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Open AccessArticle

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

1
Department of Computer Technology, University of Alicante, Carretera Sant Vicent del Raspeig s/n, 03690 Alicante, Spain
2
School of Informatics, University of Edinburgh, 10 Crichton St, Edinburgh EH8 9AB, UK
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Fuster-Guilló, A.; Azorín-López, J.; Zaragoza, J.M.C.; Pérez, L.F.P.; Saval-Calvo, M.; Fisher, R.B. 3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment. In Proceedings of 13th International Conference on Ubiquitous Computing and Ambient Intelligence UCAmI, Toledo, Spain, 2–5 December 2019, doi:10.3390/proceedings2019031053.
Sensors 2020, 20(13), 3690; https://doi.org/10.3390/s20133690
Received: 2 June 2020 / Revised: 25 June 2020 / Accepted: 29 June 2020 / Published: 1 July 2020
(This article belongs to the Special Issue Selected Papers from UCAmI 2019)
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. View Full-Text
Keywords: obesity; adherence; 3D vision; RGB-D sensors; virtual reality; human body measures; dietetic treatment obesity; adherence; 3D vision; RGB-D sensors; virtual reality; human body measures; dietetic treatment
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Fuster-Guilló, A.; Azorín-López, J.; Saval-Calvo, M.; Castillo-Zaragoza, J.M.; Garcia-D'Urso, N.; Fisher, R.B. RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments. Sensors 2020, 20, 3690.

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