Classifications

• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B5/00—Measuring for diagnostic purposes; Identification of persons
  • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
  • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
• • A—HUMAN NECESSITIES
  • A63—SPORTS; GAMES; AMUSEMENTS
  • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
  • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
  • A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B5/00—Measuring for diagnostic purposes; Identification of persons
  • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
  • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
  • A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B5/00—Measuring for diagnostic purposes; Identification of persons
  • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
  • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
  • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
• • G—PHYSICS
  • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
  • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
  • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
  • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
  • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
  • A61B2503/10—Athletes
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
  • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
  • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B5/00—Measuring for diagnostic purposes; Identification of persons
  • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
  • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
  • A61B5/6802—Sensor mounted on worn items
  • A61B5/6803—Head-worn items, e.g. helmets, masks, headphones or goggles
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B5/00—Measuring for diagnostic purposes; Identification of persons
  • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
  • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
  • A61B5/6802—Sensor mounted on worn items
  • A61B5/6804—Garments; Clothes
  • A61B5/6806—Gloves

Definitions

• Embodiments of the invention relate to the field of data collection and analysis, and, in particular, to methods, systems, and devices for collecting and analyzing movement data of an athlete or a combat athlete during an athletic activity.
• movement data can be accurately measured and collected for use in various applications.
• movement data can be collected and used as an input method for video games, mobile devices, and graphics, among others.
• training and performance analysis of athletes or combat athletes is still mainly conducted by a professional trainer after observing the performance of an athlete or combat athlete.
• an athlete or a combat athlete's performance is filmed using a camera for more accurate review.
• a training professional develops training and performance strategies for the athlete or combat athlete based on the training professional's personal judgment.
• a method for analyzing movement of a combat athlete during a combat athletic activity comprises collecting data of the movement of the combat athlete by at least one three dimensional aecelerometer located within a device attached to the combat athlete; transmitting the collected data by at least one transmitter located within the device over a wireless network; receiving the collected data by a computing system over the wireless network; storing the received data by the computing system; analyzing or causing analysis of the received data by the computing system according to at least one predetermined parameter; determining or causing determination by the computing system of a training strategy for the combat athlete by comparing the movement data of the combat athlete of each predetermined parameter with a corresponding target value and determining parameters that need improvement; and displaying or causing display of the training strategy by the computing system, wherein the computing system comprises at least a computer processor and an electronic storage device.
• the computer system in the above method of analyzing movement of a combat athlete during an athletic activity comprises one or more computing systems.
• the combat athletic activity is boxing in the above method of analyzing movement of a combat athlete during a combat athletic activity.
• the combat athletic activity can also be kick boxing, Muay Thai, Jiu Jitsu, San Sau, Taekwondo, Karate, Kung Fu, or any other form of martial art.
• the device attached to the combat athlete in the above method of analyzing movement of a combat athlete during a combat athletic activity is located on at least one of a hand(s), inside a wrist(s), outside a wrist(s), on a leg(s), on an ankle(s), or on a foot of the combat athlete.
• the at least one predetermined parameter in the above method of analyzing movement of a combat athlete during a combat athletic activity is selected from a group comprising punch speed, number of punches per time, total number of punches, types of punches, punch force, punch trajectory, punch acceleration, and order of types of punches, kick speed, number of kicks per time, total number of kicks, types of kicks, kick force, kick trajectory, kick acceleration, and order of types of kicks.
• the computing system of the above method of analyzing movement of a combat athlete during a combat athletic activity is or is accessible by a mobile device.
• the target value for each parameter in the above method of analyzing movement of a combat athlete during a combat athletic activity is selected by the combat athlete based on at least one of age, gender, weight, experience, and rank of the combat athlete.
• the above method of analyzing movement of a combat athlete during a combat athletic activity further comprises determining by the computing system a fight strategy for the athlete based on the analyzed data.
• the fight strategy for the combat athlete based on the analyzed data in the above method of analyzing movement of a combat athlete during a combat athletic activit can be determined based on the combat athlete's performance of each predetermined parameter to create an effective combination of different types of movement.
• a system for analyzing movement of a combat athlete during a combat athletic activity comprises a computer processor configured to execute modules comprising at least: a receiving module programmed to receive data collected by at least one three dimensional accelerometer and transmitted by at least one transmitter over a wireless network, wherein the at least one three dimensional accelerometer and transmitter are located within a device attached to the combat athlete; a storage module programmed to store the received data; an analysis module programmed to analyze the received data according to at least one predetermined parameter; a training module programmed to determine a training strategy for the combat athlete by comparing the movement data of the combat athlete of each predetermined parameter with a corresponding target value and determining parameters that need improvement; and a display module programmed to cause display of the future training strategy.
• a system for analyzing movement of a combat athlete during a combat athletic activity comprises: at least one three dimensional accelerometer located within a device and configured to collect data of the movement of the combat athlete; and at least one transmitter located within the device and configured to transmit the collected data over a wireless network, the device being attached to the body of the combat athlete, wherein the transmitted data is received over a wireless network by a computing system configured to store and analyze the transmitted data based on at least one predetermined parameter and to determine a training strategy for the combat athlete by comparing the movement data of the combat athlete of each predetermined parameter with a corresponding target value, and wherein the computing system comprises at least a computer processor and an electronic storage device.
• a computer-readable, non-transitory storage medium having a computer program stored thereon for causing a suitably programmed computing system to process by one or more computer processors computer-program code by performing a method when tire computer program is executed on the suitably programmed computing system comprises: collecting data of movement of a combat athlete during a combat athletic activity by at least one three dimensional accelerometer located within a device; transmitting the collected data by at least one transmitter located within the device over a wireless network, wherein the device is attached to the combat athlete; receiving the collected data by a computing system oyer the wireless network; storing the received data in the computing system; analyzing or causing analysis of the received data by the computing system according to at least one predetermined parameter; determining or causing determination by the computing system of a training strategy for the combat athlete by comparing the movement data of the combat athlete of each predetermined parameter with a corresponding target value and determining parameters that need improvement; and displaying or causing display of the future training strategy by the computing system, wherein the
• a computer-implemented method for analyzing movement of a combat athlete during an athletic activity comprises: collecting data of the movement of the combat athlete by at least one three dimensional accelerometer located within a device attached to the athlete in a first time period; transmitting the collected data by at least one transmitter located within the device over a wireless network in a first time period; receiving the collected data by a computing system over the wireless network in a first time period; storing the received data by the computing system in a first time period; analyzing or causing analysis of the received data by the computing system according to at least one predetermined parameter in a first time period; collecting data of the movement of the combat athlete by at least one three dimensional accelerometer located within a device attached to the combat athlete in a second time period; transmitting the collected data by at least one transmitter located within the device over a wireless network in a second time period; receiving the collected data by a computing system over the wireless network in a second time period; storing the received data by the computing system in a second time period;
• the computer system in the above method of analyzing movement of a combat athlete during a combat athletic activity comprises one or more computing systems.
• a computer-implemented method may comprise receiving motion sensor data from a plurality of sensors attached to a plurality of combat athletes, storing the received data on a computer system, generating an electronic combat athlete profile for each combat athlete from at least a portion of the received data on the computer system, and selecting, based on the electronic combat athlete profiles from the plurality of combat athletes, similarly skilled combat athletes, wherein said selecting performed entirel by the computer system.
• a computer-implemented method for analyzing movement of a combat athlete during a combat athletic activity may comprise collecting data of the movement of the combat athlete by at least one three dimensional accelerometer located within a device attached to the combat athlete, transmitting the collected data by at least one transmitter located within the device over a wireless network, receiving the collected data by a computing system over the wireless network, storing the received data by the computing system, analyzing or causing analysis of the received data by the computing system, the analysis including comparing the collected data to a pre-selected model strike trajectory or pre-selected model combination of strike trajectories, and signaling to the user, in real time, with the computing system, when the received data correlates to the pre-selected strike trajectory model or pre-selected model combination of strike trajectories.
• a device for analyzing movement of a combat athlete during a combat athletic activity may comprise a glove configured to be attached to the extremity of a user, at least one three dimensional accelcrometer configured to be coupled to a mobile phone disposed on or within the glove, and a receiving space disposed on or within the glove.
