Student classroom behavior identification method based on convolutional neural network

Abstract

The invention discloses a student classroom behavior recognition method based on a convolutional neural network, and the method comprises the steps: (1), collecting image data, and forming a databaseof a student; (2) sending the database collected in the step (1) to a behavior recognition network based on a convolutional neural network for a series of training, and obtaining a pre-training model;and (3) detecting the classroom videos of the students by utilizing the obtained pre-training model, detecting the behaviors of the students, and generating corresponding bounding boxes and corresponding behavior names. According to the method, the class behaviors of students in the teaching field, namely hand raising, listening, sleeping, answering and writing, can be well recognized, teachers can be helped to know the class conditions of the students in the class more effectively and specifically, and the class conditions of the students can be effectively evaluated according to the studentclass behavior recognition method.

Description

technical field [0001] The invention relates to the field of behavior recognition, in particular to a class behavior recognition method for students in the teaching field based on convolutional neural networks. Background technique [0002] Although there are more and more applications and related research of deep learning technology, in the field of classroom teaching analysis, through literature search, it is found that there are few application researches combined with deep learning technology, and there is a lack of representative solutions, but this does not mean that This means that it is impossible to introduce deep learning technology in the field of classroom teaching. In fact, in the current growing information-based teaching environment, classroom teaching video recording, as a carrier to record the classroom teaching process, has become a popular research object in classroom teaching research, because it can record real teaching activities comprehensively and com...

AI Technical Summary

Problems solved by technology

However, through a further understanding of the analysis process of various analysis systems at present, it can be found that most of the research processes have common deficiencies and problems: the labeling operation logic is complicated, misoperation is easy to occur, and the efficiency of manual labeling is low.

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