Title :
LBP-based driver fatigue monitoring system with the adoption of haptic warning scheme
Author :
Azmi, Niloufar ; Rahman, A. S M Mahfujur ; Shirmohammadi, Shervin ; El Saddik, Abdulmotaleb
Author_Institution :
Discover Lab., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
Sleepiness and fatigued driving are amongst the major causes of roadway accidents. Eye closure and blink frequency are two of the principle evidences of driver fatigue. In this research, we surveilled operator´s eye cloSleepinessure over a period of time with the purpose of alerting her/him in a non-obtrusive manner. We propose a real time and automatic method to analyze vehicle operator´s drowsiness by using a CCD camera. Our developed system delivered an accuracy rate of 96% in eye states recognition that we leveraged to deduce multi-level driver drowsiness states. We considered an online progressive haptic alerting scheme (similar to silent mobile vibration alert) to warn the drowsy operator in order to prevent major road accidents.
Keywords :
CCD image sensors; image recognition; road accidents; traffic engineering computing; CCD camera; LBP-based driver fatigue monitoring system; automatic method; blink frequency; eye closure; eye states recognition; fatigued driving; haptic warning scheme; local binary patterns; mobile vibration alert; multilevel driver drowsiness states; online progressive haptic alerting scheme; real time method; roadway accidents; sleepiness; vehicle operator drowsiness; Face; Fatigue; Feature extraction; Haptic interfaces; Histograms; Vehicles; Vibrations; Driver fatigue; Drowsiness; Haptic feedback; Local Binary Patterns; PERCLOS;
Conference_Titel :
Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2011 IEEE International Conference on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-61284-888-4
DOI :
10.1109/VECIMS.2011.6053852
