Abstract
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.
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Guo, H., Miao, Z., Zhu, F., Zhang, G., Li, S. (2014). Automatic Labanotation Generation Based on Human Motion Capture Data. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45646-0_44
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DOI: https://doi.org/10.1007/978-3-662-45646-0_44
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