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Identification of Driver's Drowsiness using Driving Information and EEG
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SYSNO ASEP 0355391 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Identification of Driver's Drowsiness using Driving Information and EEG Author(s) Jiřina, Marcel (UIVT-O) SAI, RID
Bouchner, P. (CZ)
Novotný, S. (CZ)Source Title Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552
Roč. 20, č. 6 (2010), s. 773-791Number of pages 19 s. Language eng - English Country CZ - Czech Republic Keywords wakefulness ; drowsiness ; sleepy state in drivers ; classification Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) ME 949 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000286684200006 EID SCOPUS 79551710213 Annotation The paper summarizes the first results with identification of sleepy state in drivers. The driving information as the deviation from the centerline of road and the steering wheel position as well as two-point EEG was used. The process consists of preprocessing data, in fact a transformation into form proper for classification, and a classification into one of two classes, wakefulness and drowsiness. Results show that it is possible to distinguish these two states with relatively large error, which possibly can be tackled by the use of proper methodology. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
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