Psychological crisis early warning system

An early warning system and crisis technology, applied in the field of psychological analysis, can solve the problem that voice and video cannot accurately identify psychological crisis, and achieve the effect of improving efficiency and accuracy

Pending Publication Date: 2021-03-19
CHONGQING VOCATIONAL INST OF ENG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The invention provides a psychological crisis early warning system, which solves the technical problem that the prior art cannot accurately identify the psychological crisis only by analyzing voice and video

Method used

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  • Psychological crisis early warning system

Examples

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Embodiment 1

[0035] The embodiment of the psychological crisis early warning system of the present invention is basically as attached figure 1 shown, including:

[0036] The acquisition module is used for real-time acquisition of monitoring video;

[0037] The voice module is used to extract the voice data of the detected object in the surveillance video, and preliminarily judge whether the detected object may have a psychological crisis according to the characteristics of the voice: if the detected object is unlikely to have a psychological crisis, it is determined that no warning is required; on the contrary, if the detected object may In the event of a psychological crisis, send instructions to the video module for re-judgment;

[0038] The video module is used to extract the image data in the surveillance video, analyze the body movements of the detection object in the image, and judge whether the detection object may have a psychological crisis according to the characteristics of the...

Embodiment 2

[0061] The only difference from Embodiment 1 is that when it is determined that the student has a psychological crisis, the detection object is classified according to the human body characteristic data. For example, classify based on heart rate data. If the student's heart rate is 140 beats per minute, it indicates that the student has a relatively large mood swing and may have a tendency to violence, which is defined as "relatively serious", thereby prompting the teacher to focus on it. At the same time, taking "violent tendencies" as the core characteristic of the student, the follow-up teacher will carry out targeted education, so as to reduce his excessive behavior as much as possible.

Embodiment 3

[0063] The only difference from Example 2 is that the role identification of the students is carried out through interactive inquiry, that is, to determine whether the students are moderate or radical; wherein, the moderate students are calm, not easily agitated, and have little mood swings; Radical students are impulsive, easily agitated, and have big mood swings.

[0064] In this embodiment, the server is also equipped with a microphone and FaceReader software, and the students are asked some questions through a guided method, for example, "When seeing a friend being beaten by a bad guy, should I rush to help or call the police? "; At the same time, the camera takes photos of the students' facial expressions when answering the questions, and sends the photos to the server, and the FaceReader software analyzes the students' facial expressions.

[0065] FaceReader software can automatically analyze the students' facial expressions: if the student's answer is "alarm" and the fa...

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Abstract

The invention relates to the technical field of psychological analysis, in particular to a psychological crisis early warning system. The psychological crisis early warning system comprises an acquisition module, a voice module, a video module, a feature module and an early warning module, the acquisition module is used for acquiring a monitoring video in real time; the voice module is used for extracting voice data of a detection object in the monitoring video and preliminarily judging whether the detection object possibly has psychological crisis or not according to characteristics of the voice; the video module is used for extracting image data in the monitoring video, analyzing a body movement of the detection object in the image, and judging whether the detection object may have psychological crisis again according to characteristics of the body movement; the feature module is used for extracting a face image in the monitoring video, analyzing human body feature data of the detection object and judging whether the detection object is in a tension state or not; and the early warning module is used for receiving instructions and carrying out early warning. The psychological crisis of the detection object is judged only when the detection object is in the tension state, and a technical problem that the psychological crisis cannot be accurately recognized only by analyzing thevoice and the video in the prior art is solved.

Description

technical field [0001] The invention relates to the technical field of psychological analysis, in particular to a psychological crisis early warning system. Background technique [0002] Psychological crisis refers to the psychological reaction that occurs when individuals encounter unexpected events or face major setbacks and difficulties, and the parties themselves can neither avoid nor use their own resources and stress methods to solve them. Psychological crisis not only affects students' physical development and personality development, but may also affect classroom education and teaching. Therefore, it is necessary to carry out early warning of students' psychological crisis, early detection and early intervention. [0003] For example, document CN109101933A discloses a method for visual analysis of emotional behavior based on artificial intelligence, including the steps of: obtaining and storing image data and voice data collected in real time by shooting equipment, o...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61B5/0205A61B5/145A61B5/11
CPCA61B5/165A61B5/0205A61B5/14542A61B5/746A61B5/7267A61B5/1107A61B5/1128
Inventor 吴婷
Owner CHONGQING VOCATIONAL INST OF ENG
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