Towards Context-based Fatigue Detection System in Vehicular Area Network

[1]  Sukhan Lee,et al.  Performance evaluation of decision making strategies for an embedded lane departure warning system , 2002, J. Field Robotics.

[2]  A T McCartt,et al.  The scope and nature of the drowsy driving problem in New York State. , 1995, Accident; analysis and prevention.

[3]  T. Åkerstedt.  Work hours and sleepiness , 1995, Neurophysiologie Clinique/Clinical Neurophysiology.

[4]  Jane C Stutts,et al.  Driver risk factors for sleep-related crashes. , 2003, Accident; analysis and prevention.

[5]  C. I. Neutel,et al.  Risk of traffic accident injury after a prescription for a benzodiazepine. , 1995, Annals of epidemiology.

[6]  T. Åkerstedt,et al.  SLEEPINESS AND DAYS OF RECOVERY , 2000 .

[7]  T. Åkerstedt,et al.  Subjective sleepiness, simulated driving performance and blink duration: examining individual differences , 2006, Journal of sleep research.

[8]  D. Dinges.  An overview of sleepiness and accidents , 1995, Journal of sleep research.

[9]  Ashley Craig,et al.  Development of an algorithm for an EEG-based driver fatigue countermeasure. , 2003, Journal of safety research.

[10]  Judea Pearl,et al.  Fusion, Propagation, and Structuring in Belief Networks , 1986, Artif. Intell..

[11]  J. Walsh,et al.  The sleep of long-haul truck drivers. , 1997, The New England journal of medicine.