A convolutional neural network -based driver monitoring system for drowsiness and distraction detection

Sara Benkouider, Nasreddine Lagraa

Open source

DOI
10.11591/ijece.v16i4.pp2220-2229
Published
2026-08-01
Container
International Journal of Electrical and Computer Engineering (IJECE)
Publisher
Institute of Advanced Engineering and Science
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.11591/ijece.v16i4.pp2220-2229,
  title = {A convolutional neural network -based driver monitoring system for drowsiness and distraction detection},
  author = {Sara Benkouider and Nasreddine Lagraa},
  year = {2026},
  journal = {International Journal of Electrical and Computer Engineering (IJECE)},
  doi = {10.11591/ijece.v16i4.pp2220-2229},
  url = {https://doi.org/10.11591/ijece.v16i4.pp2220-2229}
}

RIS

TY  - JOUR
TI  - A convolutional neural network -based driver monitoring system for drowsiness and distraction detection
AU  - Sara Benkouider
AU  - Nasreddine Lagraa
PY  - 2026
JO  - International Journal of Electrical and Computer Engineering (IJECE)
DO  - 10.11591/ijece.v16i4.pp2220-2229
UR  - https://doi.org/10.11591/ijece.v16i4.pp2220-2229
ER  - 

APA

Benkouider, S., & Lagraa, N. (2026). A convolutional neural network -based driver monitoring system for drowsiness and distraction detection. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v16i4.pp2220-2229

Source records