An Integrated System for Mobile Image-Based Dietary Assessment

10/05/2021
by   Zeman Shao, et al.
0

Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as image-based approaches using advanced machine learning techniques coupled with widely available mobile devices present new opportunities to improve the accuracy of dietary assessment that is cost-effective, convenient and timely. However, the quality and quantity of datasets are essential for achieving good performance for automated image analysis. Building a large image dataset with high quality groundtruth annotation is a challenging problem, especially for food images as the associated nutrition information needs to be provided or verified by trained dietitians with domain knowledge. In this paper, we present the design and development of a mobile, image-based dietary assessment system to capture and analyze dietary intake, which has been deployed in both controlled-feeding and community-dwelling dietary studies. Our system is capable of collecting high quality food images in naturalistic settings and provides groundtruth annotations for developing new computational approaches.

READ FULL TEXT

page 2

page 3

research
08/25/2022

Image Based Food Energy Estimation With Depth Domain Adaptation

Assessment of dietary intake has primarily relied on self-report instrum...
research
06/05/2022

Towards the Creation of a Nutrition and Food Group Based Image Database

Food classification is critical to the analysis of nutrients comprising ...
research
09/01/2023

An Improved Encoder-Decoder Framework for Food EnergyEstimation

Dietary assessment is essential to maintaining a healthy lifestyle. Auto...
research
10/11/2019

Semi-Automatic Crowdsourcing Tool for Online Food Image Collection and Annotation

Assessing dietary intake accurately remains an open and challenging rese...
research
04/12/2023

NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation

77 challenge to ensuring adequate nutritional intake. It has been report...
research
06/17/2016

DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment

Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, we...
research
03/11/2022

Image-based Stroke Assessment for Multi-site Preclinical Evaluation of Cerebroprotectants

Ischemic stroke is a leading cause of death worldwide, but there has bee...

Please sign up or login with your details

Forgot password? Click here to reset