Personalized user authentication system using wireless EEG headset and machine learning
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Published:2024-12
Issue:
Volume:2
Page:17-22
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ISSN:2949-9216
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Container-title:Brain Organoid and Systems Neuroscience Journal
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language:en
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Short-container-title:Brain Organoid and Systems Neuroscience Journal
Author:
Baraku Tron, Stergiadis ChristosORCID, Veloudis SimosORCID, Klados Manousos A.
Reference23 articles.
1. A new multi-level approach to EEG based human authentication using eye blinking;Abo-Zahhad;Pattern Recognit. Lett.,2016 2. Altahat, S., Wagner, M., Martinez Marroquin, E., 2015. Robust electroencephalogram channel set for person authentication. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2015, pp. 997–1001. doi: 10.1109/ICASSP.2015.7178119. 3. Brigham, K., Kumar, B.V.K.V., 2010. Subject identification from electroencephalogram (EEG) signals during imagined speech. In: Proceedings of the fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), Sep. 2010, pp. 1–8. doi: 10.1109/BTAS.2010.5634515. 4. Cai, D., Liu, K., Su, F., 2015. Local metric learning for EEG-based personal identification. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2015, pp. 842–846. doi: 10.1109/ICASSP.2015.7178088. 5. Chowdhury, A.M.M., Imtiaz, M.H., 2023. A machine learning approach for person authentication from EEG signals. In: Proceedings of the IEEE 32nd Microelectronics Design & Test Symposium (MDTS), May 2023, pp. 1–5. doi: 10.1109/MDTS58049.2023.10168149.
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