CN117731288B - AI psychological consultation method and system - Google Patents
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Abstract
The application relates to an AI psychological consultation method and system, which is characterized in that the user can be in a fixed emotion state through initial guiding of the emotion of the user, then the human physiological signals of the user are collected, the general predicted emotion state of the user is calculated based on the collected human physiological signals of the user, and whether the user is a general user can be judged.
Description
Technical Field
The invention belongs to the field of artificial intelligence, and particularly relates to an AI psychological consultation method and system.
Background
In the prior art, the key problem in the psychological consultation realized through AI is that the emotion of the user is judged through data processing. In the prior art, a sensor is usually arranged at the user side, various physiological signals and voice signals of the user are collected, and the emotion state of the user is judged through the physiological signals of the user. And selecting a corresponding psychological adjustment method to realize psychological consultation. But different users tend to have inconsistent changes in his physiological signal and emotion, i.e. the correspondence is often inconsistent. The emotional changes of general users are compared with the physiological signal states, but a plurality of individual users exist, and the corresponding relation between the physiological sensing signals and the emotional changes of the users is often different, or the corresponding relation is relatively personalized. In practical applications, users with psychological problems are often personalized users, and the probability of the users belonging to the general users is not high, which results in psychological consultation of the users. The judgment error of the emotion state of the user can be very large only by the physiological signals of the user, so that the AI system cannot accurately judge the emotion of the user when the user is served.
Disclosure of Invention
The invention aims to provide an AI psychological consultation method and system for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
The AI psychological consultation method comprises the following steps:
initial guidance of the emotion of the user: firstly, sending communication information to a user and guiding the emotion of the user to be fixed in a state;
then, acquiring human physiological signals of a user, and then, carrying out data standardization on the human physiological signals of the user;
Then calculating the general predicted emotional state of the user based on the collected human physiological signals of the user, then judging whether the calculated general predicted emotional state of the user is the emotional state of the user with fixed emotion guided in the initial guiding of the emotion of the user, and judging the user as a general user if the calculated general predicted emotional state of the user is the emotional state of the user with fixed emotion guided in the initial guiding of the emotion of the user;
Judging the user as a personalized user if the calculated general predicted emotional state of the user is not an emotional state in which the emotion of the user is fixed in the initial guiding of the emotion of the user;
Then, guiding the initial emotion of the user to the end of the general user, continuously collecting the human physiological signals of the user, calculating the general predicted emotion state of the user based on the collected human physiological signals of the user, and starting psychological consultation communication based on the general predicted emotion state of the user;
Then, continuously guiding the emotion of the user in an initial stage for the personalized user, continuously collecting human physiological signals of the user, forming a personalized physiological signal data set of the user, and establishing a corresponding relation between the personalized physiological signals and the emotion states of the user based on the personalized physiological signal data set of the user;
And then ending the guidance of the initial emotion stage of the personalized user, continuously collecting the human physiological signals of the personalized user, calculating the personalized predicted emotion state of the user based on the collected human physiological signals of the personalized user, and starting psychological consultation communication based on the personalized predicted emotion state of the user.
Further, the data normalization of the human physiological signal of the user specifically includes: preprocessing the acquired data, including abnormal value removal, missing value filling and denoising operation, so as to ensure the quality and accuracy of the data; for data with different sources and formats, corresponding conversion is needed, so that the data with uniform formats and standards is convenient for subsequent data analysis and mining; for data encoding, it is converted into numbers or symbols that the computer can understand and process; in order to eliminate the influence of different dimensions on data, data normalization processing is needed to convert the data into a unified dimensionless form; the format, unit and precision requirements of the data are defined so as to ensure the normalization and consistency of the data.
Further, sending the communication information to the user and guiding the emotion of the user to be fixed in a state comprises sending voices or words for fixing the emotion of the user through a voice device or a chat intelligent terminal, wherein the information contents of the voices or words comprise "please you want to go to something you go wrong", "please you want to go to something you get angry", "please you want to go to something you go happy".
