Sports Swing Tracking System Using AI Body Pose Estimation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current sports training systems are laborious and inaccurate, relying on manual video analysis that is often beyond the capabilities of average users, limiting their ability to improve performance effectively.
Innovation Solution
A sports swing tracking system utilizing artificial intelligence to track key body points and swing dynamics, providing frame-by-frame comparisons and automated feedback for users, including static and dynamic lines, and tips for correction, powered by a computer processor with a camera system operating at high frames per second and capable of three-dimensional calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual video analysis is used to assess player performance, then the system is simple and accessible, but the analysis becomes laborious and inaccurate
Solution Approach 1:
The patent replaces manual mechanical video analysis with an automated computer vision system using deep learning models. The system automatically detects body joints, calculates swing metrics, and generates performance reports without human intervention, thereby improving accuracy while reducing time investment.
Solution Approach 2:
The system enables players to self-assess their performance by uploading videos, with the automated system providing detailed analysis and feedback. This eliminates the need for professional coaches to manually analyze each swing, making the service accessible to average users while maintaining high measurement precision through AI algorithms.
2Reliability
If professional coaching and sophisticated analytics tools are used, then performance analysis improves, but the cost and complexity increase significantly
Solution Approach 1:
The patent provides a cost-effective alternative to expensive professional coaching by using freely available deep learning models and open-source computer vision libraries. The system can be deployed on standard computers without requiring sophisticated hardware or expensive software licenses, making high-reliability performance analysis accessible to average users.
Solution Approach 2:
The system is designed to be universally applicable across different sports and skill levels. The same deep learning model can analyze various swing types and performance metrics, providing reliable feedback to both beginners and advanced players without requiring sport-specific sophisticated tools or expert coaches.
3Loss of information
If frame-by-frame video review is performed manually, then detailed analysis is possible, but the process becomes laborious and limited by time constraints
Solution Approach 1:
The system continuously processes the entire video sequence automatically, extracting detailed measurements from every frame without interruption. The deep learning model processes the complete swing motion in a single operation, providing continuous detailed data about body joint positions, swing speed, and trajectory throughout the entire movement sequence.
Solution Approach 2:
The patent replaces the manual frame-by-frame review process with automated computer vision algorithms that process entire video sequences instantly. The system extracts detailed quantitative data about body joints, swing metrics, and performance parameters without human intervention, thereby maintaining comprehensive information while dramatically improving productivity.
Data Source
AI summary
A sports swing tracking system that has at least one computer processor, a camera system with a digital image sensor, the camera system operating at or greater than sixty frames per second at an exposure rate faster than one one-thousandth of a second. The sports swing tracking system also includes a distance calculating system designed to calculate the distance to an object of known size determined by a pixel array corresponding to the equivalent dimensions of the imaged object. The sports swing tracking system also includes a body frame pose estimator system designed to calculate the distance between each of thirteen or more body frame points and a motion mapping system designed to calculate changes in the three-dimensional location and attitude of at least one or more of the thirteen or more body frame points, an at least one ball point, and two or more points representing a sports instrument.