CN115188466A - Feature analysis-based inquired auxiliary method and system - Google Patents
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Abstract
The invention provides a feature analysis-based inquired auxiliary method and system, which relate to the technical field of digital processing, and comprise the following steps: acquiring data of a target inquired user to obtain a user data set; performing feature extraction to obtain video features, physiological features and personnel features; sending the video characteristics, the physiological characteristics and the personnel characteristics to the inquired auxiliary terminal; comparing the characteristics to obtain a preset monitoring index; determining an early warning value of an abnormity early warning device and acquiring abnormity information; inputting an abnormal prediction model of the inquired auxiliary terminal to obtain an abnormal pointing result; and sending the information to related management personnel. The technical problem that inquiry assistance can not be provided for the police service management personnel through customization, and inquiry safety can not be effectively guaranteed is solved, and based on characteristic analysis and combination of video information, physiological feedback information and personnel basic information of inquired users, the technical effects that inquiry assistance is provided for the police service management personnel through customization, execution of police service work is guaranteed, and inquiry safety is improved are achieved.
Description
Technical Field
The invention relates to the technical field of digital processing, in particular to a feature analysis-based inquired assisting method and system.
Background
When a suspect is queried by a police officer, the suspect may have an abnormal condition due to the queried environment or the physical condition of the suspect, the queried assistance simply generates an abnormal prompt through the queried assistance system, the abnormal prompt can prompt the police officer to have the abnormal condition, and the assistance police officer eliminates the abnormal condition and is generally used for queried chair equipment.
The inquired process is pertinently assisted by inquired chair equipment, so that the occurrence probability of dangerous behaviors such as self-disability of a suspect is reduced, and the safe execution of police work is ensured to provide technical support.
The technical problem that inquiry assistance cannot be customized for police service management personnel, and inquiry safety cannot be effectively guaranteed exists in the prior art.
Disclosure of Invention
By providing the inquiring assisting method and system based on the characteristic analysis, the technical problem that inquiring assistance cannot be effectively guaranteed due to the fact that the inquiring assistance cannot be provided for the police service management personnel through customization is solved, the inquiring assistance is provided for the police service management personnel through customization, the execution of the police service work is guaranteed, and the technical effect of inquiring safety is improved.
In view of the above problems, the present application provides a query assisting method and system based on feature analysis.
In a first aspect, the present application provides a feature analysis-based query assistance method, where the method is applied to a feature analysis-based query assistance system, the system is communicatively connected to a data acquisition device and an abnormality early warning device, and the method includes: according to the data acquisition device, data acquisition is carried out on a target inquired user to obtain a user data set, wherein the user data set comprises user video information, physiological feedback information and personnel basic information; performing feature extraction on the user video information, the physiological feedback information and the personnel basic information to obtain video features, physiological features and personnel features; accessing an auxiliary terminal to be inquired, and transmitting the video characteristics, the physiological characteristics and the personnel characteristics to the auxiliary terminal to be inquired; according to a feature comparison analysis library stored by the inquired auxiliary terminal, comparing features of the target inquired user to obtain a preset monitoring index; taking the preset monitoring index as an early warning value of the abnormity early warning device to acquire abnormity information; inputting the abnormal information into an abnormal prediction model of the inquired auxiliary terminal, and acquiring an abnormal pointing result according to the abnormal prediction model; and sending the abnormal pointing result to related management personnel through the inquired auxiliary terminal.
In a second aspect, the present application provides a feature analysis-based assisted inquiry system, wherein the system is connected to a data acquisition device and an abnormality warning device in communication, and the system includes: the data acquisition unit is used for acquiring data of a target inquired user according to the data acquisition device and acquiring a user data set, wherein the user data set comprises user video information, physiological feedback information and personnel basic information; a feature extraction unit, configured to extract features of the user video information, the physiological feedback information, and the person basic information to obtain video features, physiological features, and person features; the feature transmitting unit is used for accessing an inquired auxiliary terminal and transmitting the video feature, the physiological feature and the personnel feature to the inquired auxiliary terminal; the characteristic comparison and analysis unit is used for comparing the characteristics of the target inquired user according to a characteristic comparison and analysis library stored in the inquired auxiliary terminal to obtain a preset monitoring index; an abnormal information acquisition unit, configured to acquire abnormal information by using the preset monitoring index as an early warning value of the abnormal early warning device; an abnormal direction result obtaining unit, configured to input the abnormal information into an abnormal prediction model of the queried auxiliary terminal, and obtain an abnormal direction result according to the abnormal prediction model; and the result sending unit is used for sending the abnormal pointing result to related management personnel through the inquired auxiliary terminal.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the data acquisition device is adopted to acquire data of a target inquired user and acquire a user data set; performing feature extraction to obtain video features, physiological features and personnel features; accessing the inquired auxiliary terminal, and sending the video characteristics, the physiological characteristics and the personnel characteristics to the inquired auxiliary terminal; according to the characteristic comparison analysis library, carrying out characteristic comparison on a target inquired user to obtain a preset monitoring index; taking a preset monitoring index as an early warning value of an abnormity early warning device to acquire abnormity information; inputting the abnormal information into an abnormal prediction model of the inquired auxiliary terminal, and acquiring an abnormal pointing result according to the abnormal prediction model; and sending the abnormal pointing result to related management personnel through the inquired auxiliary terminal. The embodiment of the application is based on characteristic analysis, and combines the video information, the physiological feedback information and the personnel basic information of the inquired user, so that the technical effects of providing inquiry assistance for the police management personnel, guaranteeing the execution of the police work and improving the inquiry safety are achieved.
