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Detection of Drowsiness using Electroencephalograph Sensor

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Detection of Drowsiness using Electroencephalograph Sensor

S. M. Ajitha | J. Aadhinarayanan | I. S. Akashkumar | A. Muhammed Jaisel | R. Sadeesh

S. M. Ajitha | J. Aadhinarayanan | I. S. Akashkumar | A. Muhammed Jaisel | R. Sadeesh "Detection of Drowsiness using Electroencephalograph Sensor" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5, August 2020, pp.968-970, URL: https://www.ijtsrd.com/papers/ijtsrd30391.pdf

Drowsy driving is a one of the most common cause of accident. The risk and danger that results due to drowsy driving are alarming. The drowsy driving usually happens when the driver has not slept enough, it can also happen due to continuous shift work, sleep disorders, medications, alcohols, illness. In this study, we have proposed development of a drowsiness detection system using a portable electroencephalograph (EEG) and a mobile device. This proposed mobile app is expected to minimize the accidents caused by drowsy driving [1]. By using Electroencephalogram (EEG) sensor, the condition of drowsiness is detected by recording the electrical activity that occurs in the human brain and is represented as a frequency signal. This frequency signal is transmitted to the mobile app using Bluetooth and will give an alarm notification when the drowsiness is detected. If the driver does not respond within a given time (e.g. greater than 1 minute) then it sends alert to the emergency contacts [1]. The brainwave from the EEG sensor is classified into four features, namely Delta, Theta, Alpha, and Beta waves.

Drowsiness, Electroencephalogram (EEG), Accident Prevention, Brain Wave, Mobile Application

Volume-4 | Issue-5, August 2020
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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