Skip to main navigation Skip to search Skip to main content

The use of consumer depth cameras for 3D surface imaging of people with obesity: A feasibility study

  • J.S. Wheat
  • , S. Clarkson
  • , S.W. Flint
  • , C. Simpson
  • , D.R. Broom
  • Sheffield Hallam University
  • University of Leeds
  • Leeds Beckett University

Research output: Contribution to journal › Article › peer-review

Abstract

Objective: Three dimensional (3D) surface imaging is a viable alternative to traditional body morphology measures, but the feasibility of using this technique with people with obesity has not been fully established. Therefore, the aim of this study was to investigate the validity, repeatability and acceptability of a consumer depth camera 3D surface imaging system in imaging people with obesity. Methods: The concurrent validity of the depth camera based system was investigated by comparing measures of mid-trunk volume to a gold-standard. The repeatability and acceptability of the depth camera system was assessed in people with obesity at a clinic. Results: There was evidence of a fixed systematic difference between the depth camera system and the gold standard but excellent correlation between volume estimates (r 2 = 0.997), with little evidence of proportional bias. The depth camera system was highly repeatable – low typical error (0.192 L), high intraclass correlation coefficient (>0.999) and low technical error of measurement (0.64%). Depth camera based 3D surface imaging was also acceptable to people with obesity. Conclusion: It is feasible (valid, repeatable and acceptable) to use a low cost, flexible 3D surface imaging system to monitor the body size and shape of people with obesity in a clinical setting.

Original languageEnglish
Pages (from-to)528-533
Number of pages6
JournalObesity Research and Clinical Practice
Volume12
Issue number6
Early online date21 May 2018
DOIs
Publication statusPublished - 1 Nov 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 Asia Oceania Association for the Study of Obesity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Acceptability
  • Accuracy
  • Repeatability
  • Scanning

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Nutrition and Dietetics

Fingerprint

Dive into the research topics of 'The use of consumer depth cameras for 3D surface imaging of people with obesity: A feasibility study'. Together they form a unique fingerprint.

Cite this