CN106236116A - A kind of inmate's emotion monitoring method and system - Google Patents
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Abstract
The invention discloses a kind of inmate's emotion monitoring method and system, every physiological data by multiple physiological data collection module Real-time Collection inmates, its emotional state of physiological data analysis according to inmate, realize the accurate perception to inmate's emotional state, to dredge in time, so as to be effectively prevented the generation of accident, improve monitoring capacity and the efficiency of management in prison.
Description
Technical Field
The invention relates to a method and a system for monitoring emotions of prisoners, belonging to the field of intelligent monitoring.
Background
Emotion is an internal feeling or attitude experience of humans for various cognitive subjects, and is an inherent psychological response. There are four generally recognized basic emotions, namely happiness, anger, fear, and sadness. Mood is always associated with need, an important basis for mood generation when needed. The mood has positive or negative properties depending on whether the need is met or not. Anything that meets the need that has already been stirred up or encourages such a need to be met can cause negative emotions, such as hating, being bitter, being unsatisfied, etc. The key to the generation of different emotions is the stimulus in the objective environment and the judgment of people on objective things.
It is reported in the literature that persons serving prisons all have a certain psychological level of decline, with the fluctuation of mood being most evident. Foreign related research shows that the number of criminals with mental disorders and psychological problems is more than 2 times of that of the general population. About 20% of criminals suffer from various psychological disorders, and 70% are less than normal in health. The criminal personnel are out of a very special environment, and the emotional changes of the criminal personnel are different from those of the common people particularly in the characteristics of the criminal personnel. The management of the prisoners is to a great extent to control the change of the emotions in time, so that the occurrence of dangerous behaviors is effectively reduced or avoided, and the correction and transformation effects are enhanced.
Prisons are places for forcibly managing criminals, and aim to realize labor reformation of criminals. Prisoners are special groups, are isolated from the society for a long time, and are provided with strict prisoner rules and heavy labor tasks, so that the group life of the prisoners is insufficient, and the prisoners cannot communicate with the ordinary people in the same day in daily life. This leads to the mind of the person serving, which is more or less problematic. Therefore, it is important to stabilize their mood, dredge them instantly, and relieve them timely.
Research shows that the emotion has internal experience and external behavior, and also has physiological mechanism. Due to the activity of the autonomic nervous system, when an organism is in a certain emotional state, a series of physiological changes occur therein, and the index for measuring these changes is a physiological index (physiological index).
Disclosure of Invention
The invention aims to solve the technical problem of providing a prisoner emotion monitoring method and system, which are characterized in that various physiological data of prisoners are collected in real time through a plurality of physiological data collection modules, the emotion states of the prisoners are analyzed according to the physiological data of the prisoners, and the emotion states of the prisoners are accurately sensed so as to dredge in time, so that sudden events can be effectively prevented, and the monitoring capability and the management efficiency of prisons are improved.
The invention adopts the following technical scheme for solving the technical problems:
on one hand, the invention provides a method for monitoring the emotion of a prisoner, which comprises the following steps:
step 1, periodically collecting various physiological indexes of a prisoner to obtain physiological data of the prisoner in each period;
step 2, counting physiological characteristic vectors of physiological data of each period of the prisoner, specifically:
201, presetting a normal range of each physiological index;
202, respectively counting the arithmetic mean of each physiological index in a period, if the mean is higher than the normal range of the physiological index, then 1 is used to represent the physiological data characteristic value of the physiological index in the period; if the average value is lower than the normal range of the physiological index, representing the physiological data characteristic value of the physiological index in the period by-1; otherwise, the value is 0; thus obtaining physiological characteristic vectors, wherein the elements of the physiological characteristic vectors are physiological data characteristic values of various physiological indexes;
step 3, establishing a mapping table from the physiological characteristic vector to an emotional state through a classification method according to the historical physiological characteristic vector of the prisoner;
step 4, analyzing the current emotional state of the prisoner according to the physiological feature vector of the prisoner in the current period, and realizing the emotion monitoring of the prisoner, which specifically comprises the following steps:
401, judging whether the emotion of a prisoner fluctuates, specifically: comparing elements in the physiological characteristic vector of the current period with elements in the physiological characteristic vector of the previous period, if the variation number of the elements exceeds half of the length of the physiological characteristic vector, judging that the emotion fluctuates, and executing 502; otherwise, judging that the emotion does not fluctuate, and waiting for processing the multi-dimensional physiological data of the next period;
402, judging the emotion change trend of the prisoner, specifically: if the physiological feature vector of the current period contains at least two non-0 elements, judging that the emotion is unstable, and executing 503; otherwise, judging the emotional stability, and waiting for processing the multi-dimensional physiological data of the next period;
and 403, inquiring a mapping table from the physiological characteristic vector to the emotional state according to the physiological characteristic vector of the prisoner in the current period to obtain the current emotional state of the prisoner.
