Literature DB >> 26373966

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

L Soileau1, D Bautista2, C Johnson3, C Gao3, K Zhang4, X Li4, S B Heymsfield3, D Thomas5, J Zheng3.   

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.

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Mesh:

Year:  2015        PMID: 26373966     DOI: 10.1038/ejcn.2015.132

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  14 in total

Review 1.  Anthropometry and methods of body composition measurement for research and field application in the elderly.

Authors:  S B Heymsfield; C Nuñez; C Testolin; D Gallagher
Journal:  Eur J Clin Nutr       Date:  2000-06       Impact factor: 4.016

2.  The importance of site location for girth measurements.

Authors:  Nathan Daniell; Tim Olds; Grant Tomkinson
Journal:  J Sports Sci       Date:  2010-05       Impact factor: 3.337

3.  Validation of a 3-dimensional photonic scanner for the measurement of body volumes, dimensions, and percentage body fat.

Authors:  Jack Wang; Dympna Gallagher; John C Thornton; Wen Yu; Mary Horlick; F Xavier Pi-Sunyer
Journal:  Am J Clin Nutr       Date:  2006-04       Impact factor: 7.045

4.  Body fluid volume determination via body composition spectroscopy in health and disease.

Authors:  Ulrich M Moissl; Peter Wabel; Paul W Chamney; Ingvar Bosaeus; Nathan W Levin; Anja Bosy-Westphal; Oliver Korth; Manfred J Müller; Lars Ellegård; Vibeke Malmros; Charoen Kaitwatcharachai; Martin K Kuhlmann; Fansan Zhu; Nigel J Fuller
Journal:  Physiol Meas       Date:  2006-07-25       Impact factor: 2.833

5.  Validation of the body scanner as a measuring tool for a rapid quantification of body shape.

Authors:  Thorsten Bretschneider; Urte Koop; Volker Schreiner; Horst Wenck; Sören Jaspers
Journal:  Skin Res Technol       Date:  2009-08       Impact factor: 2.365

Review 6.  Whole-body three-dimensional photonic scanning: a new technique for obesity research and clinical practice.

Authors:  J C K Wells; A Ruto; P Treleaven
Journal:  Int J Obes (Lond)       Date:  2007-10-09       Impact factor: 5.095

7.  Reliability of anthropometric measurements in European preschool children: the ToyBox-study.

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Journal:  Obes Rev       Date:  2014-08       Impact factor: 9.213

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Journal:  Endeavour       Date:  1989       Impact factor: 0.444

9.  Reliability and repeatability of 3-D body scanner (LASS) measurements compared to anthropometry.

Authors:  K Brooke-Wavell; P R Jones; G M West
Journal:  Ann Hum Biol       Date:  1994 Nov-Dec       Impact factor: 1.533

10.  Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.

