This is, to the best of the authors knowledge, the first complete research on the state of the
art on EEG based subject identification. As well as covering the full story of this field (from …

Despite the recent increasing interest in biometric identification using electroencephalogram
(EEG) signals, the state of the art still lacks a simple and robust model that is useful in real …

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

Objective. Although interest in using electroencephalogram (EEG) activity for subject
identification has grown in recent years, the state of the art still lacks a comprehensive …

Although more interest arising in biometric identification with electroencephalogram (EEG)
signals, there is still a lack of simple and robust models that can be applied in real …

The world is seeing the emergence of brainwave computing and its application in our daily
communication and security is on the horizon. One of the interesting areas of interaction …

Association between electroencephalography (EEG) and individually personal information
is being explored by the scientific community. Though person identification using EEG is an …

This work explores the sensitivity of electroencephalographic-based biometric recognition to
the type of tasks required by subjects to perform while their brain activity is being recorded. A …

From the viewpoint of user management, continuous authentication is effective. However,
general biometrics such as fingerprint, iris, vein, and so on are not suitable for the …

The electroencephalogram (EEG) is suitable for continuous authentication since it enables
unconscious presentation of biometric features. However, the conventional authentications …