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RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †

This research aims to improve dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved using multimedia technologies. However, there are few studies using 3D data and VR technologies for t...

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Autores principales: Fuster-Guilló, Andrés, Azorín-López, Jorge, Saval-Calvo, Marcelo, Castillo-Zaragoza, Juan Miguel, Garcia-D’Urso, Nahuel, Fisher, Robert B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374426/
https://www.ncbi.nlm.nih.gov/pubmed/32630202
http://dx.doi.org/10.3390/s20133690
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author Fuster-Guilló, Andrés
Azorín-López, Jorge
Saval-Calvo, Marcelo
Castillo-Zaragoza, Juan Miguel
Garcia-D’Urso, Nahuel
Fisher, Robert B.
author_facet Fuster-Guilló, Andrés
Azorín-López, Jorge
Saval-Calvo, Marcelo
Castillo-Zaragoza, Juan Miguel
Garcia-D’Urso, Nahuel
Fisher, Robert B.
author_sort Fuster-Guilló, Andrés
collection PubMed
description This research aims to improve dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved using multimedia technologies. However, there are few studies using 3D data and VR technologies for this purpose. On the other hand, obtaining 3D measurements of the human body and analyzing them over time (4D) in patients undergoing dietary treatment is a challenging field. The main contribution of the work is to provide a framework to study the effect of 4D body model visualization on adherence to obesity treatment. The system can obtain a complete 3D model of a body using low-cost technology, allowing future straightforward transference with sufficient accuracy and realistic visualization, enabling the analysis of the evolution (4D) of the shape during the treatment of obesity. The 3D body models will be used for studying the effect of visualization on adherence to obesity treatment using 2D and VR devices. Moreover, we will use the acquired 3D models to obtain measurements of the body. An analysis of the accuracy of the proposed methods for obtaining measurements with both synthetic and real objects has been carried out.
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spelling pubmed-73744262020-08-06 RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments † Fuster-Guilló, Andrés Azorín-López, Jorge Saval-Calvo, Marcelo Castillo-Zaragoza, Juan Miguel Garcia-D’Urso, Nahuel Fisher, Robert B. Sensors (Basel) Article This research aims to improve dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved using multimedia technologies. However, there are few studies using 3D data and VR technologies for this purpose. On the other hand, obtaining 3D measurements of the human body and analyzing them over time (4D) in patients undergoing dietary treatment is a challenging field. The main contribution of the work is to provide a framework to study the effect of 4D body model visualization on adherence to obesity treatment. The system can obtain a complete 3D model of a body using low-cost technology, allowing future straightforward transference with sufficient accuracy and realistic visualization, enabling the analysis of the evolution (4D) of the shape during the treatment of obesity. The 3D body models will be used for studying the effect of visualization on adherence to obesity treatment using 2D and VR devices. Moreover, we will use the acquired 3D models to obtain measurements of the body. An analysis of the accuracy of the proposed methods for obtaining measurements with both synthetic and real objects has been carried out. MDPI 2020-07-01 /pmc/articles/PMC7374426/ /pubmed/32630202 http://dx.doi.org/10.3390/s20133690 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fuster-Guilló, Andrés
Azorín-López, Jorge
Saval-Calvo, Marcelo
Castillo-Zaragoza, Juan Miguel
Garcia-D’Urso, Nahuel
Fisher, Robert B.
RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †
title RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †
title_full RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †
title_fullStr RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †
title_full_unstemmed RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †
title_short RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments †
title_sort rgb-d-based framework to acquire, visualize and measure the human body for dietetic treatments †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374426/
https://www.ncbi.nlm.nih.gov/pubmed/32630202
http://dx.doi.org/10.3390/s20133690
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