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Optical Engineering • Open Access

Discriminating between intentional and unintentional gaze fixation using multimodal-based fuzzy logic algorithm for gaze tracking system with NIR camera sensor
Author(s): Rizwan A. Naqvi; Kang Ryoung Park

Paper 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.

Paper Details

Date Published: 23 June 2016
PDF: 17 pages
Opt. Eng. 55(6) 063109 doi: 10.1117/1.OE.55.6.063109
Published in: Optical Engineering Volume 55, Issue 6
Show Author Affiliations
Rizwan A. Naqvi, Dongguk Univ. (Korea, Republic of)
Kang Ryoung Park, Dongguk Univ. (Korea, Republic of)

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