The Berlin brain-computer interface

Benjamin Blankertz, Michael Tangermann, Florin Popescu, Matthias Krauledat, Siamac Fazli, Márton Dónaczy, Gabriel Curio, Klaus Muller

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

10 Citations (Scopus)

Abstract

The Berlin Brain-Computer Interface (BBCI) uses a machine learning approach to extract subject-specific patterns from high-dimensional EEG-features optimized for revealing the user's mental state. Classical BCI application are brain actuated tools for patients such as prostheses (see Section 4.1) or mental text entry systems ([2] and see [3,4,5,6] for an overview on BCI). In these applications the BBCI uses natural motor competences of the users and specifically tailored pattern recognition algorithms for detecting the user's intent. But beyond rehabilitation, there is a wide range of possible applications in which BCI technology is used to monitor other mental states, often even covert ones (see also [7] in the fMRI realm). While this field is still largely unexplored, two examples from our studies are exemplified in Section 4.3 and 4.4.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages79-101
Number of pages23
Volume5050 LNCS
DOIs
Publication statusPublished - 2008 Jul 4
Externally publishedYes
Event2008 IEEE World Congress on Computational Intelligence, WCCI 2008 - Hong Kong, Hong Kong
Duration: 2008 Jun 12008 Jun 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5050 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2008 IEEE World Congress on Computational Intelligence, WCCI 2008
CountryHong Kong
CityHong Kong
Period08/6/108/6/6

Fingerprint

Brain-Computer Interfaces
Brain computer interface
Berlin
Text Entry
Mental Competency
Prostheses and Implants
Electroencephalography
Rehabilitation
Functional Magnetic Resonance Imaging
Magnetic Resonance Imaging
Recognition Algorithm
Prosthetics
Technology
Patient rehabilitation
Pattern Recognition
Pattern recognition
Learning systems
Brain
Machine Learning
Monitor

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Blankertz, B., Tangermann, M., Popescu, F., Krauledat, M., Fazli, S., Dónaczy, M., ... Muller, K. (2008). The Berlin brain-computer interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5050 LNCS, pp. 79-101). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5050 LNCS). https://doi.org/10.1007/978-3-540-68860-0_4

The Berlin brain-computer interface. / Blankertz, Benjamin; Tangermann, Michael; Popescu, Florin; Krauledat, Matthias; Fazli, Siamac; Dónaczy, Márton; Curio, Gabriel; Muller, Klaus.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5050 LNCS 2008. p. 79-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5050 LNCS).

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

Blankertz, B, Tangermann, M, Popescu, F, Krauledat, M, Fazli, S, Dónaczy, M, Curio, G & Muller, K 2008, The Berlin brain-computer interface. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5050 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5050 LNCS, pp. 79-101, 2008 IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, Hong Kong, 08/6/1. https://doi.org/10.1007/978-3-540-68860-0_4
Blankertz B, Tangermann M, Popescu F, Krauledat M, Fazli S, Dónaczy M et al. The Berlin brain-computer interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5050 LNCS. 2008. p. 79-101. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-68860-0_4
Blankertz, Benjamin ; Tangermann, Michael ; Popescu, Florin ; Krauledat, Matthias ; Fazli, Siamac ; Dónaczy, Márton ; Curio, Gabriel ; Muller, Klaus. / The Berlin brain-computer interface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5050 LNCS 2008. pp. 79-101 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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