Analysis of different affective state multimodal recognition approaches with missing data-oriented to virtual learning environments

In this work, the affective state of users in virtual learning environments is assessed/recognized in terms of continuous arousal and valence dimensions, making use of multimodal information (audio, text and video), whenever any of these modalities are available. In general, virtual learning environ...

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Detalles Bibliográficos
Autores principales: Salazar, Camilo, Montoya-Múnera, Edwin, Aguilar, Jose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220333/
https://www.ncbi.nlm.nih.gov/pubmed/34189306
http://dx.doi.org/10.1016/j.heliyon.2021.e07253

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220333/
https://www.ncbi.nlm.nih.gov/pubmed/34189306
http://dx.doi.org/10.1016/j.heliyon.2021.e07253

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