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Brain–Computer Interface for EEG-Based Authentication: Advancements and Practical Implications

Authentication is a critical component of digital security, and traditional methods often encounter significant vulnerabilities and limitations. This study addresses the emerging field of EEG-based authentication systems, highlighting their theoretical advancements and practical applicability. We co...

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Main Authors: Lamia Alahaideb, Abeer Al-Nafjan, Hessah Aljumah, Mashael Aldayel
Format: Artigo
Language:Inglês
Published: MDPI AG 2025-08-01
Series:Sensors
Subjects:
electroencephalography (EEG)
brain–computer interface (BCI)
authentication
event-related potentials (ERP)
convolutional neural networks (CNN)
Online Access:https://www.mdpi.com/1424-8220/25/16/4946
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