UDC 004.652, DOI: 10.2298/CSIS1001099W

A Retrieval Method for Human Mocap Data Based on Biomimetic Pattern Recognition

Xiaopeng Wei1, Boxiang Xiao1 and Qiang Zhang1

  1. Key Laboratory of Advanced Design and Intelligent Computing (Dalian University)
    Ministry of Education, Dalian, 116622, China
    zhangq26@126.com

Abstract

A retrieval method for human Mocap (Motion Capture) data based on biomimetic pattern recognition is presented in this paper. BVH rotation channels are extracted as features of motion for both the retrieval instance and the motion data. Several hyper sausage neurons are constructed according to the retrieval instance, and the trained domain covered by these hyper sausage neurons can be considered as the distribution range of a same kind of motions. By use of CMU free motion database, the retrieval algorithm has been implemented and examined, and the experimental results are illustrated. At the same time, the main contributions and limitations are discussed

Key words

MoCap (Motion Capture) Data, Retrieval, Biomimetic Pattern Recognition, HSN (Hyper Sausage Neurons)

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS1001099W

Publication information

Volume 7, Issue 1 (February 2010)
Advances in Computer Animation and Digital Entertainment
Year of Publication: 2010
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

DownloadAvailable in PDF
Portable Document Format

How to cite

Wei, X., Xiao, B., Zhang, Q.: A Retrieval Method for Human Mocap Data Based on Biomimetic Pattern Recognition. Computer Science and Information Systems, Vol. 7, No. 1. (2010), https://doi.org/10.2298/CSIS1001099W