Abstract
When producing the animation of a body motion from the dance notation, the dance knowledge is a key for accomplishing high-quality movement. This knowledge enables the dancer to know how to perform the correct movement from a movement notation score. This paper presents an approach for automatically simulating a CG animation from Labanotation scores. We achieve this goal by the integration of a CG animation with a dance-style interpretation module which is called an autonomous dance avatar. In our experiment, we implemented an autonomous dance avatar to perform Japanese stylized traditional dance Noh plays. The result shows that the autonomous dance avatar can reproduce Noh play satisfactory from Labanotation after it has been trained with the style of Noh play.
