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A video based real time fatigue detection system
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2004 (English)Report (Other academic)
Abstract [en]

Fatigue could be detected or predicted by the dynamic facial expression event: yawn. Facial expression parameters are extracted from real time video containing faces and used as observations for the underlying Hidden Markov Model for recognizing the yawn event. Promising results from tests by many users and their evaluations are reported.

Place, publisher, year, edition, pages
Umeå: Tillämpad fysik och elektronik , 2004. , 14 p.
Series
DML Technical Report, ISSN 1652-8441
Keyword [en]
Signalbehandling
Keyword [sv]
Signalbehandling
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:umu:diva-433OAI: oai:DiVA.org:umu-433DiVA: diva2:143445
Available from: 2005-01-26 Created: 2005-01-26 Last updated: 2016-02-23Bibliographically approved

Open Access in DiVA

fulltext(146 kB)705 downloads
File information
File name FULLTEXT01.pdfFile size 146 kBChecksum MD5
986752f10a74c0b9fe7b910d16c0af0ff07d13d810653e25db6f39e88371538f104f314b
Type fulltextMimetype application/pdf

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Li, Haibo
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Department of Applied Physics and Electronics
Signal Processing

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CiteExportLink to record
Permanent link

Direct link
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
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf