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Robot navigation control using vision based steering wheel

Published: 01 November 2017 Publication History

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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Cited By

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  • (2019)Tracking a hand in interaction with an object based on single depth imagesMultimedia Tools and Applications10.1007/s11042-018-6452-078:6(6745-6762)Online publication date: 17-May-2019

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          cover image Multimedia Tools and Applications
          Multimedia Tools and Applications  Volume 76, Issue 22
          Nov 2017
          1415 pages

          Publisher

          Kluwer Academic Publishers

          United States

          Publication History

          Published: 01 November 2017

          Author Tags

          1. Human-robot interaction
          2. Skin color fusion
          3. Support vector machine
          4. Weber local descriptor

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          • (2019)Tracking a hand in interaction with an object based on single depth imagesMultimedia Tools and Applications10.1007/s11042-018-6452-078:6(6745-6762)Online publication date: 17-May-2019

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