Automatic selection of the number of spatial filters for motor-imagery BCI - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Automatic selection of the number of spatial filters for motor-imagery BCI

Résumé

Common spatial pattern (CSP) is widely used for constructing spatial filters to extract features for motor-imagery-based BCI. One main parameter in CSP-based classification is the number of spatial filters used. An automatic method relying on Rayleigh quotient is presented to estimate its optimal value for each subject. Based on an existing dataset, we validate the contribution of the proposed method through a study of the effect of this parameter on the classification performance. The evaluation on testing data shows that the estimated subject-specific optimal values yield better performances than the recommended value in the literature.
Fichier principal
Vignette du fichier
manuscript-YY-final.pdf (177.79 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00737242 , version 1 (01-10-2012)

Identifiants

  • HAL Id : hal-00737242 , version 1

Citer

Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch. Automatic selection of the number of spatial filters for motor-imagery BCI. The proceeding of 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.109-114. ⟨hal-00737242⟩
184 Consultations
150 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More