Real Time Hand Gesture Recognition System
Shival Abhilasha Shamsundar1, Suryawanshi Rupali Vitthalrao2
1Prof. Shival Abhilasha Shamsundar, Electronics & Telecommunication Engg., Solapur University/ Brahmdevdada Mane Institute Of Technology, Solapur, India.
2Prof. Suryawanshi Rupali Vitthalrao, Electronics & Telecommunication Engg., Solapur University/ SPM Poplytechnic, Solapur.
Manuscript Received on May 08, 2015. | Revised Manuscript Received on May 09, 2015. | Manuscript published on May 20, 2015. | PP: 11-13 | Volume-3 Issue-6, May 2015. | Retrieval Number: F0633053615/2015©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: Hand gestures can be used for natural and intuitive human-computer interaction. Our new method combines existing techniques of skin color based ROI segmentation and Viola-Jones Haar-like feature based object detection, to optimize hand gesture recognition for mouse operation. A mouse operation has two parts, movement of cursor and clicking using the right or left mouse button. In this paper, color is used as a robust feature to first define a Region of Interest (ROI). Then within this ROI, hand postures are detected by using Haar-like features and AdaBoost learning algorithm. The Ada Boost learning algorithm significantly speeds up the performance and constructs an accurate cascaded classifier by combining a sequence of weak classifiers.
Keywords: Human Computer Interaction, Hand Detection, Segmentation, Hand Tracking and Gesture Recognition.