Oleg V. Komogortsev
Texas State University
Human–computer interactionSaccadic maskingIris recognitionFixation (visual)Eye movementArtificial intelligenceKalman filterHuman visual system modelUsabilityPattern recognitionBiometricsVirtual realityUsability inspectionPerceptionSaccadeGazeHuman eyeComputer visionWord error rateComputer scienceEye trackingIdentification (information)
147Publications
28H-index
2,101Citations
Publications 145
Newest
#1Samantha Aziz (Texas State University)H-Index: 3
#2Oleg V. Komogortsev (Texas State University)H-Index: 28
We present an analysis of the eye tracking signal quality of the HoloLens 2s integrated eye tracker. Signal quality was measured from eye movement data captured during a random saccades task from a new eye movement dataset collected on 30 healthy adults. We characterize the eye tracking signal quality of the device in terms of spatial accuracy, spatial precision, temporal precision, linearity, and crosstalk. We are the first to measure linearity and crosstalk in the HoloLens 2. Most notably, our...
#1Lee FriedmanH-Index: 43
#2Timothy HansonH-Index: 28
Last. Oleg V. KomogortsevH-Index: 28
view all 3 authors...
#1Henry Griffith (Texas State University)H-Index: 5
#2Dillon J. Lohr (Texas State University)H-Index: 4
Last. Oleg V. Komogortsev (Texas State University)H-Index: 28
view all 4 authors...
This manuscript presents GazeBase, a large-scale longitudinal dataset containing 12,334 monocular eye-movement recordings captured from 322 college-aged participants. Participants completed a battery of seven tasks in two contiguous sessions during each round of recording, including a - (1) fixation task, (2) horizontal saccade task, (3) random oblique saccade task, (4) reading task, (5/6) free viewing of cinematic video task, and (7) gaze-driven gaming task. Nine rounds of recording were conduc...
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Abstract The COVID-19 pandemic has devastated individuals, families, and institutions throughout the world. Despite the breakneck speed of vaccine development, the human population remains at risk of further devastation. The decision to not become vaccinated, the protracted rollout of available vaccine, vaccine failure, mutational forms of the SARS virus, which may exhibit mounting resistance to our molecular strike at only one form of the viral family, and the rapid ability of the virus(es) to ...
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#1Cristina PalmeroH-Index: 7
#2Abhishek SharmaH-Index: 60
Last. Sachin S. Talathi (Facebook)H-Index: 20
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This paper summarizes the OpenEDS 2020 Challenge dataset, the proposed baselines, and results obtained by the top three winners of each competition: (1) Gaze prediction Challenge, with the goal of predicting the gaze vector 1 to 5 frames into the future based on a sequence of previous eye images, and (2) Sparse Temporal Semantic Segmentation Challenge, with the goal of using temporal information to propagate semantic eye labels to contiguous eye image frames. Both competitions were based on the ...
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#1Lee Friedman (Texas State University)H-Index: 43
#3Timothy HansonH-Index: 28
Typically, the position error of an eye-tracking device is measured as the distance of the eye-position from the target position in two-dimensional space (angular offset). Accuracy is the mean angular offset. The mean is a highly interpretable measure of central tendency if the underlying error distribution is unimodal and normal. However, in the context of an underlying multimodal distribution, the mean is less interpretable. We will present evidence that the majority of such distributions are ...
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#1Dillon J. Lohr (Texas State University)H-Index: 4
#2Henry GriffithH-Index: 5
Last. Oleg V. Komogortsev (Texas State University)H-Index: 28
view all 3 authors...
While numerous studies have explored eye movement biometrics since the modality's inception in 2004, the permanence of eye movements remains largely unexplored as most studies utilize datasets collected within a short time frame. This paper presents a convolutional neural network for authenticating users using their eye movements. The network is trained with an established metric learning loss function, multi-similarity loss, which seeks to form a well-clustered embedding space and directly enab...
#1Lee FriedmanH-Index: 43
#1Lee FriedmanH-Index: 43
#2Timothy HansonH-Index: 28
Last. Oleg V. KomogortsevH-Index: 28
view all 0 authors...
#2Nick Hogan (University of Texas at Austin)H-Index: 1
Last. Teresa C. FrohmanH-Index: 37
view all 18 authors...
The patient is a right-handed White woman with relapsing-remitting MS diagnosed subsequent to left acute optic neuritis (AON). She described a previous transient episode of severe, electrical, and paroxysmal facial pain consistent with trigeminal neuralgia. Initial MRI demonstrated supratentorial
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