Number of the records: 1
Identification of Driver's Drowsiness Using Driving Information and EEG
- 1.
SYSNO ASEP 0346067 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Identification of Driver's Drowsiness Using Driving Information and EEG Author(s) Jiřina, Marcel (UIVT-O) SAI, RID
Novotný, S. (CZ)
Bouchner, P. (CZ)Source Title Driver-Car Interaction & Interface 2009. - Praha : Institute of Computer Science AS CR, 2009 / Bouchner P. ; Novák M. - ISBN 978-80-87136-05-8 Pages s. 11-19 Number of pages 9 s. Action DCII 2009. Driver Car Interaction and Interface 2009 Event date 02.11.2009-03.11.2009 VEvent location Prague Country CZ - Czech Republic Event type EUR Language eng - English Country CZ - Czech Republic Keywords wakefulness ; drowsiness ; sleepy state in drivers ; classification Subject RIV AQ - Safety, Health Protection, Human - Machine CEZ AV0Z10300504 - UIVT-O (2005-2011) Annotation This report 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
Number of the records: 1