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AUTOMATED EEG ARTIFACTS HANDLING FOR DRIVER SLEEPINESS MONITORING
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7305-7169
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1212-7637
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3802-4721
The Swedish National Road and Transport Research Institute (VTI), Sweden.
2016 (English)In: 2nd International Symposium on Somnolence, Vigilance, and Safety SomnoSafe2016, 2016Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2016.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-29667OAI: oai:DiVA.org:mdh-29667DiVA: diva2:876194
Conference
2nd International Symposium on Somnolence, Vigilance, and Safety SomnoSafe2016, 22-23 Feb 2016, Brussels, Belgium
Projects
VDM - Vehicle Driver Monitoring
Available from: 2015-12-02 Created: 2015-11-26 Last updated: 2017-01-25Bibliographically approved

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Barua, ShaibalBegum, ShahinaAhmed, Mobyen Uddin
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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  • rtf