Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition

doi:10.1007/s11633-022-1366-8

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition
	Chun-Ying Liu 1; Gong-Ping Yang 2; Yu-Wen Huang 1; Fu-Xian Huang 1
发表期刊	Machine Intelligence Research
ISSN	2731-538X
	2023
卷号	20 期号:5 页码:707-715
摘要	Photoplethysmography (PPG) biometrics have received considerable attention. Although deep learning has achieved good performance for PPG biometrics, several challenges remain open: 1) How to effectively extract the feature fusion representation from time and frequency PPG signals. 2) How to effectively capture a series of PPG signal transition information. 3) How to extract time varying information from one-dimensional time-frequency sequential data. To address these challenges, we propose a dual-domain and multiscale fusion deep neural network (DMFDNN) for PPG biometric recognition. The DMFDNN is mainly composed of a two-branch deep learning framework for PPG biometrics, which can learn the time-varying and multiscale discriminative features from the time and frequency domains. Meanwhile, we design a multiscale extraction module to capture transition information, which consists of multiple convolution layers with different receptive fields for capturing multiscale transition information. In addition, the dual-domain attention module is proposed to strengthen the domain of greater contributions from time-domain and frequency-domain data for PPG biometrics. Experiments on the four datasets demonstrate that DMFDNN outperforms the state-of-the-art methods for PPG biometrics.
关键词	Photoplethysmography (PPG) signal , biometric recognition, multiple scale, deep neural network, dual-domain attention
DOI	10.1007/s11633-022-1366-8
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/56005
专题	学术期刊_Machine Intelligence Research
作者单位	1.School of computer, Heze University, Heze 274015, China 2.School of Software, Shandong University, Jinan 250101, China
推荐引用方式 GB/T 7714	Chun-Ying Liu,Gong-Ping Yang, Yu-Wen Huang,et al. Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition[J]. Machine Intelligence Research,2023,20(5):707-715.
APA	Chun-Ying Liu,Gong-Ping Yang, Yu-Wen Huang,&Fu-Xian Huang.(2023).Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition.Machine Intelligence Research,20(5),707-715.
MLA	Chun-Ying Liu,et al."Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition".Machine Intelligence Research 20.5(2023):707-715.

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