In the paper the authors introduce the system for classification car driver's vigilance into different classes of alertness. Dangerous states of microsleeps are of the primary interest. The system is based on the concept of radial implicative fuzzy system. They show how these systems may be employed for the specification of relations delimiting the different levels of driver's vigilance on the basis of EEG spectrograms classification. They propose an aggregation formula for individual classifications, which develops the previously adopted approach and enhances the performance of classification. The paper is organized as follows. The next two sections introduce the experimental EEG data and briefly describe the concept of radial implicative fuzzy system. Section 4 regards the classification. It reviews creation of individual classifiers and introduces the aggregation of classifiers together with presentation of results achieved. Concluding remarks are presented in the last 5-th section.
Aggregated fuzzy system for classification of EEG spectrograms
Aggregiertes Fuzzy-System für die Klassifikation von EEG-Spektrogrammen
2009
6 Seiten, 5 Bilder, 1 Tabelle, 14 Quellen
Aufsatz (Konferenz)
Englisch
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