Machine learning and applications for brain-computer interfacing

Authors:
K.-R. Müller;M. Krauledat;G. Dornhege;G. Curio;B. Blankertz
Affiliations:
Technical University Berlin, Berlin, Germany and Fraunhofer FIRST.IDA, Berlin, Germany;Technical University Berlin, Berlin, Germany and Fraunhofer FIRST.IDA, Berlin, Germany;Fraunhofer FIRST.IDA, Berlin, Germany;Dept. of Neurology, Campus Benjamin Franklin, Charité University Medicine Berlin, Berlin, Germany;Fraunhofer FIRST.IDA, Berlin, Germany
Venue:
Proceedings of the 2007 conference on Human interface: Part I
Year:
2007

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Abstract

This paper discusses machine learning methods and their application to Brain-Computer Interfacing. A particular focus is placed on linear classification methods which can be applied in the BCI context. Finally, we provide an overview on the Berlin-Brain Computer Interface (BBCI).