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Michael Preuss; Lynda M Rose; Jianxin Shi; Dmitry Shungin; Albert Vernon Smith; Rona J Strawbridge; Ida Surakka; Alexander Teumer; Mieke D Trip; Jonathan Tyrer; Jana V Van Vliet-Ostaptchouk; Liesbeth Vandenput; Lindsay L Waite; Jing Hua Zhao; Devin Absher; Folkert W Asselbergs; Mustafa Atalay; Antony P Attwood; Anthony J Balmforth; Hanneke Basart; John Beilby; Lori L Bonnycastle; Paolo Brambilla; Marcel Bruinenberg; Harry Campbell; Daniel I Chasman; Peter S Chines; Francis S Collins; John M Connell; William O Cookson; Ulf de Faire; Femmie de Vegt; Mariano Dei; Maria Dimitriou; Sarah Edkins; Karol Estrada; David M Evans; Martin Farrall; Marco M Ferrario; Jean Ferrières; Lude Franke; Francesca Frau; Pablo V Gejman; Harald Grallert; Henrik Grönberg; Vilmundur Gudnason; Alistair S Hall; Per Hall; Anna-Liisa Hartikainen; Caroline Hayward; Nancy L Heard-Costa; Andrew C Heath; Johannes Hebebrand; Georg Homuth; Frank B Hu; Sarah E Hunt; Elina Hyppönen; Carlos Iribarren; Kevin B Jacobs; John-Olov Jansson; Antti Jula; Mika Kähönen; Sekar Kathiresan; Frank Kee; Kay-Tee Khaw; Mika Kivimäki; Wolfgang Koenig; Aldi T Kraja; Meena Kumari; Kari Kuulasmaa; Johanna Kuusisto; Jaana H Laitinen; Timo A Lakka; Claudia Langenberg; Lenore J Launer; Lars Lind; Jaana Lindström; Jianjun Liu; Antonio Liuzzi; Marja-Liisa Lokki; Mattias Lorentzon; Pamela A Madden; Patrik K Magnusson; Paolo Manunta; Diana Marek; Winfried März; Irene Mateo Leach; Barbara McKnight; Sarah E Medland; Evelin Mihailov; Lili Milani; Grant W Montgomery; Vincent Mooser; Thomas W Mühleisen; Patricia B Munroe; Arthur W Musk; Narisu Narisu; Gerjan Navis; George Nicholson; Ellen A Nohr; Ken K Ong; Ben A Oostra; Colin N A Palmer; Aarno Palotie; John F Peden; Nancy Pedersen; Annette Peters; Ozren Polasek; Anneli Pouta; Peter P Pramstaller; Inga Prokopenko; Carolin Pütter; Aparna Radhakrishnan; Olli Raitakari; Augusto Rendon; Fernando Rivadeneira; Igor Rudan; Timo E Saaristo; Jennifer G Sambrook; Alan R Sanders; Serena Sanna; Jouko Saramies; Sabine Schipf; Stefan Schreiber; Heribert Schunkert; So-Youn Shin; Stefano Signorini; Juha Sinisalo; Boris Skrobek; Nicole Soranzo; Alena Stančáková; Klaus Stark; Jonathan C Stephens; Kathleen Stirrups; Ronald P Stolk; Michael Stumvoll; Amy J Swift; Eirini V Theodoraki; Barbara Thorand; David-Alexandre Tregouet; Elena Tremoli; Melanie M Van der Klauw; Joyce B J van Meurs; Sita H Vermeulen; Jorma Viikari; Jarmo Virtamo; Veronique Vitart; Gérard Waeber; Zhaoming Wang; Elisabeth Widén; Sarah H Wild; Gonneke Willemsen; Bernhard R Winkelmann; Jacqueline C M Witteman; Bruce H R Wolffenbuttel; Andrew Wong; Alan F Wright; M Carola Zillikens; Philippe Amouyel; Bernhard O Boehm; Eric Boerwinkle; Dorret I Boomsma; Mark J Caulfield; Stephen J Chanock; L Adrienne Cupples; Daniele Cusi; George V Dedoussis; Jeanette Erdmann; Johan G Eriksson; Paul W Franks; Philippe Froguel; Christian Gieger; Ulf Gyllensten; Anders Hamsten; Tamara B Harris; Christian Hengstenberg; Andrew A Hicks; Aroon Hingorani; Anke Hinney; Albert Hofman; Kees G Hovingh; Kristian Hveem; Thomas Illig; Marjo-Riitta Jarvelin; Karl-Heinz Jöckel; Sirkka M Keinanen-Kiukaanniemi; Lambertus A Kiemeney; Diana Kuh; Markku Laakso; Terho Lehtimäki; Douglas F Levinson; Nicholas G Martin; Andres Metspalu; Andrew D Morris; Markku S Nieminen; Inger Njølstad; Claes Ohlsson; Albertine J Oldehinkel; Willem H Ouwehand; Lyle J Palmer; Brenda Penninx; Chris Power; Michael A Province; Bruce M Psaty; Lu Qi; Rainer Rauramaa; Paul M Ridker; Samuli Ripatti; Veikko Salomaa; Nilesh J Samani; Harold Snieder; Thorkild I A Sørensen; Timothy D Spector; Kari Stefansson; Anke Tönjes; Jaakko Tuomilehto; André G Uitterlinden; Matti Uusitupa; Pim van der Harst; Peter Vollenweider; Henri Wallaschofski; Nicholas J Wareham; Hugh Watkins; H-Erich Wichmann; James F Wilson; Goncalo R Abecasis; Themistocles L Assimes; Inês Barroso; Michael Boehnke; Ingrid B Borecki; Panos Deloukas; Caroline S Fox; Timothy Frayling; Leif C Groop; Talin Haritunian; Iris M Heid; David Hunter; Robert C Kaplan; Fredrik Karpe; Miriam F Moffatt; Karen L Mohlke; Jeffrey R O'Connell; Yudi Pawitan; Eric E Schadt; David Schlessinger; Valgerdur Steinthorsdottir; David P Strachan; Unnur Thorsteinsdottir; Cornelia M van Duijn; Peter M Visscher; Anna Maria Di Blasio; Joel N Hirschhorn; Cecilia M Lindgren; Andrew P Morris; David Meyre; André Scherag; Mark I McCarthy; Elizabeth K Speliotes; Kari E North; Ruth J F Loos; Erik Ingelsson
Journal:  Nat Genet       Date:  2013-04-07       Impact factor: 38.330

