Construction and empirical analysis of multiple evaluation system of physical education under the view of biomechanics
Abstract
This study proposes a scientifically grounded, data-driven evaluation framework for physical education, utilizing biomechanical principles. By integrating motion capture, electromyographic signal acquisition, and kinetic analysis, the system quantitatively assesses athletic performance, physiological response, and instructional impact. Through the motion capture system, myoelectric signal acquisition, and kinetic measurement, we quantify the individual’s sports performance, physiological characteristics, and teaching effect, and adopt multi-sensor data fusion, dynamic weight optimization, and visualization analysis technology to improve the accuracy of the evaluation system. The experimental results show that the system can effectively enhance the scientificity of teaching feedback, improve the reliability of motor skill assessment, and optimize personalized teaching intervention strategies. Compared with the traditional subjective scoring, the biomechanics-based evaluation system has significant advantages in the measurement of motor ability, the improvement of teaching mode, and the analysis of training effect.
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