Multimodal Recognition of Cognitive Workload for Multitasking in the Car
Multimodal Recognition of Cognitive Workload for Multitasking in the Car
复制标题
汽车多任务处理认知工作负载的多模态识别
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Tanja Schultz
中科院分区：
文献类型：
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作者：
F. Putze;J. Jarvis;Tanja Schultz
这项工作描述了一个识别器的开发和评估，用于不同水平的汽车认知工作量。在驾驶模拟器的实验中，我们收集了多个生物信号流（皮肤电导、脉搏、呼吸、脑电图），驾驶员在其中执行主要驾驶任务和几个不同难度的次要任务。从这些数据中，训练和评估了基于SVM的工作负载分类器，对三个级别的工作负载产生高达的识别率。
This work describes the development and evaluation of a recognizer for different levels of cognitive workload in the car. We collected multiple biosignal streams (skin conductance, pulse, respiration, EEG) during an experiment in a driving simulator in which the drivers performed a primary driving task and several secondary tasks of varying difficulty. From this data, an SVM based workload classifier was trained and evaluated, yielding recognition rates of up to for three levels of workload.