Health data feedback method based on dynamic environment regulation system

Abstract

The present invention discloses a health data feedback method based on a dynamic environment adjustment system, and belongs to the technical field of electronic digital data processing. The present invention collects brightness data, and analyzes the comprehensive brightness of a target area according to a comprehensive brightness analysis strategy; collects eye data, and evaluates the visual fatigue of a collected object according to a visual fatigue evaluation strategy; obtains matching light brightness according to a light brightness matching strategy; obtains eye data again after adjusting the light according to the matching light brightness, evaluates the visual fatigue of the collected object according to the visual fatigue evaluation strategy, and determines whether the visual fatigue is relieved according to the visual fatigue of the collected object; the present invention combines the dynamic overall brightness with eye fatigue to derive a suitable light brightness to meet the lighting needs of the collected object, and whether eye fatigue is relieved by subsequent monitoring is conducive to timely adjusting the light brightness, thereby protecting the eye health of the collected object and improving the comfort of work or study.

Description

Technical Field

[0001] The present invention belongs to the technical field of electronic digital data processing, and in particular relates to a health data feedback method based on a dynamic environment adjustment system. Background Art

[0002] Visual fatigue, or eye strain, is a common eye disease. The dry eyes, sore eyes, sore eyes, blurred vision and even decreased vision caused by it directly affect people's work and life. Eye fatigue is mainly caused by people's reduced blinking when they concentrate on watching the screens of electronic products such as television, computers or mobile phones, resulting in a corresponding decrease in tear secretion. At the same time, the flashing screen strongly stimulates the eyes. Eye fatigue can also trigger and aggravate various eye diseases. Environmental factors can also cause eye fatigue. Insufficient lighting in the workplace or study can cause eye tension and excessive use of accommodation.

[0003] The existing technology for adjusting light brightness mostly determines the eye fatigue situation through eye data characteristics, and automatically adjusts the light brightness according to the eye fatigue situation. It is unable to combine the comprehensive brightness with the eye fatigue situation to obtain the appropriate light brightness, resulting in inaccurate light brightness adjustment, and thus unable to accurately relieve individual eye fatigue.

[0004] For example, a Chinese patent with application publication number CN107992192A discloses a method for relieving eye fatigue and a virtual reality display device. The invention is used to automatically adjust the brightness of the background light, and improve the problem of eye fatigue that is easy to occur when the user's eyes are in a darker viewing environment. The signal collector collects the electromyographic signal generated by the user's eye movement within a preset time period; the user's eye feature data is determined from the electromyographic signal; the eye feature data is used to determine the eye fatigue state; and the brightness of the background light is adjusted according to the eye feature data. The eye feature data determined by the embodiment of the invention reflects the user's eye movement and eye fatigue state. In this way, the brightness of the background light can be automatically and accurately adjusted, and the problem of eye fatigue that is easy to occur when the user's eyes are in a darker viewing environment can be improved.

[0005] The above patent has the problem raised by this background technology: it is unable to combine the comprehensive brightness with the eye fatigue situation to obtain the appropriate light brightness, resulting in the light brightness adjustment is not accurate enough, and thus unable to accurately relieve the individual's eye fatigue.

[0006] In order to solve the above problems, the present invention proposes a health data feedback method based on a dynamic environment adjustment system. Summary of the invention

[0007] In view of the deficiencies in the prior art, the present invention proposes a health data feedback method based on a dynamic environment adjustment system, the present invention collects brightness data, analyzes the comprehensive brightness of the target area according to a comprehensive brightness analysis strategy; collects eye data, evaluates the visual fatigue of the collected object according to a visual fatigue assessment strategy; obtains the matching light brightness according to a light brightness matching strategy; adjusts the light according to the matching light brightness and then obtains eye data again, evaluates the visual fatigue of the collected object according to the visual fatigue assessment strategy, and determines whether the visual fatigue is relieved according to the visual fatigue of the collected object; the present invention combines the dynamic overall brightness with eye fatigue to derive an appropriate light brightness to meet the lighting needs of the collected object, and whether eye fatigue is relieved through subsequent monitoring is conducive to timely adjusting the light brightness, thereby protecting the eye health of the collected object and improving the comfort of work or study.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] The health data feedback method based on the dynamic environment regulation system includes the following specific steps:

