BCIT Baseline Driving

## BCIT Baseline Driving

### Introduction

**Overview:** The Baseline Driving study was designed to collect extended time-on-task measurements of
subjects performing a driving task in a simulated environment in order to assess fatigue-based performance
through novel biomarkers. The Baseline Driving study was intended to identify periods of driver fatigue
via predictive algorithms formulated from the analysis of driver EEG data, in comparison to the objective
performance measures, and in contrast with the (non-fatigued) Calibration driving session for the subject.

Baseline driving data sets were designed to be the second component of every recording session within the
BCIT program, which featured multiple studies investigating fatigue.

Collectively, the Baseline Driving recordings comprise a virtual study, in which long time-on-task
driving performance can be analyzed for fatigue-related EEG biomarkers based on measured driving
performance degradation. Further information is available on request from [cancta.net](https://cancta.net).

The task was performed using identical systems at three different sites:

- Army Research Laboratory, Aberdeen MD (T1)
- Teledyne Corporation, Durham, NC (T2)
- Science Applications International Corporation (SAIC), Louisville, CO (T3)

All sites used identical driving simulator setups.
The data collected at site T1 used a 64-channel Biosemi EEG headset as did the data collected at site T2,
while site T3 used a 256-channel Biosemi EEG headset.

Data from site T1 has legacy subject IDs in the range 1000 to 1999.
Data from site T2 has legacy subject IDs in the range 2000 to 2999.
Data from site T3 has legacy subject IDs in the range 3000 to 3999.
Legacy subject IDs are unique across the entire BCIT program.

### Methods

**Subjects:** Subjects at Aberdeen Proving Grounds were recruited, on a voluntary basis from among
the scientists and engineers working at APG.

Subjects recruited by Teledyne and SAIC were found via advertising and community outreach efforts,
and primarily consisted of local college students.

**Apparatus:** Driving simulator with steering wheel and brake / foot pedals (Real Time Technologies; Dearborn, MI);
Video Refresh Rate (VRR) = 900 Hz; Vehicle data log file Sampling Rate (SR) = 100 Hz);
EEG (BioSemi 256 (+8) channel systems with 4 eye and 2 mastoid channels recorded; SR=1024 Hz);
Eye Tracking (Sensomotoric Instruments (SMI); REDEYE250). Eye tracking data is not included in this dataset.

**Initial setup:** Upon arrival to the lab, subjects were given an introduction to the primary
study for which they were recruited and provided informed consent and provided demographics information.
This was followed by a practice session, to acclimate the subject to the driving simulator.
The driving practice task lasted 10-15 min, until asymptotic performance in steering and speed
control was demonstrated and lack of motion sickness was reported. Subjects were then outfitted
and prepped for eye tracking and EEG acquisition.

**Task organization:** Subjects always began recording sessions by performing a Calibration Driving task,
which was a 15-minute drive where the subject controlled only the steering (and speed was controlled by the simulator).

Following this, subjects would perform the Baseline Driving task and the Guard Duty task,
with counter-balancing used across subjects as to which of them came first.

The Baseline Driving run was 60 minutes of driving, performed in 6 blocks of 10 minutes each,
with subjects responsible for speed and steering control.

The subject was instructed to stay within the boundaries of the right-most lane,
and to drive at the posted speed limits. The vehicle was periodically subject to lateral perturbing forces,
which could be applied to either side of the vehicle, pushing the vehicle out of the center of the lane;
and the subject was instructed to execute corrective steering actions to return the vehicle to the center of the lane.

**Independent variables:** For T1 (ARL) and T3 (SAIC) there were no independent variables.
For T2 data sets (Teledyne), independent variables were Visual Complexity (high vs. low),
Perturbation Frequency (high vs. low).

**Dependent variables:** Reaction times to perturbations, continuous performance based
on vehicle log (steering wheel angle, lane position, heading error, etc.),
Task-Induced Fatigue Scale (TIFS), Karolinska Sleepiness Scale (KSS), Visual Analog Scale of Fatigue (VAS-F).
Note: questionnaire data is available upon request from [cancta.net](https://cancta.net).

**Additional data acquired:** Participant Enrollment Questionnaire, Subject Questionnaire for Current Session,
Simulator Sickness Questionnaire.

**Experimental Locations:** Army Research Laboratory, Aberdeen MD (site T1);
Teledyne Corporation, Durham, NC (site T2);
Science Applications International Corporation (SAIC), Louisville, CO (site T3).

**Note 1:** This dataset has a corresponding dataset in the BCIT Calibration Driving ds004118 which has the
15 minute driving task performed prior to this one.

**Note 2:** Some of the subjects in this dataset performed either the BCIT Basic Guard Duty Task (ds004118) or
the BCIT Advanced Guard Duty Task (ds004106) counterbalanced during the same session.