• the receiving space may be configured to receive and secure a mobile phone to the glove,
• FIG. i is a block diagram depicting a high level overview of one embodiment of a system for collecting and analyzing movement data of an athlete or a combat athlete.
• FIG. 2 is a block diagram of an example embodiment of a configuration for a system and method of collecting and analyzing movement data of an athlete or a combat athlete.
• FIG. 3 is a schematic perspective view of system for collecting and analyzing movement data of at least one combat athlete.
• FIG. 4A is a perspective view of one embodiment of a device for collecting and transmitting movement data of an athlete or a combat athlete.
• FIG. 4B is a perspective view of the device from FIG. 4A with the cover removed.
• FIG. 4C is an exploded view of the device from FIG. 4A with the cover removed.
• FIG. 5A is a top view of the device from FIG. 4A placed on the palm of the athlete or combat athlete.
• FIG. 5B is a side view of the device from FIG. 4A being held by the bare hands of the athlete or combat athlete.
• FIGS. 6A-6F illustrate a device for collecting and transmitting movement data of an athlete or a combat athlete positioned in various exemplary locations on the athlete or the athlete's equipment.
• FIG. 7A is a side view of a simplified example of one embodiment of a combat training glove configured to attach one embodiment of a device for collecting and transmitting movement data of an athlete or a combat athlete.
• FIG. 7B is a side view of a simplified example of one embodiment of a device for collecting and transmitting movement data of an athlete or a combat athlete placed inside a fist of an athlete or a combat athlete inside a mixed martial arts glove.
• FIG. 7C is a side view of a simplified example of one embodiment of a device for collecting and transmitting movement data of an athlete or a combat athlete placed in or disposed within a mixed martial arts glove.
• FIG. 8A is a right side view of a combat training glove including a plurality of devices for collecting and transmitting movement data of an athlete or a combat athlete.
• FIG. 8B is a left side view of a combat training glove including a plurality of devices for collecting and transmitting movement data of an athlete or a combat athlete.
• FIG. 9A is a front view of combat training headgear including a plurality of devices for collecting and transmitting movement data of an athlete or a combat athlete.
• FIG. 9B is a side view of combat training headgear including a plurality of devices for collecting and transmitting movement data of an athlete or a combat athlete.
• FIG. 10 is a perspective view of combat training shin guards including a plurality of devices for collecting and transmitting movement data of an athlete or a combat athlete.
• FIG. 1 ⁇ A is a top view of a closed compartment for housing one or more devices for collecting and transmitting movement data.
• FIG. 1 I B is a side view of a closed compartment for housing one or more devices for collecting and transmitting movement data
• FIG. 1 1 C is a perspective view of a partially open compartment for housing one or more devices for collecting and transmitting movement data.
• FIG. 12 is a top view of an embodiment of a device for collecting and transmitting movement data of an athlete or a combat athlete that includes a mobile telephone.
• FIG. 13A is a top view of the device of FIG. 12 with the glove strap open and the mobile phone removed.
• FIG. 13B is a top schematic view of components that may be included in the device of FIG. 2.
• FIG. 14 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete or a combat athlete from different periods of time to develop a training strategy based on the improvement of c ertain skil ls of th e ath lete or com bat athlete.
• FIG. 15 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete or a combat athlete to develop a training strategy by comparing the collected data with preset target values of certain skills.
• FIG. 16 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete or a combat athlete to develop a fight strategy by comparing the collected data with target values of certain skills and building a fight strategy based on the highest scoring skills.
• FIG. 17 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete or a combat athlete to develop a fight strategy by comparing the collected data with target values of certain strike trajectories or combinations of strike trajectories.
• a system including one or more sensors configured to track accurate movement data of an athlete and report the data in real time to a computing device.
• the computing device can analyze, sort, store, and/or display the data.
• the system is configured to track and analyze the movements of a combat sports athlete.
• the sensors may be compact, shock resistant, use lo power, and/or transmit data wireiessiy.
• the computing device may be a mobile phone having one or more software applications configured to receive and analyze the data sent wireiessiy by the sensors.
• the methods, systems, and devices for collecting and analyzing movement data of an athlete or a combat athlete during an athletic activity by using ay least one three-dimensional accelerometer attached to the athlete, transmitting the data to a computing system, analyzing the data based on a set of predetermined parameters, comparing the athlete's performance of each parameter with a corresponding target value, and developing a training strategy or fight strategy for the athlete based on such comparison.
• a device with at least one three dimensional accelerometer and a wireless transmitter is attached to an athlete during an athletic activity.
• the device includes one or more force sensors or load ceils coupled to a wireless transmitter.
• the device includes one or more gyroscopes coupled to a wireless transmitter.
• the system uses a gyroscope and/or an accelerometer contained in a mobile phone.
• the device collects accurate data of the athlete's mo vement or performance and further transmits such collected data to a main computing system or a mobile device.
• the wireless transmitter utilizes the Bluetooth wireless standard to send the data to a mobile phone configured to receive such transmissions.
• Either the main computing system or the mobile device can analyze the collected data and generate a training strategy and/or fight strategy for the athlete.
• the device includes a computing device.
• the data is sent, received, and displayed and/or analyzed and/or recorded in real time. In this way, for example, others, an athletic trainer for instance, can observe the data in and provide training advice in real time as well.
• One or more sensors and wireless transmitters may be placed on various locations on the athlete or the athlete's equipment. Sensors and wireless transmitters may be placed, for example, on the athlete's hands, gloves, feet, feet wraps, knees, shoulders, head, headgear, waist line, or belts. In some embodiments, a sensor and/or wireless transmitter is placed on the athlete's inside palm or wrist. The sensors and/or wireless transmitters may be water and/or sweat resistant. The sensors and/or wireless transmitters may be shock resistant, in some embodiments, the sensors are disposed withi a housing configured to withstand the wear and tear of, for example, a workout, a sparring session or a fight. In other words, the housing can protect components of the device from water and/or impact damage.
• Portions of the device may have an ergonomic design.
• the ergonomic design may minimize any discomfort that may arise as a result of wearing or using the sensors.
• the housing of the sensors is color coded for right and left hands and feet.
• the housing may be inserted into a wrist or finger band configured to hold the housing in place, in some embodiments, the sensors are placed within a protective gear configured to hold the sensors while maintaining the function of the protective gear.
• the systems disclosed herein can be used to collect data that can be analyzed in order to track and identify the trajectory of a foot or hand strike.
• the system can be used to identify punches such as, for example, uppercuts, hooks, jabs, or crosses by monitoring and analyzing the movement of a user's hand.
• the system can be used to identify kicks such as, for example, front kicks, sidekicks, or roundhouses, by monitoring and analyzing the movement of a user's foot.
• the system can be used to identify the part of the hand or foot that has contacted the opponent.
• sensors can be used to identify if the front, back, top, or bottom of the fist made contact with the opponent.
• the system can be configured to detect if a strike contacted or missed an opponent or object such as a punching bag.
• the system detects if a strike contacted or missed an opponent or object by using a sensor placed within the object, punching bag, or within the protective gear of an opponent. In this way, the system may determine ratio or percentage of strikes that contacted in relation to the number of strikes thrown.
• the system may also be used to determine the strike speed and/or strike force.
• the system can be used to track the location of a fighter within the ring.
• the system can be used to identify combinations of strikes and analyze the success of such combinations.
• the system may, for example, analyze a combination of strikes thrown by the user and display how much power and speed that each component of the combination had and/or which portions of the combination landed on the opponent.
• a software application is used to provide a summary of the data obtamed during a training session and display the summary to the user.
• the data can be displayed in various forms, including for example, bar graph, pie chart, and spread sheet formats.
• the data can be sorted and displayed based on user input.
• the data is categorized by the corresponding hand or foot that generated the data. For example, a bar graph can be displayed showing the number of right hand strikes thrown and landed in comparison to the number of left hand strikes thrown and landed.
• the system includes a clock.
• components of the system may be time synchronized to data points from each sensor.
