PerAE: An Effective Personalized AutoEncoder for ECG-Based Biometric in Augmented Reality System-Reference-Cited by-同舟云学术

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

Author:

Sun Le¹^ORCID,Zhong Zhaoyi¹,Qu Zhiguo¹^ORCID,Xiong N.²^ORCID

Affiliation:

1. Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China

2. National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference62 articles.

2. ECG-based biometrics using convolutional neural networks and ensemble empirical mode decomposition;huang;Proc 3rd Int Conf Biomed Eng Inf,0

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