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An eye fatigue recognition system using YOLOv2

The rapid increase in global population significantly drives the hiking demand for transportations. This trend further leads to the increase in the number of road traffic accidents globally. Based on a study, fatigue due to prolonged driving is one of the leading causes for traffic accidents. With a...

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Main Authors: Lau, C., Leong, H., Chuah, Joonhuang, Kamarudin, N.H.
Format: Conference or Workshop Item
Published: 2021
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/36120/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126484835&doi=10.1109%2fi-PACT52855.2021.9696747&partnerID=40&md5=2d5949f1e45877036d7b0ddff2529941
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spelling my.um.eprints.361202024-10-28T03:03:14Z http://eprints.um.edu.my/36120/ An eye fatigue recognition system using YOLOv2 Lau, C. Leong, H. Chuah, Joonhuang Kamarudin, N.H. TK Electrical engineering. Electronics Nuclear engineering The rapid increase in global population significantly drives the hiking demand for transportations. This trend further leads to the increase in the number of road traffic accidents globally. Based on a study, fatigue due to prolonged driving is one of the leading causes for traffic accidents. With a customized Graphical User Interface (GUI), this work aims to develop an eye fatigue recognition system using YOLOv2 model. The proposed method used PERCLOS and blink rate parameters as indicators to determine the alertness of the user. This proposed method achieved a real-time average accuracy of 99.23 in normal lighting conditions and 98.57 in low light conditions. © 2021 IEEE. 2021 Conference or Workshop Item PeerReviewed Lau, C. and Leong, H. and Chuah, Joonhuang and Kamarudin, N.H. (2021) An eye fatigue recognition system using YOLOv2. In: rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021, 27 November 2021, Virtual, Online. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126484835&doi=10.1109%2fi-PACT52855.2021.9696747&partnerID=40&md5=2d5949f1e45877036d7b0ddff2529941
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lau, C.
Leong, H.
Chuah, Joonhuang
Kamarudin, N.H.
An eye fatigue recognition system using YOLOv2
description The rapid increase in global population significantly drives the hiking demand for transportations. This trend further leads to the increase in the number of road traffic accidents globally. Based on a study, fatigue due to prolonged driving is one of the leading causes for traffic accidents. With a customized Graphical User Interface (GUI), this work aims to develop an eye fatigue recognition system using YOLOv2 model. The proposed method used PERCLOS and blink rate parameters as indicators to determine the alertness of the user. This proposed method achieved a real-time average accuracy of 99.23 in normal lighting conditions and 98.57 in low light conditions. © 2021 IEEE.
format Conference or Workshop Item
author Lau, C.
Leong, H.
Chuah, Joonhuang
Kamarudin, N.H.
author_facet Lau, C.
Leong, H.
Chuah, Joonhuang
Kamarudin, N.H.
author_sort Lau, C.
title An eye fatigue recognition system using YOLOv2
title_short An eye fatigue recognition system using YOLOv2
title_full An eye fatigue recognition system using YOLOv2
title_fullStr An eye fatigue recognition system using YOLOv2
title_full_unstemmed An eye fatigue recognition system using YOLOv2
title_sort eye fatigue recognition system using yolov2
publishDate 2021
url http://eprints.um.edu.my/36120/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126484835&doi=10.1109%2fi-PACT52855.2021.9696747&partnerID=40&md5=2d5949f1e45877036d7b0ddff2529941
_version_ 1814933193091973120
score 13.211869

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