• the system can output strike and time data. In this way, a user may be able to know, for example, the time in the tight or sparring session when the user landed the most powerful strike, or attempted a certain combination, or lost strike speed.
• the system includes a video recorder.
• the video recorder may be time synced to the system.
• a user may watch a video of the fight while the data captured by the system is displayed and synchronized to the video.
• a display engine is configured to overlay and display data in the form of, for example, charts or graphs on the same screen in which the video is displayed.
• the system can be customized for a particular user.
• a user may provide the system with height and weight information.
• the user may provide the system with training goals or targets.
• the system can provide a means for tracking a user's progress toward said goals.
• the system can use height information to compare the location of a user's hands to the height of the user. In this way, the system may inform the user when their hands are too low.
• the device may output an audible noise when the system detects that a user's hands are too low relative to the height of the user.
• the system can provide output in the form of training or fight strategy.
• the system may identify a user's fight patterns and/or tendencies and/or identify a user's weaknesses.
• the system may, for example, inform the user that the user is dominate with a particular hand, that the user tends to miss with specific strikes, or that the user tends to rely on predictable strike combinations, in addition, the system may be able to identify which type of strikes and/or from what angle or trajectory an opponent lands most often on the user. Accordingly, the system may identify what a user may be susceptible to. Such information can be used by the system to output a fight strategy or training session.
• the system compares the trajectory of punches to previously thrown punches or to preselected and/or pre-programmed punch trajectories. In this way, a user can improve their punch trajectories and improve their form. For example, the system may identify how straight a punch is and provide feedback to the user. In other words, a user may desire to throw a straight punch along a substantially straight and horizontal line as opposed to a curved or looping path. As such, the system may analyze the punch trajectory and inform the user when the punch trajectory is within this desired range of motion. In some embodiments, the device may output an audible noise when a punch trajectory is within a desired range of motion.
• a user and/or a trainer can watch the fighter and identify when effective punches or punches with good form for the particular fighter are thrown. The trajectory of these punches may be identified and saved. Later, a user may use the system to compare the trajectory of a later punch to these saved trajectories.
• the system includes pre-programmed sample punch trajectories that a user may compare their punch and/or kick trajectories to,
• the system may store and/or archive data and/or video from, for example, specific fights.
• the system may utilize a cloud based storage system. Users may allow for others to access to the storage system to view the data and/or videos.
• the system may track and display, for example, a user's all-time best strikes or combinations.
• the system may be integrated with social media providers such as youtu.be ® , twitter*", or Facebook*. In this way, a user can seamlessly share fight data with others.
• the sharing of ight data is a subscription based service in which only subscribers may access and share tight data.
• the data obtained and/or analyzed by the system is associated with a user profile.
• the user profile may include one or more user avatars associated with the user profile.
• the user profile may comprise, for example, historical performance data, specific fight or sparring session data, performance summaries, comparisons to other user profiles, rankings, training histories, customizable statistical compilations and/or comparisons, progress towards goals, time of use, hours of training, number of uses, and/or achievements obtained.
• the user profile or portions thereof may be shared with other users. The sharing may include interacting with a social media provider.
• the user profile may be associated with a specific user name and password, in some embodiments, user data is stored in a cloud base storage system, in some embodiments, the user may control which data is shared w th which other users.
• the user profile may include a journal or a notes section where the user may input text that can be associated with a particular sparring or work out session.
• the system may allow users to review the user's pervious performance from a library of historical performances. In some embodiments, a user can review data and/or notes from particular training sessions individually.
• the access and/or stage of user profiles is subscription based.
• the system can incorporate advertising which may be targeted based at least in part on specific user information received.
• the advertising is location based advertising and/or includes coupons.
• the displa may include advertising elements or banner ads that target a particular user's fight skills and location.
• the system includes standard and/or customizable achievements.
• the system may provide a reward in response to reaching an achievement.
• the reward may be a virtual award.
• the reward may include additional system functionality that is made accessible to the user.
• a preset goal or custom goal such as, for example, spending 100 hrs of training timer or throws a 500 lbs punch
• the user unlocks the corresponding achievement.
• This achievement may be shared with others via a user network and/or social media providers.
• the system may allow for users to compete against one another and/or to challenge other users to virtual or real sparring sessions or fights.
• the system may allow for users to challenge each other to reach one or more achievements faster than the other.
• the system may also be able to identify users of similar skill levels and/or in close geographic proximity and suggest that the two users meet and/or spar.
• the system further comprises a gaming element.
• the gaming element may allow for two users to virtually compete against one another.
• the gaming element may use historical data for each user and simulate a fight between the two users.
• the gaming element may be able to predict a user's chance of success against another user.
• a user may have the ability to transfer user training data into an in- game virtual character, in some embodiments the attributes of the in-game virtual character are linked to the user, in this way, the attributes of the in-game virtual character can only be increased by a user improving their real life performance.
• FIG. 1 is a block diagram illustrating a high level overview of one embodiment of a system for collecting and analyzing movement data of an athlete.
• a device 1 16 is attached to boxing gloves on an athlete and is connected through a network 1 18 to a main computing system 102 and at least one mobile device 120.
• the network may take a conventional form including but not limited to virtual private network (VPN) connections over the internet, private network connections, dedicated network connections (for example, ISDN, Tl, etc), wireless or cellular connections, or the like.
• VPN virtual private network
• the network can be a wireless internet network, Bluetooth, a service provider's 3G or 4G network, or the like.
• the device 1 16 collects movement data of an athlete and then transmits the collected data over a network 1 18 to a main computing system 102. Then, in some embodiments, the main computing system 102 analyzes the received data and develops a fight strategy and/or a training strategy using a fight/training strategy development module 1 14. In certain embodiments, the main computing can then transmit the developed strategy or strategies to a mobile device 120, which further displays the strategy or strategies to the athlete or a user.
• the device 1 16 collects the athlete's movement data and transmits the collected data directly to a mobile device 120.
• the mobile device 120 analyzes the received data and develops a fight strategy and/or a training strategy using a fight/training strategy development module 1 14.
• the mobile device 120 displays the generated strategy or strategies to the athlete or user.
• the main computing system 102 takes the form as shown in FIG. 1 , which is a block diagram of one embodiment of a main computing system 102 that is in communication with one or more mobile devices 120 and a device 1 16 for collecting and transmitting movement data of an athlete over a network 1 18.
• the computing system 102 may be used to implement one or more of the systems and methods described herein.
• the computing system 102 may be configured to receive data collected by a device 1 16 attached to an athlete, analyze such data, and generate a training strategy and or fight strategy by comparing the collected data to a pre-stored set of target values and/or the athlete's own historical data.
• FIG. 1 illustrates one embodiment of a main computing system 102
• the functionality provided for in the components and modules of the main computing system 102 may be combined into fewer components and modules or further separated into additional components and modules.
• the main computing system 102 also comprises a mainframe computer or other computing system or device suitable for controlling and/or communicating with large databases, performing high volume transaction processing, and generating reports from large databases.
• the main computing system 102 also comprises a central processing unit (“CPU") 1 10, which may comprise a conventional microprocessor.
• the computing system 102 further comprises a memory 1 12, such as random access memory (“RAM”) for temporary storage of information and/or a read only memory (“ROM”) for permanent storage of information, and a mass storage device 104, such as a hard drive, diskette, or optical media storage device.
• the modules of the main computing system 102 are connected to the computer using a standards based bus system.
• the standards based bus system could be Peripheral Component interconnect (“PCI”), MicroChannel, SCSI, Industrial Standard Architecture (“ISA”) and Extended ISA (“EISA”) architectures, for example.
• PCI Peripheral Component interconnect
• ISA Industrial Standard Architecture
• EISA Extended ISA
• the exemplary main computing system 102 comprises one or more commonly available input/output (“I/O") devices and interfaces 108, such as a keyboard, mouse, touchpad, and printer.
• the I/O devices and interfaces 108 comprise one or more display devices, such as a monitor, that allows the visual presentation of data to a user. More particularly, a display device provides for the presentation of GUIs, application software data, and multimedia presentations, for example, in the embodiment of FIG. 1 , the I/O devices and interfaces 108 also provide a communications interface to various external devices.
