertical leaps the user was able to perform the act (e.g., dunk a basketball), and the computer 102 may adjust a minimum required vertical leap for the user to be in the performance zone based on the user's feedback.
  • Computer 102 may award one or more activity points to a user for being in the performance zone as well as for the amount of time the user maintained their performance within the performance zone.
  • Computer 102 may also determine an amount of calories burned by the user while in the performance zone.
  • Computer 102 may present information indicating a rate of activity points earned by a user over the duration of an exercise session.
  • FIG. 18B illustrates an example activity points display 1804 in accordance with example embodiments.
  • Computer 102 may determine and award activity points to a user during the exercise session. To do so, computer 102 may compare measured user performance to any number of metrics to award activity points. For example, computer 102 may award a predetermined number of activity point for running a predetermined distance. As may be seen in FIG.
  • line 1806 of activity points display 1804 may represent the rate at which a user earned activity points at various times during the exercise session, line 1806 may represent an all-time average rate at which a user has accrued activity points, line 1808 may represent the average rate at which the user accrued activity points during this particular session, and line 1812 may represent an all-time best rate for accruing activity points.
  • line 1806 may represent how may activity points a user accrues per minute, or other interval of time (e.g., per millisecond, per second, per ten seconds, per thirty seconds, etc.).
  • Activity points display 1804 may also present indicia, such as lines, indicating other matrices, such as averages, including but not limited to an average rate of accrued activity points for a predetermined number of previous session (e.g., last three sessions). Further, the lines may be of different colors. If a new all-time best is established, activity points display 1804 may flash or otherwise present an indication signifying the accomplishment.
  • indicia such as lines, indicating other matrices, such as averages, including but not limited to an average rate of accrued activity points for a predetermined number of previous session (e.g., last three sessions). Further, the lines may be of different colors. If a new all-time best is established, activity points display 1804 may flash or otherwise present an indication signifying the accomplishment.
  • Computer 102 may categorize activities performed by the user as well as a percentage of time during an exercise session a user was in a particular category, and present this information to the user in the activity points display 1804 .
  • activity points display 1804 may indicate a percentage of time during a session that a user was idle, percentage of time that the user moved laterally, percentage of time that the user was walking, percentage of time that the user was running, percentage of time that the user was sprinting, and percentage of time that the user was jumping, etc.
  • Other categories instead of or in addition to the ones shown in activity points display 1804 may also be presented.
  • activity points display 1804 may display a cumulative amount of time, rather than percentage of time, for each of these statistics.
  • Computer 102 may determine that amount of activity points a user earned while in each category, as well as a total amount of activity points earned during an exercise session, and present such information via activity points display 1804 . In an example, computer 102 may determine that a user earned 25 activity points while walking, 75 activity points while walking, and 150 activity points while sprinting, for a total of 250 activity points. Computer 102 may also determine a caloric burn rate for each of the categories instead of or in addition to determining activity points.
  • the computer 102 may also display performance metric data based on measurements of a user's hustle and tempo.
  • FIG. 19 illustrates example hustle displays 1902 A-B and tempo displays 1904 A-B in accordance with example embodiments.
  • Hustle display 1902 A may present a user's hustle over time during a session, as well as other performance metrics.
  • computer 102 may track various performance metrics including a running total of jumps, sprints, fakes, and jump recovery (e.g., a shortest amount of time between consecutive jumps) during a session, and hustle may be a function of these metrics.
  • With reference to hustle display 1902 B computer 102 may divide hustle into three categories: low, medium and high. More or fewer categories of hustle may be defined.
  • Hustle display 1902 B may also present line 1906 indicating an average hustle level over a session.
  • Tempo may be based on a rate of steps taken by a user per interval of time (e.g., steps per minute).
  • the categories may be defined by ranges of step rates. For example, walking may be defined as one to 30 steps per minute, jogging may be 31-50 steps per minute, running may be defined as 51-70 steps per minute, and sprinting may be defined as 71 or more steps per minute.
  • computer 102 may indicate how often a user was in each category during a session. For example, tempo display 1904 B may indicate what percentage of the time a user was in each category (e.g., 12% sprinting).
  • Tempo display 1904 may also indicate a user's quickest number of steps per second (e.g., 4.1 steps/second) or any other time interval, a total number of steps, a total number of sprints, etc.
  • the computer 102 may also inform the user of activity points earned during the workout as well as total activity points accrued.
  • FIG. 20 illustrates an example activity points display of a GUI informing a user of points earned during a session in accordance with example embodiments.
  • the computer 102 may process data taken during a workout session to award points to a user.
  • the points may track a user's activity across different sports and workout sessions.
  • the points display 2002 A-B may permit the user to determine points earned by date range, workout session, or other ranges.
  • the computer 102 may also track user defined movement.
  • FIG. 21 illustrates example freestyle displays of a GUI providing information on freestyle user movement in accordance with example embodiments.
  • computer 102 may prompt the user to start a movement for tracking. The user may perform any desired type of movement, denoted hereafter as “freestyle” movement.
  • freestyle display 2102 B computer 102 may display a user's vertical leap, airtime, and foot used for a jump during the freestyle movement.
  • Freestyle display 2102 B may display performance metrics deemed relevant by the system 100 , by the user, or both. For example, performance metrics could be the vertical leap, airtime, foot, as shown in display 2102 B, could be the weight distribution shown in display 2102 C, or both with the user cycling through.
  • computer 102 may display a weight distribution measured by distributed sensor 306 .
  • the user may also review weight distributions over time to determine how the user's weight distribution may have affected a user's availability to move or leap.
  • a user may, for example, slide their finger across display to move between displays 2102 A-C.
  • FIG. 22 illustrates example training displays 2202 A-B presenting user-selectable training sessions in accordance with example embodiments.
  • the training sessions may guide the user through a set of movements designed to improve a user's athletic ability.
  • Example training sessions may include a shooting practice, an all around the world game, a buzzer beater game, a pro-player game, a basic game, an air time game, a continuous crossover game, a free throw balance game, a signature moves game, a pro battles game, and a horse game.
  • FIGS. 23-26 For example, computer 102 may have a touchscreen permitting a user to scroll between and select the training sessions shown in FIGS. 23-26 .
  • FIGS. 27-30 illustrate display screens for GUIs for a basketball shooting training session in accordance with example embodiments.
  • training display 2702 may present the user with information on their last session (e.g., shooting percentage for free throws, three pointers, and jump shots) and prompt the user to begin a new session.
  • the computer 102 may monitor touches on a pressure sensitive display screen to track makes and misses. To do so, the computer 102 may monitor how many fingers were used to distinguish between basketball shots. For example, three fingers may be used to indicate a three point shot in basketball, two fingers may be used to indicate a two point shot, and a single finger may be used to indicate a free throw, as seen in FIG. 28 .
  • a tap of one or more fingers on the display screen may indicate a made shot, and a swipe of one or more fingers across a portion of the display screen may indicate a miss.
  • a down swipe across a display screen of computer 102 with one or more fingers may indicate a make and an up swipe with one or more fingers may indicate a miss.
  • the computer 102 may process the user input to determine a number of fingers used as well as between a tap and a swipe.
  • the computer 102 may determine an 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 duration of the touch and if a region of the display screen initially contacted by the user differs from a region of the display screen at the end of the touch to distinguish between a tap and a swipe.
  • the training display 2702 may display information on makes and misses to the user, as seen in FIG. 29 .
  • the training display 2702 may display makes/misses by shot type as well as totals for all shot types.
  • training display 2702 A may display makes and misses for free throws
  • training display 2702 B may display makes and misses for jump shots.
  • Training display 2702 B may aggregate 2 and 3 point basketball shots and may display makes and misses together, or separate displays may present makes and misses for each type of shot.
  • FIG. 30 illustrates example displays for a GUI providing the user with information on a shooting practice session in accordance with example embodiments.
  • Shot summary display 3002 A may permit the user to select all shots or a particular shot type to receive information on percentage of shots made (e.g., 55.6%), a streak of how many shots were made consecutively, and the user's vertical leap “sweet spot” for the makes.
  • the sweet spot may indicate a vertical leap where a user's shooting percentage (e.g., percentage of made shots) exceeds a predetermined amount (e.g., 50%).
  • the computer 102 may process data from the pod sensor 304 and/or from distributed sensor 306 to provide the user information about their makes and misses via the GUI.
  • Shot summary display 3002 B may inform the user which foot was used when jumping as part of a shot along with a height of a vertical leap, and whether a shot was made or missed.
  • Shot summary display 3002 C may provide the user with information about three point shots made and missed.
  • the shot summary display 3002 may provide the user with statistic information as to how their balance affects their shots by indicating how many balanced shots were made and how many off-balanced shots were made.
  • the computer 102 may determine balance based on weight distribution measured by distributed sensor 306 while a user took a shot. If weight is relatively evenly distributed between a user's two feet (i.e., within a certain threshold), the computer 102 may identify a shot as being balanced. When weight is not relatively evenly distributed between a user's two feet (i.e., outside of a certain threshold), the computer 102 may identify a shot as being unbalanced.
  • the shot summary display 3002 C may also provide a user with feedback about their balance and tips to correct any issues with unbalanced weight distribution. For example, field 3004 may indicate how many shots were made when a user's weight was balanced and field 3006 may indicate how many shots were made when a user's weight was off-balance.
  • computer 102 may receive and process data generated by a force sensor to determine a weight distribution during a performance of an exercise task (e.g., shooting a jump shot in basketball).
  • Computer 102 may process user input indicating successful completion of an exercise task (e.g., a make).
  • Computer 102 may associate a detected weight distribution at a time preceding the user input indicating successful completion of the exercise task.
  • computer 102 may process sensor data to identify movement consistent with a basketball shot, and determine a weight distribution starting with detecting lift-off when a user jumps during a jump shot, a period of time prior to lift-off, landing, and a period of time after landing.
  • Computer 102 may monitor weight distribution for these periods of time.
  • computer 102 may process additional user input indicating unsuccessful completion of the exercise task (e.g., a miss).
  • Computer 102 may associate a detected weight distribution at a time preceding the user input with the unsuccessful completion of the exercise task.
  • computer 102 may present to the user information about their weight distribution and about how the distribution has affected the user's ability to complete the exercise task.
  • FIG. 31 illustrates an example display of a GUI informing the user of shooting milestones in accordance with example embodiments.
  • Milestone display 3102 may inform the user of one or more shot thresholds and how many shots a user has made. For example, milestone display 3102 may indicate that a user has made 108 shots, such that the user has reached amateur status, and needs to make an additional 392 shots to achieve the next status level.
  • computer 102 may prompt the user to perform moves similar to the ones used by professional athletes.
  • FIG. 32 illustrates example signature moves displays for a GUI prompting a user to perform a drill to imitate a professional athlete's signature move in accordance with example embodiments.
  • users may create and share signatures moves with other users.
  • a user may input a search query into signature moves display 3202 A to initiate a search for a desired professional athlete.
  • the computer 102 may forward the search query to the server 134 , which may reply with query results.
  • the server 134 may also provide the computer 102 with suggested signature moves for display prior to a user inputting a search query.
  • signature moves display 3202 A computer 102 may display different signature moves for user selection.
  • signature moves display 3202 B may present video of the signature move and provide the professional's performance metrics for the move.
  • the computer 102 may, for instance, query the server 134 for signature move data in response to the user's selection to generate signature moves display 3202 B.
  • the signature move data may include data from pod sensor 304 and distributed sensor 306 of a professional athlete performing a 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.
  • the computer 102 may inform the user how well they successfully imitated the move. To identify a match, the computer 102 may compare data obtained from pod sensor 304 and/or distributed sensor 306 with the signature move data to determine if the two are similar. The computer 102 may monitor how long a user took to complete the signature move, a vertical leap of the user, airtime of the user, tempo of the user, or other information and compare this data to corresponding data from the professional athlete. The computer 102 may also indicate how accurately the user imitated the signature move of the professional athlete, as shown in signature moves display 3202 C. Accuracy may be based on a combination of how similar each of the performance metrics is to the professional's.
  • the computer 102 may weight certain metrics more highly than others, or may weight each metric equally.
  • the signature move data may provide information on three different metrics, and may compare the user's data to each of the three metrics.
  • the computer 102 may determine a ratio of the user's performance metric to the professional's metric and may identify a match if the ratio is above a threshold (e.g., more than 80%). Accuracy also may be determined in other manners.
  • computer 102 may receive signature move data corresponding to acceleration and force measurement data measured by a first user (e.g., a professional athlete) performing a sequence of exercise tasks (e.g., cuts in basketball followed by a dunk).
  • Computer 102 may receive and process user data generated by at least one of sensors 304 and 306 by monitoring a second user attempting to perform the same sequence of exercise tasks.
  • Computer 102 may then generate a similarity metric indicating how similar the user data is to the signature move data.
  • Computer 102 may also provide the user with data on performance metrics from other users and/or professional athletes for comparison as part of a social network.
  • FIG. 33 illustrates example displays of a GUI for searching for other users and/or professional athletes for comparison of performance metrics in accordance with example embodiments.
  • Computer 102 may communicate with the server 134 to identify professional athletes or friends of the user, as seen in display 3302 A. Each individual may be associated with a unique identifier. For example, the user may select to add a friend or a professional, as seen in the GUI display on the left.
  • the user may input a search query into the computer 102 for communication to the server 134 , which may respond with people and/or professional athletes matching the search query, as seen in display 3302 B.
  • the user may establish a user profile to identify their friends and/or favorite professional athletes so that the computer 102 may automatically load these individuals, as seen in display 3302 C.
  • Computer 102 may present data for sharing with friends and/or posted to a social networking website.
  • display 3402 A provides information for sharing, including points, top vertical, total airtime, and top tempo.
  • Display 3402 B provides a side by side comparison of performance metrics of a user and an identified friend.
  • the server 134 may store performance metric data on each user and may communicate the data with computer 102 of the other user upon request.
  • FIG. 35 illustrates example displays for comparing a user's performance metrics to other individuals in accordance with example embodiments.
  • display 3502 A may provide a leader board for comparison of a user's performance metric to friends, selected professional athletes, or all other users including professional athletes.
  • Example leader boards may be for a top vertical, a top tempo, a total airtime, total games played, total awards won, or for other performance metrics.
  • Display 3502 B permits a user to view individuals whose performance metrics indicate they are in and are not in a performance zone (e.g., dunk zone).
  • Computer 102 may also permit the user to compare their performance metrics to a particular group (e.g., friends) or to all users.
  • FIG. 36 illustrates a flow diagram of an example method for determining whether physical data obtained monitoring a user performing a physical activity is within a performance zone in accordance with example embodiments.
  • the method of FIG. 36 may be implemented by a computer, such as, for example, the computer 102 , server 134 , a distributed computing system, a cloud computer, other apparatus, and combinations thereof.
  • the order of the steps shown in FIG. 36 may also be rearranged, additional steps may be included, some steps may be removed, and some steps may be repeated one or more times.
  • the method may begin at block 3602 .
  • the method may include processing input specifying a user attribute.
  • computer 102 may prompt the user to input on one or more user attributes.
  • Example user attributes may include height, weight, arm length, torso length, leg length, wing span, etc.
  • user may specify their body length. Body length may be a measurement of how high a user can reach one of their hands while keeping the opposite foot on the floor.
  • the method may include adjusting a performance zone based on the user attribute.
  • computer 102 may adjust a performance zone relating to how high a user must jump to dunk a basketball based on one or more of user height, arm length, torso length, and leg length.
  • the performance zone may specify a lower minimum jump height to dunk a basketball as compared with a minimum jump height required for a smaller user to dunk or reach a basketball rim.
  • the method may include receiving data generated by a sensor.
  • computer 102 may receive data from at least one of sensor 304 and 306 during an exercise session in which the user performs one or more jumps.
  • the data may be raw signals or may be data processed by the sensors prior to sending to computer 102 .
  • the method may include determining whether the data is within the performance zone.
  • computer 102 may process data received from at least one of sensor 206 and 304 to determine if any jump performed by the user met or exceeded the minimum jump height of the performance zone tailored to the user's attributes. For example, computer 102 may determine that a minimum vertical leap of 30 inches would be required for a user to dunk a basketball, based on the user attributes. Computer 102 may process data received from at least one of sensor 304 and 306 to determine whether any jump performed by the user met or exceeded 30 inches.
  • computer 102 may process data generated by at least one of an accelerometer and a force sensor, and comparing the data to jump data to determine that the data is consistent with a jump (e.g., that a user sitting on a chair didn't merely lift their feet off of the ground for a predetermined amount of time).
  • Computer 102 may, in response to the comparing, process data generated by at least one of an accelerometer and a force sensor to determine a lift off time, a landing time, and a loft time.
  • Computer 102 may calculate vertical leap based on the loft time.
  • the method may include outputting the determination.
  • computer 102 may output the determination of whether the user was within the performance zone.
  • the output may be at least one of audible and visual.
  • Computer 102 may provide the output immediately upon detecting the user is within the performance zone, or may output the determination at some later time (e.g., post workout). The method may then end, or may return to any of the preceding steps.

