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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) 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

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

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

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

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…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Vineet R. Shenoy , Shaoju Wu , Armand Comas , Tim K. Marks , Suhas Lohit , Hassan Mansour

Heart rate (HR) is an essential clinical measure for the assessment of cardiorespiratory instability. Since communities of color are disproportionately affected by both COVID-19 and cardiovascular disease, there is a pressing need to deploy…

Image and Video Processing · Electrical Eng. & Systems 2020-12-10 Pradyumna Chari , Krish Kabra , Doruk Karinca , Soumyarup Lahiri , Diplav Srivastava , Kimaya Kulkarni , Tianyuan Chen , Maxime Cannesson , Laleh Jalilian , Achuta Kadambi

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

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

Heart rate (HR) estimation via remote photoplethysmography (rPPG) offers a non-invasive solution for health monitoring. However, traditional single-modality approaches (RGB or Radio Frequency (RF)) face challenges in balancing robustness…

Computer Vision and Pattern Recognition · Computer Science 2025-02-20 Zheng Wu , Yiping Xie , Bo Zhao , Jiguang He , Fei Luo , Ning Deng , Zitong Yu

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

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 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

We propose an end-to-end framework to measure people's vital signs including Heart Rate (HR), Heart Rate Variability (HRV), Oxygen Saturation (SpO2) and Blood Pressure (BP) based on the rPPG methodology from the video of a user's face…

Computer Vision and Pattern Recognition · Computer Science 2022-12-23 Donghao Qiao , Amtul Haq Ayesha , Farhana Zulkernine , Raihan Masroor , Nauman Jaffar

Remote photoplethysmography (rPPG) holds great promise for continuous heart-rate monitoring of drivers in intelligent vehicles. However, its performance is severely degraded by the highly dynamic illumination changes. A critical yet…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Jieying Wang , Xinqi Cai , Caifeng Shan , Wenjin Wang

Many remote Heart Rate (HR) measurement methods focus on estimating remote photoplethysmography (rPPG) signals from video clips lasting around 10 seconds but often overlook the need for HR estimation from ultra-short video clips. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Pei-Kai Huanga , Ya-Ting Chan , Kuan-Wen Chen , Yen-Chun Chou , Shih-Yu Yang , Chiou-Ting Hsu

Remote photoplethysmography (rPPG) extracts PPG signals from subtle color changes in facial videos, showing strong potential for health applications. However, most rPPG methods rely on intensity differences between consecutive frames,…

Image and Video Processing · Electrical Eng. & Systems 2024-11-26 Kegang Wang , Jiankai Tang , Yantao Wei , Mingxuan Liu , Xin Liu , Yuntao Wang

The COVID-19 pandemic has underscored the need for low-cost, scalable approaches to measuring contactless vital signs, either during initial triage at a healthcare facility or virtual telemedicine visits. Remote photoplethysmography (rPPG)…

Image and Video Processing · Electrical Eng. & Systems 2024-11-26 Sandeep Nagar , Mark Hasegawa-Johnson , David G. Beiser , Narendra Ahuja

Emotion recognition from facial videos enables non-contact inference of human emotional states. Although facial expressions are widely used cues, they cannot fully reflect intrinsic affective states. Remote photoplethysmography (rPPG)…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Xiwen Luo , Jia Li , Rencheng Song , Yu Liu , Juan Cheng

Objective- Heart rate monitoring using wrist type Photoplethysmographic (PPG) signals is getting popularity because of construction simplicity and low cost of wearable devices. The task becomes very difficult due to the presence of various…