The Dynamic Hand Gesture Recognition Method |
Author(s): |
| A Anoop , RYMEC BELLARY; H Chidananda, RYMEC |
Keywords: |
| Human Computer Interaction(HCI), Dynamic Hand Gesture Recognition (HGR), Hidden Markov Model(HMM), Skin Colour Detection And Computer Vision Methods |
Abstract |
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The human computer interaction system is an very much interactive and very much challenging task in nature and the hand gesture recognition system is one of the major and current interesting topic in the research of computer vision field. So here as we are humans we can communicate with other people as the same way we the humans we can communicate with machines. The human machine interaction can be implemented by using these methods. And here the interaction between the humans and the machines is became the primary objective in the human computer interaction (HCI) research field. Here there is rapid development in the human computer interaction field by gesture recognition and speech recognition the humans can interact easily with machines and conveniently without any difficulties. Here in this paper I am exploring the one of the method of gesture recognition in real time of human hand using hidden Markov model method (HMM). And this HMM is being used in dynamic hand gesture recognition systems. Here the bare hand is being used and no usage of any other gloves for hand detection. |
Other Details |
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Paper ID: IJSRDV3I40030 Published in: Volume : 3, Issue : 4 Publication Date: 01/07/2015 Page(s): 67-71 |
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