16 citations · 47 across the 12 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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-…
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…
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…
Filtering Eye-Tracking Data From an EyeLink 1000: Comparing Heuristic, Savitzky-Golay, IIR and FIR Digital Filters
Mehedi H. Raju, Lee Friedman, Troy M. Bouman +1
In a previous report (Raju et al.,2023) we concluded that, if the goal was to preserve events such as saccades, microsaccades, and smooth pursuit in eye-tracking recordings, data w…
Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series
Mehedi H. Raju, Lee Friedman, Troy M. Bouman +1
The Fourier theorem states that any time-series can be decomposed into a set of sinusoidal frequencies, each with its own phase and amplitude. The literature suggests that some fre…
Analysis of Heuristic and Digital Filters as Applied to Video-oculography Signals
Mehedi H. Raju, Lee Friedman, Troy M. Bouman +1
In 1993, Stampe [1993] suggested two "heurisitic" filters that were designed for video-oculography data. Several manufacturers (e.g., SR-Research, Tobii T60 XL and SMI) have employ…