[0010] S1. Collect brightness data and analyze the comprehensive brightness of the target area according to the comprehensive brightness analysis strategy;

[0011] S2, collecting eye data, and evaluating the visual fatigue of the subject according to the visual fatigue evaluation strategy;

[0012] S3, obtaining comprehensive brightness conditions and visual fatigue conditions, and obtaining matching light brightness according to a light brightness matching strategy;

[0013] S4. After adjusting the light according to the matching light brightness, the eye data is acquired again, the visual fatigue condition of the collected object is evaluated according to the visual fatigue evaluation strategy, and whether the visual fatigue condition is alleviated is determined according to the visual fatigue condition of the collected object.

[0014] Specifically, S1 includes the following specific steps:

[0015] S11, collecting outdoor brightness values, and storing the outdoor brightness values ​​in a brightness data storage module;

[0016] S12, collecting the brightness value of the desk mark point, and storing the brightness value of the mark point in the brightness data storage module;

[0017] S13, input the collected outdoor brightness value and the mark point brightness value into the comprehensive brightness value calculation formula to calculate the comprehensive brightness value of the target area, and the comprehensive brightness value calculation formula is: ,in, is the collected outdoor brightness value, is the brightness value of the nth marker point collected, is the total number of marking points, is the coefficient of the brightness value of the marking point.

[0018] Specifically, S2 includes the following specific steps:

[0019] S21, collecting eye pictures, and importing the eye pictures into an eye opening degree calculation formula to calculate the eye opening degree of the collected object, wherein the eye opening degree calculation formula is: ,in, is the coordinate of the upper left intersection of the eyeball and the eyelid, is the coordinate of the upper right intersection of the eyeball and the eyelid, is the coordinate of the inner corner of the eye, is the coordinate of the lower right intersection of the eyeball and the eyelid, is the coordinate of the lower left intersection of the eyeball and the eyelid, The coordinates of the outer corners of the eyes are stored in the eye data storage module. is the distance between the coordinates;

[0020] S22, collecting pupil diameter, and storing the pupil diameter in an eye data storage module;

[0021] S23, input the eye opening degree and pupil diameter into a visual fatigue degree calculation formula to calculate the visual fatigue degree of the evaluation collection object, the visual fatigue degree calculation formula is: ,in, is the starting time of the i-th blink, is the end time of the i-1th blink, is the total number of blinks collected, is the standard time interval between two blinks, is the eye opening degree at the uth second, is the total time of eye data collection, in seconds, is the indicator function, when When , the value is 1, otherwise the value is 0. is an exponential function with base e, is the pupil diameter collected for the jth time, is the total number of times the pupil diameter is collected, is the standard pupil diameter, when hour, The value is 0. is the blinking influence ratio, is the pupil influence ratio, and are all positive and sum to 1.

[0022] Specifically, S3 includes the following specific steps:

[0023] The comprehensive brightness value and visual fatigue are input into the light brightness value calculation formula to calculate the matching light brightness value. The light brightness value calculation formula is: ,in, is the preset initial brightness value of the light. is the standard comprehensive brightness value at time t, is the comprehensive brightness ratio, is the visual fatigue ratio, and are all positive and sum to 1.

[0024] Specifically, S4 includes the following specific steps:

[0025] S41, adjusting the light according to the matched light brightness value, obtaining the eye opening degree and pupil diameter again, and inputting them into the visual fatigue calculation formula to calculate the visual fatigue of the collected object;

[0026] S42, comparing the visual fatigue degree of the collected object with a preset visual fatigue threshold. If the visual fatigue degree is less than or equal to the preset visual fatigue threshold, it is determined that the visual fatigue is relieved; if the visual fatigue degree is greater than the preset visual fatigue threshold, it is determined that the visual fatigue is not relieved, and S3 operation is performed again.

