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Multi-method Fusion of Cross-Subject Emotion Recognition Based on High-Dimensional EEG Features
Emotion recognition using electroencephalogram (EEG) signals has attracted significant research attention. However, it is difficult to improve the emotional recognition effect across subjects. In response to this difficulty, in this study, multiple features were extracted for the formation of high-d...
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| 出版年: | Front Comput Neurosci |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6714862/ https://ncbi.nlm.nih.gov/pubmed/31507396 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2019.00053 |
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