Common spatial patterns based on generalized norms

Jangwoo Park, Wonzoo Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The Common Spatial Patterns (CSP) algorithm is commonly used to finds spatial filters for classification of electroencephalogram (EEG) signals. However, conventional CSP is sensitive to outliers and artifacts because it is based on variance using L2-norm. In this paper, we consider generalized L p norm based CSP, called CSP-Lp, and verify whichp is optimal for CSP-Lp by maximizing the Lp norm ratio of filtered dispersion of one class to the other class. The spatial filters of CSP-L p are obtained empirically. Simulation result on a toy example shows the robustness of CSP-Lp depending on Lp-norm.

Original languageEnglish
Title of host publication2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages39-42
Number of pages4
DOIs
Publication statusPublished - 2013 May 17
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 2013 Feb 182013 Feb 20

Publication series

Name2013 International Winter Workshop on Brain-Computer Interface, BCI 2013

Other

Other2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
CountryKorea, Republic of
CityGangwon Province
Period13/2/1813/2/20

Keywords

  • CSP-Lp
  • Common spatial patterns (CSP)
  • Lp-norm
  • brain computer interfaces (BCI)
  • electroencephalogram (EEG) classification

ASJC Scopus subject areas

  • Human-Computer Interaction

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  • Cite this

    Park, J., & Chung, W. (2013). Common spatial patterns based on generalized norms. In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 39-42). [6506623] (2013 International Winter Workshop on Brain-Computer Interface, BCI 2013). https://doi.org/10.1109/IWW-BCI.2013.6506623