Brain-Computer Interface - Motor Imagery Data

dc.contributor.authorBlankertz, Benjamin
dc.contributor.authorVidaurre, Carmen
dc.contributor.authorSannelli, Claudia
dc.contributor.authorKübler, Andrea
dc.contributor.authorHalder, Sebastian
dc.contributor.authorHammer, Eva-Maria
dc.date.accessioned2019-02-11T12:15:00Z
dc.date.available2019-02-11T12:15:00Z
dc.date.issued2019-01
dc.description.abstractWe provide a data set of a BCI study using a motor imagery paradigm. In a calibration session, participants were instructed by cues to perform different types of imagined movements. The pair of classes resulting in the most promising discrimination was chosen and a classifier was trained. That classifier was used in the feedback session to let the participants move a cursor horizontally according to the motor imagery they performed. Details about the experimental paradigm can be found in: Blankertz B, Sannelli C, Halder S, Hammer EM, Kübler A, Müller KR, Curio G, Dickhaus T, Neurophysiological Predictor of SMR-Based BCI Performance NeuroImage, 51(4):1303-1309, 2010 [ http://dx.doi.org/10.1016/j.neuroimage.2010.03.022 ]. Data is provided preprocessed in order to supplement the publication: Sannelli C, Vidaurre C, Müller KR, Blankertz B. A large scale screening study with a SMR-based Brain-Computer Interface: categorization of BCI users and differences in their SMR activity. PLoS One 2019.en
dc.description.sponsorshipDFG, 33832556, Verbesserung interaktiven Lernens von Mensch und Maschine zur Überwindung der Unfähigkeit eine Gehirn-Computer Schnittstelle zu steuernen
dc.identifier.urihttps://depositonce.tu-berlin.de//handle/11303/8979
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-8102
dc.language.isoenen
dc.relation.issupplementtohttp://dx.doi.org/10.14279/depositonce-9422
dc.relation.referenceshttp://dx.doi.org/10.1016/j.neuroimage.2010.03.022
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subject.ddc612en
dc.subject.otherBrain-Computer Interfaceen
dc.subject.otherHuman-Computer Interfactionen
dc.subject.otherMotor Imageryen
dc.subject.otherSensory Motor Rhythmen
dc.titleBrain-Computer Interface - Motor Imagery Dataen
dc.typeGeneric Research Dataen
tub.accessrights.dnbfree*
tub.affiliationFak. 4 Elektrotechnik und Informatik>Inst. Softwaretechnik und Theoretische Informatik>FG Neurotechnologiede
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Neurotechnologiede
tub.affiliation.instituteInst. Softwaretechnik und Theoretische Informatikde
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