Affiliation:
1. Foreign Studies College, Hunan Normal University, Changsha, Hunan, China
2. School of Foreign Languages, Hunan University of Humanities, Science and Technology, Loudi, Hunan, China
Abstract
A variety of factors affect English classroom teaching, which prevents teachers from effectively grasping students’ learning status and learning situation. In particular, classroom management is more difficult during online teaching. In order to improve the effectiveness of English classroom teaching, based on the human-computer interaction algorithm and facial identification algorithm, this paper effectively recognizes the human-computer interaction process and classroom learning status of students in online teaching, and eliminates the image background according to the actual teaching needs. Moreover, by extracting and fusing the time sequence information and spatial information of the motion in the video, a spatiotemporal feature image capable of expressing a dynamic typical feature is obtained. In addition, this paper uses system algorithms to judge the status and feed back the identification results to the teacher’s teaching terminal equipment, which is convenient for timely teaching adjustment. Finally, this paper analyzes the effectiveness of the algorithm through simulation experiments. The research results show that the algorithm constructed in this paper has good performance.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference30 articles.
1. Motion-based counter-measures to photo attacks in face recognition;Anjos;Biometrics, IET,2014
2. Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer, Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition;Zhuang;IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2014
3. Selection of optimal narrowband multispectral images for face recognition;Bouchech;monthly notices of the royal astronomical society,2015
4. A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database;Huang;IEEE Transactions on Image Processing,2015
5. Undersampled Face Recognition via Robust Auxiliary Dictionary Learning;Wei;Image Processing IEEE Transactions on,2015
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献