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ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding

文献类型：期刊论文

作者Kui-Kui Wang3; Gong-Ping Yang2,3; Lu Yang1; Yu-Wen Huang2; Yi-Long Yin3
刊名Machine Intelligence Research
出版日期2023
卷号20期号:5页码:697-706
关键词Biometrics, matrix factorization, electrocardiogram (ECG), semantic information, enhanced correlation
ISSN号2731-538X
DOI10.1007/s11633-022-1345-0
英文摘要Electrocardiogram (ECG) biometric recognition has gained considerable attention, and various methods have been proposed to facilitate its development. However, one limitation is that the diversity of ECG signals affects the recognition performance. To address this issue, in this paper, we propose a novel ECG biometrics framework based on enhanced correlation and semantic-rich embedding. Firstly, we construct an enhanced correlation between the base feature and latent representation by using only one projection. Secondly, to fully exploit the semantic information, we take both the label and pairwise similarity into consideration to reduce the influence of ECG sample diversity. Furthermore, to solve the objective function, we propose an effective and efficient algorithm for optimization. Finally, extensive experiments are conducted on two benchmark datasets, and the experimental results show the effectiveness of our framework.
源URL[http://ir.ia.ac.cn/handle/173211/56004]  
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 Computer Science and Technology, Shandong Jianzhu University, Jinan 250101, China
2.School of Computer, Heze University, Heze 274015, China
3.School of Software, Shandong University, Jinan 250101, China
推荐引用方式
GB/T 7714		 Kui-Kui Wang,Gong-Ping Yang,Lu Yang,et al. ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding[J]. Machine Intelligence Research,2023,20(5):697-706.
APA Kui-Kui Wang,Gong-Ping Yang,Lu Yang,Yu-Wen Huang,&Yi-Long Yin.(2023).ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding.Machine Intelligence Research,20(5),697-706.
MLA Kui-Kui Wang,et al."ECG Biometrics via Enhanced Correlation and Semantic-rich Embedding".Machine Intelligence Research 20.5(2023):697-706.

入库方式： OAI收割

来源：自动化研究所

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