Facial expression recognition has been widely applied in the field of psychology, video games, health, learning and man-machine interactions in general, being a very active research area.
The concepts of "mood" and "emotion" are often confused in colloquial language and in their formal definitions. However, there is a consensus that marks at least two major differences between these concepts:
• Moods have a longer duration than emotions.
• Moods are related to emotions because a person who is in a certain mood is prone to experience emotions in his/her facial expression.
Current technologies analyze emotions, but they are not able to analyze moods. This method is based on the machine learning of personalized facial expression models for each subject. Once trained, the method performs a dynamic evaluation of the contribution of subject’s facial micro expressions to a certain mood.
This method could be implemented in different computer-based systems or in mobile devices by means of a proprietary SDK and it performs in real time.