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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

We present our work on leveraging low-frame-rate monochrome (blue light) videos of fingertips, captured with an off-the-shelf fingerprint capture device, to extract vital signs and identify users. These videos utilize photoplethysmography…

Image and Video Processing · Electrical Eng. & Systems 2024-12-11 Olaoluwayimika Olugbenle , Logan Drake , Naveenkumar G. Venkataswamy , Arfina Rahman , Yemi Afolayanka , Masudul Imtiaz , Mahesh K. Banavar

Video-based physiology, exemplified by remote photoplethysmography (rPPG), extracts physiological signals such as pulse and respiration by analyzing subtle changes in video recordings. This non-contact, real-time monitoring method holds…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Lei Yu , Jintao Fei , Xinyi Liu , Yang Yao , Jun Zhao , Guoxin Wang , Xin Li

Photoplethysmography (PPG) is a widely used non-invasive sensing modality for continuous cardiovascular and physiological monitoring across clinical, laboratory, and wearable settings. While existing PPG datasets support a broad range of…

Computation and Language · Computer Science 2026-05-08 Hung Manh Pham , Jinyang Wu , Xiao Ma , Yiming Zhang , Yixin Xu , Aaqib Saeed , Bin Zhu , Zhou Pan , Dong Ma

Purpose. Photoplethysmography (PPG) is a non-invasive technique that measures changes in blood flow volume through optical means. Previous research has established the feasibility of PPG peak detection based on the crossover of moving…

Signal Processing · Electrical Eng. & Systems 2023-12-18 Cesar Abascal Machado , Victor O. Costa , Cesar Augusto Prior , Cesar Ramos Rodrigues

Remote photoplethysmography (rPPG) aims to measure non-contact physiological signals from facial videos, which has shown great potential in many applications. Most existing methods directly extract video-based rPPG features by designing…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Shuyang Chu , Menghan Xia , Mengyao Yuan , Xin Liu , Tapio Seppanen , Guoying Zhao , Jingang Shi

Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) attracted increasing attention in rPPG. However, when rPPG is…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Jiyao Wang , Hao Lu , Ange Wang , Xiao Yang , Yingcong Chen , Dengbo He , Kaishun Wu

Portable physiological monitoring is essential for early detection and management of cardiovascular disease, but current methods often require specialized equipment that limits accessibility or impose impractical postures that patients…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Jiankai Tang , Tao Zhang , Jia Li , Yiru Zhang , Mingyu Zhang , Kegang Wang , Yuming Hao , Bolin Wang , Haiyang Li , Xingyao Wang , Yuanchun Shi , Yuntao Wang , Sichong Qian

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 heart rate measurement from facial videos, but its performance is significantly degraded by facial motions such as speaking and head shaking. To address this issue, we propose two…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Gan Pei , Junhao Ning , Boqiu Shen , Yan Zhu , Menghan Hu

Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised methods for rPPG measurements have been shown to achieve good…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Zhaodong Sun , Xiaobai Li

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

Photoplethysmography (PPG) plays a crucial role in continuous cardiovascular health monitoring as a non-invasive and cost-effective modality. However, PPG signals are susceptible to motion artifacts and noise, making accurate estimation of…

Signal Processing · Electrical Eng. & Systems 2026-02-05 Shuntaro Suzuki , Shuitsu Koyama , Shinnosuke Hirano , Shunya Nagashima

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

The use of cameras and computational algorithms for noninvasive, low-cost and scalable measurement of physiological (e.g., cardiac and pulmonary) vital signs is very attractive. However, diverse data representing a range of environments,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-10 Daniel McDuff , Miah Wander , Xin Liu , Brian L. Hill , Javier Hernandez , Jonathan Lester , Tadas Baltrusaitis

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and poor adherence to current methods of monitoring blood…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Theodore Curran , Chengqian Ma , Xin Liu , Daniel McDuff , Girish Narayanswamy , George Stergiou , Shwetak Patel , Eugene Yang

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

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

Monitoring of cardiovascular activity is highly desired and can enable novel applications in diagnosing potential cardiovascular diseases and maintaining an individual's well-being. Currently, such vital signs are measured using intrusive…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Mayank Gupta , Lingjun Chen , Denny Yu , Vaneet Aggarwal

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