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A video based real time fatigue detection system
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.
Contributors
- Umeå universitet Teknisk-naturvetenskaplig fakultet Tillämpad fysik och elektronik
Creator
- Yao Zhengrong 1971- , Umeå universitet, Tillämpad fysik och elektronik
- Li Haibo 1965- , Umeå universitet, Tillämpad fysik och elektronik
Publisher
- Tillämpad fysik och elektronik
Type of item
- Other academic
- Report
- book
- Book
Date
- 2004
- 2005-01-26
- 2005-01-26
- 2004
Contributors
- Umeå universitet Teknisk-naturvetenskaplig fakultet Tillämpad fysik och elektronik
Creator
- Yao Zhengrong 1971- , Umeå universitet, Tillämpad fysik och elektronik
- Li Haibo 1965- , Umeå universitet, Tillämpad fysik och elektronik
Publisher
- Tillämpad fysik och elektronik
Type of item
- Other academic
- Report
- book
- Book
Date
- 2004
- 2005-01-26
- 2005-01-26
- 2004
Providing institution
Aggregator
Rights statement for the media in this item (unless otherwise specified)
- http://rightsstatements.org/vocab/InC/1.0/
- http://rightsstatements.org/vocab/InC/1.0/
Identifier
- oai:DiVA.org:umu-433
Format
- electronic14
- electronic
- 14
Language
- en
Is part of
- http://data.theeuropeanlibrary.org/Collection/a1041
Relations
- DML Technical Report1652-8441
Year
- 2004
Providing country
- Sweden
Collection name
First time published on Europeana
- 2014-09-07T10:17:01.008Z
Last time updated from providing institution
- 2014-09-07T10:17:01.008Z