Cargando…
Evaluation Technology of Classroom Students' Learning State Based on Deep Learning
Facial features are an effective representation of students' fatigue state, and the eye is more closely related to fatigue state. However, there are three main problems in the existing research: (1) the positioning of the eye is vulnerable to the external environment; (2) the ocular features ne...
Autor principal: | Chen, Lingjing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548165/ https://www.ncbi.nlm.nih.gov/pubmed/34712318 http://dx.doi.org/10.1155/2021/6999347 |
Ejemplares similares
-
The effects of technology on incarcerated student motivation and engagement in classroom-based learning
por: Badejo, Johannes Adedokun, et al.
Publicado: (2022) -
Deep-Learning-Guided Student Intelligent Classroom Management System
por: Niu, Xiaobing
Publicado: (2022) -
Deep-Learning-Guided Student Classroom Action Understanding for Preschool Education
por: Li, Xiaoli
Publicado: (2022) -
Learning through technology in middle school classrooms: Students’ perceptions of their self-directed and collaborative learning with and without technology
por: Labonté, Chantal, et al.
Publicado: (2022) -
Increasing Student Metacognition and Learning through Classroom-Based Learning Communities and Self-Assessment
por: Siegesmund, Amy
Publicado: (2016)