DocumentCode :
652061
Title :
Generating Labanotation from Motion Capture Data
Author :
Hao Chen ; Zhenjiang Miao ; Feiyue Zhu ; Gang Zhang ; Song Li
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
fYear :
2013
fDate :
16-18 Sept. 2013
Firstpage :
222
Lastpage :
223
Abstract :
Labanotation is widely known in the world and it can be used in recording human body movement. However, because of its complicated format, it is very difficult to record Labanotation manually. Therefore, the goal of our research is to create a system to generate Labanotation automatically and use this system to record various dances. By using a motion capture system, we can acquire accurate data of each joint. The data is saved in BVH (Bio-vision Hierarchical data) file. In this paper, we present a method that using BVH files as initial data to generate dance score which is outputted in the form of Labanotation.
Keywords :
humanities; BVH files; automatic Labanotation generation; bio-vision hierarchical data file; dance recording; dance score generation; human body movement recording; joint data; motion capture system data; Art; Conferences; Educational institutions; Joints; Shoulder; Wrist; Labanotation; dance score; human body motion; motion capture data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Culture and Computing (Culture Computing), 2013 International Conference on
Conference_Location :
Kyoto
Type :
conf
DOI :
10.1109/CultureComputing.2013.75
Filename :
6680389
Link To Document :
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