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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Veröffentlicht in:	Proceedings of the Future Technologies Conference (FTC) 2022. Volume 2. Future Technologies Conference (7th : 2022 : Vancouver, B.C.; Online) Jg. 560; H. V2; S. 776
Hauptverfasser:	Jan, Muhammad Tanveer, Hashemi, Ali, Jang, Jinwoo, Yang, Kwangsoo, Zhai, Jiannan, Newman, David, Tappen, Ruth, Furht, Borko
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland 2023
Schlagworte:	Drowsiness Fatigue Vehicular based early-stage dementia behavioural based
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