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Distraction detection of lectures in e-learning using machine learning based on human facial features and postural information

While e-learning lectures allow students to learn at their own pace, it is difficult to manage students’ concentration, which prevents them from receiving valuable information from lectures. Therefore, we propose a method for detecting student distraction during e-learning lectures using machine lea...

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Detalles Bibliográficos
Autores principales: Betto, Iku, Hatano, Ryo, Nishiyama, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9673224/
https://www.ncbi.nlm.nih.gov/pubmed/36415749
http://dx.doi.org/10.1007/s10015-022-00809-z