Real Time Monitoring for Drowsiness Detection using EEG System

International Journal of Electronics and Communication Engineering

© 2015 by SSRG - IJECE Journal

Volume 2 Issue 5

Year of Publication : 2015

Authors : Mahalingam D , Rajkumar P , Banu Priya R and Sudha P

10.14445/23488549/IJECE-V2I5P113

How to Cite?

Mahalingam D , Rajkumar P , Banu Priya R and Sudha P, "Real Time Monitoring for Drowsiness Detection using EEG System," SSRG International Journal of Electronics and Communication Engineering, vol. 2,  no. 5, pp. 42-44, 2015. Crossref, https://doi.org/10.14445/23488549/IJECE-V2I5P113

Abstract:

Now a day’s driver drowsiness effect severe accidents. Normally many factors are there for detecting drowsiness such as analysis of physiological signals Electroencephalogram (EEG), Electrocardiogram (ECG) etc., Driver behavior monitoring. The reliable detection of drowsiness is an important factor in this system. An accurate Real time monitoring of driver’s drowsiness by warning system to driver, is implemented in this paper. Wireless and wearable EEG Dry electrode used for recording EEG signal. If a person mentally sleeping with eyes open for few seconds, then the level of brain signal will get change than the normal level. EEG is used to detect the abnormal conditions related to the electrical activities of the brain. Eye blinking level can be monitoring by eye blink sensor such as open or close status of eye. Object sensor used for detecting any obstacles are there, in front of the vehicle. Simulation result exposed in PROTEUS VSM Software using PIC microcontroller. The signal values are transmitted through ZigBee module. When implement, monitoring the bio-signals and driver performance like eyelid movement will increase the accuracy of drowsiness detection system. These methods are very sufficient for this drowsiness detection system

Keywords:

Electroencephalogram, Eye blink sensor, Object sensor, ZigBee, Drowsiness.

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