Cui Yingmin, Zhou Changlei
School of Physical Education, Hangzhou Normal University, Hangzhou, 311121 Zhejiang, China.
College of Sports and Health, Linyi University, Linyi, 276000 Shandong, China.
Appl Bionics Biomech. 2022 Apr 22;2022:7625626. doi: 10.1155/2022/7625626. eCollection 2022.
The Internet of Things is an important link in the future development of the Internet and will have a significant impact on development over the next five years or so. The purpose of this article is to learn how to use the Internet of Things to learn and practice table tennis and find new ways to integrate table tennis and the internet. This article proposes to build a detection system for IoT sensors and collect information about the ball's movement state and the athlete's movement state during table tennis. Through data analysis, we better guide athletes to develop table tennis training. At the same time, it also uses knowledge innovation to integrate the Internet of Things with the reality of life and better derive the development of the Internet of Things artificial intelligence. Based on this, this paper designs the construction of IoT sensors to collect the sports status of table tennis enthusiasts and verify the sports experience of table tennis enthusiasts by comparing factors such as physical training, basic skills and mobile training, interest, and confidence. The experimental results of this article show that the Internet of Things artificial intelligence has great potential, and it can innovatively promote industrial change. It better realizes the teaching and training of table tennis players and improves the teaching and training ability of table tennis by 20%.
物联网是互联网未来发展的重要环节，在未来五年左右的时间里将对发展产生重大影响。本文旨在探讨如何利用物联网来学习和练习乒乓球，并寻找乒乓球与互联网融合的新途径。本文提出构建一个物联网传感器检测系统，收集乒乓球运动过程中球的运动状态和运动员的运动状态信息。通过数据分析，更好地指导运动员进行乒乓球训练。同时，还利用知识创新将物联网与现实生活相结合，更好地推动物联网人工智能的发展。基于此，本文设计构建物联网传感器来收集乒乓球爱好者的运动状态，并通过比较体能训练、基本技能与移动训练、兴趣和信心等因素来验证乒乓球爱好者的运动体验。本文的实验结果表明，物联网人工智能具有巨大潜力，能够创新性地推动产业变革。它更好地实现了乒乓球运动员的教学与训练，使乒乓球教学与训练能力提高了20%。
