CN111341416A

CN111341416A - Psychological stress assessment model processing method and related equipment

Info

Publication number: CN111341416A
Application number: CN201811552210.6A
Authority: CN
Inventors: 夏岚
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2018-12-18
Filing date: 2018-12-18
Publication date: 2020-06-26
Anticipated expiration: 2038-12-18
Also published as: CN111341416B

Abstract

The application discloses a psychological stress assessment model processing method and related equipment, which are applied to terminal equipment, and the psychological stress assessment model of a user is corrected by combining historical behavior data of the user, so that the corrected psychological stress model is more consistent with the relationship between the psychological value of the user and the physiological parameters of the user, the matching degree between the psychological stress model of the user and the user is improved, and the relationship between the psychological stress value of the user and the physiological parameters is accurately reflected. The method comprises the following steps: acquiring historical behavior data of a user; acquiring a first mental stress assessment model of a user; generating a second mental stress evaluation model of the user according to the historical behavior data and the first mental stress evaluation model; the first mental stress assessment model is a mental stress assessment model before modification, the second mental stress assessment model is a mental stress assessment model after modification, and the mental stress assessment model is a model reflecting the relationship between a mental stress value and a physiological parameter.

Description

Psychological stress assessment model processing method and related equipment

Technical Field

The present application relates to the field of computers, and in particular, to a mental stress assessment model processing method and related devices.

Background

The mental conflict and the accompanying emotional experience of a person is a psychological stress, called psychological stress, also called mental stress. Psychological stress is a cognitive and behavioral experience that is composed of both stress sources and stress responses. Modern medicine proves that psychological stress can weaken the immune system of a user, so that external pathogenic factors can cause the body to suffer from diseases. When the psychological stress exceeds the psychological bearing capacity of the user, psychological imbalance is caused, and psychological diseases such as depression and anxiety are caused.

In order to improve the health of a user and avoid psychological, physiological and other diseases in time, a modeling method of a psychological stress assessment model is provided in the prior art, and the method can be used for assessing psychological stress in real time. Specifically, assuming that n testers participate in the psychological stress stimulation experiment, the psychological stress self-evaluation value of each tester after the experiment is obtained,

and each tester uses the sensor to detect the obtained physiological parameter measurement value during the experiment,

thus, n data samples corresponding to n testers are obtained in total, where i denotes a sample number, x_iRepresenting the measured value of the physiological parameter, y, of the sample i_iThe evaluation value of the psychological stress of the sample i, namely the evaluation value of the psychological stress feeling generated by the ith tester in the psychological stress stimulation experiment, is shown. Training data set for modeling

Designing a machine learning method to

As an input to the algorithm, a function,

is the output of the algorithm, thereby creating

And

model of (2)

However, the relationship between the psychological pressure value and the physiological parameter of the user may change over time. The psychological stress assessment model provided in the prior art is a fixed and unchangeable model obtained by training according to a training data set, so that the psychological stress assessment model provided in the prior art cannot adapt to the change of the relationship between the psychological stress value and the physiological parameter of the user.

Disclosure of Invention

The embodiment of the application provides a business processing method and a related device, wherein a mental pressure assessment model of a user is corrected by combining historical behavior data of the user, so that the corrected mental pressure model is more consistent with the relationship between a mental value of the user and a physiological parameter of the user, the matching degree between the mental pressure model of the user and the user is improved, and the relationship between the mental pressure value of the user and the physiological parameter is accurately reflected.

In a first aspect, an embodiment of the present application provides a method for processing a psychological stress assessment model, where the method includes: the terminal device can obtain historical behavior data of the user, the historical behavior data is secondary data obtained after statistics is carried out on past physiological parameters and/or behavior parameters of the user, the terminal device can also obtain a first psychological pressure assessment model of the user, the first psychological pressure assessment model is a psychological pressure assessment model before correction, a second psychological pressure assessment model of the user is generated according to the historical behavior data and the first psychological pressure assessment model, namely the second psychological pressure assessment model is corrected to be a corrected psychological pressure assessment model, the psychological pressure assessment model is a model reflecting the relation between a psychological pressure value and the physiological parameters, and the psychological pressure value can be expressed as a specific numerical value or a psychological pressure grade.

In the application, the terminal equipment acquires the psychological pressure model before the modification of the user and the historical behavior data of the user, and the change of the relation between the psychological pressure value and the physiological parameter of the user can be known by analyzing the historical behavior data of the user, so that the terminal equipment can modify the psychological pressure evaluation model of the user according to the historical behavior data of the user, the modified psychological pressure evaluation model is more in line with the relation between the psychological value of the user and the physiological parameter of the user, the matching degree between the psychological pressure model of the user and the user is improved, and the relation between the psychological pressure value of the user and the physiological parameter is accurately reflected.

In one possible design, the method further includes: the terminal device can acquire the current physiological parameters of the user and generate the psychological pressure evaluation result of the user according to the current physiological parameters of the user and the second psychological pressure evaluation model, wherein the types of the physiological parameters can include electrocardio, myoelectricity, pulse waves and/or electroencephalogram.

According to the method and the device, after the psychological stress assessment model of the user is corrected, the psychological stress condition of the user is assessed by the corrected psychological stress assessment model in time, and therefore the accuracy of the psychological stress assessment result is improved.

In one possible design, the method further includes: the psychological pressure assessment model consists of a psychological pressure reference value, a physiological parameter reference value and a psychological pressure assessment general model, wherein the psychological pressure assessment general model is a model reflecting the change relation between the change amount of a psychological pressure value and the change amount of a physiological parameter, the change amount of the physiological parameter refers to the difference value between a physiological parameter measured value and a physiological parameter reference value, and the change amount of the psychological pressure value refers to the difference value between a psychological pressure value corresponding to the physiological parameter measured value and a psychological pressure value corresponding to the physiological parameter reference value; the terminal device generates a second mental stress assessment model of the user according to the historical behavior data and the first mental stress assessment model, and the method may include: the terminal equipment obtains a correction value of a psychological pressure reference value of the first psychological pressure evaluation model according to the historical behavior data of the user; and generating a second mental pressure evaluation model according to the first mental pressure evaluation model and the correction value.

In the application, the psychological pressure assessment model consists of a psychological pressure reference value, a physiological parameter reference value and a psychological pressure assessment general model, and subjective factors of psychological pressure assessment can be eliminated to a certain extent, so that a modeling result can reflect the change of the psychological pressure value more objectively and accurately. And the specific implementation mode of adjusting the psychological pressure evaluation model is to adjust the psychological pressure reference value, so that the specific implementation mode of adjusting the psychological pressure evaluation model is provided, and the realizability of the scheme is improved.

In one possible design, deriving a second mental stress assessment model based on the first mental stress assessment model and the correction value includes: acquiring a first psychological pressure reference value of the first psychological pressure evaluation model; acquiring a first weight of a first psychological pressure reference value and a second weight of a correction value; determining a second psychological pressure reference value of a second psychological pressure evaluation model according to the first psychological pressure reference value, the first weight, the correction value and the second weight; and determining a second mental stress evaluation model according to the second mental stress reference value and the first mental stress evaluation model.

In the application, a specific obtaining mode of the first mental pressure reference value is provided, and the realizability of the scheme is improved.

In a possible design, the obtaining, by the terminal device, the corrected value of the psychological stress benchmark of the first psychological stress assessment model according to the historical behavior data specifically includes: the psychological pressure benchmark evaluation model may be obtained in advance through a psychological pressure baseline experiment with a large sample size, and is a model reflecting a relationship between a correction value of the psychological pressure benchmark of the first psychological pressure evaluation model and the historical behavior data, the terminal device may obtain the psychological pressure benchmark evaluation model of the user by downloading from a server or locally calling, and input the historical behavior data of the user into the psychological pressure benchmark evaluation model to obtain the correction value of the psychological pressure benchmark of the first psychological pressure evaluation model.

