Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …

We present a system which can recognize the contents of your meal from a single image,
and then predict its nutritional contents, such as calories. The simplest version assumes that …

Nutrient-based meal recommendations have the potential to help individuals prevent or
manage conditions such as diabetes and obesity. However, learning people's food …

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 …

Several projects have shown the feasibility to use emph {textual} social media data to track
public health concerns, such as temporal influenza patterns or geographical obesity …

Food is an integral part of our life and what and how much we eat crucially affects our health.
Our food choices largely depend on how we perceive certain characteristics of food, such as …

Apart from taste, people increasingly consider nutritional facts when choosing a recipe or a
meal. Researchers and companies alike aim to support health-conscious choices by …

We collect and analyze mobile data about everyday eating occasions to study eating
behavior in relation to its context (time, location, social context, related activities and physical …

In food-related services, image information is as important as text information for users. For
example, in recipe search services, users find recipes based not only on text but also …

Calculating the amount of calories in a given food item is now a common task. We propose a
machine-learning-based approach to predict the amount of calories from food images. Our …