Drawings
FIG. 1 is a schematic flow chart of a query-assisted method based on feature analysis according to the present application;
FIG. 2 is a schematic flow chart of the output physiological characteristics of a query-assisted method based on characteristic analysis according to the present application;
FIG. 3 is a schematic flow chart illustrating the adjustment of abnormal information according to sitting comfort in a query assistance method based on feature analysis according to the present application;
fig. 4 is a schematic structural diagram of a queried assistance system based on feature analysis according to the present application.
Description of reference numerals: the system comprises a data acquisition unit 11, a feature extraction unit 12, a feature sending unit 13, a feature comparison analysis unit 14, an abnormal information acquisition unit 15, an abnormal direction result acquisition unit 16 and a result sending unit 17.
Detailed Description
By providing the method and the system for assisting in being inquired based on the characteristic analysis, the technical problem that inquiry assistance can not be provided for the police service management personnel by customization so that inquiry safety can not be effectively guaranteed is solved, and the technical effects that the inquiry assistance can be provided for the police service management personnel by customization, the execution of the police service work is guaranteed, and the inquiry safety is improved are achieved.
Example one
As shown in fig. 1, the present application provides a feature analysis-based query assistance method, where the method is applied to a feature analysis-based query assistance system, the system is communicatively connected to a data acquisition device and an abnormality warning device, and the method includes:
s100: according to the data acquisition device, data acquisition is carried out on a target inquired user, and a user data set is obtained, wherein the user data set comprises user video information, physiological feedback information and personnel basic information;
s200: extracting the characteristics of the user video information, the physiological feedback information and the personnel basic information to obtain video characteristics, physiological characteristics and personnel characteristics;
specifically, the communication connection is simply formed by transmission and interaction of signals, and communication is formed between the queried auxiliary system, the data acquisition device and the abnormality early warning device, the data acquisition device is a generic name of a data acquisition unit, the data acquisition device includes, but is not limited to, an image acquisition unit, an information import unit, and a feedback input unit, the image acquisition unit may be an image information acquisition device such as a camera, the information import unit includes an interface circuit and an interface device, the interface device invokes and records data information into the queried auxiliary system through the interface circuit, the feedback input unit is integrated inside the queried auxiliary system, and can detect physiological feedback information of the target queried user, the target queried user is a suspect, and the target queried user may be an elderly person, a middle-aged person, or a young person, the target inquired user can be male or female, the target inquired user is not limited, the user data set comprises user video information, physiological feedback information and personnel basic information, the user video information is real-time image monitoring information of the target inquired user, the physiological feedback information comprises but is not limited to heartbeat frequency and respiratory frequency of the target inquired user, illustratively, the heartbeat frequency of the target inquired user can be collected in a sensor stress patch sensing mode, the collection mode is preferably verified, the collection mode is not limited uniquely, the personnel basic information comprises but is not limited to age, sex and height of the target inquired user, data collection is carried out on the target inquired user according to the data collection device, and user video information, physiological feedback information and personnel basic information are obtained, and a complete data base is provided for subsequent data analysis.
Specifically, feature extraction can be performed on the user video information through algorithms such as Scale-Invariant Feature Transform (Scale-Invariant Feature Transform), surf (Speeded Up Robust Features) and the like to obtain video Features, the video Features include other relevant Feature indexes such as video timing Features, the physiological feedback information is intercepted, feature extraction is performed on the intercepted information respectively, feature fusion is performed on Feature extraction results to obtain the physiological Features, the physiological Features include, but are not limited to, respiration Features and heart rate Features, feature fusion is performed on the Feature extraction results through clustering analysis, the clustering analysis relevant algorithms can include other relevant clustering algorithms such as a K-means algorithm and a K-means algorithm, and based on a bp back propagation algorithm, feature extraction training is performed on the personnel basic information to obtain personnel Features, which include, but are not limited to, age Features, gender Features, height Features and other relevant Features, so as to provide support for subsequent data analysis.
Specifically, for example, if the target inquired user is a crowd with mental disorders such as depression or physical disorders such as pregnant women, the target inquired user may be induced to have abnormal emotions such as anxiety and irritability during the inquiry process, and the staff characteristics are determined according to the staff basic information of the user, so as to provide technical support for providing customized inquiry assistance.
