A retrieval method for human Mocap data based on biomimetic pattern recognition | Zendy

Xiaopeng Wei | Zendy; Boxiang Xiao | Zendy; Qiang Zhang | Zendy

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A retrieval method for human Mocap data based on biomimetic pattern recognition

Author(s) -

Xiaopeng Wei,

Boxiang Xiao,

Qiang Zhang

Publication year - 2010

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis1001099w

Subject(s) - computer science , artificial intelligence , motion (physics) , pattern recognition (psychology) , motion capture , domain (mathematical analysis) , rotation (mathematics) , computer vision , human motion , range (aeronautics) , data retrieval , data mining , mathematics , mathematical analysis , materials science , composite material

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.

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