Brain load real-time evaluation method and system based on wrist temperature change characteristics

Abstract

The invention belongs to the technical field of health monitoring, and particularly relates to a brain load real-time evaluation method and system based on wrist temperature change characteristics, and the method comprises the steps: obtaining the wrist skin temperature; analyzing the obtained temperature to obtain a temperature change characteristic; according to the obtained temperature change characteristics, brain work duration is considered, and a brain load real-time evaluation model is constructed; calculating a mental load score according to the constructed mental load real-time evaluation model; and judging the current mental load state based on the obtained mental load score, and completing mental load real-time evaluation based on the wrist temperature change characteristics.

Description

Technical Field

[0001] This invention belongs to the field of health monitoring technology, specifically relating to a method and system for real-time evaluation of mental workload based on wrist temperature change characteristics. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Mental workload refers to the degree of resource demand on information processing during cognitive tasks. It is a core assessment indicator for high-intensity cognitive scenarios such as modern office work, driving, and medical decision-making. Its cumulative effect not only significantly reduces work efficiency and increases the risk of decision-making errors, but may also induce safety hazards. Therefore, real-time and accurate monitoring of mental workload is of great significance.

[0004] However, existing mental workload monitoring technologies have a series of limitations; subjective assessment methods (such as the NASA-TLX questionnaire) require users to actively interrupt the task to provide feedback on workload perception, which has response lag and subjective bias, making it difficult to achieve real-time continuous monitoring of dynamic scenarios; objective physiological monitoring methods, such as electroencephalography (EEG), although sensitive to changes in workload, have highly invasive multi-lead electrode cap structures, and factors such as motion artifacts in non-laboratory environments lead to a significant decrease in the signal-to-noise ratio of the acquired data; while functional near-infrared spectroscopy (fNIRS) is difficult to widely apply due to low device temporal resolution, complex wearing process, and cost limitations.

[0005] Skin temperature, as a physiological indicator closely related to human metabolism and autonomic nervous activity, shows great potential in monitoring physiological states. When mental workload increases, sympathetic nerve activation triggers peripheral vasoconstriction, particularly in the capillaries of the extremities; this vasomotor action directly reflects changes in skin temperature. The wrist exhibits unique advantages: its dense vascular distribution makes it highly sensitive to blood flow changes induced by mental workload, resulting in a more stable temperature signal. Furthermore, the wrist is less affected by environmental interference under the natural shielding of watches and wristbands, making it highly compatible with everyday wearable devices and suitable for long-term monitoring. However, currently, there is a lack of technologies in the field for monitoring mental workload based on wrist skin temperature characteristics. Summary of the Invention

[0006] To address the aforementioned issues, this invention proposes a method and system for real-time evaluation of mental workload based on wrist temperature change characteristics. By continuously extracting wrist skin temperature data in real time, analyzing the change characteristics of the acquired data, and combining this with the duration of mental work, a mental workload evaluation model is constructed, thereby achieving real-time monitoring and evaluation of mental workload status based on wrist temperature change characteristics.

[0007] According to some embodiments, the first aspect of the present invention provides a method for real-time evaluation of mental workload based on wrist temperature change characteristics, employing the following technical solution: A real-time assessment method for mental workload based on wrist temperature change characteristics, comprising: Obtain wrist skin temperature; Analyze the acquired temperatures to obtain temperature change characteristics; Based on the obtained temperature change characteristics and considering the duration of mental work, a real-time evaluation model for mental workload is constructed. Mental workload score is calculated based on the constructed real-time mental workload evaluation model; Based on the obtained mental workload score, the current mental workload status is determined, and a real-time evaluation of mental workload based on wrist temperature change characteristics is completed.

[0008] As a further technical limitation, in the process of determining the current mental workload status, the relationship between the obtained mental workload score and the first threshold, the second threshold and the third threshold are compared to determine the current mental workload status monitoring result. The first threshold represents the critical threshold from a conscious state to a mild mental workload, the second threshold represents the critical threshold from a mild mental workload to a moderate mental workload, and the third threshold represents the critical threshold from a moderate mental workload to a severe mental workload.

