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

Area of Science:

• Biomedical Engineering
• Digital Health
• Medical Imaging

Background:

• Multimedia technologies can improve patient adherence to treatments.
• Few studies utilize 3D data and virtual reality (VR) for dietetic-nutritional treatment.
• Obtaining and analyzing 4D body measurements during dietary treatment is challenging.

Purpose of the Study:

• To develop a framework for studying the impact of 4D body model visualization on obesity treatment adherence.
• To assess the effectiveness of 3D body modeling and VR in enhancing dietetic-nutritional therapy.
• To investigate the use of low-cost RGB-D sensors for accurate 3D body capture.

Main Methods:

• Utilizing state-of-the-art RGB-D sensors to create complete 3D body models.
• Employing virtual reality (VR) and 2D devices for visualizing 4D body evolution.
• Acquiring 3D body models for measurement extraction and analysis.
• Conducting accuracy assessments with synthetic and real objects.

Main Results:

• A framework was established to visualize 4D body models for obesity treatment.
• Low-cost technology was used to obtain accurate and realistic 3D body models.
• The study analyzed the potential of 3D visualization for improving adherence to obesity treatment.
• Accuracy of measurement acquisition from 3D models was evaluated.

Conclusions:

• The proposed system enables realistic 4D visualization of body shape evolution during obesity treatment.
• This approach offers a promising tool for enhancing patient adherence in dietetic-nutritional interventions.
• Future work can leverage this framework for more effective obesity management strategies.