Volumetric Food Quantification Using Computer Vision on a Depth-Sensing Smartphone: Preclinical Study.

ABSTRACT:

Background

Quantification of dietary intake is key to the prevention and management of numerous metabolic disorders. Conventional approaches are challenging, laborious, and lack accuracy. The recent advent of depth-sensing smartphones in conjunction with computer vision could facilitate reliable quantification of food intake.

Objective

The objective of this study was to evaluate the accuracy of a novel smartphone app combining depth-sensing hardware with computer vision to quantify meal macronutrient content using volumetry.

Methods

The app ran on a smartphone with a built-in depth sensor applying structured light (iPhone X). The app estimated weight, macronutrient (carbohydrate, protein, fat), and energy content of 48 randomly chosen meals (breakfasts, cooked meals,

SUBMITTER: Herzig D 

PROVIDER: S-EPMC7142738 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature