CN107037592B - Wear vision optimization system, intelligent terminal and the helmet of display equipment - Google Patents

Wear vision optimization system, intelligent terminal and the helmet of display equipment Download PDF

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Publication number
CN107037592B
CN107037592B CN201710474425.XA CN201710474425A CN107037592B CN 107037592 B CN107037592 B CN 107037592B CN 201710474425 A CN201710474425 A CN 201710474425A CN 107037592 B CN107037592 B CN 107037592B
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diopter
fit
module
user
training
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CN107037592A (en
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曾雪骢
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Changzhou Mdt Infotech Ltd!
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Changzhou Mdt Infotech Ltd!
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    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
    • G02B27/00Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
    • G02B27/01Head-up displays
    • G02B27/017Head mounted
    • G02B27/0172Head mounted characterised by optical features
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
    • G02B27/00Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
    • G02B27/01Head-up displays
    • G02B27/0101Head-up displays characterised by optical features
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/012Head tracking input arrangements
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
    • G02B27/00Optical systems or apparatus not provided for by any of the groups G02B1/00 - G02B26/00, G02B30/00
    • G02B27/01Head-up displays
    • G02B27/0101Head-up displays characterised by optical features
    • G02B2027/014Head-up displays characterised by optical features comprising information/image processing systems

Abstract

The present invention provides a kind of vision optimization systems for wearing display equipment, comprising: visualization module is configured as display electronic image;Virtual coordinates module is configured as the plane where the virtual image and establishes rectangular coordinate system, and the position of the virtual image planar is fixed;This vision optimization system for wearing display equipment obtains the best diopter of focus-variable lens according to the standard diopter of the blinkpunkt of eyes of user and eyes, then the diopter of focus-variable lens is adjusted accordingly, purpose is to allow user when watching electron image, ciliary muscle is in the state loosened as far as possible, ciliary muscle is effectively prevent because remaining retracted state for a long time, lead to muscle spasmus, guarantees that user uses the health that will not damage eyes when such product.

Description

Wear vision optimization system, intelligent terminal and the helmet of display equipment
Technical field
The present invention relates to wear display equipment technical field more particularly to a kind of vision optimization system for wearing display equipment System, intelligent terminal and helmet.
Background technique
Wear display equipment include: virtual reality (VR) display, such as by Sony, Samsung, Oculus, Those of manufactured by CarlZeiss;Head-mounted display (HMD), such as by Google and Vuzix it is produced those;Enhancing Real (AR) display, such as those of as manufactured by Microsoft, Vuzix and DigiLens;And mixing enhancing (MR) etc. Other similar devices.Such equipment is visual " feeling of immersion " to the most important experience of user, and image content is allowed to cover completely The visual field for covering you, is not interfered by actual environment, is seemingly immersed in another world, and principle is by two pieces of convex lenses In the virtual image of one electron image of ipsilateral generation of electronic curtain, user sees bigger than practical electron image through convex lens The virtual image, and eyes of the virtual image apart from user are close, therefore electron image covers the visual field of user.
There is the structure for being " crystalline lens " in our eyeball, crystalline lens is connected by ciliary zonule with ciliary body, The contraction and diastole of ciliary muscle can change curvature of lens in ciliary body, and ciliary muscle is being hauled just as the person of low position of a pulling force Crystalline lens changes its thickness, and to adjust far and near scenery, imaging is on the retina.Crystalline lens is equivalent to one and can deform Convex lens, ciliary muscle change lenticular shape to adjust lenticular diopter, and when ciliary muscle loosens, crystalline lens is drawn Put down thinning, diopter becomes smaller, and at this moment it may be seen that the scenery of distant place, when ciliary muscle contraction, crystalline lens thickens, bends Luminosity is got higher, when being at this moment exactly that we will see nearby scenery.If the state long time that ciliary muscle remains retracted, just hold Easy muscle spasmus, ciliary muscle will deform, and adjust lenticular ability decline, and crystalline lens also deforms therewith, lead to crystalline lens Standard diopter (under ciliary muscle relaxation state) improves, the adjustable range decline of diopter, just at the myopia being commonly called as.
Although the feeling of immersion that head-mounted display apparatus can be on the spot in person to people, the virtual image of electron image is apart from eyeball It is closer, it is equivalent to the viewing electronic curtain for keeping short distance, ciliary muscle will be nervous for a long time as holding described above State causes myopia.
Summary of the invention
The technical problem to be solved by the present invention is when being used for head-mounted display apparatus at present on the market for user Between it is long, eyes generate fatigue, and the problem of leading to visual impairment, the present invention provides one kind to wear there is no effective solution scheme Vision optimization system, intelligent terminal and the helmet of equipment are shown to solve the above problems.
The technical solution adopted by the present invention to solve the technical problems is: a kind of vision optimization system wearing display equipment System, comprising:
Visualization module is configured as display electronic image;
Virtual coordinates module is configured as the plane where the virtual image and establishes rectangular coordinate system, and the virtual image is planar Position is fixed;
Initial module is configured as the head initial position of calibration user, when the head of user is in initial position just Apparent direction is Q0, and the positive apparent direction Q0 is perpendicular to plane where the virtual image and eyes along the sight of positive apparent direction Q0 concentrate on void On inconocenter point O;
Calling module is configured as obtaining the standard diopter D0 of eyes of user, obtain between eyes and virtual image central point O Linear distance be L0;
Detection module is faced, the head form of detection user is configured as, obtains user positive apparent direction Q1 in real time;
Best diopter generation module, is configured as obtaining eyes according to distance L0, positive apparent direction Q1 and positive apparent direction Q0 It is L1 in the blinkpunkt O1 in the virtual image and the linear distance between eyes, is obtained in real time according to distance L1 and standard diopter D0 Best diopter D1;
Adjustment module is configured as adjusting focus-variable lens, and the region for being located at focus-variable lens before the crystalline lens of eyes is bent Luminosity is D1.
