Eye Blink Detection System for Paralyzed Patients
Kavitha H. S.1, Suguna G. C.2
1Mrs. Kavitha H. S., Assistant Professor and Research Scholar, Electronics and Communication Engineering, JSS Academy of Technical Education, Bengaluru.
2Mrs. Suguna G. C., Assistant Professor and Research Scholar, Electronics and Communication Engineering, JSS Academy of Technical Education, Bengaluru.
Manuscript received on February 12, 2020. | Revised Manuscript received on February 21, 2020. | Manuscript published on March 30, 2020. | PP: 333-335 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7368038620/2020©BEIESP | DOI: 10.35940/ijrte.F7368.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Paralysis of an human being is caused due to the degeneration of motor neurons which weakens the muscle, so that it does not allow patient to move, speak, breathe , and loss in the voluntary actions. It is an incurable disease. To understand the feelings of a paralyzed patients Brain wave technique and Electro-oculography techniques were used. These techniques are afflictive, discomfortable and leads to unconsciousness of the paralyzed patient. The real time video oculography system fills the communication gap between the patient and the world. Video Oculography (VOG) is video-based method of measuring the vertical, torsional and horizontal position components of both the eye blinks with the help of small cameras placed in the head-mounted mask .This paper presents different visual technologies, such as eye blink detection, eye center localization and conversion of the eye blink to speech. The video oculography could achieve accuracy of 0.968.
Keywords: VOG, Eye Blink detection
Scope of the Article: Knowledge-based and expert systems