Aggregated Fuzzy System for Classification of EEG Spectrograms

D. Coufal (Czech Republic)


EEG classification, Microsleeps detection, Implicative


In the paper we introduce the system for classification car driver’s vigilance into different classes of alertness. Dan gerous states of microsleeps are of the primary interest. The system is based on the concept of radial implicative fuzzy system. We show how these systems may be em ployed for the specification of relations delimiting the dif ferent levels of driver’s vigilance on the basis of EEG spec trograms classification. We propose an aggregation for mula for individual classifications, which develops the pre viously adopted approach and enhances the performance of classification.

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