This manuscript presents GazeBase, a large-scale longitudinal dataset containing 12,334 monocular eye-movement recordings captured from 322 college-aged subjects. Subjects completed a battery of seven tasks in two contiguous sessions during each round of recording, including a - 1) fixation task, 2) horizontal saccade task, 3) random oblique saccade task, 4) reading task, 5/6) free viewing of cinematic video task, and 7) gaze-driven gaming task. A total of nine rounds of recording were conducted over a 37 month period, with subjects in each subsequent round recruited exclusively from the prior round. All data was collected using an EyeLink 1000 eye tracker at a 1,000 Hz sampling rate, with a calibration and validation protocol performed before each task to ensure data quality. Due to its large number of subjects and longitudinal nature, GazeBase is well suited for exploring research hypotheses in eye movement biometrics, along with other emerging applications applying machine learning techniques to eye movement signal analysis.

中文翻译：

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GazeBase：大规模、多刺激、纵向眼动数据集

这份手稿展示了 GazeBase，这是一个大型纵向数据集，包含从 322 名大学生受试者中捕获的 12,334 条单眼眼动记录。在每轮录音期间，受试者在两个连续的会话中完成了七项任务，包括 - 1）注视任务，2）水平扫视任务，3）随机斜扫视任务，4）阅读任务，5/6）免费观看电影视频任务，以及 7) 凝视驱动的游戏任务。在 37 个月的时间里，总共进行了九轮录音，随后每一轮的受试者都是从前一轮招募的。所有数据均使用 EyeLink 1000 眼动仪以 1,000 Hz 采样率收集，并在每项任务之前执行校准和验证协议以确保数据质量。由于其大量的学科和纵向性质，