Preferably, further include:
Training threshold value obtains module, is configured as obtaining diopter training lower limit according to standard diopter D0 and diopter D1 Fit_min, diopter training upper limit fit_max and diopter training unit fit_offset;
Training module is configured for:
First round training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min;
Second wheel training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=fit_max, deconditioning, Otherwise it carries out third round training: adjusting the diopter of focus-variable lens consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset*2;And so on, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditioning, wherein m is the wheel number trained.
As preferred:
The calling module is additionally configured to obtain the age F of user, and the best diopter generation module is configured as Best diopter D1 in real time is obtained according to age F, distance L1 and standard diopter D0;
Training threshold value obtains module and is configured as obtaining diopter instruction according to age F, standard diopter D0 and diopter D1 Practice lower limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset.
Preferably, further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains most clear When clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, according to statistical result by distance As condition, diopter D2 establishes table 1 as a result by L1, the standard diopter D0 of user and age F;
The best diopter generation module is configured as passing through inquiry according to age F, distance L1 and standard diopter D0 Table 1 obtains diopter D1.
Preferably, further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains most clear When clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, most according to statistical result setting Remote Lmax, when L1 < Lmax, D1=D0*f1 (L1, F), function f1 are to carry out the linear of linear regression acquisition to statistical result Function;When L1 >=Lmax, D1=D0*f2 (F), f2 are fixed value corresponding with age F;
The best diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1>=Lmax, D1 =D0*f2 (F).
As preferred: the trained threshold value obtains module and is configured as:
Formula fit_min=f3 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_min of effect as sample carry out Statistics, function f3 are the linear functions that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_max of effect as sample carry out Statistics, function f4 are the linear functions that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is established, function f5 is linear equation.
As preferred: the calling module is additionally configured to obtain the interpupillary distance P of user;
The trained threshold value obtains module and is configured as: establishing formula fit_min=f3 (F, D0, P, D1), establishes formula Fit_max=f4 (F, D0, P, D1).
As preferred: further including partition module, be configured as using intersection point O1 as the center of circle, be by the border circular areas of radius of R Main field of regard, virtual image other parts are time field of regard;
The visualization module is additionally configured to improve the image quality of main field of regard and/or reduces the picture matter of time field of regard Amount.
As preferred: further including customer data base, have at least one user data, the use in the customer data base User data includes ID number, identity information, age F, standard diopter D0 and interpupillary distance P, and the identity information includes character string, vocal print Data, finger print data and/or iris data.
Preferably, further include:
Input module is configured as obtaining verification information;
Authentication module is configured as verifying verification information and the identity information in the user data, and verifying is logical Later it takes out and using age F, standard diopter D0 and the interpupillary distance P in the user data.
Memory module is configured as storage user data.
The present invention also provides a kind of intelligent terminals, preferably, including:
Communication module is configured as and helmet data interaction;
Receiving module is configured as obtaining the head initial position of the user of helmet calibration, and display equipment is worn in acquisition Detect the head form of user;
Visualization module is configured as display electronic image;
Virtual coordinates module is configured as the plane where the virtual image and establishes rectangular coordinate system, and the virtual image is planar Position is fixed;
Initial module is configured as the positive apparent direction that the head of user is in initial position being set as Q0, the side of facing To Q0 perpendicular to plane where the virtual image and eyes concentrate on virtual image central point O along the sight of positive apparent direction Q0;
Calling module is configured as obtaining the standard diopter D0 of eyes of user, obtain between eyes and virtual image central point O Linear distance be L0;
Detection module is faced, is configured as obtaining user positive apparent direction Q1 in real time according to head form;
Best diopter generation module, is configured as obtaining eyes according to distance L0, positive apparent direction Q1 and positive apparent direction Q0 It is L1 in the blinkpunkt O1 in the virtual image and the linear distance between eyes, is obtained in real time according to distance L1 and standard diopter D0 Best diopter D1;
Sending module is configured as best diopter D1 being sent to helmet.
Preferably, further include:
Training threshold value obtains module, is configured as obtaining diopter training lower limit according to standard diopter D0 and diopter D1 Fit_min, diopter training upper limit fit_max and diopter training unit fit_offset;
The sending module be additionally configured to by diopter training lower limit fit_min, diopter training upper limit fit_max and Diopter training unit fit_offset is sent to helmet.
As preferred:
The calling module is additionally configured to obtain the age F of user, and the best diopter generation module is configured as Best diopter D1 in real time is obtained according to age F, distance L1 and standard diopter D0;
Training threshold value obtains module and is configured as obtaining diopter instruction according to age F, standard diopter D0 and diopter D1 Practice lower limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset.
Preferably, further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains most clear When clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, according to statistical result by distance As condition, diopter D2 establishes table 1 as a result by L1, the standard diopter D0 of user and age F;
The best diopter generation module is configured as passing through inquiry according to age F, distance L1 and standard diopter D0 Table 1 obtains diopter D1.
Preferably, further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains most clear When clear visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, most according to statistical result setting Remote Lmax, when L1 < Lmax, D1=D0*f1 (L1, F), function f1 are to carry out the linear of linear regression acquisition to statistical result Function;When L1 >=Lmax, D1=D0*f2 (F), f2 are fixed value corresponding with age F;
The best diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1>=Lmax, D1 =D0*f2 (F).
As preferred: the trained threshold value obtains module and is configured as:
Formula fit_min=f3 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_min of effect as sample carry out Statistics, function f3 are the linear functions that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_max of effect as sample carry out Statistics, function f4 are the linear functions that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is established, function f5 is linear equation.
As preferred: the calling module is additionally configured to obtain the interpupillary distance P of user;
The trained threshold value obtains module and is configured as: establishing formula fit_min=f3 (F, D0, P, D1), establishes formula Fit_max=f4 (F, D0, P, D1).
As preferred: further including partition module, be configured as using intersection point O1 as the center of circle, be by the border circular areas of radius of R Main field of regard, virtual image other parts are time field of regard;
The visualization module is additionally configured to improve the image quality of main field of regard and/or reduces the picture matter of time field of regard Amount.
