Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : November 12, 2021 - November 14, 2021
The University Sports Association will be established in 2019, and the competitive power of university sports is expected to be further improved. In particular, volleyball is expected to win a medal in the Olympic Games, and research to improve its technical performance is being actively conducted. In volleyball, it is necessary to quickly position oneself at the point where the ball falls and to block the opponent's spikes. However, it is difficult to predict the play in advance. In this study, We use deep learning to analyze game footage to predict the course of spikes and the optimal blocker and receiver positions according to the game situation and team, and verify plays that directly lead to scoring.
The Proceedings of Joint Symposium: Symposium on Sports Engineering, Symposium on Human Dynamics
