Face Expression Classification in Children Using CNN

https://doi.org/10.22146/ijccs.72493

Yusril Ihza(1*), Danang Lelono(2)

(1) Master Program of Computer Science, FMIPA UGM, Yogyakarta
(2) Department of Computer Science and Electronics, FMIPA UGM, Yogyakarta
(*) Corresponding Author

Abstract


One of the turbulent emotions can be recognized from facial expressions. When compared with adults, children's facial expressions are more expressive for positive emotions and ambiguous for negative emotions so that they are much more difficult to recognize. Ambiguous in terms of negative emotions, for example, when children are angry, sometimes they show an expressionless face, making it difficult to know what emotions the child is experiencing. Therefore, it is proposed research using Convolutional Neural Network with ResNet-50 architecture. According to [1] CNN Resnet-50 is superior to other facial recognition methods, specifically in the classification of facial expressions. CNN ResNet-50 generates a model during the training process, and the model will be used during the testing process. The dataset used is Children's Spontaneous facial Expressions (LIRIS-CSE) data proposed by [2]. CNN ResNet-50 can identify children's expressions well, including expressions of anger, disgust, fear, happy, sad and surprise. The results showed a very significant increase in accuracy, namely in testing data testing reached 99.89%.

Keywords


Expression; Children; CNN; ResNet

Full Text:

PDF


References

[1] B. Li and D. Lima, “Facial expression recognition via ResNet-50,” Int. J. Cogn. Comput. Eng., vol. 2, pp. 57–64, Jun. 2021, doi: 10.1016/j.ijcce.2021.02.002.

[2] R. A. Khan, C. Arthur, A. Meyer, and S. Bouakaz, “A novel database of Children’s Spontaneous Facial Expressions (LIRIS-CSE),” Image Vis. Comput., vol. 83–84, pp. 61–69, Mar. 2019, doi: 10.1016/j.imavis.2019.02.004.

[3] R. Ali, “Detektor Ekspresi Wajah Manusia,” J. Inform., vol. 16, no. 1, pp. 78–84, 2016.

[4] A. Garg and R. Bajaj, “Facial Expression Recognition & Classification using Hybridization of ICA, GA, and Neural Network for Human-Computer Interaction,” J. Netw. Commun. Emerg. Technol., vol. 2, no. 1, pp. 49–57, 2015.

[5] T. Ahmed, S. Hossain, M. Hossain, R. Islam, and K. Andersson, “Facial Expression Recognition using Convolutional Neural Network with Data Augmentation,” Apr. 2019. doi: 10.1109/ICIEV.2019.8858529.

[6] S. Anwar and M. Milanova, “Real Time Face Expression Recognition of Children with Autism,” Int. Acad. Eng. Med. Res., vol. 1, no. 1, pp. 1–8, 2016.

[7] S. Nagpal, M. Singh, M. Vatsa, R. Singh, and A. Noore, “Expression Classification in Children Using Mean Supervised Deep Boltzmann Machine,” 2019, pp. 0–0. Accessed: Aug. 28, 2020. [Online]. Available: https://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Nagpal_Expression_Classification_in_Children_Using_Mean_Supervised_Deep_Boltzmann_Machine_CVPRW_2019_paper.html

[8] C. Herba and M. Phillips, “Development of facial expression recognition from childhood to adolescence: Behavioral and neurological perspectives,” J. Child Psychol. Psychiatry, vol. 45, pp. 1–14, Jan. 2004.

[9] P. Viola and M. J. Jones, “Robust Real-Time Face Detection,” Int. J. Comput. Vis., vol. 57, no. 2, pp. 137–154, May 2004, doi: 10.1023/B:VISI.0000013087.49260.fb.

[10] A. Hermawan, Jaringan Syaraf Tiruan Teori dan Aplikasi. Yogyakarta: Penerbit Andi, 2006.



DOI: https://doi.org/10.22146/ijccs.72493

Article Metrics

Abstract views : 1813 | views : 1640

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



Copyright of :
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
ISSN 1978-1520 (print); ISSN 2460-7258 (online)
is a scientific journal the results of Computing
and Cybernetics Systems
A publication of IndoCEISS.
Gedung S1 Ruang 416 FMIPA UGM, Sekip Utara, Yogyakarta 55281
Fax: +62274 555133
email:ijccs.mipa@ugm.ac.id | http://jurnal.ugm.ac.id/ijccs



View My Stats1
View My Stats2