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Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site Physiological Monitoring (MSPM) dataset, which is the first dataset collected to support the study of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Jeremy Speth , Nathan Vance , Benjamin Sporrer , Lu Niu , Patrick Flynn , Adam Czajka

Today's diagnostics include devices such as pulse oximeters, blood pressure monitors, and temperature measurements. These devices provide vital information to medical personnel when making treatment decisions. Drawing inspiration from the…

Image and Video Processing · Electrical Eng. & Systems 2022-08-26 Akhil Kallepalli , David B James , Mark A Richardson

This report introduces VitalLens, an app that estimates vital signs such as heart rate and respiration rate from selfie video in real time. VitalLens uses a computer vision model trained on a diverse dataset of video and physiological…

Computer Vision and Pattern Recognition · Computer Science 2024-02-22 Philipp V. Rouast

Remote estimation of vital signs enables health monitoring for situations in which contact-based devices are either not available, too intrusive, or too expensive. In this paper, we present a modular, interpretable pipeline for pulse signal…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Vineet R. Shenoy , Shaoju Wu , Armand Comas , Tim K. Marks , Suhas Lohit , Hassan Mansour

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

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

Remote photoplethysmography (rPPG) based on traditional frame-based cameras often struggles with motion artifacts and limited temporal resolution. To address these limitations, we introduce EMPD (Event-based Multimodal Physiological…

Signal Processing · Electrical Eng. & Systems 2026-03-31 Qian Feng , Pengfei Li , Rongshan Gao , Jiale Xu , Rui Gong , Yidi Li

Imaging Photoplethysmography (iPPG), an optical procedure which recovers a human's blood volume pulse (BVP) waveform using pixel readout from a camera, is an exciting research field with many researchers performing clinical studies of iPPG…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Vineet R. Shenoy , Cheng Peng , Rama Chellappa , Yu Sun

Objective: We propose a non-contact approach for atrial fibrillation (AF) detection from face videos. Methods: Face videos, electrocardiography (ECG), and contact photoplethysmography (PPG) from 100 healthy subjects and 100 AF patients are…

Image and Video Processing · Electrical Eng. & Systems 2022-08-10 Zhaodong Sun , Juhani Junttila , Mikko Tulppo , Tapio Seppänen , Xiaobai Li

Camera-based monitoring of vital signs, also known as imaging photoplethysmography (iPPG), has seen applications in driver-monitoring, perfusion assessment in surgical settings, affective computing, and more. iPPG involves sensing the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Vineet R Shenoy , Suhas Lohit , Hassan Mansour , Rama Chellappa , Tim K. Marks

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

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

Photoplethysmographic imaging is a camera-based solution for non-contact cardiovascular monitoring from a distance. This technology enables monitoring in situations where contact-based devices may be problematic or infeasible, such as…

Computer Vision and Pattern Recognition · Computer Science 2016-06-30 Robert Amelard , David A Clausi , Alexander Wong

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

We collected a large dataset consisting of 850 unique participants. For every participant we recorded two 30 second uncompressed videos, synchronized PPG waveforms and a single blood pressure measurement. Gender, age and skin color were…

Computer Vision and Pattern Recognition · Computer Science 2025-05-05 Pieter-Jan Toye

In order to obtain insights into the feasibility of replacing ECG-guided triggering in magnetic resonance imaging (MRI) by a system based on video photoplethysmography (PPG), PPG and ECG data were collected from volunteers in an MRI…

Signal Processing · Electrical Eng. & Systems 2023-06-19 A. C. den Brinker , H. H. Der Sarkissian , J. H. Wülbern , B. Balmaekers , M. Padalko , J. Sénégas , R. Springorum , C. Possanzini

In this paper we develop a robust for heart rate (HR) estimation method using face video for challenging scenarios with high variability sources such as head movement, illumination changes, vibration, blur, etc. Our method employs a quality…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Javier Hernandez-Ortega , Shigenori Nagae , Julian Fierrez , Aythami Morales

Camera-based physiological signal estimation provides a non-contact and convenient means to monitor Heart Rate (HR). However, the presence of vital signals in facial videos raises significant privacy concerns, as they can reveal sensitive…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Tianwen Zhou , Akshay Paruchuri , Josef Spjut , Kaan Akşit

Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physiological signals (e.g., Electroencephalogram,…

Cryptography and Security · Computer Science 2024-01-29 Lin Li , Chao Chen , Lei Pan , Leo Yu Zhang , Zhifeng Wang , Jun Zhang , Yang Xiang

Cardiac abnormalities affecting heart rate and rhythm are commonly observed in both healthy and acutely unwell people. Although many of these are benign, they can sometimes indicate a serious health risk. ECG monitors are typically used to…

Signal Processing · Electrical Eng. & Systems 2018-07-12 Stewart Whiting , Samuel Moreland , Jason Costello , Glen Colopy , Christopher McCann
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