Eye Movement Biometrics Using a New Dataset Collected in Virtual Reality

Autor:	Oleg V. Komogortsev, Samantha Aziz, Dillon J. Lohr
Rok vydání:	2020
Předmět:	Authentication Biometrics Computer science business.industry Eye tracking Eye movement Computer vision Artificial intelligence Virtual reality business
Zdroj:	ETRA Adjunct
DOI:	10.1145/3379157.3391420
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1ca59e4dff2bbcef6a66cd4ad3856c55 https://doi.org/10.1145/3379157.3391420 Zobrazit plný text záznamu