Results 11 to 20 of about 119 (85)

Spotting micro‐movements in image sequence by introducing intelligent cubic‐LBP

open access: yesIET Image Processing, Volume 16, Issue 14, Page 3814-3830, 11 December 2022., 2022
Abstract Invisible to naked human eyes, micro‐movements are barely noticeable. There are wide ranges of micro‐movement applications from spotting subtle changes in a volcano, vascular pulse, and blood vessel to micro‐expression detection. In the latter, some evil thoughts can be unveiled, resulting in identifying crooks and lawbreakers and it arises ...
Vida Esmaeili   +2 more
wiley   +1 more source

Heart Rate Variability Extraction From Videos Signals: ICA vs. EVM Comparison

open access: yesIEEE Access, 2017
Medical researchers have always been interested in heart rate (HR) and heart rate variability (HRV) analysis. However, nowadays, investigators from a variety of other fields are also probing the subject.
Karim Alghoul   +3 more
doaj   +1 more source

Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices

open access: yesSensors, 2017
Contactless detection is one of the new frontiers of technological innovation in the field of healthcare, enabling unobtrusive measurements of biomedical parameters. Compared to conventional methods for Heart Rate (HR) detection that employ expensive and/
Ennio Gambi   +9 more
doaj   +1 more source

Invisible Color Variations of Facial Erythema: A Novel Early Marker for Diabetic Complications?

open access: yesJournal of Diabetes Research, Volume 2019, Issue 1, 2019., 2019
Aim. (1) To quantify the invisible variations of facial erythema that occur as the blood flows in and out of the face of diabetic patients, during the blood pulse wave using an innovative image processing method, on videos recorded with a conventional digital camera and (2) to determine whether this “unveiled” facial red coloration and its periodic ...
Victoria Blanes-Vidal   +5 more
wiley   +1 more source

Monitoring Infants by Automatic Video Processing

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2016
This work has, as its objective, the development of non-invasive and low-cost systems for monitoring and automatic diagnosing specific neonatal diseases by means of the analysis of suitable video signals.
Luca Cattani
doaj   +1 more source

MC-EVM: A Movement-Compensated EVM Algorithm with Face Detection for Remote Pulse Monitoring

open access: yesApplied Sciences
Automated tasks, mainly in the biomedical field, help to develop new technics to provide faster solutions for monitoring patients’ health status. For instance, they help to measure different types of human bio-signal, perform fast data analysis, and ...
Abdallah Benhamida, Miklos Kozlovszky
doaj   +1 more source

Contactless Pulse Rate Assessment: Results and Insights for Application in Driving Simulators

open access: yesApplied Sciences
Remote photoplethysmography (rPPG) offers a promising solution for non-contact driver monitoring by detecting subtle blood flow-induced facial color changes from video. However, motion artifacts in dynamic driving environments remain key challenges. This
Đorđe D. Nešković   +3 more
doaj   +1 more source

Deflection Measurement System in Flexible Bars Using Eulerian Video Magnification (EVM) Method

open access: yesJournal of Engineering and Science
Deflection testing plays a pivotal role in assessing a material’s elasticity, which directly influences the safety and operational reliability of engineering structures. This study develops and evaluates a deflection measurement system employing a flexible bar test apparatus, integrating the Eulerian Video Magnification (EVM) technique.
Muhammad Rayyan   +2 more
openaire   +1 more source

Non-Contact Blood Pressure Estimation Using Forehead and Palm Infrared Video

open access: yesBioMedInformatics
This study investigates the potential of low-cost infrared cameras for non-contact monitoring of blood pressure (BP) in individuals with fragile health, particularly the elderly. Previous research has shown success in developing non-contact BP monitoring
Thomas Stogiannopoulos   +1 more
doaj   +1 more source

Contactless Health Monitoring: An Overview of Video‐Based Techniques Utilising Machine/Deep Learning

open access: yesIET 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

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