A Video Processing Based Eye Gaze Recognition Algorithm for Wheelchair Control
Sudhir Rao Rupanagudi, Varsha G. Bhat, Shreya K. Gurikar, Sriharsha Koundinya, Sumedh Kumar M. S., R. Shreyas, S. Shilpa, Suman N.M., Rachana R. Bademi, Manisha Koppisetti, Vasanthi Satyananda · 2019
Over the past few years, a lot of research has been carried out in eye gaze recognition and its applications. From controlling wheelchairs to selecting options on a screen, utilizing the gaze of an individual has become a long-sought way for performing these tasks and in turn making the life of several differently abled people easy. In this paper a novel methodology to perform iris segmentation and gaze recognition has been introduced and described. The method elaborated utilizes a segmentation algorithm which can successfully extract the iris under varying lighting conditions with the help of machine learning. All experiments were conducted using the MATLAB R2013a software and a speed improvement of almost 3.433 times was achieved as opposed to other popular methods of iris extraction. In terms of accuracy, the algorithm proved to be 86% accurate and was also adopted to control an actual wheelchair.