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ECG signals for biometric applications: are we there yet?

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dc.contributor.authorCarreiras, Carlos
dc.contributor.authorLourenço, André
dc.contributor.authorFred, Ana Luísa Nobre
dc.contributor.authorFerreira, Rui
dc.date.accessioned2015-08-18T10:35:51Z
dc.date.available2015-08-18T10:35:51Z
dc.date.issued2014
dc.description.abstractThe potential of the electrocardiographic (ECG) signal as a biometric trait has been ascertained in the literature over the past decade. The inherent characteristics of the ECG make it an interesting biometric modality, given its universality, intrinsic aliveness detection, continuous availability, and inbuilt hidden nature. These properties enable the development of novel applications, where non-intrusive and continuous authentication are critical factors. Examples include, among others, electronic trading platforms, the gaming industry, and the auto industry, in particular for car sharing programs and fleet management solutions. However, there are still some challenges to overcome in order to make the ECG a widely accepted biometric. In particular, the questions of uniqueness (inter-subject variability) and permanence over time (intra-subject variability) are still largely unanswered. In this paper we focus on the uniqueness question, presenting a preliminary study of our biometric recognition system, testing it on a database encompassing 618 subjects. We also performed tests with subsets of this population. The results reinforce that the ECG is a viable trait for biometrics, having obtained an Equal Error Rate of 9.01% and an Error of Identification of 15.64% for the entire test population.por
dc.identifier.citationCARREIRAS, Carlos; [et al] – ECG signals for biometric applications: Are we there yet? In ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics. New York : IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. ISBN: 978-989758040-6. Vol. 2, p. 765-772.pt_PT
dc.identifier.isbn978-989758040-6
dc.identifier.urihttp://hdl.handle.net/10400.21/4798
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEE - Institute of Electrical and Electronics Engineers Inc.por
dc.relationPTDCIEEISIII231212012
dc.relationSFRHlBD/6524812009
dc.relationSFRHIPROTEC/4951212009
dc.subjectBiometricspor
dc.subjectClassificationpor
dc.subjectECGpor
dc.subjectPerson Recognitionpor
dc.titleECG signals for biometric applications: are we there yet?por
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceNew Yorkpor
oaire.citation.endPage772por
oaire.citation.startPage765por
oaire.citation.titleICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Roboticspor
oaire.citation.volume2por
person.familyNameLourenço
person.givenNameAndré
person.identifier.orcid0000-0001-8935-9578
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationcbc6b0dc-187b-4f88-a8b3-52b4721df057
relation.isAuthorOfPublication.latestForDiscoverycbc6b0dc-187b-4f88-a8b3-52b4721df057

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