Review of Research on Fatigue Driving Detection Based on Driver Facial Features
Fatigue driving is one of the main factors that threaten the safety of drivers and traffic. Efficient and accurate fatigue driving detection method can effectively ensure the safety of drivers and their surrounding traffic, maintain traffic order, and reduce property losses and casualties. The fatig...
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| Format: | Article |
| Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2023-06-01
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| Series: | Jisuanji kexue yu tansuo |
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| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2208041.pdf |
| _version_ | 1797809672991801344 |
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| author | YANG Yanyan, LI Leixiao, LIN Hao |
| author_facet | YANG Yanyan, LI Leixiao, LIN Hao |
| author_sort | YANG Yanyan, LI Leixiao, LIN Hao |
| collection | DOAJ |
| description | Fatigue driving is one of the main factors that threaten the safety of drivers and traffic. Efficient and accurate fatigue driving detection method can effectively ensure the safety of drivers and their surrounding traffic, maintain traffic order, and reduce property losses and casualties. The fatigue driving detection method based on the driver’s physiological characteristics and vehicle driving information has many limitations, such as being unfriendly to the driver and having numerous influencing factors. Therefore, the fatigue driving detection method based on the driver’s facial features has become a research hotspot. Firstly, the facial feature performance of fatigue driving is described, and advantages, disadvantages and application scenarios of common public datasets in the field of fatigue driving are summarized. Secondly, the advantages and disadvantages of common face detection algorithms in the field of fatigue driving detection are analyzed and studied by using open datasets and comparative experiments. Then, this paper generalizes the process of detection methods based on driver facial features, whose methods and technologies used in the key steps are reviewed. Furthermore, fatigue discriminant parameters and methods of fatigue driving results prediction are summarized. Finally, this paper ends with a discussion of current challenges of fatigue driving detection methods based on driver facial features and looks forward to the future research. |
| first_indexed | 2024-03-13T06:56:13Z |
| format | Article |
| id | doaj.art-c2268aeed59344df95c169f57a0ecc14 |
| institution | Directory Open Access Journal |
| issn | 1673-9418 |
| language | zho |
| last_indexed | 2024-03-13T06:56:13Z |
| publishDate | 2023-06-01 |
| publisher | Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press |
| record_format | Article |
| series | Jisuanji kexue yu tansuo |
| spelling | doaj.art-c2268aeed59344df95c169f57a0ecc142023-06-07T07:58:32ZzhoJournal of Computer Engineering and Applications Beijing Co., Ltd., Science PressJisuanji kexue yu tansuo1673-94182023-06-011761249126710.3778/j.issn.1673-9418.2208041Review of Research on Fatigue Driving Detection Based on Driver Facial FeaturesYANG Yanyan, LI Leixiao, LIN Hao01. College of Data Science and Application, Inner Mongolia University of Technology, Hohhot 010080, China 2. Inner Mongolia Autonomous Region Software Service Engineering Technology Research Center Based on Big Data, Science and Technology Department of Inner Mongolia Autonomous Region, Hohhot 010080, China 3. College of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, ChinaFatigue driving is one of the main factors that threaten the safety of drivers and traffic. Efficient and accurate fatigue driving detection method can effectively ensure the safety of drivers and their surrounding traffic, maintain traffic order, and reduce property losses and casualties. The fatigue driving detection method based on the driver’s physiological characteristics and vehicle driving information has many limitations, such as being unfriendly to the driver and having numerous influencing factors. Therefore, the fatigue driving detection method based on the driver’s facial features has become a research hotspot. Firstly, the facial feature performance of fatigue driving is described, and advantages, disadvantages and application scenarios of common public datasets in the field of fatigue driving are summarized. Secondly, the advantages and disadvantages of common face detection algorithms in the field of fatigue driving detection are analyzed and studied by using open datasets and comparative experiments. Then, this paper generalizes the process of detection methods based on driver facial features, whose methods and technologies used in the key steps are reviewed. Furthermore, fatigue discriminant parameters and methods of fatigue driving results prediction are summarized. Finally, this paper ends with a discussion of current challenges of fatigue driving detection methods based on driver facial features and looks forward to the future research.http://fcst.ceaj.org/fileup/1673-9418/PDF/2208041.pdfdriver facial features; fatigue driving test; fatigue discriminant parameters; feature extraction; face detection |
| spellingShingle | YANG Yanyan, LI Leixiao, LIN Hao Review of Research on Fatigue Driving Detection Based on Driver Facial Features Jisuanji kexue yu tansuo driver facial features; fatigue driving test; fatigue discriminant parameters; feature extraction; face detection |
| title | Review of Research on Fatigue Driving Detection Based on Driver Facial Features |
| title_full | Review of Research on Fatigue Driving Detection Based on Driver Facial Features |
| title_fullStr | Review of Research on Fatigue Driving Detection Based on Driver Facial Features |
| title_full_unstemmed | Review of Research on Fatigue Driving Detection Based on Driver Facial Features |
| title_short | Review of Research on Fatigue Driving Detection Based on Driver Facial Features |
| title_sort | review of research on fatigue driving detection based on driver facial features |
| topic | driver facial features; fatigue driving test; fatigue discriminant parameters; feature extraction; face detection |
| url | http://fcst.ceaj.org/fileup/1673-9418/PDF/2208041.pdf |
| work_keys_str_mv | AT yangyanyanlileixiaolinhao reviewofresearchonfatiguedrivingdetectionbasedondriverfacialfeatures |