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US13/399,452 Active 2033-01-11 US9411940B2 (en) 2011-02-17 2012-02-17 Selecting and correlating physical activity data with image data
US15/197,014 Active US10179263B2 (en) 2011-02-17 2016-06-29 Selecting and correlating physical activity data with image data
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Cited By (112)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110060537A1 (en) * 2009-09-08 2011-03-10 Patrick Moodie Apparatus and method for physical evaluation
US20130282324A1 (en) * 2012-04-19 2013-10-24 Abraham Carter Matching System for Correlating Accelerometer Data to Known Movements
US20140111352A1 (en) * 2012-10-22 2014-04-24 Madison J. Doherty System and apparatus for graphical athletic performance analysis
US20140278125A1 (en) * 2013-03-14 2014-09-18 Nike, Inc. Apparel and Location Information System
WO2014160538A3 (en) * 2013-03-25 2014-12-31 Jafarifesharaki Kiarash System and method for tracking fitness progress
WO2015061676A1 (en) * 2013-10-24 2015-04-30 Laws Jerl Lamont Training system and method
US9042596B2 (en) 2012-06-14 2015-05-26 Medibotics Llc Willpower watch (TM)—a wearable food consumption monitor
WO2015094717A1 (en) * 2013-12-18 2015-06-25 Assess2Perform, LLC Exercise tracking and analysis systems and related methods of use
US20150199775A1 (en) * 2014-01-14 2015-07-16 Deere & Company Agronomic variation and team performance analysis
US9129153B2 (en) 2013-06-12 2015-09-08 ShotTracker, Inc. Basketball shot-tracking system
US9171201B2 (en) 2013-05-30 2015-10-27 Atlas Wearables, Inc. Portable computing device and analyses of personal data captured therefrom
US9254099B2 (en) 2013-05-23 2016-02-09 Medibotics Llc Smart watch and food-imaging member for monitoring food consumption
US20160096071A1 (en) * 2014-10-07 2016-04-07 ShotTracker, Inc. Real-time event monitoring system for basketball-related activities
USD755193S1 (en) * 2013-12-02 2016-05-03 Tencent Technology (Shenzhen) Company Limited Display screen with graphical user interface
US9352411B2 (en) 2008-05-28 2016-05-31 Illinois Tool Works Inc. Welding training system
US9368045B2 (en) 2012-11-09 2016-06-14 Illinois Tool Works Inc. System and device for welding training
US9442100B2 (en) 2013-12-18 2016-09-13 Medibotics Llc Caloric intake measuring system using spectroscopic and 3D imaging analysis
USD767605S1 (en) * 2013-03-15 2016-09-27 Dexcom, Inc. Display screen or portion thereof with a graphical user interface with icons
US9511443B2 (en) 2012-02-10 2016-12-06 Illinois Tool Works Inc. Helmet-integrated weld travel speed sensing system and method
US9529385B2 (en) 2013-05-23 2016-12-27 Medibotics Llc Smart watch and human-to-computer interface for monitoring food consumption
US9536449B2 (en) 2013-05-23 2017-01-03 Medibotics Llc Smart watch and food utensil for monitoring food consumption
USD778929S1 (en) * 2013-03-15 2017-02-14 Dexcom, Inc. Display screen or portion thereof with graphical user interface
US9583023B2 (en) 2013-03-15 2017-02-28 Illinois Tool Works Inc. Welding torch for a welding training system
US9583014B2 (en) 2012-11-09 2017-02-28 Illinois Tool Works Inc. System and device for welding training
US9589481B2 (en) 2014-01-07 2017-03-07 Illinois Tool Works Inc. Welding software for detection and control of devices and for analysis of data
US20170082433A1 (en) * 2015-09-17 2017-03-23 Apple Inc. Wearable ambient pressure gauge
US20170107800A1 (en) * 2015-10-14 2017-04-20 Fourth Dimension Designs Ltd. Plunger impact sensor
US20170124530A1 (en) * 2015-11-04 2017-05-04 Schneider Electric It Corporation Systems and methods for an environmental event and task manager
USD786921S1 (en) * 2014-06-01 2017-05-16 Apple Inc. Display screen or portion thereof with graphical user interface
US9666100B2 (en) 2013-03-15 2017-05-30 Illinois Tool Works Inc. Calibration devices for a welding training system
USD788808S1 (en) * 2014-09-02 2017-06-06 Apple Inc. Display screen or portion thereof with animated graphical user interface
US9672757B2 (en) 2013-03-15 2017-06-06 Illinois Tool Works Inc. Multi-mode software and method for a welding training system
US9713852B2 (en) 2013-03-15 2017-07-25 Illinois Tool Works Inc. Welding training systems and devices
US9724787B2 (en) 2014-08-07 2017-08-08 Illinois Tool Works Inc. System and method of monitoring a welding environment
US9728103B2 (en) 2013-03-15 2017-08-08 Illinois Tool Works Inc. Data storage and analysis for a welding training system
US9724788B2 (en) 2014-01-07 2017-08-08 Illinois Tool Works Inc. Electrical assemblies for a welding system
US9751149B2 (en) 2014-01-07 2017-09-05 Illinois Tool Works Inc. Welding stand for a welding system
US9757819B2 (en) 2014-01-07 2017-09-12 Illinois Tool Works Inc. Calibration tool and method for a welding system
USD797787S1 (en) * 2015-06-30 2017-09-19 Honeywell International Inc. Display screen or portion thereof with graphical interface for display of alarm indicators
USD805089S1 (en) 2016-12-23 2017-12-12 Apple Inc. Display screen or portion thereof with graphical user interface
US9862049B2 (en) 2014-06-27 2018-01-09 Illinois Tool Works Inc. System and method of welding system operator identification
US9875665B2 (en) 2014-08-18 2018-01-23 Illinois Tool Works Inc. Weld training system and method
US9892376B2 (en) 2014-01-14 2018-02-13 Deere & Company Operator performance report generation
US9937578B2 (en) 2014-06-27 2018-04-10 Illinois Tool Works Inc. System and method for remote welding training
US10056010B2 (en) 2013-12-03 2018-08-21 Illinois Tool Works Inc. Systems and methods for a weld training system
US10096268B2 (en) 2011-08-10 2018-10-09 Illinois Tool Works Inc. System and device for welding training
US10105782B2 (en) 2014-01-07 2018-10-23 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US10159888B2 (en) 2015-11-10 2018-12-25 ShotTracker, Inc. Location and event tracking system for games of sport
US10170019B2 (en) 2014-01-07 2019-01-01 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
USD838278S1 (en) * 2016-09-29 2019-01-15 United Services Automobile Association (Usaa) Display screen or portion thereof with a payday forecast graphical user interface
US10188890B2 (en) 2013-12-26 2019-01-29 Icon Health & Fitness, Inc. Magnetic resistance mechanism in a cable machine
US10204406B2 (en) 2014-11-05 2019-02-12 Illinois Tool Works Inc. System and method of controlling welding system camera exposure and marker illumination
US10210773B2 (en) 2014-11-05 2019-02-19 Illinois Tool Works Inc. System and method for welding torch display
US10212986B2 (en) * 2012-12-09 2019-02-26 Arris Enterprises Llc System, apparel, and method for identifying performance of workout routines
US10220259B2 (en) 2012-01-05 2019-03-05 Icon Health & Fitness, Inc. System and method for controlling an exercise device
US10226396B2 (en) 2014-06-20 2019-03-12 Icon Health & Fitness, Inc. Post workout massage device
US10238941B2 (en) 2014-10-07 2019-03-26 ShotTracker, Inc. Basketball net which detects shots that have been made successfully
US10239147B2 (en) 2014-10-16 2019-03-26 Illinois Tool Works Inc. Sensor-based power controls for a welding system
US10272317B2 (en) 2016-03-18 2019-04-30 Icon Health & Fitness, Inc. Lighted pace feature in a treadmill
US10279212B2 (en) 2013-03-14 2019-05-07 Icon Health & Fitness, Inc. Strength training apparatus with flywheel and related methods
US10310455B2 (en) 2017-06-19 2019-06-04 Deere & Company Combine harvester control and communication system
US10307853B2 (en) 2014-06-27 2019-06-04 Illinois Tool Works Inc. System and method for managing welding data
US10314492B2 (en) 2013-05-23 2019-06-11 Medibotics Llc Wearable spectroscopic sensor to measure food consumption based on interaction between light and the human body
US10373304B2 (en) 2014-11-05 2019-08-06 Illinois Tool Works Inc. System and method of arranging welding device markers
US10373517B2 (en) 2015-08-12 2019-08-06 Illinois Tool Works Inc. Simulation stick welding electrode holder systems and methods
US10380704B2 (en) 2014-01-14 2019-08-13 Deere & Company Operator performance recommendation generation
US10391361B2 (en) 2015-02-27 2019-08-27 Icon Health & Fitness, Inc. Simulating real-world terrain on an exercise device
US10402959B2 (en) 2014-11-05 2019-09-03 Illinois Tool Works Inc. System and method of active torch marker control
US10417934B2 (en) 2014-11-05 2019-09-17 Illinois Tool Works Inc. System and method of reviewing weld data
US10426989B2 (en) 2014-06-09 2019-10-01 Icon Health & Fitness, Inc. Cable system incorporated into a treadmill
US10427239B2 (en) 2015-04-02 2019-10-01 Illinois Tool Works Inc. Systems and methods for tracking weld training arc parameters
US10438505B2 (en) 2015-08-12 2019-10-08 Illinois Tool Works Welding training system interface
US10433612B2 (en) 2014-03-10 2019-10-08 Icon Health & Fitness, Inc. Pressure sensor to quantify work
US10437243B2 (en) 2017-06-19 2019-10-08 Deere & Company Combine harvester control interface for operator and/or remote user
US10453018B2 (en) 2014-01-14 2019-10-22 Deere & Company Agricultural information sensing and retrieval
US10490098B2 (en) 2014-11-05 2019-11-26 Illinois Tool Works Inc. System and method of recording multi-run data
US10493349B2 (en) 2016-03-18 2019-12-03 Icon Health & Fitness, Inc. Display on exercise device
USD871425S1 (en) 2014-09-02 2019-12-31 Apple Inc. Display screen or portion thereof with graphical user interface
US10545132B2 (en) 2013-06-25 2020-01-28 Lifescan Ip Holdings, Llc Physiological monitoring system communicating with at least a social network
USD875770S1 (en) 2016-06-11 2020-02-18 Apple Inc. Display screen or portion thereof with graphical user interface
USD876464S1 (en) * 2018-07-13 2020-02-25 Apple Inc. Electronic device with graphical user interface
US10593230B2 (en) 2015-08-12 2020-03-17 Illinois Tool Works Inc. Stick welding electrode holder systems and methods
US10625137B2 (en) 2016-03-18 2020-04-21 Icon Health & Fitness, Inc. Coordinated displays in an exercise device
US10657839B2 (en) 2015-08-12 2020-05-19 Illinois Tool Works Inc. Stick welding electrode holders with real-time feedback features
US10665128B2 (en) 2014-06-27 2020-05-26 Illinois Tool Works Inc. System and method of monitoring welding information
US10671705B2 (en) 2016-09-28 2020-06-02 Icon Health & Fitness, Inc. Customizing recipe recommendations
US10694668B2 (en) 2017-06-19 2020-06-30 Deere & Company Locally controlling settings on a combine harvester based on a remote settings adjustment
US10782672B2 (en) 2018-05-15 2020-09-22 Deere & Company Machine control system using performance score based setting adjustment
US10862350B2 (en) 2018-03-27 2020-12-08 Ddsports, Inc. Wireless charging pod and charging pod rack for game devices with rechargeable batteries
USD918259S1 (en) * 2015-03-06 2021-05-04 Apple Inc. Display screen or portion thereof with icon
US11014183B2 (en) 2014-08-07 2021-05-25 Illinois Tool Works Inc. System and method of marking a welding workpiece
US11027172B2 (en) 2018-03-23 2021-06-08 Thomas W. OSBRINK Device and methods for improved resistance training
USD921669S1 (en) 2019-09-09 2021-06-08 Apple Inc. Display screen or portion thereof with animated graphical user interface
US11090753B2 (en) 2013-06-21 2021-08-17 Illinois Tool Works Inc. System and method for determining weld travel speed
USD939573S1 (en) * 2020-08-11 2021-12-28 Proxy, Inc. Display screen or portion thereof with animated graphical user interface
USD939574S1 (en) * 2020-08-11 2021-12-28 Proxy, Inc. Display screen or portion thereof with animated graphical user interface
US11247289B2 (en) 2014-10-16 2022-02-15 Illinois Tool Works Inc. Remote power supply parameter adjustment
US11266883B2 (en) 2019-06-17 2022-03-08 Ddsports, Inc. Sports ball with electronics housed in shock-absorbing carrier
US11288978B2 (en) 2019-07-22 2022-03-29 Illinois Tool Works Inc. Gas tungsten arc welding training systems
USD954078S1 (en) * 2020-08-13 2022-06-07 W.W. Grainger, Inc. Computer display screen or portion thereof with graphical user interface
USD954077S1 (en) * 2020-08-13 2022-06-07 W.W. Grainger, Inc. Computer display screen or portion thereof with graphical user interface
USD961603S1 (en) 2019-06-01 2022-08-23 Apple Inc. Electronic device with animated graphical user interface
USD962246S1 (en) 2019-06-02 2022-08-30 Apple Inc. Electronic device with graphical user interface
USD974371S1 (en) 2020-07-29 2023-01-03 Apple Inc. Display screen or portion thereof with graphical user interface
US11589507B2 (en) 2017-06-19 2023-02-28 Deere & Company Combine harvester control interface for operator and/or remote user
USD996449S1 (en) * 2020-12-24 2023-08-22 Samsung Electronics Co., Ltd. Display screen or portion thereof with graphical user interface
US11776423B2 (en) 2019-07-22 2023-10-03 Illinois Tool Works Inc. Connection boxes for gas tungsten arc welding training systems
US11789413B2 (en) 2017-06-19 2023-10-17 Deere & Company Self-learning control system for a mobile machine
USD1032631S1 (en) * 2022-06-08 2024-06-25 Prevue Holdings, Llc. Display screen with graphical user interface
USD1042495S1 (en) * 2022-06-05 2024-09-17 Apple Inc. Display screen or portion thereof with graphical user interface
USD1042513S1 (en) 2022-06-03 2024-09-17 Apple Inc. Display screen or portion thereof with graphical user interface
US12131663B2 (en) 2020-11-17 2024-10-29 Illinois Tool Works Inc. System and method of monitoring welding information

Families Citing this family (210)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8106856B2 (en) 2006-09-06 2012-01-31 Apple Inc. Portable electronic device for photo management
US7771320B2 (en) 2006-09-07 2010-08-10 Nike, Inc. Athletic performance sensing and/or tracking systems and methods
EP3260969B1 (en) 2009-09-22 2021-03-03 Apple Inc. Device, method, and graphical user interface for manipulating user interface objects
US10751579B2 (en) 2009-11-19 2020-08-25 Wilson Sporting Goods Co. Football sensing
US9636550B2 (en) 2009-11-19 2017-05-02 Wilson Sporting Goods Co. Football sensing
US10668333B2 (en) 2009-11-19 2020-06-02 Wilson Sporting Goods Co. Football sensing
US10821329B2 (en) 2009-11-19 2020-11-03 Wilson Sporting Goods Co. Football sensing
US9607652B2 (en) 2010-08-26 2017-03-28 Blast Motion Inc. Multi-sensor event detection and tagging system
WO2012112903A2 (en) * 2011-02-17 2012-08-23 Nike International Ltd. Location mapping
US20120311462A1 (en) * 2011-05-12 2012-12-06 John Devecka System and method for an interactive mobile-optimized icon-based professional profile display and associated search, matching and social network
US9098529B1 (en) * 2011-05-25 2015-08-04 Google Inc. Determining content for delivery based on imagery
GB2492317A (en) * 2011-06-16 2013-01-02 Sony Comp Entertainment Europe Leaderboard system
US10118078B2 (en) 2011-11-02 2018-11-06 Toca Football, Inc. System, apparatus and method for ball throwing machine and intelligent goal
US10446049B2 (en) 2012-02-28 2019-10-15 Kevin L. Martin Physical training system and method
JP5994306B2 (ja) * 2012-03-15 2016-09-21 ソニー株式会社 情報処理装置、情報処理システムおよびプログラム
CN103677320B (zh) * 2012-08-30 2018-09-25 索尼公司 遥控器、远端设备、多媒体系统及控制方法
US10152898B2 (en) * 2012-09-14 2018-12-11 The University Of North Carolina At Greensboro Virtual reality training to enhance physical rehabilitation
WO2014057371A1 (en) * 2012-10-09 2014-04-17 Nokia Corporation Method and apparatus for utilizing sensor data for auto bookmarking of information
WO2014062985A1 (en) 2012-10-17 2014-04-24 University Of Maryland, Office Of Technology Commercialization Device and methods of using device for detection of aminoacidopathies
US9060682B2 (en) * 2012-10-25 2015-06-23 Alpinereplay, Inc. Distributed systems and methods to measure and process sport motions
US9881398B2 (en) * 2012-11-06 2018-01-30 Applied Materials, Inc. Trend dynamic sensor imaging using contour maps to visualize multiple trend data sets in a single view
US9492724B2 (en) 2012-11-09 2016-11-15 Wilson Sporting Goods Co. Sport performance system with ball sensing
US10252118B2 (en) * 2012-11-09 2019-04-09 Wilson Sporting Goods Co. Basketball with electronics
US9656143B2 (en) * 2012-11-09 2017-05-23 Wilson Sporting Goods Co. Basketball shot determination system
US9901801B2 (en) 2012-11-09 2018-02-27 Wilson Sporting Goods Co. Basketball sensing apparatus
US9656140B2 (en) 2012-11-09 2017-05-23 Wilson Sporting Goods Co. Sport performance system with ball sensing
