Selection of pose configuration parameters of motion capture data based on dynamic time warping

The paper deals with the problem of motion data classification based on dynamic time warping transform. In the preliminary stage the selection of pose configuration parameters by hill climbing procedure is carried out. To construct dissimilarity matrices Euler angles and unit quaternion distance fun...

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Bibliographic Details
Format: Conference Proceeding
Language:English
Subjects:
Classification
Configurations
Euler angles
Gait
Motion capture
Parameters
Quaternions
Warping
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Summary:The paper deals with the problem of motion data classification based on dynamic time warping transform. In the preliminary stage the selection of pose configuration parameters by hill climbing procedure is carried out. To construct dissimilarity matrices Euler angles and unit quaternion distance functions are taken into consideration and compared. To examine proposed approach gait database containing data of 30 different humans is used. The obtained results are satisfactory. The classification has over than 90% accuracy and joint selection allows to reduce dimensionality of pose configuration space noticeably.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4912879