WO2019032093A1 - Système et procédé d'alignement d'utilisateur et accessoire d'équipement sportif - Google Patents

Système et procédé d'alignement d'utilisateur et accessoire d'équipement sportif Download PDF

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Publication number
WO2019032093A1
WO2019032093A1 PCT/US2017/045828 US2017045828W WO2019032093A1 WO 2019032093 A1 WO2019032093 A1 WO 2019032093A1 US 2017045828 W US2017045828 W US 2017045828W WO 2019032093 A1 WO2019032093 A1 WO 2019032093A1
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WO
WIPO (PCT)
Prior art keywords
force
body position
analysis data
position analysis
data
Prior art date
Application number
PCT/US2017/045828
Other languages
English (en)
Inventor
Theodore J. Stechschulte
Jeffrey George COOPER
Original Assignee
I/P Solutions, Inc.
Aboutgolf, Limited
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by I/P Solutions, Inc., Aboutgolf, Limited filed Critical I/P Solutions, Inc.
Priority to PCT/US2017/045828 priority Critical patent/WO2019032093A1/fr
Publication of WO2019032093A1 publication Critical patent/WO2019032093A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes

Definitions

  • the invention relates to sports training and sports equipment fitting and, more particularly, to a system and method for measuring and optimizing the alignment of a user performing a sports motion.
  • Sports simulation environments are well-known and are often used to provide a training experience that provides a user with information relating to a user's performance typically not available to the user during ordinary participation in a sport and can encompass both the use of simulators, virtual reality or augmented virtual reality, and real-world locations, such as, for example, golf courses, practice ranges, sports fields, or stadiums.
  • a sports simulation environment may be used to simulate the experience of playing the game of golf without requiring a large area ordinarily necessary when a user participates in the sport.
  • Such simulated play often results in sports simulation equipment providing feedback to a user relating to their performance inside the sports simulation environment that allows the user to refine a technique or skill used in the sport with a goal of improving performance of the user during ordinary participation in the sport.
  • Equipment used within the sports simulation environment often include an object tracking device or sensor for detecting a changing position of an object, such as, for example a golf ball, traveling within the sports simulation environment and producing a signal in response thereto; a processor for receiving the signal generated by the object tracking device or sensor; and an output device that conveys information to the user.
  • the processor analyzes the signal from the object tracking device or sensor, wherein the analysis includes determining a relationship of the object to and within the simulated sports environment and generates a different signal that is conveyed to the user by the output device.
  • Sports simulation environments also afford the opportunity to record other data that may be analyzed. Recordation may be performed by one or more of a number of types of sensors or input devices that may be in communication with the processor or sports simulation system.
  • Recording the position, instance, or movement of the user's body and/or the position, instance, or movement of a sports implement solely or in relation to another point within the sports simulator or simulated environment may facilitate enhanced analysis that could provide valuable feedback to be used for optimizing the performance and consistency of a user's position, instance, or movement and, in addition, may be used to adjust a sports implement or a body appendage used as an implement to optimize a user's performance while using that particular sports implement or body appendage.
  • the process of creating an individualized sports implement is commonly known as fitting. Fitting may be recommended for a player of a sport because manufacturing tolerances for sports implements vary greatly, often resulting in inconsistent sports performances.
  • the process of adjusting a sports implement is commonly referred to as tuning and may be required after fitting because custom manufactured sports implements can have wide-ranging tolerances and because the use of sports implements may result in changes to their shape or material properties affecting a user's performance.
  • a fitter who typically has extensive knowledge and training about the tuning process, may gather performance information by observing a user playing a sport or by using sports simulation equipment. Further, a fitter may analyze at least one sports implement of a series of sports implements of a user to determine if the at least one sports implement analyzed should be adjusted.
  • players of some sports may use objects as reference positions in order to align themselves in a manner appropriate for the action they wish to perform, such as, for example, a football player may use the line of scrimmage to align their feet and body; a baseball player may use home plate to align their feet and body; or a golfer may use a distant target, a non-limiting example of which would be a flag stick, tree, or other object on the course, or an imagined line from the ball to a distant target to align their feet and body.
