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

David Herzig Christos Theodoros Nakas Janine Stalder Christophe Kosinski Céline Laesser Joachim Dehais Raphael Jaeggi Alexander Benedikt Leichtle Fried-Michael Dahlweid Christoph Stettler Lia Bally

Published in: JMIR mHealth and uHealth (2020)

This study evaluated the accuracy of a novel smartphone app with an integrated depth-sensing camera and found highly accurate volume estimation across a broad range of food items. In addition, the system demonstrated high segmentation performance and low processing time, highlighting its usability.

Keyphrases

deep learning
convolutional neural network
high resolution
mass spectrometry
high speed