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

TL;DR

This paper presents a low-cost RGB-D and VR-based framework for acquiring, visualizing, and measuring the human body in 3D and 4D to improve adherence to obesity treatment through enhanced visualization and analysis.

Contribution

It introduces a novel framework that uses affordable technology to generate accurate 3D body models for visualization and measurement in obesity treatment monitoring.

Findings

Achieved accurate 3D body measurements with low-cost sensors.

Demonstrated the potential of VR visualization to improve treatment adherence.

Validated measurement accuracy with synthetic and real objects.

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.