NCT04969588

Kinect Equations for Body Indices and Body Composition

Development and Validation of Kinect Equations to Estimate Body Indices and Body Composition

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 240 (estimated)
• Sponsor: Chang Gung Memorial Hospital · Academic / Other
• Sex: All
• Age: 6 Years – 65 Years
• Healthy volunteers: —

Summary

This perspective observational study will recruited 240 participants for investigating the feasibility of using Microsoft Azure Kinect developer kit as a method for body indices and body composition. Reference methods will be dual energy X-ray absorptiometry and bioelectrical impedance analysis.

Detailed description

The purpose of this research is to validate the precision and accuracy of Microsoft Azure Kinect Developer Kit in the application of body anthropometric index and body composition measures. This study assumes that depth camera along with skeletal tracking package can estimate the 3D joint position and skeletal length. A dual energy X-ray absorptiometry scanner, a medical device with a daily background dose of radiation will be used as the gold standard. This study aims to investigate the correlation and agreement of using Kinect in estimating skeletal length and body composition in human.A total of 240 participants including children and adults will be recruited for measurements in a 3-year period.

Conditions

• Anthropometry
• Body Composition

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Microsoft Azure Kinect Developer Kit	3D images and 3D joint coordinates are obtained.
DIAGNOSTIC_TEST	Bioelectrical impedance analyzer	Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated.
DIAGNOSTIC_TEST	Dual Energy X-ray Absorptiometry	Skeletal length and body composition are estimated.

Timeline

• Start date: 2021-09-01
• Primary completion: 2024-07-31
• Completion: 2024-07-31
• First posted: 2021-07-20
• Last updated: 2021-08-31

Locations

1 site across 1 country: Taiwan