EEG-based drowsiness detection for safe driving using chaotic features and statistical tests
نویسندگان
چکیده
منابع مشابه
EEG-based Drowsiness Detection for Safe Driving Using Chaotic Features and Statistical Tests
Electro encephalography (EEG) is one of the most reliable sources to detect sleep onset while driving. In this study, we have tried to demonstrate that sleepiness and alertness signals are separable with an appropriate margin by extracting suitable features. So, first of all, we have recorded EEG signals from 10 volunteers. They were obliged to avoid sleeping for about 20 hours before the test....
متن کاملanalysis of eeg signal of drowsiness driving using chaotic features and statistical tests
electro encephalography is one of the reliable sources to detect sleep onset while driving. in this study we have tried to demonstrate that sleepiness and alertness signals are separable with an appropriate margin by extracting suitable features. so first of all we have recorded eeg signals from 10 volunteers. they were obliged to be sleep deprived about 20 hours before the test. we recorded th...
متن کاملThe Mechanical Design of Drowsiness Detection Using Color Based Features
This paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. This system can be used in multiple places. For example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. This system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. A...
متن کاملEeg-based Drowsiness Detection Using Support Vector
......................................................................................................................ii DEDICATION ................................................................................................................... v ACKNOWLEDGEMENTS .............................................................................................. vi TABLE OF CONTENTS .................
متن کاملdriving drowsiness detection using fusion of eeg, eog and driving quality signals
this study investigates the detection of the drowsiness state for a future application such as in the reduction ofthe road traffic accidents. the electroencephalography(eeg), electrooculography (eog), driving quality (dq), and karolinska sleepiness scale (kss) data of 7 male during approximately 20 hours of sleep deprivation were recorded. to reduce the eye blink artifact, an automatic mechanis...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Medical Signals & Sensors
سال: 2011
ISSN: 2228-7477
DOI: 10.4103/2228-7477.95297