Patent Application
20220370853
The present disclosure relates generally to a system for preserving the mechanical aspects of human movement for analysis particularly as it relates to skill specific activities in sports, physical rehabilitation, and general athletic actions.
Athletes consistently and continuously practice their sport in an effort to achieve perfection and maximum efficiency and consistency during sports competitions. They also put their bodies through strenuous physical rehabilitation and recovery regimes to achieve and maintain peak performance. Similarly, non-sports athletes pursue peak physical health by engaging in general exercise techniques. Coaches may assist the sports athletes in achieving their goals by providing analysis and critique of an athlete's performance and skill set. Feedback or comments from a coach or staff person are typically based on the coach's visual observations and notes from the athlete's practice or game session. Coaches may also rely on video recordings or the visual observations of other coaching staff. Currently, when coaches and athletes want to determine what movements are required for perfect athletic performance, they may depend on the observation of the coach or trainer and the recommendations of the coach or trainer. The athlete may also attempt to self-diagnose any issues preventing perfect performance. Both of these options are limited by human error and the ability to receive and process those visual observations. These methods are not capable of acquiring and analyzing a volume of data comparable to the abilities of a computer or artificial intelligence system. In addition, compression sleeves are typically used for the treatment or prevention of injuries and do not collect data or provide feedback on activities pursued to achieve a desired result specific to the sport or activity. These products may not be customized to the end user and may not provide ongoing insights for improvement specific to the activity performed. These existing systems may not provide analysis of functionality of form for accelerated efficiency.
The present J-Sleeve System (JSS) leverages artificial intelligence to aid the athlete in achieving perfect performance by increasing efficiency and accuracy. JSS allows parents, coaches and athletes to track the skill development and physical activity of the athletes, provides a training and analytical tool to enhance skill development for youth athletes, and showcases the athlete's skill profile that is accessible to recruiters and coaches. JSS capabilities include shot form replay and accuracy, shot location tracking, fatigue level tracking, social sharing and competition, and a virtual clipboard for developing plays, positioning and optimizing game plan strategy, and video game integration.
JSS is customized to the end user, who may be the athlete, parent, coach, staff, or other recipient user of JSS, and provides ongoing insights for improvement, which accelerates the time for the athlete to increase efficiency and achieve perfection or near-perfection. JSS offers continued learning opportunities with varying levels of competency and may be tailored to users in different sports fields such as basketball, golf, baseball, football, soccer, hockey or even physical therapy and general physical health. JSS provides a method of self-capturing a digital rendering of a replay image of the mechanical aspects of a jump shot or other human athletic movement for analytic consumption. The JSS helps close the gap in understanding how to improve the efficiency and accuracy of the athlete's jump shot.
An object of one embodiment of the present disclosure is to provide biometric data for diagnostic analysis of an athlete's movements.
Another object of the present disclosure is to provide a system for manual tracking of an athletes' movements during performance and positioning of the athlete on a field of court for the optimization of game planning and training strategies.
Another object of the present disclosure is to provide real-time and feedback and analysis of an athlete's movements to the athlete, coach and trainer.
Another object of the present disclosure is to provide post-process analysis by storing data and sending said data to a user after the completion of a performance or session.
Another object of the present disclosure is to provide a system for the comparison of performance data of multiple athlete users.
Another object of the present disclosure is to provide a durable, moisture resistant and wearable data collection garment or device.
Another object of the present disclosure is to provide a visual interface for the review, analysis, and comparison of data collected from an athlete.
Another object of the present disclosure is to provide a social platform for user-to-user competition from the data collected from an athlete.
Another object of the present disclosure is to provide a leader board that tracks and compares the data and analysis collected from an athlete against other athletes in the data set.
