Results 131 to 140 of about 1,600 (150)

LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams [PDF]

Biomedical Signal Processing and Control
A method to accurately estimate physiological signals from video streams at a minimal cost is invaluable. The importance of such a technique in pre-clinical health monitoring cannot be understated.
Amith Khandakar, Md Nazmul Islam Shuzan, Sakib Mahmud   +2 more
exaly   +2 more sources

Assessment of ROI Selection for Facial Video-Based rPPG

Sensors, 2021
In general, facial image-based remote photoplethysmography (rPPG) methods use color-based and patch-based region-of-interest (ROI) selection methods to estimate the blood volume pulse (BVP) and beats per minute (BPM).
Chae-Bong Sohn, Kwangkee Lee, Dae Yeol Kim   +2 more
exaly   +2 more sources

DD-rPPGNet: De-Interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation [PDF]

IEEE Transactions on Information Forensics and Security
Remote Photoplethysmography (rPPG) aims to measure physiological signals and Heart Rate (HR) from facial videos. Recent unsupervised rPPG estimation methods have shown promising potential in estimating rPPG signals from facial regions without relying on ...
Chiou-Ting Hsu, Tzu-Hsien Chen, Pei-Kai Huang   +2 more
exaly   +2 more sources

Exploiting Spatial Redundancy of Image Sensor for Motion Robust rPPG [PDF]

IEEE Transactions on Biomedical Engineering, 2015
Remote photoplethysmography (rPPG) techniques can measure cardiac activity by detecting pulse-induced colour variations on human skin using an RGB camera.
Wenjin Wang, Sander Stuijk, Gerard De Haan   +2 more
exaly   +4 more sources

Fully test-time rPPG estimation via synthetic signal-guided feature learning

Pattern Recognition
Many remote photoplethysmography (rPPG) estimation models have achieved promising performance in the training domain but often fail to accurately estimate physiological signals or heart rates (HR) in the target domains.
Chiou-Ting Hsu, Tzu-Hsien Chen, Pei-Kai Huang   +2 more
exaly   +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.
Ying-Cong Chen, Dengbo He, Jiyao Wang
exaly   +2 more sources

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Deep Super-Resolution Network for rPPG Information Recovery and Noncontact Heart Rate Estimation

IEEE Transactions on Instrumentation and Measurement, 2021
Youtao Zhang, Zhili Li, Yang Shanlin
exaly  

Mask Attack Detection Using Vascular-Weighted Motion-Robust rPPG Signals

IEEE Transactions on Information Forensics and Security, 2023
Jiang Liu, Heshan Du, Xudong Jiang
exaly  

Self-Supervised RGB-NIR Fusion Video Vision Transformer Framework for rPPG Estimation

IEEE Transactions on Instrumentation and Measurement, 2022
Bo-Kyeong Kim, Suh-Yeon Dong, Soyeon Park   +2 more
exaly  

Time–Frequency Learning Framework for rPPG Signal Estimation Using Scalogram-Based Feature Map of Facial Video Data

IEEE Transactions on Instrumentation and Measurement, 2023
Mousumi Das, LN Sharma, Manas Kamal Bhuyan   +2 more
exaly