Research Article

Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview

Volume: 3 Number: 1 June 1, 2020
EN

Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview

Abstract

Facial expression recognition (FER) plays a key role in conveying human emotions and feelings. Automated FER systems enable different machines to recognize emotions without the help of humans; this is considered as a very challenging problem in machine learning. Over the years there has been a considerable progress in this field. In this paper we present a state of the art overview on the different concepts of a FER system and the different used methods; plus we studied the efficiency of using deep learning architectures specifically convolutional neural networks architectures (CNN) as a new solution for FER problems by investigating the most recent and cited works.

Keywords

References

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  3. 3. Chakraborty, A., Konar, A., Chakraborty, U.K., Chatterjee, A.: Emotion recognition from facial expressions and its control using fuzzy logic. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 39(4), 726{743 (2009)
  4. 4. Chang, W.J., Schmelzer, M., Kopp, F., Hsu, C.H., Su, J.P., Chen, L.B., Chen, M.C.: A deep learning facial expression recognition based scoring system for restaurants. In: 2019 International Conference on Arti cial Intelligence in Information and Communication (ICAIIC). pp. 251{254. IEEE (2019)
  5. 5. Christou, N., Kanojiya, N.: Human facial expression recognition with convolution neural networks. In: Third International Congress on Information and Communication Technology. pp. 539{545. Springer (2019)
  6. 6. Cohen, I., Sebe, N., Gozman, F., Cirelo, M.C., Huang, T.S.: Learning bayesian network classi ers for facial expression recognition both labeled and unlabeled data. In: 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. vol. 1, pp. I{I. IEEE (2003)
  7. 7. Darwin, C., Prodger, P.: The expression of the emotions in man and animals. Oxford University Press, USA (1998)
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Details

Primary Language

English

Subjects

Software Engineering (Other)

Journal Section

Research Article

Authors

Abdelouahab Moussaouı This is me
Algeria

Abdenour Hadid This is me
Finland

Publication Date

June 1, 2020

Submission Date

December 10, 2019

Acceptance Date

February 19, 2020

Published in Issue

Year 2020 Volume: 3 Number: 1

APA
Sari, M., Moussaouı, A., & Hadid, A. (2020). Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview. International Journal of Informatics and Applied Mathematics, 3(1), 39-53. https://izlik.org/JA93MW58XX
AMA
1.Sari M, Moussaouı A, Hadid A. Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview. IJIAM. 2020;3(1):39-53. https://izlik.org/JA93MW58XX
Chicago
Sari, Meriem, Abdelouahab Moussaouı, and Abdenour Hadid. 2020. “Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview”. International Journal of Informatics and Applied Mathematics 3 (1): 39-53. https://izlik.org/JA93MW58XX.
EndNote
Sari M, Moussaouı A, Hadid A (June 1, 2020) Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview. International Journal of Informatics and Applied Mathematics 3 1 39–53.
IEEE
[1]M. Sari, A. Moussaouı, and A. Hadid, “Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview”, IJIAM, vol. 3, no. 1, pp. 39–53, June 2020, [Online]. Available: https://izlik.org/JA93MW58XX
ISNAD
Sari, Meriem - Moussaouı, Abdelouahab - Hadid, Abdenour. “Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview”. International Journal of Informatics and Applied Mathematics 3/1 (June 1, 2020): 39-53. https://izlik.org/JA93MW58XX.
JAMA
1.Sari M, Moussaouı A, Hadid A. Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview. IJIAM. 2020;3:39–53.
MLA
Sari, Meriem, et al. “Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview”. International Journal of Informatics and Applied Mathematics, vol. 3, no. 1, June 2020, pp. 39-53, https://izlik.org/JA93MW58XX.
Vancouver
1.Meriem Sari, Abdelouahab Moussaouı, Abdenour Hadid. Automated Facial Expression Recognition Using Deep Learning Techniques: An Overview. IJIAM [Internet]. 2020 Jun. 1;3(1):39-53. Available from: https://izlik.org/JA93MW58XX

International Journal of Informatics and Applied Mathematics