Emotion-Based Human-Computer Interaction-Reference-Cited by-同舟云学术

Emotion-Based Human-Computer Interaction

Published:2022-10-21 Issue: Volume: Page:136-150
ISSN:2327-0411
Container-title:Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
language:
Short-container-title:

Author:

K. Sujigarasharma¹^ORCID,R. Rathi¹^ORCID,P. Visvanathan¹,R. Kanchana²

Affiliation:

1. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

2. Computer Science and Engineering, Vel Tech Ranganathan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India

Abstract

One of the important aspects of human-computer interaction is the detection of emotions using facial expressions. Emotion recognition has problems such as facial expressions, variations of posture, non-uniform illuminations, and so on. Deep learning techniques becomes important to solve these classification problems. In this chapter, VGG19, Inception V3, and Resnet50 pre-trained networks are used for the transfer learning approach to predict human emotions. Finally, the study achieved 98.32% of accuracy for emotion recognition and classification using the CK+ dataset.

Publisher

IGI Global

Reference17 articles.

1. Breast Cancer Detection Using Hybrid Computational Intelligence Techniques

2. Feature Extraction Model Based on Inception V3 to Distinguish Normal Heart Sound from Systolic Murmur

3. The DCT-CNN-ResNet50 architecture to classify brain tumors with super-resolution, convolutional neural network, and the ResNet50

4. Multi-region Ensemble Convolutional Neural Network for Facial Expression Recognition

5. An adaptive deep convolutional neural network for rolling bearing fault diagnosis