[0027] A health data feedback system based on a dynamic environment adjustment system, which is used to implement a health data feedback method based on a dynamic environment adjustment system, including a data acquisition module, a picture acquisition module, a data storage module, a comprehensive brightness analysis module, a visual fatigue assessment module, a light brightness matching module, a comparison judgment module and a control module;

[0028] Specifically, the data acquisition module is used to collect brightness data and eye data;

[0029] The image acquisition module is used to acquire eye images and perform preprocessing;

[0030] The data storage module is used to store the collected brightness data, eye data and pre-processed eye pictures;

[0031] The comprehensive brightness analysis module is used to input the brightness data into the comprehensive brightness analysis strategy to analyze the comprehensive brightness of the target area;

[0032] The visual fatigue assessment module is used to input eye data into the visual fatigue assessment strategy to assess the visual fatigue of the collected object;

[0033] The light brightness matching module is used to input the comprehensive brightness condition and the visual fatigue condition into the light brightness matching strategy to obtain the matching light brightness;

[0034] The comparison and judgment module is used to obtain eye data again after adjusting the light according to the matched light brightness, evaluate the visual fatigue of the collected object according to the visual fatigue evaluation strategy, and judge whether the visual fatigue is relieved according to the visual fatigue of the collected object;

[0035] Specifically, the control module is used to control the operation of the data acquisition module, the image acquisition module, the data storage module, the comprehensive brightness analysis module, the visual fatigue assessment module, the light brightness matching module and the comparison and judgment module.

[0036] An electronic device includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the above-mentioned health data feedback method based on the dynamic environment adjustment system by calling the computer program stored in the memory.

[0037] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned health data feedback method based on a dynamic environment adjustment system.

[0038] Compared with the prior art, the beneficial effects of the present invention are: the present invention collects brightness data, and analyzes the comprehensive brightness of the target area according to the comprehensive brightness analysis strategy; collects eye data, and evaluates the visual fatigue of the collected object according to the visual fatigue evaluation strategy; obtains the matching light brightness according to the light brightness matching strategy; adjusts the light according to the matching light brightness and then obtains eye data again, evaluates the visual fatigue of the collected object according to the visual fatigue evaluation strategy, and determines whether the visual fatigue is relieved according to the visual fatigue of the collected object; the present invention combines the dynamic overall brightness with eye fatigue to derive appropriate light brightness to meet the lighting needs of the collected object, and whether eye fatigue is relieved through subsequent monitoring is conducive to timely adjusting the light brightness, thereby protecting the eye health of the collected object and improving the comfort of work or study. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 This is a flow chart of a health data feedback method based on a dynamic environment adjustment system of the present invention;

[0041] Figure 2 A schematic diagram of selecting marking points in step S12 of the health data feedback method based on the dynamic environment adjustment system of the present invention;

[0042] Figure 3 Schematic diagram of eye coordinates in step S21 of the health data feedback method based on the dynamic environment adjustment system of the present invention;

[0043] Figure 4 It is a schematic diagram of the overall framework of the health data feedback system based on the dynamic environment adjustment system of the present invention. DETAILED DESCRIPTION

[0044] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present invention will be more comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0045] See also Figure 1 The present invention provides an embodiment: a health data feedback method based on a dynamic environment adjustment system, which includes the following specific steps:

[0046] S1. Collect brightness data and analyze the comprehensive brightness of the target area according to the comprehensive brightness analysis strategy;

[0047] In this embodiment, S1 includes the following specific steps:

[0048] S11, collecting outdoor brightness values, and storing the outdoor brightness values ​​in a brightness data storage module;

[0049] It should be noted that in this embodiment, the brightness value is collected by a brightness sensor, and the steps for collecting the outdoor brightness value are:

[0050] Mark a fixed point on the window near the desk, and use the brightness of this point to represent the brightness of the outdoor environment. This point is usually the center of the window or the center of the window part facing the desk. Make sure that the selected point is not blocked by window frames, tree shades, buildings, etc. Select a brightness sensor (such as a photoresistor or phototransistor), and use a microcontroller (such as Arduino) to read the sensor data (if remote monitoring is required, a wireless communication module can be used). Use a bracket or tape to install the brightness sensor at a fixed point on the window with the photosensitive side facing the outdoors. Connect the sensor to the analog input or digital input pin of the microcontroller, set a timer to read the sensor data regularly, and convert the analog value read by the sensor into a brightness value (Lux).

