[4K3-GS-3] Data mining: User aid

[4K3-GS-3-03] Analyzing the relationship between tennis swing features and the shot quality using 6-axis sensor.

Toward a tennis training support system.

〇Shuto Ohshima¹, Shohei Kato^2,3, Takuto Sakuma² (1. Creative Engineering Program, Dept. of Engineering, Graduate School of Engineering, Nagoya Institute of Technology, 2. Computer Science Program, Dept. of Engineering, Graduate School of Engineering, Nagoya Institute of Technology, 3. Frontier Research Institute for Information Science, Nagoya Institute of Technology)

Keywords:Tennis training support system, 6-axis sensor, Swing features, Shot quality, Correlation analysis

We are developing a training support system that can advise the user on the problem in the swing by measuring the swing motion. In this article, we propose 7 features that focus on racket rotation, speed, timing, and ball rotation, which are considered to be effective for evaluating swing forms using 6-axis sensors. Also, to evaluate the usefulness of the features, we measured the swing motion from tennis players of various levels with a racket equipped with sensors. And we analyze and evaluate the correlation between the amount of tennis experience and the extracted features. As a result, there was a correlation between the two, it is suggested that the features proposed in this paper may be useful in evaluating swing. To confirm its usefulness, we analyze and evaluate the correlation between the quality of the shot based on the control and the ball speed, and the extracted features.