Illustratively, four physiological parameters of the target inquired user, namely ear pulse wave, heart rate, blood oxygen and blood pressure, are used as physiological feedback information, and upper computer software of an inquired auxiliary system for performing feature analysis is preferably verified and developed according to the principle of modularization, low coupling and high cohesion, so that later expansion and upgrading maintenance are facilitated.
Further specifically, the pulse wave adopts PPG (photo plethysmography), noninvasive detection is performed by using a photoplethysmography pulse sensor at light-permeable positions such as a human fingertip and an earlobe, special application scenes in the project are considered, a concha cavity is selected as a detection point, heart rate and blood oxygen can be extracted from an ear pulse wave signal through algorithm analysis, and an active component of an ear pulse probe is the photoplethysmography pulse sensor comprising a transmitting diode and a receiving diode.
Further specifically, the queried auxiliary system includes a data acquisition device, upper computer software, and an abnormality early warning device. The sensor is integrated in data acquisition device, gather the signal of physiological parameters such as ear pulse, rhythm of the heart, blood oxygen, blood pressure, through the collection of physiology collection equipment, preliminary treatment, transmission, based on communication connection's communication link, real-time transmission to system host computer software, realize the demonstration of data, storage, playback, and accessible host computer software remote configuration, control data acquisition device, the sensor of physiological parameter collection inside needs the correct connection parameter that sets up before being connected with host computer software, such as IP address, port number, mode, sampling rate, parameters such as gain.
Further, the embodiment of the present application further includes:
s210: acquiring a video dynamic frame by capturing the motion of the user video information, wherein the video dynamic frame is a video frame with a large motion change amplitude of the user;
s220: recording dynamic time nodes according to the video dynamic frames;
s230: generating an image distribution set according to the mapping relation between the dynamic time node and the video dynamic frame;
s240: and performing action feature extraction according to the image distribution set, and outputting the video features.
Specifically, the motion capture is simply to capture the motion of the user video, screen the captured motion video, and obtain a video dynamic frame, where the video dynamic frame is a video frame with a large motion change amplitude of the user, and according to the video dynamic frame, correspond to a time node of motion capture, and determine a time capture node of the video dynamic frame, where the time capture node is the dynamic time node, the image distribution set includes multiple groups of dynamic time nodes and video dynamic frames, and each group of dynamic time nodes and video dynamic frames have a mapping relationship.
Specifically, the video dynamic frame is obtained by performing motion capture on the user video information, illustratively, a target inquired user performs head shaking negation operation, slowly shakes the head with a small amplitude for the first time, and rapidly shakes the head with a large amplitude for the second time, the motion capture performs motion capture on the user video in the process of shaking the head for the second time, and the video with the head shaking for the second time is taken as the video dynamic frame; recording dynamic time nodes according to the video dynamic frames; generating an image distribution set according to the mapping relation between the dynamic time nodes and the video dynamic frames, further explaining by combining the above example, in the second shaking process, taking the head to start rotating leftwards and rightwards as the starting time node, stopping rotating, taking the face to move forwards as the ending time node, determining the dynamic time nodes, mapping the corresponding relation between the image of the user video information and the acquisition time based on the video dynamic frames corresponding to the second shaking process, determining the mapping result as the elements in the image distribution set, performing cumulative capture and mapping, and synthesizing the image distribution set, wherein the example is to assist scheme understanding, and not to limit actual data processing, and the video dynamic frames include but are not limited to motion change, limb change and face change; and performing action feature extraction by using the image distribution set, outputting the video features, performing image interception from the user video information, and performing feature analysis, so that the feature processing efficiency of the video information can be effectively improved.
Further, as shown in fig. 2, the embodiment of the present application further includes:
s250: intercepting the physiological feedback information according to the dynamic time node to obtain the intercepted physiological feedback information and the non-intercepted physiological feedback information;
s260: acquiring dynamic physiological characteristics by performing characteristic extraction on the intercepted physiological feedback information;
s270: obtaining static physiological characteristics by performing characteristic extraction on the non-intercepted physiological feedback information;
s280: and outputting the physiological characteristics according to the dynamic physiological characteristics and the static physiological characteristics.
