Drowsiness Detection System Based on PERCLOS and Facial Physiological Signal.

Chang RC, Wang CY, Chen WT, Chiu CD

Open source

DOI
10.3390/s22145380
Published
2022 Jul 19
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.3390/s22145380,
  title = {Drowsiness Detection System Based on PERCLOS and Facial Physiological Signal.},
  author = {Chang RC and Wang CY and Chen WT and Chiu CD},
  year = {2022},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s22145380},
  url = {https://doi.org/10.3390/s22145380}
}

RIS

TY  - JOUR
TI  - Drowsiness Detection System Based on PERCLOS and Facial Physiological Signal.
AU  - Chang RC
AU  - Wang CY
AU  - Chen WT
AU  - Chiu CD
PY  - 2022
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s22145380
UR  - https://doi.org/10.3390/s22145380
ER  - 

APA

RC, C., CY, W., WT, C., & CD, C. (2022). Drowsiness Detection System Based on PERCLOS and Facial Physiological Signal.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22145380

Source records