@article {10.3844/jcssp.2011.1194.1203,
article_type = {journal},
title = {An Appearance based Method for Eye Gaze Tracking},
author = {Sheela, S. V. and Vijaya, P. A.},
volume = {7},
number = {8},
year = {2011},
month = {Jul},
pages = {1194-1203},
doi = {10.3844/jcssp.2011.1194.1203},
url = {https://thescipub.com/abstract/jcssp.2011.1194.1203},
abstract = {Problem statement: Gaze estimation systems compute the direction of eye gaze based on observed eye movements. The need for gaze-contingent applications is the basis of the current research work. The gaze pointing systems is a substitute for the existing input devices. Approach: The gaze tracking methods are either feature based or appearance based. In this study, an appearance based approach for gaze tracking is proposed based on Run Length Coding (RLC). The experiment was conducted considering transitional changes and the class-intervals in iris pixels. The image acquisition begins from the center of the screen in anticlockwise direction. The center of the screen was the pivot point. Results: Using RLC, the recognition rate of 95% was achieved. The image analysis in different directions determines the gaze point. The directions was determined with respect to the pivot point. Conclusion: The proposed system provides a robust, less computational gaze tracking method using web camera.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}