DocumentCode :
2811985
Title :
Hand gesture recognition using different algorithms based on artificial neural network
Author :
Yewale, S.K. ; Bharne, P.K.
Author_Institution :
Inst. of Technol. & Res., Badnera, India
fYear :
2011
fDate :
22-24 April 2011
Firstpage :
287
Lastpage :
292
Abstract :
Gesture is one of the most natural and expressive ways of communications between human and computer in a real system. We naturally use various gestures to express our own intentions in everyday life. Hand gesture is one of the important methods of non-verbal communication for human beings. Hand gesture recognition based man-machine interface is being developed vigorously in recent years. This paper gives an overview of different methods for recognizing the hand gestures using MATLAB. It also gives the working details of recognition process using Edge detection and Skin detection algorithms.
Keywords :
edge detection; gesture recognition; mathematics computing; neural nets; ANN; MATLAB; artificial neural network; edge detection; hand gesture recognition; human beings; man-machine interface; nonverbal communication; skin detection algorithms; Gesture recognition; Humans; Image edge detection; MATLAB; Neural networks; Skin; Training; Artificial Neural Network; Edge Detection; Gesture Recognition; Hand Gesture Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Networks and Computer Communications (ETNCC), 2011 International Conference on
Conference_Location :
Udaipur
Print_ISBN :
978-1-4577-0239-6
Type :
conf
DOI :
10.1109/ETNCC.2011.6255906
Filename :
6255906
Link To Document :
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