Development of a Mobile EEG-based Biometric Authentication System

In recent years the need for greater security for storing personal and business data or accessing corporate net- works on mobile devices is growing rapidly, and one of the potential solutions is to employ the innovative biometric au- thentication techniques. This paper presents the development of a mobile biometric authentication system based on electro- encephalogram (EEG) recordings in combination with already proven technologies such as facial detection and near-field communication (NFC). The overall goal of this work is to fill the gap between mobile web technologies and wireless EEG devices and to develop a new authentication technique and a feasible application. Therefore, we review the relevant litera- ture, conduct several EEG measurement experiments and dis- cuss their procedure and results with experts in the EEG and digital signal processing (DSP) fields. Based on these results we build and present a mobile prototype system capable of au- thenticating users based on the uniqueness of their brainwaves. Furthermore, we implement a novel authentication process, which leads the authentication system to be more secure. We also give suggestions for future improvements of the system.