Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Multi-subject learning for common spatial patterns in motor-imagery BCI

Devlaminck, D., Wyns, B., Grosse-Wentrup, M., Otte, G., & Santens, P. (2011). Multi-subject learning for common spatial patterns in motor-imagery BCI. Computational Intelligence and Neuroscience, 2011: 217987. doi:10.1155/2011/217987.

Item is

Externe Referenzen

einblenden:

Urheber

einblenden:
ausblenden:
 Urheber:
Devlaminck, D., Autor
Wyns, B., Autor
Grosse-Wentrup, M.1, Autor           
Otte, G., Autor
Santens, P., Autor
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

Inhalt

einblenden:
ausblenden:
Schlagwörter: MPI für Intelligente Systeme; Abt. Schölkopf;
 Zusammenfassung: Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern filter (CSP) as preprocessing step before feature extraction and classification. The CSP method is a supervised algorithm and therefore needs subject-specific training data for calibration, which is very time consuming to collect. In order to reduce the amount of calibration data that is needed for a new subject, one can apply multitask (from now on called multisubject) machine learning techniques to the preprocessing phase. Here, the goal of multisubject learning is to learn a spatial filter for a new subject based on its own data and that of other subjects. This paper outlines the details of the multitask CSP algorithm and shows results on two data sets. In certain subjects a clear improvement can be seen, especially when the number of training trials is relatively low.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2011-08-01
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: eDoc: 596762
URI: http://www.kyb.tuebingen.mpg.de/
Anderer: DevlaminckWGOS2011
DOI: 10.1155/2011/217987
 Art des Abschluß: -

Veranstaltung

einblenden:

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: Computational Intelligence and Neuroscience
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: 8 Band / Heft: 2011 Artikelnummer: 217987 Start- / Endseite: - Identifikator: -