Further, the physiological signals of the user's body include heart rate signals, motion sensing signals, skin electrical signals.
Further, the general predicted emotional state of the user specifically refers to an emotional state calculated according to the corresponding relationship between the physiological signals of the human body of the general user and the emotional state, assuming that the user belongs to the general user.
Further, the personalized predicted emotional state of the user specifically refers to an emotional state calculated according to the corresponding relationship between the personalized physical and physiological signals of the personalized user and the emotional state, assuming that the user belongs to the personalized user.
The AI psychological consultation system comprises a computer device, wherein the data calculation of the AI psychological consultation method can be configured in the computer device.
The method has the advantages that the user can be in a fixed emotion state through initial guiding of the emotion of the user, then the human physiological signals of the user are collected, the general predicted emotion state of the user is calculated based on the collected human physiological signals of the user, and whether the user is a general user can be judged.
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FIG. 1 is a flow chart of the method of the present application.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The application discloses an AI psychological consultation method, as shown in figure 1, comprising the following steps:
Initial guidance of the emotion of the user:
Initial guiding of the emotion of the user is that firstly, communication information is sent to the user, and the emotion of the user is guided to be fixed in a state;
The method comprises the steps that communication information is sent to a user, the emotion of the user is guided to be fixed in a state, voice or words which enable the emotion of the user to be fixed are sent through voice equipment or a chat intelligent terminal, the information content of the voice or words comprises 'please you want to go to something which is hard to get you going to go', 'please you want to go to something which is angry' and 'please you want to go to something which is easy to get you going to go to you', and the information content of the voice or words can enable the user to be in a fixed emotion state firstly;
Then collecting human physiological signals of a user; the human body physiological signals of the user comprise heart rate signals, motion sensing signals and skin electrical signals;
Then, carrying out data standardization on the human physiological signals of the user; the data specification of the human body physiological signals of the user specifically comprises the following steps:
data cleaning: preprocessing the acquired data, including abnormal value removal, missing value filling and denoising operation, so as to ensure the quality and accuracy of the data;
data conversion: for data with different sources and formats, corresponding conversion is needed, so that the data with uniform formats and standards is convenient for subsequent data analysis and mining;
And (3) data coding: for data encoding, it is converted into numbers or symbols that the computer can understand and process;
data normalization: in order to eliminate the influence of different dimensions on data, data normalization processing is needed to convert the data into a unified dimensionless form;
data specification: the format, unit and precision requirements of the data are defined so as to ensure the normalization and consistency of the data.
Then calculating a general predicted emotional state of the user based on the collected human physiological signals of the user; the general predicted emotional state of the user specifically refers to an emotional state calculated according to the corresponding relation between the human physiological signal of the general user and the emotional state, assuming that the user belongs to the general user; wherein, the corresponding relation between the physiological signals of the human body of the general user and the emotion states is pre-established, and the process of establishing the corresponding relation between the physiological signals and the emotion states can be divided into the following steps: feature extraction: features related to the emotional state are extracted from the physiological signal data. These features may be time domain features, frequency domain features, or time-frequency domain features. Model training: based on the extracted features and the corresponding emotional state tags, an algorithm model is trained. Model evaluation: the trained algorithm model is evaluated to verify its accuracy and reliability. This can be assessed by cross-validation, confusion matrix, accuracy, recall, etc. Model optimization: and optimizing and adjusting the algorithm model according to the model evaluation result so as to improve the performance of the algorithm model.
The corresponding relation between the physiological signals and the emotion states of the human body can be established by adopting various algorithm models, such as the following steps:
1. Deep learning model: the deep learning model may automatically extract features in the physiological signal and learn the relationship between these features and the emotional state. For example, convolutional Neural Networks (CNNs) may extract useful features from the original physiological signal, while cyclic neural networks (RNNs) may process data with timing dependencies, suitable for processing physiological signals.
2. Support Vector Machine (SVM) and logistic regression: this algorithm can be used to classify different emotional states. By training these models, decision boundaries or rules can be found that can classify different emotion states.