Preferably, further include:
Customer data base, has at least one user data in the customer data base, the user data include ID number, Identity information, age F, standard diopter D0 and interpupillary distance P, the identity information include character string, voice print database, finger print data And/or iris data;
The receiving module is additionally configured to receive verification information from helmet;
Authentication module is configured as verifying verification information and the identity information in the user data, and verifying is logical Later it takes out and using age F, standard diopter D0 and the interpupillary distance P in the user data.
Memory module is configured as storage user data.
The present invention also provides a kind of helmets, comprising:
Communication module is configured to interact with Intelligent terminal data;
Head detector module is configured as the head initial position of calibration user, detects the head form of user;
Sending module is configured as the head initial position of user and head form being sent to intelligent terminal;
Receiving module is configured as receiving best diopter D1;
Adjustment module is configured as adjusting focus-variable lens, and the region for being located at focus-variable lens before the crystalline lens of eyes is bent Luminosity is D1.
Preferably, the receiving module is configured as receiving diopter training lower limit fit_min, the diopter training upper limit Fit_max and diopter training unit fit_offset, the helmet further include:
Training module is configured for:
First round training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min;
Second wheel training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset;
Third round training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset*2;
And so on, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditioning, wherein m is The wheel number trained.
Preferably, further include:
Input module is configured as obtaining verification information;Sending module is additionally configured to verification information being sent to intelligence Terminal.
The invention has the advantages that blinkpunkt of this vision optimization system for wearing display equipment according to eyes of user The best diopter that focus-variable lens are obtained with the standard diopters of eyes, then adjusts accordingly the diopter of focus-variable lens, Purpose is to allow user when watching electron image, and ciliary muscle is in the state loosened as far as possible, effectively prevent ciliary muscle because when long Between remain retracted state, lead to muscle spasmus, guarantee that user uses the health that will not damage eyes when such product.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is the system block diagram of the optimum embodiment of the vision optimization system for wearing display equipment of the invention.
Fig. 2 is the system block diagram of the optimum embodiment of intelligent terminal of the invention.
Fig. 3 is the system block diagram of the optimum embodiment of helmet of the invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", " length ", " width ", " thickness ", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom" "inner", "outside", " axial direction ", The orientation or positional relationship of the instructions such as " radial direction ", " circumferential direction " is to be based on the orientation or positional relationship shown in the drawings, merely to just In description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation, with Specific orientation construction and operation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " etc. are used for description purposes only, it is not understood to indicate or imply relatively important Property.In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " connected ", " connection " are answered It is interpreted broadly, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected;It can be mechanical connect It connects, is also possible to be electrically connected;It can be directly connected, it can also be indirectly connected through an intermediary.For the common of this field For technical staff, the concrete meaning of above-mentioned term in the present invention can be understood with concrete condition.In addition, in description of the invention In, unless otherwise indicated, the meaning of " plurality " is two or more.
As shown in Figure 1, the present invention provides a kind of vision optimization systems for wearing display equipment, comprising:
Visualization module is configured as display electronic image;
Virtual coordinates module is configured as the plane where the virtual image and establishes rectangular coordinate system, the position of the virtual image planar It is fixed;
Initial module is configured as the head initial position of calibration user, and the head of user is in facing for initial position Direction is Q0, and positive apparent direction Q0 is perpendicular to plane where the virtual image and eyes along the sight of positive apparent direction Q0 concentrate on virtual image center On point O, the coordinate of central point is (x0, y0);After equipment starting, the position of the virtual image in the planes is just determined, later not Position can be changed with the change of the positive apparent direction of user;Positive apparent direction refers to what form no matter the head of user be in, Eyes be in always loosen and not to any direction rotate state when direction of visual lines;
Calling module is configured as obtaining the standard diopter D0 of eyes of user, obtain between eyes and virtual image central point O Linear distance be L0;In an example, the standard diopter of eyes of user is stored in the memory that equipment itself has In, calling module calls standard diopter D0 directly from memory.Due to the position phase of focus-variable lens, convex lens and display screen To fixation, then the position of eyes and the virtual image is also determining, then the linear distance between eyes and virtual image central point O is L0 It may be considered a definite value, distance L0 is stored in memory, and calling module calls directly;In another example, standard Diopter D0 is stored in a server, and server accesses internet, is worn display equipment and is also accessed internet, calling module The standard diopter D0 and distance L0 of eyes of user are called from server;
Detection module is faced, the head form of detection user is configured as, obtains user positive apparent direction Q1 in real time;In order to Positive apparent direction when user swings head is determined, using the perpendicular where two when people is upright and head is ajusted as reference Face, reference plane and head are in opposing stationary state always, and the head of people is in three-dimensional system of coordinate, passes through three-axis gyroscope Detect the head form of user, obtained space vector determines the plane where reference plane, the positive apparent direction and ginseng of eyes Show up vertical, to obtain user positive apparent direction Q1 in real time, due to wear display equipment be on a display screen by picture split screen, For 2D image, screen or so two parts play same image simultaneously, and two eyes are watched respectively, and two eyes can divide Although to a virtual image, therefore blinkpunkt O1 is exactly the one eye eyeball from user along the positive apparent direction Q1 ray issued and this eye The intersection point for the virtual image that eyeball is seen;
Best diopter generation module, is configured as obtaining eyes according to distance L0, positive apparent direction Q1 and positive apparent direction Q0 It is L1 in the blinkpunkt O1 in the virtual image and the linear distance between eyes: according to the space vector of positive apparent direction Q1 and positive apparent direction The space vector of Q0 can calculate the angle α between them, since the position of the virtual image is fixed and invariable, positive apparent direction Q0 Perpendicular to plane where the virtual image and eyes concentrate on virtual image central point O along the sight of positive apparent direction Q0, then according to right angle The calculation formula of the side length of triangle, using distance L0 as the length of a right-angle side, angle α is calculated as an acute angle To eyes in the blinkpunkt O1 in the virtual image and the linear distance between eyes between L1 and blinkpunkt O1 and central point O Distance, so that it is determined that the coordinate of blinkpunkt O1, the above process for calculating distance L1 can be carried out when user is using equipment, can also To be calculated in advance, then by the corresponding distance L1 accordingly of different positive apparent directions, list is formed, it is straight when user is using equipment It connects and goes to inquire this table according to positive apparent direction Q1, obtain distance L1 accordingly;
In an example, further include sample analysis module, be configured as counting the eye gaze virtual image of several users Upper difference and when obtaining clearest visual effect, focus-variable lens are located at the diopter in the region before the crystalline lens of eyes D2, according to statistical result using the standard diopter D0 of distance L1 and user as condition, diopter D2 establishes table 1 as a result; Best diopter generation module is configured as obtaining diopter D1 by inquiry table 1 according to distance L1 and standard diopter D0;It adopts The process of sample needs user (can be by an acknowledgement key to one confirmation signal of equipment when obtaining clearest visual effect It is connect with control chip to acquire confirmation signal), equipment receives the focus-variable lens of signal record at this time before the crystalline lens of eyes Region diopter D2, providing confirmation signal can also allow another people and user to cooperate to operate.When establishing table 1, Can also be using the other information of user as condition, in another example, calling module is additionally configured to obtain the year of user Age F, sample analysis module are configured as using the standard diopter D0 of age F, distance L1 and user as condition, and diopter D2 makees Table 1 is established for result, best diopter generation module is configured as according to age F, distance L1 and standard diopter D0 by looking into Inquiry table 1 obtains diopter D1.
