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Motion tracking by sensors for real-time human skeleton animation

Authors:

S. P. Kasthuri Arachchi ,

National Central University, TW
About S. P. Kasthuri
Department of Computer Science and Information Engineering
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Chengkai Xiang,

National Central University, TW
About Chengkai
Department of Computer Science and Information Engineering
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W.G.C.W. Kumara,

National Central University, TW
About W.G.C.W.
Department of Computer Science and Information Engineering
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Shih-Jung Wuis,

Tamkang University, Lanyang Campus, TW
About Shih-Jung
College of Global Development, Department of Innovative Information and Technology
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Timothy K. Shih

National Central University, TW
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Abstract

Human Computer Interaction based Research has emerged in the early 1980s with the advent of computer technology. Human Motion Capture is the process of recording the movement of people. Among many kinds of human motion capture devises, Microsoft Kinect sensor and inertial sensors are most popular nowadays. In this paper we propose an efficient motion tracking mechanism to construct real time human skeleton animation using inertial sensors. We compare the results of our proposed method with the Microsoft Kinect sensor over the complicated motion tracking and joint position. During the experiment we observed that our results are much steady than Microsoft Kinect results. Some motions like hand cross over or leg cross over, our method showed better results than Kinect because the Kinect may lose skeleton of the blocked parts. On the other hand, since we use radio frequency inertial sensors, our method has a larger working area than Kinect.
How to Cite: Arachchi, S.P.K. et al., (2016). Motion tracking by sensors for real-time human skeleton animation. International Journal on Advances in ICT for Emerging Regions (ICTer). 9(2), pp.10–21. DOI: http://doi.org/10.4038/icter.v9i2.7180
Published on 04 Dec 2016.
Peer Reviewed

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