Publication | Closed Access
Development of drowsiness detection system
197
Citations
1
References
2002
Year
Unknown Venue
EngineeringWearable TechnologyDiagnosisAdvanced Driver-assistance SystemDriver AlertnessFace DetectionReal-time Image AnalysisFatigue ManagementImage AnalysisAccident Avoidance SystemsDriver BehaviorNoiseSignal DetectionVision SensorDiminished AlertnessSleepMachine VisionOphthalmologyComputer ScienceDriver PerformanceSignal ProcessingComputer VisionVideo AnalysisDrowsiness Detection SystemSpeech ProcessingHealth MonitoringMedicine
The development of technologies for preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Preventing drowsiness during driving requires a method for accurately detecting a decline in driver alertness and a method for alerting and refreshing the driver. As a detection method, the authors have developed a system that uses image processing technology to analyze images of the driver's face taken with a video camera. Diminished alertness is detected on the basis of the degree to which the driver's eyes are open or closed. This detection system provides a noncontact technique for judging various levels of driver alertness and facilitates early detection of a decline in alertness during driving.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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