Vision correction method based on VR eyeball following movement

Abstract

The invention discloses a vision correction method based on VR eyeball following movement, and relates to the field of vision and vision correction, in particular to a method for correcting vision through eyeball following movement of a human body based on a VR technology, a glasses tool, corollary equipment and an application method. Comprising the steps of training acquisition, training video selection, following judgment, video adjustment and the like, the following condition of the eyeball can be evaluated more accurately by calculating the angle difference and the eyeball movement following degree, and the problems that misjudgment possibly exists in a traditional method and the training effect is poor due to the fact that the eyeball cannot follow are solved. According to the technology, the parameters of the training video can be dynamically adjusted according to real-time feedback of the eyeball following degree, and the vision correction effect is improved; by means of the VR technology, tools, equipment and other methods, eyeballs move along with the VR technology, tools, equipment and the like, and the vision of people is improved and corrected; therefore, extraocular muscles are trained to drive eyeballs to move, eyeball crystalline lenses move back and forth along with the video, and the effect of improving the naked eye vision is achieved.

Description

Technical Field

[0001] The present invention relates to the field of vision correction, and in particular to a vision correction method based on VR eye-following movement. Background Art

[0002] In recent years, vision correction technology has received widespread attention and development. Although traditional vision correction methods, such as wearing glasses or contact lenses, can improve vision problems to a certain extent, they cannot fundamentally solve the causes of vision loss, and there are problems such as inconvenience in use and poor comfort. With the advancement of science and technology, people have begun to explore more advanced and effective vision correction methods. Among them, a vision correction method based on VR technology has emerged. By using VR video, the user's eyes follow the video for mirror-symmetrical movements, so that the extraocular muscles can stretch and relax, thereby restoring naked eye vision. However, existing VR-based vision correction methods still have problems: due to the different eye movements of users, it is difficult to ensure that each user can effectively follow the target point movement in the VR video, which affects the correction effect, and traditional vision correction methods often lack real-time evaluation and feedback mechanisms for user eye movements, and cannot dynamically adjust training parameters according to the user's actual situation.

[0003] Therefore, the present invention proposes a vision correction method based on VR eye-following movement. When using this method and VR vision correction equipment, the eyeballs are made to move following the video in the equipment, and this movement state does not exist in life. The two eyeballs are made to move in opposite directions relative to each other, thereby exercising specific eye muscles. In addition, the present invention monitors the user's eye-following situation in real time and dynamically adjusts the parameters of the training video according to the feedback, so that the vision correction method can be adjusted according to the user's myopia condition, thereby improving the effect and comfort of naked eye vision correction. Summary of the invention

[0004] In order to solve the above-mentioned problems in the prior art, the first purpose of the present invention is to provide a vision correction method based on VR eye-following movement. During the process of using VR video for vision correction, the user's eye following situation is monitored in real time, and the video parameters of the VR training video are adjusted in time according to the eye following situation. This solves the problem of poor training effect caused by the inability of the eyes to follow the video movement in the existing vision correction method, and achieves the beneficial effect of improving naked eye vision.

[0005] In order to achieve the above object, the present invention provides a method for vision correction based on VR eye-following movement, comprising: A data acquisition step, obtaining gaze point position data, pupil diameter, blink frequency, visual acuity parameters and interocular distance through a plurality of sensors; A training video selection step, setting initial video parameters according to the vision parameters and eye distance, wherein the initial video parameters include target point movement speed, visual angle value and video brightness; The following judgment step is to overlap the gaze point with the target point and start the training video, calculate the eye movement following degree according to the gaze point position data, and compare the eye movement following degree with the threshold value. When the eye movement following degree is lower than the threshold value, the eye tracking result is output as abnormal, otherwise the eye tracking result is output as normal; The video adjustment step receives the eye tracking result. When the eye tracking result is abnormal, the target point movement speed and the field of view angle value are adjusted. According to the pupil diameter and blinking frequency changes, the video brightness and the target point movement speed are adjusted. After the adjustment, the eye tracking result is judged again. When the eye tracking result is abnormal, a tracking warning picture is generated and displayed, and the correction is stopped.

[0006] By using a vision correction method based on VR training videos and adjusting information such as the movement speed, movement range, and video brightness of the target point in the video, the vision correction method can be adjusted in real time according to the user's vision parameters, that is, the degree of myopia, thereby improving the degree of fit of the eyeball following the movement and improving the effectiveness of naked eye vision correction.

