University of Twente Student Theses
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: | https://purl.utwente.nl/essays/87305 |
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