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Facial video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e.g. heart rate, respiration frequency) from rPPG signals. Recent…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Zijie Yue , Miaojing Shi , Shuai Ding

Wearable physiological monitors are ubiquitous, and photoplethysmography (PPG) is the standard low-cost sensor for measuring cardiac activity. Metrics such as inter-beat interval (IBI) and pulse-rate variability (PRV) -- core markers of…

Other Computer Science · Computer Science 2025-10-08 Yuna Watanabe , Natasha Yamane , Aarti Sathyanarayana , Varun Mishra , Matthew S. Goodwin

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…

Computer Vision and Pattern Recognition · Computer Science 2021-01-01 Amogh Gudi , Marian Bittner , Jan van Gemert

Remote photoplethysmography (rPPG) is an emerging contactless physiological sensing technique that leverages subtle color variations in facial videos to estimate vital signs such as heart rate and respiratory rate. This non-invasive method…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Ba-Thinh Nguyen , Thach-Ha Ngoc Pham , Hoang-Long Duc Nguyen , Thi-Duyen Ngo , Thanh-Ha Le

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

The reliability of the results of self monitoring of the vitals in the wild using medical devices or wearables or camera based smart phone solutions is subject to variabilities such as position of placement, hardware of the device and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-01 Nikhil S. Narayan , Shashanka B. R. , Rohit Damodaran , Chandrashekhar Jayaram , M. A. Kareem , Mamta P. , Saravanan K. R. , Monu Krishnan , Raja Indana

Stress is one of the main issues of nowadays lifestyle. If it becomes chronic it can have adverse effects on the human body. Thus, the early detection of stress is crucial to prevent its hurting effects on the human body and have a…

Machine Learning · Computer Science 2024-10-17 Yasin Hasanpoor , Bahram Tarvirdizadeh , Khalil Alipour , Mohammad Ghamari

The local beat-to-beat local pulse pressure (PP) and blood pressure waveform of arteries, especially central arteries, are important indicators of the course of cardiovascular diseases (CVDs). Nevertheless, noninvasive measurement of them…

Signal Processing · Electrical Eng. & Systems 2023-05-30 Lirui Xu , Pang Wu , Pan Xia , Fanglin Geng , Peng Wang , Xianxiang Chen , Zhenfeng Li , Lidong Du , Shuping Liu , Li Li , Hongbo Chang , Zhen Fang

In this work, we present the Senbiosys blood pressure monitoring algorithm (SB-BPM) that solely requires a photoplethysmography (PPG) signal. The technology is based on pulse wave analysis (PWA) of PPG signals retrieved from different body…

Medical Physics · Physics 2021-11-22 Serj Haddad , Assim Boukhayma , Antonino Caizzone

Remote photoplethysmography (rPPG) enables contactless measurement of heart rate and other vital signs by analyzing subtle color variations in facial skin induced by cardiac pulsation. Current rPPG methods are mainly based on either…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Junzhe Cao , Bo Zhao , Zhiyi Niu , Dan Guo , Yue Sun , Haochen Liang , Yong Xu , Zitong YU

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.…

Image and Video Processing · Electrical Eng. & Systems 2020-06-05 Rencheng Song , Huan Chen , Juan Cheng , Chang Li , Yu Liu , Xun Chen

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

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

The measurement of the pulse wave has proven to be a vital tool in medical diagnosis. Whereby most pulse wave measurements are carried out at extremities, this work proposes a system for measuring the pulse wave and the Pulse Arrival Time…

Camera-based photoplethysmography (PPG) obtained from smartphones has shown great promise for personalized healthcare and secure authentication. This paper presents a multimodal biometric system that integrates PPG signals extracted from…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Xue Xian Zheng , M. M. Ur Rahma , Bilal Taha , Mudassir Masood , Dimitrios Hatzinakos , Tareq Al-Naffouri

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…

Computer Vision and Pattern Recognition · Computer Science 2024-05-03 Nhi Nguyen , Le Nguyen , Honghan Li , Miguel Bordallo López , Constantino Álvarez Casado

The growing integration of smart environments and low-power computing devices, coupled with mass-market sensor technologies, is driving advancements in remote and non-contact physiological monitoring. However, deploying these systems in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-27 Constantino Álvarez Casado , Sasan Sharifipour , Manuel Lage Cañellas , Nhi Nguyen , Le Nguyen , Miguel Bordallo López

Hypertension is commonly referred to as the "silent killer", since it can lead to severe health complications without any visible symptoms. Early detection of hypertension is crucial in preventing significant health issues. Although some…

Signal Processing · Electrical Eng. & Systems 2023-08-07 Navid Hasanzadeh , Shahrokh Valaee , Hojjat Salehinejad

Egocentric vision systems aim to understand the spatial surroundings and the wearer's behavior inside it, including motions, activities, and interactions. We argue that egocentric systems must additionally detect physiological states to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Björn Braun , Rayan Armani , Manuel Meier , Max Moebus , Christian Holz

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
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