BCIT 基线驾驶研究

### 概述
**概述：** 本基线驾驶研究旨在收集受试者在模拟环境中完成驾驶任务的延长任务时长数据，以通过新型生物标志物评估疲劳相关的作业表现。本研究旨在通过分析驾驶员脑电图(EEG)数据构建预测算法，识别驾驶员疲劳时段，并将其与客观作业表现指标以及受试者的非疲劳校准驾驶阶段进行对比。

基线驾驶数据集是BCIT项目中所有记录环节的第二部分，该项目包含多项针对疲劳的研究。总体而言，基线驾驶记录构成一项虚拟研究，可基于实测的驾驶表现衰减情况，分析长时长任务驾驶表现与疲劳相关的EEG生物标志物。如需获取更多信息，可联系[cancta.net](https://cancta.net)。

该任务在三个不同站点使用完全一致的系统完成：
- 马里兰州阿伯丁陆军研究实验室（Army Research Laboratory, Aberdeen MD，简称T1）
- 北卡罗来纳州达勒姆Teledyne公司（Teledyne Corporation, Durham, NC，简称T2）
- 科罗拉多州路易斯维尔科学应用国际公司（Science Applications International Corporation, SAIC，简称T3）

所有站点均采用完全一致的驾驶模拟器配置。T1与T2站点采集的数据均使用64通道Biosemi EEG头戴设备，而T3站点则采用256通道Biosemi EEG头戴设备。

T1站点的数据的传统受试者ID范围为1000至1999；T2站点的数据的传统受试者ID范围为2000至2999；T3站点的数据的传统受试者ID范围为3000至3999。所有传统受试者ID在整个BCIT项目中均唯一。

### 研究方法
**受试者招募：** 位于阿伯丁试验场的受试者从该场地工作的科研人员与工程师中自愿招募；Teledyne与SAIC招募的受试者则通过广告宣传与社区拓展活动招募，主要为当地高校学生。

**实验设备：** 驾驶模拟器（配备方向盘与制动/脚踏踏板，来自密歇根州迪尔伯恩的Real Time Technologies公司）；视频刷新率(Video Refresh Rate, VRR)=900Hz；车辆数据日志文件采样率(Sampling Rate, SR)=100Hz；脑电图(EEG)设备：BioSemi 256(+8)通道系统，记录4个眼电通道与2个乳突通道，采样率=1024Hz；眼动追踪设备：Sensomotoric Instruments(SMI) REDEYE250。本数据集不包含眼动追踪数据。

**实验前期准备：** 受试者抵达实验室后，首先会被介绍本次招募参与的核心研究内容，签署知情同意书并填写人口统计学信息。随后进行练习环节，帮助受试者适应驾驶模拟器。驾驶练习时长为10至15分钟，直至受试者在转向与速度控制方面达到渐近稳定的表现，且未报告出现晕动症。之后受试者将佩戴设备，准备进行眼动追踪与EEG数据采集。

**任务流程设计：** 受试者的记录环节始终以校准驾驶任务（Calibration Driving task）为起始：该任务时长15分钟，受试者仅控制方向盘，车辆速度由模拟器自动控制。完成校准任务后，受试者将依次完成基线驾驶任务与值守任务，两个任务的执行顺序在受试者间采用平衡抵消设计。

基线驾驶任务总时长为60分钟，分为6个10分钟的区块，受试者需同时控制车辆速度与方向盘。受试者需保持车辆行驶在最右侧车道内，并严格遵守规定限速。车辆会周期性受到侧向扰动外力，可作用于车辆两侧，将车辆推离车道中心；受试者需通过修正转向操作将车辆驶回车道中心。

**自变量：** T1（陆军研究实验室，ARL）与T3（SAIC）站点的数据集无自变量；T2（Teledyne）站点的数据集自变量为视觉复杂度（高/低）与扰动频率（高/低）。

**因变量：** 对扰动的反应时、基于车辆日志的连续作业表现（方向盘角度、车道位置、航向误差等）、任务诱导疲劳量表(Task-Induced Fatigue Scale, TIFS)、卡罗林斯卡嗜睡量表(Karolinska Sleepiness Scale, KSS)以及疲劳视觉模拟量表(Visual Analog Scale of Fatigue, VAS-F)。注：问卷数据可通过[cancta.net](https://cancta.net)申请获取。

**额外采集数据：** 受试者入组问卷、当次实验受试者问卷以及模拟器晕动症问卷。

**实验站点：** 马里兰州阿伯丁陆军研究实验室（T1站点）；北卡罗来纳州达勒姆Teledyne公司（T2站点）；科罗拉多州路易斯维尔科学应用国际公司(SAIC)（T3站点）。

**备注1：** 本数据集对应BCIT校准驾驶数据集（ds004118），该数据集包含本实验前的15分钟驾驶任务数据。

**备注2：** 本数据集部分受试者在同一次实验环节中还完成了BCIT基础值守任务（ds004118）或BCIT高级值守任务（ds004106），任务执行顺序采用平衡抵消设计。

搜集汇总

背景与挑战

背景概述

BCIT Baseline Driving是一个EEG数据集，专注于研究长时间驾驶模拟任务中的疲劳生物标志物，涉及109名参与者在三个地点进行的60分钟驾驶实验。数据集包括高采样率的脑电图数据和驾驶性能指标，旨在通过EEG分析预测驾驶疲劳，并与校准驾驶任务相关联以对比非疲劳状态。