Facial displays description schemas for smiling vs. neutral emotion recognition

Abstract

The possibility of correct automatic recognition of emotion is of high importance in many research domains. In this paper the choice of relevant face regions for smile detection is investigated. Firstly, three facial display division schemas are compared. Afterwards, for the most promising, some region masks are suggested. The presented approach differs in feature vector length. The performance of classification between smiling and neutral facial display proved that applying masks, hence shortening the feature vector, does not decrease the accuracy but even improves the result.