3 citations · 7 across the 11 of their papers we have counts for
14 papers
Gaze Under Strain: How Oculomotor Behavior Tracks Cybersickness Progression in VR
Nevzat Umut Demirseren, Mehedi Hasan Raju, Oleg Komogortsev +1
Cybersickness remains a major barrier to comfortable, accessible virtual reality (VR). Arising from mismatches between visual and vestibular signals, it places sustained demands on…
EyeMakeYou: Identity-, Task-, and Subjective-State-Conditioned Diffusion for High-Frequency Gaze Synthesis
Kamrul Hasan, Mehedi Hasan Raju, Oleg V. Komogortsev
Eye movement biometrics (EMB) is an emerging behavioral modality for user authentication, particularly in virtual- and augmented-reality systems, where gaze dynamics contain distin…
Towards Robust Iris Recognition Through Occlusion Identification and Conditional Diffusion-Based Reconstruction
Kamrul Hasan, Mylene C. Q. Farias, Oleg V. Komogortsev
Iris recognition is a reliable biometric approach that identifies individuals using the distinctive and stable texture of the iris. However, recognition performance can degrade whe…
Enhancing Eye Movement Biometrics for User Authentication via Continuous Gaze Offset Score Fusion
Hashim Aziz, Mehedi Hasan Raju, Oleg V. Komogortsev
Eye movement biometrics (EMB) use subject-specific gaze dynamics for user authentication and identification. Recent deep learning-based EMB systems achieve strong performance by mo…
Eye Feel You: A DenseNet-driven User State Prediction Approach
Kamrul Hasan, Oleg V. Komogortsev
Subjective self-reports, collected with eye-tracking data, reveal perceived states like fatigue, effort, and task difficulty. However, these reports are costly to collect and chall…
Privatization of Synthetic Gaze: Attenuating State Signatures in Diffusion-Generated Eye Movements
Kamrul Hasan, Oleg V. Komogortsev
The recent success of deep learning (DL) has enabled the generation of high-quality synthetic data, advancing the development of data-driven biometric applications. Among various b…
Quantitative and Qualitative Comparison of Generative Models for Subject-Specific Gaze Synthesis: Diffusion vs GANs
Kamrul Hasan, Dmytro Katrychuk, Mehedi Hasan Raju +1
Gaze-based biometrics has emerged as a promising approach for user authentication, but advances in this area are constrained by the limited availability of high-quality, subject-sp…
Privacy-Preserving Gaze Interaction: Reducing Re-Identification Without Degrading Utility
Mehedi Hasan Raju, Oleg V. Komogortsev
Gaze-based interaction is emerging as a standard input modality on consumer extended-reality (XR) devices. Yet each gaze input constitutes an involuntary biometric disclosure, as t…
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…
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,…
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…
Gaze Prediction as a Function of Eye Movement Type and Individual Differences
Kateryna Melnyk, Lee Friedman, Dmytro Katrychuk +1
Eye movement prediction is a promising area of research with the potential to improve performance and the user experience of systems based on eye-tracking technology. In this study…
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…