Specifically, the physiological feedback information includes, but is not limited to, a heartbeat frequency and a breathing frequency of the target queried user, and for convenience of explanation, in this embodiment of the application, the target queried user is a user, generally, the physiological feedback information corresponds to a user motion variation amplitude, when a limb of the target queried user varies violently, the heartbeat frequency and the breathing frequency of the target queried user are high, and the corresponding motion amplitude is large, and when the limb of the target queried user varies slowly, the heartbeat frequency and the breathing frequency of the target queried user are normal, and the corresponding motion amplitude is not large; intercepting the physiological feedback information according to the dynamic time node, acquiring intercepted physiological feedback information and non-intercepted physiological feedback information, wherein the user action change amplitude corresponding to the intercepted physiological feedback information is large, performing feature extraction training on the intercepted physiological feedback information based on a bp back propagation algorithm, and acquiring dynamic physiological features, wherein the dynamic physiological features include but are not limited to action amplitude features, heartbeat frequency features and other related features, can be optimized by combining with user requirements, and can be used for determining related blood pressure indexes of users with high blood pressure; based on a bp back propagation algorithm, performing feature extraction training on the unobserved physiological feedback information to obtain static physiological features, wherein the static physiological features include but are not limited to heartbeat frequency features and respiratory frequency features; and acquiring static physiological characteristics by combining personnel basic information, performing characteristic fusion according to the dynamic physiological characteristics and the static physiological characteristics, intercepting physiological feedback information, and performing characteristic analysis, thereby effectively improving the accuracy of the physiological characteristics and providing data support for subsequent data analysis.
S300: accessing an auxiliary terminal to be inquired, and transmitting the video characteristics, the physiological characteristics and the personnel characteristics to the auxiliary terminal to be inquired;
s400: according to a characteristic comparison analysis library stored by the inquired auxiliary terminal, carrying out characteristic comparison on the target inquired user to obtain a preset monitoring index;
specifically, a processor is integrated in the queried auxiliary terminal, the processor may be a CPU, a microprocessor, and an ASIC, the queried auxiliary system based on feature analysis is in communication connection with a data acquisition device and an abnormality early warning device, the queried auxiliary terminal is accessed to send the video features, the physiological features, and the personnel features to the queried auxiliary terminal, the queried auxiliary terminal is integrated in the queried auxiliary system, the queried auxiliary terminal stores a feature comparison analysis library, and the feature comparison analysis library is constructed based on big data, the feature comparison analysis library includes, but is not limited to, age features, pulse features, heart rate features, and body structure features, parameter values of the age features, the pulse features, the heart rate features, and the body structure features have a mapping relationship, and according to the feature comparison analysis library, the processor performs feature comparison on the target queried user to obtain a preset monitoring index, the preset monitoring index is a threshold, the preset monitoring index includes, but is not limited to, and is other related indexes such as a pulse threshold and a heart rate threshold, specifically, the preset monitoring index is not limited to the preset upper limit of the heart rate of the target queried user, and the preset monitoring index is not limited to the preset upper limit, and the monitoring index is not limited, and the preset upper limit of the preset monitoring index is provided for the preset monitoring index, and the preset monitoring index is not required to support the effectiveness of the preset target queried technical condition, and the preset target monitored user, and the preset monitoring index is not required to provide the preset target monitored index.
Further, the embodiment of the present application further includes:
s410: the inquired auxiliary terminal receives the video characteristics, the physiological characteristics and the personnel characteristics, wherein the inquired auxiliary terminal comprises the characteristic comparison analysis library;
s420: constructing a person portrait based on the person characteristics;
s430: the characteristic comparison analysis library carries out personnel analogy analysis according to the personnel portrait to obtain an analogy personnel set;
s440: and taking the analogy personnel set as an analogy analysis library of the target inquired user to obtain the preset monitoring index.
Specifically, the queried auxiliary terminal includes the feature comparison analysis library, and the queried auxiliary terminal receives the video feature, the physiological feature and the personnel feature; constructing a person portrait based on the person characteristics, wherein the person portrait is a common characteristic of the type of person, and exemplarily, a user with a high blood pressure type corresponds to diastolic pressure and systolic pressure abnormity, and a user with a pneumonia or bronchial asthma type corresponds to respiratory frequency abnormity; the characteristic comparison analysis library carries out personnel analogy analysis according to the personnel portrait, the preset monitoring indexes corresponding to different people are inconsistent, personnel analogy information of a target inquired user is determined through analogy, and an analogy personnel set is obtained, wherein the analogy personnel set comprises but is not limited to personnel age data, personnel physique data and personnel physical ability data; and the analog personnel set is used as an analog analysis library of the target inquired user to obtain the preset monitoring index, the preset monitoring index is subjected to index limitation by combining the analog analysis library, the accuracy of the preset monitoring index can be effectively improved, the personnel portrait is input into the characteristic comparison analysis library for analog analysis, and data support is provided for perfecting the characteristic comparison analysis library.
S500: taking the preset monitoring index as an early warning value of the abnormity early warning device to acquire abnormity information;
further, as shown in fig. 3, the embodiment of the present application further includes:
s510: acquiring information of inquired chair equipment of the target inquired user;
s520: acquiring inquired seat parameter information by analyzing the information of the inquired chair equipment;
s530: acquiring sitting user parameter information by carrying out user sitting parameter acquisition on the target inquired user;
s540: obtaining sitting comfort degree by comparing the inquired seat parameter information with the sitting user parameter information;
s550: if the sitting comfort level is larger than the preset sitting comfort level, the abnormal information is adjusted according to the sitting comfort level.
