A review of image-based food recognition and volume estimation artificial intelligence systems
FS Konstantakopoulos, EI Georga… - IEEE Reviews in …, 2023 - ieeexplore.ieee.org
The daily healthy diet and balanced intake of essential nutrients play an important role in
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …
A study on food value estimation from images: taxonomies, datasets, and techniques
Monitoring nutritional values in food can help an individual in planning a healthy diet. In
addition, regular dietary assessment can improve and maintain the physical and mental …
addition, regular dietary assessment can improve and maintain the physical and mental …
Visual aware hierarchy based food recognition
Food recognition is one of the most important components in image-based dietary
assessment. However, due to the different complexity level of food images and inter-class …
assessment. However, due to the different complexity level of food images and inter-class …
Vision-based approaches for automatic food recognition and dietary assessment: A survey
Consuming the proper amount and right type of food have been the concern of many
dieticians and healthcare conventions. In addition to physical activity and exercises …
dieticians and healthcare conventions. In addition to physical activity and exercises …
Deep learning based food instance segmentation using synthetic data
In the process of intelligently segmenting foods in images using deep neural networks for
diet management, data collection and labeling for network training are very important but …
diet management, data collection and labeling for network training are very important but …
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 …
Iterative development of an innovative smartphone-based dietary assessment tool: Traqq
DA Lucassen, EM Brouwer-Brolsma… - JoVE (Journal of …, 2021 - edepot.wur.nl
To collect dietary intake data in a fast and reliable manner, a flexible and innovative
smartphone application (app) called Traqq was developed (iOS/Android). This app can be …
smartphone application (app) called Traqq was developed (iOS/Android). This app can be …
[HTML][HTML] Perspective: opportunities and challenges of technology tools in dietary and activity assessment: bridging stakeholder viewpoints
SK Das, AJ Miki, CM Blanchard, E Sazonov… - Advances in …, 2022 - Elsevier
The science and tools of measuring energy intake and output in humans have rapidly
advanced in the last decade. Engineered devices such as wearables and sensors, software …
advanced in the last decade. Engineered devices such as wearables and sensors, software …
[HTML][HTML] Counting bites with bits: expert workshop addressing calorie and macronutrient intake monitoring
Background Conventional diet assessment approaches such as the 24-hour self-reported
recall are burdensome, suffer from recall bias, and are inaccurate in estimating energy …
recall are burdensome, suffer from recall bias, and are inaccurate in estimating energy …
Towards the creation of a nutrition and food group based image database
Food classification is critical to the analysis of nutrients comprising foods reported in dietary
assessment. Advances in mobile and wearable sensors, combined with new image based …
assessment. Advances in mobile and wearable sensors, combined with new image based …