Number of the records: 1

EEG Signals Classification by S-shaped Radial Implicative Fuzzy Systems

SYSNO ASEP	0367906
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	EEG Signals Classification by S-shaped Radial Implicative Fuzzy Systems
Author(s)	Coufal, David (UIVT-O)_{RID, SAI, ORCID}
Source Title	World Congress on Engineering and Computer Science. - Hong Kong : Newswood Limited, 2011 / A. S.I ; Douglas C. ; Grundfest W.S. ; Burgstone J. - ISSN 2078-0958 - ISBN 978-988-18210-9-6
Pages	s. 452-456
Number of pages	5 s.
Action	WCECS 2011- ICSCA 2011. International Conference on Soft Computing and Applications
Event date	19.10.2011-21.10.2011
VEvent location	San Francisco
Country	US - United States
Event type	WRD
Language	eng - English
Country	HK - Hong Kong
Keywords	EEG signals classification ; microsleep detection ; radial fuzzy system
Subject RIV	IN - Informatics, Computer Science
R&D Projects	ME 949 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
UT WOS	000394721500084
Annotation	The paper introduces an EEG signals classifier for classification of vigilance level of a car driver. The classifier is based on the concept of radial implicative fuzzy system. The novel in the presented approach is accommodation of S-shaped fuzzy sets which can handle boundary regions of the relevant input space. Both structure and parameter learning of the system are referred to and corresponding classification abilities are presented.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2012

Number of the records: 1