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Multimodal Emotion Recognition Model Based on a Deep Neural Network with Multiobjective Optimization

Mingyong Li, Xue Qiu, Shuang Peng, Lirong Tang, Qiqi Li, Wenhui Yang, Yan Ma, Balakrishnan Nagaraj
2021 Wireless Communications and Mobile Computing  
The speech modal is based on an improved deep convolutional neural network (DCNN); the video image modal is based on an improved deep separation convolution network (DSCNN).  ...  This paper proposes a multimodal emotion recognition model based on a multiobjective optimization algorithm.  ...  sciences project of Chongqing Education Commission (No. 19SKGH035), graduate education reform project of Chongqing Education Commission (No. yjg193093), and Chongqing Normal University Graduate Scientific Research  ... 
doi:10.1155/2021/6971100 fatcat:6hlwc3brcbbmjkladym7bopjzq

Research on facial expression recognition based on Multimodal data fusion and neural network [article]

Yi Han, Xubin Wang, Zhengyu Lu
2021 arXiv   pre-print
In this paper, a neural network algorithm of facial expression recognition based on multimodal data fusion is proposed.  ...  Facial expression recognition is a challenging task when neural network is applied to pattern recognition.  ...  Acknowledgment The authors received no financial support for the research, authorship, and/or publication of this article.  ... 
arXiv:2109.12724v1 fatcat:e4fwldphsnerfohxwmx2deh4ma

Facial Expression Recognition Based on Auxiliary Models

Yingying Wang, Yibin Li, Yong Song, Xuewen Rong
2019 Algorithms  
Our proposed method was evaluated based on four well-known publicly available facial expression databases: JAFFE, CK+, FER2013 and SFEW.  ...  Despite much great success, there are a lot of unsatisfying problems, because facial expressions are subtle and complex. Hence, facial expression recognition is still a challenging problem.  ...  [25] used the Convolutional neural network model to realize facial expression recognition.  ... 
doi:10.3390/a12110227 fatcat:csinlfeqbbg2jb4nyu5v4nbc4a

Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet

Edeh Michael Onyema, Piyush Kumar Shukla, Surjeet Dalal, Mayuri Neeraj Mathur, Mohammed Zakariah, Basant Tiwari, Kalidoss Rajakani
2021 Journal of Healthcare Engineering  
In this study, we present a technique for facial expression recognition based on deep learning algorithm: convolutional neural network (ConvNet).  ...  The use of machine learning algorithms for facial expression recognition and patient monitoring is a growing area of research interest.  ...  Convolutional neural networks (CNN/ConvNet) are used for application based on image classification, object detection, image processing, and so on.  ... 
doi:10.1155/2021/5196000 pmid:34912534 pmcid:PMC8668299 fatcat:7bkm6zvvpncblpnlju72w6ro7a

Short Video Copyright Storage Algorithm Based on Blockchain and Expression Recognition

Yang Yang, Dingguo Yu, Patrizia Grifoni
2022 International Journal of Digital Multimedia Broadcasting  
In this paper, a convolutional neural network algorithm based on visual priority rule is proposed (CNNVP).  ...  Then, the paper proposes a short video copyright storage algorithm based on blockchain and facial expression recognition and stores the log file into the blockchain.  ...  Acknowledgments This paper is supported by the Key R & D Project of Zhejiang Province, "Research on Key Technologies of all media publishing -Research on Key Technologies of all media press and publication  ... 
doi:10.1155/2022/8827815 fatcat:6q23gssi2ngp5eqpnu7ocu5h6i

New Advance of Feature Extraction Algorithm for FER

2017 DEStech Transactions on Computer Science and Engineering  
methods in theory, and comprehensively study facial expression recognition based the convolution neural network.  ...  This paper focus on the analysis of the current research states of the latest facial expression extraction algorithm based the twodimensional and the three-dimensional, try to analyze and compare the various  ...  At present, the theory research for facial expression recognition based on the deep learning mainly focused on CNN (convolution neural network).  ... 
doi:10.12783/dtcse/csma2017/17343 fatcat:dtpuyspzcrck5bzk7nvbz7gnma

Review on Emotion Recognition Using Facial Expressions

Abozar Atya Mohamed Atya, Khalid Hamid Bilal
2021 European Journal of Electrical Engineering and Computer Science  
The approaches used for facial expression include classifiers like Support Vector Machine (SVM), Artificial Neural Network (ANN), Convolution Neural Network (CNN), Active Appearance and Machine learning  ...  Facial expression is an important tool to communicate one's emotions as a non-verbally overview of emotion recognition using facial expressions.  ...  To simulate and assess recognition efficiency based on different variables (network composition, learning patterns and pre-processing), the researchers present both the Japanese Female Facial Expression  ... 
doi:10.24018/ejece.2021.5.3.322 fatcat:scbq4ixjkbfqnfyunrx2ogmd7a

