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Facial Expression Recognition using Convolutional Neural Network with Data Augmentation
Department of Computer Science and Engineering, University of Chittagong, Bangladesh.
Department of Computer Science and Engineering, University of Liberal Arts Bangladesh, Dhaka, Bangladesh.
University of Chittagong, Bangladesh.ORCID iD: 0000-0002-7473-8185
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-3090-7645
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2019 (English)In: Proceedings of the Joint 2019 8th International Conference on Informatics, Electronics & Vision (ICIEV), 2019Conference paper, Published paper (Refereed)
Abstract [en]

Detecting emotion from facial expression has become an urgent need because of its immense applications in artificial intelligence such as human-computer collaboration, data-driven animation, human-robot communication etc. Since it is a demanding and interesting problem in computer vision, several works had been conducted regarding this topic. The objective of this research is to develop a facial expression recognition system based on convolutional neural network with data augmentation. This approach enables to classify seven basic emotions consist of angry, disgust, fear, happy, neutral, sad and surprise from image data. Convolutional neural network with data augmentation leads to higher validation accuracy than the other existing models (which is 96.24%) as well as helps to overcome their limitations.

Place, publisher, year, edition, pages
2019.
Keywords [en]
Convolutional neural network, data augmentation, validation accuracy, emotion detection
National Category
Computer Sciences
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-73310OAI: oai:DiVA.org:ltu-73310DiVA, id: diva2:1299002
Conference
Joint 2019 8th International Conference on Informatics, Electronics & Vision (ICIEV), 26 - 29 April 2019, Spokane, United States
Projects
A belief-rule-based DSS to assess flood risks by using wireless sensor networks
Funder
Swedish Research Council, 2014-4251Available from: 2019-03-25 Created: 2019-03-25 Last updated: 2019-04-02Bibliographically approved

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Islam, Raihan UlAndersson, Karl

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
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  • fi-FI
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  • Other locale
More languages
Output format
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  • asciidoc
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