Title: An online learning behaviour monitoring of students based on face recognition and feature extraction
Authors: Dong-yuan Ge; Jian Li; Hai-ping Luo; Tuo Zhou; Wen-jiang Xiang; Xi-fan Yao
Addresses: School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, 545006, China ' School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, 545006, China ' School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou, 545006, China ' Guangxi University of Science and Technology, Liuzhou, 545006, China ' School of Mechanical and Energy Engineering, Shaoyang University, Shaoyang, 422004, China ' School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, 510640, China
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%.
Keywords: face recognition technology; feature extraction method; online learning; behaviour monitoring.
DOI: 10.1504/IJCEELL.2024.139932
International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.4, pp.339 - 353
Received: 09 May 2022
Accepted: 30 Aug 2022
Published online: 12 Jul 2024 *