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e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Real-Time Tracking Method of Students’ Targets in Wushu Distance Teaching Based on Deep Learning

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_53,
        author={Jie Zhang and Na Ma},
        title={Real-Time Tracking Method of Students’ Targets in Wushu Distance Teaching Based on Deep Learning},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Deep learning Wushu Distance teaching Goal Real-Time tracking},
        doi={10.1007/978-3-031-21161-4_53}
    }
    
  • Jie Zhang
    Na Ma
    Year: 2023
    Real-Time Tracking Method of Students’ Targets in Wushu Distance Teaching Based on Deep Learning
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_53
Jie Zhang1,*, Na Ma2
  • 1: Shaanxi University of Chinese Medicine
  • 2: Sports Department, Tianjin Foreign Studies University
*Contact email: zhaoliangyuan526@sina.com

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.

Keywords
Deep learning Wushu Distance teaching Goal Real-Time tracking
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_53
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