EEG-Driven biometric authentication for investigation of fourier synchrosqueezed transform-ICA robust framework

K Gorur, E Olmez, Z Ozer, O Cetin - Arabian Journal for Science and …, 2023 - Springer
Biometric authentication systems have recently been gaining increased attention as an
integral part of modern civic life. Security surveillance systems encompass broad categories …

Mitigating Risks in the Cloud-Based Metaverse Access Control Strategies and Techniques

U Upadhyay, A Kumar, G Sharma, AK Saini… - International Journal of …, 2024 - igi-global.com
The advent of the metaverse has revolutionized virtual interactions and navigation,
introducing intricate access control challenges. This paper addresses the need for effective …

Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI

AM Mijani, MN Cherloo, H Tang, L Zhan - Computers in Biology and …, 2023 - Elsevier
Abstract The Steady State Visual Evoked Potential (SSVEP) is a widely used component in
BCIs due to its high noise resistance and low equipment requirements. Recently, a novel …

Identification With Your Mind: A Hybrid BCI-Based Authentication Approach for Anti-Shoulder-Surfing Attacks Using EEG and Eye Movement Data

S Cheng, J Wang, D Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Biometric authentication has been applied in many domains due to the promoting
awareness of privacy and security risks. Most of the previous work has shown the …

The single-channel dry electrode SSVEP-based biometric approach: data augmentation techniques against overfitting for RNN-based deep models

K Gorur, B Eraslan - Physical and Engineering Sciences in Medicine, 2022 - Springer
Biometric studies based on electroencephalography (EEG) have received increasing
attention because each individual has a dynamic and unique pattern. However, classic EEG …

The influence of paradigm interface guided by different visual types on MI-BCI performance

J Shao, Y Bai, J Yao, Y Zhang, F Tian… - Behaviour & Information …, 2024 - Taylor & Francis
ABSTRACT Visual paradigms of Brain-Computer Interfaces (BCI) for motor imagery (MI)
tasks are the basis for communication through (electroencephalogram) EEG signals. During …

The use of happy faces as visual stimuli improves the performance of the hybrid SSVEP+ P300 brain computer interface

DD Kapgate - Journal of Neuroscience Methods, 2024 - Elsevier
Background This study illustrates a hybrid brain-computer interface (BCI) in which steady-
state visual evoked potentials (SSVEP) and event-related potentials (P300) are evoked …

Effect of inverted faces as visual stimuli on the performance of the hybrid SSVEP+ P300 brain computer interface

DD Kapgate - Brain Research, 2024 - Elsevier
Introduction This study proposes a hybrid brain-computer interface (BCI) system that
simultaneously evokes steady-state visual evoked potentials (SSVEP) and event-related …

Application of hybrid SSVEP+ P300 brain computer interface to control avatar movement in mobile virtual reality gaming environment

DD Kapgate - Behavioural Brain Research, 2024 - Elsevier
Introduction This research evaluated the feasibility of a hybrid SSVEP+ P300 brain computer
interface (BCI) for controlling the movement of an avatar in a virtual reality (VR) gaming …

The Single-Channel SSVEP-based Biometric Approach Using RNN-based Deep Models: A Systematic Comparison

K Gorur, B ERASLAN - 2022 - researchsquare.com
Biometric technology is the branch of science dealing with identification and verification of
individuals, focusing on physiological and behavioral traits. These traits can be reliable …