Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

In this paper we address the problem of automatically recognizing pictured dishes. To this
end, we introduce a novel method to mine discriminative parts using Random Forests (rf) …

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 …

Paid crowd work offers remarkable opportunities for improving productivity, social mobility,
and the global economy by engaging a geographically distributed workforce to complete …

Recognizing when eating activities take place is one of the key challenges in automated
food intake monitoring. Despite progress over the years, most proposed approaches have …

Mobile sensing systems have made significant advances in tracking human behavior.
However, the development of personalized mobile health feedback systems is still in its …

Although food journaling is understood to be both important and difficult, little work has
empirically documented the specific challenges people experience with food journals. We …

Accurate activity recognition enables the development of a variety of ubiquitous computing
applications, such as context-aware systems, lifelogging, and personal health systems …

We explore the problem of assigning heterogeneous tasks to workers with different,
unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first …