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Related papers: A Robust Remote Photoplethysmography Method

200 papers

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

Remote photoplethysmography (rPPG) extracts PPG signals from subtle color changes in facial videos, showing strong potential for health applications. However, most rPPG methods rely on intensity differences between consecutive frames,…

Image and Video Processing · Electrical Eng. & Systems 2024-11-26 Kegang Wang , Jiankai Tang , Yantao Wei , Mingxuan Liu , Xin Liu , Yuntao Wang

Photoplethysmogram (PPG) signal-based blood pressure (BP) estimation is a promising candidate for modern BP measurements, as PPG signals can be easily obtained from wearable devices in a non-invasive manner, allowing quick BP measurement.…

Signal Processing · Electrical Eng. & Systems 2021-03-01 Hyeongju Kim , Woo Hyun Kang , Hyeonseung Lee , Nam Soo Kim

Remote photoplethysmography (rPPG) technique extracts blood volume pulse (BVP) signals from subtle pixel changes in video frames. This study introduces rFaceNet, an advanced rPPG method that enhances the extraction of facial BVP signals…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Dali Zhu , Wenli Zhang , Hualin Zeng , Xiaohao Liu , Long Yang , Jiaqi Zheng

Remote photoplethysmography (rPPG) measurement enables non-contact physiological monitoring but suffers from accuracy degradation under head motion and illumination changes. Existing deep learning methods are mostly heuristic and lack…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Bo Zhao , Dan Guo , Junzhe Cao , Yong Xu , Bochao Zou , Tao Tan , Yue Sun , Zitong Yu

Cardiovascular diseases remain a leading cause of mortality and disability. The convenient measurement of cardiovascular health using smart systems is therefore a key enabler to foster accurate and early detection and diagnosis of…

Signal Processing · Electrical Eng. & Systems 2025-05-21 Nima Bahmani , Dariush Salami , Hüseyin Yiğitler , Juhapekka Hietala , Tuukka Panula , Stephan Sigg

Biometric authentication prospered because of its convenient use and security. Early generations of biometric mechanisms suffer from spoofing attacks. Recently, unobservable physiological signals (e.g., Electroencephalogram,…

Cryptography and Security · Computer Science 2024-01-29 Lin Li , Chao Chen , Lei Pan , Leo Yu Zhang , Zhifeng Wang , Jun Zhang , Yang Xiang

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

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

Depression is a mental illness that may be harmful to an individual's health. The detection of mental health disorders in the early stages and a precise diagnosis are critical to avoid social, physiological, or psychological side effects.…

Computer Vision and Pattern Recognition · Computer Science 2022-06-10 Constantino Álvarez Casado , Manuel Lage Cañellas , Miguel Bordallo López

Wearable photoplethysmography (WPPG) has recently become a common technology in heart rate (HR) monitoring. General observation is that the motion artifacts change the statistics of the acquired PPG signal. Consequently, estimation of HR…

Computers and Society · Computer Science 2016-10-18 Harishchandra Dubey , Ramdas Kumaresan , Kunal Mankodiya

In this paper we develop a robust for heart rate (HR) estimation method using face video for challenging scenarios with high variability sources such as head movement, illumination changes, vibration, blur, etc. Our method employs a quality…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Javier Hernandez-Ortega , Shigenori Nagae , Julian Fierrez , Aythami Morales

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…

Recent advances in deep learning have made it increasingly feasible to estimate heart rate remotely in smart environments by analyzing videos. However, a notable limitation of deep learning methods is their heavy reliance on extensive sets…

Computer Vision and Pattern Recognition · Computer Science 2023-10-25 Divij Gupta , Ali Etemad

Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Though spatial context can provide increased physiological insight, existing PPGI…

Quantitative Methods · Quantitative Biology 2016-12-21 Robert Amelard , David A Clausi , Alexander Wong

Camera-based vital signs monitoring in recent years has attracted more and more researchers and the results are promising. However, a few research works focus on heart rate extraction under extremely low illumination environments. In this…

Image and Video Processing · Electrical Eng. & Systems 2025-03-07 Lin Xi , Xingming Wu , Weihai Chen , Jianhua Wang , Changchen Zhao

Analyzing the cardiovascular system condition via Electrocardiography (ECG) is a common and highly effective approach, and it has been practiced and perfected over many decades. ECG sensing is non-invasive and relatively easy to acquire,…

Photoplethysmography (PPG) is a cost-effective and non-invasive technique that utilizes optical methods to measure cardiac physiology. PPG has become increasingly popular in health monitoring and is used in various commercial and clinical…

Machine Learning · Computer Science 2024-06-13 Khuong Vo , Mostafa El-Khamy , Yoojin Choi

Heart rate monitoring using wrist-type photoplethysmographic (PPG) signals during subjects' intensive exercise is a difficult problem, since the signals are contaminated by extremely strong motion artifacts caused by subjects' hand…

Computers and Society · Computer Science 2015-02-09 Zhilin Zhang , Zhouyue Pi , Benyuan Liu

This paper presents a comparative evaluation of methods for remote heart rate estimation using face videos, i.e., given a video sequence of the face as input, methods to process it to obtain a robust estimation of the subjects heart rate at…

Computer Vision and Pattern Recognition · Computer Science 2020-05-25 Javier Hernandez-Ortega , Julian Fierrez , Aythami Morales , David Diaz