According to the method and the device, the psychological pressure reference value evaluation model is obtained in advance according to the historical behavior data and the psychological pressure self-evaluation values of a plurality of testers, the obtained historical behavior data are input into the psychological pressure reference value evaluation model to obtain the correction value, and the correction value obtained by using the psychological pressure reference value evaluation model is more accurate due to the fact that the psychological pressure reference value evaluation model is obtained through statistics on the basis of the plurality of testers, and the matching degree between the corrected psychological pressure model and the user is improved.

In one possible design, the data type of the historical behavior data may include sleep behavior data, exercise behavior data, and/or work behavior data, wherein the sleep behavior data may include sleep duration and/or sleep quality, the sleep quality may be represented as a specific numerical value or may be a sleep level, the exercise behavior data may include exercise duration and/or exercise intensity, and the work behavior data may include work duration and/or work intensity.

In the application, as the sleeping duration, the sleeping quality, the exercise duration, the exercise intensity, the working duration and/or the working intensity of the user cannot cause drastic change of the physiological parameters of the user in a short period, if the user sleeps well, or enhances exercise, or has less workload, the psychological pressure value of the user can be reduced to a great extent, that is, great fluctuation of the psychological pressure value of the user can be caused, and the data are taken as input data of the psychological pressure benchmark evaluation model to correctly reflect the change of the psychological benchmark.

In one possible design, the obtaining, by the terminal device, historical behavior data of the user includes: the terminal device obtains historical behavior data of a previous period of a user under the condition that the terminal device meets a periodic correction condition of a psychological stress assessment model, wherein the terminal device can be regarded as meeting the periodic correction condition when entering a new period, and can also be regarded as meeting the periodic correction condition when receiving a psychological stress assessment instruction for the first time in the new period.

In the application, the terminal equipment can periodically and actively update the psychological pressure evaluation model of the user, the condition that the user forgets to manually update the psychological pressure evaluation model to generate an inaccurate psychological pressure evaluation result is avoided, the result accuracy is improved, and good user experience is provided.

In one possible design, the obtaining, by the terminal device, historical behavior data of a previous period of the user when the condition of the periodically revised mental stress assessment model is satisfied may specifically include: when the terminal equipment acquires a psychological stress assessment instruction, determining the time for executing the psychological stress assessment operation; and under the condition that the psychological stress assessment operation is determined to be performed for the first time in the current period according to the time and a preset period rule, acquiring historical behavior data of the previous period, wherein the preset period rule can comprise a period length and a division point of an adjacent period, and the division point of the adjacent period can be the time when the user wakes up in sleep or a fixed time point.

In the application, before the psychological pressure assessment operation is executed each time, whether the assessment operation is executed for the first time in a new period is judged, and under the condition that the assessment operation is not executed for the first time, according to historical behavior data of the previous period, because the execution of the assessment operation is used as a trigger condition, the condition that the psychological pressure assessment model is not used after the psychological pressure assessment model is corrected is avoided, so that the waste of terminal equipment resources is avoided, the psychological pressure assessment model used each time is guaranteed to be a corrected model, and the accuracy of the finally measured psychological pressure value of the user is guaranteed.

In one possible design, the obtaining, by the terminal device, historical behavior data of the user includes: the terminal equipment acquires the historical behavior data of the user under the condition that the terminal equipment receives the mental stress assessment model correction instruction, wherein the historical data of the user can acquire all the historical behavior data of the current user by taking the time when the mental stress assessment model correction instruction is received as the termination time, can also acquire part of the historical behavior data of the current user, and can also acquire the historical behavior data of the current user with fixed time.

In the application, the terminal equipment can also obtain the historical behavior data of the user according to the psychological pressure assessment model correction instruction input by the current user, and corrects the psychological pressure assessment model of the current user, so that the accuracy of the measured psychological pressure value is improved, and the psychological pressure assessment model can be corrected at any time according to the needs of the user, so that the convenience of the scheme is improved, and the user experience is improved.

In one possible design, the length of the modification period of the mental stress assessment model is one day and/or one week and/or one month and/or one year.

In the application, various optional schemes for correcting the period are provided, and the flexibility and the integrity of the scheme are improved.

In one possible design, after generating the psychological stress assessment result of the user, the method may further include: outputting a warning prompt when the psychological pressure value of the user is higher than or equal to a preset threshold value; or in the case that the psychological pressure value of the user is higher than or equal to a preset threshold value, presenting the output psychological pressure evaluation value.

In the application, when the psychological pressure evaluation value of the user is higher than or equal to the preset threshold value, the user can be reminded in time, so that the user can adjust in time when the psychological pressure does not bring damage to the body yet, and a proper decompression means can be adopted to keep the body healthy.

In a second aspect, an embodiment of the present application provides a terminal device, where the terminal device includes an obtaining unit and a generating unit, where the obtaining unit is configured to obtain historical behavior data of a user; the acquisition unit is also used for acquiring a first mental stress assessment model of the user; the generating unit is used for generating a second mental stress evaluation model of the user according to the historical behavior data and the first mental stress evaluation model; the first mental stress assessment model is a mental stress assessment model before modification, the second mental stress assessment model is a mental stress assessment model after modification, and the mental stress assessment model is a model reflecting the relationship between a mental stress value and a physiological parameter.

In the application, the obtaining unit obtains the psychological pressure model before the correction of the user and the historical behavior data of the user, and the historical behavior data of the user can be analyzed to obtain the change of the relation between the psychological pressure value and the physiological parameter of the user, so that the psychological pressure evaluation model of the user can be corrected according to the historical behavior data of the user, and the generating unit generates the second psychological pressure evaluation model after the correction, so that the second psychological pressure evaluation model is more consistent with the relation between the psychological value of the user and the physiological parameter of the user, the matching degree between the psychological pressure model of the user and the user is improved, and the relation between the psychological pressure value of the user and the physiological parameter is accurately reflected.

The constituent modules of the terminal device may also perform the steps described in the foregoing first aspect and various possible implementations, which are detailed in the foregoing descriptions of the first aspect and various possible implementations.

In a third aspect, an embodiment of the present application provides a communication device, including a processor and a memory; wherein, the memory is used for storing computer operation instructions; the processor is configured to invoke the computer operation instructions to cause the communication device to execute the method of mental stress assessment model processing described in the above first aspect.

In a fourth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of mental stress assessment model processing as described above in the first aspect.

In a fifth aspect, the present application provides a computer-readable storage medium, in which instructions for processing a mental stress assessment model are stored, and when the instructions are executed on a computer, the instructions cause the computer to execute the method for processing the mental stress assessment model described in the first aspect.

In a sixth aspect, the present application provides a chip system comprising a processor for enabling a network device to implement the functions referred to in the above aspects, e.g. to transmit or process data and/or information referred to in the above methods. In one possible design, the system-on-chip further includes a memory for storing program instructions and data necessary for the network device. The chip system may be formed by a chip, or may include a chip and other discrete devices.

In addition, for technical effects brought by any implementation manner of the third aspect to the sixth aspect, reference may be made to the technical effects brought by the implementation manner of the first aspect, and details are not described here.

Drawings

Fig. 1 is a schematic view of an application scenario of a psychological stress assessment model processing method according to an embodiment of the present application;

fig. 2 is a schematic flow chart of a processing method of a psychological stress assessment model according to an embodiment of the present application;

fig. 3 is another schematic flow chart of a psychological stress assessment model processing method according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a terminal device according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of a communication device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a communication device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of a communication device according to an embodiment of the present application.

