4.3 Article

Correlation analysis of structural characteristics of table tennis players' hitting movements and hitting effects based on data analysis

期刊

ENTERTAINMENT COMPUTING
卷 48, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.entcom.2023.100610

关键词

Table tennis player; Hitting action; Hitting effect; ARCS model optimization

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The increase in table tennis ball size and the decrease in ball speed and rotation speed have posed new challenges to the body strength and hitting action stability of table tennis players. Improving body strength can enhance ball rotation speed, stability, and accuracy. Basic skills training has played a positive role in table tennis.
The increase in table tennis ball size and the decrease in table tennis ball speed and rotation speed in recent years have brought new challenges to the body strength of table tennis players and put new tests on the physical fitness and stability of the hitting action of the players. Improving the body strength can accelerate the rotation speed of the ball, improve the body quality and stability, and improve the accuracy of the ball. Basic skills training is a new method of modern sports training. After scientists studied it, they played a positive role in table tennis. The purpose of the paper is to discuss the impact of table tennis basic skills training, provide more space for the development of physical fitness training, provide the best training tools, and provide ways to improve the impact of hitting. The purpose of this document is to use the sports capture system to collect data from the structural characteristics of table tennis players, analyze the impact of various structural characteristics of the ball, and analyze the impact of various factors affecting table tennis players. In the process of a table tennis player's frontal downward spin stroke, the structure types of the player's frontal downward spin stroke were divided into two types: fast type and slow type according to the different lengths of the three stages of the player's stroke action. The experimental results proved that the optimized model applied to the correlation analysis between the structural characteristics of the stroke action and the stroke effect was stronger, and the accuracy was improved by nearly 5%, achieving the hypothesized goal.

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