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Related papers: Meta-rPPG: Remote Heart Rate Estimation Using a Tr…

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Recent advances in remote heart rate measurement, motivated by data-driven approaches, have notably enhanced accuracy. However, these improvements primarily focus on recovering the rPPG signal, overlooking the implicit challenges of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Joaquim Comas , Adria Ruiz , Federico Sukno

Remote Photoplethysmography (rPPG) is a non-contact method that uses facial video to predict changes in blood volume, enabling physiological metrics measurement. Traditional rPPG models often struggle with poor generalization capacity in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Yiping Xie , Zitong Yu , Bingjie Wu , Weicheng Xie , Linlin Shen

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

This paper briefly introduces the solutions developed by our team, HFUT-VUT, for Track 1 of self-supervised heart rate measurement in the 3rd Vision-based Remote Physiological Signal Sensing (RePSS) Challenge hosted at IJCAI 2024. The goal…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Wei Qian , Qi Li , Kun Li , Xinke Wang , Xiao Sun , Meng Wang , Dan Guo

In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications. RhythmEdge benefits over existing approaches by facilitating contact-less nature,…

Machine Learning · Computer Science 2022-08-16 Zahid Hasan , Emon Dey , Sreenivasan Ramasamy Ramamurthy , Nirmalya Roy , Archan Misra

Remote photoplethysmography (rPPG) enables contactless vital sign monitoring using standard RGB cameras. However, existing methods rely on fixed parameters optimized for particular lighting conditions and camera setups, limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Cecilia G. Morales , Fanurs Chi En Teh , Kai Li , Pushpak Agrawal , Artur Dubrawski

Hypertension is a leading risk factor for cardiovascular diseases. Traditional blood pressure monitoring methods are cumbersome and inadequate for continuous tracking, prompting the development of PPG-based cuffless blood pressure…

Signal Processing · Electrical Eng. & Systems 2024-11-20 Hui Lin , Jiyang Li , Ramy Hussein , Xin Sui , Xiaoyu Li , Guangpu Zhu , Aggelos K. Katsaggelos , Zijing Zeng , Yelei Li

Remote photoplethysmography (rPPG) emerges as a promising method for non-invasive, convenient measurement of vital signs, utilizing the widespread presence of cameras. Despite advancements, existing datasets fall short in terms of size and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Jiankai Tang , Xinyi Li , Jiacheng Liu , Xiyuxing Zhang , Zeyu Wang , Yuntao Wang

Heart rate (HR) is an essential clinical measure for the assessment of cardiorespiratory instability. Since communities of color are disproportionately affected by both COVID-19 and cardiovascular disease, there is a pressing need to deploy…

Image and Video Processing · Electrical Eng. & Systems 2020-12-10 Pradyumna Chari , Krish Kabra , Doruk Karinca , Soumyarup Lahiri , Diplav Srivastava , Kimaya Kulkarni , Tianyuan Chen , Maxime Cannesson , Laleh Jalilian , Achuta Kadambi

Non-contact video-based physiological measurement has many applications in health care and human-computer interaction. Practical applications require measurements to be accurate even in the presence of large head rotations. We propose the…

Computer Vision and Pattern Recognition · Computer Science 2018-08-09 Weixuan Chen , Daniel McDuff

Remote detection of the cardiac pulse has a number of applications in sports and medicine, and can be used to determine the physiological state of the subject. Previous approaches to estimate Heart Rate from video require the subject to…

Image and Video Processing · Electrical Eng. & Systems 2019-01-03 Arvind Subramaniam , Rajitha K

Heart Rate Variability (HRV) measures the variation of the time between consecutive heartbeats and is a major indicator of physical and mental health. Recent research has demonstrated that photoplethysmography (PPG) sensors can be used to…

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

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

We propose an end-to-end framework to measure people's vital signs including Heart Rate (HR), Heart Rate Variability (HRV), Oxygen Saturation (SpO2) and Blood Pressure (BP) based on the rPPG methodology from the video of a user's face…

Computer Vision and Pattern Recognition · Computer Science 2022-12-23 Donghao Qiao , Amtul Haq Ayesha , Farhana Zulkernine , Raihan Masroor , Nauman Jaffar

Engagement measurement finds application in healthcare, education, services. The use of physiological and behavioral features is viable, but the impracticality of traditional physiological measurement arises due to the need for contact…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Alexander Vedernikov , Zhaodong Sun , Virpi-Liisa Kykyri , Mikko Pohjola , Miriam Nokia , Xiaobai Li

Assessment of heart sounds is the cornerstone of cardiac examination, but it requires a stethoscope, skills and experience, and a direct contact with the patient. We developed a contactless, machine-learning assisted method for heart-sound…

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…

Goal: A new method for heart rate monitoring using photoplethysmography (PPG) during physical activities is proposed. Methods: It jointly estimates spectra of PPG signals and simultaneous acceleration signals, utilizing the multiple…

Other Computer Science · Computer Science 2015-07-22 Zhilin Zhang

Vital signs such as pulse rate and breathing rate are currently measured using contact probes. But, non-contact methods for measuring vital signs are desirable both in hospital settings (e.g. in NICU) and for ubiquitous in-situ health…

Computer Vision and Pattern Recognition · Computer Science 2015-03-25 Mayank Kumar , Ashok Veeraraghavan , Ashutosh Sabharval

Remote photoplethysmography (rPPG) enables non-contact physiological measurement from facial videos; however, its practical deployment is often hindered by substantial performance degradation under domain shift. While recent deep…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Ba-Thinh Nguyen , Thi-Duyen Ngo , Thanh-Trung Huynh , Thanh-Ha Le , Huy-Hieu Pham
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