Driving drowsiness detection using fusion of electroencephalography, electrooculography, and driving quality signals
نویسندگان
چکیده
منابع مشابه
driving 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 کاملAutomated Drowsiness Detection For Improved Driving Safety
Several approaches were proposed for the detection and prediction of drowsiness. The approaches can be categorized as estimating the fitness of duty, modeling the sleep-wake rhythms, measuring the vehicle based performance and online operator monitoring. Computer vision based online operator monitoring approach has become prominent due to its predictive ability of detecting drowsiness. Previous...
متن کاملNon Intrusive Drunken Driving and Driver Drowsiness
The aim of our project is to provide a real time non-intrusive driver drowsiness detection to prevent the rapidly growing accidents caused by sleepy or drunk driver. We are going to merge the 2 requirements for safe driving in a single equipment. The car does not function unless the two conditions of safe driving are satisfied. Bio signals, such as brain waves, pulsation waves, and heart beat a...
متن کاملEEG-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...
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ژورنال
عنوان ژورنال: Journal of Medical Signals & Sensors
سال: 2016
ISSN: 2228-7477
DOI: 10.4103/2228-7477.175868