Adaptive Learning Method in Facial Expression Recognition Model Using Fuzzy-ART
Yuya Gaman, Masaki Ishii, Yoichi Kageyama, Tsuyoshi Takahashi, Makoto Nishida, Motonari Shirasu · 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) · 2019
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.