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 …

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 …

Electroencephalogram (EEG)-based biometrics have attracted increasing attention in recent
years. A few studies have used visual evoked potentials (VEPs) in EEG biometrics due to …

With the majority of brain–computer interface (BCI) research currently restricted to the
controlled settings in labs, there is a growing interest to study the feasibility of BCI …

Electroencephalograph (EEG) based biometric identification has recently gained increased
attention of researchers. However, state-of-the-art EEG-based biometric identification …

Electroencephalogram (EEG) authentication has become a research hotspot in the field of
information security due to its advantages of living, internal, and anti-stress. However, the …

In recent years, electroencephalography (EEG) has received increasing attention in the field
of biometrics because of its unique advantages such as covertness, resistance to spoofing …

Modern biometric identification methods combine interdisciplinary approaches to enhance
person identification and classification accuracy. One popular technique for this purpose is …

This study investigates the capability of electroencephalogram (EEG) signals to be used for
biometric identification. In the context of biometric, recently, researchers have been focusing …

We analyze the current state of research on EEG-based biometrics, giving an overview of
the equipment available, together with practical guidance on the design of EEG-based …