A Survey on Eye-Blink Based Communication System for People with Motor Neuron Disease
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 6)Publication Date: 2020-06-30
Authors : K.Panimozhi; Shria Gupta; Sreya Chanda; Sushmitha R; Nagashree B R;
Page : 100-105
Keywords : Motor Neuron Disease; Electro-Oculography; VideoOculography; Haar Cascade Classifier; k-NN (k-Nearest Neighbour) Algorithm; OpenCV;
Abstract
This paper introduces a communication model build on eye-blink detection for people affected with Motor Neuron Disease. In this paper, we are showing various methodologies for face and eye blink detection. Using this proposed model, patients can contact with care givers any time they want when they lie on the bed. When the patient needs something, only blinking and eye motions can launch the call out action for their need. This disease is incurable and the patient becomes inexpressive, so this model incorporates visual technologies such as eye blink detection, eye centre localization and conversion of the eye blink to speech to help the sufferers in expressing themselves. Here, we aim to build a cost-effective, electrode less, fast and accurate system.
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Last modified: 2020-06-27 16:03:12