[0051] S12, collecting the brightness value of the desk mark point, and storing the brightness value of the mark point in the brightness data storage module;

[0052] It should be noted that the steps for collecting the brightness value of the marking point are as follows:

[0053] Select evenly spaced marking points in the main areas of the desk used for study or work (see Figure 2 ), divide the desk into grids using the main area, and use each intersection as a marking point. Select a brightness sensor (such as a photoresistor or a photodiode), fix the brightness sensor on the microcontroller, use a connecting wire to connect the output pin of the sensor to the input pin of the microcontroller, turn on the microcontroller, run the program, read the brightness value and record the corresponding marking point position;

[0054] S13, input the collected outdoor brightness value and the mark point brightness value into the comprehensive brightness value calculation formula to calculate the comprehensive brightness value of the target area, and the comprehensive brightness value calculation formula is: ,in, is the collected outdoor brightness value, is the brightness value of the nth marker point collected, is the total number of marking points, is the coefficient of the brightness value of the marking point.

[0055] S2, collecting eye data, and evaluating the visual fatigue of the subject according to the visual fatigue evaluation strategy;

[0056] In this embodiment, S2 includes the following specific steps:

[0057] S21, collecting eye pictures, and importing the eye pictures into the eye opening degree calculation formula to calculate the eye opening degree of the collected object. The eye opening degree calculation formula is: ,in, is the coordinate of the upper left intersection of the eyeball and the eyelid, is the coordinate of the upper right intersection of the eyeball and the eyelid, is the coordinate of the inner corner of the eye, is the coordinate of the lower right intersection of the eyeball and the eyelid, is the coordinate of the lower left intersection of the eyeball and the eyelid, The coordinates of the outer corners of the eyes are stored in the eye data storage module. is the distance between the coordinates;

[0058] S22, collecting pupil diameter, and storing the pupil diameter in an eye data storage module;

[0059] It should be noted that the eye opening degree (EAR) is calculated by calculating the ratio of the vertical distance between the intersection of the upper and lower eyelids and the eyeball to the horizontal distance between the left and right eye corners (see Figure 3 ), the steps of constructing the eye coordinate system are: and Connection line is the horizontal axis, and Connection line is the vertical axis, and The intersection of is taken as the origin of coordinates to construct the eye coordinate system;

[0060] The steps of collecting eye data are: installing a high-resolution camera, adjusting the angle and height of the camera, aiming the camera at the eyes of the object to be collected so as to clearly capture the eye details, starting the recording function of the camera to collect video data, dividing the recorded video into frames, each frame representing an image at a time point; preprocessing each frame of the image, including graying, denoising, contrast enhancement, etc.; judging whether blinking occurs by detecting the opening and closing state of the eyes, and counting the number of blinks detected during the recording time. Under normal circumstances, the blinking frequency of a person is about 15-20 times per minute. For the convenience of calculation, this embodiment sets the standard blinking frequency to 15 times per minute, E A higher AR value indicates that the eyes are in an open state. When a person feels tired, the blinking frequency will decrease. In a relaxed state, the blinking interval of a person is usually between 2 and 10 seconds. For the convenience of calculation, this embodiment sets the standard time interval between two blinks to 4 seconds; a lower EAR value indicates that the eyes are in a semi-closed or closed state more often. When the EAR value suddenly drops from above the threshold to below the threshold, it indicates the start of blinking. When the EAR value suddenly rises from below the threshold to above the threshold, it indicates the end of blinking. Usually, the EAR threshold is set between 0.2 and 0.3. For the convenience of calculation, this embodiment sets the EAR threshold to 0.21;

