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Remote photoplethysmography (rPPG) allows for noncontact monitoring of blood volume changes from a camera by detecting minor fluctuations in reflected light. Prior applications of rPPG focused on face videos. In this paper we explored the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-23 Lu Niu , Jeremy Speth , Nathan Vance , Benjamin Sporrer , Adam Czajka , Patrick Flynn

Facial video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e.g. heart rate, respiration frequency) from rPPG signals. Recent…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Zijie Yue , Miaojing Shi , Shuai Ding

The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring. In this work we propose a new approach to remote photoplethysmography (rPPG) - the measurement of blood volume…

Computer Vision and Pattern Recognition · Computer Science 2021-11-19 John Gideon , Simon Stent

Recent studies demonstrated that the average heart rate (HR) can be measured from facial videos based on non-contact remote photoplethysmography (rPPG). However for many medical applications (e.g., atrial fibrillation (AF) detection)…

Computer Vision and Pattern Recognition · Computer Science 2019-08-01 Zitong Yu , Xiaobai Li , Guoying Zhao

Camera-based physiological monitoring, especially remote photoplethysmography (rPPG), is a promising tool for health diagnostics, and state-of-the-art pulse estimators have shown impressive performance on benchmark datasets. We argue that…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Jeremy Speth , Nathan Vance , Benjamin Sporrer , Lu Niu , Patrick Flynn , Adam Czajka

Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the peripheral blood volume pulse (BVP) via photoplethysmography, and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Xin Liu , Girish Narayanswamy , Akshay Paruchuri , Xiaoyu Zhang , Jiankai Tang , Yuzhe Zhang , Soumyadip Sengupta , Shwetak Patel , Yuntao Wang , Daniel McDuff

Remote photoplethysmography (rPPG) is an innovative method for monitoring heart rate and vital signs by using a simple camera to record a person, as long as any part of their skin is visible. This low-cost, contactless approach helps in…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Zahra Maleki , Amirhossein Akbari , Amirhossein Binesh , Babak Khalaj

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

Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG) obtained from contact sensors. Recent studies have shown…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Zhaodong Sun , Xiaobai Li , Jukka Komulainen , Guoying Zhao

Video-based remote physiological measurement utilizes face videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised methods for rPPG measurements achieve state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2024-02-01 Zhaodong Sun , Xiaobai Li

Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos. While this approach benefits from contactless interaction, it is reliant on videos of faces, which often constitutes an important privacy concern.…

Computer Vision and Pattern Recognition · Computer Science 2023-06-05 Divij Gupta , Ali Etemad

Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e.g., remote healthcare). Existing rPPG approaches rely on analyzing very fine details of facial…

Image and Video Processing · Electrical Eng. & Systems 2019-07-30 Zitong Yu , Wei Peng , Xiaobai Li , Xiaopeng Hong , Guoying Zhao

Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many fields, such as health monitoring and emotion recognition.…

Image and Video Processing · Electrical Eng. & Systems 2020-06-05 Rencheng Song , Huan Chen , Juan Cheng , Chang Li , Yu Liu , Xun Chen

Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can be susceptible to various artifacts, such as noise,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-01 Nhi Nguyen , Le Nguyen , Constantino Álvarez Casado , Olli Silvén , Miguel Bordallo López

Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models. While current solutions offer substantial performance gains, we…

Computer Vision and Pattern Recognition · Computer Science 2023-05-25 Nathan Vance , Jeremy Speth , Benjamin Sporrer , Patrick Flynn

Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is interesting for various reasons. First, PPG can easily be measured using fingerclip sensors. Second, camera-based approaches allow to derive…

Machine Learning · Computer Science 2021-04-20 Fabian Schrumpf , Patrick Frenzel , Christoph Aust , Georg Osterhoff , Mirco Fuchs

Video photoplethysmography (vPPG) is an emerging method for non-invasive and convenient measurement of physiological signals, utilizing two primary approaches: remote video PPG (rPPG) and contact video PPG (cPPG). Monitoring vitals in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Ke Liu , Jiankai Tang , Zhang Jiang , Yuntao Wang , Xiaojing Liu , Dong Li , Yuanchun Shi

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and poor adherence to current methods of monitoring blood…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Theodore Curran , Chengqian Ma , Xin Liu , Daniel McDuff , Girish Narayanswamy , George Stergiou , Shwetak Patel , Eugene Yang

Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. While motion artifacts in dynamic environments have been…

Human-Computer Interaction · Computer Science 2025-04-17 Manh Pham Hung , Matthew Yiwen Ho , Yiming Zhang , Dimitris Spathis , Aaqib Saeed , Dong Ma

Vital sign measurement using cameras presents opportunities for comfortable, ubiquitous health monitoring. Remote photoplethysmography (rPPG), a foundational technology, enables cardiac measurement through minute changes in light reflected…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Kegang Wang , Jiankai Tang , Yuntao Wang , Xin Liu , Yuxuan Fan , Jiatong Ji , Yuanchun Shi , Daniel McDuff
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