Nutrition has a big impact on health, including major diseases
such as heart disease, osteoporosis, and cancer. Our work is
designed to help people keep track of the nutrional content of
foods they have eaten. Our work uses shopping receipts to
generate suggestions about healthier food items that could help
to supplement missing nutrients. Our application, based on
shopping receipt data, provides access to ambiguous suggestions
for more nutritious purchases. Our goal is to contribute a
better understanding of how a sensor-based application can be
integrated in everyday life. To do this, we chose an approach
that can easily be replicated for many users, deployed, and
tested for months at a time. We are currently in the process of
conducting a diary study that can provide data on which we can
train our prediction algorithms. We conducted a formative user
study that suggested that receipts may provide enough
information to extend our work by also estimating what people
are actually eating, as opposed to simply w