Fuzzy Based Facial Expression Recognition
Assia Khanam, Muhammad Faisal Shafiq, Muhammad Usman Akram · 2008
Facial expression recognition is of prime importance in human-computer interaction systems (HCI). We present a novel scheme for facial expression recognition from facial features using Mamdani-type fuzzy system. We present a novel algorithm for facial region extraction from static image. These extracted facial regions are used for facial feature extraction. Facial features are fed to a Mamdani-type fuzzy rule based system for facial expression recognition. Another distinct feature of our system is the membership function model of expression output which is based on different psychological studies and surveys. The validation of the model is further supported by the high expression recognition percentage.