MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network

@article{Zhang2018MindIDPI,
  title={MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network},
  author={X. Zhang and Lina Yao and S. Kanhere and Yunhao Liu and Tao Gu and Kaixuan Chen},
  journal={Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.},
  year={2018},
  volume={2},
  pages={149:1-149:23}
}
Person identification technology recognizes individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, the state-of-the-art person identification systems have been shown to be vulnerable, e.g., contact lenses can trick iris recognition and fingerprint films can deceive fingerprint sensors. EEG (Electroencephalography)-based identification, which utilizes the users brainwave signals for identification and offers a more resilient solution, draw a lot… Expand
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