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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Physical Movement Monitoring Method of College Physical Education Students Based on Genetic Algorithm

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_21,
        author={Daoyong Pan and Wei He},
        title={Physical Movement Monitoring Method of College Physical Education Students Based on Genetic Algorithm},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Genetic algorithm College physical education Physical movement monitoring},
        doi={10.1007/978-3-031-28787-9_21}
    }
    
  • Daoyong Pan
    Wei He
    Year: 2023
    Physical Movement Monitoring Method of College Physical Education Students Based on Genetic Algorithm
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_21
Daoyong Pan1,*, Wei He2
  • 1: Sports Institute, Kashi University
  • 2: Hunan Vocational Institute of Technology
*Contact email: ppandeng789@163.com

Abstract

In order to better improve the physical fitness and comprehensive quality of college physical education students, this paper puts forward the physical fitness mobile monitoring method of college physical education students based on genetic algorithm, constructs the physical fitness evaluation index of college physical education students combined with genetic algorithm, optimizes the physical fitness monitoring management algorithm of College physical education students, optimizes the physical fitness mobile monitoring equipment of college physical education students, and simplifies the monitoring process, improve the physical fitness monitoring accuracy of college physical education students. Finally, the experiment proves that the physical fitness movement monitoring method of college physical education students based on genetic algorithm has high practicability and fully meets the research requirements.

Keywords
Genetic algorithm College physical education Physical movement monitoring
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_21
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