Abstract
Human-robot interaction has recently drawn great attention in both academic and industrial communities. Given the benefit features of human-robot interaction, this article developed a robot navigation control system with graphic user interface using user’s hand positions and hand gesture recognition. A new skin color fusion of channels among several color spaces, such as RGB-H-Cr-Cb, is proposed in this research. Human face properties are taken as a reference to detect and segment the hand regions. The hand recognition module uses the Weber local descriptor cooperated with the support vector machine. In experimental results, the skin segmentation as well as hand recognition method is compared with some previous methods to demonstrate the proposed methods’ flexibility and robustness to be implemented in real-time applications.
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