The Berlin brain-computer interface: EEG-based communication without subject training

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 14; no. 2; pp. 147 - 152
• Main Authors: Blankertz, B., Dornhege, G., Krauledat, M., Muller, K.-R., Kunzmann, V., Losch, F., Curio, G.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Brain computer interfaces; Brain-computer interface (BCI); classification; common spatial patterns; Communication Aids for Disabled; Communication system control; Computer User Training - methods; Control systems; electroencephalogram (EEG); Electroencephalography; Electroencephalography - methods; event-related desynchronization (ERD); Evoked Potentials - physiology; Foot; Germany; Humans; Imagination - physiology; Imaging phantoms; Information analysis; information transfer rate; Learning - physiology; Machine learning; Man-Machine Systems; Movement - physiology; Nervous system; Neuromuscular Diseases - rehabilitation; Pattern analysis; Psychomotor Performance - physiology; readiness potential (RP); single-trial analysis; Studies; Germany

The Berlin Brain-Computer Interface (BBCI) project develops a noninvasive BCI system whose key features are 1) the use of well-established motor competences as control paradigms, 2) high-dimensional features from 128-channel electroencephalogram (EEG), and 3) advanced machine learning techniques. As...