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

doi:10.1007/s11633-022-1366-8

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition
	Chun-Ying Liu 2
刊名	Machine Intelligence Research
	2023
卷号	20 期号:5 页码:707-715
关键词	Photoplethysmography (PPG) signal , biometric recognition, multiple scale, deep neural network, dual-domain attention
ISSN号	2731-538X
DOI	10.1007/s11633-022-1366-8
英文摘要	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.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/52446]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	1.School of Software, Shandong University, Jinan 250101, China 2.School of computer, Heze University, Heze 274015, China
推荐引用方式 GB/T 7714	Chun-Ying Liu. 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.(2023).Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition.Machine Intelligence Research,20(5),707-715.
MLA	Chun-Ying Liu."Dual-domain and Multiscale Fusion Deep Neural Network for PPG Biometric Recognition".Machine Intelligence Research 20.5(2023):707-715.