ECG Authentication System Design Based on Signal Analysis in Mobile and Wearable Devices

Shin Jae Kang, Seung Yong Lee, Hyo Il Cho, Hyunggon Park

Research output: Contribution to journalArticlepeer-review

71 Scopus citations

Abstract

We propose a practical system design for biometrics authentication based on electrocardiogram (ECG) signals collected from mobile or wearable devices. The ECG signals from such devices can be corrupted by noise as a result of movement, signal acquisition type, etc. This leads to a tradeoff between captured signal quality and ease of use. We propose the use of cross correlation of the templates extracted during the registration and authentication stages. The proposed approach can reduce the time required to achieve the target false acceptance rate (FAR) and false rejection rate (FRR). The proposed algorithms are implemented in a wearable watch for verification of feasibility. In the experiment results, the FAR and FRR are 5.2% and 1.9%, respectively, at approximately 3 s of authentication and 30 s of registration.

Original languageEnglish
Article number7412667
Pages (from-to)805-808
Number of pages4
JournalIEEE Signal Processing Letters
Volume23
Issue number6
DOIs
StatePublished - Jun 2016

Keywords

  • Authentication
  • biometrics
  • electrocardiogram (ECG)
  • mobile and wearable environments
  • signal analysis

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