Body temperature detection method and device and storage medium

Abstract

The invention relates to a body temperature detection method and device and a storage medium. The body temperature detection method comprises the steps that environment parameters and the skin temperature detected by wearable equipment are obtained, and the wearable equipment is worn at the skin position of a user; and correcting the skin temperature by using the environmental parameters to obtain the corrected body temperature of the user. According to the body temperature detection method, the obtained skin temperature detected by the wearable device is corrected by obtaining the environment parameters, the corrected body temperature of the user is determined, and the use requirement of the user is met.

Description

Technical Field

[0001] The present disclosure relates to the field of health monitoring, and in particular, to a body temperature detection method, device, and storage medium. Background Art

[0002] Body temperature is an important indicator to measure the health status of the human body. Measuring and analyzing the human body temperature helps with medical research.

[0003] In the related art, when using conventional measurement methods such as a thermometer for measurement, it is impossible to collect data for a long time and the collected data has a large error; when using wearable devices for measurement, the error is large due to the wearing position and external environmental interference, and the data collected by each wearable device cannot be shared. How to obtain accurate body temperature data is an urgent problem to be solved. Summary of the Invention

[0004] To overcome the problems existing in the related art, the present disclosure provides a body temperature detection method, device, and storage medium.

[0005] According to the first aspect of the embodiments of the present disclosure, a body temperature detection method is provided, which is characterized by including: obtaining environmental parameters and skin temperature detected by a wearable device, where the wearable device is worn on the skin position of a user; using the environmental parameters to correct the skin temperature to obtain a corrected body temperature of the user.

[0006] In an implementation manner, the using the environmental parameters to correct the skin temperature to obtain a corrected body temperature of the user includes: correcting the skin temperature detected by the wearable device based on the environmental parameters, the detected skin temperature, and a temperature correction model to obtain a corrected body temperature of the user; the temperature correction model is pre-trained based on environmental simulation parameters, detected skin temperature, and simulated body temperature of a user; the simulated body temperature of the user is simulated and generated by a human body simulation device, and the environmental simulation parameters are simulated and generated by an environmental simulation device.

[0007] In one embodiment, the temperature correction model is pre-trained based on environmental simulation parameters, detected skin temperature, and simulated user body temperature in the following manner: Determine simulated user body temperature label data, environmental simulation parameter training data, and determine the detected skin temperature training data detected by the wearable device. Among them, the simulated user body temperature label data is obtained by controlling a human body simulation device to simulate a simulated user body temperature. The environmental simulation parameter training data is used to control an environmental simulation device to generate an external environment. The detected skin temperature training data is obtained by the wearable device detecting the simulated user body temperature in a simulated environment. Among them, the simulated environment includes the environmental simulation device generating environmental simulation parameters and the human body simulation device generating a simulated user body temperature; Based on the simulated user body temperature label data, the environmental simulation parameter training data, and the detected skin temperature training data, the temperature correction model is trained.

[0008] In one embodiment, controlling the environmental simulation device to generate an external environment includes: controlling the environmental simulation device to respond to a second parameter to simulate and generate an external environment matching the second parameter; Among them, the second parameter is set based on a visual interaction device and includes at least one of the following environmental simulation parameters: temperature, humidity, and wind speed.

[0009] In one embodiment, controlling the human body simulation device to simulate and generate a simulated user body temperature includes: controlling the human body simulation device to respond to a first parameter to simulate and generate a simulated user body temperature matching the first parameter; Among them, the first parameter is set based on a visual interaction device and includes at least one of the following human body simulation parameters: thermal conductivity, perfusion index, core temperature, and change period.

[0010] In one embodiment, controlling the human body simulation device to respond to a first parameter to simulate and generate a simulated user body temperature matching the first parameter includes: calling a heating device inside the human body simulation device, heating the inner filler of the human body simulation device through the heating device, and maintaining the temperature of the inner filler at the human internal temperature to simulate the human internal temperature environment; Simulating the human external temperature environment with heat dissipation of human skin tissue through the outer filler of the human body simulation device; According to the first parameter, a simulated user body temperature is simulated in the human internal temperature environment and the human external temperature environment.

[0011] In one embodiment, the method further includes: controlling the human body simulation device to simulate and generate a simulated user body temperature under at least one of the following rhythms: circadian rhythm, monthly rhythm, annual rhythm, and sleep rhythm.

[0012] According to a second aspect of the embodiments of the present disclosure, a body temperature detection device is provided, including a receiving unit configured to obtain environmental parameters and skin temperature detected by a wearable device, where the wearable device is worn at a skin position of a user; and a processing unit configured to correct the skin temperature by using the environmental parameters to obtain a corrected body temperature of the user.

