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Classification of drinking-related events at the sensory interactive table

Kara, M.N. (2021) Classification of drinking-related events at the sensory interactive table.

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Abstract: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.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/87305
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