Driver Distraction and Stress Detection Systems: A Review
نویسندگان
چکیده
منابع مشابه
A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection
Every year, many car accidents due to driver fatigue and distraction occur around the world and cause many casualties and injuries. Driver face monitoring systems is one of the main approaches for driver fatigue or distraction detection and accident prevention. Driver face monitoring systems capture the images from driver face and extract the symptoms of fatigue and distraction from eyes, mouth...
متن کاملDriver distraction: A review of the literature
This report provides a comprehensive review of the current research on driver distractions deriving from within the vehicle. The impact of technology (e.g., mobile phones and route guidance systems) and non technology-based distractions (e.g., eating, smoking and conversing with passengers) on driving performance is examined and the relative influence of these distractions on driving is discuss...
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In order to design safe vehicles it is important to be able to evaluate in-vehicle systems to determine how distracting they are for people to use while driving. The Peripheral Detection Task (PDT) is a method for measuring the amount of driver mental workload and visual distraction in road vehicles. It is a secondary task measure where drivers must respond to random targets presented in their ...
متن کاملDriver Inattention , Driver Distraction and Traffic Crashes
ITE JOURNAL / JULY 2003 INTRODUCTION The National Highway Traffic Safety Administration (NHTSA) has estimated that driver inattention is a causative factor in 25–30 percent of police-reported traffic crashes in the United States— approximately 1.2 million crashes per year.1,2 An inattentive driver may be distracted temporarily from the driving task by something inside or outside the vehicle, ma...
متن کاملDriver distraction detection and recognition using RGB-D sensor
Driver inattention assessment has become a very active field in intelligent transportation systems. Based on active sensor Kinect and computer vision tools, we have built an efficient module for detecting driver distraction and recognizing the type of distraction. Based on color and depth map data from the Kinect, our system is composed of four sub-modules. We call them eye behavior (detecting ...
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ژورنال
عنوان ژورنال: International Journal of Engineering and Applied Sciences (IJEAS)
سال: 2020
ISSN: 2394-3661
DOI: 10.31873/ijeas.7.04.10