• the computing system 102 may also comprise one or more multimedia devices 106, such as speakers, video cards, graphics accelerators, and microphones, for example.
• the main computing system 102 may run on a variety of computing devices, such as, for example, a server, a Windows server, an Structure Query Language server, a Unix server, a personal computer, a mainframe computer, a laptop computer, a cell phone, a personal digital assistant, a kiosk, an audio player, and so forth.
• the main computing system 1 02 is generally controlled and coordinated by operating system software, such as z/OS, Windows 95, Windows 98, Windows NT, Windows 2000, Windows XP, Windows Vista, Linux, BSD, SunOS, Solaris, or other compatible operating systems.
• the operating system may be any available operating system, such as MAC OS X, In other embodiments, the main computing system 102 may be controlled by a proprietary operating system. Conventional operating systems control and schedule computer processes for execution, perform memory management, provide file system, networking, and I/O services, and provide a user interface, such as a graphical user interface ("GUI”), among other things.
• GUI graphical user interface
• the main computing system 102 is coupled to a network 1 18, such as a LAN, WAN, or the Internet, for example, via a wired, wireless, or combination of wired and wireless, communication link.
• the network 1 18 communicates with various computing devices and/or other electronic devices via wired or wireless communication links.
• the network 1 18 is communicating with one or more main computing systems 1 18, one or more mobile devices 120, and one or more devices 1 16 for collecting and transmitting movement data of athletes.
• Access to the generated training strategy, fight strategy, and/or other strategies may be through a web-enabled user access point via the main computing systems(s) 102 or one or more mobile devices 120.
• Mobile devices 120 includes but is not limited to a personal computer, cellular phone, laptop, tablet device, or other device capable of connecting to the network 1 18.
• Such a device may have a browser module is implemented as a module that uses text, graphics, audio, video, and other media to present data and to allow interaction with data via the network 1 18. in certain embodiments, a specially written computer program or webpage can be utilized in connection with such a device.
• the browser module may be implemented as a combination of an all points addressable display such as a cathode-ray tube (CRT), a liquid crystal display (LCD), a plasma display, or other types and/or combinations of displays.
• the browser module may be implemented to communicate with input devices 108 and may also comprise software with the appropriate interfaces which allow a user to access data through the use of stylized screen el ements such as, for example, menus, windows, dialog boxes, toolbars, and controls (for example, radio buttons, check boxes, sliding scales, and so forth).
• the browser module may communicate with a set of input and output devices to receive signals from the user.
• the input device(s) may comprise a keyboard, roller ball, pen and stylus, mouse, trackball, voice recognition system, or pre-designated switches or buttons.
• the output device(s) may comprise a speaker, a display screen, a printer, or a voice synthesizer.
• a touch screen may act as a hybrid input/output device.
• a user may interact with the system more directly such as through a system terminal connected to the score generator without communications over the Internet, a WAN, or LAN, or similar network.
• the computer system 102 may comprise a physical or logical connection established between a remote microprocessor and a mainframe host computer for the express purpose of uploading, downloading, or viewing interactive data and databases on-line in real time.
• the remote microprocessor may be operated by an entity operating the computer system 102.
• terminal emulation software may be used on the microprocessor for participating in the micro-mainframe link.
• a mobile device comprises a personal computer, a laptop computer, a cellular phone, a GPS system, a BlackberryCf) device, a portable computing device, a tablet computing device, a server, a computer workstation, a local area network of individual computers, an interactive kiosk, a personal digital assistant, an interactive wireless communications device, a handheld computer, an embedded computing device, or the like.
• the network 118 may communicate with other data sources or other computing devices.
• the computing system 102 may also comprise one or more internal and/or external data sources.
• one or more of the data repositories and the data sources may be implemented using a relational database, such as DB2, Sybase, Oracle, CodeBase and Microsoft® SQL Server as well as other types of databases such as, for example, a flat file database, an entity-relationship database, and object-oriented database, and/or a record-based database.
• Cloud computing can include web-based tools or applications that users can access and use through a web browser as if it were a program installed locally on their own computer.
• the cloud 1 180 comprises various computers, servers and data storage devices that function to provide a cloud platform (e.g., a web front end), cloud service (e.g., a queue), cloud infrastructure, and cloud storage (e.g., one or more databases).
• a public/external cloud can be used with a private cloud 1190 in a hybrid cloud or a combined cloud environment in certain embodiments,
• a mobile or fixed computing device 1 1 10 may be operated by a user 1 130. There may be other mobile or fixed computing devices such as a device 1 170 operated by other users.
• the computing device 1 1 10 can be a handheld computing device or other portable computing device such as a Palm, Pocket personal computer (PC), Linux based handheld, PDA, smartphone such as an iPhone®, Tablet computer such as an iPad®, or PC having a display.
• the computing device can be any form of Internet connected device, including but not limited to PCs, mobile devices, PDA, laptops, tablets, chips, keyboards, voice audio and video software, mouse, keypads, touch pads, track ball, microphones, videos, storage devices, network devices, databases, scanners, copiers, digital pens, image recognition software and device, screens and other forms of displays, netbooks and other forms of computer hardware.
• the computing device 1110 in certain embodiments operates in a stand-alone (independent) manner.
• the computing device 1 1 10 is in communicatio with one or more servers via a network, such as a wide area network or the internet.
• the server(s) include one or processors, memory, one or more data storages and system software executed by the processors), and input or output devices.
• the computing device 1 1 10 includes a processor 1 1 12, memory 1 12.2, a display 1 1 14, and one or more input devices 1 1 16, The processor 11 12. is in data communication with one or more data storages 1 1 18.
• the data storage 1 1 18 may store prior records of the user and/or other data or software.
• System software 1 120 is executed by the processor 1 1 12.
• the system software 1 120 may include an application graphical user interface (GUI).
• GUI graphical user interface
• the application GUI can include a database interface to the data storage 1 1 18 of the computing device.
• the software is loaded from the data storage 1 18.
• One or more of the data storages may be located external to the computing device 1 1 10.
• the processor utilizes browser software in place of or in addition to the software 1 120
• the network browser may be, for example, Microsoft Internet Explorer®, Apple Safari®, Mozilla Firefox®, Google ChromeTM, browsers from Opera SoftwareTM, and so forth.
• An optional output device 1 129, such as a printer is connected to the computing device 1 1 10.
• the connection from the computing device 1 1 10 to the cloud 1180 can be a wireless or a satellite connection 1 144 or a direct connection 1 142.
• One or more sensors 1 150 can record movement and/or force data and transmit the data wirelessly to the computing device 1 1 10.
• FIG. 3 a schematic perspective view of system for collecting and analyzing movement data of at least one combat athlete is illustrated.
• two fighters are equipped with protective gear comprising headgear, fighting gloves, and footgear.
• One or more sensors may be placed on or within the headgear 352, on or within left and/or right gloves 356, 354 and/or on or within left and/or right footgear 362, 360.
• the sensors may comprise one dimensional accelerometers, two dimensional accelerometers, three dimensional accelerometers, motion sensors, and/or force sensors.
• the accelerometers may be configured to detect rapid acceleration and/or deceleration.
• the sensors may continuously stream data to a computer 384 or mobile device 380.
• the computer 384 is coupled to a digital video recorder 382.
• the mobile device 380 includes a digital video recorder.
• a fighting mat 390 may also include one or more force sensors (not shown) that may collect impact data and send the data to one or more computing devices. The sensors in the mat 390 may be coupled to a wireless transmitter.
• the computer 384 or mobile device 380 may be configured or may include software applications configured to analyze the data received by the sensors. Data received in comparison to threshold values may at least in part be used by the system to identify specific movements of a user. The data may be used to identify events, such as for example, a punch thrown, a kick thrown, a punch landed, a kick landed, a combination of strikes thrown, or a combination of strikes landed, and corresponding times and durations of such events.
• the computer 384 or mobile device 380 may include one or more threshold values that the data is compared to. For example, threshold values may comprise speed in a certain direction, acceleration in a certain direction, device orientation, force in a certain direction, average speed, total acceleration, and/or total force.
