| Autor: |
N M Suman, Sudhir Rao Rupanagudi, Rachana R. Bademi, Vasanthi Satyananda, Varsha G. Bhat, Manisha Koppisetti, R Shreyas, M S Sumedh Kumar, S. Pranava Koundinya, S Shilpa, Shreya K. Gurikar |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
DESSERT |
| DOI: |
10.1109/dessert.2019.8770025 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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