Stacked Ensemble Classification Based Real-Time Driver Drowsiness Detection
نویسندگان
چکیده
منابع مشابه
A Real Time Driver Drowsiness Detection System
Driving with drowsiness is one of the main causes of traffic accidents. Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Due to the hazard that drowsiness presents on the road, methods need to be developed for countera...
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Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of drivers’ drowsiness thus is of great importance to reduce drowsiness-caused accidents. This proposed research developed a real-time, nonintrusive driver drowsiness detection system by building biosensors on the automobile steering wheel and...
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This paper presents a design of a unique solution for detecting driver drowsiness state in real time, based on eye conditions. Many approaches have been used to address this issue in the past. But this paper presents a simple algorithm based solution with min imum hardware requirements. Under the controlled environment, the proposed system is successfully operated to generate results with appro...
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Automotive has gained several benefits from the Ambient Intelligent researches involving the deployment of sensors and hardware devices into an intelligent environment surrounding people, meeting users’ requirements and anticipating their needs. One of the main topics in automotive is to anticipate driver needs and safety, in terms of preventing critical and dangerous events. Considering the hi...
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Today most accidents are caused by drivers’ fatigue, drowsiness and losing attention on the road ahead. In this paper, a system is introduced, using RGB-D cameras to automatically identify drowsiness and give warning. In this system two important modules have been utilized simultaneously to identify the state of driver’s mouth and eyes for detecting drowsiness. At first, using the depth informa...
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ژورنال
عنوان ژورنال: International Journal of Safety and Security Engineering
سال: 2020
ISSN: 2041-9031,2041-904X
DOI: 10.18280/ijsse.100308