[0013] In one implementation, the processing unit corrects the skin temperature by using the environmental parameters in the following manner to obtain a corrected body temperature of the user: Based on the environmental parameters, the detected skin temperature, and a temperature correction model, correct the skin temperature detected by the wearable device to obtain a corrected body temperature of the user; the temperature correction model is pre-trained based on environmental simulation parameters, detected skin temperature, and simulated body temperature of a user; the simulated body temperature of the user is simulated and generated by a human body simulation device, and the environmental simulation parameters are simulated and generated by an environmental simulation device.

[0014] In one implementation, the processing unit pre-trains the temperature correction model based on environmental simulation parameters, detected skin temperature, and simulated body temperature of a user in the following manner: Determine simulated body temperature label data, environmental simulation parameter training data, and determine detected skin temperature training data detected by the wearable device, where the simulated body temperature label data is obtained by controlling the human body simulation device to simulate and generate a simulated body temperature of a user, the environmental simulation parameter training data is used to control the environmental simulation device to generate an external environment, and the detected skin temperature training data is obtained by the wearable device detecting the simulated body temperature of the user in a simulated environment, where the simulated environment includes the environmental simulation device generating environmental simulation parameters and the human body simulation device generating a simulated body temperature of a user; Train the temperature correction model based on the simulated body temperature label data, the environmental simulation parameter training data, and the detected skin temperature training data.

[0015] In one implementation, the processing unit controls the environmental simulation device to generate an external environment in the following manner: Control the environmental simulation device to respond to a second parameter to simulate and generate an external environment matching the second parameter; where the second parameter is set based on a visual interaction device and includes at least one of the following environmental simulation parameters: temperature, humidity, and wind speed.

[0016] In one implementation, the processing unit controls the human body simulation device to simulate and generate a simulated body temperature of a user in the following manner: Control the human body simulation device to respond to a first parameter to simulate and generate a simulated body temperature of a user matching the first parameter; where the first parameter is set based on a visual interaction device and includes at least one of the following human body simulation parameters: thermal conductivity, perfusion index, core temperature, and change period.

[0017] In one embodiment, the processing unit controls the human simulation device to respond to a first parameter in the following manner to simulate and generate a simulated user body temperature that matches the first parameter, including: invoking a heating device inside the human simulation device, heating an inner filler of the human simulation device through the heating device, and maintaining the temperature of the inner filler at the internal body temperature of the human body to simulate the internal body temperature environment of the human body; simulating the external body temperature environment of the human body with heat dissipation of human skin tissue through an outer filler of the human simulation device; and simulating and generating a simulated user body temperature according to the first parameter in the internal body temperature environment and the external body temperature environment of the human body.

[0018] In one embodiment, the processing unit further adopts the following manner: controlling the human simulation device to simulate and generate a simulated user body temperature under at least one of the following rhythms: circadian rhythm, monthly rhythm, annual rhythm, and sleep rhythm.

[0019] According to a third aspect of the embodiments of the present disclosure, a wearable device is provided, including: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to: execute the body temperature detection method described in the first aspect or any one of the embodiments of the first aspect.

[0020] According to a fourth aspect of the embodiments of the present disclosure, a storage medium is provided, in which instructions are stored, and when the instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to execute the body temperature detection method described in the first aspect or any one of the embodiments of the first aspect.

[0021] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: through the current environmental parameters and the skin body temperature data detected by the wearable device, the current skin body temperature data is corrected according to the detected current environmental parameters to obtain the corrected skin body temperature data, meeting the user's need to use the corrected skin body temperature data.

[0022] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0024] Figure 1 is a flowchart of a body temperature detection method shown according to an exemplary embodiment.

[0025] Figure 2 is a flowchart of a method for correcting skin temperature shown according to an exemplary embodiment.

[0026] Figure 3 Flowchart of a method for training a temperature correction model shown according to an exemplary embodiment.

[0027] Figure 4 Flowchart of a method for controlling an environmental simulation device to generate an external environment shown according to an exemplary embodiment.

[0028] Figure 5 Flowchart of a method for controlling a human body simulation device to simulate and generate a simulated user body temperature shown according to an exemplary embodiment.

[0029] Figure 6 Flowchart of a method for controlling a human body simulation device to simulate and generate a simulated user body temperature matching a first parameter shown according to an exemplary embodiment.

[0030] Figure 7 Schematic diagram of a human body simulation device shown according to an exemplary embodiment.

[0031] Figure 8 Flowchart of a method for a human body simulation device to simulate and generate a simulated user body temperature under multiple rhythms shown according to an exemplary embodiment.

[0032] Figure 9 Schematic diagram of a body temperature detection method shown according to an exemplary embodiment.

[0033] Figure 10 Schematic diagram of a correction process shown according to an exemplary embodiment.

[0034] Figure 11 Schematic diagram of another correction process shown according to an exemplary embodiment.

