A Novel Sensors-Based and Multiple Warning Early Fatigue Detection System Architecture

Many traffic accidents are occurred every year, among these accidents driver fatigue is an important reason. It is reported that about 25% traffic collisions are occurred due to driver fatigue. This is a serious threat to the driver and the passengers´ safety. Some fatigue detection system use image recognition to determine the driver´s fatigue, however, there are many factors can influence the detection result, moreover, a vast majority of these detection methods can only detect the late fatigue. In this paper, we propose a fatigue detection system architecture which is based on EEG sensor and transformer-type angular displacement sensor. This proposed system can detect the early fatigue and warn the driver with different ways when driver in different fatigue state.