Specifically, the abnormal information includes, but is not limited to, abnormal emotions, abnormal reactions, abnormal actions, in general, abnormal responses may include respiratory frequency abnormality, heart rate abnormality, abnormal emotions may include sad emotions corresponding to crying behaviors, abnormal actions may include crying behaviors and growling behaviors, the preset monitoring index is used as an early warning value of the abnormality early warning device, abnormal information is obtained, and data support is provided for inquiring assistance.
Specifically, a queried auxiliary system is integrated in queried chair equipment, the queried chair equipment is in a chair shape, information of the queried chair equipment of the target queried user is acquired, and the information of the queried chair equipment can be other relevant equipment parameter information such as queried chair equipment parameters; acquiring inquired seat parameter information by analyzing the information of the inquired chair equipment, wherein the inquired seat parameter information comprises but is not limited to chair height information and chair back size information; acquiring user sitting parameters of the target inquired user through a data acquisition device to acquire sitting user parameter information, wherein the user sitting parameters comprise but are not limited to leg length and back fitting degree; the correlation analysis can be performed by performing correlation analysis comparison on the inquired seat parameter information and the sitting user parameter information through a grey correlation analysis method, an AHP (Analytic Hierarchy Process) or other correlation analysis algorithms to obtain the sitting comfort level, and determining a correlation coefficient obtained by the fitness analysis as the sitting comfort level; the preset sitting comfort level is a preset parameter, and if the sitting comfort level is smaller than the preset sitting comfort level, the sitting comfort level meets the requirements of the user; if the sitting comfort level is greater than the preset sitting comfort level, the sitting comfort level is represented to meet the user's non-demand, and the abnormal information is adjusted according to the sitting comfort level.
Further specifically, the sitting comfort level of the inquired seat does not meet the user requirement, and the abnormal behavior of the user can also be caused, the correlation between the abnormal behavior and the sitting comfort level of the inquired seat is high, and the abnormal information is optimized by combining the user parameter and the user setting information, so that the accuracy of the abnormal information is improved.
Further, the embodiment of the present application further includes:
s551: acquiring information of a queried environment where the queried chair equipment is located;
s552: acquiring historical disease information of the target inquired user;
s553: acquiring an environmental influence factor according to the information of the inquired environment and the information of the historical symptoms;
s554: and adjusting the abnormal information according to the environmental influence factor.
Specifically, the information of the queried environment includes, but is not limited to, environmental temperature information, environmental humidity information, and environmental illumination intensity information, the environmental impact factor includes an impact of the environment on a type of a disease, and an impact of the environment on a degree of the disease, and the information of the queried environment where the queried chair device is located is acquired through an electronic thermometer, a humidity tester, and a light sensor inside the data acquisition device; the information of the historical symptoms comprises but is not limited to hypertension, coronary heart disease, night blindness and other related symptom information, the information of the historical symptoms of the target inquired user is obtained through a data entry unit of a data acquisition device, data scene simulation operation is carried out by combining a constrained K-means clustering algorithm according to the information of the inquired environment and the information of the historical symptoms, the inquired environment is determined as a constraint condition, bottom-up coagulation hierarchical clustering analysis is carried out on the information of the historical symptoms, an environmental influence factor is obtained, the abnormal information is adjusted according to the environmental influence factor, and the accuracy of the abnormal information is further improved.
Specifically, if the user has nyctalopia, abnormal reactions are likely to occur in a dark environment, and if the user has coronary heart disease, abnormal reactions are likely to occur in a closed environment.
S600: inputting the abnormal information into an abnormal prediction model of the inquired auxiliary terminal, and acquiring an abnormal pointing result according to the abnormal prediction model;
s700: and sending the abnormal pointing result to related management personnel through the inquired auxiliary terminal.
Further, after obtaining the abnormal direction result, step S600 further includes:
s610: acquiring the abnormal information, wherein the abnormal information comprises abnormal time sequence information and abnormal characteristic information;
s620: configuring target probability according to the abnormal pointing result;
s630: taking the abnormal time sequence information and the abnormal characteristic information as input variables, and taking the target probability as a response target to build an abnormal prediction function;
and S640: and sending a response result output by the abnormity prediction function to related management personnel, wherein the response result is the maximum query duration based on the abnormity pointing result.
Specifically, the characteristic comparison analysis base is used as an expert knowledge base, the abnormality prediction model is constructed on the basis of an expert system, the abnormality indication result corresponds to the historical symptoms, the abnormality indication result can be that the diastolic pressure and the systolic pressure of a user are abnormal, or the respiratory frequency of the user is abnormal, the abnormality information is input into the abnormality prediction model of the inquired auxiliary terminal, the abnormality indication result is obtained according to the abnormality prediction model, and the abnormality indication result is sent to a relevant manager through the communication connection between the inquired auxiliary terminal and the inquired auxiliary system.
