Blink behaviour based drowsiness detection: method development and validation
2004 (English)Report (Other academic)
Electrooculogram (EOG) data was used to develop, adjust and validate a method for drowsiness detection in drivers. The drowsiness detection was based on changes in blink behaviour and classification was made on a four graded scale. The purpose was to detect early signs of drowsiness in order to warn a driver. MATLAB was used for implementation. For adjustment and validation, two different reference measures were used; driver reported ratings of drowsiness and an electroencephalogram (EEG) based scoring scale. A correspondence of 70 % was obtained between the program and the self ratings and 56 % between the program and the EEG based scoring scale. The results show a possibility to detect drowsiness by analyzing blink behaviour changes, but that inter-individual differences need to be considered. It is also difficult to find a comparable reference measure. The comparability of the blink based scale and the EEG based scale needs further investigation.
Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2004. , 75 p.
VTI särtryck, ISSN 1102-626X ; 362A
Fatigue, Driver, Detection, Eye movement, Driving, Simulator, Measurement, Alertness, Signal, Surveillance
Research subject 80 Road: Traffic safety and accidents, 841 Road: Road user behaviour; 80 Road: Traffic safety and accidents, 84 Road: Road users
IdentifiersURN: urn:nbn:se:vti:diva-5153OAI: oai:DiVA.org:vti-5153DiVA: diva2:673983
Master's thesis project in applied physics and electrical engineering. Reprint from Linköping University, Dept. Biomedical Engineering, LiU-IMT-Ex-04/369, Linköping 20042013-12-032013-12-032014-10-13Bibliographically approved