Accuracy-latency trade-offs and absent embedded validation in deep learning driver drowsiness detection: a PRISMA systematic review.

Salas Yupanqui CW, Llanque Tipo CE, Choquehuanca Huayhua FD, Condori-Coaquira AR, Mamani-Pari D, Humpiri-Flores ME, Tocto-Cano E

Open source

DOI
10.3389/frai.2026.1871926
Published
2026
Container
Frontiers in artificial intelligence
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/frai.2026.1871926,
  title = {Accuracy-latency trade-offs and absent embedded validation in deep learning driver drowsiness detection: a PRISMA systematic review.},
  author = {Salas Yupanqui CW and Llanque Tipo CE and Choquehuanca Huayhua FD and Condori-Coaquira AR and Mamani-Pari D and Humpiri-Flores ME and Tocto-Cano E},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1871926},
  url = {https://doi.org/10.3389/frai.2026.1871926}
}

RIS

TY  - JOUR
TI  - Accuracy-latency trade-offs and absent embedded validation in deep learning driver drowsiness detection: a PRISMA systematic review.
AU  - Salas Yupanqui CW
AU  - Llanque Tipo CE
AU  - Choquehuanca Huayhua FD
AU  - Condori-Coaquira AR
AU  - Mamani-Pari D
AU  - Humpiri-Flores ME
AU  - Tocto-Cano E
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1871926
UR  - https://doi.org/10.3389/frai.2026.1871926
ER  - 

APA

CW, S. Y., CE, L. T., FD, C. H., AR, C., D, M., ME, H., & E, T. (2026). Accuracy-latency trade-offs and absent embedded validation in deep learning driver drowsiness detection: a PRISMA systematic review.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1871926

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