Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:T2-5
Session:
Number:4875
Feature Learning from Facial Expression Images Using Convolutional Neural Networks
Taiki Nishime, Satoshi Endo, Naruaki Toma, Koji Yamada, Yuhei Akamine ,
pp.567-570
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
In this study, we carried out the facial expression recognition from facial expression dataset using Convolutional Neural Net- works (CNN). In addition, we analyzed intermediate outputs of CNN. As a result, we have obtained emotion recognition score of about 58%; two emotions (Happiness, Surprise) recognition score was about 70%. We also confirmed that specific unit of intermediate layer have learned the feature about Happiness. This paper details these experiments and investigations regarding the influence of CNN learning from facial expression.