Exercise Efficiency Rating via Sensor-Based Motion Analysis
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Solution Overview
Problem
Existing methods for improving exercise efficiency in sports like golf face challenges in capturing marker trajectories and objectively tracking motion analysis results, leading to difficulties in quantitatively rating and improving exercise efficiency.
Innovation Solution
An exercise rating and improvement system that uses a combination of sensors to extract feature amounts from biological, joint motion, pressure, and distance information, employing machine learning to compare and rate exercise efficiency, and provide improvement information to enhance performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion capture with markers is used to rate exercise efficiency, then measurement capability is improved, but reliability deteriorates when player's motion prevents marker from appearing in video
Solution Approach 1:
The patent introduces sensors as intermediary devices attached to the player's body to detect motion data directly, replacing the marker-based video capture system. These sensors act as mediators that reliably transmit motion information without being affected by visibility issues in video footage.
Solution Approach 2:
The patent replaces the optical-mechanical marker tracking system with an electronic sensor-based detection system. This substitution eliminates the fundamental limitation of video-based methods where markers may not be visible, providing reliable data collection regardless of player motion.
2Measurement precision
If multiple sensors are used to acquire comprehensive exercise data, then measurement capability is improved, but device complexity increases
Solution Approach 1:
The patent employs sensors with multi-functionality that can detect various types of motion data (acceleration, angular velocity, position) using a unified sensor platform. This approach allows comprehensive exercise measurement while avoiding the complexity of multiple specialized devices.
Solution Approach 2:
The patent combines multiple sensing functions into an integrated sensor system that simultaneously captures biological information, joint motion, and position data. This merging of functions reduces overall system complexity compared to using separate devices for each measurement type.
Data Source
AI summary
An exercise rating and improvement system comprising: a feature amount extraction unit for extracting, from information obtained from a subject, a feature amount about exercise efficiency; an rating unit for rating exercise efficiency of the subject by comparing the extracted feature amount and a feature amount to be compared; and an improvement information providing unit for providing, on the basis of the rating result, information such that the feature amount of the subject approaches the feature amount to be compared.


