Results 51 to 60 of about 1,361 (180)
Foods, 2021 Food experiences are not only driven by the food’s intrinsic properties, such as its taste, texture, and aroma, but also by extrinsic properties such as visual brand information and the consumers’ previous experiences with the foods.
Rene A. de Wijk +5 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 +2 more
doaj +1 more source
[Retracted] DTFA‐Net: Dynamic and Texture Features Fusion Attention Network for Face Antispoofing
Complexity, Volume 2020, Issue 1, 2020., 2020 For face recognition systems, liveness detection can effectively avoid illegal fraud and improve the safety of face recognition systems. Common face attacks include photo printing and video replay attacks. This paper studied the differences between photos, videos, and real faces in static texture and motion information and proposed a living detection ...
Xin Cheng +6 more
wiley +1 more source
Non-Contact Heart Rate Measurement from Deteriorated Videos [PDF]
, 2023 Remote photoplethysmography (rPPG) offers a state-of-the-art, non-contact methodology for estimating human pulse by analyzing facial videos. Despite its potential, rPPG methods can be susceptible to various artifacts, such as noise, occlusions, and other
Casado, Constantino Álvarez +4 more
core +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 +5 more
doaj +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 +4 more
doaj +1 more source
Estimating Carotid Pulse and Breathing Rate from Near-infrared Video of the Neck
, 2018 Objective: Non-contact physiological measurement is a growing research area that allows capturing vital signs such as heart rate (HR) and breathing rate (BR) comfortably and unobtrusively with remote devices.
Chen, Weixuan +2 more
core +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 +5 more
doaj +1 more source
A Reproducible Study on Remote Heart Rate Measurement [PDF]
, 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
Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG
, 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
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