e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : Various Methods for Driver Drowsiness Detection : An Overview
Authors : Pankti P. Bhatt, Dr. Jeegar A. Trivedi
Keywords : Driver Drowsiness detection; Blink pattern; Face Detection; EOG; ECG; EEG; LBP; SVM; ASM; HMM; ICA; PCA.
Issue Date : Mar 2017.
Abstract :
This paper presents survey and review of research and development in the field of drowsiness detection which occurs due to unsteady state of drivers. Road accidents are a major cause of death nowadays. The death ratio has increased due to the road mishaps. Sometimes driver’s inattentiveness while driving vehicle may lead to a major loss of life. Drowsiness detection of drivers is a secure and safety technology which helps prevent accidents in a car. Research is going on massively in this field in order to lessen the accidents. This paper presents a comprehensive review of various methods/technologies that have been developed and used over the last few years for the detection and classification of drowsy state and mainly concentrate on following methods and their implementation for drowsiness detection such as, Steering pattern monitoring, Vehicle position in lane monitoring, Driver eye/face monitoring, Physiological measurement: EEG, EOG and ECG, Optical Detection, Yawning based Detection, Eye open-closer and Eye Blinking based technique and Head Position Detection.
Page(s) : 70-74
ISSN : 0975–3397
Source : Vol. 9, Issue.03

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