Aggregated Fuzzy System for Classification of EEG Spectrograms

Authors: David Coufal
Publication year: 2009
Publication type: Konferenční příspěvek (mezinárodní konf.)
Periodical: Intelligent Systems and Control
Projects: Methods and tools for detection and prevention of driver attention decreases
Bibliographic citation: COUFAL, David. Aggregated Fuzzy System for Classification of EEG Spectrograms. In: HAMZA, M.H., ed. Intelligent Systems and Control. Anheim: ACTA Press, 2009, S. 16-21. ISBN 978-0-88986-814-4.
ID: 334640

Abstract

In the paper we 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. We 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. We propose an aggregation formula for individual classifications, which develops the previously adopted approach and enhances the performance of classification.