3. Decision trees and random forests: this algorithm can be used to construct a physiological signal based emotion recognition model. By training a decision tree or random forest model, association rules between physiological signals and emotional states can be found.
4. Principal Component Analysis (PCA): PCA is a commonly used dimension-reduction algorithm that can be used to extract principal components related to emotional states from high-dimensional physiological signals. By analyzing these principal components, the characteristic behavior of different emotional states can be better understood.
5. Hidden Markov Model (HMM): HMM is a model suitable for processing data with timing dependency. By training the HMM model, dynamic changes in the emotional state can be predicted.
The corresponding relation between the physiological signal and the emotion state can be established by adopting a mature method in the prior art, for example, the corresponding relation between the physiological signal and the emotion state can be established together through a heart rate signal, a motion sensing signal, a skin electrical signal and heart rate variability (calculated by the heart rate signal);
Then judging whether the calculated general predicted emotional state of the user is an emotional state of which the emotion of the user is fixed in the initial guiding of the emotion of the user, and judging the user as a general user if the calculated general predicted emotional state of the user is an emotional state of which the emotion of the user is fixed in the initial guiding of the emotion of the user;
Judging the user as a personalized user if the calculated general predicted emotional state of the user is not an emotional state in which the emotion of the user is fixed in the initial guiding of the emotion of the user;
Then, guiding the initial emotion of the user to the end of the general user, continuously collecting the human physiological signals of the user, calculating the general predicted emotion state of the user based on the collected human physiological signals of the user, and starting psychological consultation communication based on the general predicted emotion state of the user;
Then, continuously guiding the emotion of the user in an initial stage for the personalized user, continuously collecting human physiological signals of the user, forming a personalized physiological signal data set of the user, and establishing a corresponding relation between the personalized physiological signals and the emotion states of the user based on the personalized physiological signal data set of the user; the specific process of establishing the corresponding relation between the personalized physiological signal and the emotion state of the user is the same as the specific process of establishing the corresponding relation between the human physiological signal and the emotion state of the general user, and the specific process is the same as the method that only the data content is different;
Then ending the guidance of the initial emotion stage of the personalized user, continuously collecting the human physiological signals of the personalized user, and calculating the personalized predicted emotion state of the user based on the collected human physiological signals of the personalized user; the personalized predicted emotional state of the user specifically means that the user is assumed to belong to a personalized user, the emotional state is calculated according to the corresponding relation between the personalized physical physiological signal and the emotional state of the personalized user, psychological consultation communication is started based on the personalized predicted emotional state of the user, and a huge and rich psychological consultation knowledge base can be established before the psychological consultation is developed. The knowledge base covers solutions to various psychological problems and can help users to better understand and solve their own problems. Through the AI algorithm, intelligent recommendation and matching services can be provided for users according to the requirements and data of the users. For example, depending on the emotional state of the user and the type of problem, the system may automatically match the appropriate psychological consultant or provide a corresponding solution. Psychological consultation can be performed anytime and anywhere by using AI technology. The user can conduct online consultation through the terminal equipment such as a mobile phone, a computer and the like, and is not limited by time and places. The intelligent consultation tool can interact with the user in real time in a voice, text and other modes. The AI can learn the emotional state of the user and give corresponding feedback. For example, when a user expresses a negative emotion, the system may provide positive emotion guidance and advice to help the user adjust the mind state.
It can be seen that the present application, by initially guiding the emotion of the user, can first put the user in a fixed emotional state,
Then, the human physiological signals of the user are collected, the general predicted emotion state of the user is calculated based on the collected human physiological signals of the user, and whether the user is the general user can be judged, so that the emotion state of the user is judged through the physiological signals of the user, initial guiding feedback of the emotion is skillfully combined, and the emotion of the user can be accurately judged by adopting a personalized emotion recognition strategy aiming at a personalized user.
