High Accuracy Eye-Tracker For Proton Clinic Environment
Y. Zhang (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.H.G. Verhaegen – Mentor (TU Delft - Team Raf Van de Plas)
O.A. Soloviev – Graduation committee member (TU Delft - Team Raf Van de Plas)
A.J. van Genderen – Coach (TU Delft - Computer Engineering)
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Abstract
This project aims to improve the accuracy of the eye tracking system, which consists of two cameras and two infrared LED light sources. This highly non-invasive technology, which is the feature-based video-oculographic eye tracking system, determines the position of the eye by monitoring the eye features such as the pupil center and glints. The accuracy of estimating the eye position and orientation is critical in the proton clinic environment, and is to be required higher than those in commercially available eye-tracking system.