no code implementations • 31 Dec 2024 • Kateryna Melnyk, Dmytro Katrychuk, Lee Friedman, Oleg Komogortsev
In this study, we comprehensively analyze the complexity of the eye movement prediction task associated with subjects.
no code implementations • 17 Apr 2024 • 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 dataset of gaze recordings from 9202 people with a level of eye tracking (ET) signal quality equivalent to modern consumer-facing virtual reality (VR) platforms.
no code implementations • 18 Aug 2020 • Ye Zhu, Yan Yan, Oleg Komogortsev
In this work, we tackle the problem of ternary eye movement classification, which aims to separate fixations, saccades and smooth pursuits from the raw eye positional data.
1 code implementation • 22 Apr 2019 • Samuel-Hunter Berndt, Douglas Kirkpatrick, Timothy Taviano, Oleg Komogortsev
The proper classification of major eye movements, saccades, fixations, and smooth pursuits, remains essential to utilizing eye-tracking data.
no code implementations • 15 Apr 2019 • Evgeniy Abdulin, Lee Friedman, Oleg Komogortsev
Images can be processed offline for the detection of ocular features, including the pupil and corneal reflection (First Purkinje Image, P1) position.
no code implementations • 29 Jul 2017 • Lee Friedman, Oleg Komogortsev
Finally, we use our synthetic database strategy to determine how many features are required to achieve particular levels of performance as the number of subjects in the database increases from 100 to 10, 000.
no code implementations • 27 Mar 2017 • Ioannis Rigas, Lee Friedman, Oleg Komogortsev
This work presents a study on the extraction and analysis of a set of 101 categories of eye movement features from three types of eye movement events: fixations, saccades, and post-saccadic oscillations.