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Main Title: Brain-Computer Interface - Motor Imagery Data
Author(s): Blankertz, Benjamin
Vidaurre, Carmen
Sannelli, Claudia
Kübler, Andrea
Halder, Sebastian
Hammer, Eva-Maria
Type: Generic Research Data
Language Code: en
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 [ ]. 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.
Issue Date: Jan-2019
Date Available: 11-Feb-2019
DDC Class: 612
Subject(s): Brain-Computer Interface
Human-Computer Interfaction
Motor Imagery
Sensory Motor Rhythm
Sponsor/Funder: DFG, 33832556, Verbesserung interaktiven Lernens von Mensch und Maschine zur Überwindung der Unfähigkeit eine Gehirn-Computer Schnittstelle zu steuern
Is Supplement To:
Appears in Collections:FG Neurotechnologie » Research Data

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Feedback_pt2.zip1.53 GBZIP ArchiveView/Open
Calibration_pt2.zip1.21 GBZIP ArchiveView/Open
Feedback_pt1.zip1.29 GBZIP ArchiveView/Open
Calibration_pt1.zip1.22 GBZIP ArchiveView/Open

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