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Student expression recognition method and system based on deep learning

A technology of expression recognition and deep learning, applied in the field of image processing, can solve problems such as large amount of data, low overall efficiency, and long classroom duration

Active Publication Date: 2019-12-27
HENAN INST OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the long duration of the class and the large number of students, continuous data collection and identification will cause excessive data volume, resulting in low overall efficiency

Method used

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  • Student expression recognition method and system based on deep learning
  • Student expression recognition method and system based on deep learning

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Embodiment Construction

[0067] The purpose of the present invention is to use deep learning to construct a student facial expression recognition model in the classroom to improve the recognition efficiency of facial expressions.

[0068] The object of the present invention can be realized by the following technical solutions, with reference to the attached figure 1 :

[0069] A method for student expression recognition based on deep learning, said method comprising the following steps:

[0070] S1. Obtain the video frame of the face information of the first student in the video sequence;

[0071] In this embodiment, the image collection range needs to include all areas from the student's head to the desktop within the range of each student's seat. Specifically, the camera of the video acquisition device needs to use a 1 / 3 Progressive Scan CMOS sensor, and the horizontal adjustment angle is from -30° to 30°, the vertical angle is 0 to 80°, and the rotation angle is 0 to 360°.

[0072] First, the im...

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Abstract

The invention relates to a student expression recognition method and system based on deep learning. The method comprises the steps of obtaining a face information video frame of a first student in a video sequence; performing feature extraction on the face information of the first student, and constructing an expression recognition model; performing first recognition on the face information basedon the features; and when the first identification result exceeds a preset threshold, sending prompt information.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to a classroom monitoring method and system. Background technique [0002] In the teaching classroom, when the current teacher is in class, he may not be able to observe that some students are wandering in their thoughts and did not listen carefully to the class, which may cause students to miss some important knowledge points. With the rapid development of image recognition technology, some technologies are currently trying to use expression recognition technology to obtain real-time expressions of middle school students in the classroom, and use the camera to collect images to analyze the collected images in the camera. If there are multiple faces, each face All facial expressions and movements are analyzed to determine whether the student is currently in a state of desertion. However, due to the long duration of the class and the large number of students, the cont...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/174G06V40/168G06F18/2411G06F18/214
Inventor 刘秋云杨运华刘颖侯小鹏李丹露
Owner HENAN INST OF SCI & TECH