Identification of Driver's Drowsiness using Driving Information and EEG

0355391 - ÚI 2011 RIV CZ eng J - Journal Article
Jiřina, Marcel - Bouchner, P. - Novotný, S.
Identification of Driver's Drowsiness using Driving Information and EEG.
Neural Network World. Roč. 20, č. 6 (2010), s. 773-791. ISSN 1210-0552
R&D Projects: GA MŠMT(CZ) 1M0567; GA MŠMT ME 949
Institutional research plan: CEZ:AV0Z10300504
Keywords : wakefulness * drowsiness * sleepy state in drivers * classification
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 0.511, year: 2010

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.
Permanent Link: http://hdl.handle.net/11104/0006299