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End-to-End Eye Movement Detection Using Convolutional Neural Networks
[article]
2016
arXiv
pre-print
Common computational methods for automated eye movement detection - i.e. the task of detecting different types of eye movement in a continuous stream of gaze data - are limited in that they either involve thresholding on hand-crafted signal features, require individual detectors each only detecting a single movement, or require pre-segmented data. We propose a novel approach for eye movement detection that only involves learning a single detector end-to-end, i.e. directly from the continuous
arXiv:1609.02452v1
fatcat:tecalx45dzctvmyks3g5ib7m7y