Evaluation of martial arts demonstration focusing on motion timing using acceleration data

Abstract

In martial arts such as taekwondo, it is important to know one’s own skill level in order to improve. In this study, we propose a method to evaluate the performance of taekwondo, attaching a smartphone with the waist and collect acceleration data. In martial arts, including taekwondo, when a martial artist stops moving, he or she instantly holds the entire body still. The acceleration data shows a peak at the moment of this stillness. If the timing of this peak is the same in all three axes, the fighter is considered to be more skilled.In this paper, We use the difference in the timing of the three axes to calculate the feature value, and decision trees create to evaluate the movement from the acceleration data using these features as explanatory variables. We evaluated the effectiveness of decision trees and confirmed these accuracy.