An education tablet system with management and control functions

Abstract

The application relates to the field of education tablets, in particular to an education tablet system with a control function, which is characterized in that a binocular detection module, a motion analysis module, a switching analysis module, a feature analysis module and a control module are arranged, image data of a detection target are acquired, a gaze motion feature is analyzed, a current gaze motion category of the detection target is divided, under a strong gaze motion category, whether a visual stimulation standard is met is judged according to the difference between visual image features in a current browsing page and a pre-switching browsing page, the pre-switching browsing page is optimized, a visual influence parameter is calculated based on pupil change features in a visual excited time domain segment, a control prompt is sent, the gaze motion feature of the detection target can be acquired, a situation of causing stimulation to vision in a page switching process can be found in time and intervention can be made in time, a control prompt can be sent in time, stimulation and influence on vision are reduced, and the use experience of a user is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of educational tablets, in particular to an educational tablet system with control function. BACKGROUND

[0002] With the advancement of education informatization and digital transformation, the function and experience of educational tablets are continuously upgraded, and the number of users is also increasing. In particular in the field of children's education, educational tablets are widely used. However, during the use of educational tablets, the user's addiction and vision damage need to be considered, and certain control functions need to be set.

[0003] Chinese patent publication No. CN117555509A discloses a screen adjustment method, system, device and medium for an educational tablet computer. The system extracts characteristic points of eye images to extract eye feature point coordinates. Then the system obtains camera distortion parameters, corrects the eye feature point coordinates, and then calculates the target actual distance. The system measures the brightness value of the current environment through the light sensor of the tablet computer. The system calculates the required blue light filtering intensity according to the calculated current environment brightness value and target actual distance. The system automatically adjusts the display parameters such as brightness, contrast and color temperature of the tablet computer screen according to the blue light filtering intensity. By correcting the eye feature point coordinates, more accurate eye feature point coordinates are obtained. The target actual distance is obtained, the distance measurement error caused by camera distortion is reduced, and the blue light adjustment based on the distance from the eyes to the screen is more accurate. The accuracy of screen blue light adjustment is improved, and the vision is protected.

[0004] However, the prior art still has the following problems,

[0005] In the prior art, when the user is paying close attention to the screen, the human eye will adapt to the image characteristics of the current page due to the adaptation mechanism of the human eye. However, when the page is switched, if the image parameters between the switched pages differ greatly, it may cause visual stimulation and affect the vision. SUMMARY

[0006] Therefore, the present application provides an educational tablet system with control function to overcome the problem that in the prior art, when the user is paying close attention to the screen, the human eye will adapt to the image characteristics of the current page due to the adaptation mechanism of the human eye. However, when the page is switched, if the image parameters between the switched pages differ greatly, it may cause visual stimulation and affect the vision.

[0007] To achieve the above purpose, the present application provides an educational tablet system with control function, comprising a binocular detection module arranged on the educational tablet to obtain image data of a detection target.

[0008] an action analysis module connected with the binocular detection module, configured to analyze gaze action features of the detection target based on the image data, calculate a visual focus representation parameter according to the gaze action features, and divide a current gaze action category of the detection target;

[0009] a switching analysis module connected with the action analysis module, configured to determine whether the pre-switching browsing page meets the visual stimulation standard according to differences in visual image features between the current browsing page and the pre-switching browsing page in response to a division result of the action analysis module, and optimize the pre-switching browsing page;

[0010] a feature analysis module connected with the binocular detection module and the switching analysis module respectively, configured to determine a visual stimulation time domain segment according to a page switching time, and analyze pupil change features of the detection target in the visual stimulation time domain segment in response to the page switching time;

[0011] a control module connected with the feature analysis module, configured to calculate a visual impact parameter according to the pupil change features and visual image features of the post-switching browsing page, and determine whether to issue a control prompt;

[0012] The gaze action features include a gaze vector offset angle, a facial gaze distance, and a gaze vector change frequency, and the visual image features include a color number and a color saturation mean value.

