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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
Conference_Location :
Binjiang
Print_ISBN :
978-1-4244-7933-7
DOI :
10.1109/IMTC.2011.5944101