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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360048/ https://www.ncbi.nlm.nih.gov/pubmed/30800157 http://dx.doi.org/10.1155/2019/3076324 |