Large EEG Database with User Profiles for Motor Imagery BCI Research
Dreyer Pauline from the Centre National de la Recherche Scientifique shares a database of electroencephalographic signals from 87 human participants, with more than 20,800 trials representing about 70 hours of recording. The data was collected during brain-computer interface experiments at Inria Bordeaux sud-ouest, France, and organized into three datasets (A, B, and C) following a protocol for right and left hand motor imagery tasks. It includes user performance, demographics, personality, cognitive profiles, and experimental codes executed in the OpenViBE platform.