Detailed Description

The embodiment of the application provides a psychological pressure assessment model processing method and related equipment, wherein a psychological pressure assessment model of a user is corrected by combining historical behavior data of the user, so that the corrected psychological pressure model is more consistent with the relation between a psychological value of the user and a physiological parameter of the user, the matching degree between the psychological pressure model of the user and the user is improved, and the relation between the psychological pressure value of the user and the physiological parameter is accurately reflected.

The embodiments of the present application will be described below with reference to the drawings.

The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Fig. 1 is a schematic structural diagram of an application environment of a psychological stress assessment model processing method according to an embodiment of the present application. The mental stress assessment model processing method provided by the embodiment of the application is realized by the terminal device 100 and the server 200. The terminal device 100 is communicatively connected to the server 200, and the communication mode may be a wireless network, and the wireless network may be a LAN (local area network), a WAN (wide area network), a wireless network, a peer-to-peer network, a star network, a token ring network, a hub network, or other configurations, which are not limited in the present invention.

In this embodiment, the terminal device 100 may be configured to store a psychological stress assessment model of the user, obtain a current physiological parameter of the user, and obtain a psychological stress assessment result of the user according to the psychological stress model of the user, where in some embodiments, the terminal device 100 may directly measure the current physiological parameter of the user, and in some embodiments, the terminal device 100 may obtain the current physiological parameter of the user measured by the measuring device through the communication interface.

In this embodiment, the terminal device 100 may be represented as a mobile phone, a tablet personal computer (tablet personal computer), a laptop computer (laptop computer), a Personal Digital Assistant (PDA), a wearable device (wearable device), a smart watch, a smart bracelet, smart glasses, and other types of smart terminal devices. Although fig. 1 shows a smart band, a mobile phone, and a desktop computer, it should be understood that the number of terminal devices and the specific implementation form are not limited in any way in the following embodiments. Wherein, the system that the terminal equipment can be carried on can comprise

Or other operating systems, etc., in accordance with the present applicationThe examples do not limit this in any way.

In this embodiment of the application, the server 200 may be configured to receive and store the behavior data and the physiological parameters of each user reported by the terminal device 100, may also be configured to store a general model for psychological stress assessment and a model for psychological stress reference value assessment, and may also be configured to store a model for psychological stress assessment of each user, although only one server 200 is shown in fig. 1, the server 200 may be one server, or a server group composed of a plurality of servers, or a cloud computing service center.

The embodiment of the application provides a psychological pressure assessment model processing method, which can acquire a first psychological pressure model of a user, acquire historical behavior data of the user, correct the first psychological pressure assessment model according to the historical behavior data of the user to generate a second psychological pressure model of the user, so as to correct the psychological pressure assessment model of the user in a terminal device.

Periodic correction psychological stress assessment model

Referring to fig. 2 in particular, in the embodiment of the present application, an embodiment of the mental stress assessment model processing method may include:

201. the terminal equipment obtains a mental stress assessment general model.

In the embodiment of the present application, the general psychological stress assessment model is a model reflecting a change relationship between a change amount of a psychological stress value and a change amount of a physiological parameter. The physiological parameter value variation is a difference value between a physiological parameter measurement value and a physiological parameter reference value, and the psychological pressure value variation is a difference value between a psychological pressure value corresponding to the physiological parameter measurement value and a psychological pressure value corresponding to the physiological parameter reference value.

In the embodiment of the present application, the physiological parameter may include a plurality of parameters, for example, electrocardiography, myoelectricity, pulse wave, electroencephalogram, and the like. The psychological stress value may be expressed as a specific numerical value, or a psychological stress level.

In the embodiment of the application, in the modeling process of the general model for psychological stress assessment, before and after a psychological stress stimulation experiment is performed on a tester, the physiological parameters and the psychological stress values of the tester are respectively obtained, the variation of the physiological parameter values before and after the experiment is used as the input of the algorithm, and the variation of the psychological stress values before and after the experiment is used as the output of the algorithm.

The psychological stress stimulation experiment is an experiment for applying psychological stimulation to a tester by means of sound, pictures, videos and the like. During the experiment, measuring physiological parameters of the testee can be completed through the sensor. The psychological stress self-evaluation value can be obtained by allowing the tester to answer a psychological stress questionnaire for the experimental process, or allowing the tester to directly score a preset psychological stress question for the experimental process, and the like.

It should be understood that, in the modeling process of the general model for psychological stress assessment, the psychological stress values obtained before and after the experiment are the psychological stress self-evaluation values of the testers. Although the single absolute psychological pressure self-evaluation value of the tester may not be accurate, the measuring standard of the tester for subjective understanding of the tester in a short time can be considered to be unchanged, so that the change amount of the psychological pressure values before and after the experiment can accurately reflect the psychological pressure change of the test object and is not influenced by the accuracy of the single psychological pressure self-evaluation value.

For example, if a tester knows his/her own psychological stress with an inherent bias of a and the actual psychological stress value before the psychological stress stimulation experiment is B, the tester gives a psychological stress self-evaluation value of a + B before the psychological stress stimulation experiment. Assuming that the intrinsic bias a of the measurer is unchanged in a short time and the true psychological pressure value after the psychological stress stimulation experiment becomes C, the tester gives a psychological pressure self-evaluation value of a + C after the psychological stress stimulation experiment. The self-evaluation change quantity of the psychological pressure before and after the experiment is (A + C) - (A + B), and the change quantity C-B of the real psychological pressure value before and after the stimulation experiment can be correctly reflected.

The training data set of the mental stress assessment general model comprises a plurality of training data sets, wherein the ith training data set comprises an ith physiological parameter value variable quantity and an ith mental stress value variable quantity, the ith physiological parameter value variable quantity is a difference value of physiological parameter measurement values of an ith tester before and after an experiment, and the ith mental stress value variable quantity is a difference value of mental stress values of the ith tester before and after the experiment. Specifically, the physiological parameter values obtained by n testers before the psychological stress stimulation experiment are used

It is shown that,

psychological pressure values obtained before psychological pressure stimulation experiments of n testers corresponding to physiological parameter values of n testers are used

It is shown that,

after the psychological stress stimulation experiment, the physiological parameter measurement values of the n testers and the psychological pressure values of the n testers corresponding to the physiological parameter measurement values of the n testers are collected. For measuring physiological parameters of n testers

It is shown that,

psychological pressure values of n testers corresponding to physiological parameter measurement values of n testers

It is shown that,

the physiological parameter value varies by an amount of

The variation of the psychological pressure value is

n is a positive integer and is generally higher.

Further, a machine learning method is adopted to establish a mental stress assessment general model

Therefore, the general model for psychological stress assessment can eliminate subjective factors of psychological stress assessment to a certain extent, so that the modeling result can objectively and accurately reflect the change of the psychological stress value. The specific machine learning method may be a classification algorithm or a fitting algorithm, and the present application does not relate to an improvement of a specific algorithm, and is not described herein again.

In the embodiment of the application, a psychological stress stimulation experiment covering a large sample size can be designed, and a psychological stress assessment general model suitable for all people can be established, but it should be understood that the modeling process of the psychological stress assessment general model is not necessarily completed by the terminal device, and the psychological stress assessment general model can be acquired from the server for the terminal device and stored on the terminal device.

