This invention relates to the field of
health data analysis technology, and particularly to a method and application for analyzing the correlation between eating micro-expressions and food satisfaction based on
deep learning. The method includes the following steps: S1, capturing facial video images of users during the eating process using a camera device, and extracting eating facial feature sequences from them; S2, separating chewing actions and facial
muscle movements from the eating facial feature sequences based on the
spatial displacement differences of facial key points, and obtaining target micro-
expression feature vectors. In this invention, by cross-evaluating the captured eating micro-expression emotional state with the user's physiological health indicators, nutritional threshold constraints and weight corrections are applied to the initial food preferences generated based on emotions. This allows for strict control of the intake of core risk nutrients while catering to the user's
personal taste satisfaction, ultimately generating personalized recommended recipes that balance emotional experience and
medical health standards.