A survey on methods and challenges in EEG based authentication

AJ Bidgoly, HJ Bidgoly, Z Arezoumand - Computers & Security, 2020 - Elsevier
EEG is the recording of electrical activities of the brain, usually along the scalp surface,
which are the results of synaptic activations of the brain's neurons. In recent years, it has …

[HTML][HTML] Towards a universal and privacy preserving EEG-based authentication system

AJ Bidgoly, HJ Bidgoly, Z Arezoumand - Scientific Reports, 2022 - nature.com
EEG-based authentication has gained much interest in recent years. However, despite its
growing appeal, there are still various challenges to their practical use, such as lack of …

State‐of‐the‐art methods and future perspectives for personal recognition based on electroencephalogram signals

M Abo‐Zahhad, SM Ahmed, SN Abbas - IET Biometrics, 2015 - Wiley Online Library
In the past decade, biomedical instrumentations have witnessed major developments and
now it is very easy to measure human biomedical electrical signals. One of these signals is …

Review on EEG‐Based Authentication Technology

S Zhang, L Sun, X Mao, C Hu… - Computational intelligence …, 2021 - Wiley Online Library
With the rapid development of brain‐computer interface technology, as a new biometric
feature, EEG signal has been widely concerned in recent years. The safety of brain …

Low-cost electroencephalogram (EEG) based authentication

C Ashby, A Bhatia, F Tenore… - 2011 5th International …, 2011 - ieeexplore.ieee.org
A low-cost, consumer-grade, EEG-based individual authentication system is proposed in this
work. While EEG signals are recorded, the subject performs four mental imagery tasks …

Deep learning for EEG-based biometric recognition

E Maiorana - Neurocomputing, 2020 - Elsevier
The exploitation of brain signals for biometric recognition purposes has received significant
attention from the scientific community in the last decade, with most of the efforts so far …

Exploring EEG-based biometrics for user identification and authentication

Q Gui, Z Jin, W Xu - 2014 IEEE Signal Processing in Medicine …, 2014 - ieeexplore.ieee.org
As human brain activities, represented by EEG brainwave signals, are more confidential,
sensitive, and hard to steal and replicate, they hold great promise to provide a far more …

In-ear EEG biometrics for feasible and readily collectable real-world person authentication

T Nakamura, V Goverdovsky… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The use of electroencephalogram (EEG) as a biometrics modality has been investigated for
about a decade; however, its feasibility in real-world applications is not yet conclusively …

BrainID: Development of an EEG-based biometric authentication system

I Jayarathne, M Cohen… - 2016 IEEE 7th Annual …, 2016 - ieeexplore.ieee.org
Authentication is a crucial consideration when securing data or any kind of information
system. Though existing approaches for authentication are user-friendly, they have …

[HTML][HTML] EEG-based single-channel authentication systems with optimum electrode placement for different mental activities

M Zeynali, H Seyedarabi - biomedical journal, 2019 - Elsevier
Background Electroencephalogram (EEG) signals of a brain contain a unique pattern for
each person and the potential for biometric applications. Authentication and security is a …