Eye Movement Biometrics Using a New Dataset Collected in Virtual Reality
Dillon Lohr, Samantha Aziz, Oleg V. Komogortsev
Abstract
This paper introduces a novel eye movement dataset collected in virtual reality (VR) that contains both 2D and 3D eye movement data from over 400 subjects. We establish that this dataset is suitable for biometric studies by evaluating it with both statistical and machine learning–based approaches. For comparison, we also include results from an existing, similarly constructed dataset.
Topics & Concepts
BiometricsComputer scienceVirtual realityArtificial intelligenceEye movementMovement (music)Biometric dataComputer visionPhilosophyAestheticsGaze Tracking and Assistive TechnologyEEG and Brain-Computer InterfacesGlaucoma and retinal disorders