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.

中文翻译：

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基于RGB-D的框架，用于获取，可视化和测量人体以进行营养治疗。

这项研究旨在使用最新的RGB-D传感器和虚拟现实（VR）技术来改善饮食营养治疗。最近的研究表明，使用多媒体技术可以改善对治疗的依从性。但是，很少有研究为此目的使用3D数据和VR技术。另一方面，获得人体3D测量值并在接受饮食治疗的患者中随时间推移（4D）分析它们是一个充满挑战的领域。这项工作的主要贡献是提供一个框架，以研究4D人体模型可视化对肥胖治疗依从性的影响。该系统可以使用低成本技术获得人体的完整3D模型，从而可以以足够的准确性和逼真的可视化效果实现未来的直接转移，能够分析肥胖症治疗过程中形状的演变（4D）。3D人体模型将用于研究可视化对使用2D和VR设备进行肥胖治疗的依从性的影响。此外，我们将使用获取的3D模型获得人体测量值。已经对所提出的用于获得合成对象和真实对象的测量值的方法的准确性进行了分析。