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3D Pose Estimation of a Human Arm for Human-Computer Interaction - Application of Mechanical Modeling Techniques to Computer Vision  

Han Young-Mo (Dept. of Information Electronics Ewha Womans University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.42, no.4, 2005 , pp. 11-18 More about this Journal
Abstract
For expressing intention the human often use body languages as well as vocal languages. Of course the gestures using arms and hands are the representative ones among the body languages. Therefore it is very important to understand the human arm motion in human-computer interaction. In this respect we present here how to estimate 3D pose of human arms by using computer vision systems. For this we first focus on the idea that the human arm motion consists of mostly revolute joint motions, and then we present an algorithm for understanding 3D motion of a revolute joint using vision systems. Next we apply it to estimating 3D pose of human arms using vision systems. The fundamental idea for this algorithm extension is that we may apply the algorithm for a revolute joint to each of the revolute joints of hmm arms one after another. In designing the algorithms we focus on seeking closed-form solutions with high accuracy because we aim at applying them to human computer interaction for ubiquitous computing and virtual reality.
Keywords
human-computer interaction; 3D pose estimation; human arm; revolute joint; computer vision; closed-form solution;
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Times Cited By KSCI : 1  (Citation Analysis)
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