• a device for collecting and/or transmitting movement data of an athlete takes the form as shown in FIGS, 4A-4C and 5A-5B.
• the device 200 comprises an outer shell or cover 2.04 that can cover substantially all of the inner housing 202.
• the outer shell or cover 204 is made of a material to provide comfort to a user or athlete while using the device 200.
• the outer layer 204 can take the form of a cushion or sponge.
• the outer layer shell 204 can be made from a number of materials, including silicon, sponge, polyester, polyurethane, foam, and polystyrene, among others.
• the outer layer 2.04 is configured to be waterproof or water resistant.
• the outer layer shell 204 is configured to absorb shock or force exerted thereupon.
• the outer layer shell 204 can be made from a number of materials, including silicon, sponge, polyester, polyurethane. foam, and polystyrene, among others for such purposes as well.
• the outer layer shell 204 can be designed to absorb sufficient force to protect the device housing 202 and its components.
• the outer layer shell 204 can be designed to absorb sufficient force to protect the user or athlete.
• the inner device housing 202 contains and protects components necessary for collecting and transmitting movement data of an athlete.
• the device housing 202 is made from a shock resistant or shock absorbing material to protect the components therein.
• the device housing 202 is made from a shock absorbing material to protect the user or athlete.
• the outer layer cover 204, the device housing 202, or both are economically designed to provide comfort to the athlete or user while using the device.
• the outer layer cover 204, the device housing 202, or both are ergonomically designed such that an athlete can comfortably hold the deyice 200 in his or her hand.
• the outer layer cover 204, the device housing 202, or both are ergonomically designed such that the device 200 can comfortably be placed inside, outside, or near the athlete's wrist without substantially restricting the athlete's movement.
• the housing 202 may include one or more grooves shaped receive the fingers of a user.
• the outer layer cover 204, the device housing 202, or both are ergonomically designed such that the device 2.00 can comfortably be placed on the legs or on the feet of an athlete without substantially restricting the athlete's movement,
• the outer layer cover 204, the device housing 202, or both are designed such that it can further act as a safety device for the athlete.
• the device 200 can be held inside the fists of a mixed martial arts fighter.
• the outer layer cover 204, the device housing 202, or both are ergonomically designed, there is a less chance that the mixed martial arts fighter will break his or her fingers if the fighter is holding onto the device 200.
• the outer layer cover 204, the device housing 202, or both can be designed such that the device 200 further acts as a shield to dampen impact.
• Devices 200 of other embodiments where the device 200 is configured to be attached to the legs or feet of an athlete can also be designed to further act as a shield to dampen impact as well.
• the housing 202 further comprises a three-dimensional accelerometer 210 and a transmitter 216 located within the housing.
• the accelerometer 210 can be of any type or model generally available for sale to the public either now or in the future.
• the three dimensional accelerometer 210 measures and collects data related to the user's movement.
• the three dimensional accelerometer 210 traces the movement of the user to allow collection of data such as the direction of movement, speed, acceleration, impact, force, and movement path, among others.
• the three dimensional accelerometer 210 is configured to continuously collect and/or transmit data in real time.
• the housing 202 farther includes a power source 212.
• the power source 212 can be a battery, a rechargeable battery, or any other type of power source available now or in the future.
• the power source 212 is easily removable from the housing 202 for replacement or recharging via a lid.
• the device farther includes a gyroscope 214 to detect the orientation of the device.
• the power source 202 is not easily removable but the housing 202 includes a mechanism for recharging the power source without removing the power source 212.
• data measured and collected by the three dimensional accelerometer 210 is subsequently transmitted by a transmitter 216 over a network 118.
• the transmitter 216 is configured to transmit the collected data to one or more main computing systems 102 or one or more mobile devices 120.
• the transmitter 216 is configured to continuously transmit collected data.
• the transmitter 216 is configured to transmit data in batches per a preset period of time,
• the device 200 further includes an on/off switch (not shown) to turn the data collection device 200 on or off.
• the on/off switch is in a form of a button located on the device 200.
• the device 200 comprises a force detector (not shown) and turns on when a certain amount of pressure is exerted on the device 200.
• the device 200 is configured to turn on and off when a preset movement is detected by the device 200.
• the device 200 is attached to the athlete to accurately detect an athlete's movements.
• the device 200 can be attached to the athlete in a number of locations depending on the athletic activity and the preference of the athlete.
• the device 200 is held within an athlete's bare hands as shown in FIGS. 5A-5B.
• Devices 200 designed to be held within an athlete's bare hands can virtually be used for any type of athletic activity that does not require the athlete's hands to be free.
• the device 200 can be placed on the inside, outside, or around the wrists of an athlete, in some embodiments, the device housing can be placed on the inside, outside, or around the ankles of an athlete.
• the device 200 can be ergonomically designed to match the shape of the inside of a fist.
• the device 200 can be personalized to match the exact shape of the inside of a specific user's fist, in these embodiments, the housing 202, the outer layer 204, or both can be ergonomically designed.
• the device 200 can be placed within or on the athlete's clothing and/or sports gear.
• the device 200 can be embedded within an athlete's clothing and/or sports gear.
• sports gear can include boxing gloves, MMA gloves, shin guards, headgear, or any other spo ts gear.
• the device 200 can be configured to be attached to a boxing glove 400.
• the device 200 can be configured to be attached to various locations within or on a boxing glove 400 as shown in FIGS. 6A and 6C-6F.
• the device 200 can be configured to be held by the athlete's bare hand while wearing a boxing glove 400.
• the device 200 can be ergonomically designed to match the shape of the inside of a fist. Further, the device 200 may be designed to protect the athlete from breaking or otherwise injuring the athlete's fingers.
• the device 200 can be configured to be held or attached to the palm side of a boxing glove 400.
• the device 200 can be ergonomically designed to match the general shape of the palm side of a boxing glove 400. Further the device 200 may be designed to protect the athlete from breaking or otherwise injuring the athlete's fingers or hand.
• the device 200 can be configured to be attached to the outer wrist portion of a boxing glove 400, In such embodiments, the device can be ergonomically designed to match the outer wrist surface of a boxing glove 400, Further, the device 200 can be designed to protect the athlete from breaking or otherwise injuring the athlete's wrists.
• the device 200 can be configured to be attached to the inner wrist portion of a boxing glove 400. in such embodiments, the device can be ergonomically designed to match the inner wrist surface of a boxing glove 400. Further, the device 200 can be designed to protect the athlete from breaking or otherwise injuring the athlete's wrists.
• the device 200 can be configured to be attached to the inside of a boxing glove 400 underneath the glove's laces or strap, if any.
• the device can be ergonomically designed to match the inner surface of a boxing glove 400 near the laces or the athlete's lower palm. Further, the device 200 can be designed to protect the athlete from breaking or otherwise injuring the athlete's wrists.
• the device 200 can be configured for use in conjunction with open or closed finger mixed martial arts gloves 500.
• the device 200 can be configured to be held inside an athlete's bare hand while wearing a mixed martial arts glove 500.
• the device 200 can be ergonomically designed to match the shape of the inside of a fist. Further, the device 200 may be designed to protect the athlete from breaking or otherwise injuring the athlete's fingers.
• the device 200 may be disposed on an external surface of the mixed martial arts glove 500 or may be embedded within the mixed martial arts glove 500. As shown, the device 200 is disposed on the external surface of the wrist area of the mixed martial arts glove 500. In this way, the device 200 may be less susceptible to damage from, for example, impacts. In other embodiments, the one or more devices may be embedded within the mixed martial arts glove 500. Embedding the device within the mixed martial arts glove 500 may further protect the device from, for example, impact damage.
• a mixed martial arts glove 880 may include a plurality of devices 200 for collecting and transmitting movement data.
• the mixed martial arts glove 880 may include a device 200 embedded within the right side wall of the glove 880.
• the left side wall of the glove 880 may also include an embedded device 200.
• the glove 880 may also include an embedded device 200 within the thumb portion 882 of the glove 880.
• the glove may further include a device 200 that includes an accelerometer and/or impact sensor embedded within the fist portion 884 of the glove 880 (not shown).
