DocumentCode
2096107
Title
Driver drowsiness monitoring based on yawning detection
Author
Abtahi, Shabnam ; Hariri, Behnoosh ; Shirmohammadi, Shervin
Author_Institution
Distrib. Collaborative Virtual Environ. Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
Fatigue and drowsiness of drivers are amongst the significant causes of road accidents. In this paper, we discuss a method for detecting drivers´ drowsiness and subsequently alerting them. The aim is to reduce the number of accidents due to drivers fatigue and hence increase the transportation safety. Many special body and face gestures are used as sign of driver fatigue, including yawning, eye tiredness and eye movement, which indicate that the driver is no longer in a proper driving condition. Here, we propose a method of yawning detection based on the changes in the mouth geometric features.
Keywords
accident prevention; emotion recognition; road accidents; sensors; body gesture; driver drowsiness monitoring; face gesture; fatigue; road accident; transportation safety; yawning detection; Decision support systems; Drowsiness Monitoring; face tracking; yawning detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
Conference_Location
Binjiang
ISSN
1091-5281
Print_ISBN
978-1-4244-7933-7
Type
conf
DOI
10.1109/IMTC.2011.5944101
Filename
5944101
Link To Document