The purpose of this study is to develop the new system that can predict both the ball-speed and the throwing shoulder injury easily and can simulate pitching motion for the high-speed ball and the prevention against injury efficiently. The subjects were asymptomatic 11 adult baseball players who took part in both MRI and pitching motion analysis, (total 358 trials) We made the database composed of the data of joint angles, findings of MRI and ball-speed. We analyzed the database with principal component analysis and classified the motion patterns into the principal component scores. Then we made the simulation system using principal component score and optimization theory. We could predict the lesion existence and ball-speed with high accuracy. We can make the new pitching motion easily while we operate the parameters of principal component scores referring to the prediction value. We can express the new motion with 3D animations.
The Proceedings of Joint Symposium: Symposium on Sports Engineering, Symposium on Human Dynamics