US9623311B2 (en) 2012-11-09 2017-04-18 Wilson Sporting Goods Co. Basketball sensing apparatus
US9656142B2 (en) 2012-11-09 2017-05-23 Wilson Sporting Goods Co. Basketball shot determination system
US10159884B2 (en) 2012-11-09 2018-12-25 Wilson Sporting Goods Co. Basketball make-miss shot sensing
US9844704B2 (en) * 2012-11-09 2017-12-19 Wilson Sporting Goods Co. Basketball sensing apparatus
US10912131B2 (en) 2012-12-03 2021-02-02 Samsung Electronics Co., Ltd. Method and mobile terminal for controlling bluetooth low energy device
WO2014100045A1 (en) 2012-12-17 2014-06-26 Qi2 ELEMENTS II, LLC Foot-mounted sensor systems for tracking body movement
US9295413B2 (en) * 2013-01-17 2016-03-29 Garmin Switzerland Gmbh Fitness monitor
USD732055S1 (en) * 2013-01-18 2015-06-16 Aetrex Worldwide, Inc. Display screen with graphical user interface
US9384671B2 (en) 2013-02-17 2016-07-05 Ronald Charles Krosky Instruction production
EP2770454A1 (en) * 2013-02-22 2014-08-27 NIKE Innovate C.V. Activity monitoring, tracking and synchronization
FI129951B (en) * 2013-03-15 2022-11-30 Suunto Oy System and method for editing a graphical user interface for personal devices
AU2014237893B2 (en) 2013-03-15 2018-11-08 Empi, Inc. Personalized image-based guidance for energy-based therapeutic devices
US9685003B2 (en) 2013-06-03 2017-06-20 Microsoft Technology Licensing, Llc Mixed reality data collaboration
US9517417B2 (en) 2013-06-06 2016-12-13 Zih Corp. Method, apparatus, and computer program product for performance analytics determining participant statistical data and game status data
US11423464B2 (en) 2013-06-06 2022-08-23 Zebra Technologies Corporation Method, apparatus, and computer program product for enhancement of fan experience based on location data
US10609762B2 (en) 2013-06-06 2020-03-31 Zebra Technologies Corporation Method, apparatus, and computer program product improving backhaul of sensor and other data to real time location system network
US9699278B2 (en) 2013-06-06 2017-07-04 Zih Corp. Modular location tag for a real time location system network
US10437658B2 (en) 2013-06-06 2019-10-08 Zebra Technologies Corporation Method, apparatus, and computer program product for collecting and displaying sporting event data based on real time data for proximity and movement of objects
US9715005B2 (en) 2013-06-06 2017-07-25 Zih Corp. Method, apparatus, and computer program product improving real time location systems with multiple location technologies
US20140365194A1 (en) 2013-06-06 2014-12-11 Zih Corp. Method, apparatus, and computer program product for dynamics/kinetics model selection
JP6205901B2 (ja) * 2013-06-28 2017-10-04 カシオ計算機株式会社 計測装置、計測方法及びプログラム
CN105683976A (zh) * 2013-08-23 2016-06-15 耐克创新有限合伙公司 能量消耗设备
US10292648B2 (en) 2013-08-23 2019-05-21 Nike, Inc. Energy expenditure device
JP6362701B2 (ja) * 2013-08-23 2018-07-25 ナイキ イノベイト シーブイ アスレチック活動セッションおよびグループ
CN103456197A (zh) * 2013-09-18 2013-12-18 重庆创思特科技有限公司 教学用无线智能体感交互前端
US9682280B1 (en) * 2013-09-20 2017-06-20 Sparta Software Corporation System for analysing athletic movement
US9223855B1 (en) * 2013-09-20 2015-12-29 Sparta Performance Science Llc Method and system for training athletes based on athletic signatures and a classification thereof
US9737758B1 (en) * 2013-09-20 2017-08-22 Sparta Software Corporation Method and system for generating athletic signatures
CN104580325A (zh) * 2013-10-28 2015-04-29 腾讯科技（深圳）有限公司 一种用户配对方法及装置、数据交换方法、装置及系统
US9529011B2 (en) 2013-12-02 2016-12-27 Nike, Inc. Flight time
US12080421B2 (en) 2013-12-04 2024-09-03 Apple Inc. Wellness aggregator
US20160019360A1 (en) 2013-12-04 2016-01-21 Apple Inc. Wellness aggregator
EP3088059A4 (en) * 2013-12-27 2017-08-09 Sony Corporation Analysis device, recording medium, and analysis method
WO2015098260A1 (ja) * 2013-12-27 2015-07-02 ソニー株式会社 解析装置、記録媒体および解析方法
WO2015098301A1 (ja) * 2013-12-27 2015-07-02 ソニー株式会社 解析装置、記録媒体および解析方法
KR101584201B1 (ko) 2014-01-13 2016-01-13 삼성전자주식회사 반도체 발광소자 및 이의 제조방법
US9717970B2 (en) * 2014-01-21 2017-08-01 A. Alex Wortman Sleeve to improve swinging motion
US9283452B2 (en) * 2014-01-21 2016-03-15 A. Alex Wortman System to improve swinging motion
CN103888842B (zh) * 2014-04-17 2018-01-19 江苏银河电子股份有限公司 基于智能机顶盒的有线电视视频画面信息数据的获取方法
JP6431281B2 (ja) * 2014-04-30 2018-11-28 株式会社Ｎｔｔドコモ 情報処理装置及び情報処理方法
KR101622338B1 (ko) 2014-05-19 2016-05-18 주식회사 아카인텔리전스 실시간 운동 정보 관리 시스템
CN106461754B (zh) 2014-06-05 2019-10-11 斑马技术公司 用于自适应开窗和高分辨率toa确定的接收器处理器
US10261169B2 (en) 2014-06-05 2019-04-16 Zebra Technologies Corporation Method for iterative target location in a multiple receiver target location system
US9668164B2 (en) 2014-06-05 2017-05-30 Zih Corp. Receiver processor for bandwidth management of a multiple receiver real-time location system (RTLS)
US9626616B2 (en) 2014-06-05 2017-04-18 Zih Corp. Low-profile real-time location system tag
US9953195B2 (en) 2014-06-05 2018-04-24 Zih Corp. Systems, apparatus and methods for variable rate ultra-wideband communications
US20150375083A1 (en) 2014-06-05 2015-12-31 Zih Corp. Method, Apparatus, And Computer Program Product For Enhancement Of Event Visualizations Based On Location Data
US9661455B2 (en) 2014-06-05 2017-05-23 Zih Corp. Method, apparatus, and computer program product for real time location system referencing in physically and radio frequency challenged environments
US9759803B2 (en) 2014-06-06 2017-09-12 Zih Corp. Method, apparatus, and computer program product for employing a spatial association model in a real time location system
AU2015270105A1 (en) 2014-06-06 2016-12-22 Zih Corp. Method, apparatus, and computer program product improving real time location systems with multiple location technologies
US9288556B2 (en) * 2014-06-18 2016-03-15 Zikto Method and apparatus for measuring body balance of wearable device
US9916001B2 (en) 2014-07-08 2018-03-13 Wilson Sporting Goods Co. Sport equipment input mode control
US10307643B2 (en) * 2014-07-10 2019-06-04 Nike, Inc. Athletic team integrated communication, notification, and scheduling system
US9398213B1 (en) 2014-07-11 2016-07-19 ProSports Technologies, LLC Smart field goal detector
US9474933B1 (en) 2014-07-11 2016-10-25 ProSports Technologies, LLC Professional workout simulator
US9502018B2 (en) 2014-07-11 2016-11-22 ProSports Technologies, LLC Whistle play stopper
US9724588B1 (en) 2014-07-11 2017-08-08 ProSports Technologies, LLC Player hit system
US9305441B1 (en) 2014-07-11 2016-04-05 ProSports Technologies, LLC Sensor experience shirt
US9610491B2 (en) 2014-07-11 2017-04-04 ProSports Technologies, LLC Playbook processor
US20180227735A1 (en) 2014-08-25 2018-08-09 Phyziio, Inc. Proximity-Based Attribution of Rewards
CN111180040B (zh) 2014-09-02 2023-11-10 苹果公司 身体活动和健身监视器
CN104268372B (zh) * 2014-09-09 2017-08-29 联想(北京)有限公司 一种数据处理方法及装置
US10264175B2 (en) 2014-09-09 2019-04-16 ProSports Technologies, LLC Facial recognition for event venue cameras
US9952675B2 (en) * 2014-09-23 2018-04-24 Fitbit, Inc. Methods, systems, and apparatuses to display visibility changes responsive to user gestures
US10133795B2 (en) * 2014-10-06 2018-11-20 Salesforce.Com, Inc. Personalized metric tracking
AU2015349817B2 (en) * 2014-11-20 2020-06-11 Blast Motion Inc. Video and motion event integration system
US10258828B2 (en) 2015-01-16 2019-04-16 Icon Health & Fitness, Inc. Controls for an exercise device
CN107206273A (zh) * 2015-01-23 2017-09-26 皇家飞利浦有限公司 调节身体活动的总体持续时间
EP3254268A4 (en) * 2015-02-02 2018-07-18 GN IP Pty Ltd Frameworks, devices and methodologies configured to enable delivery of interactive skills training content, including content with multiple selectable expert knowledge variations
US10806982B2 (en) 2015-02-02 2020-10-20 Rlt Ip Ltd Frameworks, devices and methodologies configured to provide of interactive skills training content, including delivery of adaptive training programs based on analysis of performance sensor data
US20160260340A1 (en) * 2015-02-07 2016-09-08 Alan Discount Automated sports training workflow, delivery and tracking system
TWI549499B (zh) * 2015-02-17 2016-09-11 Zan Quan Technology Co Ltd A system for automatically recording motion data and a method thereof
CN104794558A (zh) * 2015-03-16 2015-07-22 湖南简成信息技术有限公司 基于位置服务的户外活动控制方法及装置
CN106139561A (zh) * 2015-03-26 2016-11-23 阿里巴巴集团控股有限公司 一种多运动属性呈现方法和装置
DE102015207415A1 (de) * 2015-04-23 2016-10-27 Adidas Ag Verfahren und Gerät zum Verknüpfen von Bildern in einem Video einer Aktivität einer Person mit einem Ereignis
JP6999543B2 (ja) * 2015-05-08 2022-01-18 アールエルティー アイピー リミテッド インタラクティブスキルトレーニングコンテンツの配信への応用を含む、身体的に実行されるスキルの分析を可能にするように構成されるフレームワークおよび方法
EP3295324A4 (en) 2015-05-08 2018-10-24 GN IP Pty Ltd Frameworks, devices and methodologies configured to enable automated categorisation and/or searching of media data based on user performance attributes derived from performance sensor units
JP2016220879A (ja) * 2015-05-29 2016-12-28 セイコーエプソン株式会社 運動計測装置、運動計測システム、運動計測方法、及び運動計測プログラム
EP3304358A1 (en) * 2015-06-05 2018-04-11 Hexagon Technology Center GmbH Method and apparatus for performing a geometric transformation on objects in an object-oriented environment using a multiple-transaction technique
CN106339654A (zh) * 2015-07-06 2017-01-18 无锡天脉聚源传媒科技有限公司 一种半自动识别人物的方法及装置
US10537764B2 (en) 2015-08-07 2020-01-21 Icon Health & Fitness, Inc. Emergency stop with magnetic brake for an exercise device
WO2017030212A1 (ko) * 2015-08-18 2017-02-23 엘지전자(주) 이동 단말기 및 그 제어 방법
EP4327731A3 (en) 2015-08-20 2024-05-15 Apple Inc. Exercise-based watch face
US10953305B2 (en) 2015-08-26 2021-03-23 Icon Health & Fitness, Inc. Strength exercise mechanisms
CN105233459B (zh) * 2015-10-16 2019-02-01 湖南师范大学 跳远训练装置及其方法
CA171409S (en) * 2015-10-20 2017-09-15 Podimetrics Inc Electronic display screen
WO2017096436A1 (en) 2015-12-10 2017-06-15 Guided Knowledge Ip Pty Ltd Frameworks and methodologies configured to enable real-time adaptive delivery of skills training data based on monitoring of user performance via performance monitoring hardware
EP3196597A1 (en) * 2016-01-21 2017-07-26 Sony Mobile Communications, Inc. A system and method for linking oscillating movements of exercise equipment to a user of the exercise equipment in a database
US20170270415A1 (en) * 2016-03-15 2017-09-21 Sony Corporation Electronic device, system, and method
US10293211B2 (en) 2016-03-18 2019-05-21 Icon Health & Fitness, Inc. Coordinated weight selection
US10561894B2 (en) 2016-03-18 2020-02-18 Icon Health & Fitness, Inc. Treadmill with removable supports
JP2017176207A (ja) * 2016-03-28 2017-10-05 セイコーエプソン株式会社 パフォーマンス情報通知装置、パフォーマンス情報通知方法、およびパフォーマンス情報通知プログラム
KR101893778B1 (ko) * 2016-03-29 2018-08-31 강성우 물받이 시트의 제조장치
GB2549513A (en) * 2016-04-20 2017-10-25 Impact Tech Labs Ltd An inner sole for a shoe
US10252109B2 (en) 2016-05-13 2019-04-09 Icon Health & Fitness, Inc. Weight platform treadmill
CN106096275A (zh) * 2016-06-08 2016-11-09 中国科学院合肥物质科学研究院 一种以运动干预为核心的慢病管理系统
DK201770423A1 (en) 2016-06-11 2018-01-15 Apple Inc Activity and workout updates
CN109417679A (zh) * 2016-06-20 2019-03-01 音力发电株式会社 控制系统
US10471299B2 (en) 2016-07-01 2019-11-12 Icon Health & Fitness, Inc. Systems and methods for cooling internal exercise equipment components
US10441844B2 (en) 2016-07-01 2019-10-15 Icon Health & Fitness, Inc. Cooling systems and methods for exercise equipment
US9876889B1 (en) 2016-07-13 2018-01-23 Play Impossible Corporation Smart playable device and charging systems and methods
US20180018900A1 (en) * 2016-07-15 2018-01-18 Under Armour, Inc. System and Method for Monitoring a Style of Play
US10628663B2 (en) 2016-08-26 2020-04-21 International Business Machines Corporation Adapting physical activities and exercises based on physiological parameter analysis
US11703955B2 (en) 2016-09-13 2023-07-18 Xin Tian Methods and devices for information acquisition, detection, and application of foot gestures
US11216080B2 (en) 2016-09-13 2022-01-04 Xin Tian Methods and devices for information acquisition, detection, and application of foot gestures
US10448892B2 (en) * 2016-09-13 2019-10-22 Xin Tian Compass-sensor embedded footwear system and operation method thereof
US10736543B2 (en) 2016-09-22 2020-08-11 Apple Inc. Workout monitor interface
US10500473B2 (en) 2016-10-10 2019-12-10 Icon Health & Fitness, Inc. Console positioning
US10207148B2 (en) 2016-10-12 2019-02-19 Icon Health & Fitness, Inc. Systems and methods for reducing runaway resistance on an exercise device
US10376736B2 (en) 2016-10-12 2019-08-13 Icon Health & Fitness, Inc. Cooling an exercise device during a dive motor runway condition
CN106422210B (zh) * 2016-10-13 2018-07-20 北京昊翔信达科技有限公司 一种基于图像处理的人体运动状态检测方法及系统
US10582095B2 (en) * 2016-10-14 2020-03-03 MP High Tech Solutions Pty Ltd Imaging apparatuses and enclosures
TWI646997B (zh) 2016-11-01 2019-01-11 美商愛康運動與健康公司 用於控制台定位的距離感測器
US10625114B2 (en) 2016-11-01 2020-04-21 Icon Health & Fitness, Inc. Elliptical and stationary bicycle apparatus including row functionality
US10661114B2 (en) 2016-11-01 2020-05-26 Icon Health & Fitness, Inc. Body weight lift mechanism on treadmill
CN106492422A (zh) * 2016-11-25 2017-03-15 成都卡美奇鞋业有限公司 一种基于跳频技术的功能跑步鞋
TWI618410B (zh) * 2016-11-28 2018-03-11 Bion Inc 可影像訊息直播運動系統
TWI680782B (zh) 2016-12-05 2020-01-01 美商愛康運動與健康公司 於操作期間抵銷跑步機的平台之重量
CN106775721A (zh) * 2016-12-16 2017-05-31 北京奇虎科技有限公司 界面互动组件控制方法、装置及可穿戴设备
US10702736B2 (en) 2017-01-14 2020-07-07 Icon Health & Fitness, Inc. Exercise cycle
US20180272220A1 (en) * 2017-03-24 2018-09-27 Robert Glorioso System and Method of Remotely Coaching a Student's Golf Swing
US20180280760A1 (en) * 2017-04-03 2018-10-04 Under Armour, Inc. Apparatus and method for determining athletic readiness
US10845955B2 (en) 2017-05-15 2020-11-24 Apple Inc. Displaying a scrollable list of affordances associated with physical activities
US11765323B2 (en) 2017-05-26 2023-09-19 Calumino Pty Ltd. Apparatus and method of location determination in a thermal imaging system
CN110692068A (zh) * 2017-05-31 2020-01-14 本田技研工业株式会社 技能信息处理系统、方法和装置
US10814167B2 (en) * 2017-06-02 2020-10-27 Apple Inc. Wearable computer with fitness machine connectivity for improved activity monitoring
US10357066B2 (en) 2017-08-07 2019-07-23 Under Armour, Inc. System and method for apparel identification
TWI782424B (zh) 2017-08-16 2022-11-01 美商愛康有限公司 用於抗馬達中之軸向衝擊載荷的系統
CN107617189B (zh) * 2017-08-21 2019-10-01 安徽工程大学 一种基于rfid的跳高垫及其使用方法
KR102470919B1 (ko) 2017-09-11 2022-11-25 나이키 이노베이트 씨.브이. 표적 탐색 및 지오캐싱 이용을 위한 장치, 시스템, 및 방법
CN111295686A (zh) 2017-09-12 2020-06-16 耐克创新有限合伙公司 多因素认证与认证后处理系统
WO2019055473A1 (en) * 2017-09-12 2019-03-21 Nike Innovate C.V. MULTI-FACTOR AUTHENTICATION AND POST-AUTHENTICATION PROCESSING SYSTEM
US10420387B2 (en) * 2017-09-29 2019-09-24 Sharon Ann Zambriski Exercise performance monitoring apparatus
US10482726B2 (en) * 2017-11-13 2019-11-19 Zebra Technologies Corporation Methods, systems, and apparatus for bi-directional communication with wearable location devices
US10729965B2 (en) 2017-12-22 2020-08-04 Icon Health & Fitness, Inc. Audible belt guide in a treadmill
US10545578B2 (en) 2017-12-22 2020-01-28 International Business Machines Corporation Recommending activity sensor usage by image processing
CN108043009A (zh) * 2017-12-25 2018-05-18 珠海乐泰科技有限公司 一种包括有智能运动护腕的篮球运动组件及其使用方法
CN108065469A (zh) * 2017-12-25 2018-05-25 珠海乐泰科技有限公司 一种智能篮球运动外衣及其使用方法
JP7324188B2 (ja) 2018-03-30 2023-08-09 ソニーセミコンダクタソリューションズ株式会社 無線通信装置、情報処理装置およびそれらにおける処理方法
US11317833B2 (en) 2018-05-07 2022-05-03 Apple Inc. Displaying user interfaces associated with physical activities
US11590402B2 (en) * 2018-05-31 2023-02-28 The Quick Board, Llc Automated physical training system
EP3576095A1 (en) 2018-06-01 2019-12-04 FRAUNHOFER-GESELLSCHAFT zur Förderung der angewandten Forschung e.V. System for determining a game scenario in a sports game
US20190388791A1 (en) * 2018-06-22 2019-12-26 Jennifer Lapoint System and method for providing sports performance data over a wireless network
US11331538B2 (en) * 2018-08-07 2022-05-17 Interactive Strength, Inc. Interactive exercise machine data architecture
CN109107136A (zh) * 2018-09-07 2019-01-01 广州仕伯特体育文化有限公司 一种运动参数监测方法及装置
CN109453498B (zh) * 2018-10-23 2022-01-21 快快利华(北京)网络科技有限公司 一种训练辅助系统和方法
US10776669B1 (en) * 2019-03-31 2020-09-15 Cortica Ltd. Signature generation and object detection that refer to rare scenes
DK201970535A1 (en) 2019-05-06 2020-12-21 Apple Inc Media browsing user interface with intelligently selected representative media items
