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 …

Challenges and future perspectives on electroencephalogram-based biometrics in person recognition

HL Chan, PC Kuo, CY Cheng, YS Chen - Frontiers in neuroinformatics, 2018 - frontiersin.org
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 …

Brain waves for automatic biometric-based user recognition

P Campisi, D La Rocca - IEEE transactions on information …, 2014 - ieeexplore.ieee.org
Brain signals have been investigated within the medical field for more than a century to
study brain diseases like epilepsy, spinal cord injuries, Alzheimer's, Parkinson's …

Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation

S Marcel, JR Millán - IEEE transactions on pattern analysis and …, 2007 - ieeexplore.ieee.org
In this paper, we investigate the use of brain activity for person authentication. It has been
shown in previous studies that the brain-wave pattern of every individual is unique and that …

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 …

Biometrics from brain electrical activity: A machine learning approach

R Palaniappan, DP Mandic - IEEE transactions on pattern …, 2007 - ieeexplore.ieee.org
The potential of brain electrical activity generated as a response to a visual stimulus is
examined in the context of the identification of individuals. Specifically, a framework for the …

SUNMAP: a tool for automatic topology selection and generation for NoCs

S Murali, G De Micheli - Proceedings of the 41st annual Design …, 2004 - dl.acm.org
Increasing communication demands of processor and memory cores in Systems on Chips
(SoCs) necessitate the use of Networks on Chip (NoC) to interconnect the cores. An …

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 …

Review on EEG‐Based Authentication Technology

S Zhang, L Sun, X Mao, C Hu… - Computational intelligence …, 2021 - Wiley Online Library
With the rapid development of brain‐computer interface technology, as a new biometric
feature, EEG signal has been widely concerned in recent years. The safety of brain …