An evaluation of transfer learning models in EEG-based authentication
Abstract Electroencephalogram(EEG)-based authentication has received increasing attention from researchers as they believe it could serve as an alternative to more conventional personal authentication methods. Unfortunately, EEG signals are non-stationary and could be easily contaminated by noise an...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2023-08-01
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Series: | Brain Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40708-023-00198-4 |