Qing Heqin, Liu Bowen
Department of Sport, Taiyuan Normal University, Jinzhong, 030619 Shaanxi, China.
Department of Physical Education, Bengbu College of Technology and Business, Bengbu, 233000 Anhui, China.
Appl Bionics Biomech. 2022 May 2;2022:6730282. doi: 10.1155/2022/6730282. eCollection 2022.
The traditional physical education teaching model in colleges and universities is basically based on "teaching" to teach learning, to cultivate the knowledge and skills of college students, and to master some scientific physical exercise methods and skills. This article was aimed at conducting research based on the practice of 5G technology to help physical exercise development and physical education training. This article first discusses the importance of outreach training in physical education. It is feasible to implement expansion training in physical education, and it can have a profound impact. It can have a great impact on students' personality, psychology, and work attitude and will greatly help them enter the society in the future. At the same time, this article introduces the human movement data monitoring method based on 5G technology. It expounds on the two aspects of human body posture description method and exercise data parameter calculation and analyzes and discusses the exercise time, exercise frequency, exercise intensity, exercise items, and exercise persistence of college students of different genders, disciplines, and grades. The results of the study show that the proportion of college students who take part in physical exercise every time "within 0.5 hours" is the highest, which is 40% of the total sample size. The option of "1.5 hours or more" is the least, only 11% of the total number of people. There is a significant difference between the two, indicating that college students should strengthen physical exercise.
高校传统体育教学模式基本是以“教”代学,培养大学生的知识与技能,掌握一些科学的体育锻炼方法和技巧。本文旨在基于5G技术的实践开展研究,助力体育锻炼发展和体育教育培训。本文首先论述了拓展训练在体育教学中的重要性。在体育教学中实施拓展训练是可行的,且能产生深远影响。它能对学生的性格、心理以及工作态度产生巨大影响,并将极大地帮助他们未来步入社会。同时,本文介绍了基于5G技术的人体运动数据监测方法。阐述了人体姿态描述方法和运动数据参数计算这两个方面,并对不同性别、学科和年级的大学生的运动时间、运动频率、运动强度、运动项目和运动持续性进行了分析和探讨。研究结果表明,每次参加体育锻炼“0.5小时以内”的大学生比例最高,占总样本量的40%。“1.5小时及以上”的选项最少,仅占总人数的11%。两者之间存在显著差异,表明大学生应加强体育锻炼。