Automatic Labanotation Generation Based on Human Motion Capture Data

被引：0

作者：

Guo, Hao ^{[1
]}

Miao, Zhenjiang ^{[1
]}

Zhu, Feiyue ^{[2
]}

Zhang, Gang ^{[2
]}

Li, Song ^{[2
]}

机构：

[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China

[2] Minist Culture, Ctr Ethn & Folk Literature & Art Dev, Beijing, Peoples R China

来源：

PATTERN RECOGNITION (CCPR 2014), PT I | 2014年 / 483卷

关键词：

motion capture data; Labanotation; motion segment; motion analysis; BVH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As a kind of dance notation, Labanotation has been adopted extensively as an analysis and record system for performing dances. This article aims to generate Labanotation automatically from human motion capture data stored in BVH (Bio-vision Hierarchy) files. First, we convert motion capture data into position format. Then we analyze motions separately according to whether the motion belongs to supporting motion or not. Using the obtained Primary Motion Segments, a sequence of coded description of Labanotation - the Labanotation Data (LND) is built. And finally, Labanotation is drawn and stored correctly on the basis of LND.

引用

页码：426 / 435

页数：10

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