NON-INTRUSIVE DROWSINESS DETECTION TECHNIQUES AND THEIR APPLICATION IN DETECTING EARLY DEMENTIA IN OLDER DRIVERS

Drowsy drivers cause the most car accidents thus, adopting an efficient drowsiness detection system can alert the driver promptly and precisely which will reduce the numbers of accidents and also save a lot of money. This paper discusses many tactics and methods for drowsy driving warning. The non-i...

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Bibliographic Details

Published in:	Proceedings of the Future Technologies Conference (FTC) 2022. Volume 2. Future Technologies Conference (7th : 2022 : Vancouver, B.C.; Online) Vol. 560; no. V2; p. 776
Main Authors:	Jan, Muhammad Tanveer, Hashemi, Ali, Jang, Jinwoo, Yang, Kwangsoo, Zhai, Jiannan, Newman, David, Tappen, Ruth, Furht, Borko
Format:	Journal Article
Language:	English
Published:	Switzerland 2023
Subjects:	Drowsiness Fatigue Vehicular based early-stage dementia behavioural based
Online Access:	Get more information
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