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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…

计算机视觉与模式识别 · 计算机科学 2022-05-12 Ze Yang , Haofei Wang , Feng Lu

Smartphones have ubiquitously integrated into our home and work environments, however, users normally rely on explicit but inefficient identification processes in a controlled environment. Therefore, when a device is stolen, a thief can…

密码学与安全 · 计算机科学 2020-09-25 Muhammad Ahmad , Ali Kashif Bashir , Adil Mehmood Khan , Manuel Mazzara , Salvatore Distefano , Shahzad Sarfraz

We present the findings of an experimental study whereby we correlate the changes in the morphology of the photoplethysmography (PPG) signal to healthy aging. Under this pretext, we estimate the biological age of a person as well as the age…

Camera-based contactless photoplethysmography refers to a set of popular techniques for contactless physiological measurement. The current state-of-the-art neural models are typically trained in a supervised manner using videos accompanied…

计算机视觉与模式识别 · 计算机科学 2022-04-25 Xin Liu , Yuntao Wang , Sinan Xie , Xiaoyu Zhang , Zixian Ma , Daniel McDuff , Shwetak Patel

Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can be susceptible to various artifacts, such as noise,…

计算机视觉与模式识别 · 计算机科学 2023-05-01 Nhi Nguyen , Le Nguyen , Constantino Álvarez Casado , Olli Silvén , Miguel Bordallo López

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…

图像与视频处理 · 电气工程与系统科学 2026-05-22 Kosuke Kurihara , Yoshihiro Maeda , Daisuke Sugimura , Takayuki Hamamoto

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…

计算机与社会 · 计算机科学 2016-10-18 Harishchandra Dubey , Ramdas Kumaresan , Kunal Mankodiya

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…

Remote Photoplethysmography (rPPG) is the process of estimating PPG from facial videos. While this approach benefits from contactless interaction, it is reliant on videos of faces, which often constitutes an important privacy concern.…

计算机视觉与模式识别 · 计算机科学 2023-06-05 Divij Gupta , Ali Etemad

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…

计算机视觉与模式识别 · 计算机科学 2024-04-09 Jiankai Tang , Xinyi Li , Jiacheng Liu , Xiyuxing Zhang , Zeyu Wang , Yuntao Wang

The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring. In this work we propose a new approach to remote photoplethysmography (rPPG) - the measurement of blood volume…

计算机视觉与模式识别 · 计算机科学 2021-11-19 John Gideon , Simon Stent

Remote photoplethysmography (rPPG) is a non-contact technique for measuring cardiac signals from facial videos. High-quality rPPG pulse signals are urgently demanded in many fields, such as health monitoring and emotion recognition.…

图像与视频处理 · 电气工程与系统科学 2020-06-05 Rencheng Song , Huan Chen , Juan Cheng , Chang Li , Yu Liu , Xun Chen

Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports. Our work proposes a set of pipelines to extract remote PPG signals (rPPG) from the face robustly, reliably, and…

计算机视觉与模式识别 · 计算机科学 2023-05-08 Constantino Álvarez Casado , Miguel Bordallo López

Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the accurate measurement of vital signs in real-world scenarios…

计算机视觉与模式识别 · 计算机科学 2024-05-03 Nhi Nguyen , Le Nguyen , Honghan Li , Miguel Bordallo López , Constantino Álvarez Casado

Heart rate is a physiological signal that provides information about an individual's health and affective state. Remote photoplethysmography (rPPG) allows the estimation of this signal from video recordings of a person's face. Classical…

机器学习 · 计算机科学 2025-03-18 Bhargav Acharya , William Saakyan , Barbara Hammer , Hanna Drimalla

Remote photo-plethysmography (rPPG) uses a camera to estimate a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psychological conditions…

计算机视觉与模式识别 · 计算机科学 2021-01-01 Amogh Gudi , Marian Bittner , Jan van Gemert

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,…

图像与视频处理 · 电气工程与系统科学 2026-03-31 Arpan Bairagi , Rakesh Dey , Siladittya Manna , Umapada Pal

Remote estimation of vital signs enables health monitoring for situations in which contact-based devices are either not available, too intrusive, or too expensive. In this paper, we present a modular, interpretable pipeline for pulse signal…

计算机视觉与模式识别 · 计算机科学 2025-03-24 Vineet R. Shenoy , Shaoju Wu , Armand Comas , Tim K. Marks , Suhas Lohit , Hassan Mansour

Clinical laboratory tests provide essential biochemical measurements for diagnosis and treatment, but are limited by intermittent and invasive sampling. In contrast, photoplethysmogram (PPG) is a non-invasive, continuously recorded signal…

This paper is targeted in the area of biometric data enabled security system based on the machine learning for the digital health. The disadvantages of traditional authentication systems include the risks of forgetfulness, loss, and theft.…

密码学与安全 · 计算机科学 2019-12-03 Amang Song-Kyoo Kim , Chan Yeob Yeun , Paul D. Yoo