Journal
IEEE ACCESS
Volume 4, Issue -, Pages 1266-1273Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2016.2548519
Keywords
Biometric; authentication; electrocardiogram; CardioChip; BMD101
Categories
Funding
- LG Electronics
- National Research Foundation of Korea within the Ministry of Science, ICT and Future Planning through the Korean Government [2011-0009963, 2014M3C9A3063541]
- Brain Korea 21 Plus Project
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Electrocardiogram (ECG) signals from mobile sensors are expected to increase the availability of authentication in the emerging wearable device industry. However, mobile sensors provide a relatively lower quality signal than the conventional medical devices. This paper proposes a practical authentication procedure for ECG signals that collected via one-chip-solution mobile sensors. We designed a cascading bandpass filter for noise cancellation and suggest eight fiducial features. For classification-based authentication, we use the radial basis function kernel-based support vector machine showing the best performance among nine classifiers through experimental comparisons. In spite of noisy ECG signals in mobile sensors, we achieved 4.61% of the equal error rate (EER) on a single heartbeat, and 1.87% of EER on 15 s testing time on 175 subjects, which is a reasonable result and supports the usability of low-cost ECGs for biometric authentication.
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