Biosignals for user authentication - Towards cognitive biometrics?

Proceedings - EST 2010 - 2010 International Conference on Emerging Security Technologies, ROBOSEC 2010 - Robots and Security, LAB-RS 2010 - Learning and Adaptive Behavior in Robotic Systems

Volumn , Issue , 2010, Pages 71-76

  Revett, Kenneth ^a   Deravi, Farzin ^b   Sirlantzis, Konstantinos ^b  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

^b UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Cognitive biometrics; ECG; EDR; EEG; Endophenotype

Indexed keywords

COGNITIVE BIOMETRICS; ECG; EDR; EEG; ENDOPHENOTYPE;

AUTHENTICATION; BIOMETRICS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION; OPTICAL SENSORS; ROBOTICS; ROBOTS;

COGNITIVE SYSTEMS;

EID: 78649428575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EST.2010.32     Document Type: Conference Paper

References (19)

1. Forsen, G., Nelson, M. & Staron, R., Personal attributes authentication techniques, In A.F.B. Griffin, Ed. Rome Air Development Center report RADC-TR-77-1033, RADC, New York, 1977.
2. Waller AD, A demonstration on man of electromotive changes accompanying the heart's beat. J Physiol (Lond) 8: 229-34, 1887.
3. Silva,H., Gamboa,H., & Fred,A., Applicability of lead V2 ECG Measurements in Biometrics, Proceedings of Mede- Tel 2007, Luxembourg, April 2007
4. Israel, S., Irvine, J., Cheng, A., Wiederhold, M., & Wiederhold, B., ECG to identify individuals, Pattern Recognition, 38(1), pp. 133- 142, 2005.
5. Biel, L., Petterson, O., & Stork, D., ECG analysis: a new approach in human identifiaction, IEE Transactions on Instrumentation and Measurement, 50(3), pp. 808-812, 2001.
6. Kyoso, M. & Uchiyama, A., Development of an ECG identifcation system, in Proceedings of the 23rd Annual International IEEE Conference on Engineering in Medicine and Biology Society, Instanbul, Turkey, pp. 3721-3723, 2001
7. Kyeong-Seop, K., Tae-Ho, Y., Jeong-Whan, L., Dong-Jun, K., & Heung-Seo, K., A Robust Human Identification by Normalized Time-Domain Features of Electrocardiogram, IEEE EMBS 27th Annual Uinternational Conference of Engineering in Medicine and Biology (EMBS2005), pp. 1114-1117, 2005.
8. Mehta, S. S. & Lingayat, N. S., Comparative study of QRS detection in single lead and 12-lead ECG based on entropy and combined entropy criteria using support vector machine, Journal of Theoretical and Applied Information Technology, pp. 8-18, 2007.
9. Smit, D.J.A., Posthuma, D., Boomsma, D.I., & De Gues, E.J.C., Heritability of background EEG across the power spectrum, Psychophysiology 42, pp. 691-697, 2005.
10. Zietsch, B.P., Hansen, J.L., ansell, N.K., Geffen, G.M., Martin, N.G., & Wright, M.J., Common and specific genetic influences on EEG power bands delta, theta, alpha, and beta, Biological Psychology 75, pp. 154-164, 2007.
11. Palaniappan, R. & Mandic, D.O., EEG based biometric framework for automatic identity verification, Journal of VLSI Signal processing, 49: pp. 243-250, 2007.
12. .Mohammadi, G., Shousttari, P., Ardekani, B.M., & Shamsolhani, M.B., Person identification by using AR model for EEG signals, Proceedings of WASET, 11: pp. 281-285, 2006.
13. Sutton, S., Braren, M., Zubin, J., & John, E.R., Evoked-potentials correlates of stimulus uncertainty, Science 150, pp. 1187-8, 1965.
14. Thorpe, J., van Oorschot, P.C., & Somayaji, A., Pass-thoughts: authenticating with our minds, Proceedings of the 2005 workshop on new security paradigms, pp. 45-56, 2005.
15. Paranjape, R.B.; Mahovsky, J.; Benedicenti, L.; Kolesapos;, Z.,The lectroencephalogram as a biometric, Canadian Conference on Electrical and Computer Engineering, pp.1363 - 1366, 2001.
16. Polous, M., Rangoussi, M., & Alexandris, N, Neural network based person identification using EEG features, In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal processing, 2, pp. 1117-1120, 1999.
17. Riera, A., Soria-Frisch, A., Caparrini, M., Grau, C., & Ruffini, G., Unobtrusive biometric system based on electroencephalogram analysis, EURASIP Journal on Advances in Signal Processing, 2007.
18. Crider, A., Kremen WS, Xian H, Jacobson KC, Waterman B, Eisen SA, Tsuang MT, Lyons MJ.,Stability, consistency, and heritability of electrodermal response lability in middle-aged male twins, Psychophysiology 41(4), pp. 501-509, 2004.
19. Gottesman, H. & Shields, J., Schizophrenia and Genetics: A Twin Study Vantage Point, new York: Academic Press, 1972.