Results 41 to 50 of about 828,391 (140)

Remote photoplethysmography : advancing robustness, privacy and security [PDF]

Remote photoplethysmography (rPPG) offers a non-contact method for extracting physiological signals from facial videos, presenting a promising alternative to traditional contact-based techniques.
Savic, Marko
core   +1 more source

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

IEEE 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, Osama A. Omer, Moustafa H. Aly   +2 more
doaj   +1 more source

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

Applied 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, Miha Finžgar, Primož Podržaj   +2 more
doaj   +1 more source

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

PLoS 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, Christian Caldato, Darren C Greenwood, Nicola Bartoli, Virginia Pensabene, Paolo Actis   +5 more
doaj   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Monitoring and assessment for obstructive sleep apnea

FlexMat, EarlyView.
This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu, Feifei Lin, Shujiao Chen, Zhen You, Shujing Zhu, Weiwei Zhao, Qiang Zhao   +6 more
wiley   +1 more source

Biometric Signals Estimation Using Single Photon Camera and Deep Learning

Sensors, 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, Marco Marcon, Federica Villa, Franco Zappa, Stefano Tubaro   +4 more
doaj   +1 more source

Robust Heart Rate Variability Measurement from Facial Videos

Bioengineering, 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, Kwan Long Wong, Jing Wei Chin, Raghav Goyal, Tsz Tai Chan, Richard H. Y. So   +5 more
doaj   +1 more source

Photoplethysmography for Measuring Cognitive Load in XR Environments: A Systematic Review

Advanced Sensor Research, Volume 5, Issue 3, March 2026.
ABSTRACT Photoplethysmography (PPG) is a low‐cost, low‐power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self‐reports
Alya Alshehhi, Qammer H.Abbasi, Rami Ghannam   +2 more
wiley   +1 more source

LieRHRV system for remote lie detection using heart rate variability parameters

Scientific Reports
The standard polygraph, or lie detector, is limited by its reliance on average heart rate, subjective examiner interpretation, and the need for direct subject contact.
Moran Davoodi, Nitay Aspis, Yael Drori, Ido Weiser-Bitoun, Yael Yaniv   +4 more
doaj   +1 more source