01758nas a2200313   4500000000100000000000100001008004100002260002200043653002700065653003800092653002800130653002900158653001600187653002200203653002700225653003400252653002000286653001900306653002400325653003500349100001500384700001300399700001400412245008400426856014300510300001200653520075400665020002501419       2015                            d  bCRC Press/Balkema10aAutomatic segmentation10aAutomatic segmentation techniques10aAutomatic segmentations10aDimensionality reduction10aEngineering10aGeometric feature10aIndustrial engineering10aIntangible cultural heritages10aMotion analysis10aMotion capture10aMotion capture data10aQuan-Zhou chest-clapping dance1 aS.-X. Chen1 aJ.-W. Li1 aJ.-D. Lin00aAutomatic segmentation of motion capture data of Quan-Zhou chest-clapping dance  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84949812272&doi=10.1201%2fb18737-121&partnerID=40&md5=5902b2d6897b444f42ce5d1e180be172  a581-5853 aQuan-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.  a9781138027527 (ISBN)