Adaptive classification by hybrid EKF with truncated filtering: Brain computer interfacing

Ji Won Yoon, Stephen J. Roberts, Matthew Dyson, John Q. Gan

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

5 Citations (Scopus)

Abstract

This paper proposes a robust algorithm for adaptive modelling of EEG signal classification using a modified Extended Kalman Filter (EKF). This modified EKF combines Radial Basis functions (RBF) and Autoregressive (AR) modeling and obtains better classification performance by truncating the filtering distribution when new observations are very informative.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages370-377
Number of pages8
Volume5326 LNCS
DOIs
Publication statusPublished - 2008 Dec 31
Externally publishedYes
Event9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008 - Daejeon, Korea, Republic of
Duration: 2008 Nov 22008 Nov 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5326 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008
CountryKorea, Republic of
CityDaejeon
Period08/11/208/11/5

Fingerprint

Extended Kalman filters
Kalman Filter
Brain
Filtering
Robust Algorithm
Electroencephalography
Radial Functions
Modeling
Basis Functions
Electroencephalogram
Observation

Keywords

  • Extended Kalman filter
  • Informative observation
  • Logistic classification
  • Truncated filtering

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Yoon, J. W., Roberts, S. J., Dyson, M., & Gan, J. Q. (2008). Adaptive classification by hybrid EKF with truncated filtering: Brain computer interfacing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5326 LNCS, pp. 370-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5326 LNCS). https://doi.org/10.1007/978-3-540-88906-9-47

Adaptive classification by hybrid EKF with truncated filtering : Brain computer interfacing. / Yoon, Ji Won; Roberts, Stephen J.; Dyson, Matthew; Gan, John Q.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5326 LNCS 2008. p. 370-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5326 LNCS).

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

Yoon, JW, Roberts, SJ, Dyson, M & Gan, JQ 2008, Adaptive classification by hybrid EKF with truncated filtering: Brain computer interfacing. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5326 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5326 LNCS, pp. 370-377, 9th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2008, Daejeon, Korea, Republic of, 08/11/2. https://doi.org/10.1007/978-3-540-88906-9-47
Yoon JW, Roberts SJ, Dyson M, Gan JQ. Adaptive classification by hybrid EKF with truncated filtering: Brain computer interfacing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5326 LNCS. 2008. p. 370-377. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-88906-9-47
Yoon, Ji Won ; Roberts, Stephen J. ; Dyson, Matthew ; Gan, John Q. / Adaptive classification by hybrid EKF with truncated filtering : Brain computer interfacing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5326 LNCS 2008. pp. 370-377 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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