As a further optimization scheme of the present invention, step 1 further includes performing feature dimension reduction on the acquired physiological data, where the feature dimension reduction includes feature extraction and feature selection.
As a further optimization scheme of the invention, the characteristic dimension reduction is carried out by adopting a principal component analysis or independent component analysis or linear difference analysis or a Kohonen matching method.
As a further optimization scheme of the invention, the classification method in the step 3 is decision tree or proximity algorithm KNN or support vector machine SVM.
As a further optimization scheme of the invention, the emotional states in the step 3 are divided into four levels of happiness, anger, sadness and terror.
On the other hand, the invention also provides a sentiment person emotion monitoring system, which comprises a wearable terminal and a management terminal, wherein the wearable terminal comprises a wrist strap, a plurality of physiological data acquisition modules and a first wireless transmission module, the physiological data acquisition modules and the first wireless transmission module are arranged on the wrist strap, the management terminal comprises a second wireless transmission module, a physiological data storage module, an emotion perception module and a display module, and the emotion perception module comprises a dimensionality reduction analysis module and an emotion grading module; the wearable terminal and the management terminal establish cooperative communication through the first wireless transmission module and the second wireless transmission module;
the wrist strap is worn on the wrist of a person taking a criminal, and the physiological data acquisition module acquires various physiological data of the person taking a criminal in real time and periodically transmits the physiological data to the management terminal through the first wireless transmission module; the second wireless transmission module transmits the received physiological data sent by the wearable terminal to the physiological data storage module for storage; the dimension reduction analysis module performs feature dimension reduction on the physiological data stored by the physiological data storage module, wherein the feature dimension reduction comprises feature extraction and feature selection to generate an optimal dimension space; the emotion grading module carries out physiological characteristic vector statistics on the multidimensional physiological data subjected to dimensionality reduction, establishes a mapping table from the physiological characteristic vectors to emotional states, and analyzes the current emotional state of the prisoner according to the physiological characteristic vectors in the current period of the prisoner; and the display module displays the current emotional state of the prisoner obtained by analyzing the emotion grading module.
As a further optimization scheme of the invention, the wearable terminal further comprises a data preprocessing module for filtering the multi-dimensional physiological data acquired by the physiological data acquisition module and filtering out acquisition errors and errors.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects: according to the invention, the physiological data of the prisoners are collected in real time by the plurality of physiological data collecting modules, and the emotional states of the prisoners are analyzed according to the physiological data of the prisoners, so that the emotional states of the prisoners are accurately sensed, and are convenient to dredge in time, thereby effectively preventing emergencies and improving the monitoring capability and the management efficiency of prisons.
Detailed Description
The technical scheme of the invention is further explained in detail as follows:
the emotion monitoring system for the prisoners comprises a wearable terminal and a management terminal, wherein the wearable terminal is used for preprocessing various physiological data of the prisoners acquired by different physiological data acquisition modules, and periodically sending the physiological data to the management terminal after rough errors are eliminated; and the management terminal is used for establishing connection with the plurality of physiological data acquisition modules, performing dimensionality reduction analysis on the received physiological data, designing a multi-dimensional physiological characteristic vector, and analyzing the emotional state of the prisoner according to the known characteristic vector by utilizing an emotion classification technology.
