Egocentric Action Anticipation for Personal Health

The egocentric action anticipation task consists in predicting future (unobserved) actions based on input from a wearable first-person view camera. In this work, we are focusing on applying egocentric action anticipation methods to the personal health domain, i.e., utilizing them for the analysis of dietary and hygienic activities routine and for the prevention of undesirable behavior (such as tasting food before washing hands or adding sugar). We collect a dataset of egocentric videos, capturing specific activities related to food preparation; fine-tune existing action anticipation models on this dataset and analyse effects caused by domain shift.