A survey on brain biometrics
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 …
the domain of cognitive neuroscience, have recently been proposed as a promising …
Brain functional and effective connectivity based on electroencephalography recordings: A review
Functional connectivity and effective connectivity of the human brain, representing statistical
dependence and directed information flow between cortical regions, significantly contribute …
dependence and directed information flow between cortical regions, significantly contribute …
Affective EEG-based person identification using the deep learning approach
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 …
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 …
population neuroscience. The considerable diversity in personality traits and behaviour …
Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics
The human brain continually generates electrical potentials representing neural
communication. These potentials can be measured at the scalp, and constitute the …
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
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 …
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
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 …
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
Lately, electroencephalography (EEG)-based auth-entication has received considerable
attention from the scientific community. However, the limited usability of wet EEG electrodes …
attention from the scientific community. However, the limited usability of wet EEG electrodes …
BrainPrint: EEG biometric identification based on analyzing brain connectivity graphs
Research on brain biometrics using electroencephalographic (EEG) signals has received
increasing attentions in recent years. In particular, it has been recognized that the brain …
increasing attentions in recent years. In particular, it has been recognized that the brain …
Augmenting the size of EEG datasets using generative adversarial networks
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 …
Computer Interfaces (BCIs) due to its rich time-domain resolution and the availability of …