Kinematic Recommendation Across Devices for Real-Time Athlete Feedback
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Solution Overview
Problem
Contemporary athletic performance analysis systems are limited by bulky hardware that cannot be easily transported and provide sluggish, non-real-time data analysis, lacking emotional intelligence in communication, and failing to adapt recommendations to the athlete's state and environment.
Innovation Solution
A system using machine learning to analyze kinematic and environmental data, providing real-time recommendations through an augmented reality interface and two-way audio, adapting communication based on the athlete's state and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If generic mobile devices are used for athletic performance analysis, then portability and ease of operation are improved, but processing speed and real-time analysis capability deteriorate due to substantial resource requirements
Solution Approach 1:
The patent introduces a specialized processing intermediary layer that bridges the mobile device and the athletic performance analysis system. This intermediary handles the computationally intensive tasks of processing sensory data from cameras, microphones, and sensors, allowing the mobile device to maintain portability while achieving real-time analysis capabilities through the mediator's processing power.
2Measurement precision
If bulky bespoke computer hardware is used for athletic performance analysis, then processing power and analysis accuracy are improved, but portability and ease of transport deteriorate
Solution Approach 1:
The patent implements a universal athletic performance analysis system that can be deployed across multiple mobile devices and contexts. The system uses standardized sensors and processing algorithms that can accurately analyze various athletic activities (golf, baseball, basketball, soccer) on portable devices, eliminating the need for bulky specialized hardware while maintaining analysis accuracy through multi-functional software capabilities.
3Loss of information
If contemporary systems provide analytical data, then information completeness is improved, but athlete engagement and performance improvement deteriorate due to emotionally-unintuitive presentation
Solution Approach 1:
The patent dynamically changes the presentation parameters of analytical data based on the athlete's emotional state and performance context. The system adjusts tone, timing, and delivery method of feedback to match the athlete's needs, transforming cold analytical data into emotionally intelligent guidance that motivates and engages the athlete while maintaining complete information delivery.
Data Source
AI summary
A system preparing kinematic recommendations for athletes using artificial intelligence is disclosed. The system is programmed to sense personal physical data regarding a subject athlete, and optionally review environmental data, and historical performance and physical data related to the subject athlete. The system produces performance recommendations for that subject athlete, determines a best medium for providing the performance recommendations to the subject athlete based on their personal physical data, and provides the performance recommendations to the subject athlete via that determined best medium. The best medium can include an augmented reality interface worn by the athlete. The performance recommendations can be prepared by machine learning or artificial intelligence models designed to analyze athletic performances, and to communicate conversationally with the athlete.