[0013] Further, the action analysis module configured to analyze gaze action features of the detection target based on the image data includes,

[0014] determining a facial reference plane of the detection target in the image data, selecting an arbitrary eye reference point in the facial reference plane to construct a normal vector of the facial reference plane as a gaze vector;

[0015] determining an included angle between the gaze vector and a normal vector of a plane where the education tablet is located as the gaze vector offset angle;

[0016] determining a distance between a center of the facial reference plane and a predetermined reference point as the facial gaze distance;

[0017] determining a number of direction changes of the gaze vector within a reference time as the gaze vector change frequency;

[0018] The facial reference plane is a plane formed by two eye reference points and a forehead reference point, and the predetermined reference point is a center of a display screen of the education tablet.

[0019] Further, the action analysis module configured to calculate a visual focus representation parameter according to the gaze action features includes,

[0020] determining a ratio of the gaze vector offset angle and a preset standard gaze vector offset angle threshold as a first visual attention influence factor;

[0021] determining a ratio of the face gaze distance and a preset face gaze distance threshold as a second visual attention influence factor;

[0022] determining a ratio of the gaze vector change frequency and a preset gaze vector change frequency threshold as a third visual attention influence factor;

[0023] weighting and summing the first visual attention influence factor, the second visual attention influence factor and the third visual attention influence factor to obtain a visual attention representation parameter.

[0024] Further, the action analysis module divides the current gaze action category of the monitoring target, including,

[0025] if the visual attention representation parameter is in a preset visual attention representation parameter interval, the gaze action category is divided into a strong gaze action category;

[0026] if the visual attention representation parameter is not in a preset visual attention representation parameter interval, the gaze action category is divided into a weak gaze action category.

[0027] Further, the switching analysis module responds to the division result of the action analysis module, including,

[0028] if the action analysis module divides the gaze action category into a strong gaze action category, the action analysis module is started.

[0029] Further, the switching analysis module determines whether the pre-switch browsing page meets the visual stimulation standard, and optimizes the pre-switch browsing page, wherein,

[0030] determining a color number difference ratio and a color saturation average difference ratio in the browsing page and the pre-switch browsing page, respectively;

[0031] determining a sum of the color number difference ratio and the color saturation difference ratio as a difference;

[0032] if the difference is greater than or equal to a preset difference threshold, the switching analysis module determines that the pre-switch browsing page does not meet the visual stimulation standard, and the pre-switch browsing page is optimized;

[0033] wherein, the optimization includes reducing the color saturation of each region of the pre-switch browsing page.

[0034] Further, the feature analysis module determines a time domain segment corresponding to a predetermined time after the page switching time as a visual stimulation time domain segment.

[0035] Further, the feature analysis module is configured to call the image data of the detected target in the visual stimulation time domain segment to analyze the pupil change feature, which comprises,

[0036] annotating the pupil contour in each frame of image data to determine the maximum contour distance of the pupil contour;

[0037] calculating the change amplitude of the maximum contour distance in the visual stimulation time domain segment, and determining the change amplitude as the pupil change feature.

[0038] Further, the control module is configured to calculate the visual impact parameter,

[0039] calculating the ratio of the color number to the preset color number standard threshold as a first visual impact factor;

[0040] calculating the ratio of the color saturation mean value to the preset color saturation standard threshold as a second visual impact factor;

[0041] determining the sum of the first visual impact factor and the second visual impact factor as the visual impact parameter.

[0042] Further, the control module determines whether to issue a control prompt, which comprises,

[0043] if the visual impact parameter is greater than the preset visual impact parameter threshold, it is determined to issue a control prompt.

[0044] Compared with the prior art, the present application sets up a binocular detection module, a motion analysis module, a switching analysis module, a feature analysis module and a control module, analyzes the gaze motion features by obtaining the image data of the detected target, calculates the visual focus representation parameters, divides the current gaze motion category of the detected target, and under the strong gaze motion category, determines whether the pre-switching browsing page meets the visual stimulation standard according to the difference in visual image features between the current browsing page and the pre-switching browsing page, to optimize the pre-switching browsing page, and subsequently calculates the visual impact parameter based on the pupil change feature in the visual stimulation time domain segment combined with the visual image feature to correspondingly issue a control prompt. The present application can obtain the gaze motion features of the detected target, timely discover the situation of stimulating vision during the page switching process and timely intervene, and timely issue a control prompt to reduce the stimulation and influence on vision and improve the user experience.

