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Facial-video based Remote photoplethysmography (rPPG) aims at measuring physiological signals and monitoring heart activity without any contact, showing significant potential in various applications. Previous deep learning based rPPG…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Chaoqi Luo , Yiping Xie , Zitong Yu

Remote Photoplethysmography (rPPG) enables non-contact physiological signal extraction from facial videos, offering applications in psychological state analysis, medical assistance, and anti-face spoofing. However, challenges such as motion…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Zhixin Yan , Yan Zhong , Hongbin Xu , Wenjun Zhang , Shangru Yi , Lin Shu , Wenxiong Kang

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

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

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

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

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

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

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 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

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

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 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

Remote photoplethysmography (rPPG) is a method for measuring a subjects heart rate remotely using a camera. Factors such as subject movement, ambient light level, makeup etc. complicate such measurements by distorting the observed pulse.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Alexey Protopopov

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…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Zhipeng Li , Kegang Wang , Hanguang Xiao , Xingyue Liu , Feizhong Zhou , Jiaxin Jiang , Tianqi Liu

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

Continuous monitoring of vital signs in Pediatric Intensive Care Units (PICUs) is essential for early detection of clinical deterioration and effective clinical decision-making. However, contact-based sensors such as pulse oximeters may…

Computer Vision and Pattern Recognition · Computer Science 2026-02-19 Mohamed Khalil Ben Salah , Philippe Jouvet , Rita Noumeir

Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have served a valuable role in the development of this technology…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Jiankai Tang , Kequan Chen , Yuntao Wang , Yuanchun Shi , Shwetak Patel , Daniel McDuff , Xin Liu

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
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