Results 71 to 80 of about 1,361 (180)
Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning
IET Wireless Sensor Systems, Volume 15, Issue 1, January/December 2025.This review article presents a comprehensive examination of contactless health monitoring techniques utilising machine learning (ML) and deep learning (DL) algorithms for the assessment of critical vital signs. ABSTRACT Vital signs are crucial indicators of an individual's physiological well‐being and represent one of the primary evaluations conducted ...
Alaa Hajr +3 more
wiley +1 more source
A Wearable Bracelet for Simultaneous Monitoring of Transcutaneous Carbon Dioxide and Pulse Rates
Advanced Electronic Materials, Volume 10, Issue 5, May 2024.This study introduces a wearable bracelet that simultaneously detects transcutaneous carbon dioxide and pulse rate, which serves as crucial biochemical and biophysical signals for chronic disease patients. The wearable bracelet exhibits exceptional sensitivity, selectivity, and anti‐humidity interference.
Yaoxuan Cui +7 more
wiley +1 more source
, 2023 Remote photoplethysmography (rPPG) based physiological measurement is an emerging yet crucial vision task, whose challenge lies in exploring accurate rPPG prediction from facial videos accompanied by noises of illumination variations, facial occlusions ...
Guo, Dan +4 more
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IET Biometrics, Volume 2024, Issue 1, 2024.Deepfake (DF) involves utilizing artificial intelligence (AI) technology to synthesize or manipulate images, voices, and other human or object data. However, recent times have seen a surge in instances of DF technology misuse, raising concerns about cybercrime and the credibility of manipulated information.
Byeong Seon An +4 more
wiley +1 more source
Dedicated Exposure Control for Remote Photoplethysmography
IEEE Access, 2020 This paper aims to show that control of exposure time during video capture will improve the accuracy of remote photoplethysmography (rPPG). We propose a purpose specific exposure control algorithm for use in heart rate estimation via rPPG applicable for ...
Jordan Laurie +3 more
doaj +1 more source
Scientific Reports, 2022 Atrial fibrillation (AF) is often asymptomatic and paroxysmal. Screening and monitoring are needed especially for people at high risk. This study sought to use camera-based remote photoplethysmography (rPPG) with a deep convolutional neural network (DCNN)
Yu Sun +6 more
doaj +1 more source
De-identification of facial videos while preserving remote physiological utility [PDF]
, 2023 Remote photoplethysmography has great potential in future telemedicine and affective computing, but contains sensitive biometric data, making privacy protection essential for future applications.
Savic, Marko, Zhao, Guoying
core
Biometric Authentication Based on Enhanced Remote Photoplethysmography Signal Morphology [PDF]
Remote photoplethysmography (rPPG) is a non-contact method for measuring cardiac signals from facial videos, offering a convenient alternative to contact photoplethysmography (cPPG) obtained from contact sensors.
Komulainen, Jukka +3 more
core +1 more source
Influences on rPPG-Based Spatial Blood Perfusion Maps
Current Directions in Biomedical EngineeringRecent studies show the feasibility of using local remote photoplethysmography (rPPG) for non-contact blood perfusion assessment by creating spatial pulsatile blood perfusion maps. While global rPPG has been widely studied for its robustness, e.g.
Kobel Svenja Nicola +7 more
doaj +1 more source
, 2023 Video-based remote physiological measurement utilizes facial videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG).
Li, Xiaobai, Sun, Zhaodong
core