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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

Remote photoplethysmography (rPPG), enabling non-contact physiological monitoring through facial light reflection analysis, faces critical computational bottlenecks as deep learning introduces performance gains at the cost of prohibitive…

Computer Vision and Pattern Recognition · Computer Science 2025-04-08 Kegang Wang , Jiankai Tang , Yuxuan Fan , Jiatong Ji , Yuanchun Shi , Yuntao Wang

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

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

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 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) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods directly extract video-based rPPG features by designing…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Shuyang Chu , Menghan Xia , Mengyao Yuan , Xin Liu , Tapio Seppanen , Guoying Zhao , Jingang Shi

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

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

Remote photoplethysmography (rPPG) enables contactless measurement of heart rate and other vital signs by analyzing subtle color variations in facial skin induced by cardiac pulsation. Current rPPG methods are mainly based on either…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Junzhe Cao , Bo Zhao , Zhiyi Niu , Dan Guo , Yue Sun , Haochen Liang , Yong Xu , Zitong YU

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

Non-contact remote photoplethysmography (rPPG) technology enables heart rate measurement from facial videos. However, existing network models still face challenges in accu racy, robustness, and generalization capability under complex…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Kang Cen , Chang-Hong Fu , Hong Hong

Remote photoplethysmography (rPPG) is an emerging contactless physiological sensing technique that leverages subtle color variations in facial videos to estimate vital signs such as heart rate and respiratory rate. This non-invasive method…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Ba-Thinh Nguyen , Thach-Ha Ngoc Pham , Hoang-Long Duc Nguyen , Thi-Duyen Ngo , Thanh-Ha Le

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

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 2022-05-24 Zitong Yu , Yuming Shen , Jingang Shi , Hengshuang Zhao , Philip Torr , Guoying Zhao

Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying…

Computer Vision and Pattern Recognition · Computer Science 2019-09-04 Amogh Gudi , Marian Bittner , Roelof Lochmans , Jan van Gemert

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

Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from facial videos which gives significant convenience compared with traditional contact-based measurements. In the real-world long-term health monitoring…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Jianwei Li , Zitong Yu , Jingang Shi

With a surge in online medical advising remote monitoring of patient vitals is required. This can be facilitated with the Remote Photoplethysmography (rPPG) techniques that compute vital signs from facial videos. It involves processing…

Artificial Intelligence · Computer Science 2022-08-23 Amtul Haq Ayesha , Donghao Qiao , Farhana Zulkernine

Remote photo-plethysmography (rPPG) uses a camera to estimate a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psychological conditions…

Computer Vision and Pattern Recognition · Computer Science 2021-01-01 Amogh Gudi , Marian Bittner , Jan van Gemert
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