Automated anthropometric phenotyping with novel Kinect-based three-dimensional imaging method: comparison with a reference laser imaging system

Background/Objectives: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measur...

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Published inEuropean journal of clinical nutrition Vol. 70; no. 4; pp. 475 - 481
Main Authors Soileau, L, Bautista, D, Johnson, C, Gao, C, Zhang, K, Li, X, Heymsfield, S B, Thomas, D, Zheng, J
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.04.2016
Nature Publishing Group
Subjects
59
631/1647/245
692/699/317
Adolescent
Adult
Aged
Anthropometry
Anthropometry - methods
Automation
Body composition
Body Height
Body Mass Index
Body measurements
Body Size
Body Weight
Child
Child, Preschool
Clinical Nutrition
Comparative analysis
Comparative studies
Computer programs
Diagnostic imaging
Epidemiology
Female
Forearm
Genotype & phenotype
Hardware
Humans
Imaging
Imaging, Three-Dimensional
Internal Medicine
Lasers
Linear Models
Low cost
Male
Measurement
Medical imaging
Medical research
Medicine
Medicine & Public Health
Medicine, Experimental
Metabolic Diseases
Middle Aged
original-article
Phenotype
Phenotyping
Plethysmography
Public Health
Reference systems
Software
Surface area
Training
Waist Circumference
Young Adult
United States > US
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Abstract Background/Objectives: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measurement using newly developed relatively low-cost three-dimensional (3D) imaging devices. The aim of this study was to compare results provided by a Kinect-based device to a traditional laser 3D reference system. Subjects/Methods: Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; TC 2 , Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects ( n =101) were healthy children (age ≥5 years) and adults varying in body mass index. Results: Representative linear (4), circumferential (6), volumetric (3) and surface area (1) measurements made by the Kinect-based device showed a consistent pattern relative to the laser system: high correlations ( R 2 s= 0.70–0.99, all P <0.001); 1–3% differences for large linear (for example, height, X ±s.d., −1.4±0.5%), circumferential (for example, waist circumference, −2.1±1.8%), volume (for example, total body, −0.8±2.2%) and surface area (whole-body, −1.7±2.0%) estimates. By contrast, mean measurement differences were substantially larger for small structures (for example, forearm volume, 31.3±31.4%). Conclusions: Low-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution.
AbstractList BACKGROUND/OBJECTIVES: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measurement using newly developed relatively low-cost three-dimensional (3D) imaging devices. The aim of this study was to compare results provided by a Kinect-based device to a traditional laser 3D reference system. SUBJECTS/METHODS: Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; T[C.sup.2], Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects (n =101) were healthy children (age ≥ 5 years) and adults varying in body mass index. RESULTS: Representative linear (4), circumferential (6), volumetric (3) and surface area (1) measurements made by the Kinect-based device showed a consistent pattern relative to the laser system: high correlations ([R.sup.2]s = 0.70-0.99, all P < 0.001); 1- 3% differences for large linear (for example, height, X ± s.d., - 1.4 ± 0.5%), circumferential (for example, waist circumference, - 2.1 ± 1.8%), volume (for example, total body, - 0.8 ± 2.2%) and surface area (whole-body, - 1.7 ± 2.0%) estimates. By contrast, mean measurement differences were substantially larger for small structures (for example, forearm volume, 31.3 ± 31.4%). CONCLUSIONS: Low-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution. European Journal of Clinical Nutrition (2016) 70, 475-481; doi: 10.1038/ejcn.2015.132; published online 16 September 2015
ACKGROUND/OBJECTIVES: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measurement using newly developed relatively low-cost three-dimensional (3D) imaging devices. The aim of this study was to compare results provided by a Kinect-based device to a traditional laser 3D reference system. SUBJECTS/METHODS: Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; TC(2), Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects (n=101) were healthy children (age ≥5 years) and adults varying in body mass index. RESULTS: Representative linear (4), circumferential (6), volumetric (3) and surface area (1) measurements made by the Kinect-based device showed a consistent pattern relative to the laser system: high correlations (R(2)s= 0.70-0.99, all P<0.001); 1-3% differences for large linear (for example, height, X±s.d., -1.4±0.5%), circumferential (for example, waist circumference, -2.1±1.8%), volume (for example, total body, -0.8±2.2%) and surface area (whole-body, -1.7±2.0%) estimates. By contrast, mean measurement differences were substantially larger for small structures (for example, forearm volume, 31.3±31.4%). CONCLUSIONS: Low-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution.
SUBJECTS/METHODS: Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; T[C.sup.2], Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects (n =101) were healthy children (age ≥ 5 years) and adults varying in body mass index. European Journal of Clinical Nutrition (2016) 70, 475-481; doi: 10.1038/ejcn.2015.132; published online 16 September 2015
Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measurement using newly developed relatively low-cost three-dimensional (3D) imaging devices. The aim of this study was to compare results provided by a Kinect-based device to a traditional laser 3D reference system. Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; TC(2), Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects (n=101) were healthy children (age ≥5 years) and adults varying in body mass index. Representative linear (4), circumferential (6), volumetric (3) and surface area (1) measurements made by the Kinect-based device showed a consistent pattern relative to the laser system: high correlations (R(2)s= 0.70-0.99, all P<0.001); 1-3% differences for large linear (for example, height, X±s.d., -1.4±0.5%), circumferential (for example, waist circumference, -2.1±1.8%), volume (for example, total body, -0.8±2.2%) and surface area (whole-body, -1.7±2.0%) estimates. By contrast, mean measurement differences were substantially larger for small structures (for example, forearm volume, 31.3±31.4%). Low-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution.
