A Novel CNN-Based Approach for Recognizing Facial Emotion

被引：0

作者：

Huu Hiep Nguyen ^{[1
]}

Luong Anh Tuan Nguyen ^{[2
]}

Anh Quan Tran ^{[1
]}

Thi Ngoc Thanh Nguyen ^{[1
]}

机构：

[1] Ho Chi Minh City Univ Transport, Ho Chi Minh City, Vietnam

[2] Ho Chi Minh City Univ Transport, Informat Syst Dept, Ho Chi Minh City, Vietnam

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2019年 / 19卷 / 05期

关键词：

CNN; Facial Expressions; Haar Like; EXPRESSION RECOGNITION; FACE;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Emotional recognition based on facial expressions is a very important research topic in the field of Human-Computer-Interaction. This paper proposed a new method to recognize emotions from facial image. First, based on Haar like features to detect left eye, right eye, left eyebrow, right eyebrow, nose and mouth. Then, using convolutional neural network (CNN) to recognize emotions with the above-mentioned detected images as input images. A software system based on the proposed method was designed to experiment. The experimental results with CK+ database and database show that the proposed solution achieved the best recognition rate of 98.1%.

引用

页码：237 / 243

页数：7

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