[0061] As fatigue increases, the pupil diameter will increase. The trend of pupil diameter changes over time is analyzed to help determine the degree of eye fatigue. Algorithms (such as Hough transform, template matching, etc.) are used to automatically detect the pupil edge and calculate the pupil diameter. The steps for obtaining the pupil diameter are as follows: using image processing software to open the collected image, using the Hough transform algorithm to detect the circle in the image (Hough transform is a commonly used method for detecting straight lines and circles in an image. Before working, the parameters of the Hough transform, such as the threshold, minimum radius, and maximum radius, are adjusted in advance to ensure that the pupil can be accurately detected). The circle that is most likely to be the pupil is selected based on the position and size of the pupil, and the center coordinates and radius of the pupil are extracted from the selected circles. The pupil diameter and acquisition time in each picture are recorded. The pupil diameter of a normal adult is approximately 2.5 to 4 mm in a resting state. In order to facilitate calculation, the standard pupil diameter is set to 3 mm in this embodiment.

[0062] S23, input the eye opening degree and pupil diameter into the visual fatigue calculation formula to calculate the visual fatigue of the evaluation collection object, and the visual fatigue calculation formula is: ,in, is the starting time of the i-th blink, is the end time of the i-1th blink, is the total number of blinks collected, is the standard time interval between two blinks, is the eye opening degree at the uth second, is the total time of eye data collection, in seconds, is the indicator function, when When , the value is 1, otherwise the value is 0. is an exponential function with base e, is the pupil diameter collected for the jth time, is the total number of times the pupil diameter is collected, is the standard pupil diameter, when hour, The value is 0. is the blinking influence ratio, is the pupil influence ratio, and are all positive and sum to 1.

[0063] S3, obtaining comprehensive brightness conditions and visual fatigue conditions, and obtaining matching light brightness according to a light brightness matching strategy;

[0064] In this embodiment, S3 includes the following specific steps:

[0065] Input the comprehensive brightness value and visual fatigue into the light brightness value calculation formula to calculate the matching light brightness value. The light brightness value calculation formula is: ,in, is the preset initial brightness value of the light. is the standard comprehensive brightness value at time t, is the comprehensive brightness ratio, is the visual fatigue ratio, and are all positive and sum to 1.

[0066] It should be noted that for general reading and work activities, the initial brightness value is usually set between 300 and 500 lux. For study rooms that require more detailed visual tasks, such as reading small fonts or doing fine work, the initial brightness needs to be set between 500 and 750 lux. For the convenience of calculation, the initial light brightness value is set to 500 lux in this embodiment.

[0067] The standard comprehensive brightness value at time t is obtained by collecting historical data and taking the average value;

[0068] S4. After adjusting the light according to the matching light brightness, the eye data is acquired again, the visual fatigue condition of the collected object is evaluated according to the visual fatigue evaluation strategy, and whether the visual fatigue condition is alleviated is determined according to the visual fatigue condition of the collected object.

[0069] In this embodiment, S4 includes the following specific steps:

[0070] S41, adjusting the light according to the matched light brightness value, obtaining the eye opening degree and pupil diameter again, and inputting them into the visual fatigue calculation formula to calculate the visual fatigue of the collected object;

[0071] S42, comparing the visual fatigue degree of the collected object with a preset visual fatigue threshold. If the visual fatigue degree is less than or equal to the preset visual fatigue threshold, it is determined that the visual fatigue is relieved; if the visual fatigue degree is greater than the preset visual fatigue threshold, it is determined that the visual fatigue is not relieved, and S3 operation is performed again.

[0072] It should be noted that the brightness value ratio of the marking point , Blinking influence ratio , pupil influence ratio , Comprehensive brightness ratio , Visual fatigue ratio The steps for obtaining the preset visual fatigue threshold are as follows: select 50 different study rooms, collect outdoor brightness and mark point brightness, input the comprehensive brightness value calculation formula to calculate the comprehensive brightness value of the target area, collect blink data and pupil diameter, input the visual fatigue calculation formula to calculate the visual fatigue of the collected object, input the comprehensive brightness value and visual fatigue into the light brightness value calculation formula to calculate the matching light brightness value, adjust the light brightness, collect blink data and pupil diameter again to calculate visual fatigue, and compare with the preset visual fatigue threshold, screen out visual fatigue below the preset visual fatigue threshold, invite 10 experts in related fields to analyze the appropriate light brightness value according to the environment and the eye state of the collected object, input the light brightness value analyzed by the experts and the screened light brightness value into the fitting software to output a set of mark point brightness value proportion coefficients with the highest matching degree , Blinking influence ratio , pupil influence ratio , Comprehensive brightness ratio , Visual fatigue ratio and preset visual fatigue threshold.

