Treffer: Eye-movement benchmark data for smooth-pursuit classification.

The article focuses on the development of a benchmark dataset aimed at improving the classification of eye-movement events, specifically distinguishing between fixations and smooth pursuits. Researchers created a dataset comprising nearly four hours of eye-tracking data from ten participants, designed to prevent the overlap of these movements, thereby establishing a clear ground truth. The dataset, along with a companion Python package for preprocessing and labeling, is made available for researchers to enhance feature engineering and algorithm training. The preprint has not undergone peer review. [Extracted from the article]

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