Kinect Equations for Body Indices and Body Composition

• Conditions: Anthropometry; Body Composition
• Interventions: Diagnostic Test: Microsoft Azure Kinect Developer Kit; Diagnostic Test: Bioelectrical impedance analyzer; Diagnostic Test: Dual Energy X-ray Absorptiometry

• Registration Number: NCT04969588
• Lead Sponsor: Chang Gung Memorial Hospital

Brief 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.

Study Timeline

• Study First Submitted: 2021-07-11
• Study First Submitted QC: 2021-07-11
• Study First Posted: 2021-07-20
• Status Verified: 2021-08
• Last Update Submitted: 2021-08-30
• Last Update Posted: 2021-08-31
• Study Start: 2021-09-01
• Primary Completion: 2024-07-31
• Study Completion: 2024-07-31

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 240

Inclusion Criteria

• Healthy children and adult
• Age 6-65 years

Exclusion Criteria

• Chronic illness or chronic medication use (> 3 months)
• Pregnant
• Metal implant(s) or splint(s)
• Pacemaker implantation
• Limb defect(s) or injury

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Children and adult	Bioelectrical impedance analyzer	Participants aged 6-65 years old are recruited for the measurements of depth camera, bioelectrical impedance analysis and dual energy X-ray absorptiometry.
Children and adult	Microsoft Azure Kinect Developer Kit	Participants aged 6-65 years old are recruited for the measurements of depth camera, bioelectrical impedance analysis and dual energy X-ray absorptiometry.
Children and adult	Dual Energy X-ray Absorptiometry	Participants aged 6-65 years old are recruited for the measurements of depth camera, bioelectrical impedance analysis and dual energy X-ray absorptiometry.

Primary Outcome Measures

Name	Time	Method
Develop and validate Kinect equations to predict body indices and body composition.	36 months	Prediction equations for body indices and body composition are created using dual energy X-ray absorptiometry and bioelectrical impedance analysis as reference tools.
Assess association and agreement in body indices and body composition between Kinect and standard methods.	36 months	Correlation and agreement between depth camera results are compared to the results of dual energy X-ray absorptiometry and bioelectrical impedance analysis.

Trial Locations

Locations (1)

Chang Gung Memorial Hospital; 🇨🇳 Chiayi City, Taiwan