Feature Acquisition From Facial Expression Image Using Convolutional Neural Networks

DOI

10.2991/jrnal.2016.3.1.3How to use a DOI?

Keywords

facial expression recognition, convolutional neural networks, deep learning, feature learning

Abstract

In this study, we carried out the facial expression recognition from facial expression dataset using Convolutional Neural Networks (CNN). In addition, we analyzed intermediate outputs of CNN. As a result, we have obtained a 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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Taiki Nishime
AU  - Satoshi Endo
AU  - Koji Yamada
AU  - Naruaki Toma
AU  - Yuhei Akamine
PY  - 2016
DA  - 2016/06/01
TI  - Feature Acquisition From Facial Expression Image Using Convolutional Neural Networks
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 9
EP  - 12
VL  - 3
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.3.1.3
DO  - 10.2991/jrnal.2016.3.1.3
ID  - Nishime2016
ER  -