LBP-based driver fatigue monitoring system with the adoption of haptic warning scheme

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.