Research on Table Tennis Techniques and Tactics Based on Algorithmic Analysis of Gaze Big Data

Abstract:
For athletes, it is important and difficult to use favorable techniques and tactics in the competition, in which the use of gaze is a very important technique and tactics. In this regard, this paper studies the influence of the gaze behavior characteristics of table tennis players on the service effect through gaze big data, which refers to the use of a large amount of gaze data for data analysis. The experiment classifies the match video data according to the serve effect gain and loss, and implements realize the left eye turn algorithm, the judgment blink algorithm, and the gaze residence algorithm for recognition. Then the experiments design the relationship model of technical tactics and serve effect, and apply the statistical model to correlate and analyze them. The experimental results show that the use of gaze in the service stage can greatly improve the service effect, and this experiment can provide strong data theoretical support for the State General Administration of Sport and table tennis players to use techniques and tactics.