A survey on drowsiness detection techniques?

V. E. Machaca Arceda, J. P. Cahuana Nina, K. M. Fernandez Fabian

Resultado de la investigación: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

Resumen

There are 1.24 million traffic accidents every year with 2.4% caused by drowsy drivers. In that context, several methods for drowsiness detection have been developed. Nevertheless, despite the huge amount of researches, the several devices on markets, and car systems; it is not clear which method is the most appropriate, what sensors are the most useful and least intrusive. This study, shows a systematic literature review of the most recently and relevant methods.

Idioma originalInglés
Páginas (desde-hasta)152-161
Número de páginas10
PublicaciónCEUR Workshop Proceedings
Volumen2747
EstadoPublicada - 2020
Publicado de forma externa
Evento6th Iberoamerican Conference of Computer Human Interaction, HCI 2020 - Arequipa, Perú
Duración: 16 set. 202018 set. 2020

Nota bibliográfica

Publisher Copyright:
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Huella

Profundice en los temas de investigación de 'A survey on drowsiness detection techniques?'. En conjunto forman una huella única.

Citar esto