Multi-modal Data Acquisition Platform for Behavioral Evaluation

This dataset contains multiple physiological signal modalities, including “functional near-infrared spectroscopy” (fNIRS), “electroencephalography” (EEG), pupillometry, respiration, electrodermal activity, and beat-to-beat plethysmography acquired from eighty healthy participants recruited from the local community as they drove in a realistic driving simulator. To empirically generate different levels of systemic human cognitive states, we asked the participants to complete secondary tasks while driving.