We are really glad to announce that another milestone of the GoCARB project has been achieved, by successfully closing the European Commission funded part. But the journey continues….
After four years of hard work and dedication, we managed to make confident strides towards a more accurate estimation of carbohydrate intake. We would like to kindly thank you all for your love and support these years that make us move forward. You are welcome to browse through this website for all the outcome of our research. Of course, if you have any questions concerning the next steps of our research, please do not hesitate to contact us.
GoCARB was a Marie Curie Industry-Academia Partnerships and Pathways project funded by the European Commission’s 7th Framework Programme. The aim of the project is to support diabetes patients in counting carbohydrates and estimating the size of the prandial insulin. Although studies have shown that planning meals and counting carbohydrates is of great importance for diabetic patients, even well trained diabetic patients find it difficult to estimate carbohydrates precisely.
The aim of GoCARB is to design, develop and validate a system, which permits the automatic, near real-time recognition of the different types of foods on a plate and estimates their content of carbohydrates. This information is used to optimize the calculation of the prandial insulin dose. The prototype runs on Android smartphones. In order to validate the integrated prototype a three-step procedure was followed involving technical, preclinical and clinical validation.
In summary, GoCARB addresses the need of people with diabetes for a more effective, automated and precise way to estimate the grams of carbohydrates in food, as well as improving their management of their disease, and enhancing their quality of life.
|Project Full Title:||Type 1 Diabetes Self-Management and Carbohydrate Counting: A Computer Vision based Approach|
|Starting Date:||September 2011|