manD 1.0

manD 1.0 refers to a dataset that contains data from multiple driver monitoring sensors. The dataset is collected from 50 participants, 25 females and 25 males aged between 21 and 65 years. 11 drivers experienced motion sickness during the experiment and stopped it earlier. The remaining drove until end. The dataset includes data from both groups separately. In manD 1.0, for every driver, three modules are available: environment sate that covers the relevant information about environment and surrounding driving situation, vehicle state that presents state and dynamics of the vehicle, and driver state that contains a holistic description of driver in form EEG, ECG, PPG, EDA, skin temperature, seat-pressure distribution, eye tracking data, activity label, facial expression using RGB videos, and performance in non-driving related tasks. The provided data are synchronized and can be used in combination to analyze different aspects such as interpreting, modeling, and predicting driver behavior and driver state, designing interaction strategies, and researching motion sickness.

manD 1.0 指一款集成多类驾驶员监测传感器数据的数据集。该数据集的采集样本为50名受试者，其中女性25名、男性25名，年龄介于21至65岁之间。实验过程中有11名受试者出现晕动症并提前终止了实验流程，其余受试者则顺利完成全部实验。该数据集分别包含男性与女性两个群体的独立数据。在manD 1.0数据集中，每位驾驶员均可获取三类模块的数据：涵盖环境与周边行车态势相关信息的环境状态模块、呈现车辆运行状态与动态参数的车辆状态模块，以及以多模态形式完整描述驾驶员状态的驾驶员状态模块。其中驾驶员状态模块包含的具体数据类型包括：脑电图（Electroencephalogram, EEG）、心电图（Electrocardiogram, ECG）、光电容积描记图（Photoplethysmography, PPG）、皮肤电活动（Electrodermal Activity, EDA）、皮肤温度、座椅压力分布、眼动追踪数据、活动标签、基于RGB视频的面部表情数据，以及非驾驶相关任务的完成表现。本数据集提供的所有数据均经过同步对齐处理，可结合使用以开展多维度分析，具体可用于驾驶员行为与状态的解读、建模与预测，交互策略设计，以及晕动症相关研究。