Research on expression recognition based on deep learning in classroom learning situation analysis

Na Lu; Yanling Luo

doi:10.1117/12.2660165

3 February 2023 Research on expression recognition based on deep learning in classroom learning situation analysis

Na Lu, Yanling Luo

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 1251130 (2023) https://doi.org/10.1117/12.2660165
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

With the rapid development of artificial intelligence technology, the automatic recognition of students' learning state and emotion by target detection and expression recognition technology has attracted more and more attention. In order to solve the problem that the detection accuracy and speed can not be considered in the application, an intelligent lightweight classroom learning situation analysis solution is proposed. Firstly, face is recognized by face detection. By designing a small convolution kernel for continuous convolution and extracting the key feature points of the face in parallel, five kinds of learning expression intensity are output. Finally, the learning emotion score of the weighted sum of the students' overall head up rate obtained by face detection and the expression intensity obtained by expression recognition is used as the evaluation result of learning emotion analysis.

Citation Download Citation

Na Lu and Yanling Luo "Research on expression recognition based on deep learning in classroom learning situation analysis", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 1251130 (3 February 2023); https://doi.org/10.1117/12.2660165

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Facial recognition systems

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