Deep learning methods for facial expression recognition
Deep learning is very popular methods for facial expression recognition (FER) and classification. Different types of deep learning algorithms have been used for FER such as deep belief network (DBN) and convolutional neural network (CNN). In this paper, we analyze various deep learning methods...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/79711/ http://irep.iium.edu.my/79711/1/79711_Deep%20Learning%20Methods%20for%20Facial%20_conf.%20article.pdf http://irep.iium.edu.my/79711/2/79711_Deep%20Learning%20Methods%20for%20Facial%20_scopus.pdf |
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| author | Mohammad Masum Refat, Chowdhury Zainul Azlan, Norsinnira |
| author_facet | Mohammad Masum Refat, Chowdhury Zainul Azlan, Norsinnira |
| author_sort | Mohammad Masum Refat, Chowdhury |
| building | IIUM Repository |
| collection | Online Access |
| description | Deep learning is very popular methods for facial
expression recognition (FER) and classification. Different types
of deep learning algorithms have been used for FER such as
deep belief network (DBN) and convolutional neural network
(CNN). In this paper, we analyze various deep learning methods
and their results. We have chosen Deep convolutional neural
network as the best algorithms for facial expression detection
and classification. In our study, we have tested the algorithm
using Japanese Female facial expressions database (JAFFE)
datasets by anaconda software. The deep convolution neural
networks with JAFFE datasets accuracy rate around 97.01%. |
| first_indexed | 2025-11-14T17:46:57Z |
| format | Proceeding Paper |
| id | iium-79711 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:46:57Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-797112020-07-13T02:18:26Z http://irep.iium.edu.my/79711/ Deep learning methods for facial expression recognition Mohammad Masum Refat, Chowdhury Zainul Azlan, Norsinnira T Technology (General) TJ Mechanical engineering and machinery TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Deep learning is very popular methods for facial expression recognition (FER) and classification. Different types of deep learning algorithms have been used for FER such as deep belief network (DBN) and convolutional neural network (CNN). In this paper, we analyze various deep learning methods and their results. We have chosen Deep convolutional neural network as the best algorithms for facial expression detection and classification. In our study, we have tested the algorithm using Japanese Female facial expressions database (JAFFE) datasets by anaconda software. The deep convolution neural networks with JAFFE datasets accuracy rate around 97.01%. Institute of Electrical and Electronics Engineers Inc. 2019-10 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/79711/1/79711_Deep%20Learning%20Methods%20for%20Facial%20_conf.%20article.pdf application/pdf en http://irep.iium.edu.my/79711/2/79711_Deep%20Learning%20Methods%20for%20Facial%20_scopus.pdf Mohammad Masum Refat, Chowdhury and Zainul Azlan, Norsinnira (2019) Deep learning methods for facial expression recognition. In: "7th International Conference on Mechatronics Engineering, ICOM 2019", 30 - 31 Oct. 2019, Putrajaya, Malaysia. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8952056 10.1109/ICOM47790.2019.8952056 |
| spellingShingle | T Technology (General) TJ Mechanical engineering and machinery TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Mohammad Masum Refat, Chowdhury Zainul Azlan, Norsinnira Deep learning methods for facial expression recognition |
| title | Deep learning methods for facial expression recognition |
| title_full | Deep learning methods for facial expression recognition |
| title_fullStr | Deep learning methods for facial expression recognition |
| title_full_unstemmed | Deep learning methods for facial expression recognition |
| title_short | Deep learning methods for facial expression recognition |
| title_sort | deep learning methods for facial expression recognition |
| topic | T Technology (General) TJ Mechanical engineering and machinery TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| url | http://irep.iium.edu.my/79711/ http://irep.iium.edu.my/79711/ http://irep.iium.edu.my/79711/ http://irep.iium.edu.my/79711/1/79711_Deep%20Learning%20Methods%20for%20Facial%20_conf.%20article.pdf http://irep.iium.edu.my/79711/2/79711_Deep%20Learning%20Methods%20for%20Facial%20_scopus.pdf |