[0009] Furthermore, when the obtained mental workload score is below the first threshold, the user is currently in a low mental workload state; when the obtained mental workload score is between the first threshold and the second threshold, the user is currently in a light mental workload state; when the obtained mental workload score is between the second threshold and the third threshold, the user is currently in a moderate mental workload state; and when the obtained mental workload score is above the third threshold, the user is currently in a heavy mental workload state.

[0010] Furthermore, it also includes a tiered visual interaction on the terminal, which displays the current mental workload monitoring results and mental workload scores in a tiered manner, provides tiered feedback on different mental workload levels on the terminal, and displays the user's current mental workload status in real time based on the monitoring results.

[0011] As a further technical limitation, the wrist baseline skin temperature is obtained, the wrist skin temperature sequence is continuously collected in real time, and the current wrist skin temperature change and the wrist skin temperature difference per minute at fixed intervals are calculated.

[0012] As a further technical limitation, the constructed real-time mental workload assessment model y for ;in, ΔT This represents the change in skin temperature at the wrist. vThe temperature difference of the wrist skin over minutes. t For the duration of mental work, k 0 is a constant. k 1. k 2. k 3 represents the correction values ​​for wrist skin temperature change, wrist skin temperature difference over minutes, and duration of mental work, respectively. p Changes in wrist skin temperature ΔT Temperature change index r The temperature difference of the wrist skin over minutes v The trend index q Duration of mental work t The time-cumulative index.

[0013] According to some embodiments, a second aspect of the present invention provides a real-time mental workload assessment system based on wrist temperature change characteristics, employing the following technical solution: A real-time mental workload assessment system based on wrist temperature change characteristics, comprising: The acquisition module is configured to acquire wrist skin temperature; The analysis module is configured to analyze the acquired temperature and obtain temperature change characteristics. The module is configured to build a real-time evaluation model of mental workload based on the obtained temperature change characteristics and considering the duration of mental work. The calculation module is configured to calculate mental workload scores based on the constructed real-time mental workload assessment model. The evaluation module is configured to determine the current mental workload status based on the obtained mental workload score and to complete the real-time evaluation of mental workload based on wrist temperature change characteristics.

[0014] According to some embodiments, a third aspect of the present invention provides a computer-readable storage medium, employing the following technical solution: A computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the real-time assessment method for mental workload based on wrist temperature change characteristics as described in the first aspect of the present invention.

[0015] According to some embodiments, the fourth aspect of the present invention provides an electronic device, which adopts the following technical solution: An electronic device includes a memory, a processor, and a program stored in the memory and running on the processor, wherein the processor executes the program to implement the steps in the real-time assessment method for mental workload based on wrist temperature change characteristics as described in the first aspect of the present invention.

[0016] According to some embodiments, the fifth aspect of the present invention provides a computer program product, which adopts the following technical solution: A computer program product includes software code, wherein the program in the software code performs the steps of the real-time evaluation method for mental workload based on wrist temperature change characteristics as described in the first aspect of the present invention.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention selects the wrist as the monitoring site and utilizes its dense blood vessels and sensitive response to changes in blood flow caused by mental exertion. It specifically extracts characteristic data related to the physiological mechanisms of mental exertion, such as wrist temperature changes and temperature differences over minutes. Combined with continuous working time, an assessment model is constructed, which overcomes the limitations of existing solutions that are inaccurate or even unreliable. It achieves accurate assessment of mental exertion status and improves the accuracy of monitoring.

[0018] This invention uses a flexible thin-film sensor integrated into the inside of a smartwatch strap to collect data. Taking advantage of the fact that the wrist is naturally shielded by devices such as watches and wristbands, it is less affected by ambient temperature and heat radiation interference, making the collected temperature signal more stable. It is also highly compatible with everyday wearable devices, and the data collection method is simple and portable. It can realize real-time monitoring and hierarchical feedback of mental workload, and is suitable for various continuous activity scenarios such as office work and driving, enhancing the practicality and scenario adaptability of the monitoring. Attached Figure Description

[0019] The accompanying drawings, which form part of this embodiment, are used to provide a further understanding of this embodiment. The illustrative embodiments and their descriptions are used to explain this embodiment and do not constitute an improper limitation of this embodiment.

