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

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Title: RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments
Authors: Fuster-Guilló, Andrés | Azorin-Lopez, Jorge | Saval-Calvo, Marcelo | Castillo Zaragoza, Juan Miguel | Garcia-D’Urso, Nahuel | Fisher, Robert B.
Research Group/s: Arquitecturas Inteligentes Aplicadas (AIA) | Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Obesity | Adherence | 3D vision | RGB-D sensors | Virtual reality | Human body measures | Dietetic treatment
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 1-Jul-2020
Publisher: MDPI
Citation: Fuster-Guilló A, Azorín-López J, Saval-Calvo M, Castillo-Zaragoza JM, Garcia-D’Urso N, Fisher RB. RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments. Sensors. 2020; 20(13):3690. doi:10.3390/s20133690
Abstract: 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.
Sponsor: This work has been partially funded by the Spanish Government TIN2017-89069-R grant supported with Feder funds.
URI: http://hdl.handle.net/10045/107849
ISSN: 1424-8220
DOI: 10.3390/s20133690
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 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/).
Peer Review: si
Publisher version: https://doi.org/10.3390/s20133690
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