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Remote Photoplethysmography (rPPG), or the remote monitoring of a subject's heart rate using a camera, has seen a shift from handcrafted techniques to deep learning models. While current solutions offer substantial performance gains, we…

Computer Vision and Pattern Recognition · Computer Science 2023-05-25 Nathan Vance , Jeremy Speth , Benjamin Sporrer , Patrick Flynn

Remote Photoplethysmography (rPPG) is a promising technique to monitor physiological signals such as heart rate from facial videos. However, the labeled facial videos in this research are challenging to collect. Current rPPG research is…

Computer Vision and Pattern Recognition · Computer Science 2025-02-07 Bingjie Wu , Zitong Yu , Yiping Xie , Wei Liu , Chaoqi Luo , Yong Liu , Rick Siow Mong Goh

With a surge in online medical advising remote monitoring of patient vitals is required. This can be facilitated with the Remote Photoplethysmography (rPPG) techniques that compute vital signs from facial videos. It involves processing…

Artificial Intelligence · Computer Science 2022-08-23 Amtul Haq Ayesha , Donghao Qiao , Farhana Zulkernine

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

Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body. This study presents an efficient multi-hierarchical spatio-temporal convolutional network that can quickly estimate remote physiological (rPPG)…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Bin Li , Panpan Zhang , Jinye Peng , Hong Fu

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…

Computer Vision and Pattern Recognition · Computer Science 2021-11-19 John Gideon , Simon Stent

Remote photoplethysmography (rPPG) is a method for measuring a subjects heart rate remotely using a camera. Factors such as subject movement, ambient light level, makeup etc. complicate such measurements by distorting the observed pulse.…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Alexey Protopopov

Many remote Heart Rate (HR) measurement methods focus on estimating remote photoplethysmography (rPPG) signals from video clips lasting around 10 seconds but often overlook the need for HR estimation from ultra-short video clips. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Pei-Kai Huanga , Ya-Ting Chan , Kuan-Wen Chen , Yen-Chun Chou , Shih-Yu Yang , Chiou-Ting Hsu

Remote photoplethysmography (rPPG) enables non-contact heart rate (HR) estimation from facial videos which gives significant convenience compared with traditional contact-based measurements. In the real-world long-term health monitoring…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Jianwei Li , Zitong Yu , Jingang Shi

Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating 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…

Computer Vision and Pattern Recognition · Computer Science 2019-09-04 Amogh Gudi , Marian Bittner , Roelof Lochmans , Jan van Gemert

Remote photoplethysmography (rPPG) is an innovative method for monitoring heart rate and vital signs by using a simple camera to record a person, as long as any part of their skin is visible. This low-cost, contactless approach helps in…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Zahra Maleki , Amirhossein Akbari , Amirhossein Binesh , Babak Khalaj

Camera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the peripheral blood volume pulse (BVP) via photoplethysmography, and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Xin Liu , Girish Narayanswamy , Akshay Paruchuri , Xiaoyu Zhang , Jiankai Tang , Yuzhe Zhang , Soumyadip Sengupta , Shwetak Patel , Yuntao Wang , Daniel McDuff

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

Remote photoplethysmography (rPPG) technology infers heart rate by capturing subtle color changes in facial skin using a camera, demonstrating great potential in non-contact heart rate measurement. However, measurement accuracy…

Machine Learning · Computer Science 2025-04-08 Rufei Ma , Chao Chen

The paper proposes accurate Blood Pressure Monitoring (BPM) based on a single-site Photoplethysmographic (PPG) sensor and provides an energy-efficient solution on edge cuffless wearable devices. Continuous PPG signal preprocessed and used…

Signal Processing · Electrical Eng. & Systems 2021-08-03 Wenrui Lin , Berken Utku Demirel , Mohammad Abdullah Al Faruque , G. P. Li

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

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

Blood pressure (BP) is one of the most influential bio-markers for cardiovascular diseases and stroke; therefore, it needs to be regularly monitored to diagnose and prevent any advent of medical complications. Current cuffless approaches to…

Machine Learning · Computer Science 2021-11-30 Rishi Vardhan K , Vedanth S , Poojah G , Abhishek K , Nitish Kumar M , Vineeth Vijayaraghavan

Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG) obtained from contact sensors. Recent studies have shown…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Zhaodong Sun , Xiaobai Li , Jukka Komulainen , Guoying Zhao

Measurement of the cardiac pulse from facial video has become an interesting pursuit of research over the last few years. This is mainly due to the increasing importance of obtaining the heart rate of an individual in a non-invasive manner,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-16 Bharath Ramakrishnan , Ruijia Deng