[0007] As a further improvement of the present invention, the training video selection step includes: receiving the eye distance, gaze point position data and vision parameters, calculating the head offset angle according to the gaze point position data, and calculating the visual angle value and the initial coordinate value of the target point according to the eye distance, vision parameters and head offset angle, and setting the target point movement speed and video brightness. By adjusting the use parameters of the training video through the initial parameters, the training video can be adjusted in time according to the user's myopia degree, thereby improving the use effect of the vision correction method.

[0008] The training video selection step can tailor a suitable training video for the user, ensuring that the user can maintain comfort while watching and effectively exercise the eye following ability, thereby achieving the purpose of vision correction. Through the above improvements, the training video selection step can optimize the training video according to the user's personal characteristics, thereby improving the use effect of the vision correction method.

[0009] As a further improvement of the present invention, the initial coordinate value of the target point is calculated as follows: ; Among them, T x0 ,T y0are the horizontal and vertical coordinates of the initial coordinates of the target point, n is the degree of myopia, d is the distance between eyes, α is the angle of vision, r is the display clarity, the display clarity is a constant, β is the head deviation angle, I is the ambient light intensity, a is the user's age, g is the gender coefficient, t is the usage time, is the fatigue coefficient and e is the constant coefficient.

[0010] The coordinate value of the initial target point in the training video is calculated by the user's myopia degree and the user's eye distance information, as well as the deflection angle between the user's head and the center line of the device after wearing the VR video, that is, the head offset angle. This allows the user to more accurately determine the movement range of the target point, that is, the field of view angle value, when initially using the vision correction method. The initial coordinate value is adjusted by using coefficients such as gender and age, so that the training video is matched with the user, thereby improving the correction effect of the vision correction method.

[0011] As a further improvement of the present invention, the viewing angle values ​​are: ; in, is the visual field influence function, and the visual field angle α is obtained by performing Gaussian function weighted processing according to the eye distance and the myopia degree to obtain the visual field influence function value, and the visual field angle α is the boundary value reached by the target point movement in the training video.

[0012] The field of view angle value is determined by interpolating the angle between the user's head, that is, the line of sight direction and the VR training device, and the field of view angle value of the target point in the training video. The field of view influence function determines the field of view angle value by the user's eye distance and myopia degree, thereby improving the naked eye vision correction effect.

[0013] As a further improvement of the present invention, the following judgment step obtains the gaze point position data, calculates the angle difference between the eye gaze point and the movement direction of the target point in the training video according to the coordinate difference between the gaze point position data and the target point, and calculates the eye movement following degree. The eye movement following degree is used to indicate the following status of the eye. When the eye movement following degree is lower than a threshold value, the eye tracking result is output as abnormal, and the video adjustment step is entered.

[0014] As a further improvement of the present invention, the eye tracking degree is set as follows:

[0015]

[0016] Among them, S represents the eye tracking degree, v i is the eye movement speed, x i-1 ,y i-1are the horizontal and vertical coordinates of the gaze point position at the previous time point, θ i is the angular difference between the eye gaze point movement direction at the i-th time point and the target point movement direction in the training video, i.e., the gaze target difference, T x , T y are the horizontal and vertical coordinates of the target point in the training video, respectively, T x-1 , T y-1 They are respectively the horizontal and vertical coordinates of the target point in the training video at the previous time point.

[0017] As a further improvement of the present invention, after the video adjustment step obtains the eye-following degree information, the movement speed of the target point is adjusted according to the vision parameters and the eye-following degree, combined with the pupil diameter and the blinking frequency.

[0018] As a further improvement of the present invention, when the eye-following degree is lower than a threshold value, the training video stops working, the video parameters of the training video are adjusted to adjust the target point movement speed and the field of view angle value in the training video, and the training video is restarted. When the eye-following degree is lower than the threshold value during the working cycle of the training video, the training video stops working and displays a following warning picture.