Further specifically, the abnormal direction result is determined by constructing a person image and combining abnormal information, in brief, if the abnormal direction result is that the diastolic pressure and the systolic pressure are abnormal, the abnormal direction result needs to be sent to a police manager by a hypertensive, the inquiring duration is controlled, and the probability of occurrence of the diastolic pressure and the systolic pressure abnormality in the inquiring process of the hypertensive is reduced.
S610: acquiring the abnormal information, wherein the abnormal information comprises abnormal time sequence information and abnormal characteristic information;
s620: configuring target probability according to the abnormal pointing result;
s630: taking the abnormal time sequence information and the abnormal characteristic information as input variables, and taking the target probability as a response target to build an abnormal prediction function;
s640: and sending a response result output by the abnormity prediction function to related management personnel, wherein the response result is the maximum query duration based on the abnormity pointing result.
Specifically, the abnormal information includes abnormal time sequence information and abnormal characteristic information, the abnormal time sequence information and the abnormal characteristic information are mapped one by one, the characteristic information corresponding to a first time sequence point and the first time sequence point in the abnormal information is a set of mapping associated data information, a plurality of time sequence points are the abnormal time sequence information, index characteristic extraction is performed in the abnormal information, the abnormal characteristic information is correspondingly determined based on the abnormal time sequence information, a target probability is configured based on the abnormal direction result, the target probability is an index threshold value, the target probability can be set to be 30%, and if the abnormal direction result is abnormal breathing frequency, the probability that the breathing frequency of the user is abnormal reaches 30%, namely, a response target corresponding to the abnormal breathing. The method comprises the steps of constructing a coordinate system, wherein the abscissa and the ordinate of the coordinate system respectively represent abnormal time sequence information and abnormal characteristic information, inputting the abnormal time sequence information and the abnormal characteristic information as input variables, carrying out data statistics in the coordinate system, taking the target probability as a response target, building an abnormal prediction function, sending a response result output by the abnormal prediction function to related management personnel, wherein the response result is the maximum inquiry duration based on the abnormal direction result, the maximum inquiry duration is a time threshold value of the police management personnel for inquiring the user, exceeds the maximum inquiry duration, inquires the user, cannot guarantee the inquiry safety, obtains the maximum inquiry duration, reminds the inquired personnel with the maximum inquiry duration, controls the time, prevents accidents, and improves the timeliness of the abnormal direction result.
In summary, the feature analysis-based query assisting method and system provided by the present application have the following technical effects:
the method comprises the steps of acquiring data according to a data acquisition device, acquiring a user data set, extracting features, acquiring video features, physiological features and personnel features, accessing an inquired auxiliary terminal, transmitting the video features, the physiological features and the personnel features to the inquired auxiliary terminal, comparing the features according to a feature comparison analysis library, acquiring preset monitoring indexes, taking the preset monitoring indexes as early warning values of an abnormity early warning device, acquiring abnormity information, inputting an abnormity prediction model of the inquired auxiliary terminal, acquiring abnormity pointing results, and transmitting the abnormity pointing results to related managers through the inquired auxiliary terminal. The application provides the inquired auxiliary method and system based on the characteristic analysis, and based on the characteristic analysis, the video information, the physiological feedback information and the personnel basic information of the inquired user are combined, so that the technical effects of customizing the inquired auxiliary provided for the police service management personnel, ensuring the execution of the police service work and improving the inquired safety are achieved.
The method comprises the steps of intercepting physiological feedback information according to dynamic time nodes, obtaining the intercepted physiological feedback information and non-intercepted physiological feedback information, extracting the characteristics of the intercepted physiological feedback information, obtaining dynamic physiological characteristics, extracting the characteristics of the non-intercepted physiological feedback information, obtaining static physiological characteristics, and outputting the physiological characteristics according to the dynamic physiological characteristics and the static physiological characteristics. And performing feature fusion, intercepting the physiological feedback information, and performing feature analysis, thereby effectively improving the accuracy of the physiological features and providing data support for subsequent data analysis.
Due to the fact that the abnormal information is obtained, the target probability is configured according to the abnormal pointing result, the abnormal time sequence information and the abnormal characteristic information are used as input variables, the target probability is used as a response target, an abnormal prediction function is built, and the output response result is sent to relevant management personnel. The maximum inquired time is used for reminding inquired personnel, controlling the time, preventing accidents and improving the timeliness of abnormal pointing results.