[0035] Figure 12 Block diagram of a body temperature simulation device shown according to an exemplary embodiment.

[0036] Figure 13 Block diagram of a device for body temperature simulation shown according to an exemplary embodiment. Detailed implementation

[0037] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0038] A body temperature detection method provided by an embodiment of the present disclosure is applied to the field of health monitoring.

[0039] In the medical field, biological vital signs include respiration, body temperature, blood pressure, pulse, etc. They are the pillars to maintain the normal activities of the body. When an abnormality occurs in a certain vital sign in the organism, it indicates that the organism has a serious or fatal disease. Therefore, it is necessary to detect the body temperature of the organism and measure accurate body temperature data.

[0040] In the related art, using conventional monitoring tools such as thermometers to monitor body temperature has several disadvantages. For example, the measurement site is single, and it can only be measured in the oral cavity, armpit or rectum, and cannot be measured at sites such as the ankle and wrist. Moreover, conventional monitoring tools cannot measure biological vital signs for a long time. Using wearable devices to monitor body temperature solves the problems of single measurement site and inability to monitor for a long time of conventional detection tools, but the monitoring of body temperature is still easily affected by the external environment, resulting in inaccurate body temperature data collected.

[0041] In view of this, a body temperature detection method provided by the present disclosure can simulate body temperature, measure it, and output accurate body temperature data.

[0042] Figure 1 is a flowchart of a body temperature detection method shown according to an exemplary embodiment, as Figure 1 , including the following steps.

[0043] In step S11, environmental parameters and skin temperature detected by the wearable device are obtained.

[0044] Among them, the wearable device is worn on the skin position of the user.

[0045] In step S12, the skin temperature is corrected using the environmental parameters to obtain the corrected body temperature of the user.

[0046] In the embodiment of the present disclosure, the terminal obtains the currently measured body temperature data and the current external environment data through the body temperature detection device to determine the true body temperature of the current user.

[0047] In the related art, wearable devices are vulnerable to external environmental interference, resulting in inaccurate measured body temperature data. For example, in rainy or snowy weather, the body temperature data detected by the body temperature detection device on the wearable device is lower than the core body temperature; or, in dry weather, the body temperature data detected by the body temperature detection device is higher than the core body temperature; the user wears multiple sets of clothes, resulting in an increase in the skin surface temperature. It can be understood that the purpose of the body temperature detection device to display the measured body temperature data is to predict the core body temperature of the human body, that is, to infer the core body temperature of the human body through the body temperature data measured by the body surface measurement device of the human body, so as to judge the health status of the human body. Therefore, accurate body temperature data needs to be detected by the body temperature detection device.

[0048] Figure 2 is a flowchart of a method for correcting skin temperature shown according to an exemplary embodiment, as Figure 2 shown, and includes the following steps.

[0049] In step S21, the environmental parameters, the detected skin temperature, and the temperature correction model are detected.

[0050] In step S22, based on the environmental parameters, the detected skin temperature, and the temperature correction model, the skin temperature detected by the wearable device is corrected to obtain the corrected user body temperature.

[0051] Among them, the temperature correction model is pre-trained based on the environmental simulation parameters, the detected skin temperature, and the simulated user body temperature; the simulated user body temperature is simulated and generated by a human body simulation device, and the environmental simulation parameters are simulated and generated by an environmental simulation device.

[0052] In the embodiments of the present disclosure, the terminal obtains the currently measured skin temperature data through the current external environmental data and the wearable device, and combines the temperature correction model to determine the current true user body temperature.

[0053] In the embodiments of the present disclosure, a simulated user body temperature is simulated and generated by a human body simulation device, and an environment is simulated by an environmental simulation device, which can simulate various situations including complex environments and human individual differences, enriching the detection data.

[0054] Figure 3 A flowchart of a method for training a temperature correction model shown according to an exemplary embodiment, as Figure 3 shown, and includes the following steps.

[0055] In step S31, the simulated user body temperature label data, the environmental simulation parameter training data, and the detected skin temperature training data detected by the wearable device are determined.

[0056] Among them, the simulated user body temperature tag data is obtained by controlling a human body simulation device to simulate and generate a simulated user body temperature. The environmental simulation parameter training data is used to control an environmental simulation device to generate an external environment. The detected skin temperature training data is obtained by a wearable device detecting the simulated user body temperature in a simulated environment. Among them, the simulated environment includes the situation where the environmental simulation device generates environmental simulation parameters and the human body simulation device generates a simulated user body temperature.

[0057] In the embodiments of the present disclosure, by the simulated user body temperature tag data set by the human body simulation device and the environmental simulation parameter training data set by the environmental simulation device, the corresponding simulated user body temperature and simulated environment can be generated, and the detected skin temperature training data can be detected using a body temperature detection device.

