Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review

GAM Vasiljevic, LC De Miranda - International Journal of Human …, 2020 - Taylor & Francis
ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …

A survey on brain biometrics

Q Gui, MV Ruiz-Blondet, S Laszlo, Z ** - 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 …

Exploring EEG-based biometrics for user identification and authentication

Q Gui, Z **, 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 …

Biometric systems utilising health data from wearable devices: applications and future challenges in computer security

S Khan, S Parkinson, L Grant, N Liu… - ACM Computing Surveys …, 2020 - dl.acm.org
Health data are being increasingly sensed from the health-based wearable Internet of
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …

Representation learning and pattern recognition in cognitive biometrics: a survey

M Wang, X Yin, Y Zhu, J Hu - Sensors, 2022 - mdpi.com
Cognitive biometrics is an emerging branch of biometric technology. Recent research has
demonstrated great potential for using cognitive biometrics in versatile applications …

LR-BA: Backdoor attack against vertical federated learning using local latent representations

Y Gu, Y Bai - Computers & Security, 2023 - Elsevier
In vertical federated learning (VFL), multiple participants can collaborate in training a model
with distributed data features and labels managed by one of them. The cooperation provides …

Combining cryptography with EEG biometrics

R Damaševičius, R Maskeliūnas… - Computational …, 2018 - Wiley Online Library
Cryptographic frameworks depend on key sharing for ensuring security of data. While the
keys in cryptographic frameworks must be correctly reproducible and not unequivocally …

State‐of‐the‐art methods and future perspectives for personal recognition based on electroencephalogram signals

M Abo‐Zahhad, SM Ahmed, SN Abbas - IET Biometrics, 2015 - Wiley Online Library
In the past decade, biomedical instrumentations have witnessed major developments and
now it is very easy to measure human biomedical electrical signals. One of these signals is …