Human Motion Matching for Assisting Standard Thai Folk Dance Learning
Motion capture techniques are a well-known method for digitizing body movement. They are used in entertainment, sport, medical application and education. The main process of the application is motion matching by using discrete motion samples, which represent body postures, to compare an aggregate distance metric between the two postures. In this work, we introduce a motion evaluation of standard Thai folk dance. The users’ performances are captured and subsequently compared to the dance movements’ example. Our method selected to capture the moment with the sound of a musical instrument is called Ching, a small cup-shaped cymbal emitting Ching-Chub sounds. We use the angular difference between respective joint pairs. The system will evaluate performance by converting the acceptable postures to a percentage score. The application was tested by the twenty elementary students. The accuracy was evaluated by three experts and received 81.66%. Moreover, the teachers and students feel satisfied with this system in the dance class. The application can help students to develop the dance skills by themselves.