In the embodiment of the application, one terminal device can store the psychological stress assessment models of a plurality of users, and perform psychological stress assessment on the plurality of users. The terminal device obtains the general model for psychological pressure assessment, specifically, when obtaining a psychological pressure assessment instruction corresponding to the current user, inquiring and judging whether the terminal device stores the psychological pressure assessment model of the current user, if not, inquiring to judge whether the terminal device stores the general model for psychological pressure assessment in advance, and if not, obtaining the general model for psychological pressure assessment from the server; if the mental stress assessment general model exists, the mental stress assessment general model stored on the terminal device is called, and the process goes to step 202. As an example, for example, the users of the terminal device for psychological stress assessment operation include user D and user E, the psychological stress assessment model of user D is stored, and when the terminal device obtains the psychological stress assessment instruction of user E, it may be determined whether the psychological stress assessment model of user E exists on the terminal device, and if not, it may be prompted to obtain the psychological stress reference value and the physiological parameter reference value of user E. It should be understood that the examples are given herein for ease of understanding only and are not intended to be limiting.

The manner of acquiring the psychological pressure assessment instruction by the terminal device may be that a psychological pressure assessment operation trigger instruction input by the user is received, for example, a button corresponding to a psychological assessment function is displayed on a screen, and when a pressing operation on the button is received, the terminal device is regarded as receiving the psychological pressure assessment operation trigger instruction input by the user; as another example, it is also possible to perform psychological stress assessment for the user D when receiving a "please perform psychological stress assessment" input by the user in the form of voice; as another example, an icon corresponding to the psychological assessment function is displayed, for example, through a screen, and when a click operation on the aforementioned icon is received, it is considered that a psychological stress assessment operation trigger instruction input by a user is received; or receiving a psychological stress assessment operation triggering instruction input by a user in other forms, and the like. The terminal equipment can also periodically and automatically execute psychological stress assessment operation on the user, and then the terminal equipment can periodically and automatically generate a psychological stress assessment instruction; the psychological stress assessment instruction sent by other terminal equipment can be received through the communication interface; the mode of obtaining the psychological stress assessment instruction and the like, specifically obtaining the psychological stress assessment instruction, may also be flexibly set in combination with factors such as a specific type of the terminal device, and is not limited herein.

202. The terminal equipment acquires a psychological pressure reference value and a physiological parameter reference value of the user.

In the embodiment of the present application, the psychological pressure reference value may be expressed as a specific numerical value, or a psychological pressure level.

As an implementation manner, the terminal device may have a function of measuring a physiological parameter value, and the terminal device may directly measure a physiological parameter reference value of the user.

As another implementation manner, the terminal device does not have a function of measuring a physiological parameter value, and a physiological parameter reference value generated after the measurement device measures the physiological parameter of the user can be received through the communication interface.

In the embodiment of the application, the terminal device may finish measuring the reference value of the physiological parameter of the current user while, before or shortly after acquiring the reference value of the psychological pressure corresponding to the reference value of the physiological parameter of the current user, and store the reference value in the memory of the terminal device. The terminal device can obtain the psychological pressure reference value of the current user by answering a pre-stored psychological pressure questionnaire by the current user, or directly scoring the psychological pressure value or in other ways.

203. The terminal equipment generates an initial mental stress assessment model of the user.

In the embodiment of the application, the psychological stress assessment model consists of a psychological stress reference value, a physiological parameter reference value and a psychological stress assessment general model and is used for reflecting the relationship between the psychological stress value and the physiological parameter of the user. As an example, the reference value of the physiological parameter of the user is x₀Representing a psychological pressure value y corresponding to a reference value of a physiological parameter of the user₀The mental stress estimation model of the user is obtained by combining the mental stress assessment general model, and is represented as y ═ f (x-x)₀)+y₀。

It should be understood that steps 201 to 203 are optional steps, and if the terminal device stores the psychological stress assessment model of the current user, steps 201 to 203 do not need to be executed, and only when the psychological stress assessment model of the current user does not exist in the terminal device, steps 201 to 203 need to be executed.

204. And the terminal equipment acquires a psychological pressure reference value evaluation model.

In the embodiment of the application, the psychological pressure benchmark evaluation model is a model reflecting the relationship between the correction value of the psychological pressure benchmark of the current user and the historical behavior data of the current user. The correction value of the psychological pressure reference value is the psychological pressure reference value of the new period obtained by inputting the historical behavior data of the previous period into the psychological pressure reference value evaluation model, and is used for adjusting the psychological pressure reference value of the previous period.

In the embodiment of the application, the historical behavior data of the user is secondary data obtained by counting the past physiological parameters and/or behavior parameters of the user, wherein the historical behavior data type of the user may include sleep behavior data, exercise behavior data, work behavior data, leisure behavior data, height growth behavior data, age growth behavior data, other types of behavior data, and/or the like of the user.

In the embodiment of the application, the sleep behavior data may include sleep duration and/or sleep quality, the sleep quality may be a specific numerical value or a sleep level, specifically, the sleep duration and the sleep quality of the user may be obtained by measurement of a heart rate sensor, and may also be flexibly determined by combining with an acceleration sensor or other sensors; the exercise behavior data can comprise exercise duration and/or exercise intensity, the exercise duration can be obtained through an acceleration sensor, and the exercise intensity can be determined by combining the acceleration sensor, a heart rate sensor and the like; the working behavior data can comprise working duration and/or working intensity, the working duration can be determined by utilizing a positioning device of the terminal equipment, and the working intensity can be determined by combining the working duration, the mail traffic intensity, the telephone duration and other factors; the leisure activity data can be determined by using the mobile phone, tablet and other terminals, for example, the duration of playing a game, the duration of watching a video, learning entertainment news, shopping online and the like are combined to determine the leisure activity data of the user, the height increase activity data and the age increase activity data can be obtained when the user performs measurement, or can be obtained by manual input of the user.

In the embodiment of the application, the sleep duration, the sleep quality, the exercise duration, the exercise intensity, the work duration and/or the work intensity of the user cannot cause drastic change of physiological parameters of the user in a short period, but if the user sleeps well, or the user strengthens exercise, or the workload is less, the psychological pressure value of the user can be reduced to a great extent, namely great fluctuation of the psychological pressure value of the user can be caused, and the data are taken as input data of the psychological pressure benchmark evaluation model to correctly reflect the change of the psychological benchmark.

In some embodiments of the application, a modeling process of a psychological pressure reference value evaluation model is to design a psychological pressure baseline evaluation experiment covering a large sample volume, terminal equipment can acquire and record historical behavior data of a previous period of a plurality of testers in real time, and a psychological pressure self-evaluation value of each tester is acquired at the beginning of each new period, and the psychological pressure self-evaluation value can be regarded as a psychological pressure reference value of the testers in the new period; the historical behavior data of the previous period of each tester and the corresponding psychological pressure self-evaluation value are used as input, and a model between the historical behavior data in the previous period and the correction value of the psychological pressure benchmark value at the beginning of the new period (namely the psychological pressure self-evaluation value at the beginning of the new period) is established through a machine learning method, so that the psychological pressure benchmark value evaluation model is generated. It should be understood that the modeling process of the mental stress benchmark evaluation model is not necessarily completed by the terminal device, and the terminal device may obtain the mental stress evaluation general model from the server and store the mental stress evaluation general model on the terminal device.

Specifically, the length of the modification period of the psychological stress assessment model may be one day and/or one week and/or one month and/or one year. For correction periods of different lengths, different psychological stress benchmark evaluation models may exist, that is, a psychological stress benchmark evaluation model with a correction period of one day may be different from a psychological stress benchmark evaluation model with a correction period of one week.

