Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms
Result description
In the paper we focus on discrimination between electrodes which are used for EEG signals recording and subsequent detection of car drivers? vigilance levels. The detection is based on the classification of EEG spectrograms which are recorded from 19 electrodes spread over driver?s head. We are interested in the selection of a small subset of the most discriminating electrodes for each level. Especially, we are aimed on detection of hazardous states of microsleeps. The selection of electrodes was performed by means of GUHA data mining method and for classification we employed C4.5 classification algorithm.
Keywords
microsleep detectionEEG spectrogramsdata mining techniquesclassification trees
The result's identifiers
Result code in IS VaVaI
Alternative codes found
RIV/67985807:_____/08:00341912
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Electrodes Selection for Microsleeps Detection by Classification of EEG Spectrograms
Original language description
In the paper we focus on discrimination between electrodes which are used for EEG signals recording and subsequent detection of car drivers? vigilance levels. The detection is based on the classification of EEG spectrograms which are recorded from 19 electrodes spread over driver?s head. We are interested in the selection of a small subset of the most discriminating electrodes for each level. Especially, we are aimed on detection of hazardous states of microsleeps. The selection of electrodes was performed by means of GUHA data mining method and for classification we employed C4.5 classification algorithm.
Czech name
Výběr elektrod pro detekci mikrospánků na základě klasifikace EEG spektrogramů
Czech description
Příspěvek se zaměřuje na problematiku vhodného výběru mezi EEG záznamovými elektrodami používanými k detekci mikrospánku řidičů. Detekce vychází z klasifikace EEG spektrogramů zaznamenávaných pomocí 19 elektrod, které jsou rozprostřeny na hlavě řidiče. Cílem výzkumu je identifikovat malou podmnožinu těchto elektrod, která je nejvíce relevantní k detekci jednotlivých úrovní pozornosti řidiče. Zejména se zaměřujeme na detekci nebezpečného stavu mikrospánku. Výběr mezi elektrodami byl proveden v kombinaciužití metody vytěžování z dat GUHA a C4.5 klasifikačního algoritmu.
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
1F84B/042/520: Methods and tools for detection and prevention of driver attention decreases
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
New Aspects on Computing Research
ISBN
978-960-474-002-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
WSEAS Press
Place of publication
Athens
Event location
Malta
Event date
Sep 11, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000260440500052
Basic information
Result type
D - Article in proceedings
CEP
IN - Informatics
Year of implementation
2008