Multiple Convolutional Neural Networks Fusion Using Improved Fuzzy Integral for Facial Emotion Recognition

Multiple Convolutional Neural Networks Fusion Using Improved Fuzzy Integral for Facial Emotion Recognition

Facial expressions are indispensable in human cognitive behaviors since it can instantly reveal human emotions. Therefore, in this study, Multiple Convolutional Neural Networks using Improved Fuzzy Integral (MCNNs-IFI) were proposed for recognizing facial emotions. Since effective facial expression...

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Bibliographic Details
Main Authors: Cheng-Jian Lin, Chun-Hui Lin, Shyh-Hau Wang, Chen-Hsien Wu
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
Facial emotion recognition
convolutional neural network
fuzzy integral
particle swarm optimization
Online Access:https://www.mdpi.com/2076-3417/9/13/2593

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https://www.mdpi.com/2076-3417/9/13/2593

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