Research on algorithm of students' classroom behavior recognition based on two-stream convolutional neural network

Xiyue Wang

doi:10.1117/12.2684736

21 July 2023 Research on algorithm of students' classroom behavior recognition based on two-stream convolutional neural network

Xiyue Wang

Author Affiliations +

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 1271728 (2023) https://doi.org/10.1117/12.2684736
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

With the rise of new technologies, people hope to have a better experience and feeling in their daily life, and the technology and application of various industries are developing towards the direction of digitalization, networking and intelligence. The digital reform of colleges and universities has become an important means of the informatization development of colleges and universities. Its significance lies in improving the teaching quality, strengthening the teaching management norms, optimizing the construction of teaching resources, etc. In this paper, a class behavior recognition algorithm based on two-stream convolutional neural network is studied. The purpose of the research is to analyze and evaluate the teaching quality of the classroom through the identification and statistics of students' behaviors, so as to improve the teaching methods according to the feedback results, and finally achieve the purpose of improving the teaching effect.

Citation Download Citation

Xiyue Wang "Research on algorithm of students' classroom behavior recognition based on two-stream convolutional neural network", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 1271728 (21 July 2023); https://doi.org/10.1117/12.2684736

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