Personalized Exercise Training Plans From Exercise Intensity Assessment
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Solution Overview
Problem
Existing smart wearable devices cannot accurately assess a user's exercise ability, leading to ineffective personalized training plans and poor user experience.
Innovation Solution
Obtain exercise intensity through heart rate or fitness tests, determine training intensity based on exercise ability, and generate a personalized exercise training plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing smart wearable devices are used for exercise tracking, then basic positioning and navigation functions are provided, but accurate assessment of user exercise ability and personalized training plan generation are not achieved
Solution Approach 1:
The system segments the training plan generation process into distinct modules: exercise intensity detection module, exercise ability assessment module, and training plan generation module. Each module handles a specific function, allowing the complex system to be managed through modular components that can be developed and maintained independently while achieving accurate exercise ability assessment.
Solution Approach 2:
The system performs preliminary exercise intensity detection and assessment before generating the training plan. By pre-assessing the user's exercise ability through detected exercise intensity data, the system prepares personalized parameters in advance, enabling the generation of accurate personalized training plans without requiring complex real-time calculations during exercise execution.
2Productivity
If generic training plans are provided by existing devices, then device complexity is kept low, but training effectiveness and user experience are poor
Solution Approach 1:
The system changes key parameters including exercise intensity levels, training duration, and exercise types based on the assessed exercise ability. By dynamically adjusting these parameters according to detected exercise intensity data, the system generates personalized training plans that adapt to individual user capabilities, significantly improving training effectiveness compared to generic plans.
Solution Approach 2:
The system applies local quality by customizing specific aspects of the training plan (exercise intensity, duration, type) according to the user's individual exercise ability assessment. Rather than providing a one-size-fits-all approach, each training plan is locally optimized for the specific user's capabilities, enhancing training effectiveness while managing complexity through targeted personalization.
3Adaptability or versatility
If exercise intensity detection is implemented to assess exercise ability, then personalized training plans can be generated, but the system requires more complex processing and data analysis
Solution Approach 1:
The system extracts essential exercise intensity data from various sources (heart rate, speed, distance) and focuses processing only on the most relevant parameters for exercise ability assessment. By extracting and prioritizing key data elements rather than processing all available data, the system achieves personalized training capability while managing data processing complexity through selective analysis.
Data Source
AI summary
A method includes obtaining an exercise intensity of a user, determining a training intensity of the user according to the exercise intensity, and generating an exercise training plan according to the training intensity. An electronic device is configured to perform the method. A computer-readable storage medium storing at least one computer program that, when executed, causes the method to be implemented.