  • a distant target a non-limiting example of which would be a flag stick, tree, or other object on the course, or an imagined line from the ball to a distant target to align their feet and body.
  • positioning or alignment is crucial to the outcome of the sports action to be performed such that a player that is misaligned may miss a target or expend more energy than is necessary to achieve an optimized performance.
  • a system and method for measuring and optimizing the alignment of a user performing a sports motion that facilitates the user in alignment training, the development of muscle memory, and to generate and automatically track an alignment-to-target signature, has surprisingly been discovered.
  • the present invention is directed to a system for measuring and optimizing the alignment of a user performing a sports motion.
  • the system comprises a force analysis system and a processing unit.
  • the force analysis system comprises at least one of a force plate, a camera, and a sensor, the at least one of the force plate, the camera, and the sensor capable of detecting at least one of a position, an orientation, and a distribution of a body, at least one appendage, and at least one extremity of the user.
  • the processing unit is configured to receive at least one of force and body position analysis data from the force analysis system, determine at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data, perform statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data, and provide at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in relation to at least one of real-time user body kinematics and kinetics, the at least one of extrapolated force or body position analysis data, and at least one of a reference point, a reference object, and a reference line.
  • the present invention is directed to a method for measuring and optimizing the alignment of a user performing a sports motion.
  • the steps of the method comprise providing a force analysis system
  • a processing unit comprising at least one of a force plate, a camera, and a sensor, the at least one of the force plate, the camera, and the sensor capable of detecting at least one of a position, an orientation, and a distribution of a body, at least one appendage, and at least one extremity of the user; providing a processing unit; receiving at the processing unit at least one of force and body position analysis data from the force analysis system; determining at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data; performing a statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data; and providing at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in relation to at least one of real-time user body kinematics and kinetics, the at least one of extrapolated force or body position analysis data, and
  • the present invention is directed to a system for measuring and optimizing the alignment of a user performing a sports motion.
  • the system comprises a force analysis system, a storage medium, and a processing unit.
  • the force analysis system comprises at least one of a force plate, a camera, and a sensor, the at least one of the force plate, the camera, and the sensor capable of detecting at least one of a position, an orientation, and a distribution of a body, at least one appendage, and at least one extremity of the user.
  • the processing unit is configured to receive at least one of force and body position analysis data from the force analysis system.
  • the processing unit is further configured to store the at least one of force and body position analysis data on the storage medium, the at least one of force and body position analysis data including information about at least one of the position, the orientation, and the distribution of the body, the at least one appendage, and the at least one extremity of the user.
  • the processing unit is further configured to determine and store on the storage medium at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data comprising real-time user body kinematics and kinetics and at least one of real-time angular relationship and orientation data of the real-time user body kinematics and kinetics with respect to at least one of a reference point, a reference object, and a reference line.
  • the processing unit is further configured to obtain and store on the storage medium statistical force or body position analysis data, the statistical force or body position analysis data determined by performing statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data.
  • the FIGURE is a schematic illustration of system for measuring and optimizing the alignment of a user performing a sports motion.
  • the FIGURE illustrates a system 0 for measuring and optimizing an alignment of a user performing a sports motion.
  • the system 10 comprises a launch detection module 12, a display device 14, a storage medium 16, a force analysis system 18, a network connection 20, and a processing unit 22.
  • the launch detection module 12 which also may be referred to as a launch monitor, is well known in the art and may comprise a number of forms.
  • the launch detection module 12 may include at least one camera 12a for motion sensing and capture, a motion sensor 12b which may utilize a laser or radar array, at least one microphone for auditory sound recording, or any other technology known in the art or deemed suitable for monitoring a launch and flight parameters of a sports object.
  • the launch detection module 12 may further comprise a number of peripherals or accessories to be used for additional data capture, such as may be deemed appropriate.
  • the launch detection module 2 may comprise a set or series of peripheral devices and sensing equipment in communication with a processing or computing means or, alternatively, may comprise sensing equipment or peripheral devices bundled into a unit in communication with a standalone processing or computing means.
  • the launch detection module 12 may be in communication with the processing unit 22, the storage medium 16, the network connection 20, or any combination thereof.
