Evaluation of basic sports actions for students based on DTW posture matching algorithm

Abstract

In the evaluation of basic sports movements for students, traditional evaluation methods are usually limited by static indicators, making it difficult to comprehensively capture students' performance in dynamic sports movements. Therefore, the study proposes a student sports basic action evaluation method based on the dynamic time warping posture matching algorithm, focusing on the action recognition, and the method is verified. These experiments confirmed that the average error of this proposed method in positioning accuracy testing was significantly smaller than the other two comparison algorithms, with an average error of 11.43 mm, 15.35 mm, and 20.38 mm on the X, Y, and Z axes, respectively. Moreover, its recognition rate for broadcast gymnastics was as high as 99.5 %. To verify the practical application significance of the research, the score of student S8 reached 9.95. After 8 weeks of training, the average muscle mass was increased by 52.9 %, and the maximum oxygen uptake was increased by 34.1 %. In contrast, student S9 with a score of 5.56 showed a relatively small improvement, with a 25.8 % increase in muscle mass and only a 19.1 % increase in maximum oxygen uptake. The innovative application of the posture matching algorithm in the evaluation of basic sports movements of students provides a feasible and effective method for improving the level of physical education and sports health management.