[0045] Especially, the application calculates the visual concentration characteristic parameter, divides the current gaze action category of the detection target, and in actual conditions, the user concentrates on the screen, and the action dimension and the eye feature dimension have data representation, therefore, the application extracts the gaze action features, including the gaze vector offset angle, the facial gaze distance and the gaze vector change frequency, the gaze vector offset angle represents whether the gaze direction is concentrated on the screen, the facial gaze distance can simply and reliably represent whether the gaze action appears, the gaze vector change frequency represents the concentration degree of the gaze, and then the visual concentration characteristic parameter is calculated, the gaze degree of the detection target on the screen is represented, data support is provided for dividing the gaze action category, so as to timely call the switching analysis module in the subsequent, and whether the visual stimulation standard is met is evaluated, the pre-switching page is optimized, and then the stimulation and influence on the vision in the process of using the education tablet are reduced, and the user experience is improved.

[0046] Especially, the application divides the current gaze action category of the detection target, and in actual conditions, under relatively concentrated gaze, due to the adaptation mechanism of the human eye, the visual image features of the current browsing page are relatively adapted, for example, color saturation, and the switching of the page is usually involved in the process of using the education tablet, if the pre-switching page is greatly different from the current switching page, the eye vision is stimulated, therefore, the switching analysis module is used to analyze the browsing page in time after the gaze action category of the detection target is divided, the pre-switching browsing page is optimized in time, and then the stimulation and influence on the vision in the process of using the education tablet are reduced, and the user experience is improved.

[0047] Especially, the feature analysis module of the application analyzes the pupil change feature in the visual stimulation time domain segment, in actual conditions, the pupil changes after the human eye is stimulated, therefore, the pupil change feature in the visual stimulation time domain segment is monitored, and the visual image features of the switching browsing page are analyzed, whether the switching browsing page has high eye stimulation is considered, and then the control prompt is sent in time, the stimulation and influence on the vision in the process of using the education tablet are reduced, and the user experience is improved. BRIEF DESCRIPTION OF DRAWINGS

[0048] Figure 1 The structure schematic diagram of the education tablet system with the control function of the application embodiment;

[0049] Figure 2 The logic block diagram of dividing the current gaze action category of the detection target of the application embodiment;

[0050] Figure 3 The logic block diagram of judging whether the pre-switching browsing page meets the visual stimulation standard of the application embodiment;

[0051] Figure 4 Logic block diagram for judging whether to issue a control prompt for the embodiment of the application. DETAILED DESCRIPTION

[0052] In order to make the objects and advantages of the present application clearer, the present application will be further described in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0053] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. It should be understood by those skilled in the art that the embodiments are only used to explain the technical principles of the present application and not to limit the protection scope of the present application.

[0054] It should be noted that, in the description of the present application, the terms of direction or position relationship such as "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or position relationship shown in the drawings, which is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0055] In addition, it should also be noted that, in the description of the present application, unless otherwise explicitly specified and limited, the term "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the internal communication of two elements. For those skilled in the art, the specific meaning of the above-mentioned terms in the present application can be understood according to the specific circumstances.

[0056] Please refer to Figures 1 to 4 as shown, Figure 1 Structure schematic diagram of the educational tablet system with control function for the embodiment of the application, Figure 2 Logic block diagram for dividing the current gaze action category of the detection target for the embodiment of the application, Figure 3 Logic block diagram for judging whether the pre-switching browsing page meets the visual stimulation standard for the embodiment of the application, Figure 4 Logic block diagram for judging whether to issue a control prompt for the embodiment of the application, the educational tablet system with control function for the embodiment of the application, comprising,

[0057] A binocular detection module is arranged on the educational tablet to obtain image data of the detection target;

[0058] An action analysis module is connected with the binocular detection module to analyze the gaze action features of the detection target based on the image data, calculate the visual focus representation parameters according to the gaze action features, and divide the current gaze action category of the detection target.

