Three‐dimensional feature maps and convolutional neural network‐based emotion recognition-Reference-Cited by-同舟云学术

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Three‐dimensional feature maps and convolutional neural network‐based emotion recognition

Published:2021-06-29 Issue:11 Volume:36 Page:6312-6336
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Zheng Xiangwei¹²^ORCID,Yu Xiaomei¹²^ORCID,Yin Yongqiang¹²^ORCID,Li Tiantian³^ORCID,Yan Xiaoyan⁴^ORCID

Affiliation:

1. School of Information Science and Engineering Shandong Normal University Jinan China

2. State Key Laboratory of High‐end Server & Storage Technology Jinan China

3. Faculty of Education Shandong Normal University Jinan China

4. Affiliated Hospital of Shandong University of Traditional Chinese Medicine Jinan China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22551

Reference52 articles.

1. Deep learning approach for facial age classification: a survey of the state-of-the-art

2. EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

3. Emotion Recognition Using Multimodal Deep Learning

4. DEAP: A Database for Emotion Analysis ;Using Physiological Signals

5. Unsupervised learning in reservoir computing for EEG‐based emotion recognition;Fourati R;IEEE Trans Affective Comput,2020

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