Personalized Exercise Program Generation via Movement Analysis
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Solution Overview
Problem
Individuals face challenges in maintaining regular exercise programs, particularly those involving repetitive motions, as they often view exercise as a chore and existing systems fail to cater to diverse interests, leading to decreased motivation.
Innovation Solution
A system and method utilizing a computer device with image capture and sensor technologies to create personalized exercise programs based on human movement screens, incorporating user preferences and data from accelerometers, gyroscopes, and GPS devices, to tailor workouts and provide feedback for improved engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a standardized exercise program is provided, then the system complexity is reduced, but the adaptability to individual user needs and interests deteriorates
Solution Approach 1:
The system performs preliminary assessment of user capabilities, preferences, and goals before generating the exercise program. This preliminary action enables the system to create personalized programs without requiring complex real-time adjustments during exercise execution.
Solution Approach 2:
The exercise program is designed to be dynamic and adaptable, allowing modifications based on user feedback and progress. The system can adjust program parameters such as intensity, duration, and exercise selection to match individual user needs while maintaining overall program structure.
2Device complexity
If exercise programs focus on particular activities, then the program structure becomes more defined, but the user interest coverage deteriorates
Solution Approach 1:
The system incorporates multiple exercise modalities and activity types within a single program framework. By integrating various exercise categories (strength, cardio, flexibility) and allowing users to select preferred activities, the system maintains structured programs while covering diverse user interests.
Solution Approach 2:
Different sections of the exercise program can be customized to match user preferences for specific activities. The system allows localized customization of exercise selections while maintaining the overall program structure and progression.
3Ease of operation
If real-time feedback and personalization are implemented, then user engagement is improved, but the computational requirements and system complexity increase
Solution Approach 1:
The system implements feedback mechanisms that monitor user performance and provide real-time guidance. This feedback enables personalization of the exercise program based on actual user capability and progress, improving engagement through adaptive difficulty and targeted recommendations.
Solution Approach 2:
The system enables users to self-monitor and self-adjust certain program parameters based on provided feedback and guidelines. This reduces the computational burden on the system while maintaining high levels of user engagement and personalization.
Data Source
AI summary
Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.