Driver vigilance estimation with Bayesian LSTM Auto-encoder and XGBoost using EEG/EOG data

Zeghlache, R., Labiod, M., & Mellouk, A.

IFAC-PapersOnLine, 2022 , 55 (8) : 89-94

Abstract

Introduction

Methods

Results

Discussion

Conclusions

Acknowledgments

Citation

Zeghlache, R., Labiod, M., and Mellouk, A. (2022). Driver vigilance estimation with Bayesian LSTM Auto-encoder and XGBoost using EEG/EOG data. IFAC-PapersOnLine, 55(8), 89-94.

@article{zeghlache2022driver,
  title={Driver vigilance estimation with Bayesian LSTM Auto-encoder and XGBoost using EEG/EOG data},
  author={Zeghlache, Rachid and Labiod, Mohamed Aymen and Mellouk, Abdelhamid},
  journal={IFAC-PapersOnLine},
  volume={55},
  number={8},
  pages={89--94},
  year={2022},
  publisher={Elsevier},
}