CN117131651B - Method and system for generating temperature touch model for determining temperature touch - Google Patents
Method and system for generating temperature touch model for determining temperature touch Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000004744 fabric Substances 0.000 claims abstract description 143
- 238000004088 simulation Methods 0.000 claims abstract description 37
- 238000004590 computer program Methods 0.000 claims description 12
- 238000012795 verification Methods 0.000 claims description 12
- 230000035807 sensation Effects 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 6
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- 241000282412 Homo Species 0.000 description 1
- 102000004310 Ion Channels Human genes 0.000 description 1
- 102000003610 TRPM8 Human genes 0.000 description 1
- 102000003566 TRPV1 Human genes 0.000 description 1
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Abstract
The invention discloses a method and a system for generating a temperature touch model for determining temperature touch, and belongs to the technical field of data model processing. The method of the invention comprises the following steps: determining each environmental setting parameter of the simulated environment based on the setting data of each weather condition; obtaining a set of multi-layer fabric simulation data in a high temperature range and a set of multi-layer fabric simulation data in a low temperature range; obtaining respective temperature data sets of the two groups of multi-layer fabrics under each weather condition; determining a temperature difference between the temperature of the simulated human skin and the temperature of each layer of fabric in the temperature dataset of each of the two groups of multi-layer fabrics; generating the contact temperature touch attribute of the simulated human skin to the fabric; to obtain a temperature touch model for determining the temperature touch of the fabric when in contact. The invention can simulate the touch feeling of human skin to the fabric, thereby determining the touch feeling of the fabric relative to the human skin.
Description
Technical Field
The present invention relates to the field of data model processing technology, and more particularly, to a method and system for generating a temperature haptic model for determining a temperature haptic sensation.
Background
Our ability to perceive heat, cold and touch is critical to survival, which is the basis for our interactions with the surrounding world. In daily life, the existence of these sensations is thought to be of course, but how does the nerve impulses that sense temperature and pressure occur? The breakthrough findings of the nociceptors physiological or medical prize of 2021 about TRPV1, TRPM8 and the Piezo channel family, let us understand how cold, hot, mechanical forces trigger nerve impulses, and the mechanisms by which humans perceive and adapt to external stimuli. The TRP channel family is central to our temperature sensing capabilities. The Piezo2 ion channel then gives us the touch as well as the ability to obtain proprioception. There are a number of other physiological functions in the human body that depend on the TRP and Piezo channel families, which are all based on the body's perception of other stimuli such as temperature and mechanical forces.
The cold and warm feeling of contact refers to the judgment of the cold and warm feeling formed in the brain by the temperature stimulus of the fabric to people when the fabric is contacted with the skin of a human body. The cold and warm feeling is one of important indexes of fabric wearing comfort. People are used to judge the thermal comfort of the fabric through the cold and warm feeling of touching the fabric by hands, and the feeling of the finger skin can influence the decision of purchasing close-fitting clothing. The cold and warm feeling of the finger touching the fabric is mainly determined by the heat flow caused by the temperature difference between the finger tip and the contacted fabric and the cold and warm feeling threshold of the skin at the position.
In the textile field, the former has studied two points of fabric hand feel and clothing contact comfort, because 1. In the wearing comfort of fabrics, contact comfort has the most direct influence on the human body, and whether the human body contacts with clothing plays an important role in determining the comfort state of the wearer. 2. Textile feel is a generalization of the tactile integrated features of some textile types in long-term practice, and is considered as one of the most important factors affecting the wearability of the fabric. The hand affects consumer preference and its assessment of product availability and ultimately the sales of the retailer's clothing.
The existing research is mainly focused on the aspects of tissue structure, dyeing fastness, pattern, moisture absorption and ventilation performance and the like of the fabric, and influences of factors such as fabric temperature, skin cold and warm sensing capability and the like are ignored. How much range of temperature differences can lead to a difference in the instant warming and cooling sensation judgment when the same fabric at different temperatures contacts the skin? Whether the skin temperature of each person is different, and whether the difference in skin temperature causes the fabric to contact the cold and warm feeling judges that there is a difference? The existing research simply assumes that the skin temperature of a human body is constant, ignores the influence of a judging main body of the fabric contacting the cold and warm feeling, and cannot accurately reflect the actual situation.
