Volume 3, Issue 1, June 2016, Pages 9 - 12
Feature Acquisition From Facial Expression Image Using Convolutional Neural Networks
Taiki Nishime, Satoshi Endo, Koji Yamada, Naruaki Toma, Yuhei Akamine
Available Online 1 June 2016.
- 10.2991/jrnal.2016.3.1.3How to use a DOI?
- facial expression recognition, convolutional neural networks, deep learning, feature learning
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.
- © 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/).
Cite this article
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 -