A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces

Published on 2018-10-11T13:52:16Z (GMT) by
This is an electroencephalographic brain-computer interface (EEG BCI) mental imagery dataset collected during development of a slow cortical potentials motor imagery EEG BCI. The dataset contains 60 hours of EEG BCI recordings spread across 75 experiments and 13 participants, featuring 60,000 mental imagery examples in 4 different BCI interaction paradigms with up to 6 EEG BCI interaction states. 4.8 hours of EEG recordings and 4600 mental imagery examples are available per participant, on average, with good longitudinal and lateral dataset span as well as significant EEG BCI interaction complexity.

Cite this collection

Kaya, Murat; Binli, Mustafa Kemal; Ozbay, Erkan; Yanar, Hilmi; Mishchenko, Yuriy (2018): A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces. figshare. Collection.