Skip to Main content Skip to Navigation
Conference papers

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

Abstract : 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.
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00737242
Contributor : Yuan Yang <>
Submitted on : Monday, October 1, 2012 - 2:11:46 PM
Last modification on : Monday, October 12, 2020 - 6:43:39 PM
Long-term archiving on: : Wednesday, January 2, 2013 - 6:35:11 AM

Files

manuscript-YY-final.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00737242, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

213

Files downloads

228