DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation

IF 6.3 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

IEEE Transactions on Information Forensics and Security Pub Date : 2025-04-30 DOI:10.1109/tifs.2025.3565965

Pei-Kai Huang, Tzu-Hsien Chen, Ya-Ting Chan, Kuan-Wen Chen, Chiou-Ting Hsu

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DD-rPPGNet：无监督rPPG估计的去干扰和描述性特征学习

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Information Forensics and Security 工程技术-工程：电子与电气

CiteScore

14.40

自引率

7.40%

发文量

234

审稿时长

6.5 months

期刊介绍： The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features