DK201970532A1 (en) 2019-05-06 2021-05-03 Apple Inc Activity trends and workouts
US20200367799A1 (en) 2019-05-22 2020-11-26 Bi Incorporated Systems and Methods for Multi-Tiered Impairment Testing
JP7297940B2 (ja) 2019-06-01 2023-06-26 アップル インコーポレイテッド マルチモードの活動追跡ユーザインタフェース
JP7115423B2 (ja) * 2019-06-07 2022-08-09 トヨタ自動車株式会社 歩行訓練システム、表示方法、および表示プログラム
WO2021021740A1 (en) * 2019-07-26 2021-02-04 Beatty Sloan Systems, methods, and devices for providing an interactive intelligent sports system
USD916835S1 (en) * 2019-09-05 2021-04-20 Nike, Inc. Display screen or portion thereof with animated graphical user interface
USD916836S1 (en) * 2019-09-05 2021-04-20 Nike, Inc. Display screen or portion thereof with graphical user interface
CN110559640B (zh) * 2019-10-08 2024-01-09 陕西科技大学 一种辅助判断篮球比赛三分球的装置与方法
TWI750890B (zh) 2019-11-12 2021-12-21 美商愛康運動與健康公司 運動儲存系統
US11207582B2 (en) 2019-11-15 2021-12-28 Toca Football, Inc. System and method for a user adaptive training and gaming platform
US11517790B2 (en) * 2019-11-26 2022-12-06 MyFitnessPal, Inc. Methods and apparatus for training plan delivery and logging
JP7385759B2 (ja) * 2020-01-21 2023-11-22 トラックマン・アクティーゼルスカブ スポーツボールの追跡のためのシステムおよび方法
US11298578B2 (en) 2020-01-31 2022-04-12 Interactive Strength, Inc. Positionable arm with quick release for an interactive exercise machine
DK202070612A1 (en) 2020-02-14 2021-10-26 Apple Inc User interfaces for workout content
AU2020239743B2 (en) * 2020-02-14 2022-01-27 Apple Inc. User interfaces for workout content
WO2021243074A1 (en) * 2020-05-27 2021-12-02 Helios Sports, Inc. Intelligent sports video and data generation from ai recognition events
JP6945887B1 (ja) * 2020-05-29 2021-10-06 タグル株式会社 スポーツ選手の身体情報管理支援システム
JP1678172S (ko) * 2020-06-24 2021-02-01
JP1678173S (ko) * 2020-06-24 2021-02-01
USD938981S1 (en) * 2020-07-02 2021-12-21 Nike, Inc. Display screen with animated graphical user interface
USD939556S1 (en) * 2020-07-02 2021-12-28 Nike, Inc. Display screen with animated graphical user interface
USD938980S1 (en) * 2020-07-02 2021-12-21 Nike, Inc. Display screen with animated graphical user interface
US11514590B2 (en) 2020-08-13 2022-11-29 Toca Football, Inc. System and method for object tracking
US11710316B2 (en) 2020-08-13 2023-07-25 Toca Football, Inc. System and method for object tracking and metric generation
AU2021236480A1 (en) * 2020-10-20 2022-05-05 Kistler Holding Ag Method and device for measuring forces
WO2022165323A1 (en) * 2021-02-01 2022-08-04 Ifit Inc. Exercise storage system
JP7071018B1 (ja) * 2021-02-16 2022-05-18 Ｎｅｃプラットフォームズ株式会社 評価装置、方法及びプログラム
CN112954765B (zh) * 2021-02-24 2022-12-09 四川速宝网络科技有限公司 一种基于网络状态监控的动态算子选路方法
WO2022221177A1 (en) * 2021-04-11 2022-10-20 Khurana Vikas Diagnosis and treatment of congestive colon failure (ccf)
US11938376B2 (en) 2021-05-15 2024-03-26 Apple Inc. User interfaces for group workouts
USD1045916S1 (en) * 2021-10-15 2024-10-08 Hyundai Motor Company Panel screen with animated GUI for wearable walking-assistance robot controller
US12067780B2 (en) * 2022-02-28 2024-08-20 Samsung Electronics Co., Ltd. Systems and methods for video event segmentation derived from simultaneously recorded sensor data
US20230310933A1 (en) * 2022-03-31 2023-10-05 Sonova Ag Hearing device with health function
US11977729B2 (en) 2022-06-05 2024-05-07 Apple Inc. Physical activity information user interfaces
US20230390626A1 (en) 2022-06-05 2023-12-07 Apple Inc. User interfaces for physical activity information
CN116246780A (zh) * 2022-12-14 2023-06-09 北京诺亦腾科技有限公司 体适能评估方法、装置、电子设备及存储介质

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6656042B2 (en) * 2000-03-24 2003-12-02 Espn-Starwave Partners Interactive fantasy lottery
US20070073178A1 (en) * 2005-09-29 2007-03-29 Berkeley Heartlab, Inc. Monitoring device for measuring calorie expenditure
US20090150178A1 (en) * 2007-12-05 2009-06-11 Rick Douglas Sutton Method And System For Tracking Physical Metrics In A Social Commerce System
US20090171614A1 (en) * 2007-12-27 2009-07-02 Move2Health Holding Bv System and Method for Processing Raw Activity Energy Expenditure Data
US20100113160A1 (en) * 2008-11-06 2010-05-06 At&T Intellectual Property I, L.P. Massively multiplayer online gaming through a mobile device
US20100231580A1 (en) * 2005-03-18 2010-09-16 Seiko Epson Corporation Electrophoretic display device and driving method thereof
US20100286601A1 (en) * 2007-12-26 2010-11-11 Ofer Yodfat Maintaining glycemic control during exercise
US7921716B2 (en) * 2008-03-20 2011-04-12 University Of Utah Research Foundation Method and system for measuring energy expenditure and foot incline in individuals
US20110136627A1 (en) * 2009-12-03 2011-06-09 Williams Michael C Exercise derived currency for exchange or grading
US20120041767A1 (en) * 2010-08-11 2012-02-16 Nike Inc. Athletic Activity User Experience and Environment
US8253586B1 (en) * 2009-04-24 2012-08-28 Mayfonk Art, Inc. Athletic-wear having integral measuring sensors

Family Cites Families (497)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB251054A (en) 1925-02-25 1926-04-29 Shoe Inv S Ltd Improvements in the manufacture of boots and shoes
US3270564A (en) 1964-05-18 1966-09-06 James W Evans Athletic swing measurement system
US4664378A (en) 1975-04-23 1987-05-12 Auken John A Van Electrically conductive tennis ball
US4372558A (en) * 1978-11-21 1983-02-08 Matsushita Electric Industrial Co., Ltd. Remote game apparatus
JPS5664301U (ko) 1979-10-22 1981-05-29
JPS5664301A (en) 1979-10-29 1981-06-01 Toyobo Co Ltd Dichromatic dye containing polarizing film
DE3009211C2 (de) 1980-03-11 1983-08-18 Volker Prof. Dr. 6905 Schriesheim Hepp Mobiler Ereignis-Modul
US4373651A (en) 1980-09-02 1983-02-15 Fanslow Charles E Method and apparatus assembling and nailing boards together
US4496148A (en) 1981-12-09 1985-01-29 Barry R. Morstain Sporting event analysis device
DE3405081A1 (de) 1984-02-13 1985-08-14 Puma-Sportschuhfabriken Rudolf Dassler Kg, 8522 Herzogenaurach Sportschuh fuer laufdisziplinen und verfahren zur informationsabgabe und/oder zum informationsaustausch ueber bewegungsablaeufe bei laufdisziplinen
US4577417A (en) 1984-04-27 1986-03-25 Energaire Corporation Sole-and-heel structure having premolded bulges
US4578969A (en) 1984-11-26 1986-04-01 Supra Products, Inc. Tumbler lock having peripheral key
US4647918A (en) 1985-01-16 1987-03-03 Goforth William P Multi-event notification system for monitoring critical pressure points on persons with diminished sensation of the feet
JPS6255580A (ja) 1985-09-04 1987-03-11 Mitsubishi Electric Corp 受信レベル変動補償ステツプトラツク追尾方式
US4814661A (en) 1986-05-23 1989-03-21 Washington State University Research Foundation, Inc. Systems for measurement and analysis of forces exerted during human locomotion
GB8619800D0 (en) 1986-08-14 1986-09-24 Microelectronics Applic Resear Tactile sensor device
US4745930A (en) 1986-10-16 1988-05-24 Chattanooga Corporation Force sensing insole for electro-goniometer
CH668915A5 (fr) 1986-10-22 1989-02-15 Ebauchesfabrik Eta Ag Transpondeur passif.
US5010774A (en) 1987-11-05 1991-04-30 The Yokohama Rubber Co., Ltd. Distribution type tactile sensor
US5047952A (en) 1988-10-14 1991-09-10 The Board Of Trustee Of The Leland Stanford Junior University Communication system for deaf, deaf-blind, or non-vocal individuals using instrumented glove
FR2648573B1 (fr) 1989-06-14 1991-08-30 Thomson Csf Dispositif de visualisation pour viseur de casque ergonomique a grand champ d'observation
JPH0355077A (ja) 1989-07-21 1991-03-08 Kubota Corp 足底圧検出装置
US4980871A (en) 1989-08-22 1990-12-25 Visionary Products, Inc. Ultrasonic tracking system
US5033291A (en) 1989-12-11 1991-07-23 Tekscan, Inc. Flexible tactile sensor for measuring foot pressure distributions and for gaskets
US5150536A (en) 1990-01-09 1992-09-29 Molly Strong Winter weather footwear article
US5149084A (en) 1990-02-20 1992-09-22 Proform Fitness Products, Inc. Exercise machine with motivational display
US5500635A (en) 1990-02-20 1996-03-19 Mott; Jonathan C. Products incorporating piezoelectric material
DE4011455A1 (de) 1990-04-09 1991-10-10 Henkel Kgaa Haushaltsalleskleber auf polyurethanbasis
GB2243739A (en) 1990-04-27 1991-11-06 Arrowaxe Ltd Frequency modulation distance measurement of active target
US5154960A (en) 1990-06-21 1992-10-13 Eileen Mucci Drapeable soft odor absorbing sheet material
US5249967A (en) 1991-07-12 1993-10-05 George P. O'Leary Sports technique video training device
US5444462A (en) 1991-12-16 1995-08-22 Wambach; Mark L. Computer mouse glove with remote communication
JPH05161724A (ja) 1991-12-16 1993-06-29 Hidekazu Takahashi 運動情報を収集する靴の中敷
US5903454A (en) 1991-12-23 1999-05-11 Hoffberg; Linda Irene Human-factored interface corporating adaptive pattern recognition based controller apparatus
US6081750A (en) 1991-12-23 2000-06-27 Hoffberg; Steven Mark Ergonomic man-machine interface incorporating adaptive pattern recognition based control system
FR2685173B1 (fr) 1991-12-24 1995-04-14 Salomon Sa Semelle de chaussure de sport multicouche.
US5363297A (en) 1992-06-05 1994-11-08 Larson Noble G Automated camera-based tracking system for sports contests
US5346210A (en) 1992-08-28 1994-09-13 Teem Systems, Inc. Object locator system
US5982352A (en) 1992-09-18 1999-11-09 Pryor; Timothy R. Method for providing human input to a computer
US5471405A (en) 1992-11-13 1995-11-28 Marsh; Stephen A. Apparatus for measurement of forces and pressures applied to a garment
JPH06142087A (ja) * 1992-11-13 1994-05-24 Omron Corp 運動モニタ装置
US5323650A (en) 1993-01-14 1994-06-28 Fullen Systems, Inc. System for continuously measuring forces applied to the foot
US5303485A (en) 1993-02-05 1994-04-19 L.A. Gear, Inc. Footwear with flashing lights
JP3036281B2 (ja) 1993-02-05 2000-04-24 栗田工業株式会社 し尿系汚水の処理方法
US5470255A (en) 1993-03-23 1995-11-28 The Whitaker Corporation Extended height connector for a battery
US5513854A (en) 1993-04-19 1996-05-07 Daver; Gil J. G. System used for real time acquistion of data pertaining to persons in motion
US5373651A (en) 1993-05-03 1994-12-20 Wood; Thomas L. Smart shoes
EP0662600A4 (en) 1993-06-10 1997-02-12 Oh Yoh Keisoku Kenkyusho Kk DEVICE FOR MEASURING THE POSITION OF A MOVABLE OBJECT.
US5374821A (en) 1993-06-30 1994-12-20 Martin Marietta Energy Systems, Inc. Elastomeric optical fiber sensors and method for detecting and measuring events occurring in elastic materials
JP3115745B2 (ja) 1993-07-12 2000-12-11 富士写真フイルム株式会社 感光材料
US5419562A (en) * 1993-08-10 1995-05-30 Cromarty; John I. Method and apparatus for analyzing movements of an individual
JPH0756990A (ja) 1993-08-20 1995-03-03 Csk Corp スポーツ競技監視判定システム
US5303131A (en) 1993-08-23 1994-04-12 Andy Wu Shoe warning light device
JPH09506978A (ja) 1993-08-24 1997-07-08 ジョン イースターブルック，ノーマン 生徒の教育のための装置
US5422521A (en) 1993-11-18 1995-06-06 Liebel-Flarsheim Co. Foot operated control system for a multi-function device
US5644858A (en) 1993-12-02 1997-07-08 L.A. Gear, Inc. Inertially responsive footwear lights
US5408873A (en) 1994-07-25 1995-04-25 Cleveland Medical Devices, Inc. Foot force sensor
JPH0876926A (ja) * 1994-09-02 1996-03-22 Brother Ind Ltd 画像表示装置
JPH08126632A (ja) * 1994-09-07 1996-05-21 Omron Corp 運動量測定装置
US5812142A (en) 1994-09-30 1998-09-22 Apple Computer, Inc. Motion movement cueing through synchronized display port and image
US6516284B2 (en) 1994-11-21 2003-02-04 Phatrat Technology, Inc. Speedometer for a moving sportsman
US8280682B2 (en) 2000-12-15 2012-10-02 Tvipr, Llc Device for monitoring movement of shipped goods
US7739076B1 (en) * 1999-06-30 2010-06-15 Nike, Inc. Event and sport performance methods and systems
US6266623B1 (en) 1994-11-21 2001-07-24 Phatrat Technology, Inc. Sport monitoring apparatus for determining loft time, speed, power absorbed and other factors such as height
US6885971B2 (en) 1994-11-21 2005-04-26 Phatrat Technology, Inc. Methods and systems for assessing athletic performance
US7386401B2 (en) 1994-11-21 2008-06-10 Phatrat Technology, Llc Helmet that reports impact information, and associated methods
US5636146A (en) 1994-11-21 1997-06-03 Phatrat Technology, Inc. Apparatus and methods for determining loft time and speed
US6539336B1 (en) 1996-12-12 2003-03-25 Phatrat Technologies, Inc. Sport monitoring system for determining airtime, speed, power absorbed and other factors such as drop distance
US7162392B2 (en) 1994-11-21 2007-01-09 Phatrat Technology, Inc. Sport performance systems for measuring athletic performance, and associated methods
US5697791A (en) 1994-11-29 1997-12-16 Nashner; Lewis M. Apparatus and method for assessment and biofeedback training of body coordination skills critical and ball-strike power and accuracy during athletic activitites
US5638300A (en) 1994-12-05 1997-06-10 Johnson; Lee E. Golf swing analysis system
US5720200A (en) 1995-01-06 1998-02-24 Anderson; Kenneth J. Performance measuring footwear
US5930741A (en) 1995-02-28 1999-07-27 Virtual Technologies, Inc. Accurate, rapid, reliable position sensing using multiple sensing technologies
US5913727A (en) 1995-06-02 1999-06-22 Ahdoot; Ned Interactive movement and contact simulation game
US5636378A (en) 1995-06-08 1997-06-10 Griffith; Quentin L. Impact sensing vest
US5702323A (en) 1995-07-26 1997-12-30 Poulton; Craig K. Electronic exercise enhancer
JP2970494B2 (ja) 1995-08-31 1999-11-02 ヤマハ株式会社 楽音制御方法および楽音制御装置
US6042492A (en) 1995-09-21 2000-03-28 Baum; Charles S. Sports analysis and testing system
US5825327A (en) 1996-03-08 1998-10-20 Snaptrack, Inc. GPS receivers and garments containing GPS receivers and methods for using these GPS receivers
US5785666A (en) 1995-10-31 1998-07-28 Ergonomic Technologies Corporation Portable electronic data collection apparatus for monitoring musculoskeletal stresses
US6308565B1 (en) 1995-11-06 2001-10-30 Impulse Technology Ltd. System and method for tracking and assessing movement skills in multidimensional space
US6430997B1 (en) 1995-11-06 2002-08-13 Trazer Technologies, Inc. System and method for tracking and assessing movement skills in multidimensional space
US5655316A (en) 1995-12-11 1997-08-12 Raymond Hwang Shoe with weighing and step counting means
US5724265A (en) 1995-12-12 1998-03-03 Hutchings; Lawrence J. System and method for measuring movement of objects
US5813142A (en) 1996-02-09 1998-09-29 Demon; Ronald S. Shoe sole with an adjustable support pattern
US6093923A (en) 1996-09-11 2000-07-25 Golf Age Technologies, Inc. Golf driving range distancing apparatus and methods
EP0816986B1 (en) * 1996-07-03 2006-09-06 Hitachi, Ltd. System for recognizing motions
US6174294B1 (en) 1996-08-02 2001-01-16 Orbital Technologies, Inc. Limb load monitor
WO1998007129A1 (fr) 1996-08-14 1998-02-19 Latypov Nurakhmed Nurislamovic Procede de suivi et de representation de la position et de l'orientation d'un sujet dans l'espace, procede de presentation d'un espace virtuel a ce sujet, et systemes de mise en oeuvre de ces procedes
US5915820A (en) 1996-08-20 1999-06-29 Adidas A G Shoe having an internal chassis
JP2821738B2 (ja) 1996-09-20 1998-11-05 防衛庁技術研究本部長 距離測定方法及び距離測定装置
US6002982A (en) 1996-11-01 1999-12-14 Fry; William R. Sports computer with GPS receiver and performance tracking capabilities
US6198394B1 (en) 1996-12-05 2001-03-06 Stephen C. Jacobsen System for remote monitoring of personnel
US6360597B1 (en) 1997-01-08 2002-03-26 The Trustees Of Boston University In-shoe remote telemetry gait analysis system
US6204813B1 (en) 1998-02-20 2001-03-20 Trakus, Inc. Local area multiple object tracking system
US6050962A (en) 1997-04-21 2000-04-18 Virtual Technologies, Inc. Goniometer-based body-tracking device and method
US5963891A (en) 1997-04-24 1999-10-05 Modern Cartoons, Ltd. System for tracking body movements in a virtual reality system
JP2001523140A (ja) 1997-05-08 2001-11-20 リアル ヴィジョン コーポレイション 対話的運動パッドシステム
US5844861A (en) 1997-07-18 1998-12-01 Maurer; Gregory C. Athletic jump duration timing apparatus
US6330757B1 (en) 1998-08-18 2001-12-18 Britek Footwear Development, Llc Footwear with energy storing sole construction
US5929332A (en) 1997-08-15 1999-07-27 Brown; Norma Sensor shoe for monitoring the condition of a foot
US6122340A (en) 1998-10-01 2000-09-19 Personal Electronic Devices, Inc. Detachable foot mount for electronic device
US6018705A (en) 1997-10-02 2000-01-25 Personal Electronic Devices, Inc. Measuring foot contact time and foot loft time of a person in locomotion
US6298314B1 (en) 1997-10-02 2001-10-02 Personal Electronic Devices, Inc. Detecting the starting and stopping of movement of a person on foot