  • the system 10 does not include a display device 14.
  • the processing unit 22 or the launch detection module 12 act to merely store the acquired and calculated information or data on the storage medium
  • This data can then be accessed at the same or at another time using separate unit, such as, for example, a computing device, PC, mobile phone, tablet, or other appropriate means.
  • separate unit such as, for example, a computing device, PC, mobile phone, tablet, or other appropriate means.
  • the display device 14 of the system 10 as described above is an exemplary output device that forms a portion of the system 10. It is understood that the system 10 may be configured with other and/or additional output devices instead of the display device 14.
  • An output device forming a portion of the system 10 is typically configured to receive data from at least one of the other components of the system 10. Non-limiting examples of data received by the output device are force analysis data, body position analysis data, extrapolated force analysis data, body position analysis data, statistical force analysis data, and body position analysis data.
  • any portion or all of the aforementioned examples of data received may be provided in relation to at least one of real-time user body kinematics and kinetics, at least one of extrapolated force or body position analysis data, and at least one of a reference point, a reference object, and a reference line.
  • the output device may be configured to receive at least one of real-time angular relationship and orientation data of the real-time user body kinematics and kinetics with respect to at least one of the reference point, the reference object, and the reference line.
  • the system 10 also comprises a storage medium 16 or a device capable of retaining data in digital, non-volatile format for extended periods of time.
  • the storage medium 16 may comprise hard disk drives, solid state drives, magnetic tape drives, NAND flash, or other appropriate means.
  • the storage medium 16 is ideally in communication with the processing unit 22, the launch detection module 12, and the force analysis system 18, allowing the processing unit 22, the launch detection module 12, and the force analysis system 18 to send information to be received by and written to the storage medium 16.
  • the storage medium 16 may only be in communication with less than all but one or more of the processing unit 22, the launch detection module 12, or the force analysis system 18.
  • the storage medium 16 may also be removable from the system 10 for replacement, archival purposes, or to be used with other equipment.
  • the storage medium 16 may be a standalone component capable of being placed in communication with a standalone processing means and launch monitor (not shown) or may also be part of a system that Includes the processing unit 22 and sensing equipment comprising the launch detection module 12.
  • the force analysis system 18 comprises devices appropriate for determining a plurality of moments and forces generated individually or together by objects placed or standing thereon.
  • the devices used by the force analysis system 18 may comprise one or more force plates 24 or similar force or strain measurement devices.
  • the force plates 24 may comprise a series or set of parallel strain gauges or other devices appropriate for determining a plurality of moments and forces generated individually or together by objects placed or standing thereon.
  • Such force plates 24 may also include such devices that measure electrical impedance through a conductive surface upon which objects are placed or to which force is applied creating measurable fluctuations or variability in the electrical field generated upon the surface.
  • the system 10 also comprises the network connection 20, which interconnects at least one of the launch detection module 12, the processing unit 22, the force analysis system 18, and the storage medium 16.
  • the processing unit 22 is in communication with the network connection 20 allowing data distribution over a local area network or the internet.
  • the network connection 20 may include technologies such as Ethernet, Wi-Fi, Bluetooth, or another appropriate technologies for distributing data across small and large networks.
  • the network connection 20 may also be in communication with other processing means or storage media (not shown) allowing for increased processing and data retention capabilities.
  • the network connection 20 may facilitate communication between the system 10 and/or its components and a network 28.
  • the network 28 may be a distributed computing network and a network cloud storage system in communication with at least one of the force analysis system 18 and the processing unit 22.
  • the processing unit 22 may be configured to output at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data using the network connection 20 to one of the distributed computing network and the network cloud storage system.
  • the system 10 also comprises the processing unit 22.
  • the processing unit 22 operates the launch detection module 12.
  • the processing unit 22 is in communication with the launch detection module 12, the force plates 24, and the display device 14.
  • the processing unit 22 may comprise a computing device, a CPU, a PCU, a microchip, a digital computer, or another device capable of performing computations or otherwise deemed appropriate by one skilled in the art.
  • the processing unit 22 may be an integral part of the launch detection module 2 or may be operated separately from the launch detection module 12 or isolated within the launch detection module 12 in its own module or array.
