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Driver drowsiness d...
Driver drowsiness detection : A comparison between intrusive and non-intrusive signal acquisition methods
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- Oliveira, Licínio (författare)
- University of Porto
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- Cardoso, Jamie S. (författare)
- University of Porto
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- Lourenço, André (författare)
- Instituto Superior de Engenharia de Lisboa
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- Ahlström, Christer, 1977- (författare)
- Statens väg- och transportforskningsinstitut,Trafikanttillstånd, TIL
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers Inc. 2019
- 2019
- Engelska.
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Ingår i: Proceedings - European Workshop on Visual Information Processing, EUVIP. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538668979
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Driver drowsiness is a major cause of road accidents, many of which result in fatalities. A solution to this problem is the inclusion of a drowsiness detector in vehicles to alert the driver if sleepiness is detected. To detect drowsiness, physiologic, behavioral (visual) and vehicle-based methods can be used, however, only measures that can be acquired non-intrusively are viable in a real life application. This work uses data from a real-road experiment with sleep deprived drivers to compare the performance of driver drowsiness detection using intrusive acquisition methods, namely electrooculogram (EOG), with camera-based, non-intrusive, methods. A hybrid strategy, combining the described methods with electrocardiogram (ECG) measures, is also evaluated. Overall, the obtained results show that drowsiness detection performance is similar using non-intrusive camera-based measures or intrusive EOG measures. The detection performance increases when combining two methods (ECG + visual) or (ECG + EOG).
Ämnesord
- SAMHÄLLSVETENSKAP -- Psykologi -- Tillämpad psykologi (hsv//swe)
- SOCIAL SCIENCES -- Psychology -- Applied Psychology (hsv//eng)
Nyckelord
- Fatigue (human)
- Detection
- Driver
- Measurement
- Eye movement
- Camera
- ECG
- 841 Road: Road user behaviour
- 841 Road: Road user behaviour
- 914 Road: ITS och vehicle technology
- 914 Road: ITS och vehicle technology
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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