• FIG. 8A the mixed martial arts glove 880 may include a plurality of devices 200 for collecting and transmitting movement data.
• the mixed martial arts glove 880 may include a device 200 embedded within the right side wall of the glove 880.
• the left side wall of the glove 880 may also include an embedded device 200.
• the glove 880 may also include an embedded device 200 within the thumb portion 882 of the glove 880.
• the glove may further include a device 200 that includes an accelerometer and/
• a device 200 may be secured within the area between the thumb portion 882 and the fist portion 884 by, for example, a clip 890.
• a clip 890 it may be advantageous to position the devices 200 in portions of a glove that are less susceptible to impact damage and/or in portions of a glove that may be less likely to interfere with or distract a user when wearing the glove.
• FIGS. 9A-9B illustrate that in some embodiments, the system includes one or more devices for collecting and transmitting movement data 955 located in headgear 950 to be worn by a user.
• headgear 950 may be used by combat athletes while training or sparring.
• the devices for collecting and transmitting movement data 955 may comprise one or aspects of the sensors shown and described above.
• the devices for collecting and transmitting movement data 955 may include accelerometers or load cells and may be configured to continually obtain and send data wireless!y.
• the devices 955 may be positioned on any suitable area on or embedded within the headgear 950.
• the devices 955 are placed on one or more external surfaces of the headgear 950.
• the devices 955 are placed in areas where they are unlikely to be contacted during combat activity, for example, on an external surface at the rear of the headgear as shown in FIG, 9B.
• the system includes one or more devices for collecting and transmitting movement data 955 located in protective shin guards 980 to be worn by a user.
• the devices 955 may be embedded within the shin guards 980 or be attached to the straps 982 used to secure the shin guards 980 to the feet and legs of the user.
• protective equipment worn by users may include one or more compartments configured to house one or more devices for collecting and transmitting movement data 955.
• the compartments may include a cover configured to open and close.
• a portion of the protective equipment 990 may include a receiving space 998 and a cover 995 disposed over the receiving space 998.
• the cover 998 may include a movable flap portion 999 that may move from a closed position to an open position.
• the padding or cushioning of the protective equipment 990 may further protect the device and/or sensors within the device from, for example, impact and/or moisture damage.
• the system may include a glove configured to receive a mobile phone 1200.
• the glove 1206 may include a housing or a receiving space 1205 configured to receive a mobile telephone 1201.
• the housing or receiving space 1205 configured to receive a mobile telephone 1201 may comprise a pouch, sleeve, enclosure, clip, or other means for securing the mobile telephone to the glove.
• the mobile phone can slide into and out of the housing 1205.
• the housing 1205 includes a strap that secures the mobile phone to the glove.
• the housing 1205 may be made of any suitable materials, such as, plastic, cloth, or synthetic fibers.
• the glove 1206 may include an abutment surface 1220.
• the abutment surface 1220 may be formed by one or more pads or cushioning components located within the finger portion of the glove 1206, In this way, the abutment 1220 surface can help prevent the mobile telephone 1201 from exiting the glove 1206 when a strike is thrown.
• the mobile telephone 1201 may be further secured to the glove 1206 with a strap 12.03 configured to fold oyer or otherwise couple to and secure the mobile phone 1201 to the glove.
• FIG. 13A illustrates a glove configured to receive a mobile phone 1200 with the strap 1203 in the open position and a mobile phone 1201 removed from the receiving space 1205.
• Velcro 1204 may be used to keep the strap 12.03 in the closed position.
• FIG. 13B illustrates a schematic view of components located within the glove configured to receive a mobile phone 1200.
• the glove 1206 may include an impact sensor 1210 positioned in the finger pad area of the glove, a three dimensional accelerometer 12.12, a computing system 1214, one or more batteries 1218, and a connector 1216 configured to connect to the mobile phone 1201. While FIG, 13B illustrates the components coupled with wiring, the components may be coupled wirelessly. In addition, not all of the components are necessary and the glove 1200 may not include each component that is shown in FIG. 13B.
• the battery 1218 may power one or more of the components.
• the batteries may be rechargeable batteries.
• the mobile telephone 1201 may include one or more gyroscopes and/or one or more accelerometers.
• the mobile telephone is an iPhone®.
• the glove includes a wired connection with a port configured to connect to an iPhone®. Tn other embodiments, the glove does not include a wired connection and the mobile phone receives data from the sensor(s) and/or computing system wirelessly.
• the mobile phone 1201 may be coupled to the connector 1216 and secured to the glove with the receiving space and/or strap 1203.
• the mobile phone 1201 is connected to one or more sensors and/or a separate computing system.
• the computing system 1214 may receive electronic signals representative of the impact force when the glove strikes a target from the impact sensor 1210,
• the computing system 1214 may receive electronic signals representative of the three dimensional acceleration of the glove when the glove is in motion from the aecelerometer 1212.
• the computing 1214 system may receive electronic signals representative of the orientation and/or acceleration of the mobile phone 1201.
• the computing system 1214 and/or the mobile phone 1201 may then analyze the received signals. By including a computing system 1214 within the glove, less computing power is required from the mobile phone 1201 .
• the computing system 1214 is not required and the mobile phone 1201 may process all of the data received from the sensor(s) directly.
• the mobile phone 1201 may output audible sounds in response to certain data that is received.
• the mobile phone 1201 may display a summary of the data received and/or may display training results, strategies, and/or recommendations.
• the placement of the device 200 on the athlete as well as the design of the device 200 can vary depending on the sport or the athletic activity that the device 200 is to collect data of.
• the device 200 can be utilized to collect movement data of an athlete performing boxing, kick boxing, mixed martial arts, Muay Thai, Jiu Jiisu, San Sau, Taekwondo, Karate, Rung Fu. or some other form of martial art.
• the device 200 can be utilized to collect movement data of a sport where proper form is important such as golf, tennis, badminton, gymnastics, figure skating, bowling, table tennis, and squash among others.
• the device 200 can be utilized to collect movement data of an athlete playing soccer, basketball, football, baseball, rugby, track and field, and crew among others.
• the device 200 tracks movement of the athlete during an athletic activity and transmits the collected data to at least one main computing system 102. in other embodiments, the device 200 tracks movement of the athlete during an athletic activity and transmits the collected data to at least one mobile device 120, General Data Analysis
• the at least one main computing system 102 receives the data collected by the device 200 for further analysis.
• the at least one mobile device 120 receives the data collected by the device 200 for further analysis.
• either the main computing system 102 or the mobile device 120 classifies the received data by each type of punch or kick.
• the computing system 102 or the mobile device 120 sorts the data based on which sensor the data was obtained from.
• the received data can be separated by the type of boxing punch, including left or right-handed jabs, straights, hooks, and uppercuts.
• the received data can be separated by the type of kick, including a front kick, side kick, semi- circular kick, roundhouse kick, hook kick, crescent kick, axe kick, back kick, and sweeping.
• the received data can be separated by particular type of other movements, such as a straight knee thrust, raising knee strike, hooking knee strike, and side knee snap strike.
• the data is further analyzed to determine each movement's speed, force, trajectory, total number, number per time, acceleration, and order, among others. In some embodiments, these parameters can include a subset of those listed or may include others not listed. In certain embodiments, the user or athlete can select or define parameters to be analyzed before using the device. In some embodiments, this data is further analyzed to determine strike combinations.
• each parameter can be compared to a target value.
• the target value is preselected by the user or athlete.
• the target value is automatically selected by the main computing system 102 or mobile device 120 according to factors such as age, gender, weight, experience, and rank of the athlete.
• the target value is historical data of the same user or athlete.
• the target value is data of a competitor or other user's movements.
• FIG. 14 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete from different periods of time to develop a training strategy based on the improvement of certain skills of the athlete.
• the accelerometer 212 within the device 200 collects movement data of the athlete over a period of time. Then, in some embodiments where the main computing system 102. is configured to receive and analyze the collected data, the data collected by the accelerometer 212 is transmitted to the main computing system 102 at block 604. In other embodiments where the mobile device 120 is configured to receive and analyze the collected data, the data collected by the accelerometer 212 is transmitted to the mobile device 120 at block 606.
