Abstract
The J-Sleeve System provides a system for collecting and analyzing data from the athletic performance of an athlete to provide feedback and advice on preferred movements to produce increased accuracy and efficient in the performance of the athlete and to improve understanding of the competitive landscape. Users would wear the J-sleeve on their arm during workouts, games, back yard skill sessions for which data is desired for analysis with JSS to improve efficiency and performance of user. JSS uses data and artificial intelligence to improve the efficiency of the athletes and their athletic performance. JSS capabilities include athletic movement form replay and accuracy, movement location tracking, fatigue level tracking, social sharing and competition, and a virtual clipboard for developing plays and positioning, and video game integration. The virtual clipboard allows users to draft optimal plays using data to determine the user with the best chance of success.
Claims
1. A method for improving athletic performance of an athlete user comprising: Attaching a garment system to an athlete user's body; Calibrating said garment system to said athlete user's ideal movement; Collecting athlete user performance data from a garment system worn on the body of an athlete user performing an activity; Transmitting said athlete user performance data to an external processor over a wireless communication transmitter; Analyzing said athlete user performance data of said athlete user performing said activity against said athlete user's ideal movement; Developing recommendations for said athlete user based on the analysis of said athlete user performance data from said external processor; Delivering said recommendations for said athlete user to a personal mobile device or visual interface on a mobile application; Displaying said recommendations on a visual interface on said personal mobile device or said visual interface on a mobile application.
2. The method of claim 1, wherein said garment system is further comprised of a compression sleeve, accelerometer, gyroscope, pressure sensor, heartrate monitor, wireless communication transmitter, and a power source.
3. The method of claim 2, wherein said athlete user performance data is further comprised of a library of data points collected by said garment system and analyzed by said external processor.
4. The method of claim 3, wherein said external processor is further comprised of a data collection unit consisting of a board, a power source, a response mechanism, sensors, and a personal mobile device, a visual display interface to provide instantaneous performance feedback to said athlete user and to provide said athlete user performance data to said recipient user.
5. The method of claim 4, wherein said external processor identifies an ideal movement for said athlete user through analysis of said library of data points collected for said athlete user.
6. The method of claim 5, wherein said recipient user may be selected from the group consisting of coach, staff, parent, and athlete user.
7. The method of claim 6, wherein said external processor develops recommendations for a recipient user on roster and plays to maximize performance of said athlete user and to increase scoring probability of said athlete user.
8. The method of claim 7, wherein said athlete user performance data may be selected from the group consisting of: name, age, height, weight, school, team, fatigue level, shot count, stamina, accuracy, field goal, location, athletic movement, ideal movement, shot form, shot technique, shot location tracking, moving heart rate, resting heart rate, and pulse.
9. The method of claim 1, wherein a first athlete user engages in competition with a second athlete user, wherein athlete user performance data for said first athlete user is tracked, analyzed and compared to athlete user performance data for said second athlete user by an external processor.
10. A method for selecting a team roster to maximize competition victories comprised of: Collecting athlete user performance data for at least two athlete users from a garment system worn on the body of an athlete user performing an activity; Analyzing said athlete user performance data of said athlete users performing said activity; Reporting said athlete user performance data of said athlete users to an external processor; Identifying an individual athlete user with the highest accuracy rating for each team position on a team roster; Generating a recommendation for a team roster consisting of the most accurate athlete user for each player position on said team roster based on athlete user performance data.
11. A system for improving athletic performance comprised of A garment system for the collection of data; and A mobile computing device for the analysis and reporting of said data.
12. The system of claim 11, wherein said garment system is further comprised of a compression sleeve, accelerometer, gyroscope, pressure sensor, heartrate monitor, wireless communication transmitter, and a power source.
13. The system of claim 12, wherein said mobile computing device is further enabled with a second wireless communication transmitter to receive said data from said garment system.
