Dynamic Exertion System Adapting Load via RPE Feedback
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Solution Overview
Problem
Exercisers often lack an accurate understanding of their strength and loading capabilities during exercises, such as the bench press, due to the absence of prescribed loading in automated systems when the one repetition maximum (1RM) is unknown, leading to suboptimal training and user experience.
Innovation Solution
A dynamic exertion system that receives a rate of perceived exertion (RPE) through a user interface, combines it with movement data, and operates an algorithm to generate prescribed loads and repetitions, recalculating 1RM based on historical data and user feedback to adjust loading for each set dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated fitness systems do not prescribe loading when 1RM is unknown, then system reliability is maintained, but training effectiveness and user experience deteriorate
Solution Approach 1:
The system implements feedback loops where user responses (RPE ratings, completion status) are continuously fed back into the algorithm to refine 1RM estimates and adjust loading prescriptions in real-time, transforming a previously static system into a dynamic adaptive one that improves reliability while maintaining effectiveness
Solution Approach 2:
The system performs preliminary actions by providing conservative initial loading prescriptions when 1RM is unknown, then progressively refines these prescriptions as data accumulates, allowing training to begin immediately rather than waiting for complete 1RM determination
2Device complexity
If static training plans are used without dynamic adjustment, then system complexity is reduced, but adaptability to user strength changes deteriorates
Solution Approach 1:
The patent transforms static training plans into dynamic ones by implementing real-time calculation of 1RM and loading adjustments based on user performance feedback, allowing the system to adapt to strength changes without requiring complete plan redesigns
Solution Approach 2:
The system dynamically changes key parameters (loading percentages, repetition ranges, set structures) based on updated 1RM calculations and user feedback, enabling adaptability through parameter adjustment rather than structural complexity
3Ease of operation
If loading prescription is provided without accurate 1RM data, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The system performs preliminary loading prescriptions using available data and conservative estimates, allowing users to begin training immediately while the system continuously refines accuracy through feedback from actual performance
Solution Approach 2:
The system serves itself by automatically collecting performance data, calculating updated 1RM values, and generating refined loading prescriptions without requiring manual user input beyond basic feedback, progressively improving measurement precision autonomously
Data Source
AI summary
A method for an expert system to develop fitness training plans includes operating a dynamic exertion system to receive a rate of perceived exertion (RPE) through a user interface of a display device, combines the RPE with a movement, a movement load, and movement repetitions into movement set data, and operates a dynamic exertion algorithm. The method then displays an adjusted movement information display including the prescribed load and the prescribed movement repetitions through the user interface. The dynamic exertion algorithm generates a prescribed load and prescribed movement repetitions, determines a difference in RPE from the expected RPE through operation of a comparator, recalculates the one repetition maximum load value using the calibration and adjustment model when the difference in RPE is greater than an RPE threshold value, and generates a display control comprising the prescribed load and the prescribed movement repetitions.