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Article
Open AccessGazeBase, a large-scale, multi-stimulus, longitudinal eye movement dataset
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 ...
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Chapter and Conference Paper
Domain Adaptation for Eye Segmentation
Domain adaptation (DA) has been widely investigated as a framework to alleviate the laborious task of data annotation for image segmentation. Most DA investigations operate under the unsupervised domain adapt...
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Chapter and Conference Paper
Hierarchical HMM for Eye Movement Classification
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. The efficient classification of thes...
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Chapter and Conference Paper
Towards Reduced Latency in Saccade Landing Position Prediction Using Velocity Profile Methods
Saccade landing position prediction algorithms are a promising approach for improving the performance of gaze-contingent rendering systems. Amongst the various techniques considered in the literature, velocit...
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Article
Using machine learning to detect events in eye-tracking data
Event detection is a challenging stage in eye movement data analysis. A major drawback of current event detection methods is that parameters have to be adjusted based on eye movement data quality. Here we show...
