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Authors: Hugo Silva 1 ; André Lourenço 2 ; Filipe Canento 1 ; Ana Fred 1 and Nuno Raposo 3

Affiliations: 1 IST-UTL, Portugal ; 2 IST-UTL and ISEL-IPL, Portugal ; 3 Cruz Vermelha Portuguesa, Portugal

Keyword(s): Electrocardiography, Identity Recognition, Biometrics, Biosignal Processing.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Cardiovascular Signals ; Detection and Identification ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications

Abstract: Electrocardiographic (ECG) signals have several properties that can greatly complement the existing, and more established biometric modalities. Some of the most prominent properties are the fact that the signals can be continuously acquired using minimally intrusive setups, are not prone to produce latent patterns, and provide intrinsic liveliness detection, opening new opportunities within the area of biometric systems development. The potential impact of this technique extends to a broad variety of application domains, ranging from the entertainment industry, to digital transactions. In this paper, we present a framework for ECG biometrics, with focus on some of the latest developments and future trends in the field, covering multiple aspects of the problem with the aim of a real-world deployment. Our results so far, further reinforce the feasibility and interest of the method in a multibiometrics approach.


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Paper citation in several formats:
Silva, H.; Lourenço, A.; Canento, F.; Fred, A. and Raposo, N. (2013). ECG Biometrics: Principles and Applications. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS; ISBN 978-989-8565-36-5; ISSN 2184-4305, SciTePress, pages 215-220. DOI: 10.5220/0004243202150220

author={Hugo Silva. and André Louren\c{C}o. and Filipe Canento. and Ana Fred. and Nuno Raposo.},
title={ECG Biometrics: Principles and Applications},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS},


JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2013) - BIOSIGNALS
TI - ECG Biometrics: Principles and Applications
SN - 978-989-8565-36-5
IS - 2184-4305
AU - Silva, H.
AU - Lourenço, A.
AU - Canento, F.
AU - Fred, A.
AU - Raposo, N.
PY - 2013
SP - 215
EP - 220
DO - 10.5220/0004243202150220
PB - SciTePress