12 citations · 29 across the 14 of their papers we have counts for
16 papers
Establishing Robust Retinal Eye Tracking: A Weakly Supervised Algorithmic Framework
Bo Wen, Dillon Lohr, Yatong An +8
Retinal image-based eye tracking is widely used in ophthalmic imaging and vision science, and is a promising path to deliver higher gaze accuracy than the pupil- and cornea-based a…
Gaze Authentication: Factors Influencing Authentication Performance
Dillon Lohr, Michael J Proulx, Mehedi Hasan Raju +1
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 comp…
Ocular Authentication: Fusion of Gaze and Periocular Modalities
Dillon Lohr, Michael J. Proulx, Mehedi Hasan Raju +1
This paper investigates the feasibility of fusing two eye-centric authentication modalities-eye movements and periocular images-within a calibration-free authentication system. Whi…
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…
Establishing a Baseline for Gaze-driven Authentication Performance in VR: A Breadth-First Investigation on a Very Large Dataset
Dillon Lohr, Michael J. Proulx, Oleg Komogortsev
This paper performs the crucial work of establishing a baseline for gaze-driven authentication performance to begin answering fundamental research questions using a very large data…
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…
Temporal Persistence and Intercorrelation of Embeddings Learned by an End-to-End Deep Learning Eye Movement-driven Biometrics Pipeline
Mehedi Hasan Raju, Lee Friedman, Dillon J Lohr +1
What qualities make a feature useful for biometric performance? In prior research, pre-dating the advent of deep learning (DL) approaches to biometric analysis, a strong relationsh…
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 Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
Dillon Lohr, Oleg V Komogortsev
Eye movement biometrics (EMB) is a relatively recent behavioral biometric modality that may have the potential to become the primary authentication method in virtual- and augmented…
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…