A review on vision-based analysis for automatic dietary assessment
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …
[HTML][HTML] Applying image-based food-recognition systems on dietary assessment: a systematic review
Dietary assessment can be crucial for the overall well-being of humans and, at least in some
instances, for the prevention and management of chronic, life-threatening diseases. Recall …
instances, for the prevention and management of chronic, life-threatening diseases. Recall …
goFOODTM: An Artificial Intelligence System for Dietary Assessment
Y Lu, T Stathopoulou, MF Vasiloglou, LF Pinault… - Sensors, 2020 - mdpi.com
Accurate estimation of nutritional information may lead to healthier diets and better clinical
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
outcomes. We propose a dietary assessment system based on artificial intelligence (AI) …
UEC-FoodPIX Complete: A large-scale food image segmentation dataset
K Okamoto, K Yanai - … Workshops and Challenges: Virtual Event, January …, 2021 - Springer
Currently, many segmentation image datasets are open to the public. However, only a few
open segmentation image dataset of food images exists. Among them, UEC-FoodPix is a …
open segmentation image dataset of food images exists. Among them, UEC-FoodPix is a …
Vision-based methods for food and fluid intake monitoring: a literature review
X Chen, EN Kamavuako - Sensors, 2023 - mdpi.com
Food and fluid intake monitoring are essential for reducing the risk of dehydration,
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …
malnutrition, and obesity. The existing research has been preponderantly focused on dietary …
An artificial intelligence-based system to assess nutrient intake for hospitalised patients
Y Lu, T Stathopoulou, MF Vasiloglou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Regular monitoring of nutrient intake in hospitalised patients plays a critical role in reducing
the risk of disease-related malnutrition. Although several methods to estimate nutrient intake …
the risk of disease-related malnutrition. Although several methods to estimate nutrient intake …
[HTML][HTML] A review on food recognition technology for health applications
Food understanding from digital media has become a challenge with important applications
in many different domains. On the other hand, food is a crucial part of human life since the …
in many different domains. On the other hand, food is a crucial part of human life since the …
Depthcaloriecam: A mobile application for volume-based foodcalorie estimation using depth cameras
Y Ando, T Ege, J Cho, K Yanai - … of the 5th international workshop on …, 2019 - dl.acm.org
Some recent smartphones such as iPhone Xs have pair of cameras which can be used as
stereo cameras on their backside. Regarding iPhone with iOS11 or more, the official API …
stereo cameras on their backside. Regarding iPhone with iOS11 or more, the official API …
Benchmarking algorithms for food localization and semantic segmentation
The problem of food segmentation is quite challenging since food is characterized by
intrinsic high intra-class variability. Also, segmentation of food images taken in-the-wild may …
intrinsic high intra-class variability. Also, segmentation of food images taken in-the-wild may …
MVANet: Multi-task guided multi-view attention network for Chinese food recognition
Food recognition plays a much critical role in various health-care applications. However, it
poses many challenges to current approaches due to the diverse appearances of food …
poses many challenges to current approaches due to the diverse appearances of food …