Embodiments of the present disclosure, the J-Sleeve System (JSS), generally provide 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. JSS helps close the gap in understanding how to improve the efficiency of the athletes jump shot. The JSS also provides exposure to understand the competitive landscape. The invention claimed here solves this problem. JSS capabilities include shot form replay and accuracy, shot location tracking, foot positioning, leg movement, 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 and coaches to draft plays using player data. Users would wear the JSS 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 may also be used in other sports and physical activities where technique is critical to achieving desired outcomes, such as golf, baseball, physical therapy, football, soccer, hockey or general health and wellness.
JSS is a combination of hardware and software elements. JSS hardware may include: electronic compression sleeve, accelerometer, gyroscope, pressure sensor, heart rate monitor, short-range wireless communication transmitter (Bluetooth, for example), and a power source. The data captured with the JSS hardware is processed by JSS custom software code for further processing and analytics. JSS uses sensor technology with the compression sleeve to capture data, which is aggregated on a board with a battery pack and response mechanism. Sealing is poured over the board to case in sensors and protect them from water damage. Once activated, the sensors store data and synchronize with the mobile device via wireless communication transmitter. The mobile device post processes the data to provide custom analytics for end user consumption. JSS software processes collected data with if/then relationships to eliminate false positive readings, identify shot form, and store user metrics. JSS hardware captures data specifically related to the technique of which the user desires to analyze, such as shooting a basketball for the shooting arm only in this embodiment. The collected data is pushed to the cloud, stored, cut, drawn down and JSS analytics are calculated based on this data. JSS hardware is lightweight enough to be worn without hindering or impeding the wearer, durable enough to withstand the rigors of daily athletic use, moisture resistant with sufficient battery life to last throughout hours of use. JSS software filters the collected data needed to draw insights from a customized JSS library to give feedback on the athlete's technique. The customized data in the JSS library is collected from extensive research and collection of data points from many users to determine the ideal movements and speed of a particular athletic movement for a particular sport. In the case of the basketball jump shot, JSS would focus on the three main phases of shooting a jump shot, for example: the shooting pocket, stability and follow through. The JSS data analytics and digital rendering outline the specific capabilities that would allow the user to optimize their post workout reflection time on areas for improvement.
The present embodiment of JSS is focused on the mechanics of a basketball player but the system may be adapted to other athletes and sports. The present embodiment of JSS is a wearable electronic sleeve that a user would place on the user's arm. The JSS is designed to track and report the shot mechanics and biomarkers of the user in real time. In the instance of a jump shot, over 150 data points may be collected per shot and sent to a custom JSS mobile application that stores and reports the data. Among the data categories are shot performance, mechanics/form, and heart rate, however, data categories may be altered depending on the sport and movements being analyzed by JSS. From this data, the J-Sleeve determines the parameters of the ideal movement, “Golden Template”, comprised of the best shots according to the player and/or the coach, which is the three best shots in this example. JSS then compares every shot from the user thereafter to the data points from the Golden Template, and a performance percentage is assigned to the user for that movement. To capture and transmit these data points, the core JSS hardware unit is equipped with an accelerometer, gyroscope, pressure sensor, heart rate monitor, and short-range wireless communication transmitter as well as a power source. JSS has many features including but not limited to manual shot tracking ability for the wearer, manual court location tracking, ability to determine and convey when and where an ideal movement has occurred, a visual interface on JSS hardware to provide immediate feedback to the wearer on various conditions, adjustable sizing for various uses, moisture resistant, durable to withstand physical activity, ability to capture and report real-time data points to the wearer and coach, ability to compare data points for distinct users.
In use, a wearer user may calibrate the sleeve by putting the sleeve on the user's arm, selecting “calibrate” inside the JSS software, perform the desired athletic movements multiple times, which will be detected, recorded and stored by the JSS hardware, store the user's form of the athletic movement, and then the data on the athletic movement is transmitted to JSS and analyzed by JSS to produce data on the perfect performance of the athletic movement. Additionally, JSS will compare each subsequent athletic movement to the perfect performance data and report a value to the user which indicates how well the user is performing the athletic movement. When JSS detects the activity in the identified range, JSS stores the data points on that athletic movement for the particular user.
