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