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  17 in total

1.  High-Resolution Three-Dimensional Photonic Scan-Derived Equations Improve Body Surface Area Prediction in Diverse Populations.

Authors:  Maxine Ashby-Thompson; Ying Ji; Jack Wang; Wen Yu; John C Thornton; Carla Wolper; Richard Weil; Earle C Chambers; Blandine Laferrère; F Xavier Pi-Sunyer; Dympna Gallagher
Journal:  Obesity (Silver Spring)       Date:  2020-02-26       Impact factor: 5.002

Review 2.  A machine learning approach relating 3D body scans to body composition in humans.

Authors:  James D Pleuss; Kevin Talty; Steven Morse; Patrick Kuiper; Michael Scioletti; Steven B Heymsfield; Diana M Thomas
Journal:  Eur J Clin Nutr       Date:  2018-10-12       Impact factor: 4.016

3.  Clinically applicable optical imaging technology for body size and shape analysis: comparison of systems differing in design.

Authors:  B Bourgeois; B K Ng; D Latimer; C R Stannard; L Romeo; X Li; J A Shepherd; S B Heymsfield
Journal:  Eur J Clin Nutr       Date:  2017-09-06       Impact factor: 4.016

Review 4.  How to best assess abdominal obesity.

Authors:  Hongjuan Fang; Elizabeth Berg; Xiaoguang Cheng; Wei Shen
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2018-09       Impact factor: 4.294

5.  Optimization of 3D Point Clouds of Oilseed Rape Plants Based on Time-of-Flight Cameras.

Authors:  Zhihong Ma; Dawei Sun; Haixia Xu; Yueming Zhu; Yong He; Haiyan Cen
Journal:  Sensors (Basel)       Date:  2021-01-19       Impact factor: 3.576

6.  Estimating body segment parameters from three-dimensional human body scans.

Authors:  Pawel Kudzia; Erika Jackson; Genevieve Dumas
Journal:  PLoS One       Date:  2022-01-05       Impact factor: 3.240

Review 7.  Emerging Technologies and their Applications in Lipid Compartment Measurement.

Authors:  Steven B Heymsfield; Houchun Harry Hu; Wei Shen; Owen Carmichael
Journal:  Trends Endocrinol Metab       Date:  2015-11-17       Impact factor: 12.015

8.  Revisiting the United States Army body composition standards: a receiver operating characteristic analysis.

Authors:  Russell Nelson; Johnathan Cheatham; Dympna Gallagher; Kevin Bigelman; Diana M Thomas
Journal:  Int J Obes (Lond)       Date:  2018-09-04       Impact factor: 5.095

9.  A Smartphone Application for Personal Assessments of Body Composition and Phenotyping.

Authors:  Gian Luca Farina; Fabrizio Spataro; Antonino De Lorenzo; Henry Lukaski
Journal:  Sensors (Basel)       Date:  2016-12-17       Impact factor: 3.576

10.  Developing a Three-Dimensional (3D) Assessment Method for Clubfoot-A Study Protocol.

Authors:  Balasankar Ganesan; Ameersing Luximon; Adel A Al-Jumaily; Joanne Yip; Paul J Gibbons; Alison Chivers
Journal:  Front Physiol       Date:  2018-01-04       Impact factor: 4.566

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