Year: 2024
Type: article
Abstract: Advancements in mobile technology and artificial intelligence have transformed body composition assessment, providing a practical alternative to traditional methods like air displacement plethysmography (ADP), dual energy X-ray absorptiometry (DXA), and expensive optical booth scanners for 3D body measurement.This paper evaluates the competitiveness of Size Stream's mobile 3D body scanning applications against these alternatives and compares their performance with twopoint and four-point bioimpedance devices.Based on a substantial dataset of 209 samples across 118 subjects, body composition was assessed using a four-compartment model, incorporating DXA, bioimpedance analysis, body volume measurements, and body weight.Our findings demonstrate that mobile device 3D scanning achieves impressive accuracy and reliability, closely aligning with full booth results and outperforming conventional bioimpedance scales.The paper details the methodology, data analysis, and comparative metrics, highlighting the potential of mobile devices as viable tools for body composition assessment.This advancement not only enhances accessibility but also ensures precision and accuracy in health and fitness applications.
Source: 3DBODY.TECH journal
DOI: 10.15221/24.09
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4403164233