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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

Remote heart rate estimation is the measurement of heart rate without any physical contact with the subject and is accomplished using remote photoplethysmography (rPPG) in this work. rPPG signals are usually collected using a video camera…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 Eugene Lee , Evan Chen , Chen-Yi Lee

Photoplethysmography (PPG) devices are widely used for monitoring cardiovascular function. However, these devices require skin contact, which restrict their use to at-rest short-term monitoring using single-point measurements.…

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

Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have served a valuable role in the development of this technology…

Computer Vision and Pattern Recognition · Computer Science 2023-05-02 Jiankai Tang , Kequan Chen , Yuntao Wang , Yuanchun Shi , Shwetak Patel , Daniel McDuff , Xin Liu

In this paper, we propose a system that enables photoplethysmogram (PPG)-based authentication by using a smartphone camera. PPG signals are obtained by recording a video from the camera as users are resting their finger on top of the camera…

Computer Vision and Pattern Recognition · Computer Science 2020-11-06 Giulio Lovisotto , Henry Turner , Simon Eberz , Ivan Martinovic

Photoplethysmography (PPG) signals, which measure changes in blood volume in the skin using light, have recently gained attention in biometric authentication because of their non-invasive acquisition, inherent liveness detection, and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Arfina Rahman , Mahesh Banavar

This paper presents an approach to assess the perfusion of visible human tissue from RGB video files. We propose metrics derived from remote photoplethysmography (rPPG) signals to detect whether a tissue is adequately supplied with blood.…

Computer Vision and Pattern Recognition · Computer Science 2022-12-26 Benjamin Kossack , Eric Wisotzky , Peter Eisert , Sebastian P. Schraven , Brigitta Globke , Anna Hilsmann

Background: Photoplethysmography (PPG) is a non-invasive optical sensing technique widely used to capture hemodynamic information, with broad deployment in both clinical monitoring systems and wearable devices. In recent years, the…

Artificial Intelligence · Computer Science 2026-05-06 Guangkun Nie , Jiabao Zhu , Gongzheng Tang , Deyun Zhang , Shijia Geng , Qinghao Zhao , Shenda Hong

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

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

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

Photoplethysmography (PPG) signals, typically acquired from wearable devices, hold significant potential for continuous fitness-health monitoring. In particular, heart conditions that manifest in rare and subtle deviating heart patterns may…

Machine Learning · Computer Science 2023-07-14 Ramin Ghorbani , Marcel J. T. Reinders , David M. J. Tax

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) allows for the contactless estimation of physiological signals from facial videos by analyzing subtle skin color changes. However, rPPG signals are extremely susceptible to illumination changes, motion,…

Image and Video Processing · Electrical Eng. & Systems 2026-03-31 Arpan Bairagi , Rakesh Dey , Siladittya Manna , Umapada Pal

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

Remote photoplethysmography (rPPG) monitors heart rate without requiring physical contact, which allows for a wide variety of applications. Deep learning-based rPPG have demonstrated superior performance over the traditional approaches in…

Computer Vision and Pattern Recognition · Computer Science 2022-05-12 Ze Yang , Haofei Wang , Feng Lu

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

Remote photoplethysmography (rPPG) technology infers heart rate by capturing subtle color changes in facial skin using a camera, demonstrating great potential in non-contact heart rate measurement. However, measurement accuracy…

Machine Learning · Computer Science 2025-04-08 Rufei Ma , Chao Chen

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