HAND GESTURE PHASE CLASSIFICATION USING MULTILAYER PERCEPTRON

Ashutosh Mohite, Dr. S. M. Ghosh

Abstract


Symbolic and Sign language is a most important technique for the non-verbal communication which uses the gestures i.e. the movement of the body part which carry some information to perform the desired goal. Gesture is a meaningful statements or information given by the human beings to accomplish the specific task. This paper presents an approach for Human-Computer Interaction (HCI) where we classify the different hand gesture phases using the movement of the hand as the input device. The main objective of this paper is to make a robust model to identify the different hand gesture phases using Multilayer Perceptron (MLP) with high accuracy.The MLP gives better classification accuracy as 83.95% with learning rate 0.6 and hidden layer 3.

Keywords


Multilayer Perceptron, Hand Gesture, Human-Computer Interaction (HCI), Non Verbal Communication.

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References


Ekbote J. and Joshi M.,(2016).”A Survey on Hand Gesture Recognition for Indian Sign Language”. International Research Journal of Engineering and Technology (IRJET). Vol.03(10): 2395-0072.

Gawande S.D. and Chopde N.R.,( 2013).” Neural Network based Hand Gesture Recognition”.International Journal of Emerging Research in Management &Technology. 3:2278-9359.

Martell C. H. and Kroll J., (2007). Corpus-based gesture analysis: an extension of the form dataset for the automatic detection of phases in a gesture. International Journal of Semantic Computing. 1:521-536.

Dias J.M.S., Bastos, R. (2006), “An Optimized Marker Tracking System”, in Eurographics Symposium on Virtual Environments.1-4.

Corradini, (2002). “Real-time gesture recognition by means of hybrid recognizers”. in Proc. of the Int. Gesture Workshop.157-189.

McNeill D. (1992). Hand and mind: What the hands reveal about thought. Chicago, IL, USA:2-5.

Kendon, A. (1980). Gesticulation and speech: Two aspects of the process of utterance. In Key, M. R., ed., The Relationship of verbal and nonverbal communication. The Hague, The Netherlands: Mounton Publishers. 207–227.

Rosenblatt, Frank, (1957). “The Perceptron--a perceiving and recognizing automaton”. Report 85-460-1.Cornell Aeronautical Laboratory.

Dhotre I.A.,”Soft Computing”.Technical Publication.ISBN 978-93-5099-161-9.


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