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 original | Inglés |
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Páginas (desde-hasta) | 152-161 |
Número de páginas | 10 |
Publicación | CEUR Workshop Proceedings |
Volumen | 2747 |
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 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).