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ERIC Number: EJ830084
Record Type: Journal
Publication Date: 2009-Mar
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1464-7893
EISSN: N/A
Feasibility Study for Ballet E-Learning: Automatic Composition System for Ballet "Enchainement" with Online 3D Motion Data Archive
Umino, Bin; Longstaff, Jeffrey Scott; Soga, Asako
Research in Dance Education, v10 n1 p17-32 Mar 2009
This paper reports on "Web3D dance composer" for ballet e-learning. Elementary "petit allegro" ballet steps were enumerated in collaboration with ballet teachers, digitally acquired through 3D motion capture systems, and categorised into families and sub-families. Digital data was manipulated into virtual reality modelling language (VRML) and fit to an animated dancer. Movements were segmented and stored in the motion data archive to be freely combinable in sequences by an algorithm for automatic generation of "enchainement" conforming to principles of balletic aesthetics. An online interface was created containing controls for automatic composition and the 3D display. In an assessment of the system by expert ballet teachers only 8% of automatically generated "enchainements" were inappropriate for ballet lessons, with 65% appropriate for elementary level and 75% rated as danceable by elementary level students. Interviews revealed that the system provided a creative resource for new "enchainements" usable in ballet education by teachers and students. (Contains 3 figures, 2 tables and 5 notes.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A