• the transmitted data is then separated or classified by each type of punch, kick, or other movement performed by the athlete while data was collected by the accelerometer 210.
• the main computing system 102 or mobile device 120 selects one type of punch, kick, or other movement for further analysis.
• the main computing system 102 or mobile device 120 analyzes data for each type of movement according to predetermined parameters.
• Such parameters can include, in some embodiments, speed, force, trajectory, total number, number per time, acceleration, and order, among others.
• such further analysis according to predetermined parameters can be conducted at certain intervals of time to create a database of historical data. For example, at blocks 612, 614, and 616, the main computing system 102 or mobile device 120 can determine the average speed, force, and trajectory respectively of a single type of movement from one data collection period. Then, after a second data collection period, at blocks 618, 620, and 622, the main computing system 102 or mobile device 120 can again determine the average speed, force, and trajectory respectively of the same type of movement from the second data collection period. Similarly, after a third data collection period, at blocks 624, 626, and 628, the main computing system 102 or mobile device 120 can determine the average speed, force, and trajectory respectively of the same type of movement from the third data collection period.
• the main computing system 102 or mobile device 120 can compare current data with the historical data at block 630. This process from block 610 to block 630 can be repeated in some embodiments for different types of movements performed by the athlete.
• the main computing system 102 or mobile device 120 develops a training strategy based on the comparison of current data to historical data of each movement of the athlete at block 632.
• the training strategy will focus on tasks designed to improve the athlete's second type of punch, kick, or movement.
• the training strategy will focus on tasks designed to improve the second parameter. For example, if the athlete's right-hand straight punches have improved in speed while the athlete's swing trajectory has become worse, then the main computing system 102 or mobile device 120 will select a strategy designed to improve the athlete's straight punch trajectory.
• an overall training strategy report is generated.
• such report is a combination of all the selected tasks.
• the report is a combination of all the selected tasks ordered in a way to maximize results.
• the main computing system 102 then transmits the report to the mobile device 120 at block 636. This step is omitted in embodiments where the mobile device 120 has analyzed the data and generated the report. Then, the training strategy report is displayed to the athlete or user at block 638. Training Strategy Based On Target Values
• FIG. 15 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete to develop a training strategy by comparing the collected data with preset target values of certain skills.
• the accelerometer 212 within the device 200 collects movement data of the athlete over a period of time. Then, in some embodiments where the main computing system 1 2 is configured to receive and analyze the collected data, the data collected by the accelerometer 212 is transmitted to the main computing system 102 at block 704. In other embodiments where the mobile device 120 is configured to receive and analyze the collected data, the data collected by the accelerometer 212 is transmitted to the mobile device 120 at block 704.
• the transmitted data is then separated or classified by each type of punch, kick, or other movement performed by the athlete while data was collected by the accelerometer 210. Once the collected data is categorized by type of movement, then at block 710, the main computing system 102 or mobile device 120 selects one type of punch, kick, or other movement for further analysis.
• the main computing system 102 or mobile device 120 analyzes data for each type of movement according to predetermined parameters.
• Such parameters can include, in some embodiments, speed, force, trajectory, total number, number per time, acceleration, and order, among others.
• the main computing system 1 02 or mobile device 120 determines the average speed for one type of punch, kick, or other movement at block 71 2. Then, in some embodiments, the average speed is compared to a pre-stored target value of speed at block 714. in some embodiments, if the determined average speed is higher or the same as the target value, then the main computing system 1 02 or mobile device 120 selects an appropriate training method for maintaining speed of that punch, kick, or other movement at block 716. in certain embodiments, if the determined average speed is lower than the target value, then the main computing system 102 or mobile device 120 selects an appropriate training method for improving speed of that punch, kick, or other movement at block 718.
• the main computing system 102 or mobile device 120 determines the average trajectory for one type of punch, kick, or other movement at block 720. Then, in some embodiments, the average trajectory is compared to a pre-stored model trajectory at block 722, in some embodiments, if the similarity of the determined average trajectory is higher or the same as a target similarity value to the model trajectory, then the main computing system 102 or mobile device 120 selects an appropriate training method for maintaining trajectory of that punch, kick, or other movement at block 724.
• the main computing system 102 or mobile deyice 120 selects an appropriate training method for improving trajectory of that punch, kick, or other movement at block 726,
• the main computing system 102 or mobile device 120 determines the average force for one type of punch, kick, or other movement at block 728, Then, in some embodiments, the average force is compared to a pre-stored target value of feree at block 730. In some embodiments, if the determined average force is higher or the same as the target value, then the main computing system 102 or mobile device 120 selects an appropriate training method for maintaining force of that punch, kick, or other movement at block 732. In certain embodiments, if the determined average force is lower than the target value, then the main computing system 102 or mobile device 120 selects an appropriate training method for improving force of that punch, kick, or other movement at block 734.
• the main computing system 102 or mobile device 120 determines the total number of one type of punch, kick, or other movement performed per time at block 736. Then, in some embodiments, the total number per time is compared to a pre-stored target value of total number per time at block 738. In some embodiments, if the determined total number per time is higher or the same as the target value, then the main computing system 102 or mobile device 120 selects an appropriate training method for maintaining the total number per time of that punch, kick, or other movement at block 740.
• the main computing system 102 or mobile device 120 selects an appropriate training method for improving the total number per time of that punch, kick, or other movement at block 742.
• the order of analysis of the parameters discussed above may vary, in certain embodiments, the main computing system 102 or mobile device 120 is configured to analyze a subset of these parameters discussed above or may analyze other parameters for analyzing an athlete's movement not discussed herein.
• the main computing system 102. or mobile device 120 combines the selected training strategies for a kick, punch, or other movement at block 744. This process from block 71 to block 744 can be repeated in some embodiments as many times as necessary to analyze different types of punches, kicks, or other movements performed by the athlete.
• the main computing system 102 or mobile device 120 combines all selected strategies for all types of punches, kicks, and other movements at block 746.
• the main computing system 102 or mobile device 120 can then, in certain embodiments, use the combined strategies to develop a training strategy at block 748,
• such report is a combination of all the selected training strategies.
• the report is a combination of all the selected training strategies ordered in a way to maximize results,
• the main computing system 102 then transmits the report to the mobile device 120 at block 750. This step is omitted in embodiments where the mobile device 120 has analyzed the data and generated the report. Then, the training strategy report is displayed to the athlete or user at block 752.
• certain steps or methods of an embodiment of a method of collecting and analyzing movement data of an athlete to develop a training strategy by comparing the collected data with preset target values of certain skills as shown in FIG. 15 can be combined with certain steps or methods of an embodiment of a method of collecting and analyzing movement data of an athlete from different periods of time to develop a training strategy based on the improvement of the athlete of certain skills as shown in FIG. 14.
• the system compares movement data of the athlete or user to preset target values and develops a fight strategy based on the athlete or user's punches, kicks, or other movements closest to preset target values.
• FIG. 16 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete to develop a fight strategy by comparing the collected data with target values of certain skills and building a fight strategy based on the highest scoring skills.
• the accelerometer 212 within the device 200 collects movement data of the athlete over a period of time. Then, in some embodiments where the main computing system 102 is configured to receive and analyze the collected data, the data collected by the accelerometer 212 is transmitted to the main computing system 102 at block 804. In other embodiments where the mobile device 120 is configured to receive and analyze the collected data, the data collected by the accelerometer 212 is transmitted to the mobile device 120 at block 806.
• the transmitted data is then separated or classified by each type of punch, kick, or other movement performed by the athlete while data was collected by the accelerometer 210. Once the collected data is categorized by type of movement, then at block 810, the main computing system 102 or mobile device 120 selects one type of punch, kick, or other movement for further analysis.
• the main computing system 102. or mobile device 120 analyzes data for each type of movement according to predetermined parameters.
• Such parameters can include, in some embodiments, speed, force, trajectory, total number, number per time, acceleration, and order, among others.
• the main computing system 102 or mobile device 120 determines the average speed for one type of punch, kick, or other movement at block 812. Then, in some embodiments, the average speed is compared to a pre-stored target value of speed at block 814 to determine how close the average speed is to the preset target value.