Example two
Based on the same inventive concept as the feature analysis-based assisted query method in the foregoing embodiment, as shown in fig. 4, the present application provides a feature analysis-based assisted query system, wherein the system is in communication connection with a data acquisition device and an abnormality early warning device, and the system includes:
the data acquisition unit 11 is used for acquiring data of a target inquired user according to the data acquisition device and acquiring a user data set, wherein the user data set comprises user video information, physiological feedback information and personnel basic information;
a feature extraction unit 12, where the feature extraction unit 12 is configured to perform feature extraction on the user video information, the physiological feedback information, and the person basic information to obtain a video feature, a physiological feature, and a person feature;
a feature transmitting unit 13, where the feature transmitting unit 13 is configured to access an assisted terminal, and transmit the video feature, the physiological feature, and the person feature to the assisted terminal;
the characteristic comparison and analysis unit 14, the characteristic comparison and analysis unit 14 is configured to compare characteristics of the target queried user according to a characteristic comparison and analysis library stored in the queried auxiliary terminal, and obtain a preset monitoring index;
an abnormal information obtaining unit 15, where the abnormal information obtaining unit 15 is configured to obtain abnormal information by using the preset monitoring index as an early warning value of the abnormal early warning device;
an abnormal direction result obtaining unit 16, where the abnormal direction result obtaining unit 16 is configured to input the abnormal information into an abnormal prediction model of the queried auxiliary terminal, and obtain an abnormal direction result according to the abnormal prediction model;
a result sending unit 17, where the result sending unit 17 is configured to send the abnormal direction result to the relevant administrator through the queried auxiliary terminal.
Further, the system comprises:
the motion capture unit is used for capturing motion of the user video information to obtain a video dynamic frame, wherein the video dynamic frame is a video frame with large motion change amplitude of the user;
the time node recording unit is used for recording dynamic time nodes according to the video dynamic frames;
the mapping image generation unit is used for generating an image distribution set according to the mapping relation between the dynamic time node and the video dynamic frame;
and the action characteristic extraction unit is used for extracting action characteristics by using the image distribution set and outputting the video characteristics.
Further, the system comprises:
the information intercepting unit is used for intercepting the physiological feedback information according to the dynamic time node to obtain the intercepted physiological feedback information and the non-intercepted physiological feedback information;
a dynamic physiological feature extraction unit, configured to perform feature extraction on the intercepted physiological feedback information to obtain a dynamic physiological feature;
a static physiological feature extraction unit, configured to perform feature extraction on the non-intercepted physiological feedback information to obtain a static physiological feature;
and the physiological characteristic output unit is used for outputting the physiological characteristics according to the dynamic physiological characteristics and the static physiological characteristics.
Further, the system comprises:
a feature receiving unit, configured to receive the video feature, the physiological feature, and the person feature by the queried auxiliary terminal, where the queried auxiliary terminal includes the feature comparison analysis library;
the figure building unit is used for building a person figure based on the person characteristics;
the analog analysis unit is used for performing personnel analog analysis on the characteristic comparison analysis library according to the personnel portrait to obtain an analog personnel set;
and the monitoring index acquisition unit is used for taking the analogy personnel set as an analogy analysis library of the target inquired user to acquire the preset monitoring index.
Further, the system comprises:
the inquired information acquisition unit is used for acquiring the information of the inquired chair equipment of the target inquired user;
the parameter information acquisition unit is used for acquiring inquired seat parameter information by analyzing the information of the inquired chair equipment;
the sitting parameter acquisition unit is used for acquiring sitting parameters of the target inquired user and acquiring sitting user parameter information;
the parameter information comparison unit is used for comparing the inquired seat parameter information with the sitting user parameter information to obtain the sitting comfort level;
the information adjusting unit is used for adjusting the abnormal information according to the sitting comfort level if the sitting comfort level is larger than the preset sitting comfort level.
Further, the system comprises:
the environment information acquisition unit is used for acquiring information of a queried environment in which the queried chair equipment is positioned;
a disease information acquisition unit, configured to acquire information of a historical disease of the target queried user;
the influence factor acquisition unit is used for acquiring an environment influence factor according to the information of the inquired environment and the information of the historical symptoms;
and the information adjusting unit is used for adjusting the abnormal information according to the environmental influence factor.
Further, the system comprises:
an abnormal information obtaining unit, configured to obtain the abnormal information, where the abnormal information includes abnormal timing information and abnormal feature information;
the target probability configuration unit is used for configuring target probability according to the abnormal pointing result;
the anomaly prediction function building unit is used for building an anomaly prediction function by taking the anomaly time sequence information and the anomaly characteristic information as input variables and taking the target probability as a response target;
and the response result sending unit is used for sending the response result output by the abnormity prediction function to related management personnel, wherein the response result is the maximum inquired time length based on the abnormity pointing result.
The specification and drawings are merely exemplary of the application and various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Such modifications and variations of the present application are within the scope of the claims of the present application and their equivalents, and the present application is intended to include such modifications and variations.
