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Multi-Classifier Fusion Based on MI–SFFS for Cross-Subject Emotion Recognition
With the widespread use of emotion recognition, cross-subject emotion recognition based on EEG signals has become a hot topic in affective computing. Electroencephalography (EEG) can be used to detect the brain’s electrical activity associated with different emotions. The aim of this research is to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141183/ https://www.ncbi.nlm.nih.gov/pubmed/35626587 http://dx.doi.org/10.3390/e24050705 |