[0058] In step S32, based on the simulated user body temperature tag data, the environmental simulation parameter training data, and the detected skin temperature training data, a temperature correction model is trained.

[0059] In the embodiments of the present disclosure, according to the obtained simulated user body temperature tag data, environmental simulation parameter training data, and detected skin temperature training data, through some mathematical methods such as linear models, non-linear models, machine learning models, and deep learning models, etc., the functional relationships between the three types of data are established to obtain a temperature correction model. Among them, the simulated user body temperature tag data can also be referred to as simulated body temperature tag data. The detected skin temperature training data can also be referred to as body temperature training data.

[0060] In the embodiments of the present disclosure, the purpose of using the temperature correction model to correct the body temperature training data sent by the body temperature detection device is to avoid the interference of the external environment on the measurement device, so that the data measured by the measurement device can accurately infer the core body temperature of the human body.

[0061] Figure 4 According to the flowchart of a method for controlling an environmental simulation device to generate an external environment shown in an exemplary embodiment, as Figure 4 shown, it includes the following steps.

[0062] In step S41, a second parameter is detected.

[0063] In step S42, the environmental simulation device is controlled to respond to the second parameter to simulate and generate an external environment that matches the second parameter.

[0064] Among them, the second parameter is set based on a visual interaction device and includes at least one of the following environmental simulation parameters: temperature, humidity, and wind speed.

[0065] In the embodiments of the present disclosure, the second parameter is used to control the environmental simulation device to generate an external environment that matches the second parameter. It can be understood that the parameters that can be selected in the second parameter include humidity, temperature, and wind speed. For example, if an experiment requires a simulated environment with a temperature of X, a humidity of Y, and a wind speed of Z, the second parameter including a humidity of X, a temperature of Y, and a wind speed of Z is sent to the environmental simulation device, and the required simulated environment can be generated.

[0066] Figure 5 The flowchart of a method for controlling a human body simulation device to simulate and generate a simulated user body temperature according to an exemplary embodiment is as Figure 5 shown, and includes the following steps.

[0067] In step S51, the first parameter is detected.

[0068] In step S52, the human body simulation device is controlled to respond to the first parameter to simulate and generate a simulated user body temperature that matches the first parameter.

[0069] Among them, the first parameter is set based on the visual interaction device and includes at least one of the following human body simulation parameters: thermal conductivity, perfusion index, core temperature, and change period.

[0070] In the embodiments of the present disclosure, the first parameter is used to control the human body simulation device to generate a human body simulated temperature that matches the first parameter. Among them, the simulated user body temperature can also be referred to as the human body simulated temperature.

[0071] It can be understood that the parameters that can be selected in the first parameter include thermal conductivity, perfusion index, core temperature, and change period. For example, if an experiment requires a simulated human body temperature with a thermal conductivity of A, a perfusion index of B, a core temperature of C, and a change period of D, the first parameter including a thermal conductivity of A, a perfusion index of B, a core temperature of C, and a change period of D is sent to the human body simulation device, and the required simulated human body temperature can be generated.

[0072] Figure 6 The flowchart of a method for controlling a human body simulation device to simulate and generate a simulated user body temperature that matches the first parameter according to an exemplary embodiment is as Figure 6 shown, and includes the following steps.

[0073] In step S61, the heating device inside the human body simulation device is called, and the inner filler of the human body simulation device is heated by the heating device to maintain the temperature of the inner filler at the human internal temperature to simulate the human internal temperature environment.

[0074] In the embodiments of the present disclosure, the heating device may be a heater, and a heat source is provided by the heater. The heater may use heaters such as metal heaters and ceramic heaters.

[0075] In the embodiments of the present disclosure, the inner filler is used to provide a uniform and stable heat source to simulate the stable temperature environment inside a living organism. The inner filler may adopt materials with a relatively large specific heat capacity, such as water, oil, etc. In the related art, the temperature provided by the heat source inside the vital sign simulation device is not stable, that is, the position farther from the heat source is less heated, and the position closer to the heat source is more heated. It can be understood that the inner filler of the present disclosure uses materials with a relatively large specific heat capacity, such as water and oil, to fill the internal environment of the human body simulation device, which can ensure that the internal environment is evenly heated, regardless of the distance from the heat source.

[0076] In step S62, the outer filler of the human body simulation device is used to simulate the external temperature environment of the human body with the heat dissipation of human skin tissue.

[0077] In the embodiments of the present disclosure, the outer filler is used to simulate the tissue close to the epidermis of a living organism. The outer filler can select materials close to the thermal conductivity coefficient of the living organism tissue, including but not limited to materials such as silica gel and gel. It can be understood that in order to simulate the individual differences among different people, different outer fillers can be used for simulation according to experimental requirements. That is, in order to more realistically simulate the heat dissipation of living organism tissue, the outer filler can also use multiple layers of materials with different thermal conductivity coefficients, or add silica gel tubes and fill different types of liquids therein to simulate blood heat dissipation.