The wearable terminal comprises a plurality of physiological data acquisition modules, a data preprocessing module and a first wireless transmission module, wherein the plurality of physiological data acquisition modules acquire various physiological data of a criminal person in real time by utilizing various sensors, wherein the sensors comprise but are not limited to body temperature sensors, pulse sensors, blood pressure sensors and the like, and the corresponding physiological parameters comprise but are not limited to body temperature, pulse, blood pressure and the like; the data preprocessing module is used for filtering the acquired physiological data and removing acquisition errors and errors; and the first wireless transmission module is used for transmitting data by adopting wireless technologies such as WIFI (wireless fidelity), Bluetooth and the like, transmitting a signaling by adopting a UDP (user datagram protocol) grouping technology and establishing cooperative communication with the management terminal.
The management terminal comprises a second wireless transmission module, a physiological data storage module and an emotion perception module. And the second wireless transmission module is used for transmitting data by adopting wireless technologies such as WIFI (wireless fidelity), Bluetooth and the like, transmitting a signaling by adopting a UDP (user datagram protocol) grouping technology, and establishing cooperative communication with the wearable terminal. And the physiological data storage module is used for storing the physiological data acquired by each physiological data acquisition module. The emotion perception module comprises a dimensionality reduction analysis module and an emotion grading module, wherein the dimensionality reduction analysis module is used for performing feature extraction and feature selection on the stored physiological data to generate an optimal dimensionality space; and the emotion grading module is used for designing a multi-dimensional physiological characteristic vector and analyzing the current emotional state of the prisoner by utilizing the current physiological characteristic vector of the prisoner and a mapping table from the physiological characteristic vector to the emotional state. Prison managers can monitor the emotional state of prisoners in real time through the management terminal so as to avoid the occurrence of emergencies.
The invention also provides a criminal emotion monitoring method, which comprises the following steps:
step S201, connecting the wearable terminal with a management terminal in a wireless mode;
step S202, carrying out multi-dimensional and multi-contact acquisition on physiological data of prisoners through a plurality of physiological data acquisition modules, carrying out data preprocessing and then sending the preprocessed data to a mobile phone terminal;
step S203, performing dimension reduction analysis on the high-dimensional physiological data acquired by multiple dimensions and multiple contacts through a dimension reduction technology;
and S204, designing a multi-dimensional physiological characteristic vector, and analyzing the emotional state of the prisoner according to the known characteristic vector by utilizing an emotion classification technology.
In S201, the connection between the wearable terminal and the management terminal in a wireless manner includes data transmission using wireless technologies such as WIFI and bluetooth, signaling transmission using UDP packet technology, and establishment of cooperative communication between the wearable terminal and the management terminal. In S202, the physiological data collected by the physiological data collecting module includes, but is not limited to, body temperature, blood pressure, heart rate, pulse, respiration, calories, etc. The specific method for preprocessing the data comprises the following steps: and for each item of physiological data, respectively screening the data by using a Grubbans criterion, calculating the Grubbans distribution corresponding to the elements in each item of physiological data set, comparing the Grubbans distribution with a critical value, if the Grubbans distribution is larger than the critical value, considering the elements as coarse errors, and removing the elements, wherein the critical value is obtained by searching a corresponding Grubbans critical value table according to the number of the elements in the physiological data set.
Wherein, the dimension reduction technique in S203 includes, but is not limited to, principal component analysis, independent component analysis, linear difference analysis, Kohonen matching, etc.; the multi-dimensional, multi-touch acquisition, i.e. for different physiological indicators PiMulti-point collection to obtain multi-dimensional physiological space S ═ (P)1,..,Pi,..,PN) In which P isi＝(Pi1,..,Pij,..,PiM)，PiIndicates the ith physiological index, PijData representing a measurement at a jth monitoring point for an ith physiological metric; n represents the number of the monitoring types of the physiological indexes, M represents the number of monitoring points of each physiological index, i is more than or equal to 1 and less than or equal to N, and j is more than or equal to 1 and less than or equal to M. The physiological indicators include, but are not limited to, heart rate, body temperature, pulse, blood pressure, blood oxygen, respiration, calories, etc.; performing dimensionality reduction analysis on the physiological data to obtain a low-dimensional physical space S ═ (P)1,..,Pi,..,Pn) Wherein N is less than N.
