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 …
ReliefF-based EEG sensor selection methods for emotion recognition
Electroencephalogram (EEG) signals recorded from sensor electrodes on the scalp can
directly detect the brain dynamics in response to different emotional states. Emotion …
directly detect the brain dynamics in response to different emotional states. Emotion …
Influencing brain waves by evoked potentials as biometric approach: taking stock of the last six years of research
The scientific advances of recent years have made available to anyone affordable hardware
devices capable of doing something unthinkable until a few years ago, the reading of brain …
devices capable of doing something unthinkable until a few years ago, the reading of brain …
Improved EEG based human authentication system on large dataset
S Keshishzadeh, A Fallah… - 2016 24th Iranian …, 2016 - ieeexplore.ieee.org
The genetic traits in the Electroencephalogram (EEG), has made it a possible characteristic
for the continuous biometric human verification. It is important for a biometric characteristic to …
for the continuous biometric human verification. It is important for a biometric characteristic to …
[HTML][HTML] Personal authentication and cryptographic key generation based on electroencephalographic signals
EA Abdel-Ghaffar, M Daoudi - Journal of King Saud University-Computer …, 2023 - Elsevier
Brain signals have recently been proposed as a strong biometric due to their characteristics
such as, uniqueness, permanence, universality, and confidentiality. There are many factors …
such as, uniqueness, permanence, universality, and confidentiality. There are many factors …
Wink based facial expression classification using machine learning approach
Facial expression may establish communication between physically disabled people and
assistive devices. Different types of facial expression including eye wink, smile, eye blink …
assistive devices. Different types of facial expression including eye wink, smile, eye blink …
Fusing the spatial structure of electroencephalogram channels can increase the individualization of the functional connectivity network
M Li, J Yang, W Tian, X Ju - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
An electroencephalogram (EEG) functional connectivity (FC) network is individualized and
plays a significant role in EEG-based person identification. Traditional FC networks are …
plays a significant role in EEG-based person identification. Traditional FC networks are …
Human identification with EEG signals in different emotional states
A Vahid, E Arbabi - … on Biomedical Engineering and 2016 1st …, 2016 - ieeexplore.ieee.org
This paper investigates human identification using EEG signals. It has been shown that
Electroencephalogram (EEG) can be used as a trait for biometric systems. Previous studies …
Electroencephalogram (EEG) can be used as a trait for biometric systems. Previous studies …
Permanency analysis on human electroencephalogram signals for pervasive brain-computer interface systems
Brain-Computer Interface (BCI) systems use some permanent features of brain signals to
recognize their corresponding cognitive states with high accuracy. However, these features …
recognize their corresponding cognitive states with high accuracy. However, these features …