Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN
Joint Authors
Zhao, Zuopeng
Zhang, Zhongxin
Yan, Hualin
Zhou, Nana
Zhang, Lan
Xu, Yi
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With a focus on fatigue driving detection research, a fully automated driver fatigue status detection algorithm using driving images is proposed.
In the proposed algorithm, the multitask cascaded convolutional network (MTCNN) architecture is employed in face detection and feature point location, and the region of interest (ROI) is extracted using feature points.
A convolutional neural network, named EM-CNN, is proposed to detect the states of the eyes and mouth from the ROI images.
The percentage of eyelid closure over the pupil over time (PERCLOS) and mouth opening degree (POM) are two parameters used for fatigue detection.
Experimental results demonstrate that the proposed EM-CNN can efficiently detect driver fatigue status using driving images.
The proposed algorithm EM-CNN outperforms other CNN-based methods, i.e., AlexNet, VGG-16, GoogLeNet, and ResNet50, showing accuracy and sensitivity rates of 93.623% and 93.643%, respectively.
American Psychological Association (APA)
Zhao, Zuopeng& Zhou, Nana& Zhang, Lan& Yan, Hualin& Xu, Yi& Zhang, Zhongxin. 2020. Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1138806
Modern Language Association (MLA)
Zhao, Zuopeng…[et al.]. Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1138806
American Medical Association (AMA)
Zhao, Zuopeng& Zhou, Nana& Zhang, Lan& Yan, Hualin& Xu, Yi& Zhang, Zhongxin. Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1138806
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138806