Physical methods treat a person as a source of heat, generating heat inside their body, but must dissipate the heat at the same rate in order to maintain the heat-moisture balance. The physiological method is to study the reaction mechanism of human body to cold and heat, such as vasomotor, sweating, cold and tremor, from the heat regulation mechanism of human body. Psychological methods focus on studying human perception, but human perception cannot be measured and can only be inferred by observing the relevant response. The combined experience of smell, taste, touch and the like on the clothing worn comprises physiological comfort, psychological pleasure, self-realization of social culture and self-satisfaction.
Regarding the test evaluation of the fabric contact cold and warm feeling, at the present stage, although the fabric contact cold and warm feeling objective test methods have a plurality of specific application ranges, the single method cannot simulate the real indexes of human bodies, the test results of the methods are often different, confusion of cold and warm feeling characterization is caused, and the unified test means indexes are necessary for the cold and warm feeling characterization. Meanwhile, the evaluation of the cold and warm feeling of the fabric is always lack of a clear and objective evaluation mode, only a few test methods have established evaluation standards at present, and the method is not refined, and meanwhile, most test methods have not determined evaluation standards, and for the same fabric, different types of evaluation indexes lead to different characterization results.
Disclosure of Invention
In view of the above, the present invention proposes a method of generating a temperature tactile model for determining a temperature tactile sensation, comprising:
acquiring preset multiple weather conditions, determining setting data of each weather condition, and determining each environment setting parameter of the simulation environment based on the setting data of each weather condition;
Setting an analog environment based on each environment setting parameter, and performing temperature adjustment on two groups of multi-layer fabrics in the analog environment based on a fabric temperature adjustment platform to obtain a group of multi-layer fabric simulation data in a high temperature range and a group of multi-layer fabric simulation data in a low temperature range;
Measuring the temperature of each layer of fabric in the simulated environment through a temperature sensor under each environment setting parameter to obtain respective temperature data sets of two groups of multi-layer fabrics under each weather condition;
Under each environment setting parameter, determining the temperature of the simulated human skin in the simulated environment, and determining the temperature difference between the temperature of the simulated human skin and the temperature of each layer of fabric in the temperature data set of each of the two groups of multi-layer fabrics;
Determining the contact temperature touch feeling of the simulated human skin to each layer of fabric under each weather condition based on the temperature difference value and preset contact temperature touch feeling grading data, and generating the contact temperature touch feeling attribute of the simulated human skin to the fabric based on the contact temperature touch feeling of the simulated human skin to each layer of fabric; and
And training the temperature touch model by taking the temperature data sets of the two groups of multi-layer fabrics under various seasons and weather and the contact dimension touch attribute of the simulated human skin to the fabrics as input data of the temperature touch model, taking the contact temperature touch of the simulated human skin to each layer of fabrics as output data of the temperature touch model, and obtaining the temperature touch model for determining the temperature touch of the fabrics when the fabrics are contacted.
Alternatively, the high temperature range is 21-45℃and the low temperature range is 10-21 ℃.
Optionally, contacting the cool and warm touch comprises: cold, slightly cold, normal, slightly hot and hot.
Optionally, the method further comprises: and verifying the temperature touch model, and if the verification result does not meet the preset requirement, adjusting parameters of the temperature touch model until the verification result meets the preset requirement.
In yet another aspect, the present invention also provides a system for generating a temperature haptic model for determining a temperature haptic sensation, comprising:
The parameter acquisition module is used for acquiring preset multiple weather conditions, determining setting data of each weather condition, and determining each environment setting parameter of the simulation environment based on the setting data of each weather condition;
the data acquisition module is used for setting each environment setting parameter to the simulation environment, and carrying out temperature adjustment on two groups of multi-layer fabrics in the simulation environment based on the fabric temperature adjustment platform so as to obtain a group of multi-layer fabric simulation data in a high temperature range and a group of multi-layer fabric simulation data in a low temperature range;
The data set acquisition module is used for measuring the temperature of each layer of fabric in the simulation environment through a temperature sensor under each environment setting parameter so as to obtain the respective temperature data sets of the two groups of multi-layer fabrics under each weather condition;
the simulation module is used for determining the temperature of the simulated human skin in the simulation environment under each environment setting parameter, and determining the temperature difference value between the temperature of the simulated human skin and the temperature of each layer of fabric in the temperature data set of the two groups of multi-layer fabrics;
The attribute determining module is used for determining the contact temperature touch feeling of the simulated human skin to each layer of fabric under each weather condition based on the temperature difference value and preset contact temperature touch feeling grading data, and generating the contact temperature touch feeling attribute of the simulated human skin to the fabric based on the contact temperature touch feeling of the simulated human skin to each layer of fabric; and
The model generation module is used for taking the temperature data sets of the two groups of multi-layer fabrics under various seasons and weather and the contact dimension touch attribute of the simulated human skin to the fabrics as input data of a temperature touch model, taking the contact temperature touch of the simulated human skin to each layer of fabrics as output data of the temperature touch model, and training the temperature touch model to obtain the temperature touch model for determining the temperature touch of the fabrics when the fabrics are contacted.
