EEG Signals Classification by S-shaped Radial Implicative Fuzzy Systems

0367906 - ÚI 2012 RIV HK eng C - Conference Paper (international conference)
Coufal, David
EEG Signals Classification by S-shaped Radial Implicative Fuzzy Systems.
World Congress on Engineering and Computer Science. Hong Kong: Newswood Limited, 2011 - (A., S.; Douglas, C.; Grundfest, W.; Burgstone, J.), s. 452-456. Lecture Notes in Engineering and Computer Science, 2193. ISBN 978-988-18210-9-6. ISSN 2078-0958.
[WCECS 2011- ICSCA 2011. International Conference on Soft Computing and Applications. San Francisco (US), 19.10.2011-21.10.2011]
R&D Projects: GA MŠMT ME 949
Institutional research plan: CEZ:AV0Z10300504
Keywords : EEG signals classification * microsleep detection * radial fuzzy system
Subject RIV: IN - Informatics, Computer Science
http://www.iaeng.org/publication/WCECS2011/WCECS2011_pp452-456.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0202416