Learning State Assessment in Online Education Based on Multiple Facial Features Detection

Considering that most of online training is not effectively supervised, this article presents an online leaning state assessment approach which combines blink detection, yawn detection, and head pose estimation. Blink detection is realized by computing the eye aspect ratio and the ratio of closed ey...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Deguang, Cui, Zhanyou, Cao, Fukang, Cui, Gaoxiang, Shen, Jiaquan, Zhang, Yongxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817852/
https://www.ncbi.nlm.nih.gov/pubmed/35132313
http://dx.doi.org/10.1155/2022/3986470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817852/
https://www.ncbi.nlm.nih.gov/pubmed/35132313
http://dx.doi.org/10.1155/2022/3986470

Ejemplares similares