[1F3-OS-2a] OS-2 (1)

[1F3-OS-2a-05] Clustering cooking activities with topic modeling

〇Ryutaro Hama¹, Azusa Saito¹, Yukari Takaku¹, Atsushi Hashimoto (1. LIXIL Corporation)

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.