Research on Intangible Cultural Heritage Based on Motion Capture

Article Preview

Abstract:

The application of digital technology on the protection of intangible cultural heritage is a major topic of research in recent years. The motion capture technology of protection will gradually replace the traditional recording methods such as texts, pictures and videos. It is valuable to build a high-fidelity, high-modular and low-cost digital platform for choreographic data collection and extended application. This paper studies the intangible cultural heritage of Quanzhou breast-clapping dance, one of the most famous choreographic intangible cultural heritages from China with standard optical motion capture method. The data are acquiring and processing after the dance motion capture, we binds the motion data and three-dimensional model using Motion Builder and build digital demonstration platform base on an OGRE engine to display the movements. The viewer can view at any angle and distance. The system can be easily applied in motion intangible cultural heritages protection project. Furthermore, the system can be provided versatile motion data for additional use.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

676-680

Citation:

Online since:

June 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] C. Busso, M. Bulut, Chi-Chun Lee, Abe Kazemzadeh, IEMOCAP: Interactive emotional dyadic motion capture database,J. Language Resources and Evaluation. 42(2008) 335-359.

DOI: 10.1007/s10579-008-9076-6

Google Scholar

[2] Chuanjun Li, Punit R. Kulkarni, B. Prabhakaran, Segmentation and recognition of motion capture datastream by classification,J. Multimedia tools and applications. 35(2007)55–70.

DOI: 10.1007/s11042-007-0119-6

Google Scholar

[3] A Cloutier, R Boothby, JJ Yang, Motion Capture Experiments for ValidatingOptimization-Based Human Models,J. Digital Human Modeling. 6777(2011)59-68.

Google Scholar

[4] C Canton-Ferrer, JR Casas, M Pardàs, Marker-based human motion capture in multiview sequences,J. EURASIP Journal on Advances in Signal Processing. 11(2010)45-49.

DOI: 10.1155/2010/105476

Google Scholar

[5] B. -S. Huang, F. -M. Chen, J. -J. Zhang, Sequence Frame-based Optical Motion Capture System and its Realization,J. Journal of Tongji University. 17(2004)36-39.

Google Scholar

[6] G. -S. Li, The Design and Realization of Online Game Client Interface based on Object-oriented Graphics Rendering Engine(OGRE), in: Chen Lin (Eds. ), chapter, 5, ZhongShanUniversity Publishers., ZhongShan, 2008, PP. 245-287.

Google Scholar

[7] P. Gerus, G. Rao, E. Berton, A method to characterize in vivo tendon force–strain relationship by combining ultrasonography, motion capture and loading rates,J. Journal of Biomechanics. 44(2011)2333-2336.

DOI: 10.1016/j.jbiomech.2011.05.021

Google Scholar

[8] A. L. Miller, A new method for synchronization of motion capture and plantar pressure data,J. Gait & Posture. 32 (2009)279-281.

DOI: 10.1016/j.gaitpost.2010.04.012

Google Scholar