Feature Extraction and Evaluation for Driver Drowsiness Detection Based on Thermoregulation
Feature Extraction and Evaluation for Driver Drowsiness Detection Based on Thermoregulation
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Numerous reports state that drowsiness is one of the major factors affecting driving performance and resulting in traffic accidents. In the past, methods to detect driver drowsiness have been developed based on physiological, behavioral, and vehicular features. In this pilot study, we test the use of a new set of features for detecting driver drows...
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Full title
Feature Extraction and Evaluation for Driver Drowsiness Detection Based on Thermoregulation
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TN_cdi_doaj_primary_oai_doaj_org_article_9a165d0e39ef48f7944b427b56b8a82b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9a165d0e39ef48f7944b427b56b8a82b
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app9173555
