PRACTICE AND DEVELOPMENT OF SPORTS SOMATIC SCIENCE IN SOCIAL PHYSICAL EDUCATION TEACHING USING FRACTAL THEORY

Lishuang Wan, Fahad Abdullah Alqurashi () and Woo-Jin Jung
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Lishuang Wan: Gangneung-Wonju National University, Gangwon-do Gangneung Si 25457, Korea
Fahad Abdullah Alqurashi: ��Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Woo-Jin Jung: Gangneung-Wonju National University, Gangwon-do Gangneung Si 25457, Korea

FRACTALS (fractals), 2022, vol. 30, issue 02, 1-12

Abstract: In view of the recognition of human motion function in physical education, a multidimensional evaluation index of motion function based on fatigue, muscle strength and muscle contraction, and relaxation ability is proposed, and the mapping rules among fatigue characteristic value, muscle strength, fractal dimension characteristic change, and motion function state are studied. Based on the characteristics of surface electromyography (sEMG) signal and its generating principle, the collected signal is preprocessed by median filtering to obtain the filtered signal. The effectiveness of the filtering method is proved by comparing the signals before and after filtering. The current muscle strength calculation method based on sEMG signal is analyzed and studied. The muscle strength calculation method of Hill three-element model is used to establish the muscle model through the muscle activity and force–length curve calculated by sEMG signals. The muscle strength is obtained by muscle model, and the feasibility of the experimental method is verified by comparing the calculated actual muscle strength with the theoretical muscle strength. In the experiment, the distribution of different subjects in the multidimensional evaluation index space is studied. Moreover, the mapping relationship between sEMG signal characteristics and human motion function is discussed comprehensively based on theory and data.

Keywords: Fractal Dimension; Human Motion Function; Sports Fatigue Detection; Physical Education (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218348X22400886

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