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In recent years, due to the widespread use of internet videos, remote photoplethysmography (rPPG) has gained more and more attention in the fields of affective computing. Restoring blood volume pulse (BVP) signals from facial videos is a…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Kegang Wang , Yantao Wei , Jiankai Tang , Yuntao Wang , Mingwen Tong , Jie Gao , Yujian Ma , Zhongjin Zhao

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

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

Depression is a mental illness that may be harmful to an individual's health. The detection of mental health disorders in the early stages and a precise diagnosis are critical to avoid social, physiological, or psychological side effects.…

Computer Vision and Pattern Recognition · Computer Science 2022-06-10 Constantino Álvarez Casado , Manuel Lage Cañellas , Miguel Bordallo López

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) 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

Vital signs, such as heart rate (HR), heart rate variability (HRV), respiratory rate (RR), are important indicators for a person's health. Vital signs are traditionally measured with contact sensors, and may be inconvenient and cause…

Image and Video Processing · Electrical Eng. & Systems 2019-11-04 Mingliang Chen , Qiang Zhu , Harrison Zhang , Min Wu , Quanzeng Wang

Remote photoplethysmography (rPPG), which aims at measuring heart activities without any contact, has great potential in many applications (e.g., remote healthcare). Existing rPPG approaches rely on analyzing very fine details of facial…

Image and Video Processing · Electrical Eng. & Systems 2019-07-30 Zitong Yu , Wei Peng , Xiaobai Li , Xiaopeng Hong , Guoying Zhao

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

Remote photoplethysmography (rPPG) enables non-contact, continuous monitoring of physiological signals and offers a practical alternative to traditional health sensing methods. Although rPPG is promising for daily health monitoring, its…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Xulin Ma , Jiankai Tang , Zhang Jiang , Songqin Cheng , Yuanchun Shi , Dong LI , Xin Liu , Daniel McDuff , Xiaojing Liu , Yuntao Wang

Engagement in virtual learning is crucial for a variety of factors including student satisfaction, performance, and compliance with learning programs, but measuring it is a challenging task. There is therefore considerable interest in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-04 Ali Abedi , Shehroz S. Khan

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

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 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

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) 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) 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

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

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) 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,…

Computer Vision and Pattern Recognition · Computer Science 2023-05-01 Nhi Nguyen , Le Nguyen , Constantino Álvarez Casado , Olli Silvén , Miguel Bordallo López
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