野球競技における打球音を用いた打球弾道の判別

抄録

In sports, various sounds are generated, such as the shouts of players, footsteps, and the sound of hitting the ball with a racket. In the sound of a bat hitting, differences in the intensity and pitch of the sound also appear with each batting. This paper describes an investigation and analysis of the relationship between the sound of a bat hitting and ball trajectory in baseball. In the experiments, datasets of the bat hitting sounds were constructed, and these hitting sounds were analyzed. Bat hitting sounds were recorded using a 32-bit float recording that enables recording without clipping. A total of 996 bat hitting sounds were recorded, and three types of datasets were constructed. Moreover, the ball trajectories were discriminated from a ball hitting sound using a support vector machine (SVM). In an experiment to discriminate three types of ball trajectories using SVM, an average correct rate was up to 48.4 %. The results suggest that it is possible to discriminate the ball trajectory from a bat hitting sound.