IEEE - Institute of Electrical and Electronics Engineers, Inc. - Early Detection of Driver Drowsiness Utilizing Machine Learning based on Physiological Signals, Behavioral Measures, and Driving Performance

2018 IEEE International Conference on Intelligent Transportation Systems (ITSC)

Author(s): Jongseong Gwak ; Motoki Shino ; Akinari Hirao
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2018
Conference Location: Maui, HI, USA, USA
Conference Date: 4 November 2018
Page(s): 1,794 - 1,800
ISBN (Electronic): 978-1-7281-0323-5
ISBN (USB): 978-1-7281-0322-8
ISBN (Paper): 978-1-7281-0321-1
ISSN (Electronic): 2153-0017
DOI: 10.1109/ITSC.2018.8569493
Regular:

Driver drowsiness is one of the most causes of traffic accidents worldwide. To prevent such accidents, it is necessary to detect driver drowsiness as early as possible. In previous studies, it was... View More

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