Classification of drinking-related events at the sensory interactive table

Healthy eating is an important part of our lives. University of Twente recently created the Sensory Interactive Table to support healthy eating in a social setting. There has already been research done on classification, however, the classification of drinking-related events is missing. This research focuses on classifying different drinking-related events that happen at the table. These are: tracking and classification of putting a glass on the table, pouring water in the glass, and the drinking behavior of people. Supervised machine learning with two machine learning algorithms k-NN and SVM are used for classification. Results show high accuracies, with the highest accuracy measured using SVM being 0.938 and k-NN being 0.933. This research identifies how accurately drinking-related events can be classified and hence provides new insights on how to add more intelligence to the table.