A New Approach in Border Security Applications with EEG Biometrics

Abstract

In recent years, either in humanitarian aid or border security acts, identifying and tracking asylum seekers or refugees has become a critical problem. In traditional biometric identification solutions used for person recognition in border security or humanitarian aid activities, biometrics like face, fingerprint or iris have usually been preferred. However, especially in illegal border crossing or asylum seeking processes, EEG signals can also be used to identify both the seekers' real intentions by emotion analysis and identities by biometric analysis. For instance, when content related to their origin are presented to subjects, their EEG response can be observed and used for person verification at border gates. In this study, authors focus on person identification by EEG biometrics first and aim to open a new discussion for further studies where hybrid solutions targeting both emotion and biometric analysis by utilizing EEG biometrics.