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 …

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 …

A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG

DD Chakladar, P Kumar, PP Roy, DP Dogra… - Information …, 2021 - Elsevier
Signatures have long been considered to be one of the most accepted and practical means
of user verification, despite being vulnerable to skilled forgers. In contrast, EEG signals have …

Mindid: Person identification from brain waves through attention-based recurrent neural network

X Zhang, L Yao, SS Kanhere, Y Liu, T Gu… - Proceedings of the ACM …, 2018 - dl.acm.org
Person identification technology recognizes individuals by exploiting their unique,
measurable physiological and behavioral characteristics. However, the state-of-the-art …

BED: A new data set for EEG-based biometrics

P Arnau-González, S Katsigiannis… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Various recent research works have focused on the use of electroencephalography (EEG)
signals in the field of biometrics. However, advances in this area have somehow been …

DeepKey: A multimodal biometric authentication system via deep decoding gaits and brainwaves

X Zhang, L Yao, C Huang, T Gu, Z Yang… - ACM Transactions on …, 2020 - dl.acm.org
Biometric authentication involves various technologies to identify individuals by exploiting
their unique, measurable physiological and behavioral characteristics. However, traditional …

Person identification from EEG using various machine learning techniques with inter-hemispheric amplitude ratio

I Jayarathne, M Cohen, S Amarakeerthi - PloS one, 2020 - journals.plos.org
Association between electroencephalography (EEG) and individually personal information
is being explored by the scientific community. Though person identification using EEG is an …

EEG channel selection for person identification using binary grey wolf optimizer

ZAA Alyasseri, OA Alomari, SN Makhadmeh… - Ieee …, 2022 - ieeexplore.ieee.org
Electroencephalogram signals (EEG) have provided biometric identification systems with
great capabilities. Several studies have shown that EEG introduces unique and universal …