View source for 18543056. COMPUTERIZED METHOD FOR ANALYZING SPORT PERFORMANCE METRICS AND PROVIDING TRAINING FEEDBACK simplified abstract (NIKE, Inc.)

=COMPUTERIZED METHOD FOR ANALYZING SPORT PERFORMANCE METRICS AND PROVIDING TRAINING FEEDBACK=


==Organization Name==

[[:Category:NIKE, Inc.|NIKE, Inc.]]


[[Category:NIKE, Inc.]]

==Inventor(s)==

[[:Category:Sunil Bharadwaj of Portland OR (US)|Sunil Bharadwaj of Portland OR (US)]][[Category:Sunil Bharadwaj of Portland OR (US)]]

[[:Category:John Bouck of Portland OR (US)|John Bouck of Portland OR (US)]][[Category:John Bouck of Portland OR (US)]]

==COMPUTERIZED METHOD FOR ANALYZING SPORT PERFORMANCE METRICS AND PROVIDING TRAINING FEEDBACK - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18543056 titled 'COMPUTERIZED METHOD FOR ANALYZING SPORT PERFORMANCE METRICS AND PROVIDING TRAINING FEEDBACK

==Simplified Explanation==

The computer-implemented method described in the abstract involves analyzing sport performance metrics and providing training feedback to users based on their abilities. Here is a simplified explanation of the patent application:

* Receiving play data for multiple users participating in a sporting activity.
* Determining a statistical distribution of performance metrics based on the ability level of each user.
* Receiving data indicating the participation of a specific user in the sporting activity.
* Determining a performance metric for the user and comparing it to the statistical distribution of other users with similar ability levels.
* Identifying deficient performance metrics and transmitting a training program to the user to improve them.

### Potential Applications
This technology can be applied in various sports training programs to help athletes improve their performance based on personalized feedback and analysis.

### Problems Solved
This technology addresses the challenge of providing tailored training feedback to athletes by analyzing their performance metrics and comparing them to a statistical distribution of similar users.

### Benefits
The benefits of this technology include personalized training programs, improved performance metrics, and targeted feedback to help athletes enhance their skills.

### Potential Commercial Applications
This technology can be utilized by sports teams, coaches, and individual athletes looking to enhance their training programs and optimize their performance in competitive sports.

### Possible Prior Art
Prior art in this field may include existing sports performance analysis software, training programs, and coaching methods that aim to improve athletes' skills and abilities through data analysis and feedback mechanisms.

#### Unanswered Questions

#### How does the system ensure data privacy and security for the users' performance metrics?
The abstract does not provide details on how the system protects the confidentiality and security of users' performance data. It would be essential to understand the measures in place to safeguard this sensitive information.

#### Can the training programs be customized further based on individual user preferences or specific training goals?
The abstract mentions providing a training program to improve deficient performance metrics, but it does not specify if these programs can be tailored to meet individual user preferences or specific training objectives. It would be interesting to explore the level of customization available in the training feedback provided by the system.


==Original Abstract Submitted==

A computer-implemented method for analyzing sport performance metrics and providing training feedback includes receiving play data for a plurality of users participating in a sporting activity; determining a statistical distribution of the performance metrics categorized by an ability level of each user; and receiving data indicating participation of the first user in the sporting activity. The server then determines a performance metric for the first user based on the received data and compares the performance metric to the statistical distribution of other users having a similar ability level as the first user. The server then identifies a deficient performance metric and transmits, to the user, a training program configured to improve the deficient performance metric.



[[Category:A63B71/06]]
[[Category:A63B24/00]]
[[Category:A63B69/36]]
[[Category:H04M1/72457]]