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Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e.g., heart rate) using facial videos. Recent deep learning architectures have improved the accuracy of such physiological…

Computer Vision and Pattern Recognition · Computer Science 2021-06-14 Yunhao Ba , Zhen Wang , Kerim Doruk Karinca , Oyku Deniz Bozkurt , Achuta Kadambi

This paper presents a non-contact vital signs (respiration and heartbeat) monitoring system that utilizes visible light sensing (VLS) technology. We have for the first time demonstrated the ability to wirelessly (non-contact) sense vital…

Signal Processing · Electrical Eng. & Systems 2019-12-17 Hisham Abuella , Sabit Ekin

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

rPPG (Remote photoplethysmography) is a technology that measures and analyzes BVP (Blood Volume Pulse) by using the light absorption characteristics of hemoglobin captured through a camera. Analyzing the measured BVP can derive various…

Image and Video Processing · Electrical Eng. & Systems 2023-08-21 Dae-Yeol Kim , Eunsu Goh , KwangKee Lee , JongEui Chae , JongHyeon Mun , Junyeong Na , Chae-bong Sohn , Do-Yup Kim

In recent years, considerable progress has been made in the non-contact based detection of the respiration rate from video sequences. Common techniques either directly assess the movement of the chest due to breathing or are based on…

Image and Video Processing · Electrical Eng. & Systems 2019-06-20 Fabian Schrumpf , Christoph Moench , Gerold Bausch , Mirco Fuchs

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

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

Subtle periodic signals, such as blood volume pulse and respiration, can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Jeremy Speth , Nathan Vance , Patrick Flynn , Adam Czajka

Unaddressed pain in neonates can lead to adverse effects, including delayed development and slower weight gain, emphasising the need for more objective and reliable pain assessment methods. Hence, automated methods using behavioural and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Ashutosh Dhamaniya , Anup Kumar Gupta , Trishna Saikia , Puneet Gupta

Telehealth has the potential to offset the high demand for help during public health emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG) - the problem of non-invasively estimating blood volume variations in the…

Computers and Society · Computer Science 2021-09-23 Ambareesh Revanur , Zhihua Li , Umur A. Ciftci , Lijun Yin , Laszlo A. Jeni

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

Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring. However, machine vision approaches are often limited by the availability and diversity of annotated video datasets resulting in…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Daniel McDuff , Javier Hernandez , Erroll Wood , Xin Liu , Tadas Baltrusaitis

Remote physiological measurements, e.g., remote photoplethysmography (rPPG) based heart rate (HR), heart rate variability (HRV) and respiration frequency (RF) measuring, are playing more and more important roles under the application…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Xuesong Niu , Zitong Yu , Hu Han , Xiaobai Li , Shiguang Shan , Guoying Zhao

Contact-free vital sign monitoring, which uses wireless signals for recognizing human vital signs (i.e, breath and heartbeat), is an attractive solution to health and security. However, the subject's body movement and the change in actual…

Signal Processing · Electrical Eng. & Systems 2023-04-24 Yingqi Wang , Zhongqin Wang , J. Andrew Zhang , Haimin Zhang , Min Xu

With the ongoing heart problems of the population worldwide, the medical requirements of the people are expected to increase. Electrocardiogram (ECG) is one of the proven to capture the heart response signal to assess the electrical and…

Signal Processing · Electrical Eng. & Systems 2021-09-08 Ayan Chatterjee , Sundar Gopalakrishnan , Martin Gerdes , Santiago Martinez , Nibedita Pahari , Pankaj Khatiwada

Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascular health and physiological parameters in both consumer and clinical settings. While motion artifacts in dynamic environments have been…

Human-Computer Interaction · Computer Science 2025-04-17 Manh Pham Hung , Matthew Yiwen Ho , Yiming Zhang , Dimitris Spathis , Aaqib Saeed , Dong Ma

Recent studies demonstrated that the average heart rate (HR) can be measured from facial videos based on non-contact remote photoplethysmography (rPPG). However for many medical applications (e.g., atrial fibrillation (AF) detection)…

Computer Vision and Pattern Recognition · Computer Science 2019-08-01 Zitong Yu , Xiaobai Li , Guoying Zhao

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 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

Remote photoplethysmography (rPPG) enables contactless measurement of heart rate and other vital signs by analyzing subtle color variations in facial skin induced by cardiac pulsation. Current rPPG methods are mainly based on either…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Junzhe Cao , Bo Zhao , Zhiyi Niu , Dan Guo , Yue Sun , Haochen Liang , Yong Xu , Zitong YU