GENERATING STYLIZED DANCE MOTION FROM LABANOTATION BY USING AN AUTONOMOUS DANCE AVATAR

AUTHORS: Worawat Choensawat and Kozaburo Hachimura

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 and it is called an autonomous dance avatar. In our experiment, we implemented an autonomous dance avatar to perform a Japanese stylized traditional dance such as Noh-Plays. The result shows that the autonomous dance avatar can reproduce

Noh-Play correctly from Labanotation after it has been trained with the Noh-Play knowledge. 

Keywords: Dance Notation, LabanEditor, 3D CG Animation, Associate Memory, Knowledge-based Systems

SOURCE: Choensawat, Worawat, and Kozaburo Hachimura. "Generating Stylized Dance Motion from Labanotation by using an Autonomous Dance Avatar." GRAPP/IVAPP. 2012.

LINK: http://mit.itu.bu.ac.th/publications/GRAPP2012.pdf

REFERENCES: 

MLA		Choensawat, Worawat, and Kozaburo Hachimura. "Generating Stylized Dance Motion from Labanotation by using an Autonomous Dance Avatar." GRAPP/IVAPP. 2012.
APA		Choensawat, W., & Hachimura, K. (2012). Generating Stylized Dance Motion from Labanotation by using an Autonomous Dance Avatar. In GRAPP/IVAPP (pp. 535-542).
ISO 690		CHOENSAWAT, Worawat; HACHIMURA, Kozaburo. Generating Stylized Dance Motion from Labanotation by using an Autonomous Dance Avatar. In: GRAPP/IVAPP. 2012. p. 535-542.