| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 4 | |
| Section | Network Security System, Neural Network and Data Information | |
| DOI | https://doi.org/10.1051/matecconf/201823201026 | |
| Published online | 19 November 2018 | |
Design and implementation of Peking Opera action scoring system based on human skeleton information
1
Shanghai Film Academy, Shanghai University, Shanghai 200072 P.R. China
2
Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai University, Shanghai 200072 P.R. China
* Corresponding author: aHang Zhao: 18621621921@163.com
At present, most of the preservation records of Peking Opera remain in the ways of video and text, and the digitalization degree is far lower than the development level of science and technology. The immaterial cultural heritage cannot be fully displayed and Peking Opera’s value is weakened. Therefore, adopting advanced motion capture technology is of great significance to the protection and inheritance of Peking Opera. We use optical motion capture equipment to record the movement information of Peking Opera actors, then keep the human skeleton information in a specific file format. After that, the hierarchical human action skeleton model was analysed, and the final score was obtained by comparing the change sequence of information of reference action and training action skeleton with the improved DTW algorithm. We have realized the graphical interface of the system, and the trainer can easily select the action segments to train or select a specific body part for specific action training. This paper introduces the overall design framework of our Peking Opera action scoring system, including the collection of action information, the implementation of scoring algorithm and the design of software interface.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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