The BCI competition 2003

Progress and perspectives in detection and discrimination of EEG single trials

Benjamin Blankertz, Klaus Muller, Gabriel Curio, Theresa M. Vaughan, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schlögl, Christa Neuper, Gert Pfurtscheller, Thilo Hinterberger, Michael Schröder, Niels Birbaumer

Research output: Contribution to journalArticle

453 Citations (Scopus)

Abstract

Interest in developing a new method of man-to-machine communication-a brain-computer interface (BCI)-has grown steadily over the past few decades. BCIs create a new communication channel between the brain and an output device by bypassing conventional motor output pathways of nerves and muscles. These systems use signals recorded from the scalp, the surface of the cortex, or from inside the brain to enable users to control a variety of applications including simple word-processing software and orthotics. BCI technology could therefore provide a new communication and control option for individuals who cannot otherwise express their wishes to the outside world. Signal processing and classification methods are essential tools in the development of improved BCI technology. We organized the BCI Competition 2003 to evaluate the current state of the art of these tools. Four laboratories well versed in EEG-based BCI research provided six data sets in a documented format. We made these data sets (i.e., labeled training sets and unlabeled test sets) and their descriptions available on the Internet. The goal in the competition was to maximize the performance measure for the test labels. Researchers worldwide tested their algorithms and competed for the best classification results. This paper describes the six data sets and the results and function of the most successful algorithms.

Original languageEnglish
Pages (from-to)1044-1051
Number of pages8
JournalIEEE Transactions on Biomedical Engineering
Volume51
Issue number6
DOIs
Publication statusPublished - 2004 Jun 1
Externally publishedYes

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Brain-Computer Interfaces
Brain computer interface
Electroencephalography
Communication
Brain
Orthotics
Word processing
Word Processing
Technology
Efferent Pathways
Midazolam
Scalp
Internet
Muscle
Labels
Signal processing
Software
Research Personnel
Equipment and Supplies
Muscles

Keywords

  • Augmentative communication
  • Beta rhythm
  • Brain-computer interface (BCI)
  • EEG
  • Event-related potentials (ERPs)
  • Imagined hand movements
  • Lateralized readiness potential
  • Mu rhythm
  • P300
  • Rehabilitation
  • Single-trial classification
  • Slow cortical potentials

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Blankertz, B., Muller, K., Curio, G., Vaughan, T. M., Schalk, G., Wolpaw, J. R., ... Birbaumer, N. (2004). The BCI competition 2003: Progress and perspectives in detection and discrimination of EEG single trials. IEEE Transactions on Biomedical Engineering, 51(6), 1044-1051. https://doi.org/10.1109/TBME.2004.826692

The BCI competition 2003 : Progress and perspectives in detection and discrimination of EEG single trials. / Blankertz, Benjamin; Muller, Klaus; Curio, Gabriel; Vaughan, Theresa M.; Schalk, Gerwin; Wolpaw, Jonathan R.; Schlögl, Alois; Neuper, Christa; Pfurtscheller, Gert; Hinterberger, Thilo; Schröder, Michael; Birbaumer, Niels.

In: IEEE Transactions on Biomedical Engineering, Vol. 51, No. 6, 01.06.2004, p. 1044-1051.

Research output: Contribution to journalArticle

Blankertz, B, Muller, K, Curio, G, Vaughan, TM, Schalk, G, Wolpaw, JR, Schlögl, A, Neuper, C, Pfurtscheller, G, Hinterberger, T, Schröder, M & Birbaumer, N 2004, 'The BCI competition 2003: Progress and perspectives in detection and discrimination of EEG single trials', IEEE Transactions on Biomedical Engineering, vol. 51, no. 6, pp. 1044-1051. https://doi.org/10.1109/TBME.2004.826692
Blankertz, Benjamin ; Muller, Klaus ; Curio, Gabriel ; Vaughan, Theresa M. ; Schalk, Gerwin ; Wolpaw, Jonathan R. ; Schlögl, Alois ; Neuper, Christa ; Pfurtscheller, Gert ; Hinterberger, Thilo ; Schröder, Michael ; Birbaumer, Niels. / The BCI competition 2003 : Progress and perspectives in detection and discrimination of EEG single trials. In: IEEE Transactions on Biomedical Engineering. 2004 ; Vol. 51, No. 6. pp. 1044-1051.
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