Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors
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 authentic...
Main Authors: | Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2016-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7444130/ |
Similar Items
-
An Enhanced Machine Learning-Based Biometric Authentication System Using RR-Interval Framed Electrocardiograms
by: Song-Kyoo Kim, et al.
Published: (2019-01-01) -
The Concept of “Biometrics”. Biometric authentication protocols
by: D. V. Sokolov
Published: (2012-12-01) -
A Machine Learning Framework for Biometric Authentication Using Electrocardiogram
by: Song-Kyoo Kim, et al.
Published: (2019-01-01) -
Intelligent Deep Models Based on Scalograms of Electrocardiogram Signals for Biometrics
by: Yeong-Hyeon Byeon, et al.
Published: (2019-02-01) -
PALM VEIN PATTERN BIOMETRIC AUTHENTICATION TECHNOLOGY
by: S. O. Baranov, et al.
Published: (2017-08-01)