A Deep Convolutional Neural Network with fuzzy rough sets for FER

Xiangjian Chen, Di Li, Xibei Yang
2019 IEEE Access  
INDEX TERMS Convolutional neural network, Type 2 fuzzy rough sets, algorithm adaption k-nearestneighbors.  ...  And finally, compared the proposed method with other feature extraction and learning techniques based on Algorithm Adaption k-Nearest-Neighbors.  ...  TYPE 2 FUZZY ROUGH SETS CONVOLUTIONAL NEURAL NETWORK MODEL Fuzzy expression recognition algorithm framework based on the type 2 fuzzy rough sets convolutional neural network is proposed in Fig.1 .  ... 
doi:10.1109/access.2019.2960769 fatcat:es4zyhyuyrfxdbwlljxwbpgmha

Deep Learning Convolutional Neural Network for Face Recognition: A Review

Rondik J. Hassan, Adnan Mohsin Abdulazeez
2021 Zenodo  
With the advancement of deep learning, Convolution Neural Network (CNN) based facial recognition technology has been the dominant approach adopted in the field of face recognition.  ...  Facial recognition identifies a person based on certain aspects of his physiology.  ...  The face recognition algorithm is trained and learned based on the DL neural convolution network, which has high robustness to the variation in light, change in facial expression, and facial occlusion.  ... 
doi:10.5281/zenodo.4471013 fatcat:xrxhq2bdkjaj7fevn55trjgrla

A Novel Facial Expression Intelligent Recognition Method Using Improved Convolutional Neural Network

Min Shi, Lijun Xu, Xiang Chen
2020 IEEE Access  
It is applied to the convolutional layer of a convolutional neural network(CNN) to obtain a convolution kernel with an initial value, so as to extract the expression image features in the training set  ...  Based on the CNN, this paper introduces FCM to optimize the feature extraction (FE) capability of the model, and proposes a novel FER algorithm using an improved CNN(F-CNN).  ...  Therefore, FE based on facial expressions has attracted many scholars' research interests, and many good FE algorithms have emerged.  ... 
doi:10.1109/access.2020.2982286 fatcat:fyuhl27k6zhdlacyocs2aoooaa

Research on Network Learning Behavior Analysis and Teaching Strategy Based on Deep Learning

2022 Journal of Educational Research and Policies  
analysis of students' learning behavior based on the real situation of the classroom, establishes the evaluation model of teaching effect and carries out empirical research.  ...  This paper studies the online learning behavior based on deep learning, analyzes the students' behavior pictures and identifies the students' identity, marks and actions, and finally carries out the statistical  ...  Acknowledgments This research was supported by the Jilin Province higher education and teaching reform research subject.  ... 
doi:10.53469/jerp.2022.04(04).05 fatcat:rdh5uxucmzaqjlb3gumokeu2eq

A Review on Facial Emotion Recognition Using Machine and Deep Learning Algorithm

2020 International journal for research in engineering application & management  
Facial expression recognition (FER) has gathered widespread consideration recently as facial expressions are thought of as the fastest medium for communicating any of any sort of information.  ...  Recognizing facial expressions provides an improved understanding of a person's thoughts or views.  ...  Deep learning-based approaches extract optimum features that have the preferred characteristics straight away from data with the aid of deep convolutional neural networks.  ... 
doi:10.35291/2454-9150.2020.0353 fatcat:nv55xd7cwrcppglsmjpnk5lzai

The Application of a Hybrid Transfer Algorithm based on a Convolutional Neural Network Model and an Improved Convolution Restricted Boltzmann Machine Model in Facial Expression Recognition

Yingying Wang, Yibin Li, Yong Song, Xuewen Rong
2019 IEEE Access  
INDEX TERMS Facial expression recognition, convolutional neural network, convolution restricted Boltzmann machine, transfer learning.  ...  In order to improve the facial expression recognition ability in transfer learning, a hybrid transfer learning model based on an improved convolution restricted boltzmann machine (CRBM) model and a CNN  ...  [13] proposed a method for facial expression recognition by integrating many convolutional neural networks with probability-based fusion.  ... 
doi:10.1109/access.2019.2961161 fatcat:4owkpkykkfca3f3mb5hl55mwou

HOG-ESRs Face Emotion Recognition Algorithm Based on HOG Feature and ESRs Method

Yuanchang Zhong, Lili Sun, Chenhao Ge, Huilian Fan
2021 Symmetry  
At present, although convolutional neural network has achieved great success in face emotion recognition algorithms, it has a rising space in effective feature extraction and recognition accuracy.  ...  As we all know, there are many ways to express emotions.  ...  Hamester [31] and others proposed a framework based on a multi-channel convolution neural network.  ... 
doi:10.3390/sym13020228 fatcat:efzsm7qs55ejfehkwhwdw3vecq

Emotion Recognition Using Artificial Intelligence And Neural Network

A. Chelnokova Elena
2020 International Journal of Advanced Trends in Computer Science and Engineering  
There are many ways to test a person's recognition of expression, ranging from facial expressions, body posture, voice tone, and the like.  ...  Recognition of human expressions and emotions has attracted the attention of researchers as the ability to recognize human expressions helps in the world.  ...  Convolution neural network is a neural network consisting of convolution layers that performs a computational operation by performing a convolution algorithm.  ... 
doi:10.30534/ijatcse/2020/100942020 fatcat:ycnajta7qfdydfuvd6mjpwnrs4
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