In another example, sample analysis module is configured as counting in the eye gaze virtual image of several users different When putting and obtaining clearest visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, according to Statistical result sets maximum distance Lmax, when L1 < Lmax, D1=D0*f1 (L1, F), function f1 are to carry out linearly to statistical result Return the linear function obtained;When L1 >=Lmax, D1=D0*f2 (F), f2 are fixed value corresponding with age F;Best diopter Generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1>=Lmax, D1=D0*f2 (F).Lmax is a fixed Value, for example, when L1 is more than a certain numerical value, the regulating effect that D1 is calculated by function f1 is bad from the point of view of according to statistical result When, using this numerical value as Lmax;
Adjustment module is configured as adjusting focus-variable lens, and the region for being located at focus-variable lens before the crystalline lens of eyes is bent Luminosity is D1;In an example, focus-variable lens are a kind of with multifocal eyeglass, and the different zones on eyeglass have not Same refractive power, mobile focus-variable lens make eyes before so that the region of diopter D1 on focus-variable lens is moved to the eyes of user Reach optimal refractive power with the vision system of focus-variable lens composition;In another example, focus-variable lens are that a kind of centre is set It is equipped with the box body of liquid crystal layer, the two sides of liquid crystal are provided with electrode, control chip controls electrode makes certain pattern, to pattern It is applied different voltage, makes liquid crystal molecule by corresponding aligned transfer, it is real by the crystal molecule refractive index under this arrangement Now certain distribution finally makes liquid crystal cell simulate the function of lens, and according to diopter D1, controller applies image corresponding Voltage, realize focus-variable lens diopter adjusting;
Training threshold value obtains module, is configured as obtaining diopter training lower limit according to standard diopter D0 and diopter D1 Fit_min, diopter training upper limit fit_max and diopter training unit fit_offset;In another example, training threshold Value obtain module be configured as being obtained according to age F, standard diopter D0 and diopter D1 diopter training lower limit fit_min, Diopter trains upper limit fit_max and diopter training unit fit_offset, specifically:
Formula fit_min=f3 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_min of effect as sample carry out The quality of statistics, trained effect is fed back by user, and function f3 is the linear letter that linear regression acquisition is carried out to statistical result Number;
Formula fit_max=f4 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_max of effect as sample carry out The quality of statistics, trained effect is fed back by user, and function f4 is the linear letter that linear regression acquisition is carried out to statistical result Number;
Formula fit_offset=f5 (fit_min, fit_max) is established, function f5 is linear equation.
In another example, calling module is additionally configured to obtain the interpupillary distance P of user, and training threshold value obtains module and matched It is set to and diopter training lower limit fit_min and diopter instruction is obtained according to interpupillary distance P, age F, standard diopter D0 and diopter D1 Practice upper limit fit_max:fit_min=f3 (F, D0, P, D1), formula fit_max=f4 (F, D0, P, D1).
Training module is configured for:
First round training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min;One refers to that the diopter of focus-variable lens is increased continuously from (D1-fit) to (D1+ back and forth Fit it), then from (D1+fit) is increased continuously to (D1-fit), vice versa;
Second wheel training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=fit_max, deconditioning, Otherwise it carries out third round training: adjusting the diopter of focus-variable lens consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset*2;And so on, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditioning, wherein m is the wheel number trained;By training above, do not stop to change lenticular diopter, Really training of a small range to ciliary muscle relaxation, can be effectively improved the bullet of ciliary muscle after training after a period of time Property, it has certain effect to the recovery of vision.
Partition module, is configured as using intersection point O1 as the center of circle, is main field of regard using R as the border circular areas of radius, the virtual image its It is partially time field of regard;
Visualization module is additionally configured to improve the image quality of main field of regard and/or reduces the image quality of time field of regard. In an example, visualization module is configured as improving the image quality of main field of regard, such as improves the pixel, bright of main field of regard Degree, clarity etc. allow user accurately quickly clearly to capture picture of interest;In another example, mould is imaged Block is configured as reducing the image quality of time field of regard, can mitigate the work load of picture reproducer, to the heat for reducing equipment, Saving in energy consumption also has good effect;In another example, visualization module is configured as in the picture for improving main field of regard The image quality of time field of regard is reduced while quality.
Customer data base, has at least one user data in customer data base, and user data includes ID number, identity letter Breath, age F, standard diopter D0 and interpupillary distance P, identity information include character string, voice print database, finger print data and/or iris number According to;User at the beginning using equipment when register, user inputs identity information, such as character string, voice print database, finger print data And/or iris data, ID number user oneself can select or be generated by system, ID number and identity information are bound, character string It can be number, capital and small letter English alphabet, symbol either their combination form, voice print database is acquired by microphone, referred to Line data are acquired by fingerprint sensor, iris data is acquired by camera;After user's registration, equipment can be passed through Control interface on input age F, standard diopter D0 and interpupillary distance P, user can also be by the age F of oneself, standard diopter D0 and interpupillary distance P input by other electronic equipments and are uploaded to server, wear display equipment and obtain from server;
Input module is configured as obtaining verification information, user's starting device, and equipment acquires verification information (equipment acquisition Voice print database, finger print data or iris data) or user by character string Password Input into equipment;
Authentication module is configured as verifying verification information and the identity information in user data, after being verified It takes out and uses age F, standard diopter D0 and the interpupillary distance P in user data.
