Fatigue Index Calculation for Adaptive Exercise Feedback
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Solution Overview
Problem
Individuals face challenges in maintaining motivation for regular exercise, particularly with repetitive motions, and existing systems often fail to account for muscle fatigue and user interests, leading to decreased participation in athletic activities.
Innovation Solution
A computer-implemented method that calculates fatigue values during athletic movements, creating a fatigue index to provide users with feedback and personalized workout plans, incorporating data from multiple sessions and sensors to monitor muscle and respiratory fatigue, and adjust exercises accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exercise programs focus on particular activities, then specific athletic performance is improved, but user interest and motivation are decreased when interests are ignored
Solution Approach 1:
The system dynamically adjusts exercise programs based on real-time fatigue monitoring and user preferences. The exercise selection and parameters are not fixed but adapt continuously according to measured fatigue levels and user interest data, resolving the contradiction between maintaining reliable performance focus and adapting to changing user interests
Solution Approach 2:
The system changes multiple parameters simultaneously including exercise type, intensity, duration, and recovery periods based on fatigue indices. This multi-parameter adaptation allows the program to maintain performance reliability while being versatile enough to accommodate user interests and prevent fatigue-related disengagement
2Productivity
If exercise intensity is increased to improve fitness results, then physical benefits are enhanced, but muscle fatigue accumulates leading to decreased motivation
Solution Approach 1:
The system implements continuous feedback loops where fatigue sensors monitor muscle and respiratory fatigue in real-time, and this feedback directly influences exercise intensity adjustments. This closed-loop control ensures fitness progress is maintained while preventing excessive fatigue that would reduce motivation and exercise continuation
Solution Approach 2:
The system incorporates periodic rest intervals and varying exercise intensities based on accumulated fatigue levels. Rather than continuous high-intensity exercise, the program uses periodic action patterns that alternate between intensive training phases and recovery phases, maintaining fitness productivity while ensuring long-term exercise sustainability
3Reliability
If fatigue monitoring is implemented to prevent overtraining, then exercise safety is improved, but system complexity increases
Solution Approach 1:
The system uses the user's own physiological responses (muscle fatigue signals and respiratory rate changes) as the monitoring mechanism. Rather than requiring complex external equipment, the system leverages naturally occurring physiological data that can be captured with relatively simple sensors, reducing overall system complexity while maintaining high exercise safety
Solution Approach 2:
The patent introduces a intermediate computational layer that processes simple sensor inputs into comprehensive fatigue indices. This intermediary processing layer translates basic sensor data into actionable fatigue metrics, allowing the system to achieve sophisticated safety monitoring without requiring equally sophisticated hardware
Data Source
Figure 1A
Figure 1B
Figure 2A~2B
AI summary
Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing an athletic movement and/or exercise and generating a fatigue value. Fatigue values may be determined for different groups. In one embodiment, a first value is determined for a muscle fatigue value and a second value is determined for a respiratory value. In another embodiment, a first value may pertain to a first muscle group and a second value may pertain to a second muscle group. A fatigue index may be created from values obtained during an athletic movement and/or a workout session. In further embodiments, a cumulative fatigue index may be determined. A cumulative fatigue index may consider values obtained during several workout sessions. Further, data obtained outside of workout sessions may be considered in determinations relating to fatigue values and/or indices.