Heart Beat Based Drowsiness Detection System for Driver

Most traffic accidents are caused by negligence of the driver in managing rest time when driving; driver was sleepy and so could not control the vehicle. Therefore, it is necessary to have a device that can detect sleepiness and warn the driver beforehand so that the driver can avoid the accident. T...

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Bibliographic Details
Published in2018 International Seminar on Application for Technology of Information and Communication pp. 585 - 590
Main Authors Dewi Purnamasari, Prima, Zul Hazmi, Aziz
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2018
Subjects
Accidents
drowsiness detection
Hardware
Heart beat
Photoplethysmography
Sleep
Vehicles
Online AccessGet full text
DOI10.1109/ISEMANTIC.2018.8549786

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Abstract Most traffic accidents are caused by negligence of the driver in managing rest time when driving; driver was sleepy and so could not control the vehicle. Therefore, it is necessary to have a device that can detect sleepiness and warn the driver beforehand so that the driver can avoid the accident. The development of this drowsiness detection system is using the heartbeat as a source of data to be retrieved using Photoplethysmography sensor. The system then classifies and determines the drowsiness level of the driver based on his/her heartbeat. This system uses Arduino Nano and Odroid XU4 as the processing unit and has LCD to display the output. The developed system has the success rate up to 96.52%. From this work, it has been proven that a person's sleep condition will affect the heart rate.
AbstractList Most traffic accidents are caused by negligence of the driver in managing rest time when driving; driver was sleepy and so could not control the vehicle. Therefore, it is necessary to have a device that can detect sleepiness and warn the driver beforehand so that the driver can avoid the accident. The development of this drowsiness detection system is using the heartbeat as a source of data to be retrieved using Photoplethysmography sensor. The system then classifies and determines the drowsiness level of the driver based on his/her heartbeat. This system uses Arduino Nano and Odroid XU4 as the processing unit and has LCD to display the output. The developed system has the success rate up to 96.52%. From this work, it has been proven that a person's sleep condition will affect the heart rate.
Author Zul Hazmi, Aziz
Dewi Purnamasari, Prima
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  organization: Faculty of Engineering, Department of Electrical Engineering, Universitas Indonesia, Depok, 16424, Indonesia
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Snippet Most traffic accidents are caused by negligence of the driver in managing rest time when driving; driver was sleepy and so could not control the vehicle....
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StartPage 585
SubjectTerms Accidents
drowsiness detection
Hardware
Heart beat
Photoplethysmography
Sleep
Vehicles
Title Heart Beat Based Drowsiness Detection System for Driver
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