AnthropometryNCT04969588
Kinect Equations for Body Indices and Body Composition
An observational study of Anthropometry and Body Composition, run by Chang Gung Memorial Hospital at 1 site in Taiwan.
Trial 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. Read more about this study
- Who is it for?
- Ages 6 to 65 years
- Conditions the study is for
- Anthropometry, Body Composition
- What is being tested?
- Microsoft Azure Kinect Developer Kit, Bioelectrical impedance analyzer and Dual Energy X-ray Absorptiometry
- How many people
- 240 participants
- Where
- 1 siteTaiwan
- Study dates
- 1 Sep 2021to 31 Jul 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 6 to 65 years
- All sexes
- Child, Adult, Older adult
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.
Who may be able to join
- Healthy children and adult
- Age 6-65 years
Who cannot join
- Chronic illness or chronic medication use (> 3 months)
- Pregnant
- Metal implant(s) or splint(s)
- Pacemaker implantation
- Limb defect(s) or injury
Trial locations and contacts
1 site in 1 country.
Taiwan1 site, 1 recruiting
- Recruiting
Chang Gung Memorial Hospital
Chiayi City, 61363
Li-Wen Lee, MD, PhD, +886 5 3621 000 ext. 2382, m4572@cgmh.org.tw
Li-Wen Lee, MD, PhD
About this study
Official title: 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.
Read the 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
- Being tested
- Microsoft Azure Kinect Developer Kit, Bioelectrical impedance analyzer, Dual Energy X-ray Absorptiometry
- Keywords
- Anthropometry, Body Composition
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Microsoft Azure Kinect Developer KitDiagnostic test
3D images and 3D joint coordinates are obtained.
Bioelectrical impedance analyzerDiagnostic test
Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated.
Dual Energy X-ray AbsorptiometryDiagnostic test
Skeletal length and body composition are estimated.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Diagnostic Test: Microsoft Azure Kinect Developer Kit; Diagnostic Test: Bioelectrical impedance analyzer; Diagnostic Test: Dual Energy X-ray Absorptiometry |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Measured: 36 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Jul 2021
- Study start1 Sep 2021 (estimated)
- Primary completion31 Jul 2024 (estimated)
- Study completion31 Jul 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for AnthropometryStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case only
- Time perspective
- Prospective
- Enrolment
- 240 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chang Gung Memorial Hospital
- Sponsor type
- University, hospital or other
- Collaborators
- Ministry of Science and Technology, Taiwan
- Responsible party
- Principal investigator, Li-Wen Lee, Chang Gung Memorial Hospital
- Investigators
- Li-Wen Lee, MD, PhD, Principal investigator, Chang Gung Memorial Hospital, Chiayi, Taiwan
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04969588
- Sponsor's protocol ID
- 202002212A3
- Status last verified
- Aug 2021
- First submitted
- 11 Jul 2021
- Last updated
- 31 Aug 2021
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 31 Aug 2021. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Development and Validation of Kinect Equations to Estimate Body Indices and Body Composition
- ClinicalTrials.gov ID
- NCT04969588
- Acronym / sponsor ID
- 202002212A3
- Conditions
- Anthropometry, Body Composition
- Keywords
- Anthropometry, Body Composition
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 240 participants (estimated)
- Lead sponsor
- Chang Gung Memorial HospitalUniversity, hospital or other
- Collaborators
- Ministry of Science and Technology, Taiwan
- Study start
- 1 Sep 2021 (estimated)
- Primary completion
- 31 Jul 2024 (estimated)
- Study completion
- 31 Jul 2024 (estimated)
- First posted
- 20 Jul 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Case only
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Children and adult | – | Diagnostic Test: Microsoft Azure Kinect Developer Kit, Diagnostic Test: Bioelectrical impedance analyzer, Diagnostic Test: Dual Energy X-ray AbsorptiometryParticipants aged 6-65 years old are recruited for the measurements of depth camera, bioelectrical impedance analysis and dual energy X-ray absorptiometry. |
Who may qualify
- Ages
- 6 to 65 years
- Sex
- All
- Age groups
- Child, Adult, Older adult
- 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.
Key inclusion criteria (2 listed)
- Healthy children and adult
- Age 6-65 years
Key exclusion criteria (5 listed)
- Chronic illness or chronic medication use (> 3 months)
- Pregnant
- Metal implant(s) or splint(s)
- Pacemaker implantation
- Limb defect(s) or injury
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Microsoft Azure Kinect Developer Kit3D images and 3D joint coordinates are obtained. | Diagnostic test | Children and adult |
| Bioelectrical impedance analyzerFat mass, fat-free mass and percentage body fat in total body and body segments are estimated. | Diagnostic test | Children and adult |
| Dual Energy X-ray AbsorptiometrySkeletal length and body composition are estimated. | Diagnostic test | Children and adult |
Primary outcome
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.
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.
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 31 Aug 2021.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Li-Wen Lee, MD, PhD principal investigator
Chang Gung Memorial Hospital, Chiayi, Taiwan
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Anthropometry and Body Composition, run by Chang Gung Memorial Hospital at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 31 Aug 2021. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Li-Wen Lee, MD, PhD (+886 5 3621 000 ext. 2382, m4572@cgmh.org.tw), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Assess association and agreement in body indices and body composition between Kinect and standard methods. (time frame: 36 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 Aug 2021.