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Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition
Emotion recognition is a burgeoning field allowing for more natural human-machine interactions and interfaces. Electroencephalography (EEG) has shown to be a useful modality with which user emotional states can be measured and monitored, particularly primitives such as valence and arousal. In this p...
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| Pubblicato in: | Comput Intell Neurosci |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6360048/ https://ncbi.nlm.nih.gov/pubmed/30800157 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/3076324 |
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