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Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) signals, rPPG-based face anti-spoofing methods often suffer from…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Chenglin Yao , Jianfeng Ren , Ruibin Bai , Heshan Du , Jiang Liu , Xudong Jiang

Remote Photoplethysmography (rPPG) is a fast-growing technique of vital sign estimation by analyzing video of a person. Several major phenomena affecting rPPG signals have been studied (e.g. video compression, distance from person to…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Yuriy Mironenko , Konstantin Kalinin , Mikhail Kopeliovich , Mikhail Petrushan

Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological signals based on facial videos, holding high potential in various applications. Due to the periodicity nature of rPPG signals, the long-range dependency…

Computer Vision and Pattern Recognition · Computer Science 2025-02-21 Bochao Zou , Zizheng Guo , Jiansheng Chen , Junbao Zhuo , Weiran Huang , Huimin Ma

Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e.g., heart rate) using facial videos. Recent deep learning architectures have improved the accuracy of such physiological…

Computer Vision and Pattern Recognition · Computer Science 2021-06-14 Yunhao Ba , Zhen Wang , Kerim Doruk Karinca , Oyku Deniz Bozkurt , Achuta Kadambi

Subtle periodic signals such as blood volume pulse and respiration can be extracted from RGB video, enabling remote health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are…

Computer Vision and Pattern Recognition · Computer Science 2023-03-15 Jeremy Speth , Nathan Vance , Patrick Flynn , Adam Czajka

Remote photoplethysmography (rPPG) is a method for measuring a subjects heart rate remotely using a camera. Factors such as subject movement, ambient light level, makeup etc. complicate such measurements by distorting the observed pulse.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Alexey Protopopov

This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately supplied with blood.…

Computer Vision and Pattern Recognition · Computer Science 2022-12-26 Benjamin Kossack , Eric Wisotzky , Peter Eisert , Sebastian P. Schraven , Brigitta Globke , Anna Hilsmann

Photoplethysmography (PPG) is a non-invasive technology that measures changes in blood volume in the microvascular bed of tissue. It is commonly used in medical devices such as pulse oximeters and wrist worn heart rate monitors to monitor…

Photoplethysmography is a non-invasive optical technique that measures changes in blood volume within tissues. It is commonly and increasingly used for in a variety of research and clinical application to assess vascular dynamics and…

Medical Physics · Physics 2023-09-26 Marton A. Goda , Peter H. Charlton , Joachim A. Behar

Camera-based monitoring of vital signs, also known as imaging photoplethysmography (iPPG), has seen applications in driver-monitoring, perfusion assessment in surgical settings, affective computing, and more. iPPG involves sensing the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Vineet R Shenoy , Suhas Lohit , Hassan Mansour , Rama Chellappa , Tim K. Marks

Remote photoplethysmography (rPPG) technology infers heart rate by capturing subtle color changes in facial skin using a camera, demonstrating great potential in non-contact heart rate measurement. However, measurement accuracy…

Machine Learning · Computer Science 2025-04-08 Rufei Ma , Chao Chen

Remote photoplethysmography (rPPG) enables non-contact measurement of cardiac pulse signals by analyzing subtle color changes in facial videos. Nevertheless, extracting rPPG signals remains challenging because of their extremely weak signal…

Image and Video Processing · Electrical Eng. & Systems 2026-05-22 Kosuke Kurihara , Yoshihiro Maeda , Daisuke Sugimura , Takayuki Hamamoto

Recently, physiological signal-based biometric systems have received wide attention. Unlike traditional biometric features, physiological signals can not be easily compromised (usually unobservable to human eyes). Photoplethysmography (PPG)…

Cryptography and Security · Computer Science 2024-10-28 Lin Li , Chao Chen , Lei Pan , Yonghang Tai , Jun Zhang , Yang Xiang

Physiological activities can be manifested by the sensitive changes in facial imaging. While they are barely observable to our eyes, computer vision manners can, and the derived remote photoplethysmography (rPPG) has shown considerable…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Hang Shao , Lei Luo , Jianjun Qian , Mengkai Yan , Shuo Chen , Jian Yang

Remote photoplethysmography (rPPG) enables non-contact, continuous monitoring of physiological signals and offers a practical alternative to traditional health sensing methods. Although rPPG is promising for daily health monitoring, its…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Xulin Ma , Jiankai Tang , Zhang Jiang , Songqin Cheng , Yuanchun Shi , Dong LI , Xin Liu , Daniel McDuff , Xiaojing Liu , Yuntao Wang

Non-contact facial video-based heart rate estimation using remote photoplethysmography (rPPG) has shown great potential in many applications (e.g., remote health care) and achieved creditable results in constrained scenarios. However,…

Computer Vision and Pattern Recognition · Computer Science 2022-01-27 Jiaqi Kang , Su Yang , Weishan Zhang

Photoplethysmography (PPG) is one of the most widely captured biosignals for clinical prediction tasks, yet PPG-based algorithms are typically trained on small-scale datasets of uncertain quality, which hinders meaningful algorithm…

Machine Learning · Computer Science 2026-03-24 Mohammad Moulaeifard , Philip J. Aston , Peter H. Charlton , Nils Strodthoff

Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applications (e.g., remote healthcare and affective computing). Recent…

Computer Vision and Pattern Recognition · Computer Science 2023-02-08 Zitong Yu , Yuming Shen , Jingang Shi , Hengshuang Zhao , Yawen Cui , Jiehua Zhang , Philip Torr , Guoying Zhao

Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physiological signals (e.g., Electroencephalogram,…

Cryptography and Security · Computer Science 2024-01-29 Lin Li , Chao Chen , Lei Pan , Leo Yu Zhang , Zhifeng Wang , Jun Zhang , Yang Xiang

Cuffless blood pressure screening based on easily acquired photoplethysmography (PPG) signals offers a practical pathway toward scalable cardiovascular health assessment. Despite rapid progress, existing PPG-based blood pressure estimation…

Machine Learning · Computer Science 2026-02-05 Neville Mathew , Yidan Shen , Renjie Hu , Maham Rahimi , George Zouridakis