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 …
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 …
Internet of Things meets brain–computer interface: A unified deep learning framework for enabling human-thing cognitive interactivity
A brain–computer interface (BCI) acquires brain signals, analyzes, and translates them into
commands that are relayed to actuation devices for carrying out desired actions. With the …
commands that are relayed to actuation devices for carrying out desired actions. With the …
Electrocardiogram signals-based user authentication systems using soft computing techniques
M Hosseinzadeh, B Vo, MY Ghafour… - Artificial Intelligence …, 2021 - Springer
With the advent of various security attacks, biometric authentication methods are gaining
momentum in the security literature. Electrocardiogram or ECG signals are one of the …
momentum in the security literature. Electrocardiogram or ECG signals are one of the …
A personalized user authentication system based on EEG signals
C Stergiadis, VD Kostaridou, S Veloudis, D Kazis… - Sensors, 2022 - mdpi.com
Conventional biometrics have been employed in high-security user-authentication systems
for over 20 years now. However, some of these modalities face low-security issues in …
for over 20 years now. However, some of these modalities face low-security issues in …
Efficient eeg mobile edge computing and optimal resource allocation for smart health applications
In the past few years, a rapid increase in the number of patients requiring constant
monitoring, which inspires researchers to develop intelligent and sustainable remote smart …
monitoring, which inspires researchers to develop intelligent and sustainable remote smart …
EEG compression using motion compensated temporal filtering and wavelet based subband coding
Electroencephalography (EEG) signals are commonly used in medical applications for
prevention, diagnosis, and detection of neurological diseases. These EEG signals have also …
prevention, diagnosis, and detection of neurological diseases. These EEG signals have also …
A two‐layer attack‐robust protocol for IoT healthcare security: Two‐stage identification‐authentication protocol for IoT
S Afsaneh, A Sepideh, M Ali, AM Salah - IET Communications, 2021 - Wiley Online Library
The majority of studies in the field of developing identification and authentication protocols
for Internet of Things (IoT) used cryptographic algorithms. Using brain signals is also a …
for Internet of Things (IoT) used cryptographic algorithms. Using brain signals is also a …
Providing facilities in health care via brain-computer interface and Internet of Things
M Ullah, A Hekmatmanesh… - 2020 43rd …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) technologies are steadily growing. Millions of devices are now
connected to each other and the internet; they communicate and share data. Another …
connected to each other and the internet; they communicate and share data. Another …