Real Time Of Drowsiness Recognition System Based On Electrooculography

Mohamed, Anis Atiqah (2017) Real Time Of Drowsiness Recognition System Based On Electrooculography. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

One of the major reasons for road accidents now a day is due to driver fatigue.Be it long distant travelling or drunk driving drowsy state leads to risky crashes which are hazardous to lives as well.To overcome such accidents some method has to be developed that is feasible to all vehicle drivers.The eye has a lot powerful communication power.Here,electrooculography (EOG) based alertness detection system for a vehicle driver is present. Electrooculography (EOG) is an efficient bio-electrical signal that can be used to measure the change in eye positions.Normal time duration between eye blink patterns is measured by several observations .The algorithm is based on measure of time duration between blink movements of eye.Algorithm is set such that If the time duration between blink patterns is more than normal than person may napped or not in alert stage.The basic electrooculography (EOG) system with (PSL iEOG2) is build and time duration algorithm set through signal processing tool kit in mat lab and arduino.Time duration between blink signals crosses the sated reference time that means driver is obviously in abnormal stage maybe in napped or fatigue condition.However,both condition dangerous for driving.In this project,we design simple hardware,just measuring time duration between two consecutive picks of blink signal which is as same as measure of Electrooculography (EOG) interval circuit and when we find time duration just beyond reference time we have to trigger on devices that make driver alert and that can easily prevent threats of sudden accident.

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