Machine learning and applications for brain-computer Interfacing

K. R. Müller, M. Krauledat, G. Dornhege, G. Curio, B. Blankertz

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

9 Citations (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 on the Berlin-Brain Computer Interface (BBCI).

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationMethods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
PublisherSpringer Verlag
Pages705-714
Number of pages10
EditionPART 1
ISBN (Print)9783540733447
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventSymposium on Human Interface 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4557 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherSymposium on Human Interface 2007
CountryChina
CityBeijing
Period07/7/2207/7/27

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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