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Remote photoplethysmography (rPPG) based physiological measurement is an emerging yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from facial videos accompanied by noises of illumination variations,…

计算机视觉与模式识别 · 计算机科学 2023-08-16 Wei Qian , Dan Guo , Kun Li , Xilan Tian , Meng Wang

Remote estimation of vital signs enables health monitoring for situations in which contact-based devices are either not available, too intrusive, or too expensive. In this paper, we present a modular, interpretable pipeline for pulse signal…

计算机视觉与模式识别 · 计算机科学 2025-03-24 Vineet R. Shenoy , Shaoju Wu , Armand Comas , Tim K. Marks , Suhas Lohit , Hassan Mansour

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…

计算机视觉与模式识别 · 计算机科学 2023-02-08 Zitong Yu , Yuming Shen , Jingang Shi , Hengshuang Zhao , Yawen Cui , Jiehua Zhang , Philip Torr , Guoying Zhao

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…

计算机视觉与模式识别 · 计算机科学 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…

计算机视觉与模式识别 · 计算机科学 2022-12-06 Jianwei Li , Zitong Yu , Jingang Shi

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…

计算机视觉与模式识别 · 计算机科学 2023-05-25 Nathan Vance , Jeremy Speth , Benjamin Sporrer , Patrick Flynn

Remote photoplethysmography (rPPG) captures cardiac signals from facial videos and is gaining attention for its diverse applications. While deep learning has advanced rPPG estimation, it relies on large, diverse datasets for effective…

计算机视觉与模式识别 · 计算机科学 2025-07-22 Joaquim Comas , Federico Sukno

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…

计算机视觉与模式识别 · 计算机科学 2025-12-09 Kegang Wang , Jiankai Tang , Yuntao Wang , Xin Liu , Yuxuan Fan , Jiatong Ji , Yuanchun Shi , Daniel McDuff

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…

计算机视觉与模式识别 · 计算机科学 2021-11-19 John Gideon , Simon Stent

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…

计算机视觉与模式识别 · 计算机科学 2020-07-15 Eugene Lee , Evan Chen , Chen-Yi Lee

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)…

计算机视觉与模式识别 · 计算机科学 2019-08-01 Zitong Yu , Xiaobai Li , Guoying Zhao

Remote Photoplethysmography (rPPG) is a non-contact method that uses facial video to predict changes in blood volume, enabling physiological metrics measurement. Traditional rPPG models often struggle with poor generalization capacity in…

计算机视觉与模式识别 · 计算机科学 2024-09-19 Yiping Xie , Zitong Yu , Bingjie Wu , Weicheng Xie , Linlin Shen

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…

计算机视觉与模式识别 · 计算机科学 2023-07-25 Zijie Yue , Miaojing Shi , Shuai Ding

Remote photoplethysmography (rPPG) is a non-contact technique for measuring human physiological signals. Due to its convenience and non-invasiveness, it has demonstrated broad application potential in areas such as health monitoring and…

计算机视觉与模式识别 · 计算机科学 2025-07-08 Zhipeng Li , Kegang Wang , Hanguang Xiao , Xingyue Liu , Feizhong Zhou , Jiaxin Jiang , Tianqi Liu

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,…

计算机视觉与模式识别 · 计算机科学 2023-05-01 Nhi Nguyen , Le Nguyen , Constantino Álvarez Casado , Olli Silvén , Miguel Bordallo López

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…

计算机视觉与模式识别 · 计算机科学 2025-10-08 Zahra Maleki , Amirhossein Akbari , Amirhossein Binesh , Babak Khalaj

Remote photoplethysmography (rPPG) allows for the contactless estimation of physiological signals from facial videos by analyzing subtle skin color changes. However, rPPG signals are extremely susceptible to illumination changes, motion,…

图像与视频处理 · 电气工程与系统科学 2026-03-31 Arpan Bairagi , Rakesh Dey , Siladittya Manna , Umapada Pal

Background: Photoplethysmography (PPG) is a non-invasive optical sensing technique widely used to capture hemodynamic information, with broad deployment in both clinical monitoring systems and wearable devices. In recent years, the…

人工智能 · 计算机科学 2026-05-06 Guangkun Nie , Jiabao Zhu , Gongzheng Tang , Deyun Zhang , Shijia Geng , Qinghao Zhao , Shenda Hong

Remote photoplethysmography (rPPG) is a noninvasive technique that aims to capture subtle variations in facial pixels caused by changes in blood volume resulting from cardiac activities. Most existing unsupervised methods for rPPG tasks…

计算机视觉与模式识别 · 计算机科学 2024-09-24 Xinyu Zhang , Weiyu Sun , Hao Lu , Ying Chen , Yun Ge , Xiaolin Huang , Jie Yuan , Yingcong Chen

Remote photoplethysmography (rPPG) technology has drawn increasing attention in recent years. It can extract Blood Volume Pulse (BVP) from facial videos, making many applications like health monitoring and emotional analysis more…

计算机视觉与模式识别 · 计算机科学 2023-03-13 Hao Lu , Zitong Yu , Xuesong Niu , Yingcong Chen