Research on classroom behavior recognition based on convolutional neural network

Xiyue Wang

doi:10.1117/12.2675098

25 May 2023 Research on classroom behavior recognition based on convolutional neural network

Xiyue Wang

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263615 (2023) https://doi.org/10.1117/12.2675098
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

In recent years, with the rapid development of computer technology, the application of artificial intelligence has gradually expanded to various fields, including: medical care, agriculture, logistics, education, transportation and other industries. Among them, the deep integration of information technology and education teaching has become a trend, which has made the application of smart campuses develop rapidly. In classroom teaching, students' behavior status can reflect students' classroom participation and teaching effect, which has reference significance for teaching quality evaluation and improving teaching methods. Therefore, this paper studies an algorithm for object detection and student behavior recognition based on convolutional neural network, which counts students' classroom participation and analyzes classroom evaluation by identifying students' behavioral states in the classroom. The main research contents of this paper are as follows: Firstly, the research background of the application of artificial intelligence in the field of education and teaching is expounded. Secondly, the working principle and basic algorithm of image prediction technology are summarized. At the same time, the classroom behavior detection and recognition algorithm based on convolutional neural network is introduced, and the performance of the algorithm is analyzed and optimized.

Citation Download Citation

Xiyue Wang "Research on classroom behavior recognition based on convolutional neural network", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263615 (25 May 2023); https://doi.org/10.1117/12.2675098

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KEYWORDS

Education and training

RGB color model

Data modeling

Object detection

Convolutional neural networks

Detection and tracking algorithms

Evolutionary algorithms

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