Affiliation:
1. Institute of Physical Education and Health, Yulin Normal University, Yulin 537000, China
Abstract
To maintain an advantage in the development of competitive sports, a country should explore the gap between Taekwondo athletes and other elite athletes. By comparing and analyzing to find out the reasons, it can create favorable conditions for the project and strive for greater advantages, which is the top priority for the project to develop. The purpose of this paper is to use the intelligent Internet of Things technology to analyze the factors affecting the competitive ability of Taekwondo athletes. Aiming at the competitive ability of Taekwondo, it analyzes the three aspects of psychological ability, technical ability, and tactical ability to construct a model of Taekwondo athletes’ competitive ability. And for the indicators in the model, the intelligent Internet of Things technology is used to detect them in real time to achieve the best model construction effect. The experiment of this paper found that the competitive ability model of Taekwondo athletes’ combining psychological ability, technical ability, and tactical ability is relatively successful. The Taekwondo competitive ability of athletes based on model analysis is almost the same as the competitive ability scored by experts, and the error is within 5%. It shows that psychological ability, tactical ability, and technical ability have important influence on the competitive ability of Taekwondo.
Subject
Computer Science Applications,Software