A JSS user needs an account to use the JSS. The user may identify themselves as either a coach or an athlete user. The athlete user will be prompted to enter data to generate an athlete user profile comprised of their first name, last name, program name, zip code, state, country, age, height, weight, gender, dominant hand (left or right), position played, whether the athlete user wants a private or public profile and a user photo (take photo, upload photo, or no photo). JSS tracks and monitors activity of the athlete user inside JSS and display statistics based on the data gathered from the athlete user's activity in JSS. After the creation of a profile, the athlete user will be prompted to calibrate their JSleeve hardware device by entering the MAC address (sensor address) for the upper arm and the forearm to register the hardware device with JSS software. JSS users may interact with one another based on whether or not they have been linked. A first JSS user may “follow” a second or later user to be updated on that user's activity inside JSS. The first JSS user may allow other JSS users (following users) to be updated on the data and activity of the first user, discretely remove a follower to limit the removed followers access to the activity of the first user, search filters to produce specific results, send and receive messages from other JSS users, record and monitor the win/loss record of each JSS user, competition against other JSS users based on data recorded and stored in JSS, the calculation of JSS user performance statistics stored for daily, weekly, monthly comparisons and to track improvement or decline in performance. Other features include shot recap data (including data on release time and pointers or other advice for improvement), fatigue level monitoring (Fresh, Working, Tired, Exhausted, Shots Made, For Accuracy) feedback based on analysis of JSS user data and comparison with ideal athletic movement data from JSS Library.
The athlete user's performance data points may optionally include data such as: shot count (stamina, accuracy, field goal), performance graphic designating quality of performance across three ranges based on percentage and location (make/miss, location, fatigue, basketball court with markings such as X and O). For the jump shot embodiment, the Sleeve is programmed with data points mechanics of the jump shot. Each shot programs into JSS app and matches to a collection of data points (for example, 150 data points), JSS recognizes those data points as the jump shot, JSS stores the user's 150 data points in JSS based on personal user profile. Subsequent user shots are measured against that user's own data points. JSS will calculate the user's percent accuracy to inform that user of their accuracy for that shot. Without JSS, the manual or technology free alternative is for a coach to observe the athlete and give tips based on that visual observation or for the athlete to self-identify issues based on poor performance and make a guess based on the athlete's own ability and technique.
Shot form replay within JSS displays an intentionally slowed down video replay of the user's arm while performing the activity of a jumpshot based on the data generated from the JSS sleeve and the library of forms stored within the JSS library for the user to easily digest and analyze for opportunities to improve efficiency for both right- and left-handed shooters. The Shot location tracking allows JSS to recognize when a shot has been taken by the user and the location on the court from which that shot was taken. Shots which enter the goal basket may be marked as O while missed shots may be marked as X, or another similar tracking system. JSS synchronizes shot timing with location data and references the court's dimensions as stored within the system and selected by the user during the session setup process to calibrate the JSS to the court dimensions. Basketball court dimensions may vary based on the level of play (high school, college, professional, international or other). Fatigue level tracking incorporates the heart rate monitoring sensor in the JSS to track and measure the user's heartrate while performing in a session against the user's resting heart rate to determine which customized range the user is in for every shot taken. The Virtual clipboard features a play diagramming software that allows users to draft plays and optimize results leveraging data from JSS for each athlete registered to their respective program for which the plays are being designed or drafted. The optimization of JSS provides data-based advice or guidance to the team or coach on the best player to perform each section of the desired play based on JSS data. Understanding the competitive landscape in JSS involves the leader boards and King of Court features, which allow users to compare themselves against other users within the JSS platform regarding the number of shots taken, shots made, level of accuracy and time spent within the JSS app. Coaches may also leverage this data to identify and follow users as part of a targeted recruiting process.
Other technical features may be readily apparent to those skilled in the art from the following figures and descriptions.
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:
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.
| Number | Date | Country | |
|---|---|---|---|
| 63106447 | Oct 2020 | US |
