A Human Eye Model for Investigating the Metrological Properties of Video Eye Trackers

This article presents the development and testing of a model of the human eye for use in video eye-tracking systems. The research focuses on creating a universal model to simulate eye features such as pupil diameter, eyelid shape, and iris colour and generate the necessary pupil and corneal reflections required for accurate eye-tracking measurements. The study involves modifying existing models, particularly OEMI-7, to enhance its compatibility with different eye-tracking methods. Experimental validation was conducted using a robotic manipulator to simulate eye movements, showing the significance of the model for testing and standardising eye-tracking systems across various applications.

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Publication Details

Journal
Acta Physica Polonica A
Published
2024-10-01
DOI
https://doi.org/10.12693/aphyspola.146.623
Primary Topic
Gaze Tracking and Assistive Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

A Human Eye Model for Investigating the Metrological Properties of Video Eye Trackers

Anna Pakuła, Anna Ostaszewska-Liżewska, K. Szykiedans
Acta Physica Polonica A
Gaze Tracking and Assistive Technology
article

A Human Eye Model for Investigating the Metrological Properties of Video Eye Trackers

Anna Pakuła, Anna Ostaszewska-Liżewska, K. Szykiedans
article en

Abstract

This article presents the development and testing of a model of the human eye for use in video eye-tracking systems. The research focuses on creating a universal model to simulate eye features such as pupil diameter, eyelid shape, and iris colour and generate the necessary pupil and corneal reflections required for accurate eye-tracking measurements. The study involves modifying existing models, particularly OEMI-7, to enhance its compatibility with different eye-tracking methods. Experimental validation was conducted using a robotic manipulator to simulate eye movements, showing the significance of the model for testing and standardising eye-tracking systems across various applications.

Acta Physica Polonica AVol. 146(4)
Warsaw University of Technology (PL)
Politechnika Warszawska
Openalex Percentile: Top 77%
Gaze Tracking and Assistive Technology
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