Facial Expression Detector While Driving

Facial expression when a person is sleepy can be seen from eye behavior and facial behavior. To detect the driver's drowsiness, facial expression is a form of non-verbal communication that results from one or more facial muscle movements that can indicate a person's emotional state. This d...

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Main Authors: Indah Dara Wefa, Riki Mukhaiyar
Format: Article
Language:English
Published: Universitas Negeri Padang 2024-02-01
Series:Jurnal Teknik Elektro Indonesia
Subjects:
Online Access:http://jtein.ppj.unp.ac.id/index.php/JTEIN/article/view/606
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author Indah Dara Wefa
Riki Mukhaiyar
author_facet Indah Dara Wefa
Riki Mukhaiyar
author_sort Indah Dara Wefa
collection DOAJ
description Facial expression when a person is sleepy can be seen from eye behavior and facial behavior. To detect the driver's drowsiness, facial expression is a form of non-verbal communication that results from one or more facial muscle movements that can indicate a person's emotional state. This detector works automatically when the system runs without external control. The system is controlled only via the desktop using the Convolutional Neural Network (CNN) method. The working principle of this tool is to start by connecting the power when the system and the Desktop are turned on, then activate the Open CV software created on the desktop and continue testing to recognize the driver's face. If the detected face has a sleepy expression, the device will show the driver's drowsiness through the speaker and warn the driver to be careful when driving. The test results show that the system can detect drowsiness optimally. With the existence of this tool, it is hoped that it can reduce the death rate due to traffic accidents by preventing the driver from experiencing the sleep phase while driving.
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id doaj-art-e72a5d214ab74466bcbfadcad66dff5c
institution Kabale University
issn 2723-0589
language English
publishDate 2024-02-01
publisher Universitas Negeri Padang
record_format Article
series Jurnal Teknik Elektro Indonesia
spelling doaj-art-e72a5d214ab74466bcbfadcad66dff5c2025-08-20T03:53:27ZengUniversitas Negeri PadangJurnal Teknik Elektro Indonesia2723-05892024-02-015113814610.24036/jtein.v5i1.606606Facial Expression Detector While DrivingIndah Dara Wefa0Riki Mukhaiyar1Universitas Negeri PadangUniversitas Negeri PadangFacial expression when a person is sleepy can be seen from eye behavior and facial behavior. To detect the driver's drowsiness, facial expression is a form of non-verbal communication that results from one or more facial muscle movements that can indicate a person's emotional state. This detector works automatically when the system runs without external control. The system is controlled only via the desktop using the Convolutional Neural Network (CNN) method. The working principle of this tool is to start by connecting the power when the system and the Desktop are turned on, then activate the Open CV software created on the desktop and continue testing to recognize the driver's face. If the detected face has a sleepy expression, the device will show the driver's drowsiness through the speaker and warn the driver to be careful when driving. The test results show that the system can detect drowsiness optimally. With the existence of this tool, it is hoped that it can reduce the death rate due to traffic accidents by preventing the driver from experiencing the sleep phase while driving.http://jtein.ppj.unp.ac.id/index.php/JTEIN/article/view/606drowsinessdetectiondesktop✔ convolutional neural network (cnn)camera
spellingShingle Indah Dara Wefa
Riki Mukhaiyar
Facial Expression Detector While Driving
Jurnal Teknik Elektro Indonesia
drowsiness
detection
desktop
✔ convolutional neural network (cnn)
camera
title Facial Expression Detector While Driving
title_full Facial Expression Detector While Driving
title_fullStr Facial Expression Detector While Driving
title_full_unstemmed Facial Expression Detector While Driving
title_short Facial Expression Detector While Driving
title_sort facial expression detector while driving
topic drowsiness
detection
desktop
✔ convolutional neural network (cnn)
camera
url http://jtein.ppj.unp.ac.id/index.php/JTEIN/article/view/606
work_keys_str_mv AT indahdarawefa facialexpressiondetectorwhiledriving
AT rikimukhaiyar facialexpressiondetectorwhiledriving