[0019] The beneficial effects of the present invention are: The present invention proposes a method for correcting vision based on eyeball following movement in VR video. By calculating the angle difference and the degree of eyeball following movement, the eyeball following situation can be evaluated more accurately, avoiding the possible misjudgment in the traditional method and the problem of poor training effect due to the inability of the eyeball to follow. According to the real-time feedback of the eyeball following degree, the parameters of the training video can be dynamically adjusted to improve the effect of naked eye vision correction; by using the method for correcting vision based on VR eyeball following movement, the extraocular muscles are trained to drive the movement of the eyeball, and the lens is made to move back and forth following the video, so as to achieve the effect of improving naked eye vision. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The present invention is a flow chart of a method for vision correction based on VR eye-following movement.

[0021] Figure 2 Schematic diagram of naked eye vision correction principle in an embodiment of the present invention.

[0022] Figure 3 It is a vision correction parameter matching table in the embodiment of the present invention. DETAILED DESCRIPTION

[0023] The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described here are only part of the embodiments of the present invention, not all of them. Based on the following embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] In today's digital age, myopia has become an increasingly prominent problem and has become a global health challenge. With the advancement of technology and changes in lifestyle, people are using more and more electronic screens, and long-term close-up use of the eyes has led to decreased vision. Faced with this severe situation, a variety of vision correction methods have emerged, from traditional glasses and contact lenses to advanced laser surgery and various vision training therapies. People are constantly exploring new ways to improve vision. The present invention relates to a naked eye vision adjustment method, and its process refers to Figure 1 As shown in , it improves vision by allowing the eyeball to follow a moving target point. Figure 2 Shown is a schematic diagram of the direction of muscle tension around the eyeball when using this method. The core of this method is to utilize the contraction and relaxation of the extraocular muscles to continuously adjust the posterior movement of the lens so that the lens can adapt to changes in the position of the target point, thereby enhancing the elasticity of the lens and improving the naked eye vision correction effect.

[0025] Specifically, the embodiment of the present invention proposes a method for vision correction based on VR eye-following movement, referring to Figure 1 As shown, including: A data acquisition step, obtaining gaze point position data, pupil diameter, blink frequency, visual acuity parameters and interocular distance through a plurality of sensors; A training video selection step, setting initial video parameters according to the vision parameters and eye distance, wherein the initial video parameters include target point movement speed, visual angle value and video brightness; In this embodiment, refer to Figure 1 As shown, the training video selection step includes: receiving the eye distance, gaze point position data and vision parameters, calculating the head offset angle according to the gaze point position data, and calculating the visual angle value and the initial coordinate value of the target point according to the eye distance, vision parameters and head offset angle, and setting the target point movement speed and video brightness. By adjusting the use parameters of the training video through the initial parameters, the training video can be adjusted in time according to the user's myopia degree, thereby improving the use effect of the vision correction method.

[0026] The training video selection step can tailor a suitable training video for the user, ensuring that the user can maintain comfort while watching and effectively exercise the eye following ability, thereby achieving the purpose of vision correction. Through the above improvements, the training video selection step can optimize the training video according to the user's personal characteristics, thereby improving the use effect of the vision correction method.

[0027] In this embodiment, refer to Figure 1 As shown, the initial coordinate value of the target point is calculated as follows: ; Among them, T x0 ,T y0 are the horizontal and vertical coordinates of the initial coordinates of the target point, n is the degree of myopia, d is the distance between eyes, α is the angle of vision, r is the display clarity, the display clarity is a constant, β is the head deviation angle, I is the ambient light intensity, a is the user's age, g is the gender coefficient, t is the usage time, is the fatigue coefficient and e is the constant coefficient.

[0028] The coordinate value of the initial target point in the training video is calculated by the user's myopia degree and the user's eye distance information, as well as the deflection angle between the user's head and the center line of the device after wearing the VR video, that is, the head offset angle. This allows the user to more accurately determine the movement range of the target point, that is, the field of view angle value, when initially using the vision correction method. The initial coordinate value is adjusted by using coefficients such as gender and age, so that the training video is matched with the user, thereby improving the correction effect of the vision correction method.

[0029] In this embodiment, refer to Figure 1 As shown, the viewing angle values ​​are: ; in, is the visual field influence function, and the visual field angle α is obtained by performing Gaussian function weighted processing according to the eye distance and the myopia degree to obtain the visual field influence function value, and the visual field angle α is the boundary value reached by the target point movement in the training video.

[0030] The field of view angle value is determined by interpolating the angle between the user's head, that is, the line of sight direction and the VR training device, and the field of view angle value of the target point in the training video. The field of view influence function determines the field of view angle value by the user's eye distance and myopia degree. The field of view angle value is the maximum angle to which the user's gaze point can move during the naked eye vision correction process. By setting the field of view angle value, the target point can be prevented from moving beyond the maximum comfort range of the eyeball, thereby improving the correction effect of the naked eye vision correction.

