Deep Learning based Facial Emotion Recognition
Human Facial expression is the mirror of human emotions playing very significant role in nonverbal communication. In many applications like human machine interface, medical diagnosis, AI based games, market research etc. needs facial expression recognition. Although it is very easy task for humans,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | ITM Web of Conferences |
| Subjects: | |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2022/04/itmconf_icacc2022_03058.pdf |
| _version_ | 1828791351764844544 |
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| author | Badhe Swayam Chaudhari Sangita |
| author_facet | Badhe Swayam Chaudhari Sangita |
| author_sort | Badhe Swayam |
| collection | DOAJ |
| description | Human Facial expression is the mirror of human emotions playing very significant role in nonverbal communication. In many applications like human machine interface, medical diagnosis, AI based games, market research etc. needs facial expression recognition. Although it is very easy task for humans, its bit challenging for machines to detect and recognize correct emotions from series of human facial expressions. Since decade, many researchers have tried different image processing, machine learning and deep learning-based approaches to correctly identify human emotions. Some of them could able to identify emotions but with more complexity. WE have proposed CNN model with 4 convolution layer and 2 FC layers which is giving good accuracy over the existing models with less complexity. It is performing better for all classes except fear and disgust. |
| first_indexed | 2024-12-12T02:49:22Z |
| format | Article |
| id | doaj.art-08ff2db6ba954f96b533e77793f31057 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-12T02:49:22Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-08ff2db6ba954f96b533e77793f310572022-12-22T00:40:56ZengEDP SciencesITM Web of Conferences2271-20972022-01-01440305810.1051/itmconf/20224403058itmconf_icacc2022_03058Deep Learning based Facial Emotion RecognitionBadhe Swayam0Chaudhari Sangita1Department of Computer Engineering, Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be UniversityDepartment of Computer Engineering, Ramrao Adik Institute of Technology, D. Y. Patil Deemed to be UniversityHuman Facial expression is the mirror of human emotions playing very significant role in nonverbal communication. In many applications like human machine interface, medical diagnosis, AI based games, market research etc. needs facial expression recognition. Although it is very easy task for humans, its bit challenging for machines to detect and recognize correct emotions from series of human facial expressions. Since decade, many researchers have tried different image processing, machine learning and deep learning-based approaches to correctly identify human emotions. Some of them could able to identify emotions but with more complexity. WE have proposed CNN model with 4 convolution layer and 2 FC layers which is giving good accuracy over the existing models with less complexity. It is performing better for all classes except fear and disgust.https://www.itm-conferences.org/articles/itmconf/pdf/2022/04/itmconf_icacc2022_03058.pdfemotion recognitionfacial expressionsemotion classificationcnn |
| spellingShingle | Badhe Swayam Chaudhari Sangita Deep Learning based Facial Emotion Recognition ITM Web of Conferences emotion recognition facial expressions emotion classification cnn |
| title | Deep Learning based Facial Emotion Recognition |
| title_full | Deep Learning based Facial Emotion Recognition |
| title_fullStr | Deep Learning based Facial Emotion Recognition |
| title_full_unstemmed | Deep Learning based Facial Emotion Recognition |
| title_short | Deep Learning based Facial Emotion Recognition |
| title_sort | deep learning based facial emotion recognition |
| topic | emotion recognition facial expressions emotion classification cnn |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2022/04/itmconf_icacc2022_03058.pdf |
| work_keys_str_mv | AT badheswayam deeplearningbasedfacialemotionrecognition AT chaudharisangita deeplearningbasedfacialemotionrecognition |