Swing Analysis System Real-Time Feedback Neural Networks
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Solution Overview
Problem
Current swing analysis systems for athletic performance improvement lack real-time quantitative feedback and autodetection capabilities, particularly for sports involving swinging motions like baseball or golf, relying on post-activity video analysis which is less effective.
Innovation Solution
A swing analysis system incorporating a motion capture system with neural networks to detect body and object movements, and a force measurement assembly to generate and analyze performance metrics, providing real-time feedback and autodetection of swing phases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If post-activity video analysis is used to provide feedback, then the system complexity is reduced, but the feedback timing is delayed and quantitative precision is lost
Solution Approach 1:
The patent implements real-time feedback by capturing swing motion data during activity execution, processing it through neural networks to generate quantitative metrics, and providing immediate feedback to the athlete rather than delayed post-activity video analysis. This resolves the time loss contradiction by delivering feedback during or immediately after the swing action.
Solution Approach 2:
The patent replaces traditional mechanical video analysis systems with a sensor-based measurement system using accelerometers, gyroscopes, and neural networks to detect and quantify swing parameters. This substitution enables real-time quantitative feedback while maintaining manageable system complexity through integrated sensor modules.
2Productivity
If quantitative feedback is provided in real-time during swing execution, then athletic performance improvement is enhanced, but the device complexity increases
Solution Approach 1:
The patent employs multi-functional sensor modules that simultaneously capture acceleration, rotation, and positional data, process multiple swing parameters through neural networks, and provide comprehensive quantitative feedback. This multi-functionality achieves enhanced performance improvement while consolidating device complexity into integrated units rather than separate systems.
Solution Approach 2:
The system performs self-calibration and automatic detection of swing phases through neural network processing of sensor data, eliminating the need for manual setup and reducing operational complexity. The device automatically provides quantitative feedback without requiring complex external equipment or expert intervention.
3Measurement precision
If swing phases are manually analyzed by coaches, then measurement precision is maintained, but the loss of time increases and automation is reduced
Solution Approach 1:
The patent replaces manual coach analysis with automated neural network processing that detects swing phases and calculates quantitative metrics from sensor data. This automation maintains measurement precision through consistent algorithmic analysis while eliminating the time loss associated with manual video review and increasing the extent of automation in swing phase detection.
Data Source
AI summary
A swing analysis system is disclosed herein. The swing analysis system includes a motion capture system comprising at least one motion capture device configured to detect motion of one or more body segments of a user and generate first output data, and further configured to detect the motion of a head and/or face of the user, a hand and/or fingers of the user, and/or an object being manipulated by the user, and generate second output data; and at least one data processing device operatively coupled to the motion capture system, the at least one data processing device configured to determine one or more swing performance parameters for the user using first positional information of the one or more body segments of the user, and/or second positional information for the head and/or face of the user, the hand and/or fingers of the user, and/or the object being manipulated by the user.