[0078] In step S63, a simulated user body temperature is generated according to the first parameter under the internal temperature environment of the human body and the external temperature environment of the human body.

[0079] In the embodiments of the present disclosure, the internal temperature environment of the human body and the external temperature environment set according to the first parameter can be used to simulate and match the human body simulation body temperature generated by the first parameter.

[0080] Figure 7 A schematic diagram of a human body simulation device shown according to an exemplary embodiment. As Figure 7 shown, the human body simulation device 103 includes an outer material 105, an outer filler 106, an inner filler 107, a heater 108, and a temperature sensor 109. Among them, the outer material is located on the outermost layer of the human body simulation device. The outer filler is wrapped inside the outer material, the inner filler is wrapped inside the outer filler, and a heater is provided inside the inner filler. The heater is located in the liquid environment of the inner filler. Temperature sensors can be provided inside the inner filler and around the heater in all directions (up, down, left, and right).

[0081] In the embodiments of the present disclosure, the outer layer material is used to simulate the skin of an organism, enabling better contact with external monitoring devices and wrapping the outer layer filler. The outer layer material can be simulated using materials such as leather. It can be understood that in order to simulate individual differences among different populations, different outer layer materials can be used for simulation according to experimental requirements.

[0082] In the embodiments of the present disclosure, a temperature sensor is used to measure the temperature of the inner layer filler, providing feedback for the temperature controller to control the heater so as to stabilize the temperature of the inner layer filler. It can be understood that one or more temperature sensors can be used, which can be located at the edge of the inner layer filler or inside the inner layer filler, and away from the heater.

[0083] Figure 8 A flowchart of a method for a human body simulation device to simulate and generate a simulated user body temperature under multiple rhythms, as shown in Figure 8 shown, includes the following steps.

[0084] In step S81, the rhythms required for the experiment are obtained, including at least one of the following: circadian rhythm, monthly rhythm, annual rhythm, and sleep rhythm.

[0085] In step S82, the human body simulation device simulates and generates a simulated user body temperature based on the rhythms required for the experiment.

[0086] In the embodiments of the present disclosure, the human body simulation device can obtain rhythms to simulate the human body temperature. Among them, the rhythms include circadian rhythm, monthly rhythm, annual rhythm, and sleep rhythm, etc. It can be understood that the circadian rhythm, monthly rhythm, annual rhythm, and sleep rhythm of different objects are also different. For example, the temperature of a man may be different during the day or at night, different in summer or winter, and also different when awake or asleep. Similarly, the temperature of a woman may be different during the day or at night, different in summer or winter, and also different when awake or asleep. It can be understood that in order to simulate the circadian rhythm, monthly rhythm, annual rhythm, and sleep rhythm of different objects in the present disclosure, the second parameters of the environmental simulation device and the first parameters of the human body simulation device can be set accordingly to generate different rhythms.

[0087] Figure 9 A schematic diagram of a body temperature detection method shown according to an exemplary embodiment. As shown in Figure 9As shown, it includes an interaction module 100, a host computer 101, an environment simulation device 102, a human body simulation device 103, and a test device 104. Among them, the interaction module 100 can be a terminal for users to set different body temperature simulation parameters, processes, and displays, etc.; the parameters, processes, and display schemes set by the interaction module are controlled and managed by the host computer 101. After receiving the user configuration parameters sent by the interaction module, the host computer controls the environment simulation device and the human body simulation device to meet the simulation requirements. The environment simulation device is used to simulate different environmental changes, including but not limited to temperature, humidity, wind speed, etc. The human body simulation device is used to simulate the thermal characteristics of the human body. Several test devices 104 are placed outside, including but not limited to smart watches, heart rate belts, etc. The test device, that is, the body temperature detection device, is used to measure the current environmental parameters and the current body temperature. The heater 108, the temperature sensor 109, the inner layer wrapped with the outer filler 106, the outer layer wrapped with the outer filler 107, etc. are all connected to the host computer 101. In order to maintain a stable internal temperature, the host computer is used to analyze the value of the temperature sensor 109 and use feedback control (such as PID control) to control the heater 108 to heat so that the inner filler 107 is stable at the temperature set value.

[0088] In the embodiments of the present disclosure, the interaction module is used to set environment simulation parameters (temperature, humidity, wind speed, etc.), human body simulation parameters (thermal conductivity, perfusion index, core temperature, change period, etc.), acquisition processes (heating stage time, cooling stage time, environmental change curve, etc.), etc. The interaction module can be in the form of a remote control, host computer software, etc.

