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Electrophysiological Biometrics: Opportunities and Risks

  • Alejandro Riera
  • Stephen Dunne
  • Iván Cester
  • Giulio Ruffini
Chapter
Part of the The International Library of Ethics, Law and Technology book series (ELTE, volume 11)

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.

Keywords

Equal Error Rate Brain Computer Interface Biometric System Imagery Task Iris Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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

Notes

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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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Alejandro Riera
    • 1
  • Stephen Dunne
    • 1
  • Iván Cester
    • 1
  • Giulio Ruffini
    • 1
  1. 1.Starlab Barcelona S.L.BarcelonaSpain

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