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.
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
240
3D images and 3D joint coordinates are obtained.
Fat mass, fat-free mass and percentage body fat in total body and body segments are estimated.
Skeletal length and body composition are estimated.
Chang Gung Memorial Hospital
Chiayi City, Taiwan
RECRUITINGAssess 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.
Time frame: 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.
Time frame: 36 months
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