A real-time driver identification system based on artificial neural networks and cepstral analysis

@article{Campo2014ARD,
  title={A real-time driver identification system based on artificial neural networks and cepstral analysis},
  author={In{\'e}s del Campo and Raul Finker and M. Victoria Mart{\'i}nez and Javier Echanobe and Faiyaz Doctor},
  journal={2014 International Joint Conference on Neural Networks (IJCNN)},
  year={2014},
  pages={1848-1855}
}
The availability of advanced driver assistance systems (ADAS), for safety and well-being, is becoming increasingly important for avoiding traffic accidents caused by fatigue, stress, or distractions. For this reason, automatic identification of a driver from among a group of various drivers (i.e. real-time driver identification) is a key factor in the… CONTINUE READING