An online learning behaviour monitoring of students based on face recognition and feature extraction
by Dong-yuan Ge; Jian Li; Hai-ping Luo; Tuo Zhou; Wen-jiang Xiang; Xi-fan Yao
International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL), Vol. 34, No. 4, 2024

Abstract: In order to effectively improve the accuracy and efficiency of students' online learning behaviour monitoring, an online learning behaviour monitoring method based on face recognition and feature extraction is proposed. The relevant theories of face recognition technology and feature extraction methods are analysed, and the global features of students' online learning behaviour are collected by monitoring video images and using face recognition technology. Using the feature extraction method, the local features of students' online learning behaviour are extracted according to the grey value of video pixels. On this basis, it constructs the monitoring model of students' online learning behaviour to realise the monitoring of students' online learning behaviour. The experimental results show that the proposed method has good monitoring effect on students' online learning behaviour, and can effectively improve the accuracy and efficiency of students' online learning behaviour monitoring. The maximum monitoring accuracy of the proposed method is more than 97%.

Online publication date: Fri, 12-Jul-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com