Oleg Komogortsev, Ph.D
Affiliations: | 2007- | Computer Science | Texas State University, San Marcos, San Marcos, TX, United States |
Area:
cybersecurity (biometrics), human computer interaction, eye tracking, bioengineering, interdiciplinary researchWebsite:
http://cs.txstate.edu/~ok11/Google:
"Oleg Komogortsev"Mean distance: 12098
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Publications
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Melnyk K, Friedman L, Komogortsev OV. (2024) What can entropy metrics tell us about the characteristics of ocular fixation trajectories? Plos One. 19: e0291823 |
Friedman L, Prokopenko V, Djanian S, et al. (2022) Factors affecting inter-rater agreement in human classification of eye movements: a comparison of three datasets. Behavior Research Methods |
Palmero C, Sharma A, Behrendt K, et al. (2021) OpenEDS2020 Challenge on Gaze Tracking for VR: Dataset and Results. Sensors (Basel, Switzerland). 21 |
Griffith H, Lohr D, Abdulin E, et al. (2021) GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset. Scientific Data. 8: 184 |
Griffith H, Lohr D, Abdulin E, et al. (2021) GazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset. Scientific Data. 8: 184 |
Rigas I, Friedman L, Komogortsev O. (2018) Study of an Extensive Set of Eye Movement Features: Extraction Methods and Statistical Analysis. Journal of Eye Movement Research. 11 |
Reppert TR, Rigas I, Herzfeld D, et al. (2018) Movement vigor as a trait-like attribute of individuality. Journal of Neurophysiology |
Zemblys R, Niehorster DC, Komogortsev O, et al. (2017) Using machine learning to detect events in eye-tracking data. Behavior Research Methods |
Rigas I, Komogortsev OV. (2017) Current research in eye movement biometrics: An analysis based on BioEye 2015 competition Image and Vision Computing. 58: 129-141 |
Rigas I, Komogortsev O, Shadmehr R. (2016) Biometric recognition via eye movements: Saccadic vigor and acceleration cues Acm Transactions On Applied Perception. 13 |