Aggregated Fuzzy System for Classification of EEG Spectrograms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F09%3A00334640" target="_blank" >RIV/67985807:_____/09:00334640 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Aggregated Fuzzy System for Classification of EEG Spectrograms
Original language description
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 developsthe previously adopted approach and enhances the performance of classification.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1F84B%2F042%2F520" target="_blank" >1F84B/042/520: Methods and tools for detection and prevention of driver attention decreases</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent Systems and Control
ISBN
978-0-88986-814-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
ACTA Press
Place of publication
Anheim
Event location
Cambridge
Event date
Dec 2, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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