Human identification from brain EEG signals using advanced machine learning method EEG-based biometrics

@article{Bashar2016HumanIF,
  title={Human identification from brain EEG signals using advanced machine learning method EEG-based biometrics},
  author={Md. Khayrul Bashar and Ishio Chiaki and Hiroaki Yoshida},
  journal={2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)},
  year={2016},
  pages={475-479}
}
EEG-based human recognition is increasingly becoming a popular modality for biometric authentication. Two important features of EEG signals are liveliness and the robustness against falsification. However, a comprehensive study on human authentication using EEG signal is still remains. On the other hand, low-cost wireless EEG recording devices are now growing in the market places. Although these devices have the potential to many applications, researches have yet to be done to find the… CONTINUE READING
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