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A Survey on Dynamic Hand Gesture for Number Recognition

Published on September 2016 by Manju Agarwal, Ratika Pradhan, Bijoyeta Roy
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International Conference on Computing and Communication
Foundation of Computer Science USA
ICCC2016 - Number 1
September 2016
Authors: Manju Agarwal, Ratika Pradhan, Bijoyeta Roy
929f8a4e-7cb7-40df-b28d-1bac12c36ef3

Manju Agarwal, Ratika Pradhan, Bijoyeta Roy . A Survey on Dynamic Hand Gesture for Number Recognition. International Conference on Computing and Communication. ICCC2016, 1 (September 2016), 31-34.

@article{
author = { Manju Agarwal, Ratika Pradhan, Bijoyeta Roy },
title = { A Survey on Dynamic Hand Gesture for Number Recognition },
journal = { International Conference on Computing and Communication },
issue_date = { September 2016 },
volume = { ICCC2016 },
number = { 1 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 31-34 },
numpages = 4,
url = { /proceedings/iccc2016/number1/26156-cc57/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and Communication
%A Manju Agarwal
%A Ratika Pradhan
%A Bijoyeta Roy
%T A Survey on Dynamic Hand Gesture for Number Recognition
%J International Conference on Computing and Communication
%@ 0975-8887
%V ICCC2016
%N 1
%P 31-34
%D 2016
%I International Journal of Computer Applications
Abstract

Hand gesture system recognition has received great attention in the current few years because of its ability as it is very important for developing an attractive alternative through human computer interaction modalities. However a more natural form of communication system would make the interaction easier, even the performance would increase and additional cost for hardware would also decrease in fact we might not need extra hardware as well. Thus one of the steps towards the goal of achieving such natural form of communication is Dynamic Gesture Recognition. In dynamic gesture recognition we consider the hand as our only interest of object and our primary focus is on the motion of this object. Therefore here dynamic gesture means the gesture made by a moving hand. In this paper a survey of various hand gesture recognition systems is perceived. There are so many numbers of devices that have been invented, each bringing with it a new aspect of interaction. This paper presents the review of ongoing research on various techniques for determining hand gesture recognition.

References
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  11. C. Keskin, A. Erkan, L. Akarun, "Real time hand tracking and 3D gesture recognition for interactive interfaces using HMM", IEEE Transaction.
  12. Harshith. C et al. , "Survey On Various Gesture Recognition Techniques For Interfacing Machines Based On Ambient Intelligence", International Journal of Computer Science & Engineering Survey (IJCSES) Vol. 1, No. 2, November 2010.
  13. Malvika Bansal et al. , Gestuelle, "A System to Recognize Dynamic Hand Gestures using Hidden Markov Model to Control Windows Applications", International Journal of Computer Applications (0975 – 8887) Volume 62– No. 17, January 2013.
  14. Min et al. , Han gesture recognition using Hidden Markov Model ,International Journal of Artificial Intelligence & Applications (IJAIA), 2012.
  15. M. M. Gharasuie et al. , "Real-time Dynamic Hand Gesture Recognition using Hidden Markov Models" , 8th Iranian Conference on Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP), 978-1-4673-6184-2/13/$31. 00 ©2013 IEEE.
  16. Qiu-yu Zhang et al. , "Hand Gesture Contour Tracking Based on Skin Color Probability and State Estimation Model", JOURNAL OF MULTIMEDIA, VOL. 4, NO. 6, DECEMBER 2009.
  17. Rafiqul Zaman Khan et al. , Geometric feature extraction for hand gesture recognition, IJCET, Volume 5, Issue 7, July (2014), ISSN 0976 – 6367, pp. 132-141.
  18. Rafiqul Zaman Khan et al. , "Hand Gesture Recognition: A Literature Review", IJAIA, Vol. 3, No. 4, July 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Hci Dynamic Gesture Recognition Skin Color Detection Hmm