As an implementation manner, since the terminal device may obtain the physiological parameters of the user, the terminal device may know when the user wakes up, and a boundary point of two adjacent periods may be a time when the user wakes up during sleep, for example, when the length of the correction period is one day, the user wakes up every day and then becomes a new period; as another example, for example, if the length of the correction period is one week, then a new period follows the wake-up of the user on a weekly basis.

As another implementation manner, the boundary point of two adjacent cycles may also be a fixed time point, for example, 8 am is a boundary point of two adjacent cycles, when the length of the correction cycle is one day, a new cycle is obtained after 8 am, and when the length of the correction cycle is one week, a new cycle is obtained after 8 am.

In the embodiment of the present application, there may be only one correction period of the psychological stress assessment model on the terminal device, for example, the correction period may be one day or one week; a plurality of periods may be present, and for example, the correction period may be one day or one week, and the setting of the correction period is not limited here.

In the embodiment of the application, various optional schemes for correcting the period are provided, and the flexibility and the integrity of the scheme are improved.

In the embodiment of the application, the terminal device may check and determine whether the psychological pressure reference value evaluation model is stored, if so, retrieve the stored psychological pressure reference value evaluation model, and if not, download the model from the server to obtain the psychological pressure reference value evaluation model.

205. The terminal equipment acquires historical behavior data of a previous period of the user.

In some embodiments of the present application, the terminal device may obtain historical behavior data of a previous period of the user under the condition that the periodic correction condition of the psychological stress assessment model is satisfied.

As an implementation manner, the terminal device may regard as satisfying the periodic correction condition of the psychological stress assessment model when entering a new period, so as to obtain historical behavior data of a previous period of the user. As an example, for example, the length of the correction period is one day, the boundary point of two adjacent periods is the time when the user wakes up during sleep, the terminal device determines that the periodic correction condition of the psychological stress assessment model is satisfied when the user wakes up every day, and then obtains the historical behavior data of the previous day of the user to correct the psychological stress assessment model of the user; as another example, there are two parallel periods, the lengths of the periods are one day and one month respectively, the boundary point of the two adjacent periods is the time when the user wakes up from sleep, then the historical behavior data of the previous day is obtained after the user wakes up every day, and further, after the user wakes up on the first day of each month, the terminal device obtains not only the historical behavior data of the previous day but also the historical behavior data of the previous month to modify the psychological stress assessment model.

As another implementation manner, when the terminal device obtains the psychological stress assessment instruction, the time for performing the psychological stress assessment operation is determined, and when it is determined that the performed psychological stress assessment operation is the first time assessment operation performed in the current period according to the time and a preset period rule, the terminal device regards that the periodic correction condition of the psychological stress assessment model is satisfied, so as to obtain the historical behavior data of the previous period. As an example, the modification period is one month, the boundary point of adjacent periods is the time when the user wakes up from sleep, and when the terminal device receives a psychological stress assessment operation instruction input by the user at 9 o' clock of 12 th, 8 th and the time when the psychological stress assessment operation is performed, the terminal device may determine whether the assessment operation is performed for the first time in the current month by the current user, and if so, acquire historical behavior data of the current user in the previous month to perform modification of the psychological stress assessment model.

In the implementation of the application, before the psychological pressure assessment operation is executed each time, whether the assessment operation is executed for the first time in a new period is judged, and under the condition that the assessment operation is not executed for the first time, according to the historical behavior data of the previous period, because the execution of the assessment operation is used as a trigger condition, the condition that the psychological pressure assessment model is not used after the modification operation is carried out on the psychological pressure assessment model is avoided, so that the waste of terminal equipment resources is avoided, the psychological pressure assessment model used each time is guaranteed to be a modified model, and the accuracy of the finally measured psychological pressure value of the user is guaranteed.

It should be understood that, the foregoing examples of the periodic correction condition are only for convenience of understanding of the present solution, and the terminal device may also set other types of periodic correction conditions, and the details are not limited herein.

206. The terminal equipment obtains the correction value of the psychological pressure reference value of the first psychological pressure evaluation model.

In this embodiment of the application, the terminal device may input historical behavior data of a previous period of the current user into the psychological stress reference value evaluation model to obtain a correction value of the psychological stress reference value of the first psychological stress evaluation model.

In the embodiment of the present application,

207. the terminal equipment acquires a first mental stress assessment model of a user.

In some embodiments of the present application, the first mental stress assessment model is a mental stress assessment model before modification of the current user, and specifically, may be an unmodified mental stress model, that is, an initial mental stress assessment model; the mental stress assessment model that has not been modified in the present period may also be used, for example, a mental stress assessment model in the previous period, or a mental stress assessment model in another period.

It should be understood that, the embodiment of the present application does not limit the execution sequence of step 204 to step 206 and step 207, and step 204 to step 206 may be executed first; step 207 may be performed first, and then step 204 to step 206 may be performed.

208. The terminal device generates a second mental stress assessment model.

In this embodiment, the second mental stress assessment model is a modified mental stress assessment model.

In the embodiment of the application, the terminal equipment can obtain the psychological stress assessment of the last periodEstimating a first psychological pressure reference value (i.e. a psychological pressure reference value before correction) of the model, and generating a second psychological pressure reference value (i.e. a psychological pressure reference value after correction) according to the first psychological pressure reference value and a correction value of the first psychological pressure reference value, specifically, the terminal device may obtain a first weight a (0 < ═ a < ═ 1) of the first psychological pressure reference value; then y is₀＝a*y₀' + (1-a) S, where S is a correction to the first reference value of the psychological pressure, y₀' is a first psychological pressure reference value, y₀Is the second psychological pressure reference value. And further modifying the first psychological pressure reference value into a second psychological pressure reference value, so as to generate a second psychological pressure evaluation model, and deleting the first psychological pressure evaluation model.

In the embodiment of the application, the psychological pressure assessment model consists of a psychological pressure reference value, a physiological parameter reference value and a psychological pressure assessment general model, so that subjective factors of psychological pressure assessment can be eliminated to a certain extent, and a modeling result can reflect the change of the psychological pressure value more objectively and accurately. And the specific implementation mode of adjusting the psychological pressure evaluation model is to adjust the psychological pressure reference value, so that the specific implementation mode of adjusting the psychological pressure evaluation model is provided, and the realizability of the scheme is improved.

In the implementation of the application, after a psychological pressure reference value evaluation model is obtained in advance according to historical behavior data and psychological pressure self evaluation values of a plurality of testers, the obtained historical behavior data is input into the psychological pressure reference value evaluation model to obtain a correction value, and the correction value obtained by using the psychological pressure reference value evaluation model is more accurate due to the fact that the psychological pressure reference value evaluation model is obtained through statistics on the basis of the plurality of testers, and the matching degree between the corrected psychological pressure model and a user is improved. In addition, the terminal equipment can periodically and actively update the psychological pressure evaluation model of the user, the condition that the user forgets to manually update the psychological pressure evaluation model to generate an inaccurate psychological pressure evaluation result is avoided, the result accuracy is improved, and good user experience is provided.

209. The terminal equipment acquires the current physiological parameters of the user.

In the embodiment of the application, after the terminal device completes the operation of correcting the psychological stress assessment model of the user, the current physiological parameters of the user can be obtained, specifically, the current physiological parameters of the user can be obtained through the sensor, and the current physiological parameters of the user measured by the measuring device can also be received through the communication interface.

210. And the terminal equipment generates a psychological stress assessment result of the user.

In this embodiment of the application, the psychological stress evaluation result may include a psychological stress value of the user, may further include an evaluation on the psychological health of the user, and may further include other types of content, and the like, which is not limited herein.

In the embodiment of the application, the terminal device inputs the acquired current physiological parameters of the user into the second mental stress assessment model, generates the mental stress assessment result of the user, and outputs and displays the mental stress assessment result of the user.

