Estimate ‘what people eat’ with machine learning based on images or videos of plates.
We can start small by e.g. aiming to estimate portion sizes, in- or exclusion of vegetables at dinnertime or in-or exclusion of fruits in breakfasts. We could ask students to collect both experimental data as photo’s or video’s and more standardized data, e.g. a simple registry of portion size, to train the model.
In addition to this development: application ecological momentary assessment for dietary intake