Memory module is configured as storage user data.
As shown in Fig. 2, it can be iPhone or Samsung Galaxy the present invention also provides a kind of intelligent terminal It connect by S7 smart phone with helmet, and composition wears display equipment, comprising:
Communication module is configured as and helmet data interaction;
Receiving module is configured as obtaining the head initial position of the user of helmet calibration, and display equipment is worn in acquisition Detect the head form of user;
Visualization module is configured as display electronic image;
Virtual coordinates module is configured as the plane where the virtual image and establishes rectangular coordinate system, the position of the virtual image planar It is fixed;
Initial module is configured as the positive apparent direction that the head of user is in initial position being set as Q0, positive apparent direction Q0 Perpendicular to plane where the virtual image and eyes concentrate on virtual image central point O along the sight of positive apparent direction Q0, the coordinate of central point For (x0, y0);After equipment starting, the position of the virtual image in the planes is just determined, later will not be with the side of facing of user To change and change position;Positive apparent direction refers to what form no matter the head of user be in, and eyes are in always to be loosened simultaneously And not to any direction rotate state when direction of visual lines;
Calling module is configured as obtaining the standard diopter D0 of eyes of user, obtain between eyes and virtual image central point O Linear distance be L0;In an example, it is deposited what the standard diopter of eyes of user was stored in that intelligent terminal itself has In reservoir, calling module calls standard diopter D0 directly from memory.After in intelligent terminal setting to helmet, by It is relatively fixed in the position of focus-variable lens, convex lens and display screen, then the position of eyes and the virtual image is also determination, then eye Linear distance between eyeball and virtual image central point O is that L0 may be considered a definite value, and distance L0 is stored in memory, called Module calls directly;In another example, standard diopter D0 is stored in a server, and server accesses internet, Intelligent terminal also accesses internet, and calling module calls the standard diopter D0 and distance L0 of eyes of user from server;
Detection module is faced, is configured as obtaining user positive apparent direction Q1 in real time according to head form;In order to determine use Family swings positive apparent direction when head, using the perpendicular where two when people is upright and head is ajusted as reference plane, ginseng It shows up and is in opposing stationary state always with head, the head of people is in three-dimensional system of coordinate, passes through three in helmet Axis gyroscope detects the head form of user, and obtained space vector determines the plane where reference plane, and eyes are faced Direction is vertical with reference plane, is on a display screen will due to wearing display equipment to obtain user positive apparent direction Q1 in real time Picture split screen, for 2D image, screen or so two parts play same image simultaneously, and two eyes are watched respectively, and two A virtual image can be respectively seen in eyes, therefore blinkpunkt O1 is exactly to penetrate from the one eye eyeball of user along what positive apparent direction Q1 was issued The intersection point for the virtual image that line and this eye are seen;
Best diopter generation module, is configured as obtaining eyes according to distance L0, positive apparent direction Q1 and positive apparent direction Q0 It is L1 in the blinkpunkt O1 in the virtual image and the linear distance between eyes: calculates the folder between positive apparent direction Q1 and positive apparent direction Q0 Angle α, since the position of the virtual image is fixed and invariable, positive apparent direction Q0 is perpendicular to plane where the virtual image and eyes are along positive apparent direction The sight of Q0 concentrates on virtual image central point O, then according to the calculation formula of the side length of right angled triangle, will distance L0 as one Eyes are calculated in the blinkpunkt O1 in the virtual image and straight between eyes as an acute angle in the length of right-angle side, angle α Linear distance is L1 and the distance between blinkpunkt O1 and central point O, so that it is determined that the coordinate of blinkpunkt O1, it is above calculate away from Process from L1 can be carried out when user is using equipment, can also be calculated in advance, then by different positive apparent directions pair Should distance L1 accordingly, form list, user obtains corresponding using directly going to inquire this table according to positive apparent direction Q1 when equipment Distance L1;
In an example, further include sample analysis module, count difference in the eye gaze virtual image of several users And when obtaining clearest visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, according to system Result is counted using the standard diopter D0 of distance L1 and user as condition, diopter D2 establishes table 1 as a result;Best diopter Generation module is configured as obtaining diopter D1 by inquiry table 1 according to distance L1 and standard diopter D0;The process of sampling needs Want user (can be by an acknowledgement key and control chip to one confirmation signal of equipment when obtaining clearest visual effect Connection is to acquire confirmation signal), equipment receives bending for region of the focus-variable lens before the crystalline lens of eyes of signal record at this time Luminosity D2, providing confirmation signal can also allow another people to cooperate with user to operate.When establishing table 1, can also will use The other information at family is as condition, and in another example, calling module is additionally configured to obtain the age F of user, sample point Analysis module is configured as using the standard diopter D0 of age F, distance L1 and user as condition, and diopter D2 is established as a result Table 1, best diopter generation module are configured as being bent according to age F, distance L1 and standard diopter D0 by inquiry table 1 Luminosity D1.
In another example, sample analysis module be configured as according to statistical result set maximum distance Lmax, when L1 < Lmax, D1=D0*f1 (L1, F), function f1 are the linear function that linear regression acquisition is carried out to statistical result;As L1 >=Lmax, D1=D0*f2 (F), f2 are fixed value corresponding with age F, and Lmax is a definite value, for example, working as L1 from the point of view of according to statistical result More than a certain numerical value, when the regulating effect that D1 is calculated by function f1 is bad, using this numerical value as Lmax;Best diopter Generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1>=Lmax, D1=D0*f2 (F).