[0031] The following judgment step is to overlap the gaze point with the target point and start the training video, calculate the eye movement following degree according to the gaze point position data, and compare the eye movement following degree with the threshold value. When the eye movement following degree is lower than the threshold value, the eye tracking result is output as abnormal, otherwise the eye tracking result is output as normal; In this embodiment, refer to Figure 1 As shown, the following judgment step obtains the gaze point position data, calculates the angle difference between the eye gaze point and the movement direction of the target point in the training video according to the coordinate difference between the gaze point position data and the target point, and calculates the eye movement following degree. The eye movement following degree is used to indicate the following status of the eye. When the eye movement following degree is lower than the threshold, the eye tracking result is output as abnormal, and the video adjustment step is entered.

[0032] In this embodiment, refer to Figure 1 As shown, the eye tracking degree is set as follows:

[0033]

[0034] Among them, S represents the eye tracking degree, v i is the eye movement speed, x i-1 ,y i-1 are the horizontal and vertical coordinates of the gaze point position at the previous time point, θ i is the angular difference between the eye gaze point movement direction at the i-th time point and the target point movement direction in the training video, i.e., the gaze target difference, T x , T y are the horizontal and vertical coordinates of the target point in the training video, respectively, T x-1 , T y-1 They are respectively the horizontal and vertical coordinates of the target point in the training video at the previous time point.

[0035] The video adjustment step receives the eye tracking result. When the eye tracking result is abnormal, the target point movement speed and the field of view angle value are adjusted. According to the pupil diameter and blinking frequency changes, the video brightness and the target point movement speed are adjusted. After the adjustment, the eye tracking result is judged again. When the eye tracking result is abnormal, a tracking warning picture is generated and displayed, and the correction is stopped.

[0036] In this embodiment, refer to Figure 1 As shown, after the video adjustment step obtains the eye tracking degree information, the movement speed of the target point is adjusted according to the vision parameters and the eye tracking degree, combined with the pupil diameter and the blinking frequency.

[0037] By using a vision correction method based on VR training videos and adjusting information such as the movement speed, movement range and video brightness of the target point in the video, the vision correction method can be adjusted in real time according to the user's vision parameters, that is, the degree of myopia, thereby improving the degree of fit of the eyeball following the movement and improving the effectiveness of the vision correction method.

[0038] In this embodiment, refer to Figure 1 As shown, when the eye-following degree is lower than a threshold value, the training video stops working, the video parameters of the training video are adjusted, the target point movement speed and the field of view angle value in the training video are adjusted, and the training video is restarted. When the eye-following degree is lower than a threshold value during the working cycle of the training video, the training video stops working and a following warning picture is displayed.

[0039] The present invention proposes a vision correction method based on VR eye-following movement. The specific implementation method includes: when a user wears a VR device for naked eye vision correction, the user's eye gaze point position coordinates, pupil diameter, user blinking frequency and eye distance are obtained through a visual image acquisition sensor set in the VR device, and the basic video parameters loaded on the VR naked eye vision correction device are adjusted according to the user's actual vision parameters (i.e. myopia), user age and user gender. The specific parameter correspondence table is as follows: Figure 3 As shown in the figure, after a large number of experiments, it is shown that the parameters also need to be adjusted when the user's gender is different. The adjustment range is shown in the table. As the degree of myopia increases, the elasticity of the user's lens decreases, and the user's ability to follow the target point in the vision correction video decreases. On the basis of 100 degrees of myopia, for every 100 degrees increase, the target point movement speed, left and right eye distance and visual angle values ​​decrease by a certain value as the degree of myopia increases. Since the video brightness directly stimulates vision, the video brightness decreases as the degree of myopia increases; and as the age increases, the user's target point movement speed, left and right eye distance and visual angle values ​​also decrease. Therefore, on the basis of 18 years old, every increase or decrease in age, the video parameters are adjusted adaptively. For example, when the user is a 25-year-old male with 300 degrees of myopia, the target point movement speed of the VR naked eye vision correction video selected by him is 0.004m / s, the video brightness is 233nit, the left and right eye distance is 18.8mm, and the visual angle value is 136°. At this time, the correction effect of the VR naked eye vision correction device is optimal.