[0020] Figure 1 This is a flowchart of the real-time evaluation method for mental workload based on wrist temperature change characteristics in Embodiment 1 of the present invention. Figure 2 This is a schematic diagram of the control logic of the real-time evaluation method for mental workload based on wrist temperature change characteristics in Embodiment 1 of the present invention. Figure 3 This is a schematic diagram of the hardware structure of the real-time evaluation method for mental workload based on wrist temperature change characteristics in Embodiment 1 of the present invention. Figure 4 This is a schematic diagram showing the location of the high-precision skin temperature sensor on the wrist in Embodiment 1 of the present invention; Figure 5 This is a structural block diagram of the real-time mental workload evaluation system based on wrist temperature change characteristics in Embodiment 2 of the present invention. Detailed Implementation

[0021] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0022] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0023] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0024] In this invention, terms such as "upper," "lower," "left," "right," "front," "back," "vertical," "horizontal," "side," and "bottom" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used only to facilitate the description of the structural relationships of the various components or elements of this invention and do not specifically refer to any component or element in this invention. They should not be construed as limiting the invention.

[0025] In this invention, terms such as "fixed connection," "connected," and "linked" should be interpreted broadly, indicating a fixed connection, an integral connection, or a detachable connection; a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can determine the specific meaning of these terms in this invention based on the specific circumstances, and they should not be construed as limitations on the invention.

[0026] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0027] Example 1 Embodiment 1 of this invention introduces a method for real-time evaluation of mental workload based on wrist temperature change characteristics.

[0028] like Figure 1 The method shown is a real-time assessment method for mental workload based on wrist temperature change characteristics, including: Obtain wrist skin temperature; Analyze the acquired temperatures to obtain temperature change characteristics; Based on the obtained temperature change characteristics and considering the duration of mental work, a real-time evaluation model for mental workload is constructed. Mental workload score is calculated based on the constructed real-time mental workload evaluation model; Based on the obtained mental workload score, the current mental workload status is determined, and a real-time evaluation of mental workload based on wrist temperature change characteristics is completed.

[0029] To address the problems in existing technologies, such as susceptibility to interference at the monitoring site and models not being adapted to the physiological characteristics of the wrist leading to insufficient assessment accuracy or even unreliability, this embodiment adopts the following... Figure 2 The method shown is a real-time assessment method for mental workload based on wrist temperature change characteristics, employing methods such as... Figure 3 The monitoring hardware shown significantly improves the accuracy and applicability of monitoring results across multiple scenarios by quantitatively extracting the dynamic characteristics of wrist skin temperature and modeling the blood flow change mechanism under autonomic nervous system regulation; specifically: (1) such as Figure 4 As shown, the target user wears a smartwatch with an integrated flexible thin-film high-precision sensor (the sensor is fitted to the radial artery area of ​​the wrist). A flexible thin-film high-precision temperature sensor (accuracy greater than or equal to 0.1℃) integrated inside the smartwatch strap is used, with its sampling surface in close contact with the skin of the radial artery area of ​​the wrist. Through the skin temperature data acquisition unit 101 inside the strap, after the user's initial wearing has stabilized, the wrist's baseline skin temperature T0 (in this embodiment, the baseline temperature stabilized after a user's wearing is T0 = 32.1℃) and real-time temperature T are collected. t During the monitoring process, wrist skin temperature sequences T1, T2, T3… T were continuously and in real time collected. t The adjacent sampling frequency is 10Hz, balancing the smartwatch's battery life with real-time temperature data acquisition. Additionally, ambient temperature is collected via an environmental temperature sensor on the outside of the watch band, with a required accuracy of 0.1℃.

[0030] (2) Rearrange T0 and T t The data is transmitted to the wrist temperature feature analysis unit 102 to calculate the wrist skin temperature change ΔT = |T t – T0| and calculate the wrist skin temperature difference over minutes using a sliding window. .