[0089] In the embodiments of the present disclosure, users can set the experimental parameters of the environment simulation device and the human body simulation device in various ways. For example, on the display interface of the host computer, the user sets the template parameter options on the display interface, and the host computer sends the parameters set by the user to the environment simulation device and the human body simulation device for simulation. Or, on the display interface of the interaction module terminal, such as a mobile phone, a tablet computer, or a remote control and other devices, the user sets the template parameter options on the display interface, and the host computer sends the parameters set by the user to the environment simulation device and the human body simulation device for simulation.

[0090] In the embodiments of the present disclosure, the host computer is used to receive the parameters set by the interaction module and control the environment simulation device and the human body simulation device to generate corresponding responses. In addition, in order to maintain a stable core temperature, the host computer monitors the inner layer temperature through the temperature sensor and adjusts the heating power of the heater through feedback control to make the temperature of the inner filler stable at the set value to simulate different core body temperatures. The host computer can also adjust the heater to set different temperature change waveforms (slow change, which can be considered quasi-static). The host computer can also visualize various parameters. The host computer can also be used to collect test data and construct a corresponding correction model.

[0091] Figure 10 It is a schematic diagram of a correction process shown according to an exemplary embodiment. As Figure 10 shown, after the environmental simulation device obtains the second parameter and the human body simulation device obtains the first parameter, a corresponding simulated environment and a simulated human body temperature are generated. The body temperature simulation device collects the current environmental parameters and the current body temperature to generate a temperature correction model.

[0092] In the embodiments of the present disclosure, the simulation conditions are adjusted according to the scenarios set by the user. The simulation conditions include human body simulation, environmental simulation, etc. Further, data is collected from the body temperature simulation device and a correction model is constructed. The data collection includes, but is not limited to, relevant parameters required by the algorithm, such as skin temperature data, environmental temperature data, environmental humidity data, etc. The correction model is used to correct the test device, including, but not limited to, linear models, non-linear models, machine learning models, deep learning models, etc. During the process of model construction, according to different requirements, several simulation conditions can be set to repeat the process of data collection and model construction to obtain a more robust correction model.

[0093] Figure 11 It is a schematic diagram of another correction process shown according to an exemplary embodiment. As Figure 11 shown, after the environmental simulation device obtains the second parameter and the human body simulation device obtains the first parameter, a corresponding simulated environment and a simulated human body temperature are generated. Multiple devices, namely the body temperature simulation device, collect the current environmental parameters and the current body temperature to generate their own correction model, i.e., the temperature correction model.

[0094] In the embodiments of the present disclosure, the simulation conditions are adjusted according to the scenarios set by the user. The simulation conditions include human body simulation, environmental simulation, etc. Further, data is collected from several devices and a correction model is constructed. The data collection includes, but is not limited to, relevant parameters required by the algorithm, such as skin temperature data, environmental temperature data, environmental humidity data, etc. The correction model is used to correct the test device, including, but not limited to, linear models, non-linear models, machine learning models, deep learning models, etc. During the process of model construction, according to different requirements, several simulation conditions can be set to repeat the process of data collection and model construction to obtain a more robust correction model.

[0095] In the embodiments of the present disclosure, each test device will detect the body temperature data specific to the test device itself based on the collected data. The test device generates its own correction model based on the body temperature data detected by itself and the current environmental parameters detected, that is, the correction model of each device is more suitable for the device to perform temperature correction.

[0096] Based on the same concept, the embodiments of the present disclosure also provide a body temperature simulation device.

[0097] It can be understood that in order to implement the above functions, the body temperature simulation device provided by the embodiments of the present disclosure includes the corresponding hardware structures and / or software modules for executing each function. Combining the units and algorithm steps of the examples disclosed in the embodiments of the present disclosure, the embodiments of the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solution of the embodiments of the present disclosure.

[0098] Figure 12 is a block diagram of a body temperature simulation device shown according to an exemplary embodiment. Referring to Figure 12 , the device 300 includes a receiving unit 301 and a processing unit 302.

[0099] The receiving unit 301 is configured to obtain environmental parameters and the skin temperature detected by the wearable device, where the wearable device is worn at the skin position of the user;

[0100] The processing unit 302 is configured to correct the skin temperature by using the environmental parameters to obtain the corrected body temperature of the user.

[0101] In the embodiments of the present disclosure, the processing unit 302 is configured to correct the skin temperature detected by the wearable device based on environmental parameters, the detected skin temperature, and a temperature correction model to obtain the corrected body temperature of the user; the temperature correction model is pre-trained based on environmental simulation parameters, the detected skin temperature, and the simulated body temperature of the user; the simulated body temperature of the user is simulated and generated by a human body simulation device, and the environmental simulation parameters are simulated and generated by an environmental simulation device.

