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Photoplethysmography (PPG) signals encode information about relative changes in blood volume that can be used to assess various aspects of cardiac health non-invasively, e.g.\ to detect atrial fibrillation (AF) or predict blood pressure…

Machine Learning · Computer Science 2025-05-19 Ciaran Bench , Vivek Desai , Mohammad Moulaeifard , Nils Strodthoff , Philip Aston , Andrew Thompson

Recently, remote respiratory rate measurement techniques gained much attention as they were developed to overcome the limitations of device-based classical methods and manual counting. Many approaches for RR extraction from the video stream…

Computer Vision and Pattern Recognition · Computer Science 2022-11-22 Petro Franchuk , Tetiana Yezerska

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

Touch plays a fundamental role in manipulation for humans; however, machine perception of contact and pressure typically requires invasive sensors. Recent research has shown that deep models can estimate hand pressure based on a single RGB…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Patrick Grady , Jeremy A. Collins , Chengcheng Tang , Christopher D. Twigg , Kunal Aneja , James Hays , Charles C. Kemp

Recently, physiological signal-based biometric systems have received wide attention. Unlike traditional biometric features, physiological signals can not be easily compromised (usually unobservable to human eyes). Photoplethysmography (PPG)…

Cryptography and Security · Computer Science 2024-10-28 Lin Li , Chao Chen , Lei Pan , Yonghang Tai , Jun Zhang , Yang Xiang

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

Remote patient monitoring is crucial in modern healthcare, but current systems struggle with real-time analysis and prediction of vital signs. This paper presents a novel architecture combining deep learning with 5G network capabilities to…

Networking and Internet Architecture · Computer Science 2025-01-03 Iqra Batool

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

Imaging-based, non-contact measurement of physiology (including imaging photoplethysmography and imaging ballistocardiography) is a growing field of research. There are several strengths of imaging methods that make them attractive. They…

Computer Vision and Pattern Recognition · Computer Science 2019-01-15 Daniel McDuff , Ethan Blackford

This paper presents a novel approach based on pulse transit time (PTT) for the estimation of blood pressure (BP). In order to achieve this goal, a data acquisition hardware is designed for high-resolution sampling of phonocardiogram (PCG)…

Signal Processing · Electrical Eng. & Systems 2019-05-08 Amirhossein Esmaili , Mohammad Kachuee , Mahdi Shabany

Non-contact facial video-based heart rate estimation using remote photoplethysmography (rPPG) has shown great potential in many applications (e.g., remote health care) and achieved creditable results in constrained scenarios. However,…

Computer Vision and Pattern Recognition · Computer Science 2022-01-27 Jiaqi Kang , Su Yang , Weishan Zhang

Respiratory ailments afflict a wide range of people and manifests itself through conditions like asthma and sleep apnea. Continuous monitoring of chronic respiratory ailments is seldom used outside the intensive care ward due to the large…

In this work, we introduce an innovative approach to estimate the vital signs of multiple human subjects simultaneously in a non-contact way using a Frequency Modulated Continuous Wave (FMCW) radar-based system. Traditional vital sign…

Systems and Control · Electrical Eng. & Systems 2025-12-01 Jewel Benny , Narahari N. Moudhgalya , Mujeev Khan , Hemant Kumar Meena , Mohd Wajid , Abhishek Srivastava

In the first half of the 20th century, a first pulse oximeter was available to measure blood flow changes in the peripheral vascular net. However, it was not until recent times the PhotoPlethysmoGraphic (PPG) signal used to monitor many…

Signal Processing · Electrical Eng. & Systems 2020-12-21 Javier de Pedro-Carracedo , David Fuentes-Jimenez , Ana M. Ugena , Ana P. Gonzalez-Marcos

Recent work has shown that a person's sympathetic arousal can be estimated from facial videos alone using basic signal processing. This opens up new possibilities in the field of telehealth and stress management, providing a non-invasive…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Björn Braun , Daniel McDuff , Tadas Baltrusaitis , Paul Streli , Max Moebus , Christian Holz

Remote photoplethysmography (rPPG) offers a novel approach to noninvasive monitoring of vital signs, such as respiratory rate, utilizing a camera. Although several supervised and self-supervised methods have been proposed, they often fail…

Computer Vision and Pattern Recognition · Computer Science 2025-04-03 Banafsheh Adami , Nima Karimian

In an effort to make biosignal integration more accessible to explore for more HCI researchers, this paper presents our investigation of how well a standard, near ubiquitous webcam can support remote sensing of heart rate and respiration…

Human-Computer Interaction · Computer Science 2023-04-24 Christoph Tremmel , Indu Bodala , M. C. Schraefel

Imaging photoplethysmography (iPPG) can be used for heart rate monitoring during driving, which is expected to reduce traffic accidents by continuously assessing drivers' physical condition. Deep learning-based iPPG methods using…

Image and Video Processing · Electrical Eng. & Systems 2024-11-05 Yuqi Tu , Shakith Fernando , Mark van Gastel

A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique widely used in the healthcare domain to extract valuable health-related information, e.g., heart rate variability, blood pressure, and respiration rate. PPG…

Remote photoplethysmography (rPPG) enables non-contact measurement of cardiac pulse signals by analyzing subtle color changes in facial videos. Nevertheless, extracting rPPG signals remains challenging because of their extremely weak signal…

Image and Video Processing · Electrical Eng. & Systems 2026-05-22 Kosuke Kurihara , Yoshihiro Maeda , Daisuke Sugimura , Takayuki Hamamoto
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