Embodiments of the application that require protection include:
The AI psychological consultation method, as shown in FIG. 1, comprises the steps of:
initial guidance of the emotion of the user: firstly, sending communication information to a user and guiding the emotion of the user to be fixed in a state;
then, acquiring human physiological signals of a user, and then, carrying out data standardization on the human physiological signals of the user;
Then calculating the general predicted emotional state of the user based on the collected human physiological signals of the user, then judging whether the calculated general predicted emotional state of the user is the emotional state of the user with fixed emotion guided in the initial guiding of the emotion of the user, and judging the user as a general user if the calculated general predicted emotional state of the user is the emotional state of the user with fixed emotion guided in the initial guiding of the emotion of the user;
Judging the user as a personalized user if the calculated general predicted emotional state of the user is not an emotional state in which the emotion of the user is fixed in the initial guiding of the emotion of the user;
Then, guiding the initial emotion of the user to the end of the general user, continuously collecting the human physiological signals of the user, calculating the general predicted emotion state of the user based on the collected human physiological signals of the user, and starting psychological consultation communication based on the general predicted emotion state of the user;
Then, continuously guiding the emotion of the user in an initial stage for the personalized user, continuously collecting human physiological signals of the user, forming a personalized physiological signal data set of the user, and establishing a corresponding relation between the personalized physiological signals and the emotion states of the user based on the personalized physiological signal data set of the user;
And then ending the guidance of the initial emotion stage of the personalized user, continuously collecting the human physiological signals of the personalized user, calculating the personalized predicted emotion state of the user based on the collected human physiological signals of the personalized user, and starting psychological consultation communication based on the personalized predicted emotion state of the user.
Specifically, the data specification of the human physiological signal of the user specifically includes: preprocessing the acquired data, including abnormal value removal, missing value filling and denoising operation, so as to ensure the quality and accuracy of the data; for data with different sources and formats, corresponding conversion is needed, so that the data with uniform formats and standards is convenient for subsequent data analysis and mining; for data encoding, it is converted into numbers or symbols that the computer can understand and process; in order to eliminate the influence of different dimensions on data, data normalization processing is needed to convert the data into a unified dimensionless form; the format, unit and precision requirements of the data are defined so as to ensure the normalization and consistency of the data.
Specifically, sending the communication information to the user and guiding the emotion of the user to be fixed in a state comprises sending voices or words for fixing the emotion of the user through a voice device or a chat intelligent terminal, wherein the information content of the voices or words comprises "please you want to go to something you are hard to go by himself", "please you want to go to something you are angry by herself", "please you want to go to something you are happy by herself".
Specifically, the human physiological signals of the user include heart rate signals, motion sensing signals, and skin electrical signals.
Specifically, the general predicted emotional state of the user specifically refers to an emotional state calculated according to the corresponding relationship between the physiological signals of the human body of the general user and the emotional state, assuming that the user belongs to the general user.
Specifically, the personalized predicted emotional state of the user specifically refers to an emotional state calculated according to the corresponding relationship between the personalized physical and physiological signals of the personalized user and the emotional state, assuming that the user belongs to the personalized user.
The embodiment of the application also provides an AI psychological consultation system, which comprises computer equipment, and can comprise terminal equipment or a server, wherein the data calculation of the AI psychological consultation method can be configured in the computer equipment. The computer device is described below.
If the computer device is a terminal device, the embodiment of the application provides a terminal device, taking the terminal device as a mobile phone as an example:
The mobile phone comprises: radio Frequency (RF) circuitry, memory, input unit, display unit, sensors, audio circuitry, wireless fidelity (WIRELESS FIDELITY, wiFi) module, processor, and power supply.
The RF circuit can be used for receiving and transmitting signals in the process of receiving and transmitting information or communication, particularly, after receiving downlink information of the base station, the downlink information is processed by the processor; in addition, the data of the design uplink is sent to the base station. Typically, RF circuitry includes, but is not limited to, antennas, at least one amplifier, transceivers, couplers, low noise amplifiers (Low NoiseAmplifier, abbreviated as LNAs), diplexers, and the like. In addition, the RF circuitry may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to global system for mobile communications (Global System of Mobile communication, GSM for Short), general packet radio service (GENERALPACKET RADIO SERVICE, GPRS for Short), code division multiple access (Code Division Multiple Access, CDMA for Short), wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA for Short), long term evolution (Long Term Evolution, LTE for Short), email, short message service (Short MESSAGING SERVICE, SMS for Short), etc.
