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


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
EstadoPublicada - 2020
Publicado de forma externa
Evento6th Iberoamerican Conference of Computer Human Interaction, HCI 2020 - Arequipa, Perú
Duración: 16 set. 202018 set. 2020

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


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