NDLI: Human actions segmentation and matching based on 3D skeleton model

Content Provider	IEEE Xplore Digital Library
Author	Huang Shuzi Yuan Jing Chen Huan
Copyright Year	2013
Description	Author affiliation: Dept. of Autom., Nankai Univ., Tianjin, China (Huang Shuzi; Yuan Jing; Chen Huan)
Abstract	Kinect is a motion sensing device developed by Microsoft Company. It can provide data of human skeleton in order to achieve motion tracking of the people. This paper proposes a method to segment and match human actions based on 3D human skeleton node data. This method can be used to segment and match complex movements such as dance and gymnastics and so on,and it can also detect the deviation between the measured action and the standard action.We divide the human skeleton into five parts and calculate kinematics information of each part. Using the naturally separable characteristic of human actions, we segment human actions based on the kinematics information of the skeleton model in order to acquire action pieces. Then, analysis of the human action behaviors and matching of the action pieces are finished. The rotation matrix is used to calculate the characteristics of the joint angles of the skeleton, which are adopted to achieve skeleton poses matching. The experimental results show that 97% accuracy is achieved when matching simple actions. Moreover, segmentation of the actions can improve the matching accuracy of long and complex actions.
Starting Page	5877
Ending Page	5882
File Size	454999
Page Count	6
File Format	PDF
ISBN	9789881563835
ISSN	19341768
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	3D skeleton model Solid modeling Three-dimensional displays rotation matrix Motion segmentation Kinematics Educational institutions Skeleton Electronic mail action matching action segmentation
Content Type	Text
Resource Type	Article

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