User identification and verification based on auditory evoked potentials using CNN
In recent years, researchers have focused on the biometric applications of bioelectrical signals, particularly electroencephalograms (EEG), to enhance information security. Using EEG as a biometric offers advantages that cannot be forgotten or forged. One approach to utilizing EEG signals for biomet...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer Nature
2025
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/44610/1/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/44610/ https://doi.org/10.1007/s00034-024-02862-4 |
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