Summary: We distinguish between fatigue caused by the demands of the driving task itself (see Hancock & Desmond, 2001) from the standard traditional approach that links fatigue predominately to the lack of sleep. Fatigue can be caused by two sources: (1) the driver’s initial state before

Managing fatigue among professional drivers is most likely to be successful if it involves the development of systems of management which are both practical and based on sound research into causes, effects and countermeasures to fatigue while driving. However there are often distinct differences

This paper describes a Prediction of driver-fatigue monitor. It uses remotely located charge-coupled-device cameras equipped with active infrared illuminators to acquire video images of the driver. Various visual cues that typically characterize the level of alertness of a person are extracted

This paper explores findings from key research about the issue of fatigue as a major feature on the agenda of road safety and recent developments in fatigue management in the long-distance road transport industry.

Trucks occupy a large and growing segment of the traffic on American highways. On many rural interstate highways, trucks constitute more than one-third of the total traffic stream. Truck crashes present unique safety challenges, including greater mass of the truck and truck drivers’ unique working

conducted by the Center for Intelligent Systems Research (CISR) of the George

Summary: Drowsiness and fatigue are serious problems in all transportation systems. One persistent issue is the lack of an agreed definition of these respective energetic states. Here we review the theoretical approaches (cognitive versus physiological) framing the driver fatigue problem. Known

despite large intra-and inter-individual differences in behaviour and in biosignal characteristics. Therefore, the percentage of detected MS gives an objective measure of strong driver fatigue.

Driver fatigue is an important factor in large number of accidents. There has been much work done in driver fatigue detection. This paper presents driver fatigue detection based on tracking the mouth and to study on monitoring and recognizing yawning. The authors proposed a method to locate

ABSTRACT: Road users have long been known to fall asleep while driving. Driving long hours can induce fatigue causing lack of concentration and occasionally road accidents. This project is mainly based on eye detection and simple distributed force sensor to monitor the driver's fatigue