Sending module is configured as best diopter D1 being sent to helmet;Helmet adjusts focus-variable lens, makes The diopter that focus-variable lens are located at the region before the crystalline lens of eyes is D1;In an example, focus-variable lens are that one kind has Multifocal eyeglass, the different zones on eyeglass have different refractive powers, and mobile focus-variable lens make dioptric on focus-variable lens Degree is before the region of D1 is moved to the eyes of user, and the vision system for forming eyes and focus-variable lens reaches optimal dioptric Power;In another example, focus-variable lens are the box bodys that a kind of centre is provided with liquid crystal layer, and the two sides of liquid crystal are provided with electricity Pole, control chip controls electrode make certain pattern, different voltage are applied to pattern, make liquid crystal molecule by corresponding rule Rule arrangement, certain distribution is realized by the crystal molecule refractive index under this arrangement, finally liquid crystal cell is made to simulate lens Function, according to diopter D1, controller applies corresponding voltage to image, realizes the adjusting of focus-variable lens diopter;
Training threshold value obtains module, is configured as obtaining diopter training lower limit according to standard diopter D0 and diopter D1 Fit_min, diopter training upper limit fit_max and diopter training unit fit_offset;In another example, training threshold Value obtain module be configured as being obtained according to age F, standard diopter D0 and diopter D1 diopter training lower limit fit_min, Diopter trains upper limit fit_max and diopter training unit fit_offset, specifically:
Formula fit_min=f3 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_min of effect as sample carry out The quality of statistics, trained effect is fed back by user, and function f3 is the linear letter that linear regression acquisition is carried out to statistical result Number;
Formula fit_max=f4 (F, D0, D1) is established, by the user of a large amount of all ages and classes F, various criterion diopter D0 Eyes be trained using different best diopter D1 as median after, the preferable fit_max of effect as sample carry out The quality of statistics, trained effect is fed back by user, and function f4 is the linear letter that linear regression acquisition is carried out to statistical result Number;
Formula fit_offset=f5 (fit_min, fit_max) is established, function f5 is linear equation.
In another example, calling module is additionally configured to obtain the interpupillary distance P of user, and training threshold value obtains module and matched It is set to and diopter training lower limit fit_min and diopter instruction is obtained according to interpupillary distance P, age F, standard diopter D0 and diopter D1 Practice upper limit fit_max:fit_min=f3 (F, D0, P, D1), formula fit_max=f4 (F, D0, P, D1).
Sending module is additionally configured to diopter training lower limit fit_min, diopter training upper limit fit_max and dioptric Degree training unit fit_offset is sent to helmet;Helmet carries out following training:
First round training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min;One refers to that the diopter of focus-variable lens is increased continuously from (D1-fit) to (D1+ back and forth Fit it), then from (D1+fit) is increased continuously to (D1-fit), vice versa;
Second wheel training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=fit_max, deconditioning, Otherwise it carries out third round training: adjusting the diopter of focus-variable lens consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset*2;And so on, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditioning, wherein m is the wheel number trained;By training above, do not stop to change lenticular diopter, Really training of a small range to ciliary muscle relaxation, can be effectively improved the bullet of ciliary muscle after training after a period of time Property, it has certain effect to the recovery of vision.
Partition module, is configured as using intersection point O1 as the center of circle, is main field of regard using R as the border circular areas of radius, the virtual image its It is partially time field of regard;
Visualization module is additionally configured to improve the image quality of main field of regard and/or reduces the image quality of time field of regard. In an example, visualization module is configured as improving the image quality of main field of regard, such as improves the pixel, bright of main field of regard Degree, clarity etc. allow user accurately quickly clearly to capture picture of interest;In another example, mould is imaged Block is configured as reducing the image quality of time field of regard, can mitigate the work load of picture reproducer, to the heat for reducing equipment, Saving in energy consumption also has good effect;In another example, visualization module is configured as in the picture for improving main field of regard The image quality of time field of regard is reduced while quality.
Customer data base, has at least one user data in customer data base, and user data includes ID number, identity letter Breath, age F, standard diopter D0 and interpupillary distance P, identity information include character string, voice print database, finger print data and/or iris number According to;User at the beginning using equipment when register, user inputs identity information, such as character string, voice print database, finger print data And/or iris data, ID number user oneself can select or be generated by system, ID number and identity information are bound, character string It can be number, capital and small letter English alphabet, symbol either their combination form, voice print database is acquired by microphone, referred to Line data are acquired by fingerprint sensor, iris data is acquired by camera;After user's registration, equipment can be passed through Control interface on input age F, standard diopter D0 and interpupillary distance P, user can also be by the age F of oneself, standard diopter D0 and interpupillary distance P inputs by other electronic equipments and is uploaded to server, and intelligent terminal is obtained from server;
Receiving module is configured as receiving verification information from helmet;
Authentication module is configured as verifying verification information and the identity information in user data, after being verified It takes out and uses age F, standard diopter D0 and the interpupillary distance P in user data.
Memory module is configured as storage user data.
As shown in figure 3, the present invention also provides a kind of helmets, comprising:
Communication module is configured to interact with Intelligent terminal data;
Head detector module is configured as the head initial position of calibration user, detects the head form of user;
Sending module is configured as the head initial position of user and head form being sent to intelligent terminal;
Receiving module is configured as receiving best diopter D1;
Adjustment module is configured as adjusting focus-variable lens, and the region for being located at focus-variable lens before the crystalline lens of eyes is bent Luminosity is D1.
Receiving module is configured as receiving diopter training lower limit fit_min, diopter training upper limit fit_max and dioptric Spend training unit fit_offset;
Training module is configured for:
First round training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min;
Second wheel training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset;
Third round training: the diopter of focus-variable lens is adjusted consecutive variations n in the section [(D1-fit), (D1+fit)] Back and forth, wherein fit=fit_min+fit_offset*2;
And so on, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditioning, wherein m is The wheel number trained.
Input module is configured as obtaining verification information, and sending module is additionally configured to verification information being sent to intelligence Terminal.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is included at least one embodiment or example of the invention.In the present specification, not to the schematic representation of the term Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any One or more embodiment or examples in can be combined in any suitable manner.
