Data associated with the publication: EyePose: Pose-guided saccadic eye movement video generation for deep learning-based neurologic disease phenotyping
收藏Johns Hopkins Research Data Repository2025-08-12 更新2026-04-18 收录
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https://archive.data.jhu.edu/dataset.xhtml?persistentId=doi:10.7281/T1KON8NZ
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资源简介:
The synthetic dataset comprises 3,000 labeled saccadic eye movement videos evenly distributed across three classes: normal, hypometria, and hypermetria. Each video simulates horizontal saccades with realistic amplitude and velocity patterns, and is annotated based on saccadic accuracy. The videos are sampled at 25 Hz with a resolution of 256×256 pixels, and span approximately 5 seconds, capturing a sequence of multiple saccadic events per clip. For each video, a corresponding waveform is provided. (2025-08)
创建时间:
2025-08-12