Background/Objectives:Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measurement using newly developed relatively low-cost three-dimensional (3D) imaging devices. The aim of this study was to compare results provided by a Kinect-based device to a traditional laser 3D reference system.Subjects/Methods:Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; TC2, Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects (n=101) were healthy children (age ≥5 years) and adults varying in body mass index.Results:Representative linear (4), circumferential (6), volumetric (3) and surface area (1) measurements made by the Kinect-based device showed a consistent pattern relative to the laser system: high correlations (R2s= 0.70–0.99, all P<0.001); 1–3% differences for large linear (for example, height, X±s.d., −1.4±0.5%), circumferential (for example, waist circumference, −2.1±1.8%), volume (for example, total body, −0.8±2.2%) and surface area (whole-body, −1.7±2.0%) estimates. By contrast, mean measurement differences were substantially larger for small structures (for example, forearm volume, 31.3±31.4%).Conclusions:Low-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution.
Background/Objectives: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measurement using newly developed relatively low-cost three-dimensional (3D) imaging devices. The aim of this study was to compare results provided by a Kinect-based device to a traditional laser 3D reference system. Subjects/Methods: Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; TC 2 , Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects ( n =101) were healthy children (age ≥5 years) and adults varying in body mass index. Results: Representative linear (4), circumferential (6), volumetric (3) and surface area (1) measurements made by the Kinect-based device showed a consistent pattern relative to the laser system: high correlations ( R 2 s= 0.70–0.99, all P <0.001); 1–3% differences for large linear (for example, height, X ±s.d., −1.4±0.5%), circumferential (for example, waist circumference, −2.1±1.8%), volume (for example, total body, −0.8±2.2%) and surface area (whole-body, −1.7±2.0%) estimates. By contrast, mean measurement differences were substantially larger for small structures (for example, forearm volume, 31.3±31.4%). Conclusions: Low-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution.
BACKGROUND/OBJECTIVESAnthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and technical skills are required for traditional tape and caliper anthropometry, a new opportunity exists for automated measurement using newly developed relatively low-cost three-dimensional (3D) imaging devices. The aim of this study was to compare results provided by a Kinect-based device to a traditional laser 3D reference system.SUBJECTS/METHODSMeasurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; TC(2), Cary, NC, USA) with our additional added software, were compared with those derived by a high-resolution laser scanner (Vitus Smart XXL; Human Solutions North America, Cary, NC, USA). Both imaging systems were compared with additional linear (stadiometer-derived height) and volumetric (total volume, air-displacement plethysmography) measurements. Subjects (n=101) were healthy children (age ≥5 years) and adults varying in body mass index.RESULTSRepresentative linear (4), circumferential (6), volumetric (3) and surface area (1) measurements made by the Kinect-based device showed a consistent pattern relative to the laser system: high correlations (R(2)s= 0.70-0.99, all P<0.001); 1-3% differences for large linear (for example, height, X±s.d., -1.4±0.5%), circumferential (for example, waist circumference, -2.1±1.8%), volume (for example, total body, -0.8±2.2%) and surface area (whole-body, -1.7±2.0%) estimates. By contrast, mean measurement differences were substantially larger for small structures (for example, forearm volume, 31.3±31.4%).CONCLUSIONSLow-cost 3D Kinect-based imaging systems have the potential for providing automated accurate anthropometric and related body measurements for relatively large components; further hardware and software developments may be able to improve system small-component resolution.
Audience Professional
Academic
Author Soileau, L
Johnson, C
Thomas, D
Gao, C
Li, X
Heymsfield, S B
Zhang, K
Zheng, J
Bautista, D
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  fullname: Bautista, D
  organization: Tulane University School of Medicine
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  surname: Johnson
  fullname: Johnson, C
  organization: Body Composition Laboratory, Pennington Biomedical Research Center, Louisiana State University System
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  organization: Body Composition Laboratory, Pennington Biomedical Research Center, Louisiana State University System
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  organization: Department of Mathematics, Center for Quantitative Obesity Research, Montclair State University
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  organization: Body Composition Laboratory, Pennington Biomedical Research Center, Louisiana State University System
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26373966$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright Macmillan Publishers Limited 2016
COPYRIGHT 2016 Nature Publishing Group
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Snippet Background/Objectives: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice....
Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice. Although training and...
BACKGROUND/OBJECTIVES: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice....
SUBJECTS/METHODS: Measurements made by the evaluated device, a hybrid of commercially purchased hardware (KX-16; T[C.sup.2], Cary, NC, USA) with our additional...
ACKGROUND/OBJECTIVES: Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice....
Background/Objectives:Anthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice....
BACKGROUND/OBJECTIVESAnthropometry for measuring body composition, shape, surface area and volume is important for human clinical research and practice....
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SubjectTerms 59
631/1647/245
692/699/317
Adolescent
Adult
Aged
Anthropometry
Anthropometry - methods
Automation
Body composition
Body Height
Body Mass Index
Body measurements
Body Size
Body Weight
Child
Child, Preschool
Clinical Nutrition
Comparative analysis
Comparative studies
Computer programs
Diagnostic imaging
Epidemiology
Female
Forearm
Genotype & phenotype
Hardware
Humans
Imaging
Imaging, Three-Dimensional
Internal Medicine
Lasers
Linear Models
Low cost
Male
Measurement
Medical imaging
Medical research
Medicine
Medicine & Public Health
Medicine, Experimental
Metabolic Diseases
Middle Aged
original-article
Phenotype
Phenotyping
Plethysmography
Public Health
Reference systems
Software
Surface area
Training
Waist Circumference
Young Adult
Title Automated anthropometric phenotyping with novel Kinect-based three-dimensional imaging method: comparison with a reference laser imaging system
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