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Motion intensity evaluation algorithm under fuzzy observer
- 1 Shanghai University of Sport
- 2 Tsinghua University
* Author to whom correspondence should be addressed.
Abstract
With the progress of society and the improvement of people's living standards, people's requirements for physical fitness are also increasing. Especially for middle-aged and young men, they often need to work at their desks for a long time in their daily work and life, and their physical fitness is relatively poor, making them prone to various diseases. Therefore, this article focuses on the study of motion intensity evaluation algorithms based on fuzzy observers. By classifying human motion intensity and establishing corresponding fuzzy observers, the difference between the output of the fuzzy observer and the set value is used to determine whether the human motion intensity is too high or too low. The research results indicate that the fuzzy observer has a good performance in evaluating exercise intensity, with an evaluation accuracy of up to 94%.
Keywords
Exercise Intensity Assessment, Fuzzy Observer, Assess Accuracy, Sports Type
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Cite this article
Li,M.;Wang,Z. (2024). Motion intensity evaluation algorithm under fuzzy observer. Theoretical and Natural Science,49,1-8.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 4th International Conference on Biological Engineering and Medical Science
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