A review of EEG-based user authentication: trends and future research directions

CA Fidas, D Lyras - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, the use of Electroencephalography (EEG) in scientific research on User
Authentication (UA) has led to cutting-edge experiments that seek to identify and …

Accelerating reinforcement learning using eeg-based implicit human feedback

D Xu, M Agarwal, E Gupta, F Fekri, R Sivakumar - Neurocomputing, 2021 - Elsevier
Abstract Providing Reinforcement Learning (RL) agents with human feedback can
dramatically improve various aspects of learning. However, previous methods require …

[HTML][HTML] NeuroIDBench: An open-source benchmark framework for the standardization of methodology in brainwave-based authentication research

AK Chaurasia, M Fallahi, T Strufe, P Terhörst… - Journal of Information …, 2024 - Elsevier
Biometric systems based on brain activity have been proposed as an alternative to
passwords or to complement current authentication techniques. By leveraging the unique …

EEG authentication system based on one-and multi-class machine learning classifiers

L Hernández-Álvarez, E Barbierato, S Caputo… - Sensors, 2022 - mdpi.com
In the current Information Age, it is usual to access our personal and professional
information, such as bank account data or private documents, in a telematic manner. To …

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 Catcher in the Eye: Recognizing Users by their Blinks

R Iijima, T Takehisa, T Ohki, T Mori - Proceedings of the 19th ACM Asia …, 2024 - dl.acm.org
In this paper, we develop a novel behavioral biometric recognition framework, BlinkAuth,
that takes advantage of a user's blinking. BlinkAuth utilizes electrooculogram (EOG) data,(ie …

Accelerating reinforcement learning agent with eeg-based implicit human feedback

D Xu, M Agarwal, E Gupta, F Fekri… - arXiv preprint arXiv …, 2020 - arxiv.org
Providing Reinforcement Learning (RL) agents with human feedback can dramatically
improve various aspects of learning. However, previous methods require human observer to …

Wisdom of the crowd: Using multi-human few-shot learning to improve cross-user generalization for error potentials in bci systems

E Gupta, R Sivakumar - 2022 International Joint Conference on …, 2022 - ieeexplore.ieee.org
Brain-computer interfaces (BCI) have surfaced as a powerful and attractive modality in
human-machine interaction. BCIs establish a firsthand communication channel between a …

Hyper-accelerated learning for brain-computer interfaces via partial target-aware optimal transport

E Gupta, CY Chen, R Sivakumar - Proceedings of the 2nd Workshop on …, 2023 - dl.acm.org
Brain-computer interfaces (BCIs) have surfaced as a powerful modality in human-machine
interaction and wearable technology with powered futuristic applications like virtual reality …

NeuroBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research

AK Chaurasia, M Fallahi, T Strufe, P Terhörst… - arXiv preprint arXiv …, 2024 - arxiv.org
Biometric systems based on brain activity have been proposed as an alternative to
passwords or to complement current authentication techniques. By leveraging the unique …