DriE-Cog Dataset

DriE-Cog, a multimodal collection of physiological, cognitive, and behavioural data for driving emergency response. DriE-Cog includes data from 51 participants across 4 common driving scenarios, each containing 12 driving emergency events. It covers data from eye tracking (ET), electroencephalography (EEG), photovolumetric pulse graph (PPG), galvanic skin response (GSR), and driving behavior. We validated the dataset by examining its completeness, assessing single-modal features differences, and evaluating the classification performance of multimodal data. This dataset not only provides a reliable foundation for in-depth studies on intelligent driving emergency response, but also drivers improvements in safety performance and operational stability