Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …
through the utilization of brain waves. It is worth noting that the application of BCI is not …
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 …
which are the results of synaptic activations of the brain's neurons. In recent years, it has …
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 …
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 …
growing appeal, there are still various challenges to their practical use, such as lack of …
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 …
EEG temporal–spatial transformer for person identification
An increasing number of studies have been devoted to electroencephalogram (EEG) identity
recognition since EEG signals are not easily stolen. Most of the existing studies on EEG …
recognition since EEG signals are not easily stolen. Most of the existing studies on EEG …
[PDF][PDF] Brain Fingerprinting: The New Era of Truth and Lie Detection
Abstract Brain Electrical Oscillation Signature Profiling (BEOSP), also referred to as Brain
fingerprinting developed by Dr. Farwell in 1991, is a neuro-psychological method used for …
fingerprinting developed by Dr. Farwell in 1991, is a neuro-psychological method used for …
Multimodal EEG and keystroke dynamics based biometric system using machine learning algorithms
Electroencephalography (EEG) based biometric systems are gaining attention for their anti-
spoofing capability but lack accuracy due to signal variability at different psychological and …
spoofing capability but lack accuracy due to signal variability at different psychological and …
Classification of emotions using EEG activity associated with different areas of the brain
It is important that interactive Affective Brain-Computer Interface (aBCI) applications support
some degree of emotional intelligence. Many of the previous works that have explored the …
some degree of emotional intelligence. Many of the previous works that have explored the …
Challenges and future perspectives on electroencephalogram-based biometrics in person recognition
The emergence of the digital world has greatly increased the number of accounts and
passwords that users must remember. It has also increased the need for secure access to …
passwords that users must remember. It has also increased the need for secure access to …