EyeTrackingVRDataset

A multimodal dataset of paired head and eye movements acquired in controlled virtual reality environments. Our<br>data includes head and eye movement for 20 volunteers that interacted with four different virtual reality environments that required coordinated head and eye behaviors. Our data collection involved two visual pursuit tasks and two visual searching tasks. Each participant performed each task three times, resulting in approximately 1080 seconds of paired head and eye movement per participant. This dataset enables research into predictive models of intended head movement conditioned on gaze for augmented and virtual reality experiences, as well as assistive devices like powered exoskeletons for individuals with head-neck mobility limitations. This dataset also allows biobehavioral and mechanism studies of the variability in head and eye movement across different participants and tasks.本数据集为在受控虚拟现实（Virtual Reality，VR）环境中采集的头部与眼动配对多模态数据集。我们采集的数据涵盖20名志愿者的头部与眼动数据，这些志愿者曾在4种需要协调头部与眼动行为的不同虚拟现实环境中完成交互。本次数据采集包含两项视觉追随任务与两项视觉搜索任务。每名参与者需完成每项任务共3次，最终每名参与者可获得约1080秒的头部与眼动配对数据。本数据集可支持增强现实（Augmented Reality，AR）与虚拟现实场景中基于注视条件的意向头部运动预测模型的研究，同时也可用于为头颈活动受限人群设计的动力外骨骼（powered exoskeletons）等辅助设备的相关研发。此外，该数据集还可用于开展跨参与者与跨任务场景下头部与眼动变异性的生物行为学与机制研究。

搜集汇总

背景与挑战

背景概述

该数据集是一个多模态虚拟现实眼动追踪数据集，包含20名志愿者在四种VR环境（两种视觉追踪和两种视觉搜索任务）中采集的配对头眼运动数据，每人每任务执行三次，总计约1080秒数据。数据集旨在支持AR/VR预测模型、辅助设备开发以及头眼协调的生物行为机制研究。