[0031] It should be noted that the formula for calculating the wrist skin temperature difference v over minutes in this embodiment is as follows: It is a sliding calculation design based on 6 consecutive sampling points (1 point every 10 seconds) within a 1-minute time window. From a time perspective, and These correspond to the temperature values ​​at the current time and one minute ago, respectively. The difference directly reflects the overall temperature fluctuation within one minute, avoiding the problem of insignificant features caused by excessively small differences between sampling points within 10 seconds (potentially affected by instantaneous noise). From the sliding mechanism perspective, the calculation window is updated every 10 seconds (excluding the earliest value). Incorporating the latest This design allows the v value to track the temperature change trend every minute in real time, while also amplifying the effective feature signal within a 1-minute period through "six-point difference," thus balancing time resolution and feature significance. This design ensures that each intermediate point ( to All of these will become "current points" or "comparison points" in subsequent calculations, and the dynamic process of temperature change will be fully reflected through the continuously updated v value sequence.

[0032] In this embodiment, during the user's continuous work process: 15 minutes: T t =31.0℃→ΔT=1.1℃; v = |31.0 - 31.2| = 0.2℃; 30 minutes: T t =30.1℃→ΔT=2.0℃; v = |30.1 - 30.2| = 0.1℃; 60 minutes: T t =28.5℃→ΔT=3.6℃; v = |28.5 - 28.7| = 0.2℃; 90 minutes: T t =27.8℃→ΔT=4.4℃; v = |27.8 - 27.9| = 0.1℃.

[0033] (3) Input the characteristic data ΔT, v, working time t, and ambient temperature into the mental workload calculation and assessment unit 103 and input them into the real-time mental workload calculation model, i.e. ; in, ΔT This represents the change in skin temperature at the wrist. v The temperature difference of the wrist skin over minutes. t For the duration of mental work, k 0 is a constant. k 1. k 2. k 3 represents the correction values ​​for wrist skin temperature change, wrist skin temperature difference over minutes, and duration of mental work, respectively. p Changes in wrist skin temperature ΔT Temperature change index r The temperature difference of the wrist skin over minutes v The trend index q Duration of mental work t The time-cumulative index.

[0034] It should be noted that the temperature change index p and the time accumulation index q are dynamic parameters, and the specific adjustment rules are as follows: (1) Temperature change index p varies with working time: When t < 0.5h: p = 1.0 (linear response); When t≥0.5h: p=0.8 (sublinear response); (2) The values ​​of the time accumulation exponent q as a function of ambient temperature are shown in Table 1, i.e. Table 1. Values ​​of the time cumulative exponent q

[0035] This example uses a thermally neutral environment with q=1.0. Other parameter values ​​are: k1=0.9, k2=1.4, k3=0.03, k0=0.4, and r=0.9. These parameters are derived from laboratory calibration of office workers aged 25-45. The calculated values ​​(accurate to two decimal places) are: 15 min (p=1.0): y1=0.9×(1.1) 1.0 +1.4×(0.2) 0.9 +0.03×(15) 1.0 +0.4 = 2.17; 30 min (p=0.8): y2=0.9×(2.0) 0.8 +1.4×(0.1) 0.9 +0.03×(30) 1.0 +0.4 = 3.04; 60 min (p=0.8): y3=0.9×(3.6) 0.8 +1.4×(0.2) 0.9 +0.03×(60) 1.0 +0.4 = 5.03; 90 min (p=0.8): y4=0.9×(4.4) 0.8 +1.4×(0.1) 0.9 +0.03×(90) 1.0 +0.4 = 6.22.

[0036] (4) The obtained mental load score y is compared with the preset thresholds ζ1, ζ2, and ζ3 to determine the status and obtain the monitoring results of the user's current mental load status; where ζ1 represents the critical threshold from the awake state to mild mental load, ζ2 marks the critical threshold from mild to moderate mental load, and ζ3 indicates the critical threshold of severe mental load.

[0037] If the value of y is lower than the first threshold ζ1 (i.e.) yWhen y < ζ1, the user is determined to be in a state of low mental workload. When the y value is between ζ1 and ζ2 (ζ 11 ≤ y When y < ζ2), the user is determined to be in a state of mild mental overload. When the y value is between ζ2 and ζ3 (ζ2 ≤ ζ3), the user is considered to be in a state of mild mental overload. y When y < ζ3, the user is determined to be in a state of moderate mental workload. When the y value exceeds ζ3 ( y≥ When ζ3), the user is determined to be in a state of heavy mental workload.