[0102] In the embodiments of the present disclosure, the processing unit 302 is configured to determine the simulated body temperature tag data and the environmental simulation parameter training data, and determine the detected skin temperature training data detected by the wearable device, where the simulated body temperature tag data is obtained by controlling the human body simulation device to simulate and generate the simulated body temperature of the user, the environmental simulation parameter training data is used to control the environmental simulation device to generate the external environment, and the detected skin temperature training data is obtained by the wearable device detecting the simulated body temperature of the user in the simulated environment, where the simulated environment includes the environmental simulation device generating environmental simulation parameters and the human body simulation device generating the simulated body temperature of the user; based on the simulated body temperature tag data, the environmental simulation parameter training data, and the detected skin temperature training data, the temperature correction model is trained.

[0103] In an embodiment of the present disclosure, the processing unit 302 is configured to control the environment simulation device to respond to a second parameter, so as to simulate and generate an external environment matching the second parameter; wherein, the second parameter is set based on the visual interaction device and includes at least one of the following environment simulation parameters: temperature, humidity, and wind speed.

[0104] In an embodiment of the present disclosure, the processing unit 302 is configured to control the human body simulation device to respond to a first parameter, so as to simulate and generate a simulated user body temperature matching the first parameter; wherein, the first parameter is set based on the visual interaction device and includes at least one of the following human body simulation parameters: thermal conductivity, perfusion index, core temperature, and change period.

[0105] In an embodiment of the present disclosure, the processing unit 302 is configured to call a heating device inside the human body simulation device to heat the inner filler of the human body simulation device through the heating device, so that the temperature of the inner filler maintains the internal temperature of the human body, so as to simulate the internal temperature environment of the human body; the outer filler of the human body simulation device is used to simulate the external temperature environment of the human body with heat dissipation of human skin tissue; according to the first parameter, a user body temperature is simulated and generated under the internal temperature environment and the external temperature environment of the human body.

[0106] In an embodiment of the present disclosure, the processing unit 302 is configured to control the human body simulation device to simulate and generate a simulated user body temperature under at least one of the following rhythms: circadian rhythm, monthly rhythm, annual rhythm, and sleep rhythm.

[0107] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment related to the method, and will not be elaborated here.

[0108] Figure 13 It is a block diagram of a device 200 for body temperature simulation shown according to an exemplary embodiment. For example, the device 200 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0109] Referring to Figure 13 , the device 200 may include one or more of the following components: a processing component 202, a memory 204, a power component 206, a multimedia component 208, an audio component 210, an input / output (I / O) interface 212, a sensor component 214, and a communication component 216.

[0110] The processing component 202 generally controls the overall operation of the device 200, such as operations associated with display, telephone calls, data communication, camera operations, and recording operations. The processing component 202 may include one or more processors 220 to execute instructions to complete all or part of the steps of the above-described methods. In addition, the processing component 202 may include one or more modules to facilitate the interaction between the processing component 202 and other components. For example, the processing component 202 may include a multimedia module to facilitate the interaction between the multimedia component 208 and the processing component 202.

[0111] The memory 204 is configured to store various types of data to support the operation of the device 200. Examples of such data include instructions for any application or method operating on the device 200, contact data, phone book data, messages, pictures, videos, etc. The memory 204 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disks, or optical disks.

[0112] The power component 206 provides power to the various components of the device 200. The power component 206 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 200.

[0113] The multimedia component 208 includes a screen that provides an output interface between the device 200 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can not only sense the boundaries of touch or swipe actions, but also detect the duration and pressure associated with the touch or swipe operations. In some embodiments, the multimedia component 208 includes a front camera and / or a rear camera. When the device 200 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera may be a fixed optical lens system or have a focal length and optical zoom capabilities.

[0114] The audio component 210 is configured to output and / or input audio signals. For example, the audio component 210 includes a microphone (MIC) that is configured to receive external audio signals when the device 200 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 204 or transmitted via the communication component 216. In some embodiments, the audio component 210 further includes a speaker for outputting audio signals.

[0115] The I / O interface 212 provides an interface between the processing component 202 and peripheral interface modules, and the peripheral interface modules may be a keyboard, a click wheel, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a power button, and a lock button.

[0116] The sensor component 214 includes one or more sensors for providing an assessment of various aspects of the state of the device 200. For example, the sensor component 214 can detect the on / off state of the device 200, the relative positioning of components, such as the display and keypad of the device 200, the sensor component 214 can also detect a change in the position of the device 200 or a component of the device 200, the presence or absence of user contact with the device 200, the orientation or acceleration / deceleration of the device 200, and the temperature change of the device 200. The sensor component 214 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor component 214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 214 may further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0117] The communication component 216 is configured to facilitate communication between the device 200 and other devices in a wired or wireless manner. The device 200 can access a wireless network based on communication standards, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 216 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 216 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0118] In an exemplary embodiment, the apparatus 200 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above method.