[0040] The above shows and describes the basic features, principles and advantages of the present invention. It should be noted that the present invention is not limited to the above embodiments, which are only partial embodiments. Under the premise of not departing from the spirit and scope of the present invention, several improvements and supplements made are considered as the protection scope of the present invention.

Claims

1. A method for vision correction based on VR eye-following movement, characterized in that: include: A data acquisition step, obtaining gaze point position data, pupil diameter, blink frequency, visual acuity parameters and interocular distance through a plurality of sensors; A training video selection step, setting initial video parameters according to the vision parameters and eye distance, wherein the initial video parameters include target point movement speed, visual angle value and video brightness; The following judgment step is to overlap the gaze point with the target point and start the training video, calculate the eye movement following degree according to the gaze point position data, and compare the eye movement following degree with the threshold value. When the eye movement following degree is lower than the threshold value, the eye tracking result is output as abnormal, otherwise the eye tracking result is output as normal; The video adjustment step receives the eye tracking result. When the eye tracking result is abnormal, the target point movement speed and the field of view angle value are adjusted. According to the pupil diameter and blinking frequency changes, the video brightness and the target point movement speed are adjusted. After the adjustment, the eye tracking result is judged again. When the eye tracking result is abnormal, a tracking warning picture is generated and displayed, and the correction is stopped.

2. The method for vision correction based on VR video eye-following motion according to claim 1, characterized in that: The training video selection step includes: receiving the eye distance, gaze point position data and vision parameters, calculating the head offset angle according to the gaze point position data, and obtaining the field of view angle value and the initial coordinate value of the target point according to the eye distance, vision parameters and head offset angle, and setting the target point movement speed and video brightness.

3. The method for vision correction based on VR video eye-following motion according to claim 2, characterized in that: The initial coordinate value of the target point is calculated as follows: ； Among them, T x0 ,T y0 are the horizontal and vertical coordinates of the initial coordinates of the target point, n is the degree of myopia, d is the distance between eyes, α is the angle of vision, r is the display clarity, the display clarity is a constant, β is the head deviation angle, I is the ambient light intensity, a is the user's age, g is the gender coefficient, t is the usage time, is the fatigue coefficient and e is the constant coefficient.

4. The method for vision correction based on VR video eye-following movement according to claim 3, characterized in that: The field of view angle values ​​are: ； in, is the visual field influence function, and the visual field angle α is obtained by performing Gaussian function weighted processing according to the eye distance and the myopia degree to obtain the visual field influence function value, and the visual field angle α is the boundary value reached by the target point movement in the training video.

5. The method for vision correction based on VR video eye-following movement according to claim 1, characterized in that: The following judgment step obtains the gaze point position data, calculates the angle difference between the eye gaze point and the movement direction of the target point in the training video according to the coordinate difference between the gaze point position data and the target point, and calculates the eye movement following degree. The eye movement following degree is used to indicate the following status of the eye. When the eye movement following degree is lower than the threshold, the eye tracking result is output as abnormal, and the video adjustment step is entered.

6. The method for vision correction based on VR video eye-following motion according to claim 1, characterized in that: The eye tracking degree settings are: Among them, S represents the eye tracking degree, v i is the eye movement speed, x i-1 ,y i-1 are the horizontal and vertical coordinates of the gaze point position at the previous time point, θ i is the angular difference between the eye gaze point movement direction at the i-th time point and the target point movement direction in the training video, i.e., the gaze target difference, T x , T y are the horizontal and vertical coordinates of the target point in the training video, respectively, T x-1 , T y-1 They are respectively the horizontal and vertical coordinates of the target point in the training video at the previous time point.

7. The method for vision correction based on VR video eye-following movement according to claim 1, characterized in that: After the video adjustment step obtains the eye tracking degree information, the target point movement speed is adjusted according to the vision parameters and the eye tracking degree, combined with the pupil diameter and the blinking frequency.

8. The method for vision correction based on VR video eye-following movement according to claim 7, characterized in that: When the eye-following degree is lower than a threshold, the training video stops working, the video parameters of the training video are adjusted to adjust the target point movement speed and the field of view angle value in the training video, and the training video is restarted. When the eye-following degree is lower than a threshold during the working cycle of the training video, the training video stops working and displays a following warning picture.

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