A novel real-time driving fatigue detection system based on wireless dry EEG

@article{Wang2018ANR,
  title={A novel real-time driving fatigue detection system based on wireless dry EEG},
  author={Hongtao Wang and Andrei Dragomir and Nida Itrat Abbasi and Junhua Li and Nitish V. Thakor and Anastasios Bezerianos},
  journal={Cognitive Neurodynamics},
  year={2018},
  volume={12},
  pages={365-376}
}
Abstract Development of techniques for detection of mental fatigue has varied applications in areas where sustaining attention is of critical importance like security and transportation. The objective of this study is to develop a novel real-time driving fatigue detection methodology based on dry Electroencephalographic (EEG) signals. The study has employed two methods in the online detection of mental fatigue: power spectrum density (PSD) and sample entropy (SE). The wavelet packets transform… Expand
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