Early Warning System of Tennis Sports Injury Risk Based on Mobile Computing

Abstract

In recent years, sports injuries in professional tennis players have gradually increased and sports injuries will break the sports training system and affect the long-term growth of new tennis players. Avoiding athlete injuries has become an important factor in improving training quality and game performance and ensuring the sustainable development of young tennis players’ competitiveness. Therefore, this article will use the RBF neural network algorithm and cluster analysis method to establish a tennis sports injury risk early warning model and finally establish a tennis sports injury risk early warning system so that tennis players can reduce their injuries. In this article, we use the questionnaire survey method, expert interview method, mathematical statistics method, and logical analysis method to investigate and analyze the results of training injuries of Chinese tennis players and coaches. The experimental results in this article show that among 48 tennis players of different ages, who are participating in formal training and tennis competitions, 15 young tennis players have been injured more than 6 times, accounting for 31.2% of the total; 20 have been injured 3 to 6 times, accounting for 41.7% of the total; 9 of them have been injured several times, accounting for 18.8% of the total; and 4 have been injured, accounting for 8.3% of the total. After using the tennis sports injury risk warning system based on the algorithm of RBF neural network in mobile computing, the tennis sports injury rate has dropped to 5%. It can be seen that the system has high feasibility and practicability.

Feasibility Study of Mass Sports Fitness Program Based on Neural Network Algorithm

“…After improving our understanding of fitness knowledge, we should change our physical exercise behavior, so as to improve our physical quality and health. Based on the theory of health literacy, this paper constructs a mass fitness model [ 20 , 21 ]. The model is checked and revised by questionnaire and physical fitness test data, which accord with the confirmatory factor analysis in structural equation model.…”

“…After improving our understanding of fitness knowledge, we should change our physical exercise behavior, so as to improve our physical quality and health. Based on the theory of health literacy, this paper constructs a mass fitness model [20,21].…”

Motion Control Analysis of Tennis Robot Based on Ant Colony Algorithm

“…In Li et al's project, the vision system uses ultrasonic ranging technology to find the landing tennis ball and adds infrared ranging sensors to the ultrasonic ranging system to guide the robot. Through the control system, the robot moves to the specified position and realizes the action of picking up the ball [8]. Ganser et al proposed an embedded intelligent ball-picking car, and the scheme uses color and shape recognition algorithm, combined with PID control algorithm, respectively, using motor drive car body movement and steering gear control car ball-picking action, to achieve the function of picking up tennis balls [9,10].…”

Artificial Intelligence and Big Data-Based Injury Risk Assessment System for Sports Training

“…rough sports training, we can e ectively improve the sport's ability of everyone [1]. In the organization of sports training, it is necessary to carry out sports training injury risk assessment and decision making, construct a decision model for sports training injury risk, adopt the fuzzy degree feature analysis method, and carry out sports training injury risk prediction, and the related research on sports training injury risk assessment and decision-making methods has received great attention [2].…”