The invention relates to a classroom abnormal behavior intelligent detection and teaching intervention
system, and the
system comprises a data collection layer which is used for obtaining multi-
modal data in a student classroom; the multi-
modal data comprises a student classroom performance image set and sound signals of corresponding time; the data
standardization layer is used for carrying out preprocessing and
time synchronization on the multi-
modal data to obtain standardized multi-
modal data; the abnormal behavior detection layer is used for inputting the standardized multi-
modal data into a behavior state classification model to obtain a behavior
classification result; the behavior
classification result comprises a
behavior type, behavior duration and an intervention level
label; the intervention decision-making layer is used for generating a teaching intervention instruction by utilizing the behavior
classification result based on intervention decision-making logic; the teaching intervention instruction comprises a
system prompting instruction and a teacher intervention reminding instruction. By adopting the system, behaviors of students can be identified and classified, targeted intervention is performed, the classroom teaching efficiency is improved, and the system assists in reminding the students to quickly return to a normal learning state.