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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

Detecting 3D mask attacks to a face recognition system is challenging. Although genuine faces and 3D face masks show significantly different remote photoplethysmography (rPPG) signals, rPPG-based face anti-spoofing methods often suffer from…

Computer Vision and Pattern Recognition · Computer Science 2023-05-26 Chenglin Yao , Jianfeng Ren , Ruibin Bai , Heshan Du , Jiang Liu , Xudong Jiang

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

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…

Numerous real-world applications have been driven by the recent algorithmic advancement of artificial intelligence (AI). Healthcare is no exception and AI technologies have great potential to revolutionize the industry. Non-contact…

Computer Vision and Pattern Recognition · Computer Science 2022-02-23 Xin Liu , Shwetak Patel , Daniel McDuff

Hypertension is a potentially unsafe health ailment, which can be indicated directly from the Blood pressure (BP). Hypertension always leads to other health complications. Continuous monitoring of BP is very important; however, cuff-based…

Photoplethysmography (PPG) sensor in wearable and clinical devices provides valuable physiological insights in a non-invasive and real-time fashion. Specialized Foundation Models (FM) or repurposed time-series FMs are used to benchmark…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Saurabh Kataria , Ayca Ermis , Lovely Yeswanth Panchumarthi , Minxiao Wang , Xiao Hu

Nowadays, Hearth Rate (HR) monitoring is a key feature of almost all wrist-worn devices exploiting photoplethysmography (PPG) sensors. However, arm movements affect the performance of PPG-based HR tracking. This issue is usually addressed…

Signal Processing · Electrical Eng. & Systems 2022-10-21 Panagiotis Kasnesis , Lazaros Toumanidis , Alessio Burrello , Christos Chatzigeorgiou , Charalampos Z. Patrikakis

Recent studies showed that Photoplethysmography (PPG) sensors embedded in wearable devices can estimate heart rate (HR) with high accuracy. However, despite of prior research efforts, applying PPG sensor based HR estimation to embedded…

Machine Learning · Computer Science 2023-03-27 Yuntong Zhang , Jingye Xu , Mimi Xie , Wei Wang , Keying Ye , Jing Wang , Dakai Zhu

Camera-based physiological monitoring, such as remote photoplethysmography (rPPG), captures subtle variations in skin optical properties caused by pulsatile blood volume changes using standard digital camera sensors. The demand for…

Image and Video Processing · Electrical Eng. & Systems 2026-01-05 Nicky Nirlipta Sahoo , VS Sachidanand , Matcha Naga Gayathri , Balamurali Murugesan , Keerthi Ram , Jayaraj Joseph , Mohanasankar Sivaprakasam

This paper presents a novel method for remote heart rate (HR) estimation. Recent studies have proved that blood pumping by the heart is highly correlated to the intense color of face pixels, and surprisingly can be utilized for remote HR…

Computer Vision and Pattern Recognition · Computer Science 2020-02-13 Mohammad Sabokrou , Masoud Pourreza , Xiaobai Li , Mahmood Fathy , Guoying Zhao

This work introduces a novel DeepFake detection framework based on physiological measurement. In particular, we consider information related to the heart rate using remote photoplethysmography (rPPG). rPPG methods analyze video sequences…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Javier Hernandez-Ortega , Ruben Tolosana , Julian Fierrez , Aythami Morales

Respiratory rate (RR) is a critical health indicator often monitored under inconvenient scenarios, limiting its practicality for continuous monitoring. Photoplethysmography (PPG) sensors, increasingly integrated into wearable devices, offer…

Signal Processing · Electrical Eng. & Systems 2024-10-08 Yuyang Miao , Zehua Chen , Chang Li , Danilo Mandic

Reflective photoplethysmography (PPG) has become the default sensing technique in wearable devices to monitor cardiac activity via a person's heart rate (HR). However, PPG-based HR estimates can be substantially impacted by factors such as…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Manuel Meier , Berken Utku Demirel , Christian Holz

This paper considers the problem of casual heart rate tracking during intensive physical exercise using simultaneous 2 channel photoplethysmographic (PPG) and 3 dimensional (3D) acceleration signals recorded from wrist. This is a…

Information Theory · Computer Science 2016-09-13 Mahdi Boloursaz Mashhadi , Ehsan Asadi , Mohsen Eskandari , Shahrzad Kiani , Farrokh Marvasti

Atrial fibrillation (AF) is a leading cause of stroke and mortality, particularly in elderly patients. Wrist-worn photoplethysmography (PPG) enables non-invasive, continuous rhythm monitoring, yet suffers from significant vulnerability to…

Machine Learning · Computer Science 2025-11-04 Yangyang Zhao , Matti Kaisti , Olli Lahdenoja , Tero Koivisto

Blood pressure (BP) measurement is crucial for daily health assessment. Remote photoplethysmography (rPPG), which extracts pulse waves from face videos captured by a camera, has the potential to enable convenient BP measurement without…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Yusuke Akamatsu , Akinori F. Ebihara , Terumi Umematsu

Photoplethysmography (PPG) refers to the measurement of variations in blood volume using light and is a feature of most wearable devices. The PPG signals provide insight into the body's circulatory system and can be employed to extract…

Signal Processing · Electrical Eng. & Systems 2024-01-17 Yuyang Miao , Harry J. Davies , Danilo P. Mandic

Opto-physiological monitoring including photoplethysmography (PPG) provides non-invasive cardiac and respiratory measurements, yet motion artefacts (MAs) during physical activity degrade its signal quality and downstream estimation…

Signal Processing · Electrical Eng. & Systems 2025-11-12 Xiaoyu Zheng , Sijung Hu , Vincent Dwyer , Mahsa Derakhshani , Laura Barrett

Heart rate (HR) and heart rate variability (HRV) are important vital signs for human physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sensors can infer HR and HRV. However, it is difficult to find…

Signal Processing · Electrical Eng. & Systems 2025-05-27 Jingye Xu , Yuntong Zhang , Wei Wang , Mimi Xie , Dakai Zhu