Facial Emotion Recognition using Convolutional Neural Networks

被引：5
|
作者：
Rzayeva, Zeynab [1 ]
Alasgarov, Emin [1 ]
机构：
[1] ADA Univ, Sch Informat Technol & Engn, Baku, Azerbaijan
来源：
2019 IEEE 13TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT 2019) | 2019年
关键词：
Emotion Recognition; Convolutional Neural Networks; Face Expressions;
D O I：
10.1109/aict47866.2019.8981757
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Facial emotion recognition is one of the promptly developing branches within the machine learning domain. In this paper, we are presenting our model based on Convolutional Neural Networks, which is trained on Cohn-Kanade and RAVDESS datasets. The proposed model gets satisfactory results in detecting macro facial emotions on the aforementioned datasets.
引用
收藏
页码：91 / 95
页数：5
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