Exercise Assistance Device Skeleton Analysis Feedback
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Solution Overview
Problem
There is a need for personalized and efficient exercise management solutions that can provide real-time feedback and recommendations without temporal and spatial restrictions, as traditional trainer-based services are costly and inconvenient.
Innovation Solution
An exercise assistance device and method utilizing a server-based system that analyzes user exercise videos by detecting skeletal movements, comparing them to reference data, and providing personalized exercise recommendations based on similarity analysis, allowing for automatic and accurate feedback and tailored workout suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If trainer-based exercise services are used, then personalized exercise guidance is provided, but temporal and spatial restrictions and high costs occur
Solution Approach 1:
The system enables users to perform self-service exercise analysis by automatically capturing their exercise videos, detecting skeletal movements, and providing feedback without requiring physical trainer intervention. The exercise assistance device autonomously processes user data and generates personalized exercise programs.
Solution Approach 2:
The patent replaces the mechanical human trainer system with an automated digital system comprising video capture devices, skeleton detection algorithms, and exercise analysis software. This substitution eliminates the need for physical presence of trainers while maintaining personalized guidance capabilities.
2Measurement precision
If skeleton detection and video analysis are performed, then exercise accuracy and personalization are improved, but processing complexity increases
Solution Approach 1:
The analysis system is segmented into distinct functional modules: video capture unit, skeleton detection module, exercise form analysis unit, and feedback generation system. Each module handles a specific aspect of the analysis process, making the overall complex system manageable and maintainable while achieving high measurement precision.
Solution Approach 2:
The patent introduces an intermediary exercise assistance device that acts as a mediator between the user's physical exercise and the digital analysis system. This device captures video data, processes it through skeleton detection algorithms, and translates the results into actionable exercise feedback, bridging the gap between raw video data and meaningful insights.
3Productivity
If real-time exercise feedback is provided, then exercise efficiency is improved, but data processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing video data during exercise execution, extracting skeleton information and comparing it against stored exercise templates in real-time. This allows for immediate feedback generation without requiring extensive post-exercise analysis, thereby improving exercise efficiency while managing processing energy consumption.
Data Source
AI summary
There is provided a device for assisting exercise, comprising a video providing unit configured to provide a first video data including a first exercise movement, a data obtaining unit configured to obtain a second video data based on an input relating to the first video data, a joint information extracting unit configured to extract a first joint information obtained by detecting plural skeletons from the second video data, an analyzing unit configured to obtain an analysis information based on a similarity determined by comparing the first joint information with a second joint information of the first video data and a recommendation unit configured to obtain recommendation information for recommending an exercise movement to a user based on at least one of the first video data, the second video data and the analysis information from a database including plural exercise movements may be provided according to an embodiment.