US6876947B1 (en) 1997-10-02 2005-04-05 Fitsense Technology, Inc. Monitoring activity of a user in locomotion on foot
US6611789B1 (en) 1997-10-02 2003-08-26 Personal Electric Devices, Inc. Monitoring activity of a user in locomotion on foot
US6560903B1 (en) 2000-03-07 2003-05-13 Personal Electronic Devices, Inc. Ambulatory foot pod
US6336365B1 (en) 1999-08-24 2002-01-08 Personal Electronic Devices, Inc. Low-cost accelerometer
DE19749984C2 (de) 1997-11-12 2000-05-25 Fraunhofer Ges Forschung Verfahren und Vorrichtungen zum photothermischen Untersuchen eines Prüfkörpers
US6336891B1 (en) 1997-12-08 2002-01-08 Real Vision Corporation Interactive exercise pad system
US6270433B1 (en) 1997-12-15 2001-08-07 Toy Builders Player position detection system
JPH11178967A (ja) * 1997-12-17 1999-07-06 Kapurishioso:Kk 携帯型運動補助装置
WO1999034230A2 (en) 1997-12-24 1999-07-08 Television New Zealand Limited Improvements relating to position determinations
US6151563A (en) 1998-01-14 2000-11-21 Silicon Pie, Inc. Speed, spin rate, and curve measuring device using magnetic field sensors
US6148271A (en) 1998-01-14 2000-11-14 Silicon Pie, Inc. Speed, spin rate, and curve measuring device
US6073086A (en) 1998-01-14 2000-06-06 Silicon Pie, Inc. Time of motion, speed, and trajectory height measuring device
US20070177804A1 (en) * 2006-01-30 2007-08-02 Apple Computer, Inc. Multi-touch gesture dictionary
US9292111B2 (en) * 1998-01-26 2016-03-22 Apple Inc. Gesturing with a multipoint sensing device
GB9801655D0 (en) 1998-01-28 1998-03-25 Trikon Equip Ltd Method and apparatus for treating a substrate
CN1256752A (zh) 1998-02-25 2000-06-14 皇家菲利浦电子有限公司 用于测量锻炼活动中的效能的方法和系统以及用于该系统中的运动鞋
US5889464A (en) 1998-03-13 1999-03-30 Huang; Tien-Tsai Tire pressure indicator including pressure gauges that have a self-generating power capability
US6013007A (en) 1998-03-26 2000-01-11 Liquid Spark, Llc Athlete's GPS-based performance monitor
GB9807540D0 (en) 1998-04-09 1998-06-10 Orad Hi Tec Systems Ltd Tracking system for sports
US7556589B1 (en) 2000-10-06 2009-07-07 Stearns Kenneth W Total body exercise methods and apparatus
US6519876B1 (en) 1998-05-06 2003-02-18 Kenton Geer Design Associates, Inc. Footwear structure and method of forming the same
JPH11339009A (ja) 1998-05-26 1999-12-10 Sony Corp 解析データ生成装置
US6141041A (en) 1998-06-22 2000-10-31 Lucent Technologies Inc. Method and apparatus for determination and visualization of player field coverage in a sporting event
JP2000005368A (ja) * 1998-06-25 2000-01-11 Kazuhiko Kiguchi ゴルフ競技に使用するカード
JP2000099557A (ja) 1998-09-25 2000-04-07 Hitachi Ltd 半導体集積回路装置、及びその製造方法、及び記憶媒体
US6426490B1 (en) 1998-11-16 2002-07-30 Leica Microsystems Heidelberg Gmbh Method for operating a preferably confocal laser scanning microscope
US6707487B1 (en) 1998-11-20 2004-03-16 In The Play, Inc. Method for representing real-time motion
US6567116B1 (en) 1998-11-20 2003-05-20 James A. Aman Multiple object tracking system
AU1634300A (en) 1998-11-27 2000-06-19 Carnap Analytic Corporation System for use in footwear for measuring, analyzing, and reporting the performance of an athlete
FR2786899B1 (fr) 1998-12-03 2006-09-29 Jean Bonnard Indicateur de mouvements pour logiciels
US6415188B1 (en) 1998-12-23 2002-07-02 Dennis Sunga Fernandez Method and apparatus for multi-sensor processing
US6620057B1 (en) 1999-04-15 2003-09-16 Flite Traxx, Inc. System for locating golf balls
ATE315787T1 (de) 1999-05-14 2006-02-15 Univ Mcgill Methoden zur identifizierung von modulatoren wechselwirkender proteine
FI108579B (fi) 1999-05-28 2002-02-15 Polar Electro Oy Menetelmä ja mittausjärjestely juoksijan, kävelijän tai muun liikkuvan elävän kohteen nopeuden määrittämiseen
AU6065600A (en) 1999-06-30 2001-01-31 Phatrat Technology, Inc. Event and sport performance methods and systems
KR100369127B1 (ko) 1999-07-08 2003-01-24 현대자동차주식회사 차량 주행기록 검색 방법
US7166064B2 (en) 1999-07-08 2007-01-23 Icon Ip, Inc. Systems and methods for enabling two-way communication between one or more exercise devices and computer devices and for enabling users of the one or more exercise devices to competitively exercise
US6122846A (en) 1999-08-30 2000-09-26 Frank B. Gray Force monitoring shoe
US6195921B1 (en) 1999-09-28 2001-03-06 Vinncente Hoa Gia Truong Virtual intelligence shoe with a podiatric analysis system
US6671390B1 (en) 1999-10-18 2003-12-30 Sport-X Inc. Automated collection, processing and use of sports movement information via information extraction from electromagnetic energy based upon multi-characteristic spatial phase processing
US6287200B1 (en) * 1999-12-15 2001-09-11 Nokia Corporation Relative positioning and virtual objects for mobile devices
GB0000105D0 (en) 2000-01-05 2000-02-23 World Golf Systems Limited Golf game
US6778973B2 (en) * 2000-01-12 2004-08-17 Duane Harlan Method for selection of events based on proximity
JP3496874B2 (ja) 2000-02-23 2004-02-16 コナミ株式会社 ゲーム装置、ゲーム装置の制御方法、情報記憶媒体、ゲーム配信装置及びゲーム配信方法
AU2001237430A1 (en) 2000-03-06 2001-09-17 Cairos Technologies Ag Device for detecting the position and/or movement of objects and/or living things
US7189190B2 (en) 2000-03-10 2007-03-13 Nautilus, Inc. Group program for resistance exercise training
US6430843B1 (en) 2000-04-18 2002-08-13 Nike, Inc. Dynamically-controlled cushioning system for an article of footwear
US20020035184A1 (en) 2000-05-26 2002-03-21 Plaver Deborah E. Method of reducing degradation in polymers
US6578291B2 (en) 2000-06-06 2003-06-17 John Hirsch Shoe wear indicator
US20060122474A1 (en) 2000-06-16 2006-06-08 Bodymedia, Inc. Apparatus for monitoring health, wellness and fitness
DE10030845B4 (de) 2000-06-23 2008-11-20 Abb Ag Feldbus-Anschlußsystem für Aktoren oder Sensoren
US20030009308A1 (en) 2000-06-24 2003-01-09 Chris Kirtley Instrumented insole
US6785805B1 (en) 2000-08-08 2004-08-31 Vi Technology, Inc. Network-based configuration method for systems integration in test, measurement, and automation environments
US6836744B1 (en) 2000-08-18 2004-12-28 Fareid A. Asphahani Portable system for analyzing human gait
US7688306B2 (en) 2000-10-02 2010-03-30 Apple Inc. Methods and apparatuses for operating a portable device based on an accelerometer
US20030207718A1 (en) 2000-10-20 2003-11-06 Perlmutter Michael S. Methods and systems for analyzing the motion of sporting equipment
US7287340B2 (en) 2000-10-23 2007-10-30 Sydney Design Technologies, Inc. Energy translating mechanism incorporated into footwear for enhancing forward momentum and for reducing energy loss
IL139387A0 (en) * 2000-11-01 2001-11-25 Dintex Ltd Feedback system and method for monitoring and measuring physical exercise related information
US8900811B2 (en) 2000-11-16 2014-12-02 Caliper Life Sciences, Inc. Method and apparatus for generating thermal melting curves in a microfluidic device
US6640144B1 (en) 2000-11-20 2003-10-28 Universal Electronics Inc. System and method for creating a controlling device
JP4353629B2 (ja) 2000-11-29 2009-10-28 株式会社エスアンドケイ ネット案内所システムを形成するサーバ
US7171331B2 (en) 2001-12-17 2007-01-30 Phatrat Technology, Llc Shoes employing monitoring devices, and associated methods
JP4456261B2 (ja) * 2000-12-15 2010-04-28 株式会社モルテン 競技用表示装置
US6497885B2 (en) 2000-12-22 2002-12-24 The Daily Wellness Company Method and composition for improving fertility health in female and male animals and humans
US6784826B2 (en) 2001-01-26 2004-08-31 Tera Research Incorporated Body motion tracking system
US7030861B1 (en) 2001-02-10 2006-04-18 Wayne Carl Westerman System and method for packing multi-touch gestures onto a hand
US6892216B2 (en) 2001-02-13 2005-05-10 Snap-On Incorporated Common platform for use in automotive services
AU2002255568B8 (en) 2001-02-20 2014-01-09 Adidas Ag Modular personal network systems and methods
US7262797B2 (en) * 2001-02-22 2007-08-28 Ge Inspection Technologies Lp Method and system for storing calibration data within image files
US6834436B2 (en) 2001-02-23 2004-12-28 Microstrain, Inc. Posture and body movement measuring system
JP2002268806A (ja) 2001-03-09 2002-09-20 Bellsystem 24 Inc スポーツ試合実時間経過内容記録システム
US20020134153A1 (en) 2001-03-26 2002-09-26 Grenlund Aaron E. Instrumented athletic device for coaching and like purposes
US6718200B2 (en) 2001-04-10 2004-04-06 Koninklijke Philips Electronics N.V. Wearable body-fat sensor
US6582330B1 (en) 2001-05-04 2003-06-24 Rehco, Llc Electronic football capable of measuring throwing statistics
EP1409089B1 (en) 2001-06-25 2008-07-30 Gregory P. Snyder Training shoe for soccer
JP3958944B2 (ja) 2001-07-17 2007-08-15 アルプス電気株式会社 多機能入力装置
GB2379571A (en) 2001-09-11 2003-03-12 Eitan Feldbau Determining the Position of Players on a Sports Field
US20030054327A1 (en) 2001-09-20 2003-03-20 Evensen Mark H. Repetitive motion feedback system and method of practicing a repetitive motion
US20050282633A1 (en) 2001-11-13 2005-12-22 Frederic Nicolas Movement-sensing apparatus for software
GB0128528D0 (en) 2001-11-29 2002-01-23 Koninkl Philips Electronics Nv Shoe based force sensor and equipment for use with the same
US6748462B2 (en) 2001-12-20 2004-06-08 Koninklijke Philips Electronics N.V. Activity-based remote control device
US7005970B2 (en) 2002-01-03 2006-02-28 Intel Corporation Officiating system
US6932698B2 (en) * 2002-01-31 2005-08-23 Peter Sprogis Treasure hunt game utilizing wireless communications devices and location positioning technology
US6842614B2 (en) 2002-02-04 2005-01-11 Agilent Technologies, Inc. Network analyzer for measuring the antenna return loss in a live cellular network
CA2626453C (en) 2002-02-13 2011-02-01 Herman Miller, Inc. Tilt chair having a flexible back, adjustable armrests and adjustable seat depth, and methods for the use thereof
CO5310584A1 (es) 2002-02-25 2003-08-29 Harold Hugo Gonzalez Sistemas de dispositivos electronicos de ayuda arbitral para el futbol
JP4178113B2 (ja) 2002-03-12 2008-11-12 メナーチェ エルエルシー 動作追跡装置とその方法
US8663909B2 (en) 2002-05-09 2014-03-04 Nanologix, Inc. Device for rapid detection and identification of single microorganisms without preliminary growth
US6710713B1 (en) 2002-05-17 2004-03-23 Tom Russo Method and apparatus for evaluating athletes in competition
JP2003337510A (ja) 2002-05-21 2003-11-28 Brother Ind Ltd 印刷システム、及び印刷システムの画像形成装置
JP2004024627A (ja) 2002-06-26 2004-01-29 Yamaha Corp 動作練習装置
US6865660B2 (en) 2002-06-28 2005-03-08 Micron Technology, Inc. Method and apparatus for generating deterministic, non-repeating, pseudo-random addresses
US7651442B2 (en) 2002-08-15 2010-01-26 Alan Carlson Universal system for monitoring and controlling exercise parameters
US7020508B2 (en) 2002-08-22 2006-03-28 Bodymedia, Inc. Apparatus for detecting human physiological and contextual information
DE10240530A1 (de) 2002-09-03 2004-03-11 Völkl Tennis GmbH Schuh bzw. Sportschuh
JP2004118339A (ja) 2002-09-24 2004-04-15 Sky Com:Kk 情報配信システム、情報配信装置、情報配信方法、歩数計およびその方法をコンピュータに実行させるプログラム
WO2004033421A2 (en) 2002-10-04 2004-04-22 Genencor International, Inc. Improved production of bacterial strains
DE10249866B4 (de) 2002-10-25 2012-02-16 Continental Automotive Gmbh Vorrichtung zur Positionsbestimmung wenigstens einer zweiten Sende- und Empfangseinrichtung bezüglich einer ersten Sende- und Empfangseinrichtung in einem GHz-Bereich arbeitenden passiven Zugangskontrollsystem
AU2003279324B8 (en) 2002-10-28 2009-06-04 Fraunhofer-Gesellschaft Zur Forderung Der Angewandten Forschung E.V. Method for continuously locating in real time at least one mobile object and transmitters and receivers for carrying out said method
US8206219B2 (en) 2002-10-30 2012-06-26 Nike, Inc. Interactive gaming apparel for interactive gaming
US7158689B2 (en) * 2002-11-25 2007-01-02 Eastman Kodak Company Correlating captured images and timed event data
EP1587588A2 (en) 2002-12-19 2005-10-26 Fortescue Corporation Method and apparatus for determining orientation and position of a moveable object
US7480512B2 (en) 2004-01-16 2009-01-20 Bones In Motion, Inc. Wireless device, program products and methods of using a wireless device to deliver services
US20040142766A1 (en) 2003-01-17 2004-07-22 Chris Savarese Apparatuses, methods and systems relating to findable golf balls
DE10304238A1 (de) 2003-01-30 2004-08-12 Heinrich Henke Kontrolleinrichtung
EP1460497B1 (en) 2003-02-12 2012-11-14 Omron Corporation Safety controller
US7225565B2 (en) 2003-03-10 2007-06-05 Adidas International Marketing B.V. Intelligent footwear systems
US7631382B2 (en) 2003-03-10 2009-12-15 Adidas International Marketing B.V. Intelligent footwear systems
WO2004109311A1 (en) 2003-06-06 2004-12-16 Eaton Power Quality Limited Methods and apparatus for battery monitoring, characterisation and reserve time estimation
US7572206B2 (en) 2003-06-18 2009-08-11 Scott & Wilkins Enterprises, Llc Exercise device having position verification feedback
WO2005002436A1 (en) 2003-07-01 2005-01-13 Queensland University Of Technology Motion monitoring and analysis system
US7046151B2 (en) 2003-07-14 2006-05-16 Michael J. Dundon Interactive body suit and interactive limb covers
US7000335B2 (en) 2003-07-16 2006-02-21 Nike, Inc. Footwear with a sole structure incorporating a lobed fluid-filled chamber
US7283647B2 (en) 2003-07-16 2007-10-16 Mcnitt Michael J Method and system for physical motion analysis and training of a golf club swing motion using image analysis techniques
US20060084850A1 (en) 2003-07-16 2006-04-20 Sports Potential Inc., A Delaware Corporation System, method and apparatus for evaluating military personnel
WO2005021102A2 (en) 2003-08-21 2005-03-10 Ultimate Balance, Inc. Adjustable training system for athletics and physical rehabilitation including student unit and remote unit communicable therewith
US7725152B2 (en) 2003-09-12 2010-05-25 Textronics, Inc. Extended optical range system for monitoring motion of a member
WO2005037103A1 (en) 2003-10-17 2005-04-28 M.B.T.L. Limited Measuring forces in athletics
JP2005156531A (ja) 2003-11-05 2005-06-16 Sony Corp 圧力センサおよび生体情報処理装置
IE20030856A1 (en) 2003-11-14 2005-06-15 Enfer Technology Ltd Sample homogeniser
US7075485B2 (en) 2003-11-24 2006-07-11 Hong Kong Applied Science And Technology Research Institute Co., Ltd. Low cost multi-beam, multi-band and multi-diversity antenna systems and methods for wireless communications
EP1694202B1 (en) 2003-12-04 2014-12-31 Hoana Medical, Inc. Intelligent medical vigilance system
US20060025229A1 (en) 2003-12-19 2006-02-02 Satayan Mahajan Motion tracking and analysis apparatus and method and system implementations thereof
US20050143199A1 (en) 2003-12-31 2005-06-30 Saroyan Zaven T. Method and apparatus for monitoring and determining the position of a football
US6882897B1 (en) 2004-01-05 2005-04-19 Dennis S. Fernandez Reconfigurable garment definition and production method
US7274910B2 (en) 2004-02-09 2007-09-25 Battelle Memorial Institute K1-53 Advanced capability RFID system
US7620466B2 (en) 2004-02-23 2009-11-17 Wellspring Software Sporting event statistics tracking and computation system and method
JP2005270640A (ja) 2004-02-26 2005-10-06 Semiconductor Energy Lab Co Ltd スポーツ用品、遊技用品、およびトレーニング用品
US7310895B2 (en) 2004-03-01 2007-12-25 Acushnet Company Shoe with sensors, controller and active-response elements and method for use thereof
US20060026120A1 (en) 2004-03-24 2006-02-02 Update Publications Lp Method and system for collecting, processing, and distributing residential property data
US7245898B2 (en) 2004-04-05 2007-07-17 Motorola, Inc. Programmable foot switch useable in a communications user interface in a vehicle
EP1737543B1 (en) 2004-04-09 2009-12-09 O'Brien, Conor Exercise monitor
US7057551B1 (en) 2004-04-27 2006-06-06 Garmin Ltd. Electronic exercise monitor and method using a location determining component and a pedometer
DE202004006680U1 (de) 2004-04-27 2005-03-17 Schroeder Heinrich Vorrichtungen zur Erfassung und Bewertung von Ereignissen und Ergebnissen bei Fußball-Spielen ausserhalb der Spielregeln und zur Sicherheit
GB2414006B (en) 2004-05-11 2007-09-05 Elan Vital Collapsible fluid containers
US7758523B2 (en) 2004-05-24 2010-07-20 Kineteks Corporation Remote sensing shoe insert apparatus, method and system
WO2005118503A1 (ja) 2004-06-01 2005-12-15 Sekisui Chemical Co., Ltd. 合わせガラス用中間膜及び合わせガラス
US7091863B2 (en) 2004-06-03 2006-08-15 Gary Ravet System and method for tracking the movement and location of an object in a predefined area
TR200401513A1 (tr) 2004-06-24 2006-01-23 Kron�K Elektron�K Elektron�K Ve B�Lg�Sayar S�Stemler� Sanay� T�Caret L�M�Ted ��Rket� Manyetik kartların okunmasını engelleme aparatı.
