This paper is the culmination of previous work to determine if steering behavior could be used to unobtrusively detect driver fatigue. The driving performance of 17 sleep-deprived heavy-truck drivers was monitored on a closed track. Functions in the time, frequency, and phase domains were developed to quantify changes in steering wheel input. The steering-based weighting functions which correla...

This paper deals with research on fatigue states of car drivers on freeways and similar roads. All experiments are performed on-the-road. The approach is based on the assumption that fatigue indicators can be derived from driver+car system behaviour by measuring and processing appropriate factors. For our experiments we designed an array of devices to measure selected physiological and technica...

Traffic accidents are caused by driver fatigue or distraction in many cases. To prevent accidents, several low-cost hypovigilance (hypo-V) systems were developed the past based on a multimodal-hybrid (physiological and behavioral) feature set. Similarly this paper, real-time inattention (Hypo-Driver) detection system is proposed through multi-view cameras biosignal sensors to extract hybrid fea...

Driver fatigue is one of the leading causes of traffic accidents. Therefore, the use of assistive systems that monitor a driver’s level of vigilance and alert the driver in case of drowsiness and distraction can be significant in the prevention of accidents. This paper presents morphology based operations in extracting various visual cues like eye, eye brows, mouth and head movement. The parame...

Accident research is highly concerned with the danger to fall asleep at the wheel.. To develop a driver support system that is able to measure the state of the driver a reliable criterion for fatigue has to be found. Several approaches have been made in the past, but the difficulty to operationalise fatigue remains. 75 subjects drove on a monotonous route on highway in a vibro-acoustic simulato...

We propose a driver fatigue recognition model based on the dynamic Bayesian network, information fusion and multiple contextual and physiological features. We include features such as the contact physiological features (e.g., ECG and EEG), and apply the first-order Hidden Markov Model to compute the dynamics of the Bayesian network at different time slices. The experimental validation shows the...

Commercial truck driver Hours-of-Service (HOS) rules are periodically revised to reduce driver fatigue and improve driver health in costefficient ways. HOS research must demonstrate causal relationships between HOS parameters and important safety outcomes. Thus, two scientific requirements are internal validity (demonstration of true cause-effect relationships) and external validity (generaliza...

A Real-time Driver Fatigue Detection System has been developed, using image processing concepts. The system monitors the driver’s eyes in order to detect fatigue. In such a case when fatigue is detected, a warning signal is issued to alert the driver. This report describes how to find the eyes, and also how to determine if the eyes are open or closed. The system deals with using information obt...

Driver fatigue is an important safety issue for long-haul truck drivers. To provide an efficient means of obtaining sleep, long-haul truck drivers often use tractors equipped with sleeper berth units. Depending on the type of cargo and distances traveled, long-haul truck drivers either drive in teams or alone as single drivers. Team drivers, therefore, typically sleep in a moving truck whereas ...