Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
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.