Discriminating between intentional and unintentional gaze fixation using multimodal-based fuzzy logic algorithm for gaze tracking system with NIR camera sensor

Rizwan  A. Naqvi; Kang Ryoung Park

doi:10.1117/1.OE.55.6.063109

23 June 2016 Discriminating between intentional and unintentional gaze fixation using multimodal-based fuzzy logic algorithm for gaze tracking system with NIR camera sensor

Rizwan A. Naqvi, Kang Ryoung Park

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Optical Engineering, Vol. 55, Issue 6, 063109 (June 2016). https://doi.org/10.1117/1.OE.55.6.063109

Abstract

Gaze tracking systems are widely used in human–computer interfaces, interfaces for the disabled, game interfaces, and for controlling home appliances. Most studies on gaze detection have focused on enhancing its accuracy, whereas few have considered the discrimination of intentional gaze fixation (looking at a target to activate or select it) from unintentional fixation while using gaze detection systems. Previous research methods based on the use of a keyboard or mouse button, eye blinking, and the dwell time of gaze position have various limitations. Therefore, we propose a method for discriminating between intentional and unintentional gaze fixation using a multimodal fuzzy logic algorithm applied to a gaze tracking system with a near-infrared camera sensor. Experimental results show that the proposed method outperforms the conventional method for determining gaze fixation.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Rizwan A. Naqvi and Kang Ryoung Park "Discriminating between intentional and unintentional gaze fixation using multimodal-based fuzzy logic algorithm for gaze tracking system with NIR camera sensor," Optical Engineering 55(6), 063109 (23 June 2016). https://doi.org/10.1117/1.OE.55.6.063109

Published: 23 June 2016

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