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The growing integration of smart environments and low-power computing devices, coupled with mass-market sensor technologies, is driving advancements in remote and non-contact physiological monitoring. However, deploying these systems in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Constantino Álvarez Casado , Sasan Sharifipour , Manuel Lage Cañellas , Nhi Nguyen , Le Nguyen , Miguel Bordallo López

Photoplethysmography (PPG) is a widely used non-invasive physiological sensing technique, suitable for various clinical applications. Such clinical applications are increasingly supported by machine learning methods, raising the question of…

Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body. This study presents an efficient multi-hierarchical spatio-temporal convolutional network that can quickly estimate remote physiological (rPPG)…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Bin Li , Panpan Zhang , Jinye Peng , Hong Fu

Remote photoplethysmography (rPPG) enables non-contact measurement of physiological signals from facial videos, offering strong potential for remote healthcare and daily health monitoring. Driven by this potential, various deep…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Jun Seong Lee , Samyeul Noh , Changki Sung , Hyun Myung

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

Remote heart rate estimation is the measurement of heart rate without any physical contact with the subject and is accomplished using remote photoplethysmography (rPPG) in this work. rPPG signals are usually collected using a video camera…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Eugene Lee , Evan Chen , Chen-Yi Lee

Smartwatches have become popular for monitoring physiological parameters outside clinical settings. Using reflective photoplethysmography (PPG) sensors, such watches can non-invasively estimate heart rate (HR) in everyday environments and…

Signal Processing · Electrical Eng. & Systems 2024-12-24 Manuel Meier , Christian Holz

Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the accurate measurement of vital signs in real-world scenarios…

Computer Vision and Pattern Recognition · Computer Science 2024-05-03 Nhi Nguyen , Le Nguyen , Honghan Li , Miguel Bordallo López , Constantino Álvarez Casado

Remote photoplethysmography (rPPG) offers a promising solution for non-contact driver monitoring by detecting subtle blood flow-induced facial color changes from video. However, motion artifacts in dynamic driving environments remain key…

Image and Video Processing · Electrical Eng. & Systems 2025-09-09 Đorđe D. Nešković , Kristina Stojmenova Pečečnik , Jaka Sodnik , Nadica Miljković

Remote photoplethysmography (rPPG) is an important technique for perceiving human vital signs, which has received extensive attention. For a long time, researchers have focused on supervised methods that rely on large amounts of labeled…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Xin Liu , Yuting Zhang , Zitong Yu , Hao Lu , Huanjing Yue , Jingyu Yang

Remote Photoplethysmography (rPPG) is a promising technique to monitor physiological signals such as heart rate from facial videos. However, the labeled facial videos in this research are challenging to collect. Current rPPG research is…

Computer Vision and Pattern Recognition · Computer Science 2025-02-07 Bingjie Wu , Zitong Yu , Yiping Xie , Wei Liu , Chaoqi Luo , Yong Liu , Rick Siow Mong Goh

Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e.g., remote healthcare). Existing end-to-end rPPG and heart rate (HR) measurement methods from…

Computer Vision and Pattern Recognition · Computer Science 2020-08-26 Zitong Yu , Xiaobai Li , Xuesong Niu , Jingang Shi , Guoying Zhao

Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports. Our work proposes a set of pipelines to extract remote PPG signals (rPPG) from the face robustly, reliably, and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-08 Constantino Álvarez Casado , Miguel Bordallo López

Remote photoplethysmography (rPPG) enables contactless physiological monitoring by capturing subtle skin-color variations from facial videos. However, most existing methods predominantly rely on time-domain modeling, making them vulnerable…

Computer Vision and Pattern Recognition · Computer Science 2026-04-02 Wei Qian , Dan Guo , Jinxing Zhou , Bochao Zou , Zitong Yu , Meng Wang

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

Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart-rate (HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, Motion Artifacts (MAs) severely impact the monitoring accuracy, causing high…

Remote photoplethysmography (rPPG) is a non-contact technique that estimates physiological signals by analyzing subtle skin color changes in facial videos. Existing rPPG methods often encounter performance degradation under facial motion…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Zuxian He , Xu Cheng , Zhaodong Sun , Haoyu Chen , Jingang Shi , Xiaobai Li , Guoying Zhao

Remote photoplethysmography (rPPG), a family of techniques for monitoring blood volume changes, may be especially useful for widespread contactless health monitoring using face video from consumer-grade visible-light cameras. The COVID-19…

Computer Vision and Pattern Recognition · Computer Science 2021-05-21 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin Bowyer , Adam Czajka

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

Remote photoplethysmography (rPPG) based physiological measurement has great application values in affective computing, non-contact health monitoring, telehealth monitoring, etc, which has become increasingly important especially during the…

Human-Computer Interaction · Computer Science 2022-06-22 Yuhang Dong , Gongping Yang , Yilong Yin