Klonovs, Juris3; Petersen, Christoffer Kjeldgaard5; Olesen, Henning6; Hammershøj, Allan Dyhr9
1 Department of Mechanical and Manufacturing Engineering, The Faculty of Engineering and Science, Aalborg University, VBN2 The Faculty of Engineering and Science (TECH), Aalborg University, VBN3 Robotics, Vision and Machine Intelligence (RVMI), The Faculty of Engineering and Science, Aalborg University, VBN4 Robotics and Automation, The Faculty of Engineering and Science, Aalborg University, VBN5 Department of Architecture, Design and Media Technology, The Technical Faculty of IT and Design, Aalborg University, VBN6 Aalborg University Copenhagen, The Faculty of Humanities, Aalborg University, VBN7 Center for Communication, Media and Information Technologies, The Technical Faculty of IT and Design, Aalborg University, VBN8 Department of Electronic Systems, The Technical Faculty of IT and Design, Aalborg University, VBN9 Department of Informatics and Mathematical Modeling
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