Research Trends Of EEG Biometrics: A Bibliometric Analysis

Abstract

Biometric technology is gaining recognition as an important asset for development. While conventional biometric methods have mainly focused on identity verification, EEG person recognition methods present exciting avenues for research. The purpose of this paper is to explore existing EEG biometric techniques that utilize machine learning and Deep Learning approaches, while also suggesting potential directions for future research. This document offers a thorough overview of EEG biometrics, concentrating on the process of authenticating individuals using electroencephalogram (EEG) signals. The study is framed around several key research questions aimed at gaining a better understanding of the present state of EEG-based biometric systems. All in all, this document acts as an essential resource for both researchers and practitioners interested in EEG biometrics, providing insights into current techniques, existing challenges, and prospective future developments in the field.