[0059] a switching analysis module connected with the action analysis module, configured to determine whether the pre-switching browsing page meets the visual stimulation standard according to the difference between the visual image features of the current browsing page and the pre-switching browsing page in response to the division result of the action analysis module, so as to optimize the pre-switching browsing page;

[0060] a feature analysis module connected with the binocular detection module and the switching analysis module respectively, configured to determine a visual stimulation time domain segment according to the page switching time, and analyze the pupil change feature by calling the image data of the detection target in the visual stimulation time domain segment in response to the page switching time;

[0061] a control module connected with the feature analysis module, configured to calculate a visual impact parameter according to the pupil change feature and the visual image features of the post-switching browsing page, and determine whether to issue a control prompt;

[0062] The gaze action feature includes a gaze vector offset angle, a facial gaze distance, and a gaze vector change frequency, and the visual image feature includes a color number and a color saturation average value.

[0063] Specifically, the specific structure of the binocular detection module is not limited, which can be a binocular camera device. It can be understood that the binocular camera device can obtain spatial coordinate data of each point of the detection target, so as to facilitate subsequent analysis, which will not be repeated here.

[0064] Specifically, the specific structure of the action analysis module, the switching analysis module, the feature analysis module, and the control module is not limited, which can be composed of a logic component or a combination of logic components, and the logic component includes a field programmable processor, a computer, or a microprocessor in the computer.

[0065] Specifically, the action analysis module is configured to analyze the gaze action feature of the detection target based on the image data, including

[0066] determining a facial reference plane of the detection target in the image data, selecting an arbitrary eye reference point in the facial reference plane to construct a normal vector of the facial reference plane as a gaze vector;

[0067] determining an angle between the gaze vector and a normal vector of a plane where the education tablet is located as the gaze vector offset angle, and preferably, the normal vector of the plane passes through the center of the screen of the education tablet.

[0068] determining a distance between the center of the facial reference plane and a predetermined reference point as the facial gaze distance;

[0069] determining the number of direction changes of the gaze vector within a reference time as the gaze vector change frequency;

[0070] The face reference plane is a plane formed by the two eye reference points and the forehead reference point, and the predetermined reference point is the center of the education tablet display screen. It can be understood that three points in space can form a uniquely determined plane, which will not be described again.

[0071] It can be understood that the gaze action features are determined in the same spatial coordinate system, which will not be described again.

[0072] The reference time is selected within [3s, 5s].

[0073] Specifically, an image processing model or algorithm capable of recognizing gaze action features can be pre-trained and imported into a logic component to realize the corresponding function, which will not be described again.

[0074] Specifically, the action analysis module is used to calculate the visual focus representation parameter based on the gaze action features, including,

[0075] The ratio of the gaze vector offset angle to the preset standard gaze vector offset angle standard threshold is determined as the first visual focus influence factor;

[0076] The ratio of the face gaze distance to the preset face gaze distance standard threshold is determined as the second visual focus influence factor;

[0077] The ratio of the gaze vector change frequency to the preset gaze vector change frequency standard threshold is determined as the third visual focus influence factor;

[0078] The first visual focus influence factor, the second visual focus influence factor, and the third visual focus influence factor are weighted and summed to obtain the visual focus representation parameter.

[0079] Specifically, in implementation, the standard gaze vector offset angle standard threshold is pre-set, wherein a plurality of image data corresponding to the detection target at the page switching moment of the education tablet is pre-collected, the mean of the gaze vector offset angle is determined, and the mean of the gaze vector offset angle is set as the standard gaze vector offset angle standard threshold.

[0080] Specifically, in implementation, the face gaze distance standard threshold is selected within the interval [25cm, 30cm].

