Emotion recognition using facial expressions

被引:141
作者
Tarnowski, Pawel [1 ]
Kolodziej, Marcin [1 ]
Majkowski, Andrzej [1 ]
Rak, Remigiusz J. [1 ]
机构
[1] Warsaw Univ Technol, Warsaw, Poland
来源
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017) | 2017年 / 108卷
关键词
facial expression; emotion recognition; action units; computer vision; k-NN; MLP;
D O I
10.1016/j.procs.2017.05.025
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the article there are presented the results of recognition of seven emotional states (neutral, joy, sadness, surprise, anger, fear, disgust) based on facial expressions. Coefficients describing elements of facial expressions, registered for six subjects, were used as features. The features have been calculated for three-dimensional face model. The classification of features were performed using k-NN classifier and MLP neural network. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1175 / 1184
页数:10
相关论文
共 11 条
[1]  
Ahlberg J., 2001, CANDIDE-3 -- an updated parameterized face
[2]  
[Anonymous], Environmental Psychology & Nonverbal Behavior
[3]   Fusion of facial expressions and EEG for implicit affective tagging [J].
Koelstra, Sander ;
Patras, Ioannis .
IMAGE AND VISION COMPUTING, 2013, 31 (02) :164-174
[4]  
Li BYL, 2013, IEEE WORK APP COMP, P186, DOI 10.1109/WACV.2013.6475017
[5]  
Lundqvist D., 1998, KAROLINSKA DIRECTED
[6]   Using Kinect for real-time emotion recognition via facial expressions [J].
Mao, Qi-rong ;
Pan, Xin-yu ;
Zhan, Yong-zhao ;
Shen, Xiang-jun .
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2015, 16 (04) :272-282
[7]  
Ogiela MR, 2008, STUD COMPUT INTELL, V84, P1, DOI 10.1007/978-3-540-75402-2
[8]  
Osowski S., 2013, OFICYNA WYDAWNICZA P
[9]  
Przybylo J., 2008, THESIS
[10]  
Ratliff Matthew S., 2008, Proceedings of the Third IASTED International Conference on Human-Computer Interaction, P138