[0038] It should be noted that the parameters k0, k1, k2, k3, the exponents p, r, q, and the thresholds ζ1, ζ2, ζ3 were obtained through standardized cognitive experiments. The initial values ​​were derived from the fitting of wrist temperature feature datasets of mentally engaged people of different ages and genders in a simulated daily office environment.

[0039] In this embodiment, the y value is compared with preset thresholds ζ1, ζ2, and ζ3 (ζ1=2.5, ζ2=3.5, ζ3=5.5) to obtain: y1=2.17→y<ζ1→Low mental workload state (green basic color wheel + no vibration); y2=3.04 →ζ1≤y<ζ2→Mild mental workload (triggers bright yellow dynamic ring + single short tremor); y3=5.03→ζ2≤y<ζ3→Moderate mental workload (Amber Orange Pulse Loop + Continuous Short Vibrations); y4=6.22→y≥ζ3→Severe mental workload (red fixed ring + continuous vibration).

[0040] (5) After the judgment is completed, the mental load score y and the status result are transmitted to the smart watch display terminal (such as smart watch, bracelet or other type of user terminal APP) via Bluetooth through the status feedback unit 104, and the three-level visual interaction is realized by using dynamic color ring (green / yellow / orange / red) and vibration mode graded warning.

[0041] In this embodiment, the outer ring of the dial displays an adaptive color wheel: green ( y <ζ1), Yellow (ζ1≤ y <ζ2), orange (ζ2≤ y <ζ3), red ( y≥ ζ3), color ring width varies y The value is increased and then thickened; the specific mental workload status feedback pattern is shown in Table 2.

[0042] Table 2 Mental Load Status Feedback Pattern

[0043] The feedback mode in this embodiment allows users to individually turn off visual flashing, vibration, voice and other feedback modes while retaining the basic color wheel display; in addition, it provides a "cool tone / warm tone" color wheel scheme switch (such as the blue series wheel) to meet the needs of users with color vision disorders.

[0044] This embodiment can monitor and provide feedback on the user's mental workload in real time. Once it is detected that the mental workload is increasing (such as reaching severe mental workload), the intervention mechanism is immediately triggered through the smartwatch: dynamic color ring warning (yellow / orange flashing) and vibration feedback (continuous short vibration / continuous vibration) prompt the user to adjust the work rhythm, effectively blocking the process of mental workload accumulation and preventing the risk of operational errors.

[0045] Example 2 Embodiment 2 of the present invention introduces a real-time evaluation system for mental workload based on wrist temperature change characteristics.

[0046] like Figure 5 The illustrated real-time mental workload assessment system based on wrist temperature change characteristics includes: The acquisition module is configured to acquire wrist skin temperature; The analysis module is configured to analyze the acquired temperature and obtain temperature change characteristics. The module is configured to build a real-time evaluation model of mental workload based on the obtained temperature change characteristics and considering the duration of mental work. The calculation module is configured to calculate mental workload scores based on the constructed real-time mental workload assessment model. The evaluation module is configured to determine the current mental workload status based on the obtained mental workload score and to complete the real-time evaluation of mental workload based on wrist temperature change characteristics.

[0047] The detailed steps are the same as those provided in Example 1 for the real-time evaluation method of mental workload based on wrist temperature change characteristics, and will not be repeated here.

[0048] Example 3 Embodiment 3 of the present invention provides a computer-readable storage medium.

[0049] A computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps in the real-time assessment method for mental workload based on wrist temperature change characteristics as described in Embodiment 1 of the present invention.

[0050] The detailed steps are the same as those provided in Example 1 for the real-time evaluation method of mental workload based on wrist temperature change characteristics, and will not be repeated here.

[0051] Example 4 Embodiment 4 of the present invention provides an electronic device.

[0052] An electronic device includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements the steps in the real-time evaluation method for mental workload based on wrist temperature change characteristics as described in Embodiment 1 of the present invention.

[0053] The detailed steps are the same as those provided in Example 1 for the real-time evaluation method of mental workload based on wrist temperature change characteristics, and will not be repeated here.

[0054] Example 5 Embodiment 5 of the present invention provides a computer program product.

[0055] A computer program product includes software code, wherein the program in the software code performs the steps of the real-time evaluation method for mental workload based on wrist temperature change characteristics as described in Embodiment 1 of the present invention.

