Agreement of anthropometric and body composition measures predicted from 2D smartphone images and body impedance scales with criterion methods.

Journal: Obesity research & clinical practice
PMID: 35094958

Abstract

BACKGROUND/OBJECTIVES: Body composition and anthropometry assessment from two-dimensional smartphone images is possible through advancement of computational hardware and artificial intelligence (AI) techniques. This study established agreement of a novel smartphone assessment, compared with traditional bioelectrical impedance analysis (BIA), and criterion measures.

Authors

  • A Nana
    College of Sports Science and Technology, Mahidol University, Thailand. Electronic address: alisa.nan@mahidol.ac.th.
  • J M D Staynor
    Body Composition Technologies Pty Ltd, South Perth, Western Australia, Australia.
  • S Arlai
    College of Sports Science and Technology, Mahidol University, Thailand.
  • A El-Sallam
    Advanced Human Imaging PLC, South Perth, Western Australia, Australia.
  • N Dhungel
    Advanced Human Imaging PLC, South Perth, Western Australia, Australia.
  • M K Smith
    Body Composition Technologies Pty Ltd, South Perth, Western Australia, Australia.

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