Contour Analysis Based Gesture Control PC Operation
Rupali N. Patil1, Mansi M. Kambli2
1Rupali N. Patil, Lecturer, Department of Computer Engineering, K. J. Somaiya Polytechnic, Vidyavihar (East), India.
2Mansi M. Kambli, Department of Computer Engineering, K. J. Somaiya Polytechnic, Vidyavihar (East), India.
Manuscript received on 15 April 2017 | Revised Manuscript received on 22 April 2017 | Manuscript Published on 30 April 2017 | PP: 19-22 | Volume-6 Issue-9, April 2017 | Retrieval Number: I2429046917/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There are a lot of home appliances and personal computers around us. However, few of the user interfaces are designed for user basic access. In this study, as an interface focusing on the ease of use, we develop a system to control personal computer by applying the natural behavior of human. This paper introduces a system that allows a user to carry out computer operation using a web camera. This system consist of four stages viz image acquisition, image pre-processing, feature extraction and gesture recognition. In the first stage , the input image is capture with the help of a camera. In the second phase, the skin color of hand region is distinguished using HSV color space and morphological operations like erosion, dilation, smoothing and thresholding. In Feature extraction stage, contours of hand image are identified. Lastly, Gesture recognition stage contains recognized hand gestures suing contour analysis. The Open CV is used to perform our research.
Keywords: Hand Gesture Recognition, Contour Analysis, HSV Color Space, Skin Detection, Open CV.
Scope of the Article: Robotics and Control