DietaryIntake2018: Workshop on Innovative Technologies for Dietary Intakes Measurements Imperial College London London, UK, September 17, 2018 |
Conference website | http://dietaryintake.org/index.php?id=57 |
Submission link | https://easychair.org/conferences/?conf=dietaryintake2018 |
Abstract registration deadline | May 30, 2018 |
Submission deadline | May 30, 2018 |
One of the major barriers in nutritional science is the lack of reliable data on individual dietary intake, especially in Low and Middle Income Country (LMIC) settings. The current methods in dietary intake assessments are inaccurate, time-consuming and expensive. The recent advances in smartphone, camera, artificial intelligence and wearable sensor technologies have led to significant progresses in capturing eating episodes, recognising food items, and providing objective measurements of dietary intakes.
This first international workshop aims to bring together researchers and students from both engineering and nutritional science disciplines who are actively developing dietary monitoring systems or conducting nutritional studies to present and discuss the challenges and technological approaches to address the need of accurate dietary monitoring. The workshop is supported by Bill & Melinda Gates Foundation. The workshop will feature presentations of technical systems, evaluation methodologies and opinion statements.
Authors are invited to submit abstracts (max 300 words) for presentation at the workshop. All submissions must describe original research that is not published or currently under review elsewhere. Areas of interest include, but are not limited to:
- Novel methods for accurate assessment of dietary intake
- Wearable cameras/sensors for dietary intake analysis
- Computer vision techniques for food detection, segmentation and recognition
- Food composition (nutrients, allergens) analysis
- Smartphone technologies for food intake monitoring
- 3D reconstruction for food consumption estimation
- Food image and nutrient databases
- Context aware sensing for eating behaviour analysis
- Methods for determining diet-disease relationships
- Population studies on diet and interventions
- Approaches to create awareness of and reinforce individual eating behaviours
- Strategies to encourage self-monitoring eating behaviours