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Wrist photoplethysmography (PPG) allows unobtrusive monitoring of the heart rate (HR). PPG is affected by the capillary blood perfusion and the pumping function of the heart, which generally deteriorate with age and due to presence of…

Remote photoplethysmography (rPPG) is a promising technology that captures physiological signals from face videos, with potential applications in medical health, emotional computing, and biosecurity recognition. The demand for rPPG tasks…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Yuting Zhang , Hao Lu , Xin Liu , Yingcong Chen , Kaishun Wu

Wearables are widely used for mobile health monitoring, and photoplethysmography (PPG) is a key sensing modality for heart rate and related physiological measurements. However, public in-the-wild PPG datasets remain largely wrist-centric or…

Human-Computer Interaction · Computer Science 2026-05-20 Jiayi Shao , Jiaying Ye , Shengyao Liu , Zachary Englhardt , Girish Narayanswamy , Vikram Iyer , Qiuyue Shirley Xue

Continuous cardiovascular monitoring can play a key role in precision health. However, some fundamental cardiac biomarkers of interest, including stroke volume and cardiac output, require invasive measurements, e.g., arterial pressure…

Physiological activities can be manifested by the sensitive changes in facial imaging. While they are barely observable to our eyes, computer vision manners can, and the derived remote photoplethysmography (rPPG) has shown considerable…

Computer Vision and Pattern Recognition · Computer Science 2025-03-17 Hang Shao , Lei Luo , Jianjun Qian , Mengkai Yan , Shuo Chen , Jian Yang

Heart rate (HR) and heart rate variability (HRV) are important vital signs for human physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sensors can infer HR and HRV. However, it is difficult to find…

Signal Processing · Electrical Eng. & Systems 2025-05-27 Jingye Xu , Yuntong Zhang , Wei Wang , Mimi Xie , Dakai Zhu

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

Remote photo-plethysmography (rPPG) uses a camera to estimate 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 physio/psychological conditions…

Computer Vision and Pattern Recognition · Computer Science 2021-01-01 Amogh Gudi , Marian Bittner , Jan van Gemert

Remote photoplethysmography (rPPG) is an important technique for perceiving human vital signs, which has received extensive attention. For a long time, researchers have focused on supervised methods that rely on large amounts of labeled…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Xin Liu , Yuting Zhang , Zitong Yu , Hao Lu , Huanjing Yue , Jingyu Yang

Photoplethysmography (PPG) is the leading non-invasive technique for monitoring biosignals and cardiovascular health, with widespread adoption in both clinical settings and consumer wearable devices. While machine learning models trained on…

Machine Learning · Computer Science 2025-02-06 Arvind Pillai , Dimitris Spathis , Fahim Kawsar , Mohammad Malekzadeh

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

Camera-based remote photoplethysmography (rPPG) enables contactless measurement of important physiological signals such as pulse rate (PR). However, dynamic and unconstrained subject motion introduces significant variability into the facial…

Computer Vision and Pattern Recognition · Computer Science 2024-05-02 Sam Cantrill , David Ahmedt-Aristizabal , Lars Petersson , Hanna Suominen , Mohammad Ali Armin

Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during physical activities is proposed. Methods: It jointly estimates spectra of PPG signals and simultaneous acceleration signals, utilizing the multiple…

Other Computer Science · Computer Science 2015-07-22 Zhilin Zhang

Objectives: This study examines human Photoplethysmogram (PPG) along with Electrocardiogram (ECG) signals to study cardiac autonomic imbalance in epileptic seizures. The significance and the prevalence of changes in PPG morphological…

Signal Processing · Electrical Eng. & Systems 2019-12-12 Seyede Mahya Safavi , Ninaz Valisharifabad , Robert Sabino , Hsinchung Chen , Ali HeydariGorji , Demi Tran , Jack Lin , Beth Lopour , Pai H. Chou

Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of the wellness of a patient. Continuous monitoring of RR can…

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 measurement finds application in healthcare, education, services. The use of physiological and behavioral features is viable, but the impracticality of traditional physiological measurement arises due to the need for contact…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Alexander Vedernikov , Zhaodong Sun , Virpi-Liisa Kykyri , Mikko Pohjola , Miriam Nokia , Xiaobai Li

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), 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

In this paper, we propose a method that learns a general representation of periodic signals from unlabeled facial videos by capturing subtle changes in skin tone over time. The proposed framework employs the video masked autoencoder to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Jiho Choi , Sang Jun Lee
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