Adaptive Markovian threshold optimization improves fixation-saccade classification accuracy under noisy conditions across velocity, angular velocity, and dispersion algorithms.
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2 Pith papers cite this work. Polarity classification is still indexing.
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CONF-LA delivers a low-latency online method for line assignment in noisy gaze data that narrows the online-offline performance gap to 1-2% and reaches ~95% median accuracy on children's data.
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Identification of fixations and saccades in eye-tracking data using adaptive threshold-based method
Adaptive Markovian threshold optimization improves fixation-saccade classification accuracy under noisy conditions across velocity, angular velocity, and dispersion algorithms.
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Sure About That Line? Approaching Confidence-Based, Real-Time Line Assignment in Reading Gaze Data
CONF-LA delivers a low-latency online method for line assignment in noisy gaze data that narrows the online-offline performance gap to 1-2% and reaches ~95% median accuracy on children's data.