Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection
نویسندگان
چکیده
منابع مشابه
Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection
Currently, driver drowsiness detectors using video based technology is being widely studied. Eyelid closure degree (ECD) is the main measure of the video-based methods, however, drawbacks such as brightness limitations and practical hurdles such as distraction of the drivers limits its success. This study presents a way to compute the ECD using EEG sensors instead of video-based methods. The pr...
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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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Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough according to the experts. Studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. Attention assist ...
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now a day’s Road accidents are common in developed as well as developing countries. These accidents happen due to different different reasons like sleeping disorders, working in night shift or more than eight hours as over time, side effects of medicine, alcohol, speeding, freakishness of teenager’s etc. One of the most important reasons is drowsiness. Drowsiness means sleepiness, which affects...
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......................................................................................................................ii DEDICATION ................................................................................................................... v ACKNOWLEDGEMENTS .............................................................................................. vi TABLE OF CONTENTS .................
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ژورنال
عنوان ژورنال: Sensors
سال: 2014
ISSN: 1424-8220
DOI: 10.3390/s140917491