US7152343B2 (en) 2004-06-25 2006-12-26 Cronus, Inc. Footwear system
US7529898B2 (en) 2004-07-09 2009-05-05 International Business Machines Corporation Method for backing up and restoring data
WO2006008740A1 (en) 2004-07-21 2006-01-26 Aerotel Medical Systems (1998) Ltd. Wearable device, system and method for measuring physiological and/or environmental parameters
KR100786703B1 (ko) 2004-07-24 2007-12-21 삼성전자주식회사 가속도 센서를 이용한 운동량 측정장치 및 방법
JP4475460B2 (ja) 2004-07-28 2010-06-09 ソニー・エリクソン・モバイルコミュニケーションズ株式会社 位置情報検出システム及び位置情報検出方法
US8109858B2 (en) 2004-07-28 2012-02-07 William G Redmann Device and method for exercise prescription, detection of successful performance, and provision of reward therefore
US7771371B2 (en) 2004-08-11 2010-08-10 Andante Medical Devices Ltd Sports shoe with sensing and control
AU2005272714A1 (en) 2004-08-12 2006-02-23 Axilon Sports, Llc Multi-sport swing training apparatus
US20060040244A1 (en) 2004-08-19 2006-02-23 Meira Kain Personal fitness system
KR100697230B1 (ko) 2004-09-03 2007-03-21 안병준 운동량 데이터의 적용이 가능한 온라인 게임서비스 시스템및 방법
JP2008514577A (ja) 2004-09-27 2008-05-08 アストラゼネカ アクチボラグ Ｚｄ６４７４及びイマチニブを含んでなる組合せ
US20070232455A1 (en) 2004-10-22 2007-10-04 Mytrak Health System Inc. Computerized Physical Activity System to Provide Feedback
WO2006058013A2 (en) 2004-11-22 2006-06-01 Ellis, Frampton, E. Devices with internal flexibility sipes, including siped chambers for footwear
US8291618B2 (en) 2004-11-22 2012-10-23 Frampton E. Ellis Devices with internal flexibility sipes, including siped chambers for footwear
US7254516B2 (en) 2004-12-17 2007-08-07 Nike, Inc. Multi-sensor monitoring of athletic performance
GB2421416A (en) 2004-12-21 2006-06-28 Powered Triangle Ltd Footwear transmitter assembly
US7546772B2 (en) 2004-12-30 2009-06-16 Honeywell International Inc. Piezoresistive pressure sensor
US20060148594A1 (en) 2005-01-05 2006-07-06 Microsoft Corporation Smart communicating sports equipment
US7277021B2 (en) 2005-01-11 2007-10-02 Wisconsin Alumni Research Foundation Device and method for alerting a runner when a new pair of running shoes is needed
KR20070095407A (ko) 2005-01-26 2007-09-28 벤틀리 키네틱스 인코포레이티드 운동동작의 분석 및 지도를 위한 방법 및 시스템
US20060262120A1 (en) 2005-05-19 2006-11-23 Outland Research, Llc Ambulatory based human-computer interface
US20070178967A1 (en) 2005-01-28 2007-08-02 Outland Research, Llc Device, system and method for football catch computer gaming
US20060178235A1 (en) 2005-02-05 2006-08-10 Avaya Technology Corp. Apparatus and method for determining participant contact with a sports object
WO2006091715A1 (en) 2005-02-23 2006-08-31 Chiodo Christopher P Foot pressure detection device
US7487045B1 (en) 2005-03-10 2009-02-03 William Vieira Projected score area calculator and method of use
US7559877B2 (en) 2005-03-24 2009-07-14 Walkstyles, Inc. Interactive exercise device and system
DE102005014709C5 (de) 2005-03-31 2011-03-24 Adidas International Marketing B.V. Schuh
US8066514B2 (en) 2005-04-06 2011-11-29 Mark Anthony Clarke Automated processing of training data
US7497037B2 (en) 2005-04-15 2009-03-03 Boston Ideas, Llc Lighted footwear
JP2006308346A (ja) * 2005-04-27 2006-11-09 Xanavi Informatics Corp ナビゲーション装置
US8587439B2 (en) 2005-05-05 2013-11-19 Mayo Foundation For Medical Education And Research Systems, methods and devices for promoting thermogenesis
US7641592B2 (en) 2005-05-06 2010-01-05 Jonathan Roche Ventures, Llc Interval fitness training
US8028443B2 (en) * 2005-06-27 2011-10-04 Nike, Inc. Systems for activating and/or authenticating electronic devices for operation with footwear
JP2007015117A (ja) 2005-07-05 2007-01-25 Canon Chemicals Inc ローラの成型用金型、ローラの製造方法、及びこれらによって製造されたローラ
US20070006489A1 (en) 2005-07-11 2007-01-11 Nike, Inc. Control systems and foot-receiving device products containing such systems
US7383728B2 (en) 2005-07-13 2008-06-10 Ultimate Balance, Inc. Orientation and motion sensing in athletic training systems, physical rehabilitation and evaluation systems, and hand-held devices
JP4417300B2 (ja) 2005-07-13 2010-02-17 本田技研工業株式会社 歩行補助装置
US7383081B2 (en) 2005-07-15 2008-06-03 Suunto Oy Training device and method
US8740751B2 (en) 2005-07-25 2014-06-03 Nike, Inc. Interfaces and systems for displaying athletic performance information on electronic devices
US20070032748A1 (en) 2005-07-28 2007-02-08 608442 Bc Ltd. System for detecting and analyzing body motion
DE102005036355A1 (de) 2005-07-29 2007-02-01 Cairos Technologies Ag Verfahren zur Erfassung der Kraft- und Bewegungsverhältnisse an einem Spielgerät
US20070072156A1 (en) * 2005-08-05 2007-03-29 Abk Ventures Lifestyle coach behavior modification system
US20070033838A1 (en) 2005-08-15 2007-02-15 Luce Nicola J Intelligent sneaker insole
JP4622745B2 (ja) 2005-08-26 2011-02-02 ソニー株式会社 情報交換装置
US20070060408A1 (en) * 2005-08-31 2007-03-15 Motorola, Inc. Method and system for location based game services for wireless devices
US20070063849A1 (en) 2005-09-02 2007-03-22 Francesca Rosella Wearable haptic telecommunication device and system
WO2007033194A2 (en) 2005-09-13 2007-03-22 Aware Technologies, Inc. Method and system for proactive telemonitor with real-time activity and physiology classification and diary feature
US8474153B2 (en) 2005-09-15 2013-07-02 Alfred Cloutier Ltée Adaptable shoe cover
US7760082B2 (en) 2005-09-21 2010-07-20 Chon Meng Wong System and method for active monitoring and diagnostics of life signs using heartbeat waveform and body temperature remotely giving the user freedom to move within its vicinity without wires attachment, gel, or adhesives
US7357316B2 (en) 2005-09-29 2008-04-15 International Business Machines Corporation Retail environment
US20070078324A1 (en) 2005-09-30 2007-04-05 Textronics, Inc. Physiological Monitoring Wearable Having Three Electrodes
US7321330B2 (en) 2005-10-03 2008-01-22 Sri Sports Limited Ball measuring apparatus
FR2892315B1 (fr) 2005-10-21 2009-04-17 Xkpad Sa Dispositif interactif pour jeux video.
US7493706B2 (en) 2005-11-02 2009-02-24 Jong Soo Cho Shoe with cushion and ventilation device
JP2007125251A (ja) 2005-11-04 2007-05-24 Konami Sports & Life Co Ltd 動き情報処理システム、該システムに使用される端末装置、及び該端末装置の充電装置
JP2007134473A (ja) 2005-11-10 2007-05-31 Matsushita Electric Ind Co Ltd フレキシブル配線基板およびその製造方法
DE102005055842A1 (de) 2005-11-23 2007-05-24 Alpha-Fit Gmbh Drucksensor
WO2007060522A2 (en) * 2005-11-26 2007-05-31 Jreic Company Sports officiating simulation device
WO2007064735A2 (en) 2005-11-29 2007-06-07 Ll International Shoe Company, Inc. Data system for an article of footwear
KR100735419B1 (ko) 2005-12-02 2007-07-04 삼성전자주식회사 발동작을 이용한 휴대기기 조작 시스템 및 방법
US7498856B2 (en) 2005-12-05 2009-03-03 Realtek Semiconductor Corporation Fractional-N frequency synthesizer
US20070135225A1 (en) 2005-12-12 2007-06-14 Nieminen Heikki V Sport movement analyzer and training device
US20070135243A1 (en) 2005-12-12 2007-06-14 Larue Michael B Active sports tracker and method
US9015652B2 (en) 2005-12-21 2015-04-21 Sap Se Dynamically-generated operating system for sensor networks
US20070156335A1 (en) 2006-01-03 2007-07-05 Mcbride Sandra Lynn Computer-Aided Route Selection
US7498956B2 (en) 2006-01-04 2009-03-03 Iron Will Creations, Inc. Apparatus and method for inputting information
US20100201512A1 (en) 2006-01-09 2010-08-12 Harold Dan Stirling Apparatus, systems, and methods for evaluating body movements
US7273431B2 (en) 2006-01-17 2007-09-25 Devall Donald L Impact measuring game ball
WO2007082389A1 (en) 2006-01-20 2007-07-26 6Th Dimension Devices Inc. Method and system for assessing athletic performance
WO2007095566A2 (en) 2006-02-15 2007-08-23 Porter Gilbert D Method, apparatus, and system for tracking unique items
US7467060B2 (en) 2006-03-03 2008-12-16 Garmin Ltd. Method and apparatus for estimating a motion parameter
FI20065147A (fi) 2006-03-03 2006-03-03 Firstbeat Technologies Oy Järjestelmä ja menetelmä harjoittelun ohjaamiseksi
US8484564B1 (en) * 2006-03-07 2013-07-09 Google Inc. Method, system, and graphical user interface for personalized online sports team charts
US20070239562A1 (en) * 2006-03-22 2007-10-11 Lawson Jeffrey G Method for notifying a user of a live event
EP1999674A4 (en) * 2006-03-28 2010-10-06 Hewlett Packard Development Co SYSTEM AND METHOD FOR SOCIAL NAVIGATION IN A NETWORK TIME MEDIA
US7579946B2 (en) 2006-04-20 2009-08-25 Nike, Inc. Footwear products including data transmission capabilities
DE102006020506B4 (de) 2006-04-22 2014-05-15 Rittal Gmbh & Co. Kg Kühlgerät
US7795861B2 (en) 2006-05-02 2010-09-14 Cairos Technologies Ag Method and apparatus for controlling a movable object for localization within a positioning area
US7607243B2 (en) 2006-05-03 2009-10-27 Nike, Inc. Athletic or other performance sensing systems
CN101472492B (zh) 2006-05-03 2011-05-25 阿什顿·沃尔特·毕晓普 具有颜色指示装置以指示多种情况的鞋
US7426873B1 (en) 2006-05-04 2008-09-23 Sandia Corporation Micro electro-mechanical system (MEMS) pressure sensor for footwear
KR100702613B1 (ko) 2006-05-30 2007-04-03 주식회사 아이손 콘트롤러를 장착한 인공지능신발과 운동량측정방법
JP2008003752A (ja) 2006-06-21 2008-01-10 Seiko Epson Corp 情報表示システム
EP1879149B1 (en) 2006-07-10 2016-03-16 Fondazione Bruno Kessler method and apparatus for tracking a number of objects or object parts in image sequences
US8626472B2 (en) 2006-07-21 2014-01-07 James C. Solinsky System and method for measuring balance and track motion in mammals
US8668585B2 (en) * 2006-08-11 2014-03-11 Disney Enterprises, Inc. Location based gaming system
JP4305671B2 (ja) * 2006-08-22 2009-07-29 ソニー株式会社 健康運動支援システム、携帯型音楽再生装置、サービス情報提供装置、情報処理装置、健康運動支援方法
US7446505B2 (en) 2006-08-24 2008-11-04 Symbol Technologies, Inc. System and method for calculating a state of charge of a battery
US7684755B2 (en) 2006-08-29 2010-03-23 Motorola, Inc. Garment for controlling an electronic device
WO2008030484A2 (en) * 2006-09-07 2008-03-13 Nike, Inc. Athletic performance sensing and/or tracking systems and methods
US7771320B2 (en) * 2006-09-07 2010-08-10 Nike, Inc. Athletic performance sensing and/or tracking systems and methods
EP2073905B1 (en) 2006-09-11 2014-12-31 James A. Aman System and methods for translating sports tracking data into statistics and performance measurements
US7997007B2 (en) 2006-09-15 2011-08-16 Early Success, Inc. Stimulus training system and apparatus to effectuate therapeutic treatment
US7637172B2 (en) 2006-09-19 2009-12-29 Mattel, Inc. Electronic device with speed measurement and output generation
JP2008073209A (ja) 2006-09-21 2008-04-03 Seiko Epson Corp 球技用のボール、その挙動評価支援装置、その挙動評価支援システム
JP2008083752A (ja) 2006-09-25 2008-04-10 Toyo Networks & System Integration Co Ltd 印刷システム及びその印刷方法
JP2008084158A (ja) * 2006-09-28 2008-04-10 Toyota Motor Corp 入力装置
US7688906B2 (en) 2006-09-29 2010-03-30 Intel Corporation Wireless frame having alternating cyclic prefixes
US8128410B2 (en) 2006-09-29 2012-03-06 Nike, Inc. Multi-mode acceleration-based athleticism measurement system
US7719469B2 (en) 2006-10-06 2010-05-18 Cairos Technologies Ag Device and method for position measurement by means of linear doppler shifts generated
DE102006047376B3 (de) 2006-10-06 2008-04-10 Cairos Technologies Ag Konzept zur Torentscheidung mittels Magnetfeldern
CN200977748Y (zh) 2006-10-07 2007-11-21 珠海天威技术开发有限公司 分体式墨盒
US20080177507A1 (en) 2006-10-10 2008-07-24 Mian Zahid F Sensor data processing using dsp and fpga
US20080255794A1 (en) 2006-10-11 2008-10-16 Levine James A Physical activity monitoring and prompting system
JP4327191B2 (ja) 2006-10-12 2009-09-09 株式会社椿本チエイン 脱気型油圧テンショナ
US8079925B2 (en) 2006-10-12 2011-12-20 Cairos Technologies Ab Concept for activating a game device
DE102007001820B3 (de) 2006-10-12 2008-01-24 Cairos Technologies Ag Konzept zur Erkennung eines Kontakts mit einem Spielgerät
US7617068B2 (en) 2006-10-20 2009-11-10 Amfit, Inc. Method for determining relative mobility or regions of an object
US8315171B2 (en) 2006-10-31 2012-11-20 Oracle America, Inc. Adaptive management of computing resources
US7726206B2 (en) 2006-11-02 2010-06-01 The Regents Of The University Of California Foot pressure alert and sensing system
WO2008061023A2 (en) 2006-11-10 2008-05-22 Mtv Networks Electronic game that detects and incorporates a user's foot movement
EP1928178A1 (en) 2006-11-30 2008-06-04 Nederlandse Organisatie voor Toegepast-Natuuurwetenschappelijk Onderzoek TNO Automatic monitoring a game object or game participant
TWM322745U (en) 2006-12-05 2007-12-01 Ting-Jiun Chen Pad for shoes
US20090259566A1 (en) 2006-12-06 2009-10-15 Action Airgun Llc System, Method, and Apparatus For Organizing and Implementing A Real-Life, Physical Activity
US20080134583A1 (en) 2006-12-06 2008-06-12 Doron Polus Non-hanging sliding door system
US7983933B2 (en) * 2006-12-06 2011-07-19 Microsoft Corporation Patient monitoring via image capture
CN200994779Y (zh) 2006-12-06 2007-12-26 国家体育总局体育科学研究所 人体步态运动测量鞋及其能量消耗实时监测装置
CN101202994B (zh) * 2006-12-14 2012-10-24 北京三星通信技术研究有限公司 辅助用户健身的方法和装置
DE102007013025A1 (de) 2007-01-02 2008-07-10 Cairos Technologies Ag Konzept zur Erfassung eines Innendrucks eines kompressiblen Gegenstandes
US7924271B2 (en) 2007-01-05 2011-04-12 Apple Inc. Detecting gestures on multi-event sensitive devices
CA2578515A1 (en) 2007-01-12 2008-07-12 Truecontext Corporation Method and system for real time records from aggregated mobile data
US20080172498A1 (en) 2007-01-12 2008-07-17 John Christian Boucard System and Apparatus for Managing Interactive Content, Advertising, and Devices
US7946960B2 (en) 2007-02-05 2011-05-24 Smartsports, Inc. System and method for predicting athletic ability
CN101240461B (zh) 2007-02-08 2010-06-23 中国纺织科学研究院 一种纤维素纺丝液的制备方法
EP2125124B1 (en) 2007-02-14 2016-04-13 NIKE Innovate C.V. Collection and display of athletic information
WO2008101203A1 (en) 2007-02-16 2008-08-21 Thermal Solutions, Inc. Inductively heated clothing
DE102007009232B3 (de) 2007-02-26 2008-09-04 Cairos Technologies Ag Vorrichtung und Verfahren zum Erzeugen eines Magnetfeldes in einem Torraum zur Torentscheidung
US7698101B2 (en) 2007-03-07 2010-04-13 Apple Inc. Smart garment
US8533001B2 (en) 2007-03-28 2013-09-10 Physfarm Training Systems, Llc System and method for computing athletic performance
FI121231B (fi) 2007-03-30 2010-08-31 Metso Paper Inc Menetelmä ja lajitteluramppi rullien käsittelyä varten
DE102007015493A1 (de) 2007-03-30 2008-10-02 Cairos Technologies Ag Bewegungsbereich für einen mobilen Gegenstand und Auswertungsvorrichtung zum Feststellen einer Position eines mobilen Gegenstands
KR100819205B1 (ko) 2007-04-02 2008-04-03 (주)휴모닉 운동 상태를 감지하는 지능형 런닝 머신 및 이를동작시키는 방법
US8032472B2 (en) 2007-04-04 2011-10-04 Tuen Solutions Limited Liability Company Intelligent agent for distributed services for mobile devices
US20080255413A1 (en) 2007-04-13 2008-10-16 Michael Zemlok Powered surgical instrument
US20080259028A1 (en) 2007-04-19 2008-10-23 Brenda Teepell Hand glove mouse
US9028430B2 (en) 2007-04-19 2015-05-12 Nike, Inc. Footwork training system and method
US20080269644A1 (en) 2007-04-26 2008-10-30 Ray Gregory C Precision Athletic Aptitude and Performance Data Analysis System
US7625314B2 (en) 2007-04-30 2009-12-01 Nike, Inc. Adaptive training system with aerial mobility system
US7805131B2 (en) 2007-05-03 2010-09-28 Sonus Networks, Inc. Personal service integration on a network
US7634379B2 (en) 2007-05-18 2009-12-15 Ultimate Balance, Inc. Newtonian physical activity monitor
AU2008202170B2 (en) 2007-05-18 2012-09-06 Catapult Group International Ltd Improved Sports Sensor
US20080291272A1 (en) * 2007-05-22 2008-11-27 Nils Oliver Krahnstoever Method and system for remote estimation of motion parameters
US20080293023A1 (en) * 2007-05-26 2008-11-27 Diehl Glen M Sports instruction system and method
US20080300914A1 (en) 2007-05-29 2008-12-04 Microsoft Corporation Dynamic activity management
US20080297608A1 (en) * 2007-05-30 2008-12-04 Border John N Method for cooperative capture of images
US20080306410A1 (en) 2007-06-05 2008-12-11 24/8 Llc Methods and apparatuses for measuring pressure points
FI20075426A0 (fi) 2007-06-08 2007-06-08 Polar Electro Oy Suoritemittari, lähetysmenetelmä ja tietokoneohjelmatuote
US20080318679A1 (en) 2007-06-21 2008-12-25 Alexander Bach Tran Foot game controller with motion detection and/or position detection
JP5394376B2 (ja) 2007-07-09 2014-01-22 コーニンクレッカ フィリップス エヌ ヴェ バッテリの充電状態を決定する方法及び装置
US20090027917A1 (en) 2007-07-23 2009-01-29 Inventec Corporation Optical fiber indicator light
JP5455294B2 (ja) 2007-07-23 2014-03-26 三菱重工業株式会社 冷媒圧縮機
JP4992595B2 (ja) * 2007-07-27 2012-08-08 オムロンヘルスケア株式会社 活動量計
ES2412891T3 (es) 2007-08-15 2013-07-12 Catapult Innovations Pty Ltd Seguimiento de balones en los deportes
US20090048918A1 (en) 2007-08-16 2009-02-19 Dawson Christopher J Acquisition of avatar rewards through advertisement exposure
US8360904B2 (en) 2007-08-17 2013-01-29 Adidas International Marketing Bv Sports electronic training system with sport ball, and applications thereof
US8702430B2 (en) 2007-08-17 2014-04-22 Adidas International Marketing B.V. Sports electronic training system, and applications thereof
US8221290B2 (en) 2007-08-17 2012-07-17 Adidas International Marketing B.V. Sports electronic training system with electronic gaming features, and applications thereof
US20110021317A1 (en) 2007-08-24 2011-01-27 Koninklijke Philips Electronics N.V. System and method for displaying anonymously annotated physical exercise data
US9477395B2 (en) * 2007-09-04 2016-10-25 Apple Inc. Audio file interface
US20090076341A1 (en) 2007-09-14 2009-03-19 Corventis, Inc. Adherent Athletic Monitor
WO2009043024A1 (en) 2007-09-28 2009-04-02 Nike, Inc. System and method for creating a team sport community
US7621223B2 (en) 2007-10-05 2009-11-24 Alireza Haghayegh Corner shelf system
ITBO20070701A1 (it) 2007-10-19 2009-04-20 Technogym Spa Dispositivo per l'analisi ed il monitoraggio dell'attivita' fisica di un utente.
