Exercise Training Plan Generation by Aerobic-Anaerobic State
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Solution Overview
Problem
Existing wearable devices fail to accurately calculate a user's physical strength and generate personalized exercise training plans based on their physical strength, particularly distinguishing between aerobic and anaerobic exercise states.
Innovation Solution
A method and apparatus that determine a user's current physical strength by analyzing their exercise state, which includes aerobic or anaerobic exercise states, using wearable devices to collect exercise parameters, and generate tailored exercise training plans based on this strength.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing wearable devices are used for exercise tracking, then basic exercise monitoring is available, but accurate calculation of user's physical strength and generation of personalized training plans is not achieved
Solution Approach 1:
The patent segments the exercise state recognition into distinct aerobic and anaerobic exercise states, with separate calculation methods for each. This segmentation allows for more precise physical strength calculation by tailoring the approach to the specific exercise type, thereby resolving the contradiction between measurement precision and maintaining manageable system complexity.
Solution Approach 2:
The patent changes the parameter basis for physical strength calculation from generic exercise data to exercise-state-specific parameters. By using different calculation parameters for aerobic versus anaerobic states, the system achieves higher measurement precision while keeping the overall framework relatively simple through parameter adaptation rather than structural complexity.
2Adaptability or versatility
If generic training plans are provided without considering exercise states, then device complexity is reduced, but training effectiveness and personalization are compromised
Solution Approach 1:
The patent implements dynamic training plan generation that adapts to the user's current exercise state. The system transitions between different plan generation modes depending on whether the user is in an aerobic or anaerobic state, providing personalized recommendations that match the current physiological condition. This dynamic approach enhances adaptability while managing complexity through state-based decision logic.
Solution Approach 2:
The training plan parameters are changed based on the detected exercise state. Different parameters such as intensity, duration, and exercise type are adjusted according to whether the user is in an aerobic or anaerobic state. This parameter-based personalization achieves high adaptability without requiring complex algorithmic structures, as the changes are driven by the exercise state classification.
3Measurement precision
If exercise state differentiation is implemented, then physical strength calculation accuracy improves, but system complexity increases
Solution Approach 1:
The patent divides the continuous exercise spectrum into two distinct segments: aerobic exercise state and anaerobic exercise state. This segmentation simplifies the detection process by establishing clear boundaries and characteristics for each state, making it easier to implement accurate recognition without requiring overly complex analytical systems.
Solution Approach 2:
The patent uses parameter changes within each exercise state to simplify detection. By defining characteristic parameter ranges and patterns for aerobic versus anaerobic states, the system achieves accurate state recognition through parameter monitoring rather than complex multi-dimensional analysis, thereby improving precision while controlling complexity.
Data Source
AI summary
A method includes obtaining an exercise state of a user, determining a current physical strength of the user according to the exercise state, and generating an exercise training plan according to the current physical strength. The exercise state includes at least one of an aerobic exercise state or an anaerobic exercise state.