The specific method for performing the dimension reduction analysis on the physiological data comprises the following steps: firstly, extracting characteristics of multi-dimensional physiological data, filtering physiological indexes reflecting similar physiological characteristics, such as heart rate and pulse, wherein the physiological characteristics expressed by the physiological indexes are consistent under the general condition, so that only data analysis of one index is needed, and the other indexes are filtered; secondly, the characteristics of the multi-dimensional physiological data are selected, physiological indexes sensitive to emotion change, such as body temperature, blood pressure and the like, are selected, other physiological indexes, such as calorie, blood oxygen and the like, cannot be directly related to the emotion of criminals, and can be directly filtered out, so that the purpose of reducing the dimension is achieved.
In S204, a multidimensional physiological feature vector is designed, and the specific method includes: firstly, presetting a normal range of each physiological index, such as blood pressure, taking systolic pressure as an example, wherein the normal range is 90-130 mmHg; body temperature, normal range is 36-37 ℃; pulse, normal range 60-100/min. In a period T, respectively counting the arithmetic mean value of each physiological indexIf it isIf the physiological index is higher than the normal range of the physiological index, 1 is used for representing the physiological data of the ith physiological index in the period; if the range is lower than the normal range, the expression is-1; otherwise, the value is 0; wherein,in general, the period T is preferably within one hour. Therefore, a group of physiological characteristic vectors can be obtained according to the average value of each physiological index, and the physiological characteristic vectors are used for subsequent emotion analysis.
The emotion grading technology is characterized in that physiological feature vectors of each historical period of a prisoner are counted, a mapping table from the physiological feature vectors to emotion states is established through a classification method, for example, the physiological feature vectors (1, 0, -1) indicate that the blood pressure of the prisoner is high, the pulse is normal, and the body temperature is low, the symptoms can be caused by excessive fear and fear of the prisoner, and then the vectors and emotion 'fear' can be established to be in corresponding relation; the physiological characteristic vector (1, 1, 1) represents that the blood pressure, the pulse and the body temperature of a person taking a criminal are high, the symptom is probably caused by overexcitation and excitement of the person taking a criminal, and the vector can be used for establishing a corresponding relation with emotion 'liking'; the physiological characteristic vector (-1, -1, 0) indicates that the blood pressure of the person taking a criminal is low, the pulse is weak, the body temperature is normal, the symptom is probably caused by excessive sadness and depression of the person taking a criminal, further gastric secretion is inhibited, the appetite is not good, and the physical strength is not sufficient, so that the vector and the emotion 'sadness' can be established to be in a corresponding relation; and as the physiological characteristic vector (1, 0, 1) represents that the blood pressure of a person taking a criminal is high, the pulse is normal, and the body temperature is high, the symptom can be caused by that the person taking a criminal is extremely angry, and the vector can be corresponding to the emotion 'anger'.
The specific process of analyzing the emotional state of the prisoner is as follows: firstly, in a period T, judging whether the emotion of a prisoner fluctuates: comparing elements in the physiological characteristic vectors of the two periods T before and after, and if the number of the element changes exceeds half of the length of the physiological characteristic vector, determining that the emotion fluctuates; further, judging the emotion change trend of the prisoner, and if the physiological characteristic vector contains at least two non-0 items, considering that the emotion is unstable; and finally, under the condition that the emotion fluctuation and instability of the prisoner are met, inquiring a mapping table from the physiological characteristic vector to the emotional state according to the physiological characteristic vector of the prisoner in the period, and obtaining the emotional state of the prisoner.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can understand that the modifications or substitutions within the technical scope of the present invention are included in the scope of the present invention, and therefore, the scope of the present invention should be subject to the protection scope of the claims.