Taking the above-mentioned ideal embodiment according to the present invention as inspiration, through the above description, relevant staff is complete Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention Property range is not limited to the contents of the specification, it is necessary to which the technical scope thereof is determined according to the scope of the claim.

Claims (19)

1. a kind of vision optimization system for wearing display equipment characterized by comprising
Visualization module is configured as display electronic image;
Virtual coordinates module is configured as the plane where the virtual image and establishes rectangular coordinate system, the position of the virtual image planar It is fixed;
Initial module is configured as the head initial position of calibration user, and the head of user is in the side of facing when initial position To for Q0, the positive apparent direction Q0 is perpendicular to plane where the virtual image and eyes concentrate in the virtual image along the sight of positive apparent direction Q0 On heart point O;
Calling module is configured as obtaining the standard diopter D0 of eyes of user, obtain straight between eyes and virtual image central point O Linear distance is L0;
Detection module is faced, the head form of detection user is configured as, obtains user positive apparent direction Q1 in real time;
Best diopter generation module, is configured as obtaining eyes in void according to distance L0, positive apparent direction Q1 and positive apparent direction Q0 As the linear distance between upper blinkpunkt O1 and eyes is L1, obtained according to distance L1 and standard diopter D0 best in real time Diopter D1;
Adjustment module is configured as adjusting focus-variable lens, the diopter in the region for being located at focus-variable lens before the crystalline lens of eyes For D1.
2. wearing the vision optimization system of display equipment as described in claim 1, which is characterized in that further include:
Training threshold value obtains module, is configured as obtaining diopter training lower limit fit_ according to standard diopter D0 and diopter D1 Min, diopter training upper limit fit_max and diopter training unit fit_offset;
Training module is configured for:
First round training: the diopter for adjusting focus-variable lens comes for consecutive variations n in the section [(D1-fit), (D1+fit)] It returns, wherein fit=fit_min;
Second wheel training: the diopter for adjusting focus-variable lens comes for consecutive variations n in the section [(D1-fit), (D1+fit)] It returns, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=fit_max, deconditioning is no Then carry out third round training: the diopter for adjusting focus-variable lens comes for consecutive variations n in the section [(D1-fit), (D1+fit)] It returns, wherein fit=fit_min+fit_offset*2;And so on, until fit=fit_min+fit_offset* (m-1) >= Fit_max just deconditioning, wherein m is the wheel number trained.
3. wearing the vision optimization system of display equipment as claimed in claim 2, it is characterised in that:
The calling module is additionally configured to obtain the age F of user, and the best diopter generation module is configured as basis Age F, distance L1 and standard diopter D0 obtain best diopter D1 in real time;
Training threshold value obtains module and is configured as being obtained according to age F, standard diopter D0 and diopter D1 under diopter training Limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset.
4. wearing the vision optimization system of display equipment as claimed in claim 3, which is characterized in that further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains clearest When visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, will distance L1, use according to statistical result For the standard diopter D0 and age F at family as condition, diopter D2 establishes table 1 as a result;
The best diopter generation module is configured as being obtained according to age F, distance L1 and standard diopter D0 by inquiry table 1 To diopter D1.
5. wearing the vision optimization system of display equipment as claimed in claim 3, which is characterized in that further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains clearest When visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, set most long distance according to statistical result From Lmax, when L1 < Lmax, D1=D0*f1 (L1, F), function f1 are the linear letter for carrying out linear regression acquisition to statistical result Number;When L1 >=Lmax, D1=D0*f2 (F), f2 are fixed value corresponding with age F;
The best diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1>=Lmax, D1= D0*f2(F)。
6. wearing the vision optimization system of display equipment as described in claim 4 or 5, it is characterised in that: the trained threshold value Module is obtained to be configured as:
Formula fit_min=f3 (F, D0, D1) is established, by the eye of the user of a large amount of all ages and classes F, various criterion diopter D0 After eyeball is trained using different best diopter D1 as median, the preferable fit_min of effect is counted as sample, Function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is established, by the eye of the user of a large amount of all ages and classes F, various criterion diopter D0 After eyeball is trained using different best diopter D1 as median, the preferable fit_max of effect is counted as sample, Function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is established, function f5 is linear equation.
7. as claimed in claim 6 wear display equipment vision optimization system, it is characterised in that: the calling module also by It is configured to obtain the interpupillary distance P of user;
The trained threshold value obtains module and is configured as: establishing formula fit_min=f3 (F, D0, P, D1), establishes formula fit_ Max=f4 (F, D0, P, D1).
8. wearing the vision optimization system of display equipment as claimed in claim 7, it is characterised in that: it further include partition module, It is configured as using intersection point O1 as the center of circle, is main field of regard by the border circular areas of radius of R, virtual image other parts are time field of regard;
The visualization module is additionally configured to improve the image quality of main field of regard and/or reduces the image quality of time field of regard.
9. wearing the vision optimization system of display equipment as claimed in claim 8, it is characterised in that: further include user data Library, has at least one user data in the customer data base, the user data include ID number, identity information, age F, Standard diopter D0 and interpupillary distance P, the identity information include character string, voice print database, finger print data and/or iris data.
10. wearing the vision optimization system of display equipment as claimed in claim 9, which is characterized in that further include:
Input module is configured as obtaining verification information;
Authentication module is configured as verifying verification information and the identity information in the user data, after being verified It takes out and uses age F, standard diopter D0 and the interpupillary distance P in the user data;
Memory module is configured as storage user data.
11. a kind of intelligent terminal characterized by comprising
Communication module is configured as and helmet data interaction;
Receiving module is configured as obtaining the head initial position of the user of helmet calibration, and display equipment detection is worn in acquisition The head form of user;
Visualization module is configured as display electronic image;
Virtual coordinates module is configured as the plane where the virtual image and establishes rectangular coordinate system, the position of the virtual image planar It is fixed;
Initial module is configured as the positive apparent direction that the head of user is in initial position being set as Q0, the positive apparent direction Q0 Perpendicular to plane where the virtual image and eyes concentrate on virtual image central point O along the sight of positive apparent direction Q0;
Calling module is configured as obtaining the standard diopter D0 of eyes of user, obtain straight between eyes and virtual image central point O Linear distance is L0;
Detection module is faced, is configured as obtaining user positive apparent direction Q1 in real time according to head form;
Best diopter generation module, is configured as obtaining eyes in void according to distance L0, positive apparent direction Q1 and positive apparent direction Q0 As the linear distance between upper blinkpunkt O1 and eyes is L1, obtained according to distance L1 and standard diopter D0 best in real time Diopter D1;
Sending module is configured as best diopter D1 being sent to helmet.
