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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Vydané v:	Proceedings of the Future Technologies Conference (FTC) 2022. Volume 2. Future Technologies Conference (7th : 2022 : Vancouver, B.C.; Online) Ročník 560; číslo V2; s. 776
Hlavní autori:	Jan, Muhammad Tanveer, Hashemi, Ali, Jang, Jinwoo, Yang, Kwangsoo, Zhai, Jiannan, Newman, David, Tappen, Ruth, Furht, Borko
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland 2023
Predmet:	Drowsiness Fatigue Vehicular based early-stage dementia behavioural based
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