Alternatively, the high temperature range is 21-45℃and the low temperature range is 10-21 ℃.
Optionally, contacting the cool and warm touch comprises: cold, slightly cold, normal, slightly hot and hot.
Optionally, the model generating module is further configured to: and verifying the temperature touch model, and if the verification result does not meet the preset requirement, adjusting parameters of the temperature touch model until the verification result meets the preset requirement.
In yet another aspect, the present invention also provides a computing device comprising: one or more processors;
a processor for executing one or more programs;
the method as described above is implemented when the one or more programs are executed by the one or more processors.
In yet another aspect, the present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed, implements a method as described above.
Compared with the prior art, the invention has the beneficial effects that:
The present invention provides a method of generating a temperature tactile model for determining a temperature tactile sensation, comprising: acquiring preset multiple weather conditions, determining setting data of each weather condition, and determining each environment setting parameter of the simulation environment based on the setting data of each weather condition; setting an analog environment based on each environment setting parameter, and performing temperature adjustment on two groups of multi-layer fabrics in the analog environment based on a fabric temperature adjustment platform to obtain a group of multi-layer fabric simulation data in a high temperature range and a group of multi-layer fabric simulation data in a low temperature range; measuring the temperature of each layer of fabric in the simulated environment through a temperature sensor under each environment setting parameter to obtain respective temperature data sets of two groups of multi-layer fabrics under each weather condition; under each environment setting parameter, determining the temperature of the simulated human skin in the simulated environment, and determining the temperature difference between the temperature of the simulated human skin and the temperature of each layer of fabric in the temperature data set of each of the two groups of multi-layer fabrics; determining the contact temperature touch feeling of the simulated human skin to each layer of fabric under each weather condition based on the temperature difference value and preset contact temperature touch feeling grading data, and generating the contact temperature touch feeling attribute of the simulated human skin to the fabric based on the contact temperature touch feeling of the simulated human skin to each layer of fabric; and training the temperature touch model by taking the temperature data sets of the two groups of multi-layer fabrics and the contact dimension touch attribute of the simulated human skin to the fabrics in various seasons as input data of a temperature touch model, taking the contact temperature touch of the simulated human skin to each layer of fabrics as output data of the temperature touch model, and obtaining the temperature touch model for determining the temperature touch of the fabrics when the fabrics are contacted. The invention can simulate the touch feeling of human skin to the fabric, thereby determining the touch feeling of the fabric relative to the human skin.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
Fig. 2 is a block diagram of the system of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the examples described herein, which are provided to fully and completely disclose the present invention and fully convey the scope of the invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, like elements/components are referred to by like reference numerals.
Unless otherwise indicated, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. In addition, it will be understood that terms defined in commonly used dictionaries should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Example 1:
the present invention proposes a method of generating a temperature tactile model for determining a temperature tactile sensation, as shown in fig. 1, comprising:
Step 1, acquiring preset multiple weather conditions, determining setting data of each weather condition, and determining each environment setting parameter of a simulation environment based on the setting data of each weather condition;
step 2, setting an analog environment based on each environment setting parameter, and performing temperature adjustment on two groups of multi-layer fabrics in the analog environment based on a fabric temperature adjustment platform so as to obtain a group of multi-layer fabric simulation data in a high temperature range and a group of multi-layer fabric simulation data in a low temperature range;
Step 3, under each environment setting parameter, measuring the temperature of each layer of fabric in the simulation environment through a temperature sensor so as to obtain respective temperature data sets of two groups of multi-layer fabrics under each weather condition;
Step 4, under each environment setting parameter, determining the temperature of the simulated human skin in the simulated environment, and determining the temperature difference value between the temperature of the simulated human skin and the temperature of each layer of fabric in the temperature data set of the two groups of multi-layer fabrics;
Step 5, determining the contact temperature touch feeling of the simulated human skin to each layer of fabric under each weather condition based on the temperature difference value and preset contact temperature touch feeling grading data, and generating the contact temperature touch feeling attribute of the simulated human skin to the fabric based on the contact temperature touch feeling of the simulated human skin to each layer of fabric; and
And 6, taking the temperature data sets of the two groups of multi-layer fabrics in various seasons and weather and the contact dimension touch attribute of the simulated human skin to the fabrics as input data of a temperature touch model, taking the contact temperature touch of the simulated human skin to each layer of fabrics as output data of the temperature touch model, and training the temperature touch model to obtain the temperature touch model for determining the temperature touch of the fabrics when the fabrics are contacted.