Claims (7)
1. A criminal emotion monitoring method is characterized by comprising the following specific steps:
step 1, periodically collecting various physiological indexes of a prisoner to obtain physiological data of the prisoner in each period;
step 2, counting physiological characteristic vectors of physiological data of each period of the prisoner, specifically:
201, presetting a normal range of each physiological index;
202, respectively counting the arithmetic mean of each physiological index in a period, if the mean is higher than the normal range of the physiological index, then 1 is used to represent the physiological data characteristic value of the physiological index in the period; if the average value is lower than the normal range of the physiological index, representing the physiological data characteristic value of the physiological index in the period by-1; otherwise, the value is 0; thus obtaining physiological characteristic vectors, wherein the elements of the physiological characteristic vectors are physiological data characteristic values of various physiological indexes;
step 3, establishing a mapping table from the physiological characteristic vector to an emotional state through a classification method according to the historical physiological characteristic vector of the prisoner;
step 4, analyzing the current emotional state of the prisoner according to the physiological feature vector of the prisoner in the current period, and realizing the emotion monitoring of the prisoner, which specifically comprises the following steps:
401, judging whether the emotion of a prisoner fluctuates, specifically: comparing elements in the physiological characteristic vector of the current period with elements in the physiological characteristic vector of the previous period, if the variation number of the elements exceeds half of the length of the physiological characteristic vector, judging that the emotion fluctuates, and executing 502; otherwise, judging that the emotion does not fluctuate, and waiting for processing the multi-dimensional physiological data of the next period;
402, judging the emotion change trend of the prisoner, specifically: if the physiological feature vector of the current period contains at least two non-0 elements, judging that the emotion is unstable, and executing 503; otherwise, judging the emotional stability, and waiting for processing the multi-dimensional physiological data of the next period;
and 403, inquiring a mapping table from the physiological characteristic vector to the emotional state according to the physiological characteristic vector of the prisoner in the current period to obtain the current emotional state of the prisoner.
2. The emotion monitoring method for prisoners as claimed in claim 1, wherein step 1 further comprises performing feature dimension reduction on the collected physiological data, wherein the feature dimension reduction comprises feature extraction and feature selection.
3. A criminal emotion monitoring method according to claim 2, wherein the feature dimensionality reduction is performed using principal component analysis or independent component analysis or linear difference analysis or Kohonen matching method.
4. The emotion monitoring method for prisoners as claimed in claim 1, wherein the classification method in step 3 is decision tree or proximity algorithm KNN or support vector machine SVM.
5. The emotion monitoring method for prisoners as claimed in claim 1, wherein the emotional states in step 3 are classified into four levels of happiness, anger, sadness and fear.
6. The emotion monitoring system for prisoners is characterized by comprising a wearable terminal and a management terminal, wherein the wearable terminal comprises a wrist strap, a plurality of physiological data acquisition modules and a first wireless transmission module, the physiological data acquisition modules and the first wireless transmission module are arranged on the wrist strap, the management terminal comprises a second wireless transmission module, a physiological data storage module, an emotion perception module and a display module, and the emotion perception module comprises a dimensionality reduction analysis module and an emotion grading module; the wearable terminal and the management terminal establish cooperative communication through the first wireless transmission module and the second wireless transmission module;
the wrist strap is worn on the wrist of a person taking a criminal, and the physiological data acquisition module acquires various physiological data of the person taking a criminal in real time and periodically transmits the physiological data to the management terminal through the first wireless transmission module; the second wireless transmission module transmits the received physiological data sent by the wearable terminal to the physiological data storage module for storage; the dimension reduction analysis module performs feature dimension reduction on the physiological data stored by the physiological data storage module, wherein the feature dimension reduction comprises feature extraction and feature selection to generate an optimal dimension space; the emotion grading module carries out physiological characteristic vector statistics on the multidimensional physiological data subjected to dimensionality reduction, establishes a mapping table from the physiological characteristic vectors to emotional states, and analyzes the current emotional state of the prisoner according to the physiological characteristic vectors in the current period of the prisoner; and the display module displays the current emotional state of the prisoner obtained by analyzing the emotion grading module.
7. The emotion monitoring system for prisoners as claimed in claim 6, wherein the wearable terminal further comprises a data preprocessing module for filtering the multi-dimensional physiological data collected by the physiological data collecting module to filter out collection errors and errors.
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| CN109697472A (en) * | 2018-12-28 | 2019-04-30 | 杭州翼兔网络科技有限公司 | One seed mood incorporates method into |
| CN111184521A (en) * | 2020-01-20 | 2020-05-22 | 北京津发科技股份有限公司 | Pressure identification bracelet |
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