Automatic Driver Drowsiness Detection Using Haar Algorithm and Support Vector Machine Techniques
نویسندگان
چکیده
منابع مشابه
Eeg-based Drowsiness Detection Using Support Vector
......................................................................................................................ii DEDICATION ................................................................................................................... v ACKNOWLEDGEMENTS .............................................................................................. vi TABLE OF CONTENTS .................
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Number of accidents during driving is increasing day by day and drowsy driving has been implicated as a causal factor in many accidents. Goal of driver drowsiness detection systems is to reduce these accidents. It has been seen that most of the accidents occur due to driver’s fatigue and a small due to inattention factor, therefore this paper reviews driver’s fatigue monitoring techniques in de...
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Driving while fatigued is just as dangerous as drunk driving and may result in car accidents. Heart rate variability (HRV) analysis has been studied recently for the detection of driver drowsiness. However, the detection reliability has been lower than anticipated, because the HRV signals of drivers were always regarded as stationary signals. The wavelet transform method is a method for analyzi...
متن کاملAutomatic Eye Detection Using Semivariogram Function and Support Vector Machine
Several computational systems which depend on the precise location of the eyes have been developed in the last decades. Aware of this need, we propose a method for automatic detection of eyes in images of human faces using semivariogram functions and support vector machines. Patterns of eyes region and other areas of the face are represented through the semivariogram function to precisely disti...
متن کاملDriver Drowsiness Detection System Using Image Processing
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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ژورنال
عنوان ژورنال: Asian Journal of Applied Sciences
سال: 2015
ISSN: 1996-3343
DOI: 10.3923/ajaps.2015.149.157