Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System

Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System

Despite the growing interest in the use of electroencephalogram (EEG) signals as a potential biometric for subject identification and the recent advances in the use of deep learning (DL) models to study neurological signals, such as electrocardiogram (ECG), electroencephalogram (EEG), electroretinog...

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Bibliographic Details
Main Authors: Mohamed Benomar, Steven Cao, Manoj Vishwanath, Khuong Vo, Hung Cao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
EEG
biometrics
deep learning
Raspberry Pi
Online Access:https://www.mdpi.com/1424-8220/22/23/9547

Internet

https://www.mdpi.com/1424-8220/22/23/9547

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