13 papers
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…