Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
Automatic Labanotation Generation Based on Human Motion Capture Data
verfasst von : Hao Guo, Zhenjiang Miao, Feiyue Zhu, Gang Zhang, Song Li
Erschienen in: Pattern Recognition
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
As a kind of dance notation, Labanotation has been adopted extensively as an analysis and record system for performing dances. This article aims to generate Labanotation automatically from human motion capture data stored in BVH (Bio-vision Hierarchy) files. First, we convert motion capture data into position format. Then we analyze motions separately according to whether the motion belongs to supporting motion or not. Using the obtained Primary Motion Segments, a sequence of coded description of Labanotation - the Labanotation Data (LND) - is built. And finally, Labanotation is drawn and stored correctly on the basis of LND.