US20090135001A1 (en) 2007-11-02 2009-05-28 Lo Tong Yuk Pressure sensing system
US20090129402A1 (en) 2007-11-21 2009-05-21 Simple Star, Inc. Method and System For Scheduling Multimedia Shows
US8066032B2 (en) 2007-11-21 2011-11-29 Diversatech, Inc. Apparatus for instantaneously terminating movement of flow material through a conduit
US20090137933A1 (en) 2007-11-28 2009-05-28 Ishoe Methods and systems for sensing equilibrium
US20090144084A1 (en) 2007-11-28 2009-06-04 Neumaier Ian M Educational Fitness and Health Training System and Method Having Research Capabilities
US8892999B2 (en) 2007-11-30 2014-11-18 Nike, Inc. Interactive avatar for social network services
US9782660B2 (en) * 2007-11-30 2017-10-10 Nike, Inc. Athletic training system and method
WO2009076307A2 (en) 2007-12-07 2009-06-18 Nike, Inc. Cardiovascular miles
WO2009073978A1 (en) * 2007-12-10 2009-06-18 4419341 Canada Inc. Method and system for the creation of a personalized video
US20090153477A1 (en) 2007-12-12 2009-06-18 Saenz Valentin L Computer mouse glove
US7807962B2 (en) 2007-12-13 2010-10-05 Precision Energy Services, Inc. Borehole tester apparatus and methods for using nuclear electromagnetic radiation to determine fluid properties
JP2009148338A (ja) 2007-12-19 2009-07-09 Panasonic Corp 携帯機器、およびそのプログラム
US7892107B2 (en) 2007-12-21 2011-02-22 Karsten Manufacturing Corporation Shaft cap associated with golf clubs and methods to manufacture golf clubs
US8123660B2 (en) 2007-12-28 2012-02-28 Immersion Corporation Method and apparatus for providing communications with haptic cues
US7391886B1 (en) 2008-01-09 2008-06-24 International Business Machines Corporation Digital camera with image tracking system
US20100004566A1 (en) 2008-01-11 2010-01-07 Esoles, L,L.C. Intelligent orthotic insoles
WO2009102813A2 (en) 2008-02-14 2009-08-20 Infomotion Sports Technologies, Inc. Electronic analysis of athletic performance
KR100892665B1 (ko) * 2008-02-19 2009-04-15 (주)개선스포츠 운동자세 및 운동량을 알려주는 헬스 웨이트 서비스 방법
US20110230986A1 (en) 2008-02-20 2011-09-22 Nike, Inc. Systems and Methods for Storing and Analyzing Golf Data, Including Community and Individual Golf Data Collection and Storage at a Central Hub
KR100979198B1 (ko) 2008-03-26 2010-08-31 (주) 플레이볼 경기내용 분석 및 경기력 향상을 위한 시뮬레이션 시스템및 방법
US8257189B2 (en) 2008-04-03 2012-09-04 Geogolf, Llc Advanced golf monitoring system, method and components
EP2282819A4 (en) * 2008-04-09 2015-10-07 Nike Innovate Cv SYSTEM AND METHOD FOR MONITORING ATHLETIC PERFORMANCE
FR2929827A1 (fr) 2008-04-14 2009-10-16 Commissariat Energie Atomique Semelle a capteurs de force.
US8446378B2 (en) 2008-04-16 2013-05-21 Nike, Inc. Athletic performance user interface for mobile device
US8192295B2 (en) 2008-05-12 2012-06-05 Callaway Golf Company Method and apparatus for evaluating a putt
US9549585B2 (en) 2008-06-13 2017-01-24 Nike, Inc. Footwear having sensor system
CN105768322A (zh) * 2008-06-13 2016-07-20 耐克创新有限合伙公司 具有传感器系统的鞋
US10070680B2 (en) 2008-06-13 2018-09-11 Nike, Inc. Footwear having sensor system
US20100000121A1 (en) 2008-07-01 2010-01-07 Andrew Neil Brodie Insole for an Item of Footwear and an Item of Footwear Comprising the Same
DE102008040663B4 (de) 2008-07-24 2021-06-24 Zf Friedrichshafen Ag Getriebesteuerungseinrichtung eines Getriebes für einen Antriebsstrang
US8142267B2 (en) 2008-08-18 2012-03-27 Derek Adams Method and system for training a baseball player
US20100129780A1 (en) * 2008-09-12 2010-05-27 Nike, Inc. Athletic performance rating system
JP4768788B2 (ja) 2008-09-12 2011-09-07 株式会社東芝 半導体装置およびその製造方法
US7901325B2 (en) 2008-09-12 2011-03-08 Joe Henderson Athletic training device
US20130079907A1 (en) 2008-09-12 2013-03-28 Kristopher L Homsi Golf athleticism rating system
KR20100032572A (ko) 2008-09-18 2010-03-26 주식회사 하이닉스반도체 저항성 메모리 소자 및 그 제조 방법
TWI394971B (zh) 2008-09-23 2013-05-01 Ind Tech Res Inst 電池特性追蹤方法及電路
US8291018B2 (en) * 2008-09-30 2012-10-16 Nokia Corporation Methods, apparatuses, and computer program products for providing activity coordination services
US9409052B2 (en) 2008-10-03 2016-08-09 Adidas Ag Program products, methods, and systems for providing location-aware fitness monitoring services
JP2010088886A (ja) 2008-10-03 2010-04-22 Adidas Ag 場所認識型スポーツ活動モニタリングサービスを提供するためのプログラム製品、方法及びシステム
US8870780B2 (en) 2008-10-15 2014-10-28 The Board Of Trustees Of The Leland Stanford Junior University Systems and methods for monitoring heart function
US20100279822A1 (en) 2008-11-01 2010-11-04 Ford John Hajime Systems and methods for optimizing one or more audio tracks to a video stream
US20100125028A1 (en) 2008-11-17 2010-05-20 Life 4 Kids, Llc Physical Activity Reward System
EP4039342A1 (en) 2008-11-25 2022-08-10 Fox Factory, Inc. Methods and apparatus for virtual competition
US20100184564A1 (en) 2008-12-05 2010-07-22 Nike, Inc. Athletic Performance Monitoring Systems and Methods in a Team Sports Environment
US20100152619A1 (en) 2008-12-16 2010-06-17 24/8 Llc System, method, and computer-program product for measuring pressure points
KR101024084B1 (ko) 2009-02-03 2011-03-22 전북대학교산학협력단 2인이 함께하는 균형 감각 재활 훈련기기
JP2010192012A (ja) * 2009-02-16 2010-09-02 Fujifilm Corp 携帯型音楽再生装置
WO2010096691A2 (en) * 2009-02-20 2010-08-26 The Regents Of The University Of Colorado, A Body Corporate Footwear-based body weight monitor and postural allocation, physical activity classification, and energy expenditure calculator
US8061061B1 (en) 2009-02-25 2011-11-22 Rogue Rivas Combined footwear and associated fastening accessory
EP2404681B1 (en) 2009-03-02 2018-11-07 Bridgestone Corporation Method of producing steel wire
CN101822895A (zh) * 2009-03-04 2010-09-08 锐选自动化科技(上海)有限公司 体育项目训练辅导系统数据图像同步系统
US8131498B1 (en) 2009-03-11 2012-03-06 Mccauley Jack J Systems and methods for an improved weight distribution sensory device with integrated controls
WO2010111705A2 (en) 2009-03-27 2010-09-30 Infomotion Sports Technologies, Inc. Monitoring of physical training events
JP5750214B2 (ja) 2009-03-30 2015-07-15 日本信号株式会社 無線距離・速度計測装置
FI20095386A0 (fi) * 2009-04-08 2009-04-08 Polar Electro Oy Kannettava laite
US8212158B2 (en) 2009-04-13 2012-07-03 Wiest Pieter C Weight measuring shoe having a retractable scale
US20100312083A1 (en) 2009-04-20 2010-12-09 Phil Southerland System for Monitoring Glucose and Measuring Wattage
CN103955131B (zh) * 2009-04-26 2017-04-12 耐克创新有限合伙公司 在运动手表系统中的gps特征和功能
US8237787B2 (en) 2009-05-02 2012-08-07 Steven J. Hollinger Ball with camera and trajectory control for reconnaissance or recreation
US20120050351A1 (en) 2009-05-15 2012-03-01 Osram Ag Method for operating a projector having a high-pressure discharge lamp
US8200323B2 (en) 2009-05-18 2012-06-12 Adidas Ag Program products, methods, and systems for providing fitness monitoring services
US8105208B2 (en) 2009-05-18 2012-01-31 Adidas Ag Portable fitness monitoring systems with displays and applications thereof
US8033959B2 (en) 2009-05-18 2011-10-11 Adidas Ag Portable fitness monitoring systems, and applications thereof
US9492092B2 (en) 2009-05-20 2016-11-15 Sotera Wireless, Inc. Method for continuously monitoring a patient using a body-worn device and associated system for alarms/alerts
CN101599179B (zh) * 2009-07-17 2011-06-01 北京邮电大学 场地运动精彩镜头集锦自动生成方法
US20110021280A1 (en) 2009-07-27 2011-01-27 Vladimir Boroda Hitting technique by identifying ball impact points
US8467979B2 (en) 2009-10-08 2013-06-18 Alluvial Joules, Inc. Intelligent sport shoe system
US8990045B2 (en) * 2009-11-18 2015-03-24 Silicon Valley Micro E Corp. Pedometer with shoe mounted sensor and transmitter
US7934983B1 (en) 2009-11-24 2011-05-03 Seth Eisner Location-aware distributed sporting events
FI20096365A0 (fi) * 2009-12-18 2009-12-18 Polar Electro Oy Järjestelmä harjoitukseen liittyvän tiedon käsittelemiseksi
JP2011189014A (ja) 2010-03-15 2011-09-29 Konami Sports & Life Co Ltd トレーニングメニュー提案システム及びコンピュータプログラム
CN102218214A (zh) 2010-04-13 2011-10-19 上海薄荷信息科技有限公司 一种捕捉运动信息的装置及相应的系统
US20110298301A1 (en) * 2010-04-20 2011-12-08 Equal Networks, Inc. Apparatus, system, and method having a wi-fi compatible alternating current (ac) power circuit module
CN101853133B (zh) * 2010-05-31 2013-03-20 中兴通讯股份有限公司 一种自动识别手势的方法及移动终端
US9532734B2 (en) 2010-08-09 2017-01-03 Nike, Inc. Monitoring fitness using a mobile device
US8994826B2 (en) 2010-08-26 2015-03-31 Blast Motion Inc. Portable wireless mobile device motion capture and analysis system and method
KR101605999B1 (ko) 2010-11-01 2016-03-23 나이키 이노베이트 씨.브이. 운동 기능을 가지는 착용가능한 장치 조립체
CN103282907A (zh) 2010-11-05 2013-09-04 耐克国际有限公司 自动个人训练的方法和系统
US9081889B2 (en) * 2010-11-10 2015-07-14 Apple Inc. Supporting the monitoring of a physical activity
US8484654B2 (en) 2010-11-23 2013-07-09 International Business Machines Corporation Determining suitable network interface for partition deployment/re-deployment in a cloud environment
CN201948063U (zh) 2010-12-22 2011-08-31 福建物联天下信息科技有限公司 一种多功能智能鞋
CN107224026B (zh) 2011-02-17 2020-04-21 耐克创新有限合伙公司 具有传感器系统的鞋
WO2012112903A2 (en) 2011-02-17 2012-08-23 Nike International Ltd. Location mapping
US8784274B1 (en) 2011-03-18 2014-07-22 Thomas C. Chuang Athletic performance monitoring with body synchronization analysis
LU91810B1 (en) 2011-04-22 2012-10-23 Iee Sarl Footwear article with pressure sensor
US8446275B2 (en) 2011-06-10 2013-05-21 Aliphcom General health and wellness management method and apparatus for a wellness application using data from a data-capable band
CN104204830B (zh) 2012-01-19 2018-03-09 耐克创新有限合伙公司 活动监测装置和它的电源管理方法
US8739639B2 (en) 2012-02-22 2014-06-03 Nike, Inc. Footwear having sensor system
US9125595B2 (en) 2012-12-20 2015-09-08 SmartMove, Inc. System and insole for measuring information from the foot of a user and related method of providing same
US20150062440A1 (en) 2013-09-04 2015-03-05 Glenn Austin Baxter Apparatus, method and system for motion recording of a remote device and presentation of useful information thereof

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6656042B2 (en) * 2000-03-24 2003-12-02 Espn-Starwave Partners Interactive fantasy lottery
US20100231580A1 (en) * 2005-03-18 2010-09-16 Seiko Epson Corporation Electrophoretic display device and driving method thereof
US20070073178A1 (en) * 2005-09-29 2007-03-29 Berkeley Heartlab, Inc. Monitoring device for measuring calorie expenditure
US20090150178A1 (en) * 2007-12-05 2009-06-11 Rick Douglas Sutton Method And System For Tracking Physical Metrics In A Social Commerce System
US20100286601A1 (en) * 2007-12-26 2010-11-11 Ofer Yodfat Maintaining glycemic control during exercise
US20090171614A1 (en) * 2007-12-27 2009-07-02 Move2Health Holding Bv System and Method for Processing Raw Activity Energy Expenditure Data
US7921716B2 (en) * 2008-03-20 2011-04-12 University Of Utah Research Foundation Method and system for measuring energy expenditure and foot incline in individuals
US20100113160A1 (en) * 2008-11-06 2010-05-06 At&T Intellectual Property I, L.P. Massively multiplayer online gaming through a mobile device
US8253586B1 (en) * 2009-04-24 2012-08-28 Mayfonk Art, Inc. Athletic-wear having integral measuring sensors
US20110136627A1 (en) * 2009-12-03 2011-06-09 Williams Michael C Exercise derived currency for exchange or grading
US20120041767A1 (en) * 2010-08-11 2012-02-16 Nike Inc. Athletic Activity User Experience and Environment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
karen Frazier; how many calories to 1 carb?; 11/12/10; livestron website; 3 pages. *

Cited By (166)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11749133B2 (en) 2008-05-28 2023-09-05 Illinois Tool Works Inc. Welding training system
US9352411B2 (en) 2008-05-28 2016-05-31 Illinois Tool Works Inc. Welding training system
US11423800B2 (en) 2008-05-28 2022-08-23 Illinois Tool Works Inc. Welding training system
US20110060537A1 (en) * 2009-09-08 2011-03-10 Patrick Moodie Apparatus and method for physical evaluation
US10096268B2 (en) 2011-08-10 2018-10-09 Illinois Tool Works Inc. System and device for welding training
US10220259B2 (en) 2012-01-05 2019-03-05 Icon Health & Fitness, Inc. System and method for controlling an exercise device
US9522437B2 (en) 2012-02-10 2016-12-20 Illinois Tool Works Inc. Optical-based weld travel speed sensing system
US11590596B2 (en) 2012-02-10 2023-02-28 Illinois Tool Works Inc. Helmet-integrated weld travel speed sensing system and method
US10596650B2 (en) 2012-02-10 2020-03-24 Illinois Tool Works Inc. Helmet-integrated weld travel speed sensing system and method
US9511443B2 (en) 2012-02-10 2016-12-06 Illinois Tool Works Inc. Helmet-integrated weld travel speed sensing system and method
US11612949B2 (en) 2012-02-10 2023-03-28 Illinois Tool Works Inc. Optical-based weld travel speed sensing system
US20160113553A1 (en) * 2012-04-19 2016-04-28 Abraham Carter Matching System for Correlating Accelerometer Data to Known Movements
US9833173B2 (en) * 2012-04-19 2017-12-05 Abraham Carter Matching system for correlating accelerometer data to known movements
US20160113552A1 (en) * 2012-04-19 2016-04-28 Abraham Carter Matching System for Correlating Accelerometer Data to Known Movements
US20130282324A1 (en) * 2012-04-19 2013-10-24 Abraham Carter Matching System for Correlating Accelerometer Data to Known Movements
US9042596B2 (en) 2012-06-14 2015-05-26 Medibotics Llc Willpower watch (TM)—a wearable food consumption monitor
US20140313049A1 (en) * 2012-10-22 2014-10-23 Madison J. Doherty System and apparatus for graphical athletic performance analysis
US20140111352A1 (en) * 2012-10-22 2014-04-24 Madison J. Doherty System and apparatus for graphical athletic performance analysis
US9583014B2 (en) 2012-11-09 2017-02-28 Illinois Tool Works Inc. System and device for welding training
US9368045B2 (en) 2012-11-09 2016-06-14 Illinois Tool Works Inc. System and device for welding training
US10417935B2 (en) 2012-11-09 2019-09-17 Illinois Tool Works Inc. System and device for welding training
US10212986B2 (en) * 2012-12-09 2019-02-26 Arris Enterprises Llc System, apparel, and method for identifying performance of workout routines
US12009084B2 (en) * 2013-03-14 2024-06-11 Nike, Inc. Apparel and location information system
US20230005591A1 (en) * 2013-03-14 2023-01-05 Nike, Inc. Apparel and Location Information System
US10279212B2 (en) 2013-03-14 2019-05-07 Icon Health & Fitness, Inc. Strength training apparatus with flywheel and related methods
US10318708B2 (en) * 2013-03-14 2019-06-11 Nike, Inc. System and method for monitoring athletic activity from multiple body locations
US20140278125A1 (en) * 2013-03-14 2014-09-18 Nike, Inc. Apparel and Location Information System
US10482788B2 (en) 2013-03-15 2019-11-19 Illinois Tool Works Inc. Welding torch for a welding training system
USD1008280S1 (en) 2013-03-15 2023-12-19 Dexcom, Inc. Display screen or portion thereof with a graphical user interface with icons
USD778929S1 (en) * 2013-03-15 2017-02-14 Dexcom, Inc. Display screen or portion thereof with graphical user interface
US9583023B2 (en) 2013-03-15 2017-02-28 Illinois Tool Works Inc. Welding torch for a welding training system
USD767605S1 (en) * 2013-03-15 2016-09-27 Dexcom, Inc. Display screen or portion thereof with a graphical user interface with icons
US9713852B2 (en) 2013-03-15 2017-07-25 Illinois Tool Works Inc. Welding training systems and devices
USD870144S1 (en) 2013-03-15 2019-12-17 Dexcom, Inc. Display screen or portion thereof with a graphical user interface with icons
USD835146S1 (en) 2013-03-15 2018-12-04 Dexcom, Inc. Display screen or portion thereof with a graphical user interface with icons
