An Automatic Facial Expression Recognition Method Using Situational Information
Jun Hakura, Chida Shigekazu, Masaki Kurematsu, Hamido Fujita · Frontiers in artificial intelligence and applications · 2008
This paper describes on a recognition method of facial expression with situational information for virtual person with personality of the existed person. By using situational information, the recognition errors caused by the individual differences in the facial expression are expected to be reduced. As situational information, we adopt profiles of a person such as contour of the face, age, and gender at this time. According to the profiles, we categorize user of the virtual person with whom it shares the time and space for a while, to adopt appropriate template set of facial expressions to correctly recognize the expressions. The paper tries to figure out the virtual person, its interaction with a user, situation, profiles, and the recognition method of facial expressions by using the situational information. We also discuss the reason why the situational information is required to the facial expression recognition method.