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Higher-order Multivariable Polynomial Regression to Estimate Human Affective States
From direct observations, facial, vocal, gestural, physiological, and central nervous signals, estimating human affective states through computational models such as multivariate linear-regression analysis, support vector regression, and artificial neural network, have been proposed in the past deca...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800309/ https://www.ncbi.nlm.nih.gov/pubmed/26996254 http://dx.doi.org/10.1038/srep23384 |