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HAND GESTURE RECOGNITION: A SURVEY


Volume: 1 Issue: 5
Year of Publication: 2015
Authors: Payal Mangla, Naresh Kumar



Abstract

One of the most wonderful gift of nature in our world to the human being to see everything, to listen everything and then reacts to the situations by speaking. But there are some less fortune ones who are deprived of this wonderful gift. That type ofhuman beings are mainly called as “Deaf and Dumb” people. So Howthe “Deaf and Dumb” will communicate with normal people?. Sign language is a language for “Deaf and Dumb” people. By Sign Language, “Deaf and Dumb” people will communicate their feelings Hand gesture is a method of non-verbalcommunication for human beings for its freer expressions much more other than body parts. The “Hand”, “Arm”, “Eyes”, “Lips” and “Face” are the body parts which are using to show the expression.

References

  1. Vaishali.S.Kulkarni “Appearance Based Recognition of American Sign Language Using Gesture Segmentation” (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 03, 2010, 560-565.

  2. Noor A. Ibraheem \"Vision Based Gesture Recognition Using Neural Networks Approaches: A Review,\" International Journal of human Computer Interaction (IJHCI) ), ISSN 2180-1347, Vol 3, Issue 1, Aligarh, 2012.

  3. Siddharth S. Rautaray,\"Real Time Hand Gesture Recognition System For DYNAMIC Applications,\" International Journal of UbiComp (IJU), ISSN 0976-2213, Vol.3, pp no 21-31, Allahabad, January 2012.

  4. Rohit Sharma, YashNemani, Sumit Kumar “Recognition of Single Handed Sign Language Gestures using Contour Tracing Descriptor” Proceedings of the World Congress on Engineering Vol II, WCE 2013, July 3 - 5, 2013, London, U.K.

  5. Hsien-I Liny, Ming-Hsiang Hsu, and Wei-Kai Chen “Human Hand Gesture Recognition Using a Convolution Neural Network”IEEE International Conference on Automation Science and Engineering (CASE) Taipei, Taiwan, August 18-22, 2014.

  6. K.Sharma “International Jounal of Computer Application and Technology” International Journal of Computer Application and Technology (s), May - 2014, pp. 10-13 ISSN 2349-1841.

  7. DeepikaTewari, Sanjay Kumar Srivastava , “A Visual Recognition of Static Hand Gestures in Indian Sign Language based on Kohonen Self-Organizing Map Algorithm”, International Journal of Engineering and Advanced Technology (IJEAT), Vol.2, Dec 2012, pp. 165-170.

  8. Neha V. Tavari“ A Review of Literature on Hand Gesture Recognition for Indian Sign Language” International Journal of Advance Research in Computer Science and Management Studies.Volume 1, Issue 7, December 2013.

Keywords

Hand gesture recognition, Histogram technique, CNN, HMM, SVM




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