HOME    About this site    mypage    Japanese    library    university    Feedback

University of the Ryukyus Repository >
Faculty of Engineering >
Peer-reviewed Journal Articles (Faculty of Engineering) >

 
Title :Feature Acquisition From Facial Expression Image Using Convolutional Neural Networks
Authors :Nishime, Taiki
Endo, Satoshi
Yamada, Koji
Toma, Naruaki
Akamine, Yuhei
Issue Date :Jun-2016
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.
URL :http://dx.doi.org/10.2991/jrnal.2016.3.1.3
Type Local :雑誌掲載論文
ISSN :2352-6386
Publisher :Atlantis Press
URI :http://hdl.handle.net/20.500.12000/42186
Citation :Journal of Robotics, Networking and Artificial Life Vol.3 no.1 p.9 -12
Appears in Collections:Peer-reviewed Journal Articles (Faculty of Engineering)

Files in This Item:

File Description SizeFormat
25856329.pdf1245KbAdobe PDFView/Open