Abstract
The use of electrophysiological signals as features to authenticate subjects is a novel approach to biometrics. It has been proven that both electrocardiography (ECG) and electroencephalography (EEG) signals are unique enough to be applied for recognition and identification purposes. Moreover, the use of electrooculography (EOG) and electromyography (EMG), which are related to the movement of the eyes and muscular activity, can also be useful and add an extra dimension to the field of biometrics: the possibility of continuous and transparent biometrics, i.e., biometry on the move. We also comment on the future of the electrophysiological biometrics, highlighting the added value. This includes the use of a Brain Computer Interface (BCI) system for authentication purposes and the application of such a system for the evolving field of telepresence and virtual reality.
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- 1.
Real-time control of wheelchairs with brain waves http://www.riken.jp/engn/r-world/info/release/press/2009/090629/index.html . Accessed October 26th 2009.
- 2.
Cisco Telepresence Solution http://www.cisco.com/en/US/netsol/ns669/networking_solutions_solution_segment_home.html . Accessed October 26th 2009.
Abbreviations
- AR:
-
Autoregression
- BCI:
-
Brain computer interface
- CC:
-
Cross correlation
- CO:
-
Coherence
- ECG:
-
Electrocardiogram
- EEG:
-
Electroencephalogram
- EER:
-
Equal error rate
- EMG:
-
Electromyogram
- EOG:
-
Electrooculogram
- ERP:
-
Event related potential
- EU:
-
European Union
- FP:
-
Framework program
- FPR:
-
False positive rate
- FT:
-
Fourier transform
- Hz:
-
Hertz
- MI:
-
Mutual information
- TPR:
-
True positive rate
- USB:
-
Universal serial bus
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Acknowledgments
The authors wish to acknowledge the ACTIBIO project, a STREP collaborative project supported under the 7th Framework Program (Grant agreement number: FP7-ICT-2007-1-215372) in which Starlab is actively involved. ACTIBIO aims at authenticating subjects in a transparent way by monitoring their activities by means of novel biometric modalities.
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Riera, A., Dunne, S., Cester, I., Ruffini, G. (2012). Electrophysiological Biometrics: Opportunities and Risks. In: Mordini, E., Tzovaras, D. (eds) Second Generation Biometrics: The Ethical, Legal and Social Context. The International Library of Ethics, Law and Technology, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-3892-8_7
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