In-Ear EEG Biometrics for Feasible and Readily Collectable Real-World Person Authentication

Author:

Nakamura TakashiORCID,Goverdovsky Valentin,Mandic Danilo P.ORCID

Funder

Rosetrees Trust

EPSRC Pathways to Impact

Multidisciplinary University Research Initiative/EPSRC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 66 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. KEP: Keystroke Evoked Potential for EEG-Based User Authentication;Artificial Intelligence Security and Privacy;2024

2. Cross-domain Feature Distillation Framework for Enhancing Classification in Ear-EEG Brain-Computer Interfaces;Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing;2023-10-08

3. The future of wearable EEG: a review of ear-EEG technology and its applications;Journal of Neural Engineering;2023-10-01

4. Advances in Electrode Materials for Scalp, Forehead, and Ear EEG: A Mini-Review;ACS Applied Bio Materials;2023-07-26

5. EarAcE;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2023-06-12

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