Publications

Abstract : Drowsy driving is a major cause of road accidents around the globe. A driver fatigue detection system that can alert the drowsy driver in a timely manner will therefore be of great help in improving road safety. This paper provides a non-invasive, camera-based innovative technique for detection of driver drowsiness based on eye blinking and mouth movement. A camera is mounted on the car dashboard facing the driver. First, face, eye and mouth of the driver are extracted from the images captured by the camera. Next, features for eyes and mouth are extracted and a classifier based detection system identifies if the driver is fatigued. Results demonstrate that the proposed system can efficiently identify indications of drowsiness on the drivers face.