Application of 5G Internet of Things Technology in the Design of Physical Education Platform

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Abstract

The traditional college physical education platform can only assist classroom teaching and cannot collect classroom teaching activity data in real time, and its role is very limited. With the rapid development of information technology, China's mobile communication has entered the 5G era and the Internet of Things technology will be more widely used and developed. This paper focuses on the integration technology of 5G and the Internet of Things, analyzes the current situation of the construction of the physical education platform in colleges and universities, and proposes the application of the 5G-based Internet of Things technology in the physical education platform. At the same time, the research of this paper is oriented to real-time physical education activities, using the Internet of Things technology and wireless network technology, combined with the traditional campus network and IT information technology means, to propose a new, dynamic, and open sports network teaching platform design. Activity data collection, analysis, modeling, mining, display, feedback, self-improvement, etc. are expounded. At the same time, the realization technology of the model is discussed, and the experimental design of the combination of the platform and volleyball sports teaching is carried out. The experiment shows that through the platform, simulation can better promote students' understanding, mastery, and application of basic techniques such as passing, padding, and serving. The research results show that the platform can make the teaching content intuitive and collect teaching activity data in real time. The interaction between students is helpful for teachers to strengthen the guidance of students' learning process and improve the quality of physical education in higher vocational education.

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APA

Wang, J. (2022). Application of 5G Internet of Things Technology in the Design of Physical Education Platform. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/9382048

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