SUBJECTIVE METHODS FOR ASSESSMENT OF DRIVER DROWSINESS

The paper deals with the issue of fatigue and sleepiness behind the wheel, which for a long time has been of vital importance for the research in the area of driver-car interaction safety. Numerous experiments on car simulators with diverse measurements to observe human behavior have been performed at the laboratories of the faculty of the authors. The paper provides analysis and an overview and assessment of the subjective (self-rating and observer rating) methods for observation of driver behavior and the detection of critical behavior in sleep deprived drivers using the developed subjective rating scales.

[1]  R. Job,et al.  Defining fatigue as a condition of the organism and distinguishing it from habituation, adaptation, and boredom , 2001 .

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

[3]  Stanislav Novotný,et al.  Hybrid mirrors for driving simulators: design, construction and experiments , 2007 .

[4]  Petr Bouchner.  IDENTIFICATION OF DRIVER'S DROWSINESS USING DRIVING INFORMATION AND EEG , 2010 .

[5]  Petr Bouchner,et al.  SIMULTANEOUS RECORDING OF ELECTRIC AND METABOLIC BRAIN ACTIVITY , 2010 .

[6]  Dot Hs.  Guidelines to Observe And Estimate Statewide Seat Belt Use at Night , 2010 .

[7]  Gerhard P. Hancke,et al.  Eye detection for a real-time vehicle driver fatigue monitoring system , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

[8]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[9]  Robin Johnson,et al.  Identifying periods of drowsy driving using EEG. , 2013, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

[10]  Anna Anund,et al.  Observer Rated Sleepiness and Real Road Driving: An Explorative Study , 2013, PloS one.

[11]  Miguel A. García-González,et al.  Drowsiness Detection by Electrooculogram Signal Analysis in Driving Simulator Conditions for Gold Standard Signal Generation , 2013, BIODEVICES.

[12]  G. Borja,et al.  Design and implementation of sleep monitoring system using electrooculographs signals , 2014, 2014 Pan American Health Care Exchanges (PAHCE).

[13]  Stephen M. James,et al.  Police drowsy driving: predicting fatigue-related performance decay , 2015 .

[14]  Mehreen Sirshar,et al.  Real time drowsiness detection using eye blink monitoring , 2015, 2015 National Software Engineering Conference (NSEC).

[15]  Jian-Ping Li,et al.  Eye behaviour based drowsiness Detection System , 2015, 2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

[16]  Marieke H Martens,et al.  Drowsy drivers' under-performance in lateral control: How much is too much? Using an integrated measure of lateral control to quantify safe lateral driving. , 2015, Accident; analysis and prevention.

[17]  Ross Owen Phillips,et al.  A review of definitions of fatigue - and a step towards a whole definition , 2015 .

[18]  B. Radhika,et al.  EEG-BASED BRAIN WAVE SENSOR TO DETECT DROWSINESS WITH EYE OPEN , 2016 .