• Biswa Ranjan Rao
• Adarsh R
• Febi Sarah Binu
• Pooja R

The number of paralyzed people keep increasing year by year perhaps because of two common factors. Some people have unfortunate mishaps, while others are born with it.. Since communication is an important aspect in our life, these paralyzed people may not be able to communicate. They cannot use their hands or mouth to conversate and communicate but they might have a sound vision and can control their eye movements. Hence by using the movements of the eye, we propose a low-cost eye gazing communication system. We use a camera module which is used to video capture the face of the subject and by using various image processing algorithms such as the Voila-Jones algorithm, we detect the face of the individual. We use the facial landmarks to slice out the eyes of the subject, i.e., the left eye and the right eye. To precisely detect the motion of the eye, we try to track the iris movement which is the most prominent feature in the eye. Using the Hough’s circle algorithm which detects the most circular shape object in the given image i.e., the iris, we successfully track the movement of the iris. Once we track the movement of the iris, we design a Graphical User Interface (G.U.I) using Python which is displays various communication features such as Doctor/Nurse, Washroom Assist, Family, Food/Water etc. on the screen in front of the subject where the subject can navigate through and select the desired option using the position of iris and eye blink i.e., if the patient gazes right, the screen shifts to a new communication option, if the patient gazes left, the screen shifts to the previous communication option and if the patient blinks the current communication option is selected. When the patient blinks on a particular option, message gets sent to the concerned person using GSM module where the concerned person gets notified that the patient needs assistance. All the modules and monitor are interfaced with a small minicomputer called Raspberry Pi which controls the entire system.

Face Detection, Iris Detection, Graphical User Interface, Raspberry Pi.

"Eye Gaze Communication System for Differently Abled Person", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.b731-b738, July-2022, Available :http://www.jetir.org/papers/JETIR2207189.pdf

"Eye Gaze Communication System for Differently Abled Person", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppb731-b738, July-2022, Available at : http://www.jetir.org/papers/JETIR2207189.pdf