The memory may be used to store software programs and modules, and the processor executes the software programs and modules stored in the memory to perform various functional applications and data processing of the handset. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
The input unit may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the handset. In particular, the input unit may include a touch panel and other input devices. The touch panel, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations thereon or thereabout by a user using any suitable object or accessory such as a finger, stylus, etc.), and drive the corresponding connection device according to a predetermined program. Alternatively, the touch panel may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor, and can receive and execute commands sent by the processor. In addition, the touch panel may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The input unit may include other input devices in addition to the touch panel. In particular, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc.
The display unit may be used to display information input by a user or information provided to the user and various menus of the mobile phone. The display unit may include a display panel, which may optionally be configured in the form of a liquid crystal display (LiquidCrystal Display, LCD) or an Organic Light-Emitting Diode (OLED) or the like. Further, the touch panel may overlay the display panel, and upon detection of a touch operation thereon or thereabout, the touch panel is transferred to the processor to determine the type of touch event, and the processor then provides a corresponding visual output on the display panel in accordance with the type of touch event. Although in the figures the touch panel and the display panel are shown as two separate components to implement the input and output functions of the cell phone, in some embodiments the touch panel and the display panel may be integrated to implement the input and output functions of the cell phone.
The handset may also include at least one sensor, such as a light sensor, a motion sensor, and other sensors. In particular, the light sensor may include an ambient light sensor that may configure the brightness of the display panel according to the brightness of ambient light, and a proximity sensor that may turn off the display panel and/or backlight when the phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for applications of recognizing the gesture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured with the handset are not described in detail herein.
Audio circuitry, speakers, and microphone may provide an audio interface between the user and the handset. The audio circuit can transmit the received electric signal after the audio data conversion to a loudspeaker, and the loudspeaker converts the electric signal into a sound signal to be output; on the other hand, the microphone converts the collected sound signals into electrical signals, which are received by the audio circuit and converted into audio data, which are processed by the audio data output processor and sent via the RF circuit to, for example, another mobile phone, or which are output to a memory for further processing.
WiFi belongs to a short-distance wireless transmission technology, and a mobile phone can help a user to send and receive an email, browse a webpage, access streaming media and the like through a WiFi module, so that wireless broadband Internet access is provided for the user. Although a WiFi module is illustrated, it is understood that it does not belong to the necessary configuration of the handset, and can be omitted entirely as needed within the scope of not changing the essence of the invention.
The processor is a control center of the mobile phone, and is connected with various parts of the whole mobile phone by various interfaces and lines, and executes various functions and processes data of the mobile phone by running or executing software programs and/or modules stored in the memory and calling data stored in the memory, so that the mobile phone is monitored integrally. In the alternative, the processor may include one or more processing units; preferably, the processor may integrate an application processor and a modem processor, wherein the application processor primarily handles operating systems, user interfaces, applications, etc., and the modem processor primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor.
The handset further includes a power source (e.g., a battery) for powering the various components, preferably in logical communication with the processor through a power management system, such that functions such as managing charge, discharge, and power consumption are performed by the power management system.
Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which will not be described herein.
In this embodiment, the processor included in the terminal device further has the following functions:
And executing the data calculation program of the AI psychological consultation method.
If the computer device is a server, the embodiments of the present application further provide a server, where the server may have a relatively large difference due to different configurations or performances, and may include one or more central processing units (Central Processing Units, abbreviated as CPU) and a memory (e.g., one or more processors), one or more storage media (e.g., one or more mass storage devices) storing application programs or data. The memory and storage medium may be transitory or persistent. The program stored on the storage medium may include one or more modules, each of which may include a series of instruction operations on the server. Still further, the central processor may be configured to communicate with a storage medium and execute a series of instruction operations on the storage medium on a server.