14. The system of claim 13, wherein a user wearing said garment system records user performance data as said user performs movements, where said user performance data is recorded by said garment system, wherein said recorded user performance data is transmitted from said garment system to said mobile computing device, wherein said mobile computing device analyzes said recorded user performance data to product a user recommendation report for optimal performance based on said recorded user performance data.
15. The system of claim 14, wherein at least two athlete users each wear a garment system, wherein at least two athlete user recommendation reports for optimal performance are generated by at least two mobile computing devices based on recorded athlete user performance data transmitted from said garment systems, wherein a recipient user receives recorded user performance data for each user.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0022] For a more complete understanding of this disclosure and its features, reference is now made to the following description, taken in conjunction with the accompanying drawings, in which:
[0023] FIG. 1 shows the “Sign up and login flow” of JSS.
[0024] FIG. 2 shows the “Sensors setup and session flow” of JSS.
[0025] FIG. 3 shows the “Followers and followings flow” of JSS.
[0026] FIG. 4 shows the “King of Court game flow” of JSS.
[0027] FIG. 5 shows the “Notifications flow” of JSS.
[0028] FIG. 6 shows the overview of JSS.
[0029] FIG. 7 is a sample sleeve component.
[0030] FIG. 8 is a sample sensor and power source setup.
DETAILED DESCRIPTION OF DRAWINGS
[0031] FIG. 1 shows the “Sign up and login flow” of JSS. The JSS user must install the JSS app on their device. If the user is registered, the user is prompted to sign in with email and password. An unregistered user will have to sign in and create a profile as either an athlete user or a coach user and provide the user's registration details. Once user registration details are entered in JSS, JSS directs the user to the performance stats home screen to show a list of live session and the user profile screen, which may include user height, weight, address, phone number, email address, sport position, gender, dominant hand and location, program or school name and address. The JSS user may enter the profile to update their own user profile information at any time.
[0032] FIG. 2 shows the “Sensors setup and session flow” of JSS. Once a user logs in or signs up for JSS, JSS will present the user with the performance stats screen (home page), the user may click on the status session or button to start a live session screen, which shows the live movement of the user's hand or arm while the user puts the sensors in the compression sleeve and calculates the shot count and field goal percentage for shots taken. There may be at least two sensors on the sleeve, one on the upper arm and one on the lower arm. These data points are stored by JSS. The user may also click on an item from the session list (live session only), wherein JSS will present a shot recap screen, which shows the number of shots taken for the current session, accuracy and field goal percentage and performance in form of a chart. The recap for every shot and arm movement is included here. The JSS user may also select a side menu screen, which displays a profile picture, name, list of options such as calibration, change password, membership and logout. The register sensors screen will show the user where to add sensors to the upper arm and lower arm option. If the sensors connect, the JSS is calibrated and live movement of the upper arm and lower arm will be sent to JSS. Thereafter the user may select calibrate button on upper arm and/or lower arm to start moving. The user may perform the jump shot movement, which is detected by the sleeve. Once the jump shot or other athletic movement is detected, JSS will record the hump shot for several seconds, the data from the jump sot will be stored as the form for a jump shot within JSS. JSS will save the jump shot data points in a local database for playing the King of Court game.
[0033] FIG. 3 shows the “Followers and followings flow” of JSS. A JSS user may determine which other JSS users are allowed to follow said user and access said user's data. A first user may select remove to prevent a later user from following the first user and accessing the first user's data. JSS displays a list of JSS users who have been accepted as followers and are allowed to access and view data of a first user. Users may filter their followers based on various characteristics such as name, address, gender, age, group, position, and accuracy rates. Users whose follow request has not been accepted as marked as pending and stored in the pending request screen. These users will be removed if the request is not accepted by the first user and added to the first user's followers if the request is accepted. JSS users may search all users with visible profiles and make follow requests to those users through the JSS platform. Once users are accepted and connected as following or followers, the users may view the profile of the other and access such user details as name, profile picture, position, program name, address, shot club, bucket club, followers, followings, game record, invitations and chat sessions. The user performance record shows the overall win rates and loss rates of the user. Users who are following each other may also request and accept a request to play a King of Court game. The winner and loser of the game will be recorded and stored in the user profile.
