Print Email Facebook Twitter High Accuracy Eye-Tracker For Proton Clinic Environment Title High Accuracy Eye-Tracker For Proton Clinic Environment Author Zhang, Yu (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Verhaegen, M.H.G. (mentor) Soloviev, O.A. (graduation committee) van Genderen, A.J. (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering | Embedded Systems Date 2019-10-29 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. Subject stereo camera3d reconstructioncalibration To reference this document use: http://resolver.tudelft.nl/uuid:25d52461-46d3-4883-a1f6-ca9def83a25e Part of collection Student theses Document type master thesis Rights © 2019 Yu Zhang Files PDF mscThesis_Yu.pdf 4.32 MB Close viewer /islandora/object/uuid:25d52461-46d3-4883-a1f6-ca9def83a25e/datastream/OBJ/view