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Related papers: A Robust Remote Photoplethysmography Method

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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

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

Remote camera measurement of the blood volume pulse via photoplethysmography (rPPG) is a compelling technology for scalable, low-cost, and accessible assessment of cardiovascular information. Neural networks currently provide the…

Image and Video Processing · Electrical Eng. & Systems 2024-03-19 Björn Braun , Daniel McDuff , Christian Holz

Remote photoplethysmography (rPPG) can remotely extract physiological signals from RGB video, which has many advantages in detecting heart rate, such as low cost and no invasion to patients. The existing rPPG model is usually based on the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Taixi Chen , Yiu-ming Cheung

Objective: to establish an algorithmic framework and a benchmark dataset for comparing methods of pulse rate estimation using imaging photoplethysmography (iPPG). Approach: first we reveal essential steps of pulse rate estimation from…

Image and Video Processing · Electrical Eng. & Systems 2018-05-01 Anton M. Unakafov

Recent advancements in data-driven approaches for remote photoplethysmography (rPPG) have significantly improved the accuracy of remote heart rate estimation. However, the performance of such approaches worsens considerably under video…

Computer Vision and Pattern Recognition · Computer Science 2024-06-26 Joaquim Comas , Adria Ruiz , Federico Sukno

Human health can be critically affected by cardiovascular diseases, such as hypertension, arrhythmias, and stroke. Heart rate and blood pressure are important biometric information for the monitoring of cardiovascular system and early…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Gyutae Hwang , Sang Jun Lee

In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmographic (PPG) to detect heart rate (HR) and respiration rate (RR).…

Image and Video Processing · Electrical Eng. & Systems 2021-06-08 Jafar Pourbemany , Almabrok Essa , Ye Zhu

Remote heart rate measurement is an increasingly concerned research field, usually using remote photoplethysmography (rPPG) to collect heart rate information through video data collection. However, in certain specific scenarios (such as low…

Image and Video Processing · Electrical Eng. & Systems 2024-06-06 Jianming Yu , Yuchen He , Bin Li , Hui Chen , Huaibin Zheng , Jianbin Liu , Zhuo Xu

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

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…

Remote photoplethysmography (rPPG) is a technique for estimating blood volume changes from reflected light without the need for a contact sensor. We present the first examples of presentation attacks in the digital and physical domains on…

Computer Vision and Pattern Recognition · Computer Science 2021-10-25 Jeremy Speth , Nathan Vance , Patrick Flynn , Kevin W. Bowyer , Adam Czajka

Remote photoplethysmography (rPPG) is an attractive camera-based health monitoring method that can measure the heart rhythm from facial videos. Many well-established deep-learning models have been reported to measure heart rate (HR) and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-22 Jialiang Zhuang , Yuheng Chen , Yun Zhang , Xiujuan Zheng

This study evaluates remote Photopletismography (rPPG) algorithms, Spatial Subspace Rotation (2SR), Chrominance-based method (CHROM), Plane-Orthogonal-to-Skin (POS), and Principal Component Analysis (PCA), applied to selected…

Image and Video Processing · Electrical Eng. & Systems 2026-05-26 Đorđe D. Nešković , Nadica Miljković

Remote photoplethysmography (rPPG) enables non-contact measurement of cardiac pulse signals by analyzing subtle color changes in facial videos. Nevertheless, extracting rPPG signals remains challenging because of their extremely weak signal…

Image and Video Processing · Electrical Eng. & Systems 2026-05-22 Kosuke Kurihara , Yoshihiro Maeda , Daisuke Sugimura , Takayuki Hamamoto

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

Multi-channel photoplethysmography (PPG) sensors have found widespread adoption in wearable devices for monitoring cardiac health. Channels thereby serve different functions -- whereas green is commonly used for metrics such as heart rate…

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

Remote photoplethysmography (rPPG) emerges as a promising method for non-invasive, convenient measurement of vital signs, utilizing the widespread presence of cameras. Despite advancements, existing datasets fall short in terms of size and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Jiankai Tang , Xinyi Li , Jiacheng Liu , Xiyuxing Zhang , Zeyu Wang , Yuntao Wang

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) 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