Hand Gesture Recognition Systems: A Survey
Surve Pranjali1, Ubale V. S2
1Surve Pranjali, B.E. (Electronics), Department of Electronics (Digital Systems), A V C O E, Sangamner, Affiliated to University of Pune, India.
2Ubale V.S, Asst. Prof., Department of Electronics (Digital Systems), A V C O E, Sangamner, Affiliated to University of Pune, India.
Manuscript received on February 01, 2015. | Revised Manuscript Received on February 09, 2015. | Manuscript published on February 20, 2015. | PP: 1-5 | Volume-3 Issue-3, February 2015. | Retrieval Number: A0565123114/2015©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: The first mode of communication in the early ages was gesture. Later on the verbal communication was developed very well. But still non-verbal communication has its importance. Non – verbal communication is used for the physically challenged people, for different applications. For e.g. aviation, surveying, music direction etc. It is the method to interact with other peripheral devices, such as keyboard, mouse. The important steps involved in HGR systems are data acquisition, gesture modelling, feature extraction and hand gesture recognition. Different algorithm are followed by different researchers or sometimes used their own algorithm. This paper studies different methods of HGR and finally the desired characteristics of a robust and efficient hand gesture recognition system have been described.
Keywords: Hand gesture recognition, Principal component analysis (PCA), Rotation invariant