• the main computing system 102 or mobile device 120 determines the average trajectory for one type of punch, kick, or other movement at block 816. Then, in some embodiments, the average trajectory is compared to a pre-stored model trajectory at block 81 8 to determine how close the average trajectory is to the preset model trajectory.
• the main computing system 102 or mobile device 120 determines the average force for one type of punch, kick, or other movement at block 820. Then, in some embodiments, the average force is compared to a pre-stored target value of force at block 822 to determine bow close the average force is to the preset target value.
• the main computing system 102 or mobile device 120 then combines the scores determined for each parameter of one type of punch, kick, or other movement at block 824 to determine an overall score for that punch, kick, or other movement. This process from block 810 to block 824 can be repeated in some embodiments as many times as necessary to analyze different types of punches, kicks, or other movements performed by the athlete.
• the order of analysis of the parameters discussed above may vary.
• the main computing system 102 or mobile device 120 is configured to analyze a subset of these parameters discussed above or may analyze other parameters for analyzing an athlete's movement not discussed herein.
• the main computing system 102. or mobile device 120 determines whether any punches, kicks, or other movements detected have an overall score above a certain preset target value at block 826. If none of the detected punches, kicks, or movements meets the preset threshold target value, then the main computing system 102 or mobile device 120 in some embodiments will automatically go into a training mode at block 828.
• One embodiment of such training mode is depicted in FIG. 16.
• the main computing system 102 or mobile device 120 in some embodiments will develop a fight strategy at block 830 using those punches, kicks, or other movements. In certain embodiments, the main computing system 102 or mobile device 120 will combine these punches, kicks, and other movements according to a pre-stored algorithm or method to maximize effects of the light strategy. In some embodiments, the main computing system 102 or mobile device 120 can build more than one fight strategy at block 830.
• a fight strategy report is generated at block 832.
• the main computing system 102 transmits the report to the mobile device 120 at block 834. This step is omitted in embodiments where the mobile device 120 has analyzed the data and generated the report.
• the training strategy report is displayed to the athlete or user at block 836.
• certain steps or methods of an embodiment of a method of collecting and analyzing movement data to generate a fight strategy as shown in FIG. 16 can be combined with certain steps or method of an embodiment of a method of collecting and analyzing movement data of an athlete to generate a training strategy as shown in FIG. 15 or FIG. 14.
• the system compares movement data of the athlete or user to preset target trajectories or previous trajectories selected as target trajectories thrown by a user and determines if the movements are substantially similar to or are close to or the same as the target trajectory.
• FIG. 17 is a block diagram depicting an overview of one embodiment of a method of collecting and analyzing movement data of an athlete to develop a fight strategy by comparing the collected data with target trajectories,
• a user may select one or more model strike trajectories.
• a user selects a model trajectory for a strike or a combination of strikes.
• the user selects a preset trajectory stored in the system memory.
• the user selects a trajectory that the user performed previously and stored.
• the model trajectory may be associated with a user profile.
• the system displays a model trajectory and receives a selection from the user.
• an accelerometer or other sensor may collect movement data of the athlete over a period of time.
• the data is transmitted to a computing system as block 1706.
• the computing system may include a mobile phone.
• the system can determine the trajectory of the strike or trajectories of a combination of strikes at block 1708. The system can then compare the strike trajectory or trajectories of a combination of strikes to the pre-selected model trajectory at block 1710 to determine how close the trajectory is to the model trajectory.
• a fight strategy report is generated at block 1712.
• the fight strategy report can be displayed to the athlete or user at block 1714.
• the fight strategy report may include, for example, a summary of how many strikes thrown matched or closely matched the model trajectory.
• the fight strategy report may provide advice to the user by displaying certain visual prompts or recommendation or by recommending that the user watch a certain training video, perform certain physical exercises, or set a goal for improvement based at least in pari on the results of the training session.
• the system determines if a particular strike matches and/or closes matches a model trajectory in real time. If the strike matches and/or closes matches a model trajectory, the system can output a preset audible sound that represents a successful trajectory at block 1722, If the strike does not match or compare favorably to the model trajectory, the system can output a second preset audible sound that represents an unsuccessful trajectory at block 1724.
• certain steps or methods of an embodiment of a method of collecting and analyzing movement data to generate a fight strategy as shown in FIG. 17 can be combined with certain steps or method of an embodiment of a method of collecting and analyzing movement data of an athlete to generate a training strategy as shown in FIGS. 14, 15, and/or 16.
• the raw data collected and transmitted by the device 200 is stored only at the main computing system 102. In other embodiments, the raw data collected and transmitted by the device 200 is stored only at the mobile device 120. In certain embodiments, the raw data collected and transmitted by the device 200 is stored at both the main computing system 102 and the mobile device 120.
• the one or more generated reports are stored only at the main computing system 102. In other embodiments, the one or more generated reports are stored only at the mobile device 120. In certain embodiments, the one or more generated reports are stored at both the main computing system 102 and the mobile device 120.
• the raw data and/or one or more generated reports are saved at the main computing system 102 and are accessible by the user from any computer or mobile device 120. In certain embodiments, the raw data and/or one or more generated reports are saved at the main computing system 1 2 and are accessible by the user from any computer or mobile device 120, but only when certain credentials are inputted. In other embodiments, the raw data and/or one or more generated reports are saved at the main computing system 102 and are accessible by a user only through a mobile application or computer program compatible with the main computing system 102. Game Input Device
• the device 200 can be configured to function as an input method for playing a video game on a mobile device.
• the accelerometer 210 within the device 200 detects a user's movements in real-time. Then, in some embodiments, a transmitter 216 within the device 200 transmits the detected movement to a mobile device 120, In some embodiments, a video game is installed and operating on the mobile device 120, Then, the movement data received by the mobile device 120 is processed to execute a certain demand within the video game.
• the device 102 can be configured to detect certain parameters of the user's movements, including speed, force, trajectory, and total number of punches, kicks, or other movements. In other embodiments, the device 102 can be configured to detect certain orders or types of movements, including kicks, punches, or other movements.
• Mobile devices 120 includes but is not limited to a personal computer, cellular phone, laptop, tablet device, or other device capable of connecting to the network 1 18. In some embodiments, the mobile device 120 can be connected to other mobile devices 120, computers, or users via a network 1 18.
• any of the various illustrative logical blocks, modules, cores, processors, means, circuits, and algorithm steps described in connection with the aspects disclosed herein may be implemented as electronic hardware (e.g., a digital implementation, an analog implementation, or a combination of the two, which may be designed using source coding or some other technique), or various forms of program or design code incorporating instructions, or combinations of both.
• electronic hardware e.g., a digital implementation, an analog implementation, or a combination of the two, which may be designed using source coding or some other technique
• program or design code incorporating instructions, or combinations of both.
• Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
• the various illustrative logical blocks, modules, cores, and circuits described in connection with the aspects disclosed herein may be implemented within or performed by an integrated circuit (IC), an access terminal, or an access point.
• the IC may comprise a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, electrical components, optical components, mechanical components, or any combination thereof designed to perform the functions described herein, and may execute codes or instructions that reside within the IC, outside of the IC, or both.
• the logical blocks, modules, cores, and circuits may include antennas and/or transceivers to communicate with various components within the network or within the device.
• a general purpose processor may be a microprocessor, but in the alternative, the processor may be any processor, controller, microcontroller, or state machine.
• a processor may also be implemented as a combination of computing devices, for example, a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
• the functionality of the modules or cores may be implemented in some other manner as taught herein.
• the functionality described herein e.g., with regard to one or more of the accompanying figures
• Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
• a storage media may be any available media that can be accessed by a computer.
• such computer-readable media can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to cany or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
• a computer- readable medium may be in the form of a non- tra itory or transitory computer-readable medium. Also, any connection may be properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium.
• DSL digital subscriber line
• Disk and disc includes compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
• a computer-readable medium may be implemented in any suitable computer-program product.

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• 2013
  • 2013-03-07 WO PCT/US2013/029659 patent/WO2013142085A1/fr not_active Ceased
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