Results 181 to 190 of about 3,566 (223)
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PhysLight: Accurate rPPG Heart Rate Measurement with Adaptive Video Relighting
IEEE International Conference on Multimedia and ExpoFacial video-based remote physiological measurement (rPPG) can non-invasively estimate vital signs, such as heart rate (HR), which often faces challenges under varying lighting conditions.
Menglin Zhang +5 more
semanticscholar +1 more source
IEEE International Conference on Bioinformatics and Biomedicine
Accurate extraction of Remote Photoplethysmography (rPPG) signals from video data is critical for medical applications such as remote patient monitoring. However, the process is hindered by significant challenges, including noise interference, occlusions,
Zhengxuan Chen +5 more
semanticscholar +1 more source
Accurate extraction of Remote Photoplethysmography (rPPG) signals from video data is critical for medical applications such as remote patient monitoring. However, the process is hindered by significant challenges, including noise interference, occlusions,
Zhengxuan Chen +5 more
semanticscholar +1 more source
Global Conference on Consumer Electronics
With the increasing prevalence of surveillance systems and heightened public safety concerns, there is a growing demand for integrating contactless health monitoring into transit environments such as metro and high-speed rail stations.
Hsuan-Chi Ku +3 more
semanticscholar +1 more source
With the increasing prevalence of surveillance systems and heightened public safety concerns, there is a growing demand for integrating contactless health monitoring into transit environments such as metro and high-speed rail stations.
Hsuan-Chi Ku +3 more
semanticscholar +1 more source
Applied Sciences
Reliable analysis of remote photoplethysmography (rPPG) signals depends on identifying physiologically plausible pulses. Traditional approaches rely on clustering self-similar pulses, which can discard valid variability.
L. D. van Putten +2 more
semanticscholar +1 more source
Reliable analysis of remote photoplethysmography (rPPG) signals depends on identifying physiologically plausible pulses. Traditional approaches rely on clustering self-similar pulses, which can discard valid variability.
L. D. van Putten +2 more
semanticscholar +1 more source
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex Scenarios
arXiv.orgRemote 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 significantly decreases in
Rufei Ma, Chao Chen
semanticscholar +1 more source
European Signal Processing Conference
Remote Photoplethysmography (rPPG) has emerged as a promising technique for assessing Pulse Rate Variability (PRV) using standard video cameras.
Marc Escrig-Villalonga +3 more
semanticscholar +1 more source
Remote Photoplethysmography (rPPG) has emerged as a promising technique for assessing Pulse Rate Variability (PRV) using standard video cameras.
Marc Escrig-Villalonga +3 more
semanticscholar +1 more source
A Multi-modal Fusion Framework for rPPG Prediction
2025 12th International Conference on Soft Computing & Machine Intelligence (ISCMI)The current era is witnessing a prominent increase in number of research on non-contact type cardiovascular signal prediction. Remote Photoplethysmography (rPPG) is one of the blood volume pulse (BVP) prediction methods which estimates the signal from ...
Thrishna S Nair +2 more
semanticscholar +1 more source
Remote photoplethysmography (rPPG) based learning fatigue detection
Applied Intelligence, 2023Liang Zhao +7 more
openaire +1 more source
2025 10th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
Unmanned aerial vehicles (UAVs) are widely deployed in rescue operations in mountainous areas for terrain mapping, victim search, and material delivery.
Xiang-Shun Yang, Chi-Hung Wang
semanticscholar +1 more source
Unmanned aerial vehicles (UAVs) are widely deployed in rescue operations in mountainous areas for terrain mapping, victim search, and material delivery.
Xiang-Shun Yang, Chi-Hung Wang
semanticscholar +1 more source
Non-Contact Vital Prediction Using rPPG Signals
2023 IEEE International Conference on Contemporary Computing and Communications (InC4), 2023Meghna Madhu +4 more
openaire +1 more source