Hand Gesture Controls for Digital TV using Mobile ARM Platform |
Author(s): |
| Ajit S. Gundale , Walchand Institute of Technology Solapur, Maharashtra (INDIA); Pallavi G. Potadar, Walchand Institute of Technology Solapur, Maharashtra (INDIA) |
Keywords: |
| Codeblocks, Fingertips detection, OMAP4430, OpenCV, Panda board. |
Abstract |
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This paper presents a new approach for controlling digital television using a real-time camera. Proposed method uses a camera, a mobile ARM platform and computer vision technology, such as image segmentation and gesture recognition, to control TV operations such as changing channels, increasing or decreasing volume etc. For this we have used an ARM based mobile platform with OMAP processor. For processing the images we implemented the code using OpenCV library. Hand detection is one of the important stages for applications such as gesture recognition and hand tracking. In this paper, it proposes a new method to extract hand region and consequently the fingertips from color images. |
Other Details |
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Paper ID: IJSRDV1I5017 Published in: Volume : 1, Issue : 5 Publication Date: 01/08/2013 Page(s): 1104-1107 |
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