In some embodiments of the present application, in a case where a psychological pressure value of a user is higher than or equal to a preset threshold value, not only a psychological pressure evaluation value but also a warning prompt is output. As an example, a flashing red pressure evaluation value may be output through a screen, for example, and as another example, a beep voice warning may be output at the same time as the pressure evaluation value is output through the screen, for example; as another embodiment, for example, a voice warning or the like of "mental stress is too high, please note adjustment" is output together with the pressure evaluation value through the screen. Furthermore, a corresponding daily work and rest suggestion can be output so as to reduce the psychological pressure value of the user. When the psychological pressure evaluation value of the user is higher than or equal to the preset threshold value, the user can be reminded in time, so that the user can adjust in time when the psychological pressure does not damage the body, and a proper pressure reduction means can be adopted to keep the body healthy.

In some embodiments of the present application, in a case that a psychological pressure value of a user is lower than a preset threshold, a psychological pressure evaluation value may be output in a form of a screen or voice broadcast.

In the embodiment of the application, after the mental stress assessment model of the user is corrected, the corrected mental stress assessment model is used for assessing the mental stress condition of the user in time, so that the accuracy of the mental stress assessment result is improved.

Two, performing correction operation irregularly

Referring to fig. 3 in particular, in the embodiment of the present application, an embodiment of the mental stress assessment model processing method may include:

301. the terminal equipment obtains a mental stress assessment general model.

302. The terminal equipment acquires a psychological pressure reference value and a physiological parameter reference value of the user.

303. The terminal equipment generates an initial mental stress assessment model of the user.

In the embodiment of the present application, steps 301 to 303 are similar to steps 201 to 203 in the embodiment shown in fig. 2, and are not described herein again.

304. And the terminal equipment acquires the historical behavior data of the user under the condition of receiving the mental stress assessment model correction instruction.

In some embodiments of the present application, the manner in which the terminal device receives the psychological pressure assessment model modification instruction may be that a button corresponding to the psychological pressure assessment model modification function is displayed on a screen, and when a pressing operation on the button is received, the button is regarded as receiving a psychological pressure assessment operation trigger instruction input by a user; the method can also be used for 'please modify the mental stress assessment model of the user D' when the input of the user in the form of voice is received; the icon corresponding to the mental stress assessment model correction function can be displayed through a screen, and when the clicking operation of the icon is received, the icon is regarded as a triggering instruction of the mental stress assessment model correction operation input by a user; or receiving a triggering instruction of the mental stress assessment model correcting operation input by the user in other forms, and the like.

In some embodiments of the application, after receiving the mental stress assessment model modification instruction of the current user, the terminal device may obtain all historical behavior data of the current user, may also obtain part of historical behavior data of the current user, and may also obtain historical behavior data of the current user for a fixed time, for example, obtain historical behavior data of the current user in the previous month, and specifically obtain which historical behavior data, which may be flexibly set according to an actual situation, and is not limited herein.

305. And the terminal equipment acquires a psychological pressure reference value evaluation model.

In some embodiments of the application, a modeling process of a psychological pressure benchmark evaluation model is designed to cover a psychological pressure baseline evaluation experiment with a large sample size, so that a psychological pressure self-evaluation value of each tester can be obtained, historical behavior data of a fixed time length of the tester before the psychological pressure self-evaluation is obtained, the end point of the fixed time length is the time when the tester performs the psychological pressure self-evaluation, the historical behavior data of the fixed time length of each tester and the corresponding psychological pressure self-evaluation value are used as input, and a model between the historical behavior data of the fixed time length and a correction value of the psychological pressure benchmark (namely the psychological pressure self-evaluation value) is established through a machine learning method, so that the psychological pressure benchmark evaluation model is generated. The length of the fixed time period can be one day and/or one week and/or one month and/or one year, and the length of the fixed time period is different, and the generated psychological stress benchmark evaluation model can be different.

In this embodiment of the application, the terminal device may determine the psychological pressure benchmark evaluation model that needs to be obtained according to the obtained amount of the historical behavior data of the current user, for example, if the terminal device obtains the historical data of a week of the current user, the terminal device may obtain the psychological pressure benchmark evaluation model corresponding to the historical behavior data being one week long. Specifically, the terminal device may download the psychological pressure benchmark evaluation model from the server, and may also invoke the psychological pressure benchmark evaluation model stored in the terminal device, and a specific obtaining manner is not limited herein.

306. The terminal equipment obtains the correction value of the psychological pressure reference value of the first psychological pressure evaluation model.

In this embodiment, the terminal device may output the acquired historical behavior data of the current user to the psychological stress benchmark evaluation model acquired in step 305 to obtain a correction value of the psychological stress benchmark of the first psychological stress evaluation model.

307. The terminal equipment acquires a first mental stress assessment model of a user.

In some embodiments of the application, the first mental stress assessment model is a mental stress assessment model before modification of the current user, that is, a model after the terminal device modifies the mental stress assessment model of the current user according to a mental stress assessment model modification instruction of the current user last time.

It should be understood that the execution sequence of steps 304 to 306 and step 307 is not limited in this embodiment, and steps 304 to 306 may be executed first, and then step 307 may be executed; alternatively, step 307 may be performed first, and then steps 304 to 306 may be performed.

308. The terminal device generates a second mental stress assessment model.

309. The terminal equipment acquires the current physiological parameters of the user.

310. And the terminal equipment generates a psychological stress assessment result of the user.

In the embodiment of the present application, steps 308 to 310 are similar to steps 201 to 210 in the embodiment shown in fig. 2, and are not described herein again.

In the embodiment of the application, the terminal equipment can also acquire the historical behavior data of the user according to the psychological pressure assessment model correction instruction input by the current user, and corrects the psychological pressure assessment model of the current user, so that the accuracy of the measured psychological pressure value is improved, and the psychological pressure assessment model can be corrected at any time according to the needs of the user, so that the convenience of the scheme is improved, and the user experience is improved.

In order to better implement the above-mentioned aspects of the embodiments of the present application, the following also provides related apparatuses for implementing the above-mentioned aspects.

Specifically, referring to fig. 4, which is a schematic structural diagram of a terminal device provided in the embodiment of the present application, the terminal device 400 includes:

an obtaining unit 401, configured to obtain historical behavior data of the user;

the obtaining unit 401 is further configured to obtain a first mental stress assessment model of the user;

a generating unit 402, configured to generate a second mental stress assessment model of the user according to the historical behavior data and the first mental stress assessment model;

the first psychological stress assessment model is a psychological stress assessment model before modification, the second psychological stress assessment model is a psychological stress assessment model after modification, and the psychological stress assessment model is a model reflecting the relationship between a psychological stress value and a physiological parameter.

In the embodiment of the application, the obtaining unit 401 obtains the psychological pressure model before the user is corrected and the historical behavior data of the user, and can learn what change occurs in the relationship between the psychological pressure value and the physiological parameter of the user by analyzing the historical behavior data of the user, so that the psychological pressure evaluation model of the user can be corrected according to the historical behavior data of the user, and the second psychological pressure evaluation model after correction is generated by the generating unit 402, so that the second psychological pressure evaluation model is more in line with the relationship between the psychological value of the user and the physiological parameter of the user, the matching degree between the psychological pressure model of the user and the user is improved, and the relationship between the psychological pressure value of the user and the physiological parameter is accurately reflected.

In this embodiment of the application, the obtaining unit 401 is further configured to obtain a current physiological parameter of the user;

the generating unit 402 is further configured to generate a psychological stress assessment result of the user according to the current physiological parameter measurement value of the user and the second psychological stress assessment model.

