Artificial Intelligence for Food Computing and Diet Management
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 23591
Special Issue Editors
Interests: artificial intelligence; health informatics; temporal reasoning; temporal databases
Interests: natural language processing; automatic reasoning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Food is one of the basic needs for human beings, and has a central role in their daily life. Today, scientific research focusing on food finds a wide array of application domains, ranging from the health and medical field, to the fields of psychology and agriculture, to that of gastronomy intended in its broader sense. Our highly technological and connected society is heavily based on social media and shared resources and content, and every day an impressive amount of food-related data including pictures, illustrations, videos, recipes, meal-prep hints, food planning methods and supports, and food diaries (the ubiquitous “what I eat in a day/week/etc.”) is generated and managed throughout the world. Such rich and diverse data offer precious insights and provide significant knowledge in order to analyze and understand many fundamental aspects of our society. Food computing techniques are useful in order to obtain and study data from a variety of different sources, to support activities involving the automatic recognition, retrieval, recommendation, and monitoring of food-related information. Both end users and professionals working in the domains of biology, medicine, gastronomy, agronomy, and other sectors can and should make full use of computational approaches for many different purposes.
Moreover, daily diet is a crucial factor influencing a person’s health. As highlighted by the World Health Organization, this is primarily due to the recent changes in people’s lifestyle. The necessity to embrace a healthy diet has been strongly promoted by the FAO. Rigorously following a healthy diet can sometimes be difficult for several reasons; for example, many people are forced to eat out on a daily basis, relying on a limited choice of foods. Another tricky situation can be experienced during holidays, when high-calorie meals are commonly consumed for several days in a row. The pervasiveness of technology can play a key role in diet management. Thanks to cloud computing technologies, it is now possible to consider mobile devices as sophisticated sensors that enhance human senses and, sometimes, modify them in surprising new ways. Moreover, computers can support healthy eating by guiding and encouraging users to adopt virtuous behaviors. In fact, in recent years there has been a growing interest in using multimedia applications on mobile devices as persuasive technologies. This scenario suggests the possibility of exploiting multimedia tools on mobile devices to provide useful dietary guidelines every day. People need smart systems allowing them to follow a healthy diet and motivate them to compensate for their inevitable dietary transgressions.
We are organizing this Special Issue with the goal of gathering different perspectives on the problem of food computing and diet management. Below there is a non-exhaustive list of topics that could be addressed:
- Dialogue systems for cooking activities;
- Natural language and food;
- Computer-supported human–food interaction;
- Recommender systems for food and diet;
- Big data for food;
- Computational approaches to diet management;
- Persuasive technologies for diet;
- Ubiquitous computing for dietary assessment;
- Computer vision for food detection;
- Deep learning for food analysis;
- Wearable sensors for food intake detection;
- Computerized food composition analysis;
- Multimedia technologies for eating monitoring;
- Food image analysis and social media;
- Food multimedia databases;
- Assisted self-management of health and disease;
- ICT technologies for tackling malnutrition and undernutrition;
- Vision techniques for food quality check.
Submitted articles should not have been previously published or be currently under review in other venues. Papers previously published as part of conference/workshop proceedings can be considered for publication in the Special Issue, provided that they contain at least 40% new content. Authors of such submissions must clearly indicate how the journal version of their paper has been extended in a cover letter to the Guest Editors at the time of submission. Moreover, authors must acknowledge their previous paper in the manuscript and resolve any potential copyright issues prior to submission.
We look forward to your papers!
Dr. Luca Anselma
Dr. Alessandro Mazzei
Guest Editors
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Keywords
- Dialogue systems for cooking activities
- Natural language and food
- Computer-supported human–food interaction
- Recommender systems for food and diet
- Big data for food
- Computational approaches to diet management
- Persuasive technologies for diet
- Ubiquitous computing for dietary assessment
- Computer vision for food detection
- Deep learning for food analysis
- Wearable sensors for food intake detection
- Computerized food composition analysis
- Multimedia technologies for eating monitoring
- Food image analysis and social media
- Food multimedia databases
- Assisted self-management of health and disease
- ICT technologies for tackling malnutrition and undernutrition
- Vision techniques for food quality check.
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