Wherein the high temperature range is 21-45 ℃, and the low temperature range is 10-21 ℃.
Wherein, contact changes in temperature sense of touch includes: cold, slightly cold, normal, slightly hot and hot.
Wherein the method further comprises: and verifying the temperature touch model, and if the verification result does not meet the preset requirement, adjusting parameters of the temperature touch model until the verification result meets the preset requirement.
Example 2:
The present invention also proposes a system 200 for generating a temperature feel model for determining a temperature feel, as shown in fig. 2, comprising:
An acquisition parameter module 201, configured to acquire a plurality of weather conditions set in advance, determine setting data of each weather condition, and determine each environment setting parameter of the simulation environment based on the setting data of each weather condition;
The data acquisition module 202 is used for setting each environment setting parameter to the simulation environment, and performing temperature adjustment on two groups of multi-layer fabrics in the simulation environment based on the fabric temperature adjustment platform to obtain a group of multi-layer fabric simulation data in a high temperature range and a group of multi-layer fabric simulation data in a low temperature range;
The data set acquisition module 203 is configured to measure, by using a temperature sensor, a temperature of each layer of fabric in the simulated environment under each environment setting parameter, so as to obtain respective temperature data sets of two groups of multi-layer fabrics under each weather condition;
The simulation module 204 is configured to determine, under each environment setting parameter, a temperature of simulated human skin in the simulated environment, and determine a temperature difference between the temperature of the simulated human skin and a temperature of each layer of fabric in the respective temperature data set of the two sets of multi-layer fabrics;
The determining attribute module 205 is configured to determine, based on the temperature difference and preset contact temperature touch classification data, a contact temperature touch of the simulated human skin to each layer of fabric under each weather condition, and generate a contact temperature touch attribute of the simulated human skin to the fabric based on the contact temperature touch of the simulated human skin to each layer of fabric; and
The model generating module 206 is configured to use the respective temperature data sets of the two groups of multi-layer fabrics in the weather of the seasons and the contact dimension touch attribute of the simulated human skin to the fabrics as input data of a temperature touch model, use the contact temperature touch of the simulated human skin to each layer of fabrics as output data of the temperature touch model, and train the temperature touch model to obtain the temperature touch model for determining the temperature touch when the fabrics are contacted.
Wherein the high temperature range is 21-45 ℃, and the low temperature range is 10-21 ℃.
Wherein, contact changes in temperature sense of touch includes: cold, slightly cold, normal, slightly hot and hot.
Wherein the model generation module 206 is further configured to: and verifying the temperature touch model, and if the verification result does not meet the preset requirement, adjusting parameters of the temperature touch model until the verification result meets the preset requirement.
The invention can simulate the touch feeling of human skin to the fabric, thereby determining the touch feeling of the fabric relative to the human skin.
Example 3:
Based on the same inventive concept, the invention also provides a computer device comprising a processor and a memory for storing a computer program comprising program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processor, digital signal processor (DIGITAL SIGNAL Processor, DSP), application specific integrated circuit (Application SpecificIntegrated Circuit, ASIC), off-the-shelf Programmable gate array (Field-Programmable GATEARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, in particular to load and execute one or more instructions within a computer storage medium to implement the corresponding method flow or corresponding functions to implement the steps of the method in the embodiments described above.
