A survey on brain biometrics

Q Gui, MV Ruiz-Blondet, S Laszlo, Z Jin - ACM Computing Surveys …, 2019 - dl.acm.org
Brainwaves, which reflect brain electrical activity and have been studied for a long time in
the domain of cognitive neuroscience, have recently been proposed as a promising …

Brain functional and effective connectivity based on electroencephalography recordings: A review

J Cao, Y Zhao, X Shan, H Wei, Y Guo… - Human brain …, 2022 - Wiley Online Library
Functional connectivity and effective connectivity of the human brain, representing statistical
dependence and directed information flow between cortical regions, significantly contribute …

Affective EEG-based person identification using the deep learning approach

T Wilaiprasitporn, A Ditthapron… - … on Cognitive and …, 2019 - ieeexplore.ieee.org
Electroencephalography (EEG) is another method for performing person identification (PI).
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …

Brief segments of neurophysiological activity enable individual differentiation

J da Silva Castanheira, HD Orozco Perez… - Nature …, 2021 - nature.com
Large, openly available datasets and current analytic tools promise the emergence of
population neuroscience. The considerable diversity in personality traits and behaviour …

Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics

BC Armstrong, MV Ruiz-Blondet, N Khalifian, KJ Kurtz… - Neurocomputing, 2015 - Elsevier
The human brain continually generates electrical potentials representing neural
communication. These potentials can be measured at the scalp, and constitute the …

CEREBRE: A novel method for very high accuracy event-related potential biometric identification

MV Ruiz-Blondet, Z Jin, S Laszlo - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The vast majority of existing work on brain biometrics has been conducted on the ongoing
electroencephalogram. Here, we argue that the averaged event-related potential (ERP) may …

Convolutional neural networks using dynamic functional connectivity for EEG-based person identification in diverse human states

M Wang, H El-Fiqi, J Hu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Highly secure access control requires Swiss-cheese-type multi-layer security protocols. The
use of electroencephalogram (EEG) to provide cognitive indicators for human workload and …

A high-security EEG-based login system with RSVP stimuli and dry electrodes

Y Chen, AD Atnafu, I Schlattner… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Lately, electroencephalography (EEG)-based auth-entication has received considerable
attention from the scientific community. However, the limited usability of wet EEG electrodes …

BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs

M Wang, J Hu, HA Abbass - Pattern Recognition, 2020 - Elsevier
Research on brain biometrics using electroencephalographic (EEG) signals has received
increasing attentions in recent years. In particular, it has been recognized that the brain …

Augmenting the size of EEG datasets using generative adversarial networks

SM Abdelfattah, GM Abdelrahman… - 2018 International joint …, 2018 - ieeexplore.ieee.org
Electroencephalography (EEG) is one of the most promising methods in the field of Brain-
Computer Interfaces (BCIs) due to its rich time-domain resolution and the availability of …