Personalized Exercise Program Selection for Wearable Assistance
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Solution Overview
Problem
Aging demographics lead to increased muscular weakness and joint problems, necessitating effective exercise solutions for elderly users or patients with reduced strength or joint issues.
Innovation Solution
A system comprising an electronic device, wearable device, and server that generates personalized exercise programs based on user data, using communication modules and processors to determine exercise modes, amounts, and programs, and control wearable devices for assistance or resistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a personalized exercise program is generated based on user data, then exercise effectiveness is improved, but system complexity increases
Solution Approach 1:
The system segments the exercise program generation process into distinct modules: user data collection module, exercise mode determination module, exercise program generation module, and program transmission module. Each module handles specific processing tasks independently, making the complex system manageable and maintainable while achieving personalized exercise recommendations
Solution Approach 2:
The server acts as an intermediary between the electronic device and the wearable device, centralizing the complex processing of user data and exercise program generation. This intermediary approach allows the system to handle complexity in a centralized manner while keeping client devices simple
2Adaptability or versatility
If multiple exercise modes and programs are generated, then exercise versatility is improved, but data processing load increases
Solution Approach 1:
The system generates multiple exercise programs with different intensities and durations as candidate options, then selectively transmits only the most suitable program to the wearable device. This approach provides versatility in program options while minimizing unnecessary data processing and transmission by filtering out unsuitable programs before final transmission
Solution Approach 2:
The system determines candidate exercise modes based on specific user characteristics (age, gender, weight, exercise history) and tailors the exercise programs to individual needs. Each program is customized to the user's local requirements rather than providing a generic solution, optimizing the balance between versatility and processing efficiency
Data Source
AI summary
An exercise program determining method and/or system may include obtaining basic exercise information of a user, determining at least one candidate exercise mode from among a plurality of exercise modes based on the basic exercise information, generating a plurality of exercise programs to include at least some of the at least one candidate exercise mode based on a target exercise result for the user, determining a target exercise amount for the user based on the basic exercise information, and determining a target exercise program from among the plurality of exercise programs based on the target exercise amount.