Example 4:
based on the same inventive concept, the present invention also provides a storage medium, in particular, a computer readable storage medium (Memory), which is a Memory device in a computer device, for storing programs and data. It is understood that the computer readable storage medium herein may include both built-in storage media in a computer device and extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the steps of the methods in the above-described embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the invention can be realized by adopting various computer languages, such as object-oriented programming language Java, an transliteration script language JavaScript and the like.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. A method of generating a temperature tactile model for determining a temperature tactile sensation, the method comprising:
acquiring preset multiple weather conditions, determining setting data of each weather condition, and determining each environment setting parameter of the simulation environment based on the setting data of each weather condition;
Setting an analog environment based on each environment setting parameter, and performing temperature adjustment on two groups of multi-layer fabrics in the analog environment based on a fabric temperature adjustment platform to obtain a group of multi-layer fabric simulation data in a high temperature range and a group of multi-layer fabric simulation data in a low temperature range;
Measuring the temperature of each layer of fabric in the simulated environment through a temperature sensor under each environment setting parameter to obtain respective temperature data sets of two groups of multi-layer fabrics under each weather condition;
Under each environment setting parameter, determining the temperature of the simulated human skin in the simulated environment, and determining the temperature difference between the temperature of the simulated human skin and the temperature of each layer of fabric in the temperature data set of each of the two groups of multi-layer fabrics;
Determining the contact temperature touch feeling of the simulated human skin to each layer of fabric under each weather condition based on the temperature difference value and preset contact temperature touch feeling grading data, and generating the contact temperature touch feeling attribute of the simulated human skin to the fabric based on the contact temperature touch feeling of the simulated human skin to each layer of fabric; and
And training the temperature touch model by taking the temperature data sets of each of the two groups of multi-layer fabrics under various weather conditions and the contact dimension touch attribute of the simulated human skin to the fabrics as input data of the temperature touch model, taking the contact temperature touch of the simulated human skin to each layer of fabrics as output data of the temperature touch model, and obtaining the temperature touch model for determining the temperature touch of the fabrics when the fabrics are contacted.
2. The method of claim 1, wherein the high temperature range is 21-45 ℃ and the low temperature range is 10-21 ℃.
3. The method of claim 1, wherein the contact temperature tactility comprises: cold, slightly cold, normal, slightly hot and hot.
4. The method according to claim 1, wherein the method further comprises: and verifying the temperature touch model, and if the verification result does not meet the preset requirement, adjusting parameters of the temperature touch model until the verification result meets the preset requirement.
5. A system for generating a temperature tactile model for determining a temperature tactile sensation, the system comprising:
The parameter acquisition module is used for acquiring preset multiple weather conditions, determining setting data of each weather condition, and determining each environment setting parameter of the simulation environment based on the setting data of each weather condition;
the data acquisition module is used for setting each environment setting parameter to the simulation environment, and carrying out temperature adjustment on two groups of multi-layer fabrics in the simulation environment based on the fabric temperature adjustment platform so as to obtain a group of multi-layer fabric simulation data in a high temperature range and a group of multi-layer fabric simulation data in a low temperature range;
The data set acquisition module is used for measuring the temperature of each layer of fabric in the simulation environment through a temperature sensor under each environment setting parameter so as to obtain the respective temperature data sets of the two groups of multi-layer fabrics under each weather condition;
the simulation module is used for determining the temperature of the simulated human skin in the simulation environment under each environment setting parameter, and determining the temperature difference value between the temperature of the simulated human skin and the temperature of each layer of fabric in the temperature data set of the two groups of multi-layer fabrics;
The attribute determining module is used for determining the contact temperature touch feeling of the simulated human skin to each layer of fabric under each weather condition based on the temperature difference value and preset contact temperature touch feeling grading data, and generating the contact temperature touch feeling attribute of the simulated human skin to the fabric based on the contact temperature touch feeling of the simulated human skin to each layer of fabric; and
The model generation module is used for taking the temperature data sets of the two groups of multi-layer fabrics under various weather conditions and the contact dimension touch attribute of the simulated human skin to the fabrics as input data of a temperature touch model, taking the contact temperature touch of the simulated human skin to each layer of fabrics as output data of the temperature touch model, and training the temperature touch model to obtain the temperature touch model for determining the temperature touch of the fabrics when the fabrics are contacted.
6. The system of claim 5, wherein the high temperature range is 21-45 ℃ and the low temperature range is 10-21 ℃.
7. The system of claim 5, wherein the contact temperature tactility comprises: cold, slightly cold, normal, slightly hot and hot.
8. The system of claim 5, wherein the model generation module is further configured to: and verifying the temperature touch model, and if the verification result does not meet the preset requirement, adjusting parameters of the temperature touch model until the verification result meets the preset requirement.
9. A computer device, comprising:
One or more processors;
a processor for executing one or more programs;
the method of any of claims 1-4 is implemented when the one or more programs are executed by the one or more processors.
10. A computer readable storage medium, characterized in that a computer program is stored thereon, which computer program, when executed, implements the method according to any of claims 1-4.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310514316.1A CN117131651B (en) | 2023-05-08 | 2023-05-08 | Method and system for generating temperature touch model for determining temperature touch |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310514316.1A CN117131651B (en) | 2023-05-08 | 2023-05-08 | Method and system for generating temperature touch model for determining temperature touch |
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| Publication Number | Publication Date |
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