[HTML][HTML] Precision nutrition: A systematic literature review

D Kirk, C Catal, B Tekinerdogan - Computers in Biology and Medicine, 2021 - Elsevier
Precision Nutrition research aims to use personal information about individuals or groups of
individuals to deliver nutritional advice that, theoretically, would be more suitable than …

Image-based food classification and volume estimation for dietary assessment: A review

FPW Lo, Y Sun, J Qiu, B Lo - IEEE journal of biomedical and …, 2020 - ieeexplore.ieee.org
A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …

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 …

Point2volume: A vision-based dietary assessment approach using view synthesis

FPW Lo, Y Sun, J Qiu, BPL Lo - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Dietary assessment is an important tool for nutritional epidemiology studies. To assess the
dietary intake, the common approach is to carry out 24-h dietary recall (24HR), a structured …

Dietary nutritional information autonomous perception method based on machine vision in smart homes

H Li, G Yang - Entropy, 2022 - mdpi.com
In order to automatically perceive the user's dietary nutritional information in the smart home
environment, this paper proposes a dietary nutritional information autonomous perception …

Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review

TP Theodore Armand, KA Nfor, JI Kim, HC Kim - Nutrients, 2024 - mdpi.com
In industry 4.0, where the automation and digitalization of entities and processes are
fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering …

[HTML][HTML] Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review

TPT Armand, KA Nfor, JI Kim, HC Kim - Nutrients, 2024 - ncbi.nlm.nih.gov
Abstract In industry 4.0, where the automation and digitalization of entities and processes
are fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering …

FVEstimator: A novel food volume estimator Wellness model for calorie measurement and healthy living

P Kadam, S Pandya, S Phansalkar, M Sarangdhar… - Measurement, 2022 - Elsevier
Identifying the calorific value of food requires a correct estimate of its volume and size
dimensions. The food volumetric estimation can be done rationally and efficiently by …

An Intelligent Vision-Based Nutritional Assessment Method for Handheld Food Items

FPW Lo, Y Guo, Y Sun, J Qiu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Dietary assessment has proven to be effective to evaluate the dietary intake of patients with
diabetes and obesity. The traditional approach of accessing the dietary intake is to conduct a …

Multi-device nutrition control

CAS Cunha, RP Duarte - Sensors, 2022 - mdpi.com
Precision nutrition is a popular eHealth topic among several groups, such as athletes,
people with dementia, rare diseases, diabetes, and overweight. Its implementation demands …