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.
|Número de páginas||10|
|Publicación||CEUR Workshop Proceedings|
|Estado||Publicada - 2020|
|Publicado de forma externa||Sí|
|Evento||6th Iberoamerican Conference of Computer Human Interaction, HCI 2020 - Arequipa, Perú|
Duración: 16 set. 2020 → 18 set. 2020
Nota bibliográficaPublisher Copyright:
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).