A Facial Expression Recognition Method Based on Improved VGG19 Model

被引：0
|
作者：
Bi, Lihua [1 ]
Tang, Shenbo [2 ]
Li, Canlin [2 ]
机构：
[1] Zhengzhou Univ Light Ind, Sch Software Engn, Zhengzhou, Peoples R China
[2] Zhengzhou Univ Light Ind, Sch Comp Sci & Technol, Zhengzhou, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2024年 / 15卷 / 07期
关键词：
Facial expression recognition; deep learning; VGG19; model;
D O I：
10.14569/IJACSA.2024.0150725
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With the increasing demand for human-computer interaction and the development of emotional computing technology, facial expression recognition has become a major focus in research. In this paper, an improved VGG19 network model is proposed by involving enhancement strategies, and the facial expression recognition process with the improved VGG19 model is provided. We validated the model on FER2013 and CK+ datasets and conducted comparative experiments on facial expression recognition accuracy among the improved VGG19 and other classic models, including the original VGG19. Instance tests were also performed, using probability histograms to reflect the effectiveness of expression recognition. These experiments and tests demonstrate the superiority, as well as the applicability and stability of the improved VGG19 model on facial expression recognition.
引用
收藏
页码：249 / 254
页数：6
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