AI RESEARCH
Gaze Authentication: Factors Influencing Authentication Performance
arXiv CS.CV
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ArXi:2509.10969v2 Announce Type: replace This paper examines the key factors that influence the performance of state-of-the-art gaze-based authentication. Experiments were conducted on a large-scale, in-house dataset comprising 8,849 subjects collected with Meta Quest Pro equivalent hardware running a video oculography-driven gaze estimation pipeline at 72~Hz.