In the embodiment of the application, the mental stress assessment model consists of a mental stress reference value, a physiological parameter reference value and a mental stress assessment general model, wherein the mental stress assessment general model is a model reflecting the change relation between the change amount of the mental stress value and the change amount of the physiological parameter;

the generating unit 402 is specifically configured to: obtaining a correction value of a psychological pressure reference value of the first psychological pressure evaluation model according to the historical behavior data; and generating the second mental stress evaluation model according to the first mental stress evaluation model and the correction value.

In this embodiment of the application, the generating unit 402 is specifically configured to: obtaining a psychological stress benchmark evaluation model of the user, wherein the psychological stress benchmark evaluation model is a model reflecting the relationship between the correction value and the historical behavior data; and inputting the historical behavior data into the psychological stress benchmark evaluation model to obtain the correction value.

In the embodiment of the application, the historical behavior data includes sleep duration, sleep quality, exercise duration, exercise intensity, work duration and/or work intensity.

In some embodiments of the present application, the obtaining unit 401 is specifically configured to: and acquiring historical behavior data of the user in the previous period under the condition of meeting the preset periodic correction psychological stress assessment model condition.

In some embodiments of the present application, the obtaining unit 401 is specifically configured to: and under the condition that a mental stress assessment model correction instruction is obtained, obtaining historical behavior data of the user.

In some embodiments of the present application, the obtaining unit 401 is specifically configured to: when a psychological stress assessment instruction is acquired, determining the time for executing the psychological stress assessment operation; and acquiring historical behavior data of the previous period under the condition that the psychological stress assessment operation is determined to be performed for the first time in the current period according to the time and a preset period rule.

In the embodiment of the present application, the length of the modification period of the mental stress assessment model is one day and/or one week and/or one month and/or one year.

In this embodiment of the present application, the terminal device 400 further includes:

an output unit 403, configured to output a warning prompt when the psychological pressure value of the user is higher than or equal to a preset threshold.

In this embodiment of the application, the output unit 403 is further configured to output the psychological pressure value when the psychological pressure value of the user is lower than a preset threshold.

It should be noted that, because the contents of information interaction, execution process, and the like between the modules/units of the apparatus are based on the same concept as the method embodiment of the present application, the technical effect brought by the contents is the same as the method embodiment of the present application, and specific contents may refer to the description in the foregoing method embodiment of the present application, and are not described herein again.

Referring to fig. 5, a schematic structural diagram of a communication device according to an embodiment of the present application is described next, where the communication device may be a terminal device or a circuit. The communication device may be configured to perform the actions performed by the terminal device in the above-described method embodiments.

When the communication device is a terminal device, fig. 5 shows a simplified structural diagram of the terminal device. For easy understanding and illustration, in fig. 5, the terminal device is exemplified by a mobile phone. As shown in fig. 5, the terminal device includes a processor, a memory, a radio frequency circuit, an antenna, and an input-output device. The processor is mainly used for processing communication protocols and communication data, controlling the terminal equipment, executing software programs, processing data of the software programs and the like. The memory is used primarily for storing software programs and data. The radio frequency circuit is mainly used for converting baseband signals and radio frequency signals and processing the radio frequency signals. The antenna is mainly used for receiving and transmitting radio frequency signals in the form of electromagnetic waves. Input and output devices, such as touch screens, display screens, keyboards, etc., are used primarily for receiving data input by a user and for outputting data to the user. It should be noted that some kinds of terminal devices may not have input/output devices.

When data needs to be sent, the processor performs baseband processing on the data to be sent and outputs baseband signals to the radio frequency circuit, and the radio frequency circuit performs radio frequency processing on the baseband signals and sends the radio frequency signals to the outside in the form of electromagnetic waves through the antenna. When data is sent to the terminal equipment, the radio frequency circuit receives radio frequency signals through the antenna, converts the radio frequency signals into baseband signals and outputs the baseband signals to the processor, and the processor converts the baseband signals into the data and processes the data. For ease of illustration, only one memory and processor are shown in FIG. 5. In an actual end device product, there may be one or more processors and one or more memories. The memory may also be referred to as a storage medium or a storage device, etc. The memory may be provided independently of the processor, or may be integrated with the processor, which is not limited in this embodiment.

In the embodiment of the present application, the antenna and the radio frequency circuit having the transceiving function may be regarded as a transceiving unit of the terminal device, and the processor having the processing function may be regarded as a processing unit of the terminal device. As shown in fig. 5, the terminal device includes a transceiving unit 510, a processing unit 520, and an input-output apparatus 530. A transceiver unit may also be referred to as a transceiver, a transceiving device, etc. A processing unit may also be referred to as a processor, a processing board, a processing module, a processing device, or the like. Optionally, a device used for implementing a receiving function in the transceiver unit 510 may be regarded as a receiving unit, and a device used for implementing a transmitting function in the transceiver unit 510 may be regarded as a transmitting unit, that is, the transceiver unit 510 includes a receiving unit and a transmitting unit. A transceiver unit may also sometimes be referred to as a transceiver, transceiving circuitry, or the like. A receiving unit may also be referred to as a receiver, a receiving circuit, or the like. A transmitting unit may also sometimes be referred to as a transmitter, or a transmitting circuit, etc.

It should be understood that the transceiver unit 510 is configured to perform the transmitting operation and the receiving operation on the terminal device side in the above method embodiments, and the processing unit 520 is configured to perform other operations besides the transceiving operation on the terminal device in the above method embodiments.

For example, in one implementation, the transceiver unit 510 is configured to perform the receiving operation on the terminal device side in step 201, step 202, step 204, step 205, step 207, step 209 in fig. 2, and/or the transceiver unit 510 is further configured to perform other transceiving steps on the terminal device side in the embodiment of the present application. The processing unit 520 is configured to perform step 203, step 206, step 208, and step 210 in fig. 2, and/or the processing unit 520 is further configured to perform other processing steps on the terminal device side in the embodiment of the present application.

For another example, in another implementation manner, the transceiver unit 510 is configured to perform the receiving operation at the terminal device side in step 201, step 202, step 204, step 205, and step 207 in fig. 2, and/or the transceiver unit 520 is further configured to perform other transceiver steps at the terminal device side in this embodiment of the present application. The processing unit 520 is configured to perform step 203, step 206, step 208, and step 210 in fig. 2, and/or the processing unit 520 is further configured to perform other processing steps on the terminal device side in the embodiment of the present application. The input/output device 530 is used to execute step 209 in fig. 2, and/or the input/output device 530 is also used to execute other input/output steps on the terminal device side in the embodiment of the present application.

For another example, in another implementation manner, the transceiver unit 510 is configured to perform the receiving operation on the terminal device side in step 301, step 302, step 304, step 305, step 307, and step 309 in fig. 3, and/or the transceiver unit 510 is further configured to perform other transceiving steps on the terminal device side in the embodiment of the present application. Processing unit 520 is configured to perform step 303, step 306, step 308, step/310 in fig. 2, and/or processing unit 520 is further configured to perform other processing steps on the terminal device side in the embodiment of the present application.

For another example, in another implementation manner, the transceiver unit 510 is configured to perform the receiving operation at the terminal device side in

steps

301, 302, 304, 305, and 307 in fig. 3, and/or the transceiver unit 510 is further configured to perform other transceiving steps at the terminal device side in the embodiment of the present application. Processing unit 520 is configured to perform step 303, step 306, step 308, step/310 in fig. 2, and/or processing unit 520 is further configured to perform other processing steps on the terminal device side in the embodiment of the present application. The input/output device 530 is used to execute step 309 in fig. 3, and/or the input/output device 530 is also used to execute other input/output steps on the terminal device side in the embodiment of the present application.

