Human Gesture Recognition for Def and Dumb People |
Author(s): |
| Sandhya Jayram Shinde , Vishwakarma Institute Of Information Technology,pune-48; Sandhya Jayram Shinde, Vishwakarma Institute Of Information Technology,pune-48; Prajakta Dilip Shukla, Vishwakarma Institute Of Information Technology,pune-48; Ashwini Ramchandra Vhanmane, Vishwakarma Institute Of Information Technology,pune-48; Shailesh Thaware, Vishwakarma Institute Of Information Technology,pune-48 |
Keywords: |
| Fuzzy C Means, morphology, segmentation, classification, gesture recognition |
Abstract |
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The purpose of this work is to help deaf and dumb people, who use sign language to communicate with outside world. This work will help these people to overcome this barrier. It will aim at extracting rotation, scale, translation invariant features for robust understanding of gesture. Gestures is the only language through which a deaf and dumb speaks. With the social perspective we are contributing to the technology so that they will be able to communicate more efficiently with sound people. For previously designed systems there are many constraints for scale, distance and rotation. Invariance of geometric transformations such as scale, rotation and translation are key requirements for practical usage of visual descriptors in the application like sign language recognition system which we propose to build. For the classification we are using a Fuzzy C means algorithm. |
Other Details |
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Paper ID: IJSRDV3I21162 Published in: Volume : 3, Issue : 2 Publication Date: 01/05/2015 Page(s): 2422-2425 |
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