most citedEvaluating Eye Tracking Signal Quality with Real-time Gaze Interaction Simulation

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

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…

cs.CV2025★ 2 cited

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…

cs.CV2025

Reading Recognition in the Wild

Charig Yang, Samiul Alam, Shakhrul Iman Siam +12

To enable egocentric contextual AI in always-on smart glasses, it is crucial to be able to keep a record of the user's interactions with the world, including during reading. In thi…

cs.HC2024★ 3 cited

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-…

cs.CV2024

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…