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Behavior risk intelligent early warning method and system for special personnel

A technology of risk intelligence and special personnel, which is applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve the problems that the research level has not reached the mature stage, the data involves personal privacy, and the level of informatization in prisons and communities is not high, so as to achieve small information The effect of loss, simple equipment requirements, and convenient operation

Pending Publication Date: 2020-09-29
SHANDONG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still many difficulties in the reasonable integration and unification of the daily behavior of prisoners' voice, video, shopping and other records. The level of informatization in prisons and communities is still not high, and it is impossible to carry out long-term and complete data collection for all target individuals. Part of the data of inmates involves personal privacy, and there are certain legal restrictions on whether it can be disclosed, so the research level is still far from reaching a mature stage

Method used

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  • Behavior risk intelligent early warning method and system for special personnel
  • Behavior risk intelligent early warning method and system for special personnel
  • Behavior risk intelligent early warning method and system for special personnel

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0040] In one or more implementations, a method for intelligent early warning of behavioral risks for special personnel is disclosed, referring to figure 1 , including the following process:

[0041] (1) Establish a sample data set represented by human physiological information in a set situation;

[0042] Specifically, the establishment process of the sample data set includes three parts: data collection, data standardization processing, and feature space optimization;

[0043] (1-1) Data collection. First, recruit a set number of volunteers serving sentences in or out of prison, and establish a sample data set. At the same time, it is required to have a full understanding of the background and actual performance of the subjects. In this embodiment, more than 200 volunteers serving sentences in or outside prison are recruited, and a data set with a sample size of about 200 is established; of course, the number of data sets can be set according to actual needs.

[0044] Suc...

Embodiment 2

[0081] In one or more implementations, a behavioral risk intelligent early warning system for special personnel is disclosed, including:

[0082] A device for establishing a sample data set represented by human physiological information in a set situation;

[0083] It is used to design an SVM classifier between every two different types of samples according to the sample types included in the sample data set; the sample types are devices of different levels of behavioral risk;

[0084] A device for obtaining and preprocessing the human physiological information data of the person to be tested in a set situation through the sensor;

[0085] A device for inputting the preprocessed data into each SVM classifier respectively; according to the data type output by each SVM classifier, selecting the data type with the largest number as the final behavioral risk level.

[0086] The specific implementation manner of the above-mentioned device adopts the method disclosed in the first e...

Embodiment 3

[0088] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the intelligent early warning method for behavioral risks for special personnel disclosed in Embodiment 1, and for the sake of brevity, details are not repeated here.

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Abstract

The invention discloses a behavior risk intelligent early warning method and system for special personnel. The method comprises the following steps: establishing a sample data set characterized by human physiological information in a set situation; designing an SVM classifier between every two different types of samples according to the sample types contained in the sample data set; acquiring human body physiological information data of a to-be-tested person in the set situation through a sensor and preprocessing the data; respectively inputting the preprocessed data into each SVM classifier;and according to the data type output by each SVM classifier, selecting the data type with the largest number as a final behavior risk level. According to the intelligent evaluation system based on the physiological data, a complete data set can be established by collecting human physiological signals of a specific scale at a time through a plurality of preprocessing operations, re-crime risk evaluation work can be completed only by inputting short-time multi-mode bioelectricity signals of a subject, and personal privacy data is not involved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence pattern recognition, in particular to an intelligent early warning method and system for behavioral risks for special personnel. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The recidivism of inmates includes community service (non-custodial corrective punishment or probation) persons engaging in illegal and criminal activities due to lax supervision, or persons released after serving their sentences who re-enter the road of illegal and criminal activities due to incomplete ideological reform and weak self-control ability. Re-offending is an experience-based crime. Criminals usually have certain anti-reconnaissance capabilities. Compared with first-time offenders and occasional offenders, criminal methods are more concealed, and they are often...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/00
CPCG06F2218/08G06F2218/12G06F18/217G06F18/2411
Inventor 刘治姚佳李玉军
Owner SHANDONG UNIV
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