[0034] FIG. 4 shows the “King of Court game flow” of JSS. Before a King of Court game may begin, the selected users must calibrate their sensors in order for JSS to collect relevant data. Users may send requests to other user to join a game of King of Court in JSS. If the user accepts the game request, then the user is added to the session but if the user rejects or ignores the request, the request is removed from that user profile. Once the players for the game are set, the live game screen starts to record and store data from sleeves worn by players who are JSS users in the game session. The user who organizes the game has the option to end the game while the game will automatically end for the player users after 24 hours. Once the game ends, the winner screen will display the winner user's name profile, pic, shot count, accuracy rates, and the names/profiles of other game participants. The athlete performance screen will display each user's athlete shot count, date, field goal percentage, and accuracy rates.
[0035] FIG. 5 shows the “Notifications flow” of JSS. Once a game request notification is sent in JSS, the request is displayed on the user game request screen. JSS users may receive notification of events such as game starts, message received in chat, game ends, request for follow received.
[0036] FIG. 6 shows the overview of JSS. The JSS user must secure the compression sleeve to the user's arm. The user then presses selects calibrate button to begin the calibration cycle. Upon calibration, the user will perform the athletic movement and data points will be collected included where the shot is taken, user's shot mechanics, and user's heart rate. The user data is sent to JSS via Bluetooth or other wireless communication network. If the shot or athletic movement was not successful, the user will continue shooting without pressing the button. If the shot or athletic movement was success, the user presses the button to activate JSS to record that a shot was made or completed while the user continued making shots. Once a predetermined number (three to five in this embodiment) of shots have been completed, the JSS sets the value for the “Golden Template”, which is later used by JSS to track and rank each successive user shot in comparison to the Golden Template. Each successive user shot is recorded and compared against the Golden Template, the JSS sleeve flashes to indicate a good shot or poor shot. All data collected from this exercise is displayed on the JSS mobile application dashboard.
[0037] FIG. 7 is a sample embodiment of the JSS sleeve component. JSS includes a garment, such as a compression sleeve in this embodiment, which may be worn by the athlete user of JSS. Compression garments may be worn by athletes to improve performance, increase recovery times, improve circulation, and possibly prevent injury. Compression garments may be constructed of elastic synthetic fibers such spandex or nylon. The JSS may also include a “make or miss button” which may be pressed by the athlete user after every taken shot in order to save the athlete user performance data and track shots that the user makes and shots that the user misses. Further, the JSS includes at least two “muscle memory monitors”. The muscle memory monitor allows the JSS to calculate the metrics of the athlete user's physical activity, such as a jump shot and shot arc, and the heart rate monitor measures fatigue level of the athlete user by taking the actual heart rate relative to the resting heart and categorized the fatigue level into the categories such as Fresh, Working, Tired and Exhausted. Motion sensors also takes elbow posture as well as other metrics of the jump shot to provide diagnostic feedback to the end user, who may be a parent, coach, staff or other recipient user. Sensor synchronization along with court dimensions and JSS shot detection tracks shot distance to determine location for end user analysis and virtual clipboard optimization.
[0038] FIG. 8 is a sample embodiment of the JSS sensor and power source setup. JSS may be powered by a rechargeable battery that is connected to a charging pad. The wireless charging receiver is the primary power sources and is connected to the pressure sensor, motion sensor, and heart rate monitor.
[0039] While this disclosure has described certain embodiments and generally associated methods, alterations and permutations of these embodiments and methods will be apparent to those skilled in the art. Accordingly, the above description of example embodiments does not define or constrain this disclosure. Other changes, substitutions, and alterations are also possible without departing from the spirit and scope of this disclosure and the following claims.