[0081] Specifically, in implementation, the gaze vector change frequency standard threshold is pre-set, wherein a plurality of image data corresponding to the detection target within the reference time before and after the page switching moment of the education tablet is pre-collected, the mean of the gaze vector change frequency is determined, and the mean of the gaze vector change frequency is set as the gaze vector change frequency standard threshold. The reference time is half of the reference time.

[0082] Specifically, in the implementation, the weight of the first visual focus influence factor is 0.45, the weight of the second visual focus influence factor is 0.2, and the weight of the third visual focus influence factor is 0.35 when the weighted sum is calculated.

[0083] The visual focus representation parameter is calculated, and the current gaze action category of the detection target is divided. In actual situations, the user concentrates on the screen, and both the action dimension and the eye feature dimension have data representation. Therefore, the gaze action features are extracted, including the gaze vector offset angle, the facial gaze distance, and the gaze vector change frequency. The gaze vector offset angle represents whether the gaze direction is concentrated on the screen. The facial gaze distance can simply and reliably represent whether the gaze action occurs. The gaze vector change frequency represents the concentration degree of the gaze. Then, the visual focus representation parameter is calculated to represent the gaze degree of the detection target on the screen, providing data support for dividing the gaze action category, so as to timely call the switching analysis module in the subsequent process, evaluate whether the visual stimulation standard is met, optimize the pre-switching browsing page, and further reduce the stimulation and influence on the vision during the use of the education tablet, and improve the user experience.

[0084] Specifically, the action analysis module divides the current gaze action category of the monitoring target, including,

[0085] If the visual focus representation parameter is in the preset visual focus representation parameter interval, the gaze action category is divided into a strong gaze action category.

[0086] If the visual focus representation parameter is not in the preset visual focus representation parameter interval, the gaze action category is divided into a weak gaze action category.

[0087] In the case that the detection target is more focused on the education tablet, the visual focus representation parameter fluctuates around 1. In the implementation, the upper limit of the visual focus representation parameter interval is selected in the interval [1.15, 1.3], and the lower limit is selected in the interval [0.85, 0.95].

[0088] Specifically, the switching analysis module responds to the division result of the action analysis module, including,

[0089] If the action analysis module divides the gaze action category into a strong gaze action category, the action analysis module is started.

[0090] It can be understood that the action analysis module is started, that is, the action analysis module starts to perform the corresponding function, which will not be repeated here.

[0091] Specifically, the switching analysis module is used to determine whether the pre-switching browsing page meets the visual stimulation standard, and optimizes the pre-switching browsing page, wherein,

[0092] determining a color quantity difference ratio and a color saturation mean difference ratio in the browsing page and the pre-switch browsing page, respectively;

[0093] determining a sum of the color quantity difference ratio and the color saturation difference ratio as a difference;

[0094] If the difference is greater than or equal to a preset difference threshold, the switching analysis module determines that the pre-switch browsing page does not meet the visual stimulation standard, and the pre-switch browsing page is optimized.

[0095] Preferably, the optimization includes reducing the color saturation of each region of the pre-switch browsing page.

[0096] The person skilled in the art can select the proportion of the reduced color saturation by himself / herself, and adaptively reduce the color saturation of each region of the original browsing page, which will not be described herein.

[0097] Specifically, the purpose of setting the difference threshold is to reflect the difference in visual image features between the two browsing pages. In actual situations, when the color quantity difference ratio is greater than 0.3, it represents that the difference between the browsing page images is large, and when the color saturation difference ratio is greater than 0.25, it represents that the difference between the browsing page images is large. Preferably, the difference threshold is selected within the interval [0.55, 0.75].

[0098] The difference ratio of two values is the ratio of the absolute value of the difference between the two values to the mean of the two values.

[0099] The switching analysis module responds to the division result of the action analysis module. In actual situations, under relatively concentrated gaze, the human eye will adapt to the visual image features of the current browsing page, such as color saturation, due to the adaptation mechanism of the human eye. The switching of the page is usually involved in the use of the education tablet. If there is a large difference between the pre-switch page and the current switching page, it will cause stimulation to the eye vision. Therefore, after the gaze action category of the detection target is divided, the browsing page is analyzed in time by the switching analysis module, and the pre-switch browsing page is optimized in time, thereby reducing the stimulation and influence on the vision during the use of the education tablet and improving the user experience.