[0119] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as the memory 204 including instructions, and the above instructions can be executed by the processor 220 of the apparatus 200 to complete the above method. For example, the non-transitory computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0120] It can be understood that "a plurality of" in the present disclosure means two or more, and other quantifiers are similar thereto. "And / or" describes the association relationship of associated objects and indicates that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after. The singular forms of "a", "the", and "said" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0121] Furthermore, it can be understood that the terms "first", "second", etc. are used to describe various information, but this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other and do not represent a specific order or importance. In fact, the expressions such as "first" and "second" can be used interchangeably. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information.

[0122] Furthermore, it can be understood that unless otherwise specified, "connection" includes direct connection without other components between the two, and also includes indirect connection with other elements between the two.

[0123] Furthermore, it can be understood that although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood that they are required to be performed in the specific order shown or in a serial order, or that all the operations shown are required to obtain the desired result. In a specific environment, multi-tasking and parallel processing may be advantageous.

[0124] Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed by the present disclosure.

[0125] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. A body temperature detection method, characterized in that, it includes: obtaining environmental parameters and skin temperature detected by a wearable device, wherein the wearable device is worn at the skin position of a user; correcting the skin temperature by using the environmental parameters to obtain the corrected body temperature of the user.

2. The method according to claim 1, characterized in that, the correcting the skin temperature by using the environmental parameters to obtain the corrected body temperature of the user includes: correcting the skin temperature detected by the wearable device based on the environmental parameters, the detected skin temperature, and a temperature correction model to obtain the corrected body temperature of the user; the temperature correction model is pre-trained based on environmental simulation parameters, detected skin temperature, and simulated body temperature of a user; the simulated body temperature of the user is simulated and generated by a human body simulation device, and the environmental simulation parameters are simulated and generated by an environmental simulation device.

3. The method according to claim 2, characterized in that, the temperature correction model is pre-trained based on environmental simulation parameters, detected skin temperature, and simulated body temperature of a user in the following manner: determining simulated body temperature label data, environmental simulation parameter training data, and determining detected skin temperature training data detected by the wearable device, wherein the simulated body temperature label data is obtained by controlling the human body simulation device to simulate and generate a simulated body temperature of a user, the environmental simulation parameter training data is used to control the environmental simulation device to generate an external environment, and the detected skin temperature training data is obtained by the wearable device detecting the simulated body temperature of the user in a simulated environment, wherein the simulated environment includes the environmental simulation device generating environmental simulation parameters and the human body simulation device generating a simulated body temperature of a user; training the temperature correction model based on the simulated body temperature label data, the environmental simulation parameter training data, and the detected skin temperature training data.

4. The method according to claim 3, characterized in that, the controlling the environmental simulation device to generate an external environment includes: controlling the environmental simulation device to respond to a second parameter to simulate and generate an external environment matching the second parameter; wherein the second parameter is set based on a visual interaction device and includes at least one of the following environmental simulation parameters: temperature, humidity, and wind speed.

5. The method according to claim 3, characterized in that, the controlling the human body simulation device to simulate and generate a simulated body temperature of a user includes: controlling the human body simulation device to respond to a first parameter to simulate and generate a simulated body temperature of a user matching the first parameter; wherein the first parameter is set based on a visual interaction device and includes at least one of the following human body simulation parameters: thermal conductivity, perfusion index, core temperature, and change period.

6. The method according to claim 5, characterized in that, the controlling the human body simulation device to respond to a first parameter to simulate and generate a simulated body temperature of a user matching the first parameter includes: Call the heating device inside the human body simulation device, and heat the inner filler of the human body simulation device through the heating device to maintain the temperature of the inner filler at the internal temperature of the human body, so as to simulate the internal temperature environment of the human body; Simulate the external temperature environment of the human body with heat dissipation of human skin tissue through the outer filler of the human body simulation device; Simulate and generate a simulated user body temperature according to the first parameter under the internal temperature environment of the human body and the external temperature environment of the human body.

7. The method according to claim 5, wherein, The method further includes: Controlling the human body simulation device to simulate and generate a simulated user body temperature under at least one of the following rhythms: Circadian rhythm, monthly rhythm, annual rhythm and sleep rhythm.

8. A body temperature detection device, wherein, Comprising: A receiving unit, configured to obtain environmental parameters and the skin temperature detected by the wearable device, wherein the wearable device is worn at the skin position of the user; A processing unit, configured to correct the skin temperature by using the environmental parameters to obtain a corrected user body temperature.

9. A wearable device, wherein, Comprising: A processor; A memory for storing processor-executable instructions; wherein, the processor is configured to: execute the body temperature detection method according to any one of claims 1 to 7.

10. A storage medium, wherein, Instructions are stored in the storage medium, and when the instructions in the storage medium are executed by the processor of the terminal, the terminal can execute the body temperature detection method according to any one of claims 1 to 7.

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