Blinkbeteendebaserad trötthetsdetektering: metodutveckling och validering
Independent thesis Basic level (professional degree), 20 credits / 30 HE creditsStudent thesisAlternative title
Blink behaviour based drowsiness detection : method development and validation (English)
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 validatation, 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
Institutionen för medicinsk teknik , 2004. , 75 p.
Biotechnology, EOG, Blinks, EEG, Drowsiness, Detection, Driver, Thesis, VTI
IdentifiersURN: urn:nbn:se:liu:diva-2578ISRN: LITH-IMT/BIT20-EX--04/369--SEOAI: oai:DiVA.org:liu-2578DiVA: diva2:19913
Subject / course