Kinect Equations for Body Indices and Body Composition

Study Overview
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Brief Summary
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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
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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.

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

Conditions
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Anthropometry, Body Composition

Intervention / Treatment
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* Diagnostic Test: Microsoft Azure Kinect Developer Kit
* Diagnostic Test: Bioelectrical impedance analyzer
* Diagnostic Test: Dual Energy X-ray Absorptiometry


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 6 Years
Maximum Age: 65 Years

Sexes Eligible for Study
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All

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Children and adult<br>Participants aged 6-65 years old are recruited for the measurements of depth camera, bioelectrical impedance analysis and dual energy X-ray absorptiometry. | Diagnostic Test: Microsoft Azure Kinect Developer Kit<br>* 3D images and 3D joint coordinates are obtained.<br>Diagnostic Test: Bioelectrical impedance analyzer<br>* Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated.<br>Diagnostic Test: Dual Energy X-ray Absorptiometry<br>* Skeletal length and body composition are estimated.<br>|

What is the study measuring?
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Primary Outcome Measures

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

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Anthropometry, Body Composition