Brain-Computer Interface - Motor Imagery Data
dc.contributor.author | Blankertz, Benjamin | |
dc.contributor.author | Vidaurre, Carmen | |
dc.contributor.author | Sannelli, Claudia | |
dc.contributor.author | Kübler, Andrea | |
dc.contributor.author | Halder, Sebastian | |
dc.contributor.author | Hammer, Eva-Maria | |
dc.date.accessioned | 2019-02-11T12:15:00Z | |
dc.date.available | 2019-02-11T12:15:00Z | |
dc.date.issued | 2019-01 | |
dc.description.abstract | We 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.sponsorship | DFG, 33832556, Verbesserung interaktiven Lernens von Mensch und Maschine zur Überwindung der Unfähigkeit eine Gehirn-Computer Schnittstelle zu steuern | en |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/8979 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-8102 | |
dc.language.iso | en | en |
dc.relation.issupplementto | http://dx.doi.org/10.14279/depositonce-9422 | |
dc.relation.references | http://dx.doi.org/10.1016/j.neuroimage.2010.03.022 | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.subject.ddc | 612 | en |
dc.subject.other | Brain-Computer Interface | en |
dc.subject.other | Human-Computer Interfaction | en |
dc.subject.other | Motor Imagery | en |
dc.subject.other | Sensory Motor Rhythm | en |
dc.title | Brain-Computer Interface - Motor Imagery Data | en |
dc.type | Generic Research Data | en |
tub.accessrights.dnb | free | * |
tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::FG Neurotechnologie | de |
tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
tub.affiliation.group | FG Neurotechnologie | de |
tub.affiliation.institute | Inst. Softwaretechnik und Theoretische Informatik | de |
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