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A Fuzzy Logic Based Driver Fatigue Detection System
ISSN: 0148-7191, e-ISSN: 2688-3627
Published October 30, 2007 by SAE International in United States
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In this paper, we explain the process of designing fuzzy based analyzers which can be installed in a vehicle. These analyzers use some kinds of sensors to detect the driver fatigue. This system helps a driver to be alert during vehicle driving. We propose a fatigue detection method which works in different way from the previous systems. In this method using some tactile sensors, the system predicts fatigue before the driver falls asleep, while driver's alertness and reaction decreases and the probability of the accident increases. An alarm massage concentrates the driver attention while s/he is going to be fallen in sleep. An advantage of this kind of fatigue detection is that it doesn't interfere with the driver's habit in vehicle control and it resumes functioning only in critical moments.
CitationPour, K., Menhaj, M., and Davoudi, M., "A Fuzzy Logic Based Driver Fatigue Detection System," SAE Technical Paper 2007-01-4276, 2007, https://doi.org/10.4271/2007-01-4276.
- Rosekind M. R. Gregory K. B. Miller D. L. “Crew factors in flight operations XIII: A survey of fatigue factors in corporate/executive aviation Operations,” Ames Res. Center, Nat. Aeronautics Space Admin., Moffett Field, CA, Tech. Rep. NASA/TM-2000-209610 Sep. 2000
- Horne Jim Reyner Louise Sleep Related Vehicle Accidents, Sleep Research Laboratory Loughborough University 2000
- Horne Jim The Phenomena of Human Sleep; The Karger Gazette April 1997
- Wang J. S. the Role of Driver Inattention in Crashes; New Statistics from the 1995 Crashworthiness Data System. Proceedings of the 40th Annual Conference of the Association for the Advancement of Automotive Medicine Vancouver October 7-9 1996
- Corfitsen M. Thyge Tiredness and Visual Reaction Time Among Young Male Nighttime Drivers A Roadside Survey, Accident Analysis and Prevention 26 5 1994
- Mavjee V. Horne J.A. Boredom effects on sleepiness/alertness in the early afternoon vs early evening, and interactions with warm ambient temperature British Journal of Psychology 1994 317 334
- Verwey W. B. et al Preventing drowsiness accidents by an alertness maintenance device, Accident Analysis & Prevention 1999
- Davoudi M. Menhaj M. B. Davoudi Me. A Fuzzy Based Vehicle Dynamic Stability Control (FDSC) SAE Commercial Vehicle Engineering Congress & Exhibition 2006 USA
- Buckholtz Kenneth R. Use of Fuzzy Logic in Wheel Slip Assignment: Yaw Rate Control with Sideslip Angle Limitation Delphi Automotive Systems, Vehicle Dynamics and Simulation 2002
- Buchanan B. G. Shortlire E. H. Rule-Based Expert Systems, Addison-Wesley, Reading MA, Menlo Park, CA 1984
- Novak V. Perlieva I. Mo·cko·r J. Mathematical principles of fuzzy logic Kluwer Academic Publ. Boston/Dordrecht 1999
- Kreinovich V. Mouzouris G. C. Nguyen H. T. Fuzzy rule based modeling as a universal approximation tool Nguyen H. T. Sugeno M. Fuzzy Systems: Modeling and Control Kluwer, Boston, MA 1998 135195