Student learning behavior analysis intervention method, device and system

Abstract

The invention discloses a student learning behavior analysis intervention method, device and system, and the method comprises the steps: receiving real-time student video data and environment data ina classroom, carrying out the preprocessing, and extracting student visual features and air composition features; merging the student behavior features and the air component features into new featurevectors, performing feature fusion by utilizing artificial neural network analysis and processing to obtain real-time feature fusion data, and storing the real-time feature fusion data in a historicaldatabase; learning and training historical database data through a neural network algorithm, and carrying out data analysis on air conditions and student states to form a normal value model; and calculating an expected value of the current air condition and the student state by combining the real-time feature fusion data, comparing the expected value with the real-time feature fusion data, judging that the real-time data is normal data or abnormal data, finishing student learning behavior analysis, and adjusting environmental data according to an analysis result to carry out intervention.

Description

technical field [0001] The disclosure belongs to the technical field of intelligent monitoring, and relates to a student learning behavior analysis and intervention method, device and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the rapid rise of "Internet + smart terminals", the world is building "smart cities, smart transportation, smart homes" and so on, and finally proposed "smart earth" in terms of cities, transportation, electricity, medical care, banks, mines and supply chains. "The construction plan covers the whole industry and the whole field, so the campus is also slowly chasing the field of intelligent construction. [0004] Intelligent monitoring technology originates from computer technology, digital image processing technology and artificial intelligence technology. It uses computer vision and video analysi...

AI Technical Summary

Problems solved by technology

The existing monitoring of classroom behavior adopts the method of student recording, which cannot simultaneously realize the collection, analysis, recording and evaluation of students' classroom behavior; at present, the monitoring of classroom student behavior through video monitoring technology is gradually emerging, but the existing ones are only through Collect video and audio data for analysis. The data for student behavior analysis is relatively simple and cannot accurately reflect students' classroom behavior.

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