Open AccessA SURVEY ON IMAGE BASED EYE-BLINK ASSISTIVE SYSTEM FOR PARALYZED PATIENTS
Author(s) -
Vijayalaxmi Mekali,
Vidhya Dhari L,
Sandra Vaanija,
C Supriya
Publication year - 2019
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2019.v04i08.061
Subject(s) - optometry , psychology , computer science , medicine , human–computer interaction
The main aim of this paper is to remove difficulties faced by completely paralyzed patients suffering from Motor Neuron Disease MND) and Locked-in Syndrome (LIS). Paralyzed patients cannot communicate as they suffer from speech disorder, the only part that remains unaffected is eyes and communication is possible only through their eye movements. The proposed system is based on a Video-Oculography (VOG) technique which is efficient when compared to other existing techniques. In this system methods like face detection, eye blink detection and image processing are employed to communicate the needs of patients to the concerned person through a text and an audio message. Keywords— Motor Neuron Disease, Locked-in Syndrome, Speech Disorder, Video-Oculography, Face Detection, Eye Blink Detection, Image Processing.