Abstract
The traditional teaching method adopts the unified teaching method, which can not fully pay attention to the students’ differences in learning track and field movements, which leads to students’ errors in learning track and field movements and affects the teaching effect. Therefore, this paper studies the online intelligent teaching method of track and field error avoidance based on multimedia video. After the multimedia video image is collected and processed, the 3D contour feature of track and field action is used to reconstruct and decompose. The gray-scale contour model is used to detect the track and field wrong actions in the image. By analyzing the causes of the wrong actions, the teaching of avoiding the wrong movements in track and field is completed. A case study in a university proves that the teaching method can improve the standard of students’ movements and the teaching effect is better.
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Chen, Ym., Shen, St. (2021). Online Intelligent Teaching Method of Track and Field Error Avoidance Based on Multimedia Video. In: Fu, W., Liu, S., Dai, J. (eds) e-Learning, e-Education, and Online Training. eLEOT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-84383-0_9
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DOI: https://doi.org/10.1007/978-3-030-84383-0_9
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