[HTML][HTML] Brain computer interfacing: Applications and challenges

SN Abdulkader, A Atia, MSM Mostafa - Egyptian Informatics Journal, 2015 - Elsevier
Brain computer interface technology represents a highly growing field of research with
application systems. Its contributions in medical fields range from prevention to neuronal …

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 …

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 …

A comprehensive assessment of Brain Computer Interfaces: Recent trends and challenges

D Yadav, S Yadav, K Veer - Journal of Neuroscience Methods, 2020 - Elsevier
Background An uninterrupted channel of communication and control between the human
brain and electronic processing units has led to an increased use of Brain Computer …

Subject identification from electroencephalogram (EEG) signals during imagined speech

K Brigham, BVKV Kumar - 2010 Fourth IEEE International …, 2010 - ieeexplore.ieee.org
We investigate the potential of using electrical brainwave signals during imagined speech to
identify which subject the signals originated from. Electroencephalogram (EEG) signals …

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 …

On the usability of electroencephalographic signals for biometric recognition: A survey

S Yang, F Deravi - IEEE Transactions on Human-Machine …, 2017 - ieeexplore.ieee.org
Research on using electroencephalographic signals for biometric recognition has made
considerable progress and is attracting growing attention in recent years. However, the …

Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals

M Aljalal, S Ibrahim, R Djemal, W Ko - Intelligent service robotics, 2020 - Springer
There is a significant progress in the development of brain-controlled mobile robots and
robotic arms in the recent years. New advances in electroencephalography (EEG) …

Biometric authentication based on PCG and ECG signals: present status and future directions

M Abo-Zahhad, SM Ahmed, SN Abbas - Signal, Image and Video …, 2014 - Springer
Due to the great advances in biomedical digital signal processing, new biometric traits have
showed noticeable improvements in authentication systems. Recently, the …

A novel framework of EEG-based user identification by analyzing music-listening behavior

B Kaur, D Singh, PP Roy - Multimedia tools and applications, 2017 - Springer
This paper introduces a novel framework for user identification by analyzing neuro-signals.
Studies regarding Electroencephalography (EEG) revealed that such bio-signals are …