File(s) under permanent embargo
Multi-factor EEG-based user authentication
conference contribution
posted on 2014-01-01, 00:00 authored by Pham Tien, Wanli Ma, Tran Dat, Phuoc NguyenPhuoc Nguyen, Phung DinhElectroencephalography (EEG) signal has been used widely in health and medical fields. It is also used in brain-computer interface (BCI) systems for humans to continuously control mobile robots and wheelchairs. Recently, the research communities successfully explore the potential of using EEG as a new type of biometrics in user authentication. EEG-based user authentication systems have the combined advantages of both password-based and biometric-based authentication systems, yet without their drawbacks. In this paper, we propose to take the advantage of rich information, such as age and gender, carried by EEG signals for user authentication in multi-level security systems. Our experiments showed very promising results for the proposed multi-factor EEG-based authentication method.
History
Event
IEEE Computational Intelligence Society. Conference (2014 : Beijing, China)Series
IEEE Computational Intelligence Society ConferencePagination
4029 - 4034Publisher
Institute of Electrical and Electronics EngineersLocation
Beijing, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2014-07-06End date
2014-07-11ISSN
2161-4393Language
EnglishPublication classification
E1.1 Full written paper - refereedCopyright notice
2014, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural NetworksUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC