Title | ||
---|---|---|
ECG Authentication System Design Based on Signal Analysis in Mobile and Wearable Devices. |
Abstract | ||
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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 ext... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/LSP.2016.2531996 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Electrocardiography,Authentication,Signal processing algorithms,Feature extraction,Mobile communication,Iris recognition,Approximation algorithms | Signal processing,Authentication,Systems design,Real-time computing,Artificial intelligence,Wearable technology,Computer vision,Iris recognition,Pattern recognition,Wearable computer,Biometrics,Mobile telephony,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 6 | 1070-9908 |
Citations | PageRank | References |
23 | 0.89 | 11 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shin Jae Kang | 1 | 55 | 6.48 |
Seung Yong Lee | 2 | 23 | 0.89 |
Hyo Il Cho | 3 | 23 | 0.89 |
Hyunggon Park | 4 | 229 | 24.11 |