[0073] See also Figure 4, a health data feedback system based on a dynamic environment adjustment system, used to implement a health data feedback method based on a dynamic environment adjustment system, including a data acquisition module, a picture acquisition module, a data storage module, a comprehensive brightness analysis module, a visual fatigue assessment module, a light brightness matching module, a comparison judgment module and a control module;

[0074] In this embodiment, the data acquisition module is used to collect brightness data and eye data;

[0075] The image acquisition module is used to collect eye images and perform preprocessing;

[0076] The data storage module is used to store the collected brightness data, eye data and pre-processed eye images;

[0077] The comprehensive brightness analysis module is used to input the brightness data into the comprehensive brightness analysis strategy to analyze the comprehensive brightness of the target area;

[0078] The visual fatigue assessment module is used to input eye data into the visual fatigue assessment strategy to assess the visual fatigue of the collected object;

[0079] The light brightness matching module is used to input the comprehensive brightness condition and visual fatigue condition into the light brightness matching strategy to obtain the matching light brightness;

[0080] The comparison and judgment module is used to obtain eye data again after adjusting the light according to the matching light brightness, evaluate the visual fatigue of the collected object according to the visual fatigue evaluation strategy, and judge whether the visual fatigue is alleviated according to the visual fatigue of the collected object;

[0081] The control module is used to control the operation of the data acquisition module, the image acquisition module, the data storage module, the comprehensive brightness analysis module, the visual fatigue assessment module, the light brightness matching module and the comparison judgment module.

[0082] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes the above-mentioned health data feedback method based on the dynamic environment adjustment system by calling the computer program stored in the memory.

[0083] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the health data feedback method based on the dynamic environment adjustment system provided by the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0084] This embodiment provides a computer-readable storage medium storing instructions, which, when a computer program is executed on a computer device, enables the computer device to execute the above-mentioned health data feedback method based on a dynamic environment adjustment system.

[0085] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

[0086] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function according to the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired network or / and a wireless network. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.

[0087] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0088] In the description of this specification, the descriptions with reference to the terms "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example, and the specific features, structures, materials or characteristics described may be combined in an appropriate manner in any one or more embodiments or examples.

