Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition

@article{Chan2018ChallengesAF,
  title={Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition},
  author={Huiling Chan and Po-Chih Kuo and Chia-Yi Cheng and Y. Chen},
  journal={Frontiers in Neuroinformatics},
  year={2018},
  volume={12}
}
The emergence of the digital world has greatly increased the number of accounts and passwords that users must remember. It has also increased the need for secure access to personal information in the cloud. Biometrics is one approach to person recognition, which can be used in identification as well as authentication. Among the various modalities that have been developed, electroencephalography (EEG)-based biometrics features unparalleled universality, distinctiveness and collectability, while… Expand
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References

SHOWING 1-10 OF 136 REFERENCES
On the Usability of Electroencephalographic Signals for Biometric Recognition: A Survey
  • S. Yang, F. Deravi
  • Computer Science
  • IEEE Transactions on Human-Machine Systems
  • 2017
  • 35
  • PDF
State-of-the-art methods and future perspectives for personal recognition based on electroencephalogram signals
  • 49
ID Proof on the Go: Development of a Mobile EEG-Based Biometric Authentication System
  • 63
Enhancement of Multi-Modal Biometric Authentication Based on IRIS and Brain Neuro Image Coding
  • 13
Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation
  • S. Marcel, J. Millán
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2007
  • 430
  • Highly Influential
  • PDF
On the Permanence of EEG Signals for Biometric Recognition
  • 78
EEG based biometric authentication using new spectral features
  • 64
  • PDF
Brain waves for automatic biometric-based user recognition
  • 164
  • PDF
Unobtrusive Biometric System Based on Electroencephalogram Analysis
  • 153
A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment
  • 18
...
1
2
3
4
5
...