Mobile phone applications for 3-dimensional scanning and digital anthropometry: a precision comparison with traditional scanners-Reference-Cited by-同舟云学术

Mobile phone applications for 3-dimensional scanning and digital anthropometry: a precision comparison with traditional scanners

Published:2024-03-07 Issue:6 Volume:78 Page:509-514
ISSN:0954-3007
Container-title:European Journal of Clinical Nutrition
language:en
Short-container-title:Eur J Clin Nutr

Author:

Tinsley Grant M.^ORCID,Rodriguez Christian^ORCID,Siedler Madelin R.,Tinoco Ethan,White Sarah J.,LaValle Christian,Brojanac Alexandra,DeHaven Brielle,Rasco Jaylynn,Florez Christine M.,Graybeal Austin J.^ORCID

Funder

Greyscale Holdings, Inc.

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41430-024-01424-w.pdf

Reference36 articles.

1. Heymsfield SB, Bourgeois B, Ng BK, Sommer MJ, Li X, Shepherd JA. Digital anthropometry: a critical review. Eur J Clin Nutr. 2018;72:680–7. https://doi.org/10.1038/s41430-018-0145-7

2. Mocini E, Cammarota C, Frigerio F, Muzzioli L, Piciocchi C, Lacalaprice D, et al. Digital anthropometry: a systematic review on precision, reliability and accuracy of most popular existing technologies. Nutrients 2023;15:302. https://doi.org/10.3390/nu15020302

3. Graybeal AJ, Brandner CF, Tinsley GM. Visual body composition assessment methods: a 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults. Clin Nutr. 2022;41:2464–72. https://doi.org/10.1016/j.clnu.2022.09.014

4. Graybeal AJ, Brandner CF, Tinsley GM. Evaluation of automated anthropometrics produced by smartphone-based machine learning: a comparison with traditional anthropometric assessments. Br J Nutr. 2023;130:1077–87. https://doi.org/10.1017/s0007114523000090

5. Smith B, McCarthy C, Dechenaud ME, Wong MC, Shepherd J, Heymsfield SB. Anthropometric evaluation of a 3D scanning mobile application. Obesity. 2022;30:1181–8. https://doi.org/10.1002/oby.23434