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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...
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| Опубликовано в: : | Sci Rep |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4800309/ https://ncbi.nlm.nih.gov/pubmed/26996254 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep23384 |
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