hungry robots lab
The Hungry Robots Lab at Wageningen University & Research strives to innovate nutrition research. We want to measure what you eat, when you eat and how you eat fully automatically.
Our favorite techniques and skills include machine learning, machine vision, deep learning, engineering and magic.
About the robots
We work on the campus at WUR, within the division of human nutrition & health.
We are part of education, including the new master of data science for health, the minor quantified self, and a number of other courses on data science.
More about our research below
overview of our research
the smart tray
We are using a smart tray with pressure sensors to measure portion and bite-size.
The tray looks like a regular dining tray, find more information here at the published article.
machine vision
We are using facial landmark detection as well as deep learning to real-time analyze chewing behavior and eating rate.
This can be useful both for regular people and understanding how they eat, as well as for specific situations such as underweight elderly.
food recognition
We are using different techniques, including hyperspectral analysis (this definitely borders on magic) and machine learning to recognize the food that is on the plate.
meet the robots
femke de gooijer
engineering robot
michele tufano
italian vision robot
Iris van den Boomgaard
Education robot