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Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis
Constructing a robust emotion-aware analytical framework using non-invasively recorded electroencephalogram (EEG) signals has gained intensive attentions nowadays. However, as deploying a laboratory-oriented proof-of-concept study toward real-world applications, researchers are now facing an ecologi...
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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.
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5515900/ https://ncbi.nlm.nih.gov/pubmed/28769778 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2017.00064 |
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