  • more than one processor, CPU, PCU, digital computer, or other device capable of performing computations or otherwise deemed appropriate can be arranged in an array to form the processing unit 22.
  • the processing unit 22 may comprise a cloud network or distributed computing array at a remote location, allowing access to data, processed or raw, from remote locations, wherein the raw data has been transmitted via the network connection 20 from the launch detection module 12, the storage medium 16, or other individual components of the invention.
  • the processing unit 22 may comprise an alignment module 26.
  • the alignment module 26 may be configured to receive at least one of force and body position analysis data from the force analysis system 8; determine at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data; perform statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data; and provide at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in relation to at least one of realtime user body kinematics and kinetics, the at least one of extrapolated force or body position analysis data, and at least one of the reference point, the reference object, and the reference line.
  • the system 10 can be used to both fit an individual with sports equipment as well as train such individuals in order to obtain better sports performance outcomes.
  • an individual performs a sports activity using a sports implement to strike a sports object and outcome metrics can be calculated and/or recorded by the system 10 in a sports simulation environment or a real world environment.
  • a non-limiting example of such could include a golfer using a golf club to hit a golf ball, wherein the golf club is the sports implement and the golf ball is the sports object, either of which is a type of equipment for which the individual may wish to be fitted accurately or the type of equipment on which the individual may wish to train in order to obtain a better sports performance outcome.
  • Examples of the better sports performance outcomes could include, for example, hitting more accurate golf shots, hitting more consistent golf shots, or achieving longer golf drives.
  • alternative embodiments may also be used for other sports activities, for example, baseball, softball, soccer, football, or hockey among others.
  • An individual may provide sports implement data or sports object data, comprising information regarding the shape, conformation, or physical or dynamic properties of the sports implement or sports object, to the processing unit 22 and the processing unit 22 may receive the data from wireless unique identifiers present on or in the sports implement or sports object that can be read using appropriate technology, such as, for example, radio frequency identification (RFID).
  • RFID radio frequency identification
  • the processing unit 22 may receive the data from peripheral devices offering appropriate technology that allows for perception of the physical or dynamic characteristics of the sports implement or object, such as, for example, a three-dimensional scanner.
  • the processing unit 22 receives launch data comprising raw data or computed data such as, for example, sports implement velocity, sports object velocity, sports object launch angle, and sports object spin, from the launch detection module 12.
  • the sports object spin can be determined using any number of algorithms or methods to determine the rotation of the sports object about its three axes.
  • the processing unit 22 determines extrapolated data from the launch data, such as, for example, sports object trajectory, distance, height, or offset from target line.
  • the processing unit 22 may also receive the raw or computed data from the force analysis system 18 and, if necessary, compute the force data, such as, for example, real-time moments generated by one or more feet or hands placed on the one or more force plates, positions of forces applied by one or more feet or hands placed on one or more force plates 24, real-time centers of pressure of the forces applied, real-time angle of the centers of pressure, real-time orientation of one or more feet or hands on the force plates, or real-time distances of the centers of pressure of one or more feet or hands with respect to the sports object. All of the launch data, extrapolated data, and force plate data are then stored on the storage medium 16.
  • the force data such as, for example, real-time moments generated by one or more feet or hands placed on the one or more force plates, positions of forces applied by one or more feet or hands placed on one or more force plates 24, real-time centers of pressure of the forces applied, real-time angle of the centers of pressure, real-time orientation of one or more feet or hands on the force plates, or real-time distance
  • the user uses any amount of the available launch data, extrapolated data, or statistical data in relation to one or more sports implements, sports objects, or a combination thereof to determine which sports equipment, implement or object, or adjustment to sports motion results in the optimal response in the chosen decision-making reference point.
  • a user may use any amount of the launch data, extrapolated data, statistical data, sports implement data, and sports object data to determine aspects of a decision-making reference point. Then, using the data from the force plates 24 in reference to any of the launch, extrapolated, or statistical data for a given sports implement or sports object, determine what combination of data from the force plates 24 yields i e optimal result in the chosen decision-making reference point. The user can then train to ensure proper placement of their feet on the force plates when addressing the sports object in view of the launch detection module 12 relative to one or more targets comprising points represented by objects or lines connecting one or more objects or one or more points on a user's anatomy or calculated centers of pressure or average positions for one or more appendages.
