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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812B68

Page Number

535-540

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Title

Eye Gesture Classification using Convolutional Neural Network

ISSN

2349-5162

Cite This Article

"Eye Gesture Classification using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.535-540, December-2018, Available :http://www.jetir.org/papers/JETIR1812B68.pdf

Abstract

Estimation of eye gesture recognition is useful in various human-computer interaction tasks. We propose a framework for the classification of eye gestures. In the first stage, the algorithm detects face, and from the detected face, eye regions are detected using Haar-cascaded classifiers. A Convolutional Neural Network is employed in this work for the classification of eye gestures. The detected eye-gesture frames are recognized as eye-close, eye-left and eye-right. This proposed work will be usefull in developing hands-free computer interfaces to replace the traditional input devices to create an intelligent Human-Computer Interaction and also usefull in Medical applications,Gaming and Robotic research. The proposed system has been tested and performance analysis is carried out for the model.

Key Words

Human Computer Interaction, Eyegestures, Haar-cascadedclassifiers, Convolutional Neural Network, Robotic research.

Cite This Article

"Eye Gesture Classification using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp535-540, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B68.pdf

Publication Details

Published Paper ID: JETIR1812B68
Registration ID: 194386
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 535-540
ISSN Number: 2349-5162

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Cite This Article

"Eye Gesture Classification using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp535-540, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B68.pdf




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