Facial Expression Recognition Using Convolutional Neural Network

被引：18
|
作者：
Gan, Yijun [1 ]
机构：
[1] Ball State Univ, 2217 W Bethel Ave Apt 131, Muncie, IN 47306 USA
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON VISION, IMAGE AND SIGNAL PROCESSING (ICVISP 2018) | 2018年
关键词：
Facial Expression Recognition; CNN; FER2013;
D O I：
10.1145/3271553.3271584
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Facial expressions are part of human language and are often used to convey emotions. With the development of human-computer interaction technology, people pay more and more attention to facial expression recognition (FER) technology. Besides, in the domain of FER, human beings have made some progress. In this paper, we reviewed the development of FER: VGGNet, ResNet, GoogleNet, and AlexNet. Besides, we studied some ideas of CNN (Convolutional Neural Network), and we used FER2013, which is one of the most significant databases of human faces, as the dataset to be considered. Furthermore, we made some improvements based on the original methods of FER. By training the FER2013 dataset with different revised ways, the best result of accuracy we got is 0.6424. At last, we generated and summarized the progress and deficiencies in this study.
引用
收藏
页数：5
相关论文
共 50 条
  • [31] Facial Emotion Recognition on a Dataset Using Convolutional Neural Network
    Tumen, Vedat
    Soylemez, Omer Faruk
    Ergen, Burhan
    2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP), 2017,
  • [32] Facial Expression Recognition with Small Samples Under Convolutional Neural Network
    Heilongjiang College of Business and Technology, Harbin, China
    不详
    Lect. Notes Inst. Comput. Sci. Soc. Informatics Telecommun. Eng., (383-396):
  • [33] Advertisement System Based on Facial Expression Recognition and Convolutional Neural Network
    Truong Quang Vinh
    Phan Tran Dac Thinh
    ISCIT 2019: PROCEEDINGS OF 2019 19TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2019, : 476 - 480
  • [34] Comparison of Convolutional Neural Network Performances in Pain Facial Expression Recognition
    Lima, Leonardo
    Santos, Pedro
    Ribeiro, Bruno
    Magalhaes, Wallace
    Serrao, Mikaela Kalline M.
    Costa, Marly. G. F.
    Costa Filho, Cicero F. F.
    2023 19TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, SIPAIM, 2023,
  • [35] Three convolutional neural network models for facial expression recognition in the wild
    Shao, Jie
    Qian, Yongsheng
    NEUROCOMPUTING, 2019, 355 : 82 - 92
  • [36] Identity-Aware Convolutional Neural Network for Facial Expression Recognition
    Meng, Zibo
    Liu, Ping
    Cai, Jie
    Han, Shizhong
    Tong, Yan
    2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017), 2017, : 558 - 565
  • [37] Self-Difference Convolutional Neural Network for Facial Expression Recognition
    Liu, Leyuan
    Jiang, Rubin
    Huo, Jiao
    Chen, Jingying
    SENSORS, 2021, 21 (06)
  • [38] Facial Expression Recognition Based on Random Forest and Convolutional Neural Network
    Wang, Yingying
    Li, Yibin
    Song, Yong
    Rong, Xuewen
    INFORMATION, 2019, 10 (12)
  • [39] Multi pose facial expression recognition based on convolutional neural network
    Feng, Yongliang
    INTERNATIONAL JOURNAL OF BIOMETRICS, 2022, 14 (3-4) : 253 - 267
  • [40] POOLING MAP ADAPTATION IN CONVOLUTIONAL NEURAL NETWORK FOR FACIAL EXPRESSION RECOGNITION
    Li, Zhiyuan
    Han, Shizhong
    Khan, Ahmed Shehab
    Cai, Jie
    Meng, Zibo
    O'Reilly, James
    Tong, Yan
    2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2019, : 1108 - 1113
12345