Title :
A study on the stability of EEG signals for user authentication
Author :
Tien Pham ; Wanli Ma ; Dat Tran ; Duc Su Tran ; Dinh Phung
Author_Institution :
Fac. of Educ., Sci., Technol. & Mathimatics, Univ. of Canberra, Canberra, ACT, Australia
Abstract :
Electroencephalography (EEG) has been recently used as a new type of biometrics in user authentication with the advantages of being difficult to fake, impossible to observe or intercept, unique, and requiring alive person to record. However, understanding of the stability of brain responses to EEG-based authentication system while EEG is known to be sensitive to emotions is still a challenge that is addressed in this paper. Our experimental results and the related neurophysiological evidences show that some emotions should be considered to mitigate the impact of EEG signal changes on the EEG-based user authentication system in real-world applications.
Keywords :
bioelectric potentials; electroencephalography; medical signal processing; neurophysiology; EEG signal stability; EEG-based user authentication system; biometrics; brain; electroencephalography; neurophysiological evidences; Authentication; Biometrics (access control); Brain modeling; Electroencephalography; Feature extraction; Stress; Testing;
Conference_Titel :
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location :
Montpellier
DOI :
10.1109/NER.2015.7146575