12. intelligent terminal as claimed in claim 11, which is characterized in that further include:
Training threshold value obtains module, is configured as obtaining diopter training lower limit fit_ according to standard diopter D0 and diopter D1 Min, diopter training upper limit fit_max and diopter training unit fit_offset;
The sending module is additionally configured to diopter training lower limit fit_min, diopter training upper limit fit_max and dioptric Degree training unit fit_offset is sent to helmet.
13. intelligent terminal as claimed in claim 12, it is characterised in that:
The calling module is additionally configured to obtain the age F of user, and the best diopter generation module is configured as basis Age F, distance L1 and standard diopter D0 obtain best diopter D1 in real time;
Training threshold value obtains module and is configured as being obtained according to age F, standard diopter D0 and diopter D1 under diopter training Limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset.
14. intelligent terminal as claimed in claim 13, which is characterized in that further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains clearest When visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, will distance L1, use according to statistical result For the standard diopter D0 and age F at family as condition, diopter D2 establishes table 1 as a result;
The best diopter generation module is configured as being obtained according to age F, distance L1 and standard diopter D0 by inquiry table 1 To diopter D1.
15. intelligent terminal as claimed in claim 13, which is characterized in that further include:
Sample analysis module is configured as counting difference in the eye gaze virtual image of several users and obtains clearest When visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, set most long distance according to statistical result From Lmax, when L1 < Lmax, D1=D0*f1 (L1, F), function f1 are the linear letter for carrying out linear regression acquisition to statistical result Number;When L1 >=Lmax, D1=D0*f2 (F), f2 are fixed value corresponding with age F;
The best diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1>=Lmax, D1= D0*f2(F)。
16. the intelligent terminal as described in claims 14 or 15, it is characterised in that: the trained threshold value obtains module and is configured Are as follows:
Formula fit_min=f3 (F, D0, D1) is established, by the eye of the user of a large amount of all ages and classes F, various criterion diopter D0 After eyeball is trained using different best diopter D1 as median, the preferable fit_min of effect is counted as sample, Function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is established, by the eye of the user of a large amount of all ages and classes F, various criterion diopter D0 After eyeball is trained using different best diopter D1 as median, the preferable fit_max of effect is counted as sample, Function f4 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_offset=f5 (fit_min, fit_max) is established, function f5 is linear equation.
17. intelligent terminal as claimed in claim 16, it is characterised in that: the calling module is additionally configured to obtain user's Interpupillary distance P;
The trained threshold value obtains module and is configured as: establishing formula fit_min=f3 (F, D0, P, D1), establishes formula fit_ Max=f4 (F, D0, P, D1).
18. intelligent terminal as claimed in claim 17, it is characterised in that: further include partition module, be configured as with intersection point O1 It is main field of regard by the border circular areas of radius of R for the center of circle, virtual image other parts are time field of regard;
The visualization module is additionally configured to improve the image quality of main field of regard and/or reduces the image quality of time field of regard.
19. intelligent terminal as claimed in claim 18, which is characterized in that further include:
Customer data base has at least one user data in the customer data base, and the user data includes ID number, identity Information, age F, standard diopter D0 and interpupillary distance P, the identity information include character string, voice print database, finger print data and/or Iris data;
The receiving module is additionally configured to receive verification information from helmet;
Authentication module is configured as verifying verification information and the identity information in the user data, after being verified It takes out and uses age F, standard diopter D0 and the interpupillary distance P in the user data;
Memory module is configured as storage user data.
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Publication number Priority date Publication date Assignee Title
CN109445128B (en) * 2019-01-02 2020-04-07 京东方科技集团股份有限公司 Glasses and method for adjusting incident light of eyes
CN110007475A (en) * 2019-04-17 2019-07-12 万维云视(上海)数码科技有限公司 Utilize the method and apparatus of virtual depth compensation eyesight
CN110308560A (en) * 2019-07-03 2019-10-08 南京玛克威信息科技有限公司 The control method of VR equipment
CN112649960B (en) * 2020-12-08 2021-10-26 复旦大学 Accurate adjusting method for diopter of virtual reality glasses

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5737012A (en) * 1994-12-01 1998-04-07 Olympus Optical Co., Ltd. Head mounted image display apparatus and image forming apparatus related thereto
CN101080691A (en) * 2004-12-14 2007-11-28 松下电器产业株式会社 Information presentation device and information presentation method
CN104850138A (en) * 2015-04-22 2015-08-19 江苏健视加视觉科技有限公司 Intelligent control zooming training device
CN105388614A (en) * 2014-09-01 2016-03-09 三星电子株式会社 Head-mounted display apparatus
CN105929534A (en) * 2015-10-26 2016-09-07 北京蚁视科技有限公司 Diopter self-adaptive head-mounted display device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3219534B2 (en) * 1993-04-16 2001-10-15 キヤノン株式会社 Optical device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5737012A (en) * 1994-12-01 1998-04-07 Olympus Optical Co., Ltd. Head mounted image display apparatus and image forming apparatus related thereto
CN101080691A (en) * 2004-12-14 2007-11-28 松下电器产业株式会社 Information presentation device and information presentation method
CN105388614A (en) * 2014-09-01 2016-03-09 三星电子株式会社 Head-mounted display apparatus
CN104850138A (en) * 2015-04-22 2015-08-19 江苏健视加视觉科技有限公司 Intelligent control zooming training device
CN105929534A (en) * 2015-10-26 2016-09-07 北京蚁视科技有限公司 Diopter self-adaptive head-mounted display device

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