A Development of Learning System for Sport Form Using Visualization of Biophysical Information

Abstract

In learning of the correct movement in sport, which is necessary for the improvement of skill acquiring, both the correct positioning of the body and muscular activities are important. However, conventional VR-based learning systems lack representation for intensities and/or timing of muscular activities. This paper proposes a system for form measurement/learning which visualizes muscular activities derived from Electromyographic(EMG) data. The fundamental experiment examined analysis method for muscular intensity, and performed visualization in CG avator.