A Consideration on Table Tennis Technique Evaluation Using Motion Analysis Model by TAM Network

Abstract

In this paper, we discuss table tennis technique evaluation using motion analysis model by TAM networks and data mining methods. For students of university, we recorded the continuous forehand stroke of the table tennis in the video frames, and analyzed the trajectory pattern of nine marking points attached at subject's body with a coach's technique evaluation and the motion analysis model. As a result, we obtained embodied knowledge classified member of table tennis club, middle level player and beginner as fuzzy rules, and also estimated the movement of the marking points to improve in table tennis technique.