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Continuous Pulse Rate Monitoring from Facial Video Using rPPG

2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020
Cardiovascular activity causes some imperceptible changes in different regions of human body. These changes set the stage for isolated systolic hypertension, diastolic dysfunction and heart failure, atrioventricular conduction defects and aorta valve calcification.
Kokila Bharti Jaiswal, T. Meenpal
openaire   +1 more source

ConDiff-rPPG: Robust Remote Physiological Measurement to Heterogeneous Occlusions

IEEE Journal of Biomedical and Health Informatics
Remote photoplethysmography (rPPG) is a contactless technique that facilitates the measurement of physiological signals and cardiac activities through facial video recordings. This approach holds tremendous potential for various applications. However, existing rPPG methods often did not account for different types of occlusions that commonly occur in ...
Jiyao Wang   +4 more
openaire   +2 more sources

TU-rPPG: A Novel Unsupervised Network for Heart Rate Estimation

2025 19th International Conference on Complex Medical Engineering (CME)
Recently, several studies have proposed contactless measurement methods based on unsupervised learning, but their studies have been limited to controlled laboratory scenarios.
W. Christopher Long   +2 more
semanticscholar   +1 more source

Utilizing rPPG Signal Synchronization and Deep Learning Techniques for Deepfake Video Detection

IEEE Access
As deepfake technology advances, it poses increasing risks by blurring the line between reality and manipulated content. This challenge particularly threatens the integrity of information in contexts such as propaganda and misinformation. To address this,
A. Susi   +2 more
semanticscholar   +1 more source

Enhanced Vascular Perfusion Mapping and Heart Rate Estimation via Spatio-Temporal rPPG with Optical and Motion Compensation Techniques.

Biomedical engineering and physics express
Remote photoplethysmography (rPPG) offers a non-contact method for monitoring physiological signals using camera-based systems. The goal of this research is to estimate heart rate and spatial distributions of vascular perfusion using spatio-temporal rPPG
F. Farhan
semanticscholar   +1 more source

Enhancing Female Representation in Automotive Research: GAN-driven rPPG Signal Synthesis

International Symposium on INnovations in Intelligent SysTems and Applications
This paper presents a novel application of Generative Adversarial Networks (GANs) to synthesize remote Photoplethysmography (rPPG) signals, with a focus on enhancing female representation in automotive research datasets.
Soha G. Ahmed   +4 more
semanticscholar   +1 more source

WAVELET-BASED rPPG SIGNAL ANALYSIS: CWT FOR SPECTRAL PEAK LOCALIZATION AND IDENTIFICATION WITH PULSE OXIMETER VALIDATION Primary

Measuring Equipment and Metrology
Remote photoplethysmography (rPPG) has become a promising non-contact technology for cardiovascular monitoring, but the accuracy of spectral peak detection remains unpredictable due to motion artifacts, noise, and camera signal quality.
Ihor Berezhnyi, Adrian Nakonechnyi
semanticscholar   +1 more source

Towards cross-modal facial emotion recognition with rPPG and 3D facial depth

International Conference on Advances in Computer Science, Information Technology and Communications
Emotion recognition technology uses computer vision and machine learn to analyze facial expressions, aiming to automatically classify emotions such as sadness, joy, and surprise. Traditional methods focus mainly on extracting appearance features from 2D,
Chao Zhang   +5 more
semanticscholar   +1 more source

Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement

arXiv.org
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.
Ba-Thinh Nguyen   +4 more
semanticscholar   +1 more source

Adaptive Multi-ROI Spectral Analysis and Signal Quality Weighting for Respiratory Rate Estimation using rPPG Method

International Conference on Control, Automation and Systems
Respiratory rate (RR) is a vital clinical parameter that can indicate a patient's health condition. Existing rPPG methods often suffer from motion artifacts, uneven illumination, and reliance on a single region of interest (ROI), limiting their ...
Sreya Deb Srestha   +2 more
semanticscholar   +1 more source

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