[0100] Specifically, the feature analysis module determines a time domain segment corresponding to a predetermined time after the page switching moment as a visual stimulation time domain segment.

[0101] Preferably, the predetermined time is selected within the interval [0.25s, 0.5s].

[0102] Specifically, the feature analysis module uses the image data of the detection target in the visual stimulation time domain segment to analyze the pupil change features, including:

[0103] determining a maximum profile distance of the pupil profile in each frame of image data;

[0104] calculating a variation amplitude of the maximum profile distance in the visual stimulation time domain segment, and determining the variation amplitude as the pupil variation feature.

[0105] The pupil profile can be recognized by using existing image segmentation algorithms, or can be recognized by using other methods, which will not be described herein.

[0106] Specifically, the control module is configured to calculate a visual impact parameter,

[0107] calculate a ratio of the color quantity to a preset color quantity standard threshold as a first visual impact factor;

[0108] calculate a ratio of the color saturation mean value to a preset color saturation standard threshold as a second visual impact factor;

[0109] determine a sum of the first visual impact factor and the second visual impact factor as the visual impact parameter.

[0110] Specifically, the color quantity threshold and the color saturation threshold are preset, wherein a plurality of browsing pages are obtained as samples, the color quantity and the color saturation mean value of the browsing pages are recorded, a first mean value of the color quantity of each browsing page and a second mean value of the color saturation mean value are calculated, and the color quantity threshold is set to 1.3 times the first mean value and the color saturation threshold is set to 1.15 times the second mean value.

[0111] It can be understood that for the human eye, high-saturation colors in the case of fixation can cause visual discomfort and cause visual fatigue. Similarly, an increase in the number of colors, especially an increase in the number of high-saturation colors, can easily cause eye fatigue. Due to the self-adaptive mechanism of the human eye, more adjustment is needed to adapt to these bright colors, thereby causing eye fatigue.

[0112] Specifically, the control module determining whether to issue a control prompt includes,

[0113] If the visual impact parameter is greater than a preset visual impact parameter threshold, it is determined to issue a control prompt.

[0114] In implementation, the visual impact parameter threshold is selected in the interval [2.15, 2.3].

[0115] The control prompt is not specifically limited, for example, it can prompt to increase the fixation distance or prompt to reduce the fixation time.

[0116] The feature analysis module of the present application calls the image data in the visual stimulation time domain segment to analyze the pupil change feature. In actual cases, the human eye will cause the pupil to change after being stimulated. Therefore, the pupil change feature in the visual stimulation time domain segment is monitored, and the visual image feature of the browsed page after switching is analyzed to consider whether there is a higher eye irritation condition in the browsed page after switching. Then, a control prompt is timely sent to reduce the stimulation and influence on vision during the use of the education tablet and improve the user experience.

[0117] So far, the technical solutions of the present application have been described in combination with the preferred embodiments shown in the drawings, but those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical solutions after these changes or replacements will fall within the protection scope of the present application.

