Emotion-Based Human-Computer Interaction

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Author(s): Sujigarasharma K. (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India), Rathi R. (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India), Visvanathan P. (School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India)and Kanchana R. (Computer Science and Engineering, Vel Tech Ranganathan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India)
Copyright: 2023
Pages: 15
Source title: Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence
Source Author(s)/Editor(s): Chiranji Lal Chowdhary (Vellore Institute of Technology, India)
DOI: 10.4018/978-1-6684-5673-6.ch009

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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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.

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