A survey on drowsiness detection techniques?

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

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)152-161
Number of pages10
JournalCEUR Workshop Proceedings
StatePublished - 2020
Externally publishedYes
Event6th Iberoamerican Conference of Computer Human Interaction, HCI 2020 - Arequipa, Peru
Duration: 16 Sep 202018 Sep 2020

Bibliographical note

Funding Information:
? Supported by INNOVATE-PER?, Universidad la Salle and X-traplus.

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


  • Drowsiness Detection
  • Fatigue Detection
  • Survey


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