[0056] The detailed steps are the same as those provided in Example 1 for the real-time evaluation method of mental workload based on wrist temperature change characteristics, and will not be repeated here.

[0057] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention can be implemented using various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0058] This 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 block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can 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, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0059] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0060] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0061] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0062] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

[0063] The above description is merely a preferred embodiment of this practice and is not intended to limit the scope of this practice. Various modifications and variations can be made to this practice by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of this practice should be included within the protection scope of this practice.

Claims

1. A method for real-time evaluation of mental workload based on wrist temperature change characteristics, characterized in that, include: Obtain wrist skin temperature; Analyze the acquired temperatures to obtain temperature change characteristics; Based on the obtained temperature change characteristics and considering the duration of mental work, a real-time evaluation model for mental workload is constructed. Mental workload score is calculated based on the constructed real-time mental workload evaluation model; Based on the obtained mental workload score, the current mental workload status is determined, and a real-time evaluation of mental workload based on wrist temperature change characteristics is completed.

2. The method for real-time evaluation of mental workload based on wrist temperature change characteristics as described in claim 1, characterized in that, In the process of determining the current mental workload status, the relationship between the obtained mental workload score and the first threshold, the second threshold and the third threshold are compared to determine the current mental workload status monitoring result. The first threshold represents the critical threshold from a conscious state to a mild mental workload, the second threshold represents the critical threshold from a mild mental workload to a moderate mental workload, and the third threshold represents the critical threshold from a moderate mental workload to a severe mental workload.

3. The method for real-time evaluation of mental workload based on wrist temperature change characteristics as described in claim 2, characterized in that, When the obtained mental workload score is below the first threshold, the user is currently in a low mental workload state; when the obtained mental workload score is between the first threshold and the second threshold, the user is currently in a light mental workload state; when the obtained mental workload score is between the second threshold and the third threshold, the user is currently in a moderate mental workload state; when the obtained mental workload score is above the third threshold, the user is currently in a heavy mental workload state.

4. The method for real-time evaluation of mental workload based on wrist temperature change characteristics as described in claim 3, characterized in that, It also includes a tiered visual interaction on the terminal, which displays the current mental workload status monitoring results and mental workload scores in a tiered manner, provides tiered feedback on different mental workload levels on the terminal, and displays the user's current mental workload status in real time based on the monitoring results.

5. The method for real-time evaluation of mental workload based on wrist temperature change characteristics as described in claim 1, characterized in that, The system acquires a baseline wrist skin temperature, continuously collects wrist skin temperature sequences in real time, and calculates the current wrist skin temperature change and the minute-by-minute temperature difference at fixed intervals.

6. The method for real-time evaluation of mental workload based on wrist temperature change characteristics as described in claim 1, characterized in that, The constructed real-time assessment model of mental workload y for ;in, ΔT This represents the change in skin temperature at the wrist. v The temperature difference of the wrist skin over minutes. t For the duration of mental work, k 0 is a constant. k 1. k 2. k 3 represents the correction values ​​for wrist skin temperature change, wrist skin temperature difference over minutes, and duration of mental work, respectively. p Changes in wrist skin temperature ΔT Temperature change index r The temperature difference of the wrist skin over minutes v The trend index q Duration of mental work t The time-cumulative index.

7. A real-time assessment system for mental workload based on wrist temperature change characteristics, characterized in that, include: The acquisition module is configured to acquire wrist skin temperature; The analysis module is configured to analyze the acquired temperature and obtain temperature change characteristics. The module is configured to build a real-time evaluation model of mental workload based on the obtained temperature change characteristics and considering the duration of mental work. The calculation module is configured to calculate mental workload scores based on the constructed real-time mental workload assessment model. The evaluation module is configured to determine the current mental workload status based on the obtained mental workload score and to complete the real-time evaluation of mental workload based on wrist temperature change characteristics.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the real-time evaluation method for mental workload based on wrist temperature change characteristics as described in any one of claims 1-6.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the program, it implements the steps of the real-time evaluation method for mental workload based on wrist temperature change characteristics as described in any one of claims 1-6.

10. A computer program product, comprising software code, characterized in that, The program in the software code executes the steps of the real-time evaluation method for mental workload based on wrist temperature change characteristics as described in any one of claims 1-6.

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