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Emotion-Based Human-Computer Interaction

Emotion-Based Human-Computer Interaction

Sujigarasharma K., Rathi R., Visvanathan P., Kanchana R.
Copyright: © 2023 |Pages: 15
ISBN13: 9781668456736|ISBN10: 1668456737|ISBN13 Softcover: 9781668456743|EISBN13: 9781668456750
DOI: 10.4018/978-1-6684-5673-6.ch009
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MLA

K., Sujigarasharma, et al. "Emotion-Based Human-Computer Interaction." Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence, edited by Chiranji Lal Chowdhary, IGI Global, 2023, pp. 136-150. https://doi.org/10.4018/978-1-6684-5673-6.ch009

APA

K., S., R., R., P., V., & R., K. (2023). Emotion-Based Human-Computer Interaction. In C. Chowdhary (Ed.), Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence (pp. 136-150). IGI Global. https://doi.org/10.4018/978-1-6684-5673-6.ch009

Chicago

K., Sujigarasharma, et al. "Emotion-Based Human-Computer Interaction." In Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence, edited by Chiranji Lal Chowdhary, 136-150. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-5673-6.ch009

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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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