Claims (8)
1. A feature analysis-based query assistance method is applied to a feature analysis-based query assistance system, wherein the system is in communication connection with a data acquisition device and an abnormality early warning device, and the method comprises the following steps:
according to the data acquisition device, data acquisition is carried out on a target inquired user, and a user data set is obtained, wherein the user data set comprises user video information, physiological feedback information and personnel basic information;
extracting the characteristics of the user video information, the physiological feedback information and the personnel basic information to obtain video characteristics, physiological characteristics and personnel characteristics;
accessing a queried auxiliary terminal and transmitting the video characteristic, the physiological characteristic and the personnel characteristic to the queried auxiliary terminal;
according to a characteristic comparison analysis library stored by the inquired auxiliary terminal, carrying out characteristic comparison on the target inquired user to obtain a preset monitoring index;
taking the preset monitoring index as an early warning value of the abnormity early warning device to acquire abnormity information;
inputting the abnormal information into an abnormal prediction model of the inquired auxiliary terminal, and acquiring an abnormal pointing result according to the abnormal prediction model;
and sending the abnormal pointing result to related management personnel through the inquired auxiliary terminal.
2. The method of claim 1, wherein the method further comprises:
acquiring a video dynamic frame by capturing the motion of the user video information, wherein the video dynamic frame is a video frame with a large motion change amplitude of the user;
recording dynamic time nodes according to the video dynamic frames;
generating an image distribution set according to the mapping relation between the dynamic time node and the video dynamic frame;
and performing action feature extraction according to the image distribution set, and outputting the video features.
3. The method of claim 2, wherein the method further comprises:
intercepting the physiological feedback information according to the dynamic time node to obtain the intercepted physiological feedback information and the non-intercepted physiological feedback information;
acquiring dynamic physiological characteristics by performing characteristic extraction on the intercepted physiological feedback information;
obtaining static physiological characteristics by performing characteristic extraction on the non-intercepted physiological feedback information;
and outputting the physiological characteristics according to the dynamic physiological characteristics and the static physiological characteristics.
4. The method of claim 1, wherein the method further comprises:
the inquired auxiliary terminal receives the video characteristics, the physiological characteristics and the personnel characteristics, wherein the inquired auxiliary terminal comprises the characteristic comparison analysis library;
constructing a person portrait based on the person characteristics;
the characteristic comparison analysis library carries out personnel analogy analysis according to the personnel portrait to obtain an analogy personnel set;
and taking the analogy personnel set as an analogy analysis library of the target inquired user to obtain the preset monitoring index.
5. The method of claim 1, wherein the method further comprises:
acquiring information of inquired chair equipment of the target inquired user;
acquiring inquired seat parameter information by analyzing the information of the inquired chair equipment;
acquiring sitting user parameter information by collecting sitting parameters of the target inquired user;
obtaining sitting comfort degree by comparing the inquired seat parameter information with the sitting user parameter information;
if the sitting comfort level is larger than the preset sitting comfort level, the abnormal information is adjusted according to the sitting comfort level.
6. The method of claim 5, wherein the method further comprises:
acquiring information of a queried environment where the queried chair equipment is located;
acquiring historical disease information of the target inquired user;
acquiring an environmental influence factor according to the information of the inquired environment and the information of the historical diseases;
and adjusting the abnormal information according to the environmental influence factor.
7. The method of claim 6, wherein after the obtaining the exception pointing result, the method further comprises:
acquiring the abnormal information, wherein the abnormal information comprises abnormal time sequence information and abnormal characteristic information;
configuring target probability according to the abnormal pointing result;
taking the abnormal time sequence information and the abnormal characteristic information as input variables, and taking the target probability as a response target to build an abnormal prediction function;
and sending a response result output by the abnormity prediction function to a relevant manager, wherein the response result is the maximum inquiry time length based on the abnormity pointing result.
8. An assisted inquiry system based on feature analysis, wherein the system is in communication connection with a data acquisition device and an abnormality early warning device, and the system comprises:
the data acquisition unit is used for acquiring data of a target inquired user according to the data acquisition device and acquiring a user data set, wherein the user data set comprises user video information, physiological feedback information and personnel basic information;
a feature extraction unit, configured to extract features of the user video information, the physiological feedback information, and the person basic information to obtain video features, physiological features, and person features;
the characteristic sending unit is used for accessing an inquired auxiliary terminal and sending the video characteristic, the physiological characteristic and the personnel characteristic to the inquired auxiliary terminal;
the characteristic comparison and analysis unit is used for comparing the characteristics of the target inquired user according to a characteristic comparison and analysis library stored by the inquired auxiliary terminal to obtain a preset monitoring index;
an abnormal information acquisition unit, configured to acquire abnormal information by using the preset monitoring index as an early warning value of the abnormal early warning device;
an abnormal direction result obtaining unit, configured to input the abnormal information into an abnormal prediction model of the queried auxiliary terminal, and obtain an abnormal direction result according to the abnormal prediction model;
and the result sending unit is used for sending the abnormal pointing result to related management personnel through the inquired auxiliary terminal.
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