Abstract
Intelligent robot human-machine interactive technology will be incorporated into our daily lives and industrial production. This paper presents an autonomous mobile robot control system for human-machine interaction, The use of computer vision, 3D reconstruction of the two-dimensional image information of a specific coordinate point to point system. The use of a known point to the appearance characteristics of objects, by vision recognition algorithm, the original color image data for target screening and recognition. Allows users to easily through simple body movements, issuing commands to the robot. And by support vector machine(SVG) to classify non-linear non-separable type of data, accept user input and recognition actions to improve the robot vision system for target identification accuracy, and thus to achieve the goal of human-computer interaction.
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Chen, TD. (2010). Approaches to Robotic Vision Control Using Image Pointing Recognition Techniques. In: Zeng, Z., Wang, J. (eds) Advances in Neural Network Research and Applications. Lecture Notes in Electrical Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12990-2_36
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DOI: https://doi.org/10.1007/978-3-642-12990-2_36
Publisher Name: Springer, Berlin, Heidelberg
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