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SESSIONS Computer interpretation of Labanotation within Graphical dance notation scores. by Matthew Gough, UK Paper This paper proposes a computer based method for the editing and animation of Labanotation symbols within the context of graphical dance notation. Analogous to graphical music notation, graphical dance notation requires the interpretation and transformation of abstract marks into human movement. When concrete descriptions of movement are desired Labanotation, or score specific abstractions may be used within the graphical notation.  We are developing a system that will interpret and pre visualise multi-modal graphical movement notation with an 'improvising' digital dancer. Each 'performance' will be a unique interpretation guided by the marks, abstractions and symbols found within the score. The graphical scores are produced in a 'sketching' interface (as opposed to 'drag and drop') that combines perceptual and recognitive analysis to discern abstract mark making from symbolic notation. Labanotation symbols for the nine basic directions at low, middle and high levels are supported within the recognition and interpretation process. The perception / recognition solution developed for this application could be extended to generate Labanotation 'interlingua' in order to simplify the creation of digitized Labanotation scores from existing paper scores. Matthew Gough is a Ph.D. student in the School of Computing Science at the University of East Anglia. A practising dance artist, his research is situated on the interface between art and science, and concerns the development of an esoteric, avatar scripting notation. Matthew holds a Master of Arts in Contemporary dance performance.
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