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

Rizwan Ali Naqvi, Kang Ryoung Park

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish
Article number063109
JournalOptical Engineering
Volume55
Issue number6
DOIs
StatePublished - 1 Jun 2016

Keywords

  • accuracy of gaze detection
  • discriminating between intentional and unintentional gaze fixation
  • gaze tracking system using near-infrared camera sensor

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