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 networks on mobile devices has been growing rapidly, and one of the potential solutions is to employ innovative biometric authentication techniques. This article presents the development of a mobile biometric authentication system based on electroencephalogram (EEG) recordings in combination with already proven technologies such as facial detection and nearfield 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 literature, conduct several EEG measurement experiments, and discuss the procedure and results with experts in the EEG and digital signal processing (DSP) fields. On the basis of these results, we build and present a mobile prototype system capable of authenticating users based on the uniqueness of their brain waves. Furthermore, we implement a novel authentication process that will make the authentication system more secure. We also give suggestions for future improvements to the system.
I E E E Vehicular Technology Magazine, 2013, Vol 8, Issue 1, p. 81-89