A large EEG database with users' profile information for motor imagery brain-computer interface research.
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ABSTRACT: We present and share a large database containing electroencephalographic signals from 87 human participants, collected during a single day of brain-computer interface (BCI) experiments, organized into 3 datasets (A, B, and C) that were all recorded using the same protocol: right and left hand motor imagery (MI). Each session contains 240 trials (120 per class), which represents more than 20,800 trials, or approximately 70 hours of recording time. It includes the performance of the associated BCI users, detailed information about the demographics, personality profile as well as some cognitive traits and the experimental instructions and codes (executed in the open-source platform OpenViBE). Such database could prove useful for various studies, including but not limited to: (1) studying the
SUBMITTER: Dreyer P
PROVIDER: S-EPMC10480224 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature
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