GLOBAL JOURNAL OFENGINEERINGSCIENCE ANDRESEARCHES INTELLIGENT DRIVER FATIGUE DETECTION USING SENSOR NETWORK

This paper presents a new approach towards automobile safety and security. In the field of an automotive research, a method to monitor and to detect a fatigue/drowsy or a drunken driver has been studied for many years. Previous research uses sensors such as an infrared camera for pupil detection or voice to detect fatigue, or image processing to detect driver expression. Even these approaches are able to detect driver’s fatigue; however, these methods are not driver adaptable nor interactive with a outside driving situation. We propose driver’s fatigue approach for real-time detection of driver fatigue. The system consists of a sensors directly pointed towards the driver’s face. The input to the system is a continuous stream of signals from the sensors. The system monitors the driver’s eyes to detect micro-sleeps (short periods of sleep lasting 3 to 4 seconds), monitors the driver’s jaw to detect jaw movement and monitors to detect driver pulse from finger using LED & LDR assembling. The system can analyze the eyes lid movement, jaw movement, variation in pulse rate from the driver compute it as well as compare signal. Accordingly, we can be obtained the driver’s fatigue level based on the response signals and alert driver