Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM

Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM

Facial expression recognition is very useful for effective human–computer interaction, robot interfaces, and emotion-aware smart agent systems. This paper presents a new framework for facial expression recognition by using a hybrid model: a combination of convolutional neural networks (CNNs) and a s...

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Bibliographic Details
Main Authors: Jin-Chul Kim, Min-Hyun Kim, Han-Enul Suh, Muhammad Tahir Naseem, Chan-Su Lee
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
facial expression recognition
convolutional neural networks
support vector machine
mixture of classifiers
hybrid model
Online Access:https://www.mdpi.com/2076-3417/12/11/5493

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