Claims

1. An educational tablet system with control functions, characterized in that: include: A binocular detection module, which is installed on an educational tablet, is used to acquire image data of the target to be detected; The action analysis module, which is connected to the binocular detection module, is used to analyze the gaze action features of the detected target based on image data, calculate visual attention representation parameters based on the gaze action features, and classify the current gaze action category of the detected target. A switching analysis module, which is connected to the action analysis module, is used to respond to the segmentation results of the action analysis module. Based on the differences in visual image features between the current browsing page and the pre-switch browsing page, it determines whether the pre-switch browsing page meets the visual stimulus standard, so as to optimize the pre-switch browsing page. The feature analysis module is connected to the binocular detection module and the switching analysis module respectively. It is used to respond to the page switching time, determine the visual stimulation time domain segment based on the page switching time, and call the image data of the detected target within the visual stimulation time domain segment to analyze the pupil change features. The control module, which is connected to the feature analysis module, is used to calculate visual impact parameters based on the pupil change features and the visual image features of the page after switching, and to determine whether to issue a control prompt. The gaze action features include gaze vector offset angle, facial gaze distance, and gaze vector change frequency; the visual image features include color quantity and average color saturation. The action analysis module categorizes the current gaze action of the monitored target into the following types: If the visual focus representation parameter is within a preset visual focus representation parameter range, then the fixation action is classified as a strong fixation action category. If the visual focus representation parameter is not within the preset visual focus representation parameter range, then the fixation action is classified as a weak fixation action category. The switching analysis module responds to the division results of the action analysis module, including: If the action analysis module classifies the gaze action as a strong gaze action, then the action analysis module is activated; The switching analysis module is used to determine whether the page to be switched meets the visual stimulus standard, and to optimize the page to be switched. Used to determine the difference ratio of the number of colors and the difference ratio of the mean color saturation between the browsed page and the pre-switched browsed page, respectively; The difference is determined by summing the color quantity difference ratio and the color saturation mean difference ratio. If the difference is greater than or equal to a preset difference threshold, the switching analysis module determines that the pre-switched browsing page does not meet the visual stimulus standard, and the pre-switched browsing page is optimized. The optimizations include reducing the color saturation in different areas of the pre-switch browsing page.

2. The educational tablet system with control function according to claim 1, characterized in that, The action analysis module is used to analyze and detect the gaze action features of the target based on image data, including: Used to determine the facial reference plane of the monitored target in the image data, and the normal vector of the facial reference plane is constructed by selecting any eye reference point in the facial reference plane as the gaze vector; The angle between the gaze vector and the normal vector of the plane containing the educational tablet is used to determine the gaze vector offset angle; This is used to determine the facial gaze distance as the distance between the center of the facial reference plane and a predetermined reference point; The number of times the gaze vector changes direction within a reference time is used to determine the gaze vector change frequency. The facial reference plane is a plane formed by two eye reference points and a forehead reference point, and the predetermined reference point is the center of the educational tablet display screen.

3. The educational tablet system with control function according to claim 2, characterized in that, The action analysis module is used to calculate visual attention representation parameters based on gaze action features, including... The ratio of the gaze vector offset angle to a preset standard gaze vector offset angle threshold is used to determine the first visual focus influencing factor. The ratio of facial gaze distance to a preset standard threshold for facial gaze distance is used to determine the second visual focus influencing factor. The ratio of the frequency of gaze vector changes to a preset standard threshold for gaze vector change frequency is used to determine the third visual focus influence factor. The first visual focus influencing factor, the second visual focus influencing factor, and the third visual focus influencing factor are weighted and summed to obtain the visual focus characterization parameter.

4. The educational tablet system with control function according to claim 1, characterized in that, The feature analysis module determines the time domain segment corresponding to the predetermined time elapsed after the page switching moment as the visually stimulated time domain segment.

5. The educational tablet system with control function according to claim 1, characterized in that, The feature analysis module is used to call up image data of the detected target within the visually stimulated time domain segment to analyze pupil change features, including... Used to annotate the pupil outline in each frame of image data and determine the maximum outline spacing of the pupil; This is used to calculate the amplitude of the change in the maximum contour spacing within the visually stimulated time domain, and the amplitude of the change is determined as the pupil change feature.

6. The educational tablet system with control function according to claim 1, characterized in that, The control module is used to calculate visual impact parameters. The ratio of the number of colors to the preset standard threshold for the number of colors is used as the first visual impact factor. The ratio of the mean color saturation to the preset color saturation standard threshold is used as the second visual influence factor. This is used to determine the sum of the first visual impact factor and the second visual impact factor as the visual impact parameter.

7. The educational tablet system with control function according to claim 1, characterized in that, The control module determines whether to issue a control prompt by including: If the visual impact parameter is greater than the preset visual impact parameter threshold, a control prompt will be issued.

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