3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment
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Campo DC | Valor | Idioma |
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dc.contributor | Arquitecturas Inteligentes Aplicadas (AIA) | es_ES |
dc.contributor | Informática Industrial y Redes de Computadores | es_ES |
dc.contributor.author | Fuster-Guilló, Andrés | - |
dc.contributor.author | Azorin-Lopez, Jorge | - |
dc.contributor.author | Castillo Zaragoza, Juan Miguel | - |
dc.contributor.author | Pérez Pérez, Luis Fernando | - |
dc.contributor.author | Saval-Calvo, Marcelo | - |
dc.contributor.author | Fisher, Robert B. | - |
dc.contributor.other | Universidad de Alicante. Departamento de Tecnología Informática y Computación | es_ES |
dc.date.accessioned | 2019-11-27T09:47:12Z | - |
dc.date.available | 2019-11-27T09:47:12Z | - |
dc.date.issued | 2019-11-20 | - |
dc.identifier.citation | Fuster-Guilló A, Azorín-López J, Zaragoza JMC, Pérez LFP, Saval-Calvo M, Fisher RB. 3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment. Proceedings. 2019; 31(1):53. doi:10.3390/proceedings2019031053 | es_ES |
dc.identifier.issn | 2504-3900 | - |
dc.identifier.uri | http://hdl.handle.net/10045/99429 | - |
dc.description.abstract | This research aims to improve adherence to dietetic-nutritional treatment using state-of-the-art RGB-D sensor and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved by using multimedia technologies which impact on the body awareness of patients. However, there are no studies published to date using 3D data and VR technologies for this purpose. This paper describes a system capable of obtaining the complete 3D model of a body with high accuracy and a realistic visualization for 2D and VR devices to be used for studying the effect of 3D technologies on adherence to obesity treatment. | es_ES |
dc.description.sponsorship | This work has been partially funded by the Spanish Government TIN2017-89069-R grant supported with Feder funds. | es_ES |
dc.language | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | © 2019 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/). | es_ES |
dc.subject | Obesity | es_ES |
dc.subject | Adherence | es_ES |
dc.subject | 3D vision | es_ES |
dc.subject | RGB-D sensors | es_ES |
dc.subject | Virtual reality | es_ES |
dc.subject.other | Arquitectura y Tecnología de Computadores | es_ES |
dc.title | 3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.3390/proceedings2019031053 | - |
dc.relation.publisherversion | https://doi.org/10.3390/proceedings2019031053 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-89069-R | - |
Aparece en las colecciones: | INV - AIA - Artículos de Revistas INV - I2RC - Artículos de Revistas |
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2019_Fuster-Guillo_etal_Proceedings.pdf | 1,38 MB | Adobe PDF | Abrir Vista previa | |
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