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PerAE: An Effective Personalized AutoEncoder for ECG-Based Biometric in Augmented Reality System

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成果类型:
期刊论文
作者:
Sun, Le;Zhong, Zhaoyi;Qu, Zhiguo;Xiong, N.*
通讯作者:
Xiong, N.
作者机构:
[Xiong, N.] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China
Department of Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China
[Sun, Le; Zhong, Zhaoyi; Qu, Zhiguo] Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China<&wdkj&>Department of Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, China
通讯机构:
[Xiong, N.] C
Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
语种:
英文
关键词:
Augmented reality system;biometrics;ECG-based identity recognition;personalized autoencoder
期刊:
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
ISSN:
2168-2194
年:
2022
卷:
26
期:
6
页码:
2435-2446
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61702274) 10.13039/501100012246-Priority Academic Program Development of Jiangsu Higher Education Institutions
机构署名:
本校为通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
With the development of the Augmented and Virtual Reality (AR/VR) technologies, massive biometric data are collected by different organizations. These data have great significance but also worsen the privacy risks. Electro-CardioGram (ECG)-based Identity Recognition (EIR) is a popular Biometric technology. An ECG record is an internal Biology feature of a person and has time continuity. Thus, compared with traditional Biometric methods like face recognition, EIR may be less vulnerable to attack. We propose an Autoencoder-based EIR system, calle...

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