12 citations · 29 across the 14 of their papers we have counts for
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Evaluating Eye Movement Biometrics in Virtual Reality: A Comparative Analysis of VR Headset and High-End Eye-Tracker Collected Dataset
Mehedi Hasan Raju, Dillon J Lohr, Oleg V Komogortsev
Previous studies have shown that eye movement data recorded at 1000 Hz can be used to authenticate individuals. This study explores the effectiveness of eye movement-based biometri…
Evaluation of Eye Tracking Signal Quality for Virtual Reality Applications: A Case Study in the Meta Quest Pro
Samantha Aziz, Dillon J Lohr, Lee Friedman +1
We present an extensive, in-depth analysis of the eye tracking capabilities of the Meta Quest Pro virtual reality headset using a dataset of eye movement recordings collected from…
A Mechanistic Transform Model for Synthesizing Eye Movement Data with Improved Realism
Henry Griffith, Samantha Aziz, Dillon J Lohr +1
This manuscript demonstrates an improved model-based approach for synthetic degradation of previously captured eye movement signals. Signals recorded on a high-quality eye tracking…
Signal vs Noise in Eye-tracking Data: Biometric Implications and Identity Information Across Frequencies
Mehedi H. Raju, Lee Friedman, Dillon Lohr +1
Prior research states that frequencies below 75 Hz in eye-tracking data represent the primary eye movement termed ``signal'' while those above 75 Hz are deemed ``noise''. This stud…
GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality
Dillon Lohr, Samantha Aziz, Lee Friedman +1
We present GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking (ET) dataset collected at 250 Hz with an ET-enabled virtual-reality (VR) headset. GazeBaseVR comprises 5,…
Demonstrating Eye Movement Biometrics in Virtual Reality
Dillon Lohr, Saide Johnson, Samantha Aziz +1
Thanks to the eye-tracking sensors that are embedded in emerging consumer devices like the Vive Pro Eye, we demonstrate that it is feasible to deliver user authentication via eye m…
Eye Know You: Metric Learning for End-to-end Biometric Authentication Using Eye Movements from a Longitudinal Dataset
Dillon Lohr, Henry Griffith, Oleg V Komogortsev
The permanence of eye movements as a biometric modality remains largely unexplored in the literature. The present study addresses this limitation by evaluating a novel exponentiall…
GazeBase: A Large-Scale, Multi-Stimulus, Longitudinal Eye Movement Dataset
Henry Griffith, Dillon Lohr, Evgeny Abdulin +1
This manuscript presents GazeBase, a large-scale longitudinal dataset containing 12,334 monocular eye-movement recordings captured from 322 college-aged subjects. Subjects complete…
Parallel Oculomotor Plant Mathematical Model for Large Scale Eye Movement Simulation
Alex Karpov, Jacob Liberman, Dillon Lohr +1
The usage of eye tracking sensors is expected to grow in virtual (VR) and augmented reality (AR) platforms. Provided that users of these platforms consent to employing captured eye…
Evaluating the Data Quality of Eye Tracking Signals from a Virtual Reality System: Case Study using SMI's Eye-Tracking HTC Vive
Dillon J. Lohr, Lee Friedman, Oleg V. Komogortsev
We evaluated the data quality of SMI's tethered eye-tracking head-mounted display based on the HTC Vive (ET-HMD) during a random saccade task. We measured spatial accuracy, spatial…