Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)

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Emotion detection using FCM for controlling devices

Authors
G. Dhanalakshmi1, *, S. Pratheebha2, R. L. Thanappriya3, N. S. Monika4
1Associate Professor, Dept. Information Technology, Panimalar Institute of Technology, Chennai, India
2UG Students, Dept. Information Technology, Panimalar Institute of Technology, Chennai, India
3UG Students, Dept. Information Technology, Panimalar Institute of Technology, Chennai, India
4UG Students, Dept. Information Technology, Panimalar Institute of Technology, Chennai, India
*Corresponding author. Email: dhanalakshmi4481@gmail.com
Corresponding Author
G. Dhanalakshmi
Available Online 17 October 2023.
DOI
10.2991/978-94-6463-250-7_4How to use a DOI?
Keywords
Neural Networks; Machine Learning; Fuzzy C-Means; WLD; Convolutional Neural Networks
Abstract

The human face is the most important and significant bodily part that contributes greatly to both human to human and human to machine communication. We always recognize a person by their face, from which we can infer their gender, extrapolate their age, and also deduce certain cultural traits. The technology we use most frequently today is face detection, and a number of programmes need to be able to recognize emotions. The prevalent models do not use feelings to regulate device operation; instead, they rely on facial function identification from a whole image, which has a low accuracy level. The suggested module gathers photos from a camera or a database, recognizes faces, and then extracts features in order to build a powerful emotion detection tool for practical applications. Fuzzy clustering is used to identify different human emotions including happiness, sadness, and fear while managing the technology. These robust devices are made to be employed in successful human-computer interaction and human decision-making.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
Series
Advances in Computer Science Research
Publication Date
17 October 2023
ISBN
10.2991/978-94-6463-250-7_4
ISSN
2352-538X
DOI
10.2991/978-94-6463-250-7_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - G. Dhanalakshmi
AU  - S. Pratheebha
AU  - R. L. Thanappriya
AU  - N. S. Monika
PY  - 2023
DA  - 2023/10/17
TI  - Emotion detection using FCM  for controlling devices
BT  - Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023)
PB  - Atlantis Press
SP  - 15
EP  - 19
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-250-7_4
DO  - 10.2991/978-94-6463-250-7_4
ID  - Dhanalakshmi2023
ER  -