A multimodal dataset for various forms of distracted driving
A multimodal dataset for various forms of distracted driving
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针对各种形式的分心驾驶的多模式数据集
作者：
S. Taamneh;P. Tsiamyrtzis;M. Dcosta;P. Buddharaju;Ashik Khatri;M. Manser;T. Ferris;R. Wunderlich;I. Pavlidis
我们描述了在驾驶模拟器上的受控实验中获得的多模态数据集。该数据集包括68名志愿者的数据，他们在四种不同的条件下驾驶同一条高速公路：没有分心，认知分心，情绪分心和感觉运动分心。实验以一个特殊的驾驶阶段结束，所有的受试者都经历了一个意外加速形式的惊吓刺激，其中一半人处于混合分心状态，另一半人没有分心。在实验驱动器的关键响应变量和几个解释变量连续记录。响应变量包括速度、加速度、制动力、转向和车道位置信号，而解释变量包括鼻周皮肤电活动（EDA）、手掌EDA、心率、呼吸率和面部表情信号;还获得了传记和心理测量协变量以及眼动跟踪数据。这个数据集可以研究在巧妙抽象的分散注意力的压力下的驾驶行为，这是许多车祸的原因。该集合还可以用于生理通道基准测试和多光谱人脸识别。设计类型交叉设计·平行组设计测量类型成像分析·生理分析技术类型数码相机·数据采集系统因素类型年龄·实验条件·生物性别样本特征智人设计类型交叉设计·平行组设计测量类型成像分析·生理分析技术类型数码相机·数据采集系统因素类型年龄·实验条件·生物性别样本特征智人描述报告数据的机器可访问元数据文件（ISA-Tab格式）
We describe a multimodal dataset acquired in a controlled experiment on a driving simulator. The set includes data for n=68 volunteers that drove the same highway under four different conditions: No distraction, cognitive distraction, emotional distraction, and sensorimotor distraction. The experiment closed with a special driving session, where all subjects experienced a startle stimulus in the form of unintended acceleration—half of them under a mixed distraction, and the other half in the absence of a distraction. During the experimental drives key response variables and several explanatory variables were continuously recorded. The response variables included speed, acceleration, brake force, steering, and lane position signals, while the explanatory variables included perinasal electrodermal activity (EDA), palm EDA, heart rate, breathing rate, and facial expression signals; biographical and psychometric covariates as well as eye tracking data were also obtained. This dataset enables research into driving behaviors under neatly abstracted distracting stressors, which account for many car crashes. The set can also be used in physiological channel benchmarking and multispectral face recognition. Design Type(s) cross over design • parallel group design Measurement Type(s) imaging assay • physiological assay Technology Type(s) digital camera • data acquisition system Factor Type(s) age • experimental condition • biological sex Sample Characteristic(s) Homo sapiens Design Type(s) cross over design • parallel group design Measurement Type(s) imaging assay • physiological assay Technology Type(s) digital camera • data acquisition system Factor Type(s) age • experimental condition • biological sex Sample Characteristic(s) Homo sapiens Machine-accessible metadata file describing the reported data (ISA-Tab format)