Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review
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 …
control computer applications using their brain waves. With the advent of consumer-grade …
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 …
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 …
Exploring EEG-based biometrics for user identification and authentication
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 …
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 …
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
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 …
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …
Representation learning and pattern recognition in cognitive biometrics: a survey
Cognitive biometrics is an emerging branch of biometric technology. Recent research has
demonstrated great potential for using cognitive biometrics in versatile applications …
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 …
with distributed data features and labels managed by one of them. The cooperation provides …
Combining cryptography with EEG biometrics
Cryptographic frameworks depend on key sharing for ensuring security of data. While the
keys in cryptographic frameworks must be correctly reproducible and not unequivocally …
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
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 …
now it is very easy to measure human biomedical electrical signals. One of these signals is …