Distraction detection of lectures in e-learning using machine learning based on human facial features and postural information-Reference-Cited by-同舟云学术

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

Published:2022-11-18 Issue:1 Volume:28 Page:166-174
ISSN:1433-5298
Container-title:Artificial Life and Robotics
language:en
Short-container-title:Artif Life Robotics

Author:

Betto Iku,Hatano Ryo,Nishiyama Hiroyuki

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Link

https://link.springer.com/content/pdf/10.1007/s10015-022-00809-z.pdf

Reference12 articles.

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5. De Castro MJC, Medina JRE, Lopez JPG, de Goma JC, Devaraj M (2018) A non-intrusive method for detecting visual distraction indicators of transport network vehicle service drivers using computer vision. The 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, pp 1–5

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