Visualization of the Repetitive Practice of Dance Motion: Case Study with Multiple Genres of Dance

With the enhancement of relatively inexpensive human motion capture technology using cameras and infrared sensors, the measurement of human body motion has been easier and its applications have expanded dramatically. We are using this technology to develop a visualization system for the assistance of dance skill improvement by visualizing differences and changes in the motions of novice dancers while theur repetitive practice of the same dance. This system applies a body size correction between the dancer and the instructor, a time correction that aligns the timing of the motions, and a spatial correction that aligns the dancer's position and body orientation. The system then applies a clustering process is to the body parts, and visualizes the clustering results. Users can then select multiple arbitrary motions and animate them to check the differences and changes in the dancer's motions. This paper firstly presents the processing flow and functions of the visualization system, and then introduces the results of the motion data of three novice dancers in three different dance genres to verify the effectiveness of this method.