Special Section on Image Processing for Cultural Heritage

Using automatic generation of Labanotation to protect folk dance

[+] Author Affiliations
Jiaji Wang, Zhenjiang Miao, Ziming Zhou

Beijing Jiaotong University, School of Computer and Information Technology, Institute of Information Science, Haidian District, Beijing, China

Hao Guo

University of South Carolina, Computer Vision Lab, Department of Computer Science and Engineering, 3A19 Swearingen Engineering Center, Columbia, South Carolina 29208, United States

Hao Wu

Beijing Normal University, College of Information Science and Technology, Haidian District, Beijing, China

J. Electron. Imaging. 26(1), 011028 (Feb 10, 2017). doi:10.1117/1.JEI.26.1.011028
History: Received June 17, 2016; Accepted January 16, 2017
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Abstract.  Labanotation uses symbols to describe human motion and is an effective means of protecting folk dance. We use motion capture data to automatically generate Labanotation. First, we convert the motion capture data of the biovision hierarchy file into three-dimensional coordinate data. Second, we divide human motion into element movements. Finally, we analyze each movement and find the corresponding notation. Our work has been supervised by an expert in Labanotation to ensure the correctness of the results. At present, the work deals with a subset of symbols in Labanotation that correspond to several basic movements. Labanotation contains many symbols and several new symbols may be introduced for improvement in the future. We will refine our work to handle more symbols. The automatic generation of Labanotation can greatly improve the work efficiency of documenting movements. Thus, our work will significantly contribute to the protection of folk dance and other action arts.

© 2017 SPIE and IS&T

Citation

Jiaji Wang ; Zhenjiang Miao ; Hao Guo ; Ziming Zhou and Hao Wu
"Using automatic generation of Labanotation to protect folk dance", J. Electron. Imaging. 26(1), 011028 (Feb 10, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.1.011028


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