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Identity recognition method based on AI education system

An identification and user technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as errors

Active Publication Date: 2022-04-29
成都节节高教育科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing techniques have employed eye gaze-based techniques for measuring human attention, but measuring facial gaze typically requires close-up, high-resolution images
However, when using long-distance, low-resolution images, it is susceptible to errors

Method used

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  • Identity recognition method based on AI education system

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Embodiment Construction

[0025] The following and accompanying appendices illustrating the principles of the invention Figure 1 A detailed description of one or more embodiments of the invention is provided together. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details.

[0026] One aspect of the present invention provides an identification method based on an AI education system. figure 1 It is a flow chart of the identification method based on the AI ​​education system according to the embodiment of th...

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Abstract

The invention provides an identity recognition method based on an AI education system. The method comprises the following steps: capturing input video frames of a plurality of lecture attending users; detecting a face area of the listening user; calculating a pixel average image of the group of face image windows to establish a face appearance model of the listener; generating paths of lecture attending users in the plurality of input video frames; estimating the detected face direction to calculate the concentration degree; detecting the number of human faces with front postures, and detecting class attending users who have gazed at a predefined time length in the direction of the display content; calculating the time of watching the display content by the lecture attending users to calculate the concentration degree of each lecture attending user; associating the limb behavior with one of a plurality of emotion type tags; and training a classifier by using features extracted from the video frame data, and detecting emotional feedback of the listener by using the classifier. According to the identity recognition method based on the AI education system, the method can better adapt to application scenes of low-resolution images, visual recognition and emotion recognition are combined, and the AI education system is helped to obtain the concentration degree distribution state of listening users in real time.

Description

technical field [0001] The present invention relates to intelligent education, in particular to an identification method based on an AI education system. Background technique [0002] In recent years, the combination of image recognition and education-related scenarios will gradually be applied to scenarios such as personalized education, automatic scoring, and speech recognition evaluation. Students receive tailor-made learning support to form an adaptive education for the future. In order to obtain the concentration of the students, the camera can be used to collect the frontal video of the students in the classroom; extracting the face area in the video image can judge the number of students who are listening carefully and the facial expressions of the students. Provide data support for educational effects. Existing technologies have used eye gaze-based techniques to measure human attention, but measuring facial gaze usually requires close-range, high-resolution images....

Claims

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Application Information

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IPC IPC(8): G06V40/16G06V20/40G06V10/764G06V10/774G06V10/25G06K9/62
CPCG06F18/24G06F18/214
Inventor 谢天明陈哲杨怡
Owner 成都节节高教育科技有限公司
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