Skeleton Capture Exercise Load Calculation
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Solution Overview
Problem
Existing methods for measuring an athlete's exercise load in real-time are not accurate, as they rely solely on covered distance, which does not account for various motions and postures involved in sports like soccer and basketball.
Innovation Solution
An information processing device that calculates an athlete's exercise load based on skeleton capture data from images, which determines the motion and posture of the athlete, providing a more accurate assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If exercise load is calculated based on covered distance using GPS, then the measurement is simple to implement, but the accuracy of exercise load assessment deteriorates because it does not account for various motions and postures
Solution Approach 1:
The patent replaces the mechanical GPS-based distance measurement system with an image processing system that uses computer vision to capture and analyze athlete movements. The imaging device records video of the athlete, and image processing extracts skeletal information to calculate exercise load based on actual motion patterns, postures, and intensity, providing accurate assessment without relying solely on distance data.
2Ease of operation
If GPS is used to measure covered distance, then the system is simple and easy to operate, but it fails to capture various motions and postures involved in sports like soccer and basketball
Solution Approach 1:
The imaging device serves multiple functions: it captures the athlete's image, extracts skeletal information through image processing, identifies various motions and postures, and calculates exercise load. This multi-functional approach replaces the single-function GPS device, enabling comprehensive motion analysis while maintaining system simplicity through integrated processing.
3Measurement precision
If skeleton capture data from images is used to calculate exercise load, then the accuracy of exercise load measurement is improved, but the device complexity increases due to imaging devices and image processing requirements
Solution Approach 1:
The system uses the imaging device to capture images, then automatically processes these images through computer vision algorithms to extract skeletal data and calculate exercise load without requiring external sensors or additional equipment on the athlete. The system serves itself by using readily available imaging technology and automated processing, reducing the need for complex additional components.
Data Source
AI summary
An information processing device includes an exercise load calculation unit that performs processing of calculating a value of an exercise load of a subject on the basis of skeleton capture data regarding the subject generated from an image captured by an imaging device.