Nutrition Informatics: from Food Monitoring to Dietary Management (Closed)

This special issue is now closed. See all Past Special Issues.

Download the Call-for-Papers (PDF) for this special issue.

Important Dates:

Submission Closed
Submission Opens: 17 March 2016
First Reviews Due: 2 May 2016
Final Decision: 30 June 2016

Guest Editors:

Scope:

The prevention of the onset and progression of diet-related acute and chronic diseases requires reliable and intuitive dietary management. The need for accurate, automatic, real-time and personalized dietary advice has been supported by recent advances in computer vision, sensors and smart phone technologies, permitting the development of portable systems for dietary monitoring and management. Significant progress has already been made in this new field that bridges information and communication technologies with medicine, nutrition and dietetics; however there are still many challenges that need to be addressed.

This special issue aims to bring together contributions from researchers and practitioners in the area of ICT assisted dietary monitoring and management systems. We invite authors to submit their original research articles in nutrition informatics, with technical approaches covering from food monitoring to dietary management.

The topics of this special issue include, but are not limited to:

  • Ubiquitous and mobile computing for dietary assessment
  • Computer vision for food detection, segmentation and recognition
  • 3D reconstruction for food portion estimation
  • Augmented reality for food monitoring
  • Wearable sensors for food intake detection
  • Computerized food composition (nutrients, allergens) analysis
  • Smartphone technologies for dietary behavioural patterns
  • Food multimedia databases
  • Evaluation protocols of dietary monitoring/management systems
  • Multimedia assisted self-management of health and disease
  • Engineering approaches to dietary behavioural pattern modelling using sensors and/or smartphones

Priorities will be given to papers reporting original work supported by carefully designed studies, robust statistical analysis and supplemented by on-line data or resources that can be shared by the research community.

For more information, please refer to the Call-for-Papers (PDF) for this special issue.

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