• Ashutosh Mohite Department of I.T., Dr. C. V. Raman University, Kota, Bilaspur, Chhattisgarh, India
  • Dr. S. M. Ghosh Department of I.T., Dr. C. V. Raman University, Kota, Bilaspur, Chhattisgarh, India


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


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.


I. 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.

II. 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.

III. 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.

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

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

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

VII. 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.

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

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

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How to Cite

Ashutosh Mohite, & Dr. S. M. Ghosh. (2017). HAND GESTURE PHASE CLASSIFICATION USING MULTILAYER PERCEPTRON. International Education and Research Journal (IERJ), 3(5). Retrieved from http://ierj.in/journal/index.php/ierj/article/view/819