This paper is published in Volume-6, Issue-4, 2020
Area
Information Science
Author
Namratha K. S.
Co-authors
Jeevitha B. S., Sneha P. H., Veda D.
Org/Univ
Rajarajeswari College of Engineering, Bangalore, Karnataka, India
Pub. Date
28 July, 2020
Paper ID
V6I4-1229
Publisher
Keywords
Video Oculography, Eye Blink Detection, Eye Pursuit, Face Recognition, Open CV

Citationsacebook

IEEE
Namratha K. S., Jeevitha B. S., Sneha P. H., Veda D.. Eye blink to voice format communication for paralyzed patients, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Namratha K. S., Jeevitha B. S., Sneha P. H., Veda D. (2020). Eye blink to voice format communication for paralyzed patients. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.

MLA
Namratha K. S., Jeevitha B. S., Sneha P. H., Veda D.. "Eye blink to voice format communication for paralyzed patients." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.

Abstract

The wide growth of technology in the medication field reduces the difficulties of patients to a large extent. Motor Neuron Disease is one such major classes of physical disabilities resulting in disfunction.MND patients are unable to figure like walk and communicate caused by weakness of muscles. The patient has management solely upon his Eye movement. This technique contains strategies like face detection, eye detection, eye pursuit, conversion of blink to voice, Video-Oculogragphy methodology is employed to create communication between patient and caretaker. The image process module incorporates a digital camera and therefore the eye movement-image is captured with OpenCv to get the coordinate of the eyeball. The system permits the patients to speak with caretaker victimization blink pattern converted into voice format The sensible resolution for image process is obtained be Python programming with Open CV
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