AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviours
Author:
Affiliation:
1. Biometrics and Data Pattern Analytics Laboratory, Universidad Autonoma de Madrid, Campus de Cantoblanco, Madrid, Spain
2. IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain
Funder
Project AI4FOOD-CM
Project FACINGLCOVID-CM
Project INTER-ACTION
Project HumanCAIC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10274080.pdf?arnumber=10274080
Reference49 articles.
1. A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition
2. “Automatic Ingestion Monitor Version 2” – A Novel Wearable Device for Automatic Food Intake Detection and Passive Capture of Food Images
3. AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence
4. Automatic expansion of a food image dataset leveraging existing categories with domain adaptation;kawano;Proc Eur Conf Comput Vis Workshop,2014
5. Counting Bites and Recognizing Consumed Food from Videos for Passive Dietary Monitoring
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