The server may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input/output interfaces, and/or one or more operating systems, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, and the like.
In addition, the embodiment of the application also provides a storage medium for storing a computer program for executing the method provided by the embodiment.
The embodiments of the present application also provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method provided by the above embodiments.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, where the above program may be stored in a computer readable storage medium, and when the program is executed, the program performs steps including the above method embodiments; and the aforementioned storage medium may be at least one of the following media: read-only Memory (ROM), RAM, magnetic disk or optical disk, etc.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment is mainly described in a different point from other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, with reference to the description of the method embodiments in part. The apparatus and system embodiments described above are merely illustrative, in which elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Claims (7)
- An ai psychological consultation method, characterized by comprising the steps of:initial guidance of the emotion of the user: firstly, sending communication information to a user and guiding the emotion of the user to be fixed in a state;then, acquiring human physiological signals of a user, and then, carrying out data standardization on the human physiological signals of the user;Then calculating the general predicted emotional state of the user based on the collected human physiological signals of the user, then judging whether the calculated general predicted emotional state of the user is the emotional state of the user with fixed emotion guided in the initial guiding of the emotion of the user, and judging the user as a general user if the calculated general predicted emotional state of the user is the emotional state of the user with fixed emotion guided in the initial guiding of the emotion of the user;Judging the user as a personalized user if the calculated general predicted emotional state of the user is not an emotional state in which the emotion of the user is fixed in the initial guiding of the emotion of the user;Then, guiding the initial emotion of the user to the end of the general user, continuously collecting the human physiological signals of the user, calculating the general predicted emotion state of the user based on the collected human physiological signals of the user, and starting psychological consultation communication based on the general predicted emotion state of the user;Then, continuously guiding the emotion of the user in an initial stage for the personalized user, continuously collecting human physiological signals of the user, forming a personalized physiological signal data set of the user, and establishing a corresponding relation between the personalized physiological signals and the emotion states of the user based on the personalized physiological signal data set of the user;And then ending the guidance of the initial emotion stage of the personalized user, continuously collecting the human physiological signals of the personalized user, calculating the personalized predicted emotion state of the user based on the collected human physiological signals of the personalized user, and starting psychological consultation communication based on the personalized predicted emotion state of the user.
- 2. The AI psychological consulting method of claim 1, wherein the data normalization of the user's human physiological signals specifically comprises: preprocessing the acquired data, including abnormal value removal, missing value filling and denoising operation, so as to ensure the quality and accuracy of the data; for data with different sources and formats, corresponding conversion is needed, so that the data with uniform formats and standards is convenient for subsequent data analysis and mining; for data encoding, it is converted into numbers or symbols that the computer can understand and process; in order to eliminate the influence of different dimensions on data, data normalization processing is needed to convert the data into a unified dimensionless form; the format, unit and precision requirements of the data are defined so as to ensure the normalization and consistency of the data.
- 3. The AI psychological consulting method of claim 1, wherein sending the communication information to the user and guiding the emotion of the user to be fixed in a state comprises sending a voice or text for fixing the emotion of the user through a voice device or a chat intelligent terminal, and the information content of the voice or text comprises "please you want to go to something you are hard to go", "please you want to go to something you are angry" and "please you want to go to something you are happy".
- 4. The AI psychological consulting method of claim 1, wherein the human physiological signal of the user comprises a heart rate signal, a motion sensing signal, a skin electrical signal.
- 5. The AI psychological consulting method of claim 1, wherein the general predicted emotional state of the user specifically refers to an emotional state calculated according to a correspondence between a physiological signal of a human body of the general user and the emotional state, assuming that the user belongs to the general user.
- 6. The AI psychological consulting method of claim 1, wherein the personalized predicted emotional state of the user specifically refers to an emotional state calculated according to a correspondence relationship between the personalized physical signal and the emotional state of the personalized user, assuming that the user belongs to the personalized user.
- An AI psychological consulting system comprising a computer device in which the data calculation of the AI psychological consulting method of claim 1 is configurable.
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