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 …

Electroencephalography (EEG) is another method for performing person identification (PI).
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …

Electroencephalogram (EEG) signal presents a great potential for highly secure biometric
systems due to its characteristics of universality, uniqueness, and natural robustness to …

Research on using electroencephalographic signals for biometric recognition has made
considerable progress and is attracting growing attention in recent years. However, the …

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 …

We present a four-objective optimization method for optimal electroencephalographic (EEG)
channel selection to provide access to subjects with permission in a system by detecting …

We present a new approach for a biometric system based on electroencephalographic
(EEG) signals of resting-state, that can identify a subject and reject intruders with a minimal …

This article investigates the use of human brainwaves for user authentication. We used data
collected from 50 volunteers and leveraged the Support Vector Machine (SVM) as a …

In the modern life, the authentication technique for any system is considered as one of the
most important and challenging tasks. Therefore, many researchers have developed …

With the advent of consumer wearables that capture brain activity, the use of brainwaves to
verify a user's identity has been proposed as a convenient alternative to passwords. While …