  • the system and method for measuring and optimizing the alignment of a user performing a sports motion provides many benefits to the user.
  • the system and method facilitates the user in alignment training, the development of muscle memory for the user, and by generating and automatically tracking an alignment-to-target signature.
  • the system and method allows a routine performance of the alignment of the user to be consistent and optimized for performance.
  • the system and method provides an optimal alignment of the user in relation to a reference point.
  • a reference point may comprise, for example, a hole on a golf course green or a projected version thereof.
  • the reference point may be a reference line, such as, for example, a line connecting the center of pressure or heels of both feet in relation to a reference point or a reference line.
  • Non-limiting examples of the reference line may be, for example, a line connecting a ball to a ball target, without any or for any sports implements.
  • the system and method ensures consistency of a stance of the user by guiding the user in replicating an alignment-to-a-target signature consistent with a best
  • the present invention is directed to a system for measuring and optimizing the alignment of a user performing a sports motion.
  • the system comprises a force analysis system and a processing unit.
  • the force analysis system comprises at least one of a force plate, a camera, and a sensor, the at least one of the force plate, the camera, and the sensor capable of detecting at least one of a position, an orientation, and a distribution of a body, at least one appendage, and at least one extremity of the user.
  • Trie processing unit is configured to receive at least one of force and body position analysis data from the force analysis system, determine at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data, perform statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data, and provide at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in relation to at least one of real-time user body kinematics and kinetics, the at least one of extrapolated force or body position analysis data, and at least one of a reference point, a reference object, and a reference line.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may further comprise a storage medium in communication with the force analysis system and the processing unit.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may be further characterized in that the at least one of force and body position analysis data includes information about at least one of a position, an orientation, and a distribution of the body, the at least one appendage, and the at least one extremity of the user.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may be further characterized in that the processing unit is further configured to determine the at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data comprising real-time user body kinematics and kinetics and at least one of real-time angular relationship and orientation data of the real-time user body kinematics and kinetics with respect to at least one of the reference point, the reference object, and the reference line.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may be further characterized in that the statistical force or body position analysis data is determined by performing statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may be further characterized in that the processing unit comprises an alignment module, the alignment module configured to: receive at least one of force and body position analysis data from the force analysis system; determine at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data; perform statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data; and provide at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in relation to at least one of real-time user body kinematics and kinetics, the at least one of extrapolated force or body position analysis data, and at least one of the reference point, the reference object, and the reference line.
  • the alignment module configured to: receive at least one of force and body position analysis data from the force analysis system; determine at least one of extrapolated force or body position
  • the system for measuring and optimizing the alignment of a user performing a sports motion may further comprise an output device, the output device configured to receive at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in relation to at least one of real-time user body kinematics and kinetics, the at least one of extrapolated force or body position analysis data, and at least one of the reference point, the reference object, and the reference line.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may be further characterized in that the processing unit is further configured to output at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data using the network connection to one of the distributed computing network and the network cloud storage system.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may be further characterized in that the force analysis system comprises at least one of the force plate, the camera, and the sensor is further capable of detecting at least one of a size, a shape, a position, an orientation, and a distribution of at least one sports implement used by the user performing a sports motion.
  • the system for measuring and optimizing the alignment of a user performing a sports motion may be further characterized in that the force analysis system comprises at least one of the force plate, the camera, and the sensor is further capable of detecting a launch condition and a motion through a space of a sports object.
  • the present invention is also directed to a method for measuring and optimizing the alignment of a user performing a sports motion.
  • the steps of the method comprise providing a force analysis system comprising at least one of a force plate, a camera, and a sensor, the at least one of the force plate, the camera, and the sensor capable of detecting at least one of a position, an orientation, and a distribution of a body, at least one appendage, and at least one extremity of the user; providing a processing unit; receiving at the processing unit at least one of force and body position analysis data from the force analysis system; determining at least one of extrapolated force or body position analysis data from the at least one of force and body position analysis data; performing a statistical analysis on at least one of the at least one of force and body position analysis data and the at least one of extrapolated force or body position analysis data; and providing at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in
  • the present invention is also directed to a system for measuring and optimizing the alignment of a user performing a sports motion.
