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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Jie, Chen, Tong, Liu, Guangyuan, Yang, Jiemin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800309/
https://www.ncbi.nlm.nih.gov/pubmed/26996254
http://dx.doi.org/10.1038/srep23384

Ejemplares similares