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Gaze authentication performance analyzed with Meta Quest Pro hardware

A new research paper explores the effectiveness of gaze-based authentication systems, analyzing factors that impact their performance. The study utilized a large dataset of 8,849 subjects collected using hardware similar to the Meta Quest Pro, employing a video oculography-driven gaze estimation pipeline. Researchers investigated how eye tracking signal quality, calibration methods, and raw gaze filtering influence authentication accuracy. AI

RANK_REASON Research paper detailing factors influencing gaze authentication performance. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CV →

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Gaze authentication performance analyzed with Meta Quest Pro hardware

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Research paper detailing factors influencing gaze authentication performance. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Dillon Lohr, Michael J Proulx, Mehedi Hasan Raju, Oleg V Komogortsev ·

    Gaze Authentication: Factors Influencing Authentication Performance

    arXiv:2509.10969v3 Announce Type: replace Abstract: 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 …