Detecting Driver Drowsiness Using Hybrid Facial Features and Ensemble Learning
Detecting Driver Drowsiness Using Hybrid Facial Features and Ensemble Learning
About this item
Full title
Author / Creator
Xu, Changbiao , Huang, Wenhao , Liu, Jiao and Li, Lang
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Drowsiness while driving poses a significant risk in terms of road safety, making effective drowsiness detection systems essential for the prevention of accidents. Facial signal-based detection methods have proven to be an effective approach to drowsiness detection. However, they bring challenges arising from inter-individual differences among driv...
Alternative Titles
Full title
Detecting Driver Drowsiness Using Hybrid Facial Features and Ensemble Learning
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_23b7db43e4504d1991397f1a0d6fa1e6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_23b7db43e4504d1991397f1a0d6fa1e6
Other Identifiers
ISSN
2078-2489
E-ISSN
2078-2489
DOI
10.3390/info16040294