When the communication device is a chip, the chip includes a transceiver unit and a processing unit. The transceiver unit can be an input/output circuit and a communication interface; the processing unit is a processor or a microprocessor or an integrated circuit integrated on the chip.

When the communication device in this embodiment is a terminal device, reference may be made to the device shown in fig. 6. As an example, the device may perform a function similar to the processor of FIG. 5. In fig. 6, the apparatus includes a processor 610, a transmit data processor 620, and a receive data processor 630. The processing unit 520 in the above embodiments may be the processor 610 in fig. 6, and performs corresponding functions. The transceiver unit 510 in the above embodiments may be the transmit data processor 620 and/or the receive data processor 630 in fig. 6. Although fig. 6 shows a channel encoder and a channel decoder, it is understood that these blocks are not limitative and only illustrative to the present embodiment.

Fig. 7 shows another form of the present embodiment. The processing device 700 includes modules such as a modulation subsystem, a central processing subsystem, and peripheral subsystems. The communication device in this embodiment may serve as a modulation subsystem therein. Specifically, the modulation subsystem may include a processor 701 and an interface 702. The processor 701 performs the functions of the processing unit 520, and the interface 702 performs the functions of the transceiver unit 510. As another variation, the modulation subsystem includes a memory 703, a processor 701, and a program stored on the memory 703 and executable on the processor, and the processor 701 implements the method on the terminal device side in the above method embodiment when executing the program. It should be noted that the memory 703 may be non-volatile or volatile, and may be located inside the modulation subsystem or in the processing device 700, as long as the memory 703 can be connected to the processor 701.

Also provided in an embodiment of the present application is a computer-readable storage medium, which stores instructions processed by the mental stress assessment model, and when the instructions are executed on a computer, the computer is caused to perform the steps performed by the terminal device in the method described in the foregoing embodiment shown in fig. 2 or fig. 3.

The embodiment of the present application further provides a computer program product containing instructions for processing a mental stress assessment model, which when executed on a computer, causes the computer to perform the steps performed by the terminal device in the method described in the foregoing embodiment shown in fig. 2 or fig. 3.

Wherein any of the aforementioned processors may be a general purpose central processing unit, a microprocessor, an ASIC, or one or more integrated circuits configured to control the execution of the programs of the method of the first aspect.

Embodiments of the present application also provide a chip system, which includes a processor, and is configured to enable a network device to implement the functions referred to in the foregoing aspects, for example, to transmit or process data and/or information referred to in the foregoing methods. In one possible design, the system-on-chip further includes a memory for storing program instructions and data necessary for the network device. The chip system may be formed by a chip, or may include a chip and other discrete devices.

It should be noted that the above-described embodiments of the apparatus are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiments of the apparatus provided in the present application, the connection relationship between the modules indicates that there is a communication connection therebetween, and may be implemented as one or more communication buses or signal lines.

Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by software plus necessary general-purpose hardware, and certainly can also be implemented by special-purpose hardware including special-purpose integrated circuits, special-purpose CPUs, special-purpose memories, special-purpose components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, for the present application, the implementation of a software program is more preferable. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk of a computer, and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods described in the embodiments of the present application.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.

The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

Claims

1. A psychological stress assessment model processing method is applied to a terminal device, and comprises the following steps:

acquiring historical behavior data of the user;

acquiring a first mental stress assessment model of a user;

generating a second mental stress assessment model of the user according to the historical behavior data and the first mental stress assessment model;

2. The method of claim 1, further comprising:

acquiring the current physiological parameters of the user;

and generating a psychological stress assessment result of the user according to the current physiological parameters of the user and the second psychological stress assessment model.

3. The method according to claim 1, wherein the mental stress assessment model is composed of a mental stress benchmark value, a physiological parameter benchmark value and a mental stress assessment general model, wherein the mental stress assessment general model is a model reflecting a change relationship between a change amount of the mental stress value and a change amount of the physiological parameter;

generating a second mental stress assessment model of the user based on the historical behavioral data and the first mental stress assessment model, comprising:

obtaining a correction value of a psychological pressure reference value of the first psychological pressure evaluation model according to the historical behavior data;

and generating the second mental stress evaluation model according to the first mental stress evaluation model and the correction value.

4. The method according to claim 3, wherein obtaining the corrected value of the psychological stress reference value of the first psychological stress assessment model according to the historical behavior data comprises:

obtaining a psychological stress benchmark evaluation model, wherein the psychological stress benchmark evaluation model is a model reflecting the relationship between the correction value and the historical behavior data;

and inputting the historical behavior data into the psychological stress benchmark evaluation model to obtain the correction value.

5. The method according to any one of claims 1 to 4, wherein the historical behavior data comprises sleep duration, sleep quality, exercise duration, exercise intensity, work duration and/or work intensity.

6. The method according to any one of claims 1 to 4, wherein the obtaining historical behavior data of the user comprises:

acquiring historical behavior data of a previous period of the user under the condition that the periodic correction condition of the psychological stress assessment model is met; or

And under the condition that a mental stress assessment model correction instruction is received, acquiring historical behavior data of the user.

7. The method according to claim 6, wherein the obtaining historical behavior data of the user from a previous cycle with the condition of the periodic modified mental stress assessment model is performed by:

when a psychological stress assessment instruction is acquired, determining the time for executing the psychological stress assessment operation;

and acquiring historical behavior data of the previous period under the condition that the psychological stress assessment operation is determined to be performed for the first time in the current period according to the time and a preset period rule.

8. The method according to claim 6, wherein the length of the modification period of the mental stress assessment model is one day and/or one week and/or one month and/or one year.

9. A terminal device, characterized in that the terminal device comprises:

the acquisition unit is used for acquiring historical behavior data of the user;

the acquisition unit is further used for acquiring a first mental stress assessment model of the user;

the generating unit is used for generating a second mental stress evaluation model of the user according to the historical behavior data and the first mental stress evaluation model;

10. The terminal device of claim 9,

the acquisition unit is further used for acquiring the current physiological parameters of the user;

the generating unit is further configured to generate a psychological stress assessment result of the user according to the current physiological parameter measurement value of the user and the second psychological stress assessment model.

11. The terminal device according to claim 9, wherein the mental stress assessment model is composed of a mental stress benchmark value, a physiological parameter benchmark value and a mental stress assessment general model, wherein the mental stress assessment general model is a model reflecting a change relationship between a change amount of the mental stress value and a change amount of the physiological parameter;

the generating unit is specifically configured to:

obtaining a correction value of a psychological pressure reference value of the first psychological pressure evaluation model according to the historical behavior data; and generating the second mental stress evaluation model according to the first mental stress evaluation model and the correction value.

12. The terminal device of claim 11, wherein the generating unit is specifically configured to:

obtaining a psychological stress benchmark evaluation model of the user, wherein the psychological stress benchmark evaluation model is a model reflecting the relationship between the correction value and the historical behavior data;

13. The terminal device according to any of claims 9 to 12,

the obtaining unit is specifically configured to:

acquiring historical behavior data of a previous period of the user under the condition that a preset periodic correction psychological stress assessment model condition is met; or under the condition of obtaining the mental stress assessment model correction instruction, obtaining the historical behavior data of the user.

14. The terminal device of claim 13, wherein the obtaining unit is specifically configured to:

15. A communication device, comprising:

a processor and a memory; the memory is used for storing computer operation instructions;

the processor, configured to invoke the computer operation instruction to cause the communication device to perform the method according to any one of claims 1 to 8.

16. A computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 8.