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Philosophy of gustatory perception strategy for hand gesture recognition

Nermeen El Kashef (Faculty of Science, Alexandria University, Alexandria, Egypt)
Yasser Fouad Hassan (Faculty of Science, Alexandria University, Alexandria, Egypt)
Khaled Mahar (Computing and Information Technology, Arab Academy for Science and Technology Alexandria, Egypt)
Mustafa H. Fahmy (Faculty of Science, Alexandria, University, Alexandria, Egypt)

Kybernetes

ISSN: 0368-492X

Article publication date: 2 March 2015

Abstract

Purpose

Nature is the single and most complex system that has been always studied, and no one can compete Mother Nature, but we can learn from her, by many new methodologies through biology. The paper aims to discuss this issue.

Design/methodology/approach

In this paper, being inspired by the mechanism through which our Mother Nature handling human taste, a proposed model for clustering and classification hand gesture is introduced based on human taste controlling strategy.

Findings

The model can extract information from measurement data and handling it as the structure of tongue and the nervous systems of human taste recognition.

Originality/value

The efficiency of proposed model is demonstrated experimentally on classifying the sign language data set; in the high recognition accuracy obtained for numbers of ASL was 95.52 percent.

Keywords

Citation

El Kashef, N., Hassan, Y.F., Mahar , K. and Fahmy, M.H. (2015), "Philosophy of gustatory perception strategy for hand gesture recognition", Kybernetes, Vol. 44 No. 3, pp. 451-459. https://doi.org/10.1108/K-03-2014-0047

Publisher

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Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited