An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios

The fNIRS dataset focus on the prefrontal cortex activity in fourteen types of highly automated driving scenarios, which considers age, sex and driving experience factors, and contains the data of an 8-channel fNIRS device and driving scenarios. A total of 20 participants completed this driving simulator experiment，and each participant need to finish 12 tasks. Their ages range from 21 to 46 years old, with 5 females and 15 males. Our objective is to provides the data support for finding the difference of prefrontal cortex activity between low-risk and high-risk episodes by quantifying the risk of driving scenarios. This research may provide a solution to prevent potential hazard and improve SOTIF based on brain-computer interface technology and fNIRS, in the future. ## Notes - Here a total of 240 tasks which are need to be completed by 20 participants，and the data about 20 tasks is removed because the data are not recorded correctly. - We update the results of subjective evaluations about dangerous degree of VTD segment, and they are shown in the file "participants.tsv". ## How to cite? doi:10.18112/openneuro.ds004973.v1.0.0本功能性近红外光谱成像（functional near-infrared spectroscopy, fNIRS）数据集聚焦14类高度自动驾驶场景下的前额叶皮层活动，纳入年龄、性别与驾驶经验三类影响因素，包含8通道fNIRS设备采集的数据与驾驶场景相关数据。共计20名受试者参与本次驾驶模拟器实验，每名受试者需完成12项任务。受试者年龄跨度为21至46岁，其中女性5名，男性15名。 本数据集旨在通过量化驾驶场景风险等级，为探究低风险与高风险驾驶场景时段前额叶皮层活动的差异提供数据支撑。未来本研究可基于脑机接口技术与fNIRS技术，为潜在交通安全隐患的防控以及预期功能安全（Safety of the Intended Functionality, SOTIF）的提升提供可行方案。 ## 备注 - 原计划20名受试者共计完成240项任务，其中20项任务因数据采集异常被剔除。 - 我们更新了VTD片段危险程度的主观评价结果，相关结果存储于"participants.tsv"文件中。 ## 引用方式 DOI: 10.18112/openneuro.ds004973.v1.0.0

搜集汇总

背景与挑战

背景概述

该数据集是一个功能性近红外光谱（fNIRS）数据集，专注于研究高度自动驾驶场景中乘客的驾驶风险认知，通过采集20名参与者（年龄21-46岁，5名女性，15名男性）在14种驾驶场景下的前额叶皮层活动数据（使用8通道fNIRS设备），旨在为分析低风险与高风险事件的大脑活动差异提供支持，以基于脑机接口技术预防潜在危险。数据集包含240个任务（其中20个因记录问题被移除），总计2.32GB的1175个文件，采用CC0许可证开放共享。