@inproceedings{5148,
  keywords = {Automatic segmentation, Automatic segmentation techniques, Automatic segmentations, Dimensionality reduction, Engineering, Geometric feature, Industrial engineering, Intangible cultural heritages, Motion analysis, Motion capture, Motion capture data, Quan-Zhou chest-clapping dance},
  author = {S.-X. Chen and J.-W. Li and J.-D. Lin},
  title = {Automatic segmentation of motion capture data of Quan-Zhou chest-clapping dance},
  abstract = {Quan-zhou chest-clapping dance is one of the national intangible cultural heritages of China, and the motion capture technique is an important method to realize its protection and inheritance. In this paper, we present the automatic segmentation technique of the motion capture data, in which the motion data is automatically segmented through KPCA combined with PPCA to reduce the dimension and project the 56 dimensional data in 2 dimensional space; formulate the feature function to obtain the derivative of projection error, detect the segmentation point of data through analyzing the change of geometric features to realize the automatic segmentation. It is indicated in the experiment that the motion capture technique has certain feasibility.},
  year = {2015},
  booktitle = {Innov. Des. Commun. Eng. - Proc. Int. Conf. Innov. Commun. Eng. ICICE},
  pages = {581-585},
  publisher = {CRC Press/Balkema},
  school = {CRC Press/Balkema},
  isbn = {9781138027527 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949812272&doi=10.1201%2fb18737-121&partnerID=40&md5=5902b2d6897b444f42ce5d1e180be172},
  doi = {10.1201/b18737-121},
  note = {Journal Abbreviation: Innov. Des. Commun. Eng. - Proc. Int. Conf. Innov. Commun. Eng. ICICE},
  language = {English},
}