A Study on User Recognition Using 2D ECG Image Based on Ensemble Networks for Intelligent Vehicles
Joint Authors
Kim, Min-Gu
Ko, Hoon
Pan, Sung Bum
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
IoT enabled smart car era is expected to begin in the near future as convergence between car and IT accelerates.
Current smart cars can provide various information and services needed by the occupants via wearable devices or Vehicle to Everything (V2X) communication environment.
In order to provide such services, a system to analyze wearable device information on the smart car platform needs to be designed.
In this paper a real time user recognition method using 2D ECG (Electrocardiogram) images, a biometric signal that can be obtained from wearable devices, will be studied.
ECG (Electrocardiogram) signal can be classified by fiducial point method using feature points detection or nonfiducial point method due to time change.
In the proposed algorithm, a CNN based ensemble network was designed to improve performance by overcoming problems like overfitting which occur in a single network.
Test results show that 2D ECG image based user recognition accuracy improved by 1%~1.7% for the fiducial point method and by 0.9%~2% for the nonfiducial point method.
By showing 13% higher performance compared to the single network in which recognition rate reduction occurs because similar characteristics are shown between classes, capability for use in a smart vehicle platform based user recognition system that requires reliability was demonstrated by the proposed method.
American Psychological Association (APA)
Kim, Min-Gu& Ko, Hoon& Pan, Sung Bum. 2019. A Study on User Recognition Using 2D ECG Image Based on Ensemble Networks for Intelligent Vehicles. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1212226
Modern Language Association (MLA)
Kim, Min-Gu…[et al.]. A Study on User Recognition Using 2D ECG Image Based on Ensemble Networks for Intelligent Vehicles. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1212226
American Medical Association (AMA)
Kim, Min-Gu& Ko, Hoon& Pan, Sung Bum. A Study on User Recognition Using 2D ECG Image Based on Ensemble Networks for Intelligent Vehicles. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1212226
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212226