On-line differentiation of neuroelectric activities: Algorithms and applications

M. Krauledat, B. Blankertz, G. Dornhege, M. Schröder, G. Curio, Klaus Muller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 of the Berlin-Brain Computer Interface (BBCI).

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages6715-6719
Number of pages5
DOIs
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: 2006 Aug 302006 Sep 3

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period06/8/3006/9/3

ASJC Scopus subject areas

  • Bioengineering

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  • Cite this

    Krauledat, M., Blankertz, B., Dornhege, G., Schröder, M., Curio, G., & Muller, K. (2006). On-line differentiation of neuroelectric activities: Algorithms and applications. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 6715-6719). [4030640] https://doi.org/10.1109/IEMBS.2006.260929