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Student psychological state pre-judging system based on motion social relation network

A technology of social relationship and psychological state, applied in biological neural network model, informatics, medical informatics and other directions, can solve the lack of subjective initiative, weak correlation, and the network model cannot handle text data well, which is high for mental health. Dimensional influence and other issues to achieve the effect of enhancing the ability to represent learning

Pending Publication Date: 2021-12-10
QINGDAO UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] 1) SLC-90 and other crisis state identification questions have a large number of questions, because the students themselves lack the subjective initiative to participate in answering questions, the enthusiasm for participating in answering questions is not high, the authenticity of the data is not reliable, and the correlation between the scales is not strong, resulting in the accuracy of the trained model. not tall
[0012] 2) Defects such as time-consuming and high operating costs, long pre-judgment time, and large human errors
[0013] 3) The amount of text data to be processed is large, and the network model cannot handle the high-dimensional impact of text data on mental health well

Method used

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  • Student psychological state pre-judging system based on motion social relation network
  • Student psychological state pre-judging system based on motion social relation network
  • Student psychological state pre-judging system based on motion social relation network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] This embodiment provides a student mental state prediction system based on the sports social network;

[0048] Such as figure 1 , image 3 with Figure 4 As shown, the students' mental state prediction system based on the sports social network includes:

[0049] The acquisition module is configured to: acquire the sports data information and text information of the target student and the target student's classmates; wherein, the target student's classmates are: at least once at the same place and at the same time point, have a common exercise with the target student Condition;

[0050] The preprocessing module is configured to: normalize the motion data information of the target student and the target student's classmates, perform vector conversion processing on the normalized data, and splicing the converted vectors, based on Splicing the processed results to get the sports social network of the target students;

[0051] The fusion module is configured to: integra...

Embodiment 2

[0120] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory to cause the electronic device to perform the following steps:

[0121] Obtain the sports data information and text information of the target student and the target student's classmates; among them, the target student's classmates are: at least once at the same place and at the same time point, there is a joint exercise with the target student;

[0122] Normalize the movement data information of target students and target students’ classmates respectively, perform vector conversion processing on the normalized data, and splicing the converted vectors. Based on the splicing results, the target studen...

Embodiment 3

[0131] This embodiment also provides a computer-readable storage medium for storing computer instructions, and when the computer instructions are executed by a processor, the following steps are performed:

[0132] Obtain the sports data information and text information of the target student and the target student's classmates; among them, the target student's classmates are: at least once at the same place and at the same time point, there is a joint exercise with the target student;

[0133]Normalize the movement data information of target students and target students’ classmates respectively, perform vector conversion processing on the normalized data, and splicing the converted vectors. Based on the splicing results, the target student sports social network;

[0134] Integrate the target student's sports social network with text information to obtain the characteristics of the fusion of surrounding environment information;

[0135] For the characteristics of the fusion of...

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Abstract

The invention discloses a student psychological state pre-judgment system based on a motion social relation network. The system comprises: an acquisition module configured to acquire a target student and exercise data information and text information of a student of the target student; a preprocessing module which is configured to perform normalization processing on the target students and the motion data information of the students of the target students, perform vector conversion processing on the data after normalization processing, perform splicing processing on vectors obtained by conversion, and obtain a motion social relation network of the target students based on a result after splicing processing; a fusion module which is configured to fuse the motion social relation network of the target student with the text information to obtain features of fused surrounding environment information; and a prediction module which is configured to process the features fused with the surrounding environment information by adopting the trained student psychological state pre-judgment model to obtain the predicted psychological state of the target student. The method can be used for prejudging psychological problems.

Description

technical field [0001] The invention relates to the technical field of sports social relationship and psychological problem prediction, in particular to a student mental state prediction system based on the sports social relationship network. Background technique [0002] The statements in this section merely mention the background technology related to the present invention, and do not necessarily constitute the prior art. [0003] After students have psychological problems, they will start to be reluctant to communicate with others, and their personality will gradually become withdrawn, and then they will tend to be depressed and easily conflict with others. Any of the above situations will affect the development of students themselves and cause damage to society. At present, colleges and universities find that such methods for students with such psychological problems are time-consuming, costly, inefficient, and have defects such as high error rate, poor accuracy, and lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/30G16H20/70G16H50/20G06Q50/00G06Q50/20G06N3/04G06N3/08
CPCG16H20/30G16H20/70G16H50/20G06Q50/01G06Q50/205G06N3/084G06N3/044G06N3/045
Inventor 杜军威房敏营隋建飞荆广辉毛长明李海玲刘耀泽段培誉肖东
Owner QINGDAO UNIV OF SCI & TECH
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