Eye movement benchmark data for smooth-pursuit classification
Abstract Analysis of eye tracking data often requires accurate classification of eye movement events. Human experts and classification algorithms often confuse episodes of fixations (fixating stationary targets) and smooth pursuits (fixating moving targets) because their feature characteristics over...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2026-03-01
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| Серии: | Scientific Data |
| Online-ссылка: | https://doi.org/10.1038/s41597-026-06963-4 |
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