Data collection of safety accidents in sports training of athletes with Internet of Things technology

Author:

Wang Zhiping1,Zheng Xinxin2,Yang Zhichen1

Affiliation:

1. Sports Department, Northeastern University of Qinhuangdao, Qinhuangdao, Hebei, China

2. Sports Department, Hebei Institute of International Business and Economics, Qinhuangdao, Hebei, China

Abstract

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference20 articles.

1. Research on the Application of Internet of Things Technology to Digital Museum Construction;Zhao-Hui;Acta Geoscientica Sinica,2017

2. Training the Gut for Athletes;Jeukendrup;Sports Medicine,2017

3. The improvement of suspension training for trunk muscle power in Sanda athletes;Ma;Journal of exercise science and fitness (JESF),2017

4. Implications for Training in Youth: Is Specialization Benefiting Kids?;Sugimoto;Strength & Conditioning Journal,2017

5. Can we limit training days lost due to osgood schlatters disease in junior squash athletes?;Horobeanu;British Journal of Sports Medicine,2017

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