  • the system comprises a force analysis system, a storage medium, and a processing unit.
  • the force analysis system comprises at least one of a force plate, a camera, and a sensor, the at least one of the force plate, the camera, and the sensor capable of detecting at least one of a position, an orientation, and a distribution of a body, at least one appendage, and at least one extremity of the user.
  • the processing unit is configured to receive at least one of force and body position analysis data from the force analysis system.
  • the processing unit is further configured to store the at least one of force and body position analysis data on the storage medium, the at least one of force and body position analysis data including information about at least one of the position, the orientation, and the distribution of the body, the at least one appendage, and the at least one extremity of the user.
  • the processing unit is further configured to provide at least a portion of the at least one of force and body position analysis data, the at least one of extrapolated force or body position analysis data, and the statistical force or body position analysis data in relation to at least one of the real-time user body kinematics and kinetics, the at least one of extrapolated force or body position analysis data, and the at least one of the reference point, the reference object, and the reference line.

Abstract

L'invention concerne un système de mesure et d'optimisation de l'alignement d'un utilisateur effectuant un mouvement sportif. Le système comprend un système d'analyse de force et une unité de traitement. Le système d'analyse de force peut comprendre une plaque de force, une caméra et un capteur permettant de détecter une position, une orientation et une distribution d'un corps, d'un appendice et d'une extrémité. L'unité de traitement est conçue pour recevoir des données d'analyse de force et de position de corps à partir du système d'analyse de force, pour déterminer des données extrapolées d'analyse de force ou de position de corps, pour effectuer une analyse statistique sur les données d'analyse de force et de position de corps et sur les données extrapolées et pour fournir au moins une partie des données collectées et générées en lien avec la cinématique et avec la cinétique du corps d'utilisateur en temps réel, des données de force extrapolées et des données de référence.
PCT/US2017/045828 2017-08-08 2017-08-08 Système et procédé d'alignement d'utilisateur et accessoire d'équipement sportif WO2019032093A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110245611A (zh) * 2019-06-14 2019-09-17 腾讯科技（深圳）有限公司 图像识别方法、装置、计算机设备和存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140114453A1 (en) * 2005-01-26 2014-04-24 K-Motion Interactive, Inc. Method and system for athletic motion analysis and instruction
US20140342844A1 (en) * 2011-09-20 2014-11-20 Brian Francis Mooney Apparatus and method for analysing a golf swing
US20150119157A1 (en) * 2007-08-10 2015-04-30 Full Swing Golf Sports simulator and simulation method
US20160158598A1 (en) * 2014-12-09 2016-06-09 Dunlop Sports Co., Ltd. Sporting Apparatus With Monitoring Device
US20170203172A1 (en) * 2016-01-15 2017-07-20 Seiko Epson Corporation Equipment display method, swing analysis apparatus, swing analysis system, swing analysis program, and recording medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140114453A1 (en) * 2005-01-26 2014-04-24 K-Motion Interactive, Inc. Method and system for athletic motion analysis and instruction
US20150119157A1 (en) * 2007-08-10 2015-04-30 Full Swing Golf Sports simulator and simulation method
US20140342844A1 (en) * 2011-09-20 2014-11-20 Brian Francis Mooney Apparatus and method for analysing a golf swing
US20160158598A1 (en) * 2014-12-09 2016-06-09 Dunlop Sports Co., Ltd. Sporting Apparatus With Monitoring Device
US20170203172A1 (en) * 2016-01-15 2017-07-20 Seiko Epson Corporation Equipment display method, swing analysis apparatus, swing analysis system, swing analysis program, and recording medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110245611A (zh) * 2019-06-14 2019-09-17 腾讯科技（深圳）有限公司 图像识别方法、装置、计算机设备和存储介质
CN110245611B (zh) * 2019-06-14 2021-06-15 腾讯科技（深圳）有限公司 图像识别方法、装置、计算机设备和存储介质

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