Biomechanical analysis of pace adjustment in table tennis players combined with image recognition technology

Abstract

In this paper, we first preprocess the sample images of table tennis player’s pace, and under the theory of sports biomechanics, we propose to use the IDTW algorithm (Improved Dynamic Time Warping Algorithm) to extract the features in the sample images, which mainly contain biomechanical parameters such as acceleration and angular velocity. By describing the basic pace of table tennis technology, the image segmentation principle in image recognition technology is utilized to construct the controlled pace reduction algorithm. Combining the actual sports image recognition and biomechanical analysis, we explore the pace adjustment of table tennis players supported by intelligent technology. The IDTW algorithm has a better accuracy in recognizing the pace of table tennis players, and its overall recognition accuracy is 92.00%. The value of acceleration change in the swing and follow-through phase is 1.1 m/s2, while the value of acceleration change in this phase is only 0.069 m/s2 for beginner table tennis players, which indicates that the beginner players do not control the power in the process of pacing action, resulting in the acceleration change of the right hip point in the Y-direction of the lead-in phase and swinging and follow-through phases is too small. This study provides a theoretical guidance value for the intelligent development of table tennis pace movement adjustment.