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[1F3-OS-2a-05] Clustering cooking activities with topic modeling
Keywords:Behavior Analysis, Ergonomics, Cooking and food, AI application
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.
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.
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