Kinect Equations for Body Indices and Body Composition

August 30, 2021 updated by: Li-Wen Lee, Chang Gung Memorial Hospital

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

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

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 Type

Observational

Enrollment (Anticipated)

240

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Li-Wen Lee, MD, PhD
  • Phone Number: 2382 +886 5 3621 000
  • Email: m4572@cgmh.org.tw

Study Locations

  • Taiwan
      • Chiayi City, Taiwan, 61363
        • Recruiting
        • Chang Gung Memorial Hospital
        • Contact:
        • Principal Investigator:
          • Li-Wen Lee, MD, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 years to 65 years (ADULT, OLDER_ADULT, CHILD)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Apparently healthy participants aged 6-65 years are recruited for this study within 3 years. Estimated enrolled number are 240. Eligible participants will visit study site once and take the measurements.

Description

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 Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Children and adult
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
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Assess association and agreement in body indices and body composition between Kinect and standard methods.
Time Frame: 36 months
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.
Time Frame: 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.
36 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Chang Gung Memorial Hospital

Collaborators

Ministry of Science and Technology, Taiwan

Investigators

  • Principal Investigator: Li-Wen Lee, MD, PhD, Chang Gung Memorial Hospital, Chiayi, Taiwan

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ANTICIPATED)

September 1, 2021

Primary Completion (ANTICIPATED)

July 31, 2024

Study Completion (ANTICIPATED)

July 31, 2024

Study Registration Dates

First Submitted

July 11, 2021

First Submitted That Met QC Criteria

July 11, 2021

First Posted (ACTUAL)

July 20, 2021

Study Record Updates

Last Update Posted (ACTUAL)

August 31, 2021

Last Update Submitted That Met QC Criteria

August 30, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 202002212A3

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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