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.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Pan, D., He, W. (2023). Physical Movement Monitoring Method of College Physical Education Students Based on Genetic Algorithm. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_21
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DOI: https://doi.org/10.1007/978-3-031-28787-9_21
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