40 citations · 45 across the 8 of their papers we have counts for
9 papers
Privacy Enhancement for Gaze Data Using a Noise-Infused Autoencoder
Samantha Aziz, Oleg Komogortsev
We present a privacy-enhancing mechanism for gaze signals using a latent-noise autoencoder that prevents users from being re-identified across play sessions without their consent,…
Evaluating Eye Tracking Signal Quality with Real-time Gaze Interaction Simulation
Mehedi Hasan Raju, Samantha Aziz, Michael J. Proulx +1
We present a real-time gaze-based interaction simulation methodology using an offline dataset to evaluate the eye-tracking signal quality. This study employs three fundamental eye-…
Exploring the Uncoordinated Privacy Protections of Eye Tracking and VR Motion Data for Unauthorized User Identification
Samantha Aziz, Oleg Komogortsev
Virtual reality (VR) sensors capture large amounts of user data, including body motion and eye tracking, that contain personally identifying information. While privacy-enhancing te…
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…
Assessing the Privacy Risk of Cross-Platform Identity Linkage using Eye Movement Biometrics
Samantha Aziz, Oleg Komogortsev
The recent emergence of ubiquitous, multi-platform eye tracking has raised user privacy concerns over re-identification across platforms, where a person is re-identified across mul…
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…
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…
An Assessment of the Eye Tracking Signal Quality Captured in the HoloLens 2
Samantha D. Aziz, Oleg V. Komogortsev
We present an analysis of the eye tracking signal quality of the HoloLens 2s integrated eye tracker. Signal quality was measured from eye movement data captured during a random sac…