Real-time continuous identification system using ECG signals

This paper presents a prototype biometric system that per- forms real time human identification using the ECG signal. Cardiac signals have been lately suggested for biometric deployment, since they carry subject specific information and at the same time allow for inherent liveness detection. The Hea...

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Published in2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE) pp. 001313 - 001316
Main Authors Matta, Rafik, Lau, Johnny K. H., Agrafioti, Foteini, Hatzinakos, Dimitrios
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2011
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ISBN9781424497881
1424497884
ISSN0840-7789
DOI10.1109/CCECE.2011.6030676

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Abstract This paper presents a prototype biometric system that per- forms real time human identification using the ECG signal. Cardiac signals have been lately suggested for biometric deployment, since they carry subject specific information and at the same time allow for inherent liveness detection. The HeartID is the first system to continuously authenticate individuals who are conveniently wearing a portable, wireless ECG sensor. The AC/LDA algorithm is used for biometric template design because of its computational and performance advantages. The performance of the prototype testbed was evaluated over 10 subjects at the University of Toronto with very promising results.
AbstractList This paper presents a prototype biometric system that per- forms real time human identification using the ECG signal. Cardiac signals have been lately suggested for biometric deployment, since they carry subject specific information and at the same time allow for inherent liveness detection. The HeartID is the first system to continuously authenticate individuals who are conveniently wearing a portable, wireless ECG sensor. The AC/LDA algorithm is used for biometric template design because of its computational and performance advantages. The performance of the prototype testbed was evaluated over 10 subjects at the University of Toronto with very promising results.
Author Matta, Rafik
Hatzinakos, Dimitrios
Lau, Johnny K. H.
Agrafioti, Foteini
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  givenname: Dimitrios
  surname: Hatzinakos
  fullname: Hatzinakos, Dimitrios
  organization: Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
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Snippet This paper presents a prototype biometric system that per- forms real time human identification using the ECG signal. Cardiac signals have been lately...
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StartPage 001313
SubjectTerms Algorithm design and analysis
autocorrelation
electrocardiogram
Electrocardiography
Feature extraction
Humans
linear discriminant analysis
Prototypes
Real time systems
Testing
Title Real-time continuous identification system using ECG signals
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