Abstract
The development of information technology has promoted the development of distance education, and Wushu teaching has gradually changed from traditional face-to-face teaching to distance education. In order to improve the teaching effect, it is necessary to track the teaching objects in real time. In order to improve the real-time tracking of students’ goals in Wushu distance learning, a real-time tracking method of Wushu distance learning goals based on deep learning is designed. The experimental results show that the designed real-time tracking method has a short tracking delay, which proves its effectiveness.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, J., Ma, N. (2022). Real-Time Tracking Method of Students’ Targets in Wushu Distance Teaching Based on Deep Learning. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_53
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DOI: https://doi.org/10.1007/978-3-031-21161-4_53
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