CareLit · DOI-Nachweis · Aktuelle Neurologie
Brain state differences between calibration and application periods influence BCI classification accuracy
DOI 10.1055/s-2006-953100
Bibliografische Angaben
Nachweis in CareLit
Autor:innenF. Losch, B. Blankertz, M. Krauledat, K.R. Müller, G. Curio
ZeitschriftAktuelle Neurologie
Ausgabe09/2006
Jahrgang / SeitenNicht angegeben
Kernaussage aus der Literatur
Abstract-Vorschau
Introduction: Non-invasive Brain-Computer Interfaces (BCI) translate a user's intent into technical control signals without relying on peripheral nerves and muscles. The Berlin-BCI application uses a calibration period to train machine learning algorithms for the classification of single-trial brain signals indicating specific motor intentions. These signals are then used in diverse application scenarios where the c…
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Zitierempfehlung
F. Losch, B. Blankertz, M. Krauledat, K.R. Müller, G. Curio (2006) Brain state differences between calibration and application periods influence BCI classification accuracy. Aktuelle Neurologie (09). https://doi.org/10.1055/s-2006-953100
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