RGB-D based framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

Andrés Fuster-Guilló, Jorge Azorín-López, Marcelo Saval-Calvo, Juan Miguel Castillo Zaragoza, Nahuel Garcia-D'Urso, Robert B Fisher

Research output: Contribution to journalArticlepeer-review


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 straight forward 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.
Original languageEnglish
Article number3690
Pages (from-to)1-20
Number of pages20
Issue number13
Publication statusPublished - 1 Jul 2020


  • obesity
  • adherence
  • 3D vision
  • RGB-D sensors
  • virtual reality
  • human body measures
  • dietetic treatment


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