Enhancing security in brain–computer interface applications with deep learning: Electroencephalogram-based user identification-Reference-Cited by-同舟云学术

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Enhancing security in brain–computer interface applications with deep learning: Electroencephalogram-based user identification

Published:2024-11 Issue: Volume:253 Page:124218
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Seyfizadeh Ali^ORCID,Peach Robert L.^ORCID,Tovote Philip^ORCID,Isaias Ioannis U.^ORCID,Volkmann Jens^ORCID,Muthuraman Muthuraman^ORCID

Funder

Deutsche Forschungsgemeinschaft

DAAD

Publisher

Elsevier BV

Reference35 articles.

1. EEG electrode selection for person identification thru a genetic-algorithm method;Albasri;Journal of Medical Systems,2019

2. EEG-based person identification and authentication using deep convolutional neural network;Alsumari;Axioms,2023

3. Person identification using EEG channel selection with hybrid flower pollination algorithm;Alyasseri;Pattern Recognition,2020

4. A multimodal-siamese neural network (mSNN) for person verification using signatures and EEG;Chakladar;Information Fusion,2021

5. EEG-based biometric identification with convolutional neural network;Chen;Multimedia Tools and Applications,2020

Cited by 1 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. Cryptographic Algorithm Designed by Extracting Brainwave Patterns;Mathematics;2024-06-25

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