System and Methods of Predicting Personality and Morals through Facial Emotion Recognition

A method of predicting personality and morals through facial emotion recognition, comprising steps of:

• a. predicting personality characteristics of individuals on the basis of their face using a machine learning system;
• b. tracking the emotional response of the individual's face through facial emotion recognition (FER) while watching a series of at least fifteen short videos of different genres;
• c. calibrating and analysing users' emotional responses through their facial expression, and
• d. validating individuals' surveys of personality characteristics and moral values to the revised NEO FFI personality inventory, the Haidt moral foundations test, the Schwartz personal value system, and the domain-specific risk-taking scale (DOSPERT).

A computer-implemented system for predicting personality and morals through facial emotion recognition, comprising:

• a. at least one processor implemented to execute computer-readable instructions including, the at least one process,
• b. a pre-processing unit for classifying a target facial emotion recognition that is a target of personality recognition and a target who showed the face from the inputted facial emotion recognition;
• c. an emotion information prediction unit for predicting a personality of a target based on the facial emotion recognition.
• d. a facial emotion recognition personality predicting unit
• e. for predicting a personality category of the target based on the target facial emotion recognition;
• and
• f. an emotion-personality dependency analysis unit for recognizing the target's personality by analysing the dependence between the predicted emotion and the predicted personality category.