Research on Real-Time Monitoring Method of Physical Training Health Load Data Based on Machine Learning

被引:0
|
作者
Yang X. [1 ]
Zhao W. [1 ]
机构
[1] Department of Physical Education and Research, China University of Mining and Technology-Beijing, Beijing
来源
关键词
Health exercise; Load data; Machine learning; Physical training; Real time monitoring;
D O I
10.14733/cadaps.2024.S9.177-185
中图分类号
学科分类号
摘要
At this stage, the people are facing a general decline in physical fitness. Physical fitness training has become an upsurge of the whole people, but physical fitness training also needs to be scientific. One of its important contents is to monitor the exercise load of physical fitness training. The rapid update of real-time load monitoring methods is continuously promoting the continuous improvement of competitive sports. This study studies and compares the real-time monitoring system of physical training health load data through traditional monitoring methods and monitoring methods based on machine learning, and analyzes that the real-time monitoring system of physical training load data using monitoring methods based on machine learning can more accurately solve various practical problems in the process of mass fitness, The integration and development of machine learning technology for load monitoring methods can promote the transformation and innovation of physical training monitoring more quickly. © 2024 U-turn Press LLC.
引用
收藏
页码:177 / 185
页数:8
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