AUTOMATED HUMAN EMOTION RECOGNITION WITH MODIFIED CONVOLUTIONAL NEURAL NETWORK

Authors

Ramafiarisona Hajasoa Malalatiana Telecommunication Automatic Signal Image Research Laboratory/Doctoral School in Science and Technology of Engineering and Innovation/ University of Antananarivo, Madagascar
Rafidison Maminiaina Alphonse Telecommunication Automatic Signal Image Research Laboratory/Doctoral School in Science and Technology of Engineering and Innovation/ University of Antananarivo, Madagascar
Mr. Pravin R.Choube Department of Electrical Engineeing, Dr. D.Y.Patil Institute of Technology,

Keywords:

Human emotions, Modified Convolutional Neural Network

Abstract

Human emotional detection is very useful in human-robot interaction, technical equipment domain. This paper covers a method how a Modified Convolutional Neural Network (MCNN) works to detect an emotion. The steps start with face detection followed by the emotion. The method of face and eyes detection was published in Web of Scientist: International Scientific Research Journal ISSN: 2776-0979 (Volume 2, Issue 5, May, 2021) which is one of our research results. The proposed algorithm can identify from basic emotions classification to complex one with copious emotions. It depends on the emotion model introduced as training set to define the number of emotion classes. To develop this approach, we open this paper with introduction then the method and close with conclusion

References

Y. Ma, K. Zhan, Z. Wang, “Application of Pulse-Coupled Neural Networks”, Higher Education Press, Beijing, May 2010,pp. 111-114.

M.A. Rafidison, R.H. Malalatiana, “Eyes Detection Improvement By Traditional And Modified Pulse Coupled Neural

Network,” Web of Scientist: International Scientific Research Journal, ISSN: 2776-0979 (Volume 2, Issue 5, May, 2021),pp. 469–484.

M.A. Rafidison, R.H. Malalatiana, “Modified Convolutional Neural Network For Ariary Banknotes Authentication,” International Journal Of Innovations In Engineering Research And Technology, ISSN: 2394-3696 (Volume 8, Issue 1, Janvier, 2021), pp. 62–69.

Dzedzickis A, Kaklauskas A, Bucinskas V. Human Emotion Recognition: Review of Sensors and Methods. Sensors (Basel). 2020;20(3):592. Published 2020 Jan 21. doi:10.3390/s20030592.

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Published

2021-11-26

How to Cite

Ramafiarisona Hajasoa Malalatiana, Rafidison Maminiaina Alphonse, & Choube, M. P. R. (2021). AUTOMATED HUMAN EMOTION RECOGNITION WITH MODIFIED CONVOLUTIONAL NEURAL NETWORK. European Journal of Research Development and Sustainability, 2(11), 33-36. Retrieved from https://scholarzest.com/index.php/ejrds/article/view/1452