Bust-Area Exercise Motion Recognition for Quantitative Progress
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Solution Overview
Problem
Existing digital therapeutics lack the ability to provide accurate exercise result data, making it difficult for users to determine the effectiveness of their exercises and for medical personnel to assess patient progress effectively.
Innovation Solution
A method and apparatus that utilize motion recognition technology to provide exercise contents for the bust area, extracting exercise data and calculating quantitative result data, which includes identification information and numerical values, and visualizing the improvement through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If digital therapeutics provide exercise contents with arbitrarily set target values, then the exercise program can be simplified, but the ability to determine absolute user level and provide accurate result data is lost
Solution Approach 1:
The system incorporates motion recognition technology that captures user movement and compares it against reference data to automatically determine exercise performance levels. The system provides real-time feedback by displaying recognized motion data and calculating exercise results based on actual user performance, enabling accurate measurement of absolute user level without complex manual assessment procedures.
Solution Approach 2:
The patent replaces arbitrary manual target value setting with automated motion recognition systems. Instead of relying on pre-set arbitrary targets, the system uses image processing and motion analysis algorithms to objectively measure and evaluate user exercise performance, substituting the mechanical/arbitrary target setting process with an automated scientific measurement approach.
2Device complexity
If digital therapeutics only provide exercise contents without motion recognition, then the system complexity is reduced, but the ability to extract exercise data and provide result data for medical personnel is lost
Solution Approach 1:
The system integrates multiple functions into a unified platform: it provides exercise guidance, captures motion data through the camera, processes and recognizes movements, extracts exercise data, calculates results, and provides both user feedback and medical personnel reports. This multi-functional integration allows the system to generate comprehensive exercise result data without requiring separate complex systems for each function.
Solution Approach 2:
The motion recognition system acts as an intermediary between the exercise content delivery and the data extraction processes. It captures visual data from the camera, processes this information to recognize user movements, and bridges the gap between simple exercise guidance and complex data analysis, enabling automated extraction of exercise data and generation of result reports for medical personnel.
Data Source
AI summary
A method for providing exercise contents based on motion recognition for a movement of a bust area of a user, includes: an exercise content providing step of outputting, through a user interface executed in a user terminal, exercise contents including multimedia contents; an exercise data extracting step of extracting, from recognized motion data, exercise data including identification information about a body area of the user subject to exercise and numerical information indicating a quantitative value of the exercise by recognizing a user's motion using image data about the target area captured by a capturing unit of the user terminal; and a result data calculating step of calculating result data, which is quantitative data about body improvement of the user by using the exercise data extracted in the exercise data extracting step and user status data including health status information and body specification information of the user.