Clustering cooking activities with topic modeling

Abstract

This study proposes a method to find cooking activity patterns based on the way of using work space along with the progress of the food preparation. Dividing the workspace into process-related and idle areas with three regularly divided time periods, we obtained total six spatio-temporal sections. Then, applying LDA modeling with Bag-of-Items feature from each section, we extracted features of cooking activities. Further applying clustering based on the extracted features, we found five typical patterns of food preparation.