Combination of multiple classifiers with fuzzy integral method for classifying the EEG signals in brain-computer interface

Shoaie, Z ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1109/ICBPE.2006.348574
  3. Publisher: 2006
  4. Abstract:
  5. In this paper we study the effectiveness of using multiple classifier combination for EEG signal classification aiming to obtain more accurate results than it possible from each of the constituent classifiers. The developed system employs two linear classifiers (SVM,LDA) fused at the abstract and measurement levels for integrating information to reach a collective decision. For making decision, the majority voting scheme has been used. While at the measurement level, two types of combination methods have been investigated: one used fixed combination rules that don't require prior training and a trainable combination method. For the second type, the fuzzy integral method was used. The ensemble classification task is completed by feeding the classifiers with five different features extracted from the EEG signal for imagination of right and left hands movements (i.e., at EEG channels C3 and C4). The results show that using classifier fusion methods improved the overall classification performance. © 2006 Research Publishing Services
  6. Keywords:
  7. Classifiers ; Decision making ; Decision theory ; Electroencephalography ; Fuzzy logic ; Integral equations ; Interfaces (computer) ; Learning systems ; Brain-Computer Interface (BCI) ; Classification performance ; Classifier fusions ; Collective decision ; Combination methods ; Combination of multiple classifiers ; EEG signals ; Electro-encephalogram (EEG) signals ; Ensemble classification ; Fixed combination rules ; Fuzzy integrals ; Integrating information ; International conferences ; Linear classifiers ; Majority voting ; Making decision ; Multiple classifier combination ; Pharmaceutical engineering ; Right and left ; Two types ; Classification (of information)
  8. Source: ICBPE 2006 - 2006 International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 11 December 2006 through 14 December 2006 ; 2006 , Pages 157-161 ; 8190426249 (ISBN); 9788190426244 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4155883