EEG Spectra Classification by Radial Implicative Fuzzy Systems

Autoři: RNDr. Ing. David Coufal, Ph.D. et Ph.D.
Rok vydání: 2011
Typ publikace: Kapitola v monografii
Periodikum: Reliability of Driver Car Interactions
Projekty: Analysis of negative impacts on driver attention
Bibliografická citace: COUFAL, David. EEG Spectra Classification by Radial Implicative Fuzzy Systems. In: NOVÁK, M., ed. Reliability of Driver Car Interactions. Praha: Ústav informatiky AV ČR, v. v. i. a ČVUT, Fakulta dopravní, 2011, S. 60-68. Edice monografií NNW, 9. ISBN 978-80-87136-12-6.
ID: 372950

Abstrakt

The paper deals with the classification of electroencephalographic signals for detection of different states of a car driver's vigilance level. The classification is performed by means of radial implicative fuzzy system with nominal consequents. These systems have tractable computational model and allow accommodate vague information on input-output relation in a structured form. The classifier is created from experimental data with a help of GUHA data-mining method and standard Levenberg-Marquardt optimization algorithm. The adequacy of our approach is validated by obtained results.