论文标题
凉亭，一种大规模，纵向，双眼追踪数据集，收集在虚拟现实中
GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking dataset collected in virtual reality
论文作者
论文摘要
我们提出了一种大规模，纵向，双眼向目击（ET）的数据集，该数据集以250 Hz收集，具有ET启用的虚拟现实（VR）耳机。凉亭为407名大学生参与者的人口包括5,020个双眼录音。在26个月的时间内，每次执行一系列不同的ET任务时，每次记录参与者最多六次：（1）一个格式任务，（2）一项水平平稳的追求任务，（3）视频观看任务，（4）自节奏的阅读任务，以及（5）随机的斜斜线萨科克斯（Sacaccade Saccade Saccade）。这些参与者中的许多参与者也已被记录在两个先前发布的具有不同ET设备的数据集的记录，并且在Covid-19-19感染和恢复之前和之后记录了一些参与者。 CeazebaseVR适用于VR设备中对ET数据的广泛研究，尤其是由于其人口较大和纵向性质而导致的眼睛运动生物识别技术。除了ET数据外，还提供了其他参与者详细信息，以实现有关公平等主题的进一步研究。
We present GazeBaseVR, a large-scale, longitudinal, binocular eye-tracking (ET) dataset collected at 250 Hz with an ET-enabled virtual-reality (VR) headset. GazeBaseVR comprises 5,020 binocular recordings from a diverse population of 407 college-aged participants. Participants were recorded up to six times each over a 26-month period, each time performing a series of five different ET tasks: (1) a vergence task, (2) a horizontal smooth pursuit task, (3) a video-viewing task, (4) a self-paced reading task, and (5) a random oblique saccade task. Many of these participants have also been recorded for two previously published datasets with different ET devices, and some participants were recorded before and after COVID-19 infection and recovery. GazeBaseVR is suitable for a wide range of research on ET data in VR devices, especially eye movement biometrics due to its large population and longitudinal nature. In addition to ET data, additional participant details are provided to enable further research on topics such as fairness.
