Investigating classification methods to improve eye-tracking systems operation
by Golnaz Baghdadi; Ali Motie Nasrabadi
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 10, No. 2, 2012

Abstract: There are different problems with eye-tracking systems such as users' head movements, multi-user compatibility and environment's light variation that reduce the accurately of these systems. The current research investigates the performance of using classifiers in the calibration stage of an infrared eye-tracking system on 10 subjects several times. The results show that classifiers can reduce the mentioned problems and improve the operation of the system to recognize the eye-gaze direction more accurately and furthermore give the system the ability to adjust with various interferential factors that will be interesting and important for a number of applications requiring human computer interfaces.

Online publication date: Fri, 12-Dec-2014

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