Claims

1. A health data feedback method based on a dynamic environment adjustment system, characterized in that: The specific steps include: S1. Collect brightness data and analyze the comprehensive brightness of the target area according to the comprehensive brightness analysis strategy; S2, collecting eye data, and evaluating the visual fatigue of the subject according to the visual fatigue evaluation strategy; S3, obtaining comprehensive brightness conditions and visual fatigue conditions, and obtaining matching light brightness according to a light brightness matching strategy; S4, adjusting the light according to the matched light brightness and acquiring eye data again, evaluating the visual fatigue of the collected object according to the visual fatigue evaluation strategy, and judging whether the visual fatigue is relieved according to the visual fatigue of the collected object; The S1 comprises the following specific steps: S11, collecting outdoor brightness values, and storing the outdoor brightness values ​​in a brightness data storage module; S12, collecting the brightness value of the desk mark point, and storing the brightness value of the mark point in the brightness data storage module; S13, input the collected outdoor brightness value and the mark point brightness value into the comprehensive brightness value calculation formula to calculate the comprehensive brightness value of the target area, and the comprehensive brightness value calculation formula is: ,in, is the collected outdoor brightness value, is the brightness value of the nth marker point collected, is the total number of marking points, is the proportion coefficient of the brightness value of the marking point; The S2 comprises the following specific steps: S21, collecting eye pictures, and importing the eye pictures into an eye opening degree calculation formula to calculate the eye opening degree of the collected object, wherein the eye opening degree calculation formula is: ,in, is the coordinate of the upper left intersection of the eyeball and the eyelid, is the coordinate of the upper right intersection of the eyeball and the eyelid, is the coordinate of the inner corner of the eye, is the coordinate of the lower right intersection of the eyeball and the eyelid, is the coordinate of the lower left intersection of the eyeball and the eyelid, The coordinates of the outer corners of the eyes are stored in the eye data storage module. is the distance between the coordinates; S22, collecting pupil diameter, and storing the pupil diameter in an eye data storage module; S23, input the eye opening degree and pupil diameter into a visual fatigue degree calculation formula to calculate the visual fatigue degree of the evaluation collection object, the visual fatigue degree calculation formula is: ,in, is the starting time of the i-th blink, is the end time of the i-1th blink, is the total number of blinks collected, is the standard time interval between two blinks, is the eye opening degree at the uth second, is the total time of eye data collection, in seconds, is the indicator function, when When , the value is 1, otherwise the value is 0. is an exponential function with base e, is the pupil diameter collected for the jth time, is the total number of times the pupil diameter is collected, is the standard pupil diameter, when hour, The value is 0. is the blinking influence ratio, is the pupil influence ratio, and are all positive and sum to 1; The S3 includes the following specific steps: The comprehensive brightness value and visual fatigue are input into the light brightness value calculation formula to calculate the matching light brightness value. The light brightness value calculation formula is: ,in, is the preset initial brightness value of the light. is the standard comprehensive brightness value at time t, is the comprehensive brightness ratio, is the visual fatigue ratio, and are all positive and sum to 1.

2. The health data feedback method based on the dynamic environment adjustment system according to claim 1, characterized in that: The S4 comprises the following specific steps: S41, adjusting the light according to the matched light brightness value, obtaining the eye opening degree and pupil diameter again, and inputting them into the visual fatigue calculation formula to calculate the visual fatigue of the collected object; S42, comparing the visual fatigue degree of the collected object with a preset visual fatigue threshold, and if the visual fatigue degree is less than or equal to the preset visual fatigue threshold, it is determined that the visual fatigue is relieved; If the visual fatigue degree is greater than the preset visual fatigue threshold, it is determined that the visual fatigue has not been alleviated, and the S3 operation is performed again.

3. A health data feedback system based on a dynamic environment adjustment system, used to implement the health data feedback method based on a dynamic environment adjustment system as claimed in any one of claims 1 to 2, characterized in that: It includes a data acquisition module, a picture acquisition module, a data storage module, a comprehensive brightness analysis module, a visual fatigue assessment module, a light brightness matching module, a comparison judgment module and a control module, wherein the data acquisition module is used to collect brightness data and eye data; The image acquisition module is used to acquire eye images and perform preprocessing; the data storage module is used to store acquired brightness data, eye data and preprocessed eye images; the comprehensive brightness analysis module is used to input brightness data into a comprehensive brightness analysis strategy to analyze the comprehensive brightness of the target area; the visual fatigue assessment module is used to input eye data into a visual fatigue assessment strategy to assess the visual fatigue of the acquired object.

4. The health data feedback system based on the dynamic environment adjustment system as claimed in claim 3, characterized in that: The light brightness matching module is used to input the comprehensive brightness conditions and visual fatigue conditions into the light brightness matching strategy to obtain the matching light brightness; the contrast judgment module is used to adjust the light according to the matching light brightness and obtain eye data again, evaluate the visual fatigue conditions of the collected object according to the visual fatigue evaluation strategy, and judge whether the visual fatigue conditions are alleviated according to the visual fatigue conditions of the collected object; the control module is used to control the operation of the data acquisition module, the image acquisition module, the data storage module, the comprehensive brightness analysis module, the visual fatigue evaluation module, the light brightness matching module and the contrast judgment module.

5. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program that can be called by the processor, and the processor executes the health data feedback method based on the dynamic environment adjustment system according to any one of claims 1-2 by calling the computer program stored in the memory.

6. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes the health data feedback method based on a dynamic environment adjustment system as described in any one of claims 1-2.

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