Adaptive Learning Method in Facial Expression Recognition Model Using Fuzzy-ART

Abstract

In a facial expression recognition model that we previously proposed, additional learning of facial expression patterns is performed based on a feature space generated by initial learning; therefore, properly setting initial learning data is necessary. This paper defines an index for measuring dispersion of facial expression patterns and analyzes the relationship between the dispersion and the accuracy of facial expression recognition using classifiers generated through additional learning.