USD914717S1 (en) 2013-03-15 2021-03-30 Dexcom, Inc. Display screen or portion thereof with graphical user interface
USD789968S1 (en) * 2013-03-15 2017-06-20 Dexcom, Inc. Display screen or portion thereof with a graphical user interface with icons
US9666100B2 (en) 2013-03-15 2017-05-30 Illinois Tool Works Inc. Calibration devices for a welding training system
US9728103B2 (en) 2013-03-15 2017-08-08 Illinois Tool Works Inc. Data storage and analysis for a welding training system
US9672757B2 (en) 2013-03-15 2017-06-06 Illinois Tool Works Inc. Multi-mode software and method for a welding training system
WO2014160538A3 (en) * 2013-03-25 2014-12-31 Jafarifesharaki Kiarash System and method for tracking fitness progress
US9529385B2 (en) 2013-05-23 2016-12-27 Medibotics Llc Smart watch and human-to-computer interface for monitoring food consumption
US9536449B2 (en) 2013-05-23 2017-01-03 Medibotics Llc Smart watch and food utensil for monitoring food consumption
US9254099B2 (en) 2013-05-23 2016-02-09 Medibotics Llc Smart watch and food-imaging member for monitoring food consumption
US10314492B2 (en) 2013-05-23 2019-06-11 Medibotics Llc Wearable spectroscopic sensor to measure food consumption based on interaction between light and the human body
US9171201B2 (en) 2013-05-30 2015-10-27 Atlas Wearables, Inc. Portable computing device and analyses of personal data captured therefrom
US9254432B2 (en) 2013-06-12 2016-02-09 ShotTracker, Inc. Basketball shot-tracking system
US9129153B2 (en) 2013-06-12 2015-09-08 ShotTracker, Inc. Basketball shot-tracking system
US9186568B2 (en) 2013-06-12 2015-11-17 ShotTracker, Inc. Basketball shot-tracking system
US11090753B2 (en) 2013-06-21 2021-08-17 Illinois Tool Works Inc. System and method for determining weld travel speed
US10545132B2 (en) 2013-06-25 2020-01-28 Lifescan Ip Holdings, Llc Physiological monitoring system communicating with at least a social network
WO2015061676A1 (en) * 2013-10-24 2015-04-30 Laws Jerl Lamont Training system and method
USD755193S1 (en) * 2013-12-02 2016-05-03 Tencent Technology (Shenzhen) Company Limited Display screen with graphical user interface
US11127313B2 (en) 2013-12-03 2021-09-21 Illinois Tool Works Inc. Systems and methods for a weld training system
US10056010B2 (en) 2013-12-03 2018-08-21 Illinois Tool Works Inc. Systems and methods for a weld training system
US9135347B2 (en) 2013-12-18 2015-09-15 Assess2Perform, LLC Exercise tracking and analysis systems and related methods of use
US9442100B2 (en) 2013-12-18 2016-09-13 Medibotics Llc Caloric intake measuring system using spectroscopic and 3D imaging analysis
WO2015094717A1 (en) * 2013-12-18 2015-06-25 Assess2Perform, LLC Exercise tracking and analysis systems and related methods of use
US10188890B2 (en) 2013-12-26 2019-01-29 Icon Health & Fitness, Inc. Magnetic resistance mechanism in a cable machine
US10170019B2 (en) 2014-01-07 2019-01-01 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US9751149B2 (en) 2014-01-07 2017-09-05 Illinois Tool Works Inc. Welding stand for a welding system
US11676509B2 (en) 2014-01-07 2023-06-13 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US10913126B2 (en) 2014-01-07 2021-02-09 Illinois Tool Works Inc. Welding software for detection and control of devices and for analysis of data
US10964229B2 (en) 2014-01-07 2021-03-30 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US11241754B2 (en) 2014-01-07 2022-02-08 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US9589481B2 (en) 2014-01-07 2017-03-07 Illinois Tool Works Inc. Welding software for detection and control of devices and for analysis of data
US10105782B2 (en) 2014-01-07 2018-10-23 Illinois Tool Works Inc. Feedback from a welding torch of a welding system
US9724788B2 (en) 2014-01-07 2017-08-08 Illinois Tool Works Inc. Electrical assemblies for a welding system
US9757819B2 (en) 2014-01-07 2017-09-12 Illinois Tool Works Inc. Calibration tool and method for a welding system
US9892376B2 (en) 2014-01-14 2018-02-13 Deere & Company Operator performance report generation
US20150199775A1 (en) * 2014-01-14 2015-07-16 Deere & Company Agronomic variation and team performance analysis
US10380704B2 (en) 2014-01-14 2019-08-13 Deere & Company Operator performance recommendation generation
WO2015108633A1 (en) * 2014-01-14 2015-07-23 Deere & Company Agronomic variation and team performance analysis
US10311527B2 (en) * 2014-01-14 2019-06-04 Deere & Company Agronomic variation and team performance analysis
US10453018B2 (en) 2014-01-14 2019-10-22 Deere & Company Agricultural information sensing and retrieval
US10433612B2 (en) 2014-03-10 2019-10-08 Icon Health & Fitness, Inc. Pressure sensor to quantify work
USD884730S1 (en) 2014-06-01 2020-05-19 Apple Inc. Display screen or portion thereof with graphical user interface
USD845325S1 (en) 2014-06-01 2019-04-09 Apple Inc. Display screen or portion thereof with graphical user interface
USD918263S1 (en) 2014-06-01 2021-05-04 Apple Inc. Display screen or portion thereof with graphical user interface
USD786921S1 (en) * 2014-06-01 2017-05-16 Apple Inc. Display screen or portion thereof with graphical user interface
USD910689S1 (en) 2014-06-01 2021-02-16 Apple Inc. Display screen or portion thereof with graphical user interface
US10426989B2 (en) 2014-06-09 2019-10-01 Icon Health & Fitness, Inc. Cable system incorporated into a treadmill
US10226396B2 (en) 2014-06-20 2019-03-12 Icon Health & Fitness, Inc. Post workout massage device
US10307853B2 (en) 2014-06-27 2019-06-04 Illinois Tool Works Inc. System and method for managing welding data
US10665128B2 (en) 2014-06-27 2020-05-26 Illinois Tool Works Inc. System and method of monitoring welding information
US10839718B2 (en) 2014-06-27 2020-11-17 Illinois Tool Works Inc. System and method of monitoring welding information
US9862049B2 (en) 2014-06-27 2018-01-09 Illinois Tool Works Inc. System and method of welding system operator identification
US9937578B2 (en) 2014-06-27 2018-04-10 Illinois Tool Works Inc. System and method for remote welding training
US9724787B2 (en) 2014-08-07 2017-08-08 Illinois Tool Works Inc. System and method of monitoring a welding environment
US11014183B2 (en) 2014-08-07 2021-05-25 Illinois Tool Works Inc. System and method of marking a welding workpiece
US11475785B2 (en) 2014-08-18 2022-10-18 Illinois Tool Works Inc. Weld training systems and methods
US9875665B2 (en) 2014-08-18 2018-01-23 Illinois Tool Works Inc. Weld training system and method
US10861345B2 (en) 2014-08-18 2020-12-08 Illinois Tool Works Inc. Weld training systems and methods
USD857734S1 (en) 2014-09-02 2019-08-27 Apple Inc. Display screen or portion thereof with graphical user interface
USD788808S1 (en) * 2014-09-02 2017-06-06 Apple Inc. Display screen or portion thereof with animated graphical user interface
USD884016S1 (en) 2014-09-02 2020-05-12 Apple Inc. Display screen or portion thereof with graphical user interface
USD952667S1 (en) 2014-09-02 2022-05-24 Apple Inc. Display screen or portion thereof with graphical user interface
USD871425S1 (en) 2014-09-02 2019-12-31 Apple Inc. Display screen or portion thereof with graphical user interface
USD835658S1 (en) 2014-09-02 2018-12-11 Apple Inc. Display screen or portion thereof with animated graphical user interface
USD920371S1 (en) 2014-09-02 2021-05-25 Apple Inc. Display screen or portion thereof with graphical user interface
US20160096071A1 (en) * 2014-10-07 2016-04-07 ShotTracker, Inc. Real-time event monitoring system for basketball-related activities
US10238941B2 (en) 2014-10-07 2019-03-26 ShotTracker, Inc. Basketball net which detects shots that have been made successfully
US11247289B2 (en) 2014-10-16 2022-02-15 Illinois Tool Works Inc. Remote power supply parameter adjustment
US10239147B2 (en) 2014-10-16 2019-03-26 Illinois Tool Works Inc. Sensor-based power controls for a welding system
US10373304B2 (en) 2014-11-05 2019-08-06 Illinois Tool Works Inc. System and method of arranging welding device markers
US11127133B2 (en) 2014-11-05 2021-09-21 Illinois Tool Works Inc. System and method of active torch marker control
US10210773B2 (en) 2014-11-05 2019-02-19 Illinois Tool Works Inc. System and method for welding torch display
US11482131B2 (en) 2014-11-05 2022-10-25 Illinois Tool Works Inc. System and method of reviewing weld data
US10490098B2 (en) 2014-11-05 2019-11-26 Illinois Tool Works Inc. System and method of recording multi-run data
US10204406B2 (en) 2014-11-05 2019-02-12 Illinois Tool Works Inc. System and method of controlling welding system camera exposure and marker illumination
US11192199B2 (en) 2014-11-05 2021-12-07 Illinois Tool Works Inc. System and method for weld-training system
US10417934B2 (en) 2014-11-05 2019-09-17 Illinois Tool Works Inc. System and method of reviewing weld data
US10402959B2 (en) 2014-11-05 2019-09-03 Illinois Tool Works Inc. System and method of active torch marker control
US10391361B2 (en) 2015-02-27 2019-08-27 Icon Health & Fitness, Inc. Simulating real-world terrain on an exercise device
USD918259S1 (en) * 2015-03-06 2021-05-04 Apple Inc. Display screen or portion thereof with icon
US10427239B2 (en) 2015-04-02 2019-10-01 Illinois Tool Works Inc. Systems and methods for tracking weld training arc parameters
USD797787S1 (en) * 2015-06-30 2017-09-19 Honeywell International Inc. Display screen or portion thereof with graphical interface for display of alarm indicators
US11594148B2 (en) 2015-08-12 2023-02-28 Illinois Tool Works Inc. Stick welding electrode holder systems and methods
US10373517B2 (en) 2015-08-12 2019-08-06 Illinois Tool Works Inc. Simulation stick welding electrode holder systems and methods
US10657839B2 (en) 2015-08-12 2020-05-19 Illinois Tool Works Inc. Stick welding electrode holders with real-time feedback features
US10593230B2 (en) 2015-08-12 2020-03-17 Illinois Tool Works Inc. Stick welding electrode holder systems and methods
US11081020B2 (en) 2015-08-12 2021-08-03 Illinois Tool Works Inc. Stick welding electrode with real-time feedback features
US12020586B2 (en) 2015-08-12 2024-06-25 Illinois Tool Works Inc. Stick welding electrode holder systems and methods
US10438505B2 (en) 2015-08-12 2019-10-08 Illinois Tool Works Welding training system interface
US11462124B2 (en) 2015-08-12 2022-10-04 Illinois Tool Works Inc. Welding training system interface
US20170082433A1 (en) * 2015-09-17 2017-03-23 Apple Inc. Wearable ambient pressure gauge
US10401167B2 (en) * 2015-09-17 2019-09-03 Apple Inc. Wearable ambient pressure gauge
US20170107800A1 (en) * 2015-10-14 2017-04-20 Fourth Dimension Designs Ltd. Plunger impact sensor
US20170124530A1 (en) * 2015-11-04 2017-05-04 Schneider Electric It Corporation Systems and methods for an environmental event and task manager
US10159888B2 (en) 2015-11-10 2018-12-25 ShotTracker, Inc. Location and event tracking system for games of sport
US10625137B2 (en) 2016-03-18 2020-04-21 Icon Health & Fitness, Inc. Coordinated displays in an exercise device
US10493349B2 (en) 2016-03-18 2019-12-03 Icon Health & Fitness, Inc. Display on exercise device
US10272317B2 (en) 2016-03-18 2019-04-30 Icon Health & Fitness, Inc. Lighted pace feature in a treadmill
USD875770S1 (en) 2016-06-11 2020-02-18 Apple Inc. Display screen or portion thereof with graphical user interface
US10671705B2 (en) 2016-09-28 2020-06-02 Icon Health & Fitness, Inc. Customizing recipe recommendations
USD838278S1 (en) * 2016-09-29 2019-01-15 United Services Automobile Association (Usaa) Display screen or portion thereof with a payday forecast graphical user interface
USD805089S1 (en) 2016-12-23 2017-12-12 Apple Inc. Display screen or portion thereof with graphical user interface
US10437243B2 (en) 2017-06-19 2019-10-08 Deere & Company Combine harvester control interface for operator and/or remote user
US11589507B2 (en) 2017-06-19 2023-02-28 Deere & Company Combine harvester control interface for operator and/or remote user
US12096716B2 (en) 2017-06-19 2024-09-24 Deere & Company Combine harvester control interface for operator and/or remote user
US10694668B2 (en) 2017-06-19 2020-06-30 Deere & Company Locally controlling settings on a combine harvester based on a remote settings adjustment
US11789413B2 (en) 2017-06-19 2023-10-17 Deere & Company Self-learning control system for a mobile machine
US10310455B2 (en) 2017-06-19 2019-06-04 Deere & Company Combine harvester control and communication system
US11027172B2 (en) 2018-03-23 2021-06-08 Thomas W. OSBRINK Device and methods for improved resistance training
US11495401B2 (en) 2018-03-27 2022-11-08 Ddsports, Inc. Proximity sensing system for wireless charging pods and charging pod racks for game devices with rechargeable batteries
US10862350B2 (en) 2018-03-27 2020-12-08 Ddsports, Inc. Wireless charging pod and charging pod rack for game devices with rechargeable batteries
US10782672B2 (en) 2018-05-15 2020-09-22 Deere & Company Machine control system using performance score based setting adjustment
USD876464S1 (en) * 2018-07-13 2020-02-25 Apple Inc. Electronic device with graphical user interface
USD916756S1 (en) 2018-07-13 2021-04-20 Apple Inc. Electronic device with graphical user interface
USD961603S1 (en) 2019-06-01 2022-08-23 Apple Inc. Electronic device with animated graphical user interface
USD1006040S1 (en) 2019-06-02 2023-11-28 Apple Inc. Electronic device with graphical user interface
USD962246S1 (en) 2019-06-02 2022-08-30 Apple Inc. Electronic device with graphical user interface
US11266883B2 (en) 2019-06-17 2022-03-08 Ddsports, Inc. Sports ball with electronics housed in shock-absorbing carrier
US11776423B2 (en) 2019-07-22 2023-10-03 Illinois Tool Works Inc. Connection boxes for gas tungsten arc welding training systems
US11288978B2 (en) 2019-07-22 2022-03-29 Illinois Tool Works Inc. Gas tungsten arc welding training systems
USD921669S1 (en) 2019-09-09 2021-06-08 Apple Inc. Display screen or portion thereof with animated graphical user interface
USD974371S1 (en) 2020-07-29 2023-01-03 Apple Inc. Display screen or portion thereof with graphical user interface
USD939573S1 (en) * 2020-08-11 2021-12-28 Proxy, Inc. Display screen or portion thereof with animated graphical user interface
USD939574S1 (en) * 2020-08-11 2021-12-28 Proxy, Inc. Display screen or portion thereof with animated graphical user interface
USD954077S1 (en) * 2020-08-13 2022-06-07 W.W. Grainger, Inc. Computer display screen or portion thereof with graphical user interface
USD954078S1 (en) * 2020-08-13 2022-06-07 W.W. Grainger, Inc. Computer display screen or portion thereof with graphical user interface
US12131663B2 (en) 2020-11-17 2024-10-29 Illinois Tool Works Inc. System and method of monitoring welding information
USD996449S1 (en) * 2020-12-24 2023-08-22 Samsung Electronics Co., Ltd. Display screen or portion thereof with graphical user interface
USD1042513S1 (en) 2022-06-03 2024-09-17 Apple Inc. Display screen or portion thereof with graphical user interface
USD1042495S1 (en) * 2022-06-05 2024-09-17 Apple Inc. Display screen or portion thereof with graphical user interface
USD1032631S1 (en) * 2022-06-08 2024-06-25 Prevue Holdings, Llc. Display screen with graphical user interface

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CA2827524A1 (en) 2012-11-29
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US20170014684A1 (en) 2017-01-19
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US20220028521A1 (en) 2022-01-27
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US20190184231A1 (en) 2019-06-20
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