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August 23, 2025Open Access

Eye-movement benchmark data for smooth-pursuit classification

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Benchmark data classifies eye movements in human participants, highlighting smooth pursuits and fixations.

Accurate classification of eye movements improved with benchmark data and algorithms, enhancing feature extraction.
The dataset consists of almost four hours of eye-tracking data with ten participants across different target types.
Stimuli designed to prevent overlap of fixations and smooth pursuits enabled clear classification of eye movements.
Open access to both raw data and preprocessing tools facilitates feature engineering and algorithm training.

Korthals et al. (2025) studied this question.

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