Results 51 to 60 of about 1,258 (163)

Performance Evaluation of rPPG Approaches with and without the Region-of-Interest Localization Step

open access: yesApplied Sciences, 2021
Traditionally, the first step in physiological measurements based on remote photoplethysmography (rPPG) is localizing the region of interest (ROI) that contains a desired pulsatile information. Recently, approaches that do not require this step have been
Žan Pirnar   +2 more
doaj   +1 more source

Implementation of 1D convolutional neural network for improvement remote photoplethysmography measurement [PDF]

open access: yes, 2023
Remote photoplethysmography (rPPG) for non-contact heart rate measurement has been widely developed and shows good development. However, motion artifact due to changes in illumination and subject movement is still the main problem.
Firmansyah, Riza Agung   +3 more
core   +4 more sources

Optimizing Remote Photoplethysmography Using Adaptive Skin Segmentation for Real-Time Heart Rate Monitoring

open access: yesIEEE Access, 2019
Choosing a proper Region of Interest (ROI) for Remote Photoplethysmography (rPPG) is essential and a challenging first step, and it has a direct effect on the accuracy and reliability of the overall heart rate (HR) algorithm.
R. M. Fouad   +2 more
doaj   +1 more source

Robust Heart Rate Variability Measurement from Facial Videos

open access: yesBioengineering, 2023
Remote Photoplethysmography (rPPG) is a contactless method that enables the detection of various physiological signals from facial videos. rPPG utilizes a digital camera to detect subtle changes in skin color to measure vital signs such as heart rate ...
Ismoil Odinaev   +5 more
doaj   +1 more source

Remote heart rate monitoring - Assessment of the Facereader rPPg by Noldus.

open access: yesPLoS ONE, 2019
Remote photoplethysmography (rPPG) allows contactless monitoring of human cardiac activity through a video camera. In this study, we assessed the accuracy and precision for heart rate measurements of the only consumer product available on the market ...
Simone Benedetto   +5 more
doaj   +1 more source

Biometric Signals Estimation Using Single Photon Camera and Deep Learning

open access: yesSensors, 2020
The problem of performing remote biomedical measurements using just a video stream of a subject face is called remote photoplethysmography (rPPG). The aim of this work is to propose a novel method able to perform rPPG using single-photon avalanche diode (
Marco Paracchini   +4 more
doaj   +1 more source

Feasibility of assessing ultra-short-term pulse rate variability from video recordings [PDF]

open access: yesPeerJ, 2020
Objectives Remote photoplethysmography (rPPG) is a promising non-contact measurement technique for assessing numerous physiological parameters: pulse rate, pulse rate variability (PRV), respiratory rate, pulse wave velocity, blood saturation, blood ...
Miha Finžgar, Primož Podržaj
doaj   +2 more sources

Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG

open access: yes, 2023
Remote Photoplethysmography (rPPG) is a technology that utilizes the light absorption properties of hemoglobin, captured via camera, to analyze and measure blood volume pulse (BVP).
Chae, JongEui   +7 more
core  

Video Analytic Based Health Monitoring for Driver in Moving Vehicle by Extracting Effective Heart Rate Inducing Features

open access: yesJournal of Advanced Transportation, Volume 2018, Issue 1, 2018., 2018
We propose a novel remote heart rate (HR) estimation method using facial images based on video analytics. Most of previous methods have been demonstrated in well‐controlled indoor environments. In contrast, this paper proposes a practical video analytic framework under actual driving conditions by extracting key HR inducing features.
Kanghyu Lee   +3 more
wiley   +1 more source

A Reproducible Study on Remote Heart Rate Measurement [PDF]

open access: yes, 2017
This paper studies the problem of reproducible research in remote photoplethysmography (rPPG). Most of the work published in this domain is assessed on privately-owned databases, making it difficult to evaluate proposed algorithms in a standard and ...
Anjos, André   +2 more
core   +1 more source

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