Blinkbeteendebaserad trötthetsdetektering : metodutveckling och validering
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...
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| Format: | Others |
| Language: | Swedish |
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Linköpings universitet, Institutionen för medicinsk teknik
2004
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2578 |