Art

J-GLOBAL ID：202202245352110416   Reference number：22A0377687

Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial Networks

生成敵対ネットワークを用いたEEGベース感情認識のためのデータ増強【JST・京大機械翻訳】

Author (8)： Bao Guangcheng (Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China) ,  Yan Bin (Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China) ,  Tong Li (Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China) ,  Shu Jun (Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China) ,  Wang Linyuan (Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China) ,  Yang Kai (Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China) ,  Zeng Ying (Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China) ,  Zeng Ying (Key Laboratory for NeuroInformation of Ministry of Education, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China)
Material： Frontiers in Computational Neuroscience (Web)  (Front Comput Neurosci (Web))
Volume： 15  Page： 723843  Publication year： 2021 
JST Material Number： U7036A  ISSN： 1662-5188  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： One of the greatest limitation...

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Thesaurus term： topology ,  entropy ,  vector(mathematics) ,  variational method ,  signal discriminator ,  *network ,  spatial distribution ,  differential ,  image processing ,  coder ,  frequency band ,  computer architecture
Semi thesaurus term： *感情認識 ,  認識精度 ,  生成モデル , 【Automatic Indexing@JST】

Author keywords (5)： data augmentation ,  electroencephalography (EEG) ,  emotion recognition ,  generative adversarial network (GAN) ,  variational auto encoder (VAE)

JST classification (2)： Brain and nervous system models  (EL02050C) ,  Biometry  (EL03020C)

Reference (45)：

• Ali U., Li H., Yao R., Wang Q., Amjad M. (2020). EEG emotion signal of artificial neural network by using capsule network. Int. J. Adv. Comput. Res. 11:1.
• Aznan N. K. N., Atapour-Abarghouei A., Bonner S., Connolly J., Moubayed N. A., Breckon T. (2019). Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification. Piscataway, NJ: IEEE.
• Bänziger T., Grandjean D., Scherer K. R. (2009). Emotion recognition from expressions in face, voice, and body: the Multimodal Emotion Recognition Test (MERT). Emotion 9 691-704. doi: 10.1037/a0017088
• Bao G., Zhuang N., Tong L., Yan B., Shu J., Wang L., et al (2021). Two-level domain adaptation neural network for EEG-based emotion recognition. Front. Hum. Neurosci. 14:605246. doi: 10.3389/fnhum.2020.605246
• Bao J., Chen D., Wen F., Li H., Hua G. (2017). CVAE-GAN: fine-grained image generation through asymmetric training. arXiv:1703.10155 [cs] Available online at: http://arxiv.org/abs/1703.10155 [accessed March 9, 2021]. doi: 10.1109/TIP.2020.3019185

Terms in the title (4)： 敵対 ,  EEG ,  感情認識 ,  データ増強