z-logo
open-access-imgOpen Access
[Retracted] Application Practice Analysis of Ice and Snow Sports Training Assistance System Based on Internet of Things
Author(s) -
Ping Zhang,
Juntao Sun
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/7548850
Subject(s) - computer science , sports science , training (meteorology) , athletes , training system , sensitivity (control systems) , the internet , simulation , multimedia , personality psychology , artificial intelligence , engineering management , psychology , world wide web , engineering , personality , meteorology , physical therapy , medicine , physiology , physics , economics , biology , electronic engineering , economic growth , social psychology
Teachers play an essential role in physical culture, and they are not only responsible for analysis and guidance but also responsible for formulating specific training methods and training rhythms according to athletes’ personalities. Computer technology has developed rapidly into the 21st century. In sports training, some researchers have also started to analyze and generalize physical activity and movement patterns using IoT technology. Not only can it analyze the rules of specific sports science, but it can also use computers to intentionally infiltrate sports facilities to provide advanced technical support to effectively improve training and science. In this article, IoT technology is introduced to study the auxiliary system for ice and snow sports training. Before designing the system, this paper plans the system architecture in detail, including the principle of stability, the simplicity and practicality, and the principle of low price. Using this auxiliary system, the sensitivity of the lower limbs of ice and snow athletes was trained in this paper. The sensitivity scores of 5 athletes before the experiment were 50, 54, 49, 38, and 35, and the scores after the experiment were 32, 26, 31, 35, and 30, and the sensitivity was significantly improved.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom