ArticleIEEE access : practical innovations, open solutions2019
A Systematic Review of Technology-Driven Methodologies for Estimation of Energy Intake.
Article in IEEE access : practical innovations, open solutions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A Systematic Review of Sensor-Based Methods for Measurement of Eating Behavior.Sensors (Basel, Switzerland) · 2025Pooled it
- AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.Annals of medicine · 2023Pooled it
- Assessing Eating Behaviour Using Upper Limb Mounted Motion Sensors: A Systematic Review.Nutrients · 2019Pooled it
- Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake.The Journal of nutrition · 2021Trial
- Size-independent, between-individual variability in feed ingestion rate in European seabass (Dicentrarchus labrax).PloS one · 2026Article
- Advancements in Using AI for Dietary Assessment Based on Food Images: Scoping Review.Journal of medical Internet research · 2024Article
- Image-Based Volume Estimation for Food in a Bowl.Journal of food engineering · 2024Article
- Automated Artificial Intelligence-Based Thai Food Dietary Assessment System: Development and Validation.Current developments in nutrition · 2024Article
- Criterion validity of wrist accelerometry for assessing energy intake via the intake-balance technique.The international journal of behavioral nutrition and physical activity · 2023Article
- Vision-Based Methods for Food and Fluid Intake Monitoring: A Literature Review.Sensors (Basel, Switzerland) · 2023Review
- Advancing sustainability in the food and nutrition system: a review of artificial intelligence applications.Frontiers in nutrition · 2023Review
- Development of a Web-Based Diabetes Prevention Program (DPP) for Chinese Americans: A Formative Evaluation Approach.International journal of environmental research and public health · 2022Review
- Energy intake estimation using a novel wearable sensor and food images in a laboratory (pseudo-free-living) meal setting: quantification and contribution of sources of error.International journal of obesity (2005) · 2022Article
- A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation.Sensors (Basel, Switzerland) · 2022Article
- Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints.Advances in nutrition (Bethesda, Md.) · 2022Article
- Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.Scientific reports · 2022Article
- Emerging trends of technology-based dietary assessment: a perspective study.European journal of clinical nutrition · 2021Review
- Food/Non-Food Classification of Real-Life Egocentric Images in Low- and Middle-Income Countries Based on Image Tagging Features.Frontiers in artificial intelligence · 2021Article
- Feasibility Study of an Automated Carbohydrate Estimation System Using Thai Food Images in Comparison With Estimation by Dietitians.Frontiers in nutrition · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Accurate measurement of energy intake (EI) is important for estimation of energy balance, and, correspondingly, body weight dynamics. Traditional measurements of EI rely on self-report, which may be inaccurate and underestimate EI. The imperfections in traditional methodologies such as 24-hour dietary recall, dietary record, and food frequency questionnaire stipulate development of technology-driven methods that rely on wearable sensors and imaging devices to achieve an objective and accurate assessment of EI. The aim of this research was to systematically review and examine peer-reviewed papers that cover the estimation of EI in humans, with the focus on emerging technology-driven methodologies. Five major electronic databases were searched for articles published from January 2005 to August 2017: Pubmed, Science Direct, IEEE Xplore, ACM library, and Google Scholar. Twenty-six eligible studies were retrieved that met the inclusion criteria. The review identified that while the current methods of estimating EI show promise, accurate estimation of EI in free-living individuals presents many challenges and opportunities. The most accurate result identified for EI (kcal) estimation had an average accuracy of 94%. However, collectively, the results were obtained from a limited number of food items (i.e., 19), small sample sizes (i.e., 45 meal images), and primarily controlled conditions. Therefore, new methods that accurately estimate EI over long time periods in free-living conditions are needed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.