CN107037592A - Wear vision optimization system, intelligent terminal and the helmet of display device - Google Patents

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

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Publication number
CN107037592A
CN107037592A CN201710474425.XA CN201710474425A CN107037592A CN 107037592 A CN107037592 A CN 107037592A CN 201710474425 A CN201710474425 A CN 201710474425A CN 107037592 A CN107037592 A CN 107037592A
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diopter
fit
module
user
training
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CN107037592B (en
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曾雪骢
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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 OR 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

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Optics & Photonics (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Rehabilitation Tools (AREA)

Abstract

Optimize system the invention provides a kind of vision for wearing display device, including:Visualization module, is configured as display electronic image;Virtual coordinates module, is configured as the plane where the virtual image and sets up rectangular coordinate system, the position of the virtual image planar is fixed;This vision optimization system for wearing display device obtains the optimal diopter of focus-variable lens according to the blinkpunkt of eyes of user and the standard diopter of eyes, then the diopter of focus-variable lens is correspondingly adjusted, purpose is to allow user when watching electron image, ciliary muscle is tried one's best in the state loosened, ciliary muscle is effectively prevented because remaining retracted state for a long time, cause muscle spasmus, it is ensured that user is using will not damage the health of eyes during such product.

Description

Wear vision optimization system, intelligent terminal and the helmet of display device
Technical field
The present invention relates to wearing display device technical field, more particularly to a kind of vision optimization system for wearing display device System, intelligent terminal and helmet.
Background technology
Wearing display device includes:Virtual reality (VR) display, such as by Sony, Samsung, Oculus, Those manufactured by CarlZeiss;Head mounted display (HMD), those such as produced by Google and Vuzix;Enhancing Real (AR) display, such as those manufactured by Microsoft, Vuzix and DigiLens;And mixing enhancing (MR) etc. Other similar devices.This kind equipment is visual " feeling of immersion " to the most important experience of user, allows image content to cover completely Your visual field is covered, is not disturbed by actual environment, is seemingly immersed among another world, principle is by two pieces of convex lens The virtual image of an electron image is produced in the homonymy of electronic curtain, user sees bigger than actual electron image through convex lens The virtual image, and the virtual image is close apart from the eyes of user, and therefore electron image covers the visual field of user.
There is a 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, just as the person of low position of a pulling force, is being hauled Crystalline lens changes its thickness, and to adjust the scenery of distance, imaging is on the retina.What crystalline lens can be deformed equivalent to one Convex lens, ciliary muscle changes lenticular shape to adjust lenticular diopter, and when ciliary muscle loosens, crystalline lens is drawn Flat thinning, diopter diminishes, at this moment it may be seen that the scenery of distant place, when ciliary muscle contraction, crystalline lens is thickening, bends Luminosity is uprised, when being at this moment exactly that we will see nearby scenery.If the state long time that ciliary muscle is remained retracted, just hold Easy muscle spasmus, ciliary muscle will deform, and adjust lenticular ability and decline, crystalline lens is also deformed therewith, causes crystalline lens Standard diopter (under ciliary muscle relaxation state) is improved, and the adjustable range of diopter declines, just into the myopia being commonly called as.
Although head-mounted display apparatus can give people feeling of immersion on the spot in person, the virtual image of electron image is apart from eyeball Closer, equivalent to the viewing electronic curtain kept closely, ciliary muscle will be nervous for a long time as holding described above State, causes myopia.
The content of the invention
The technical problem to be solved in the present invention is:When being used for head-mounted display apparatus at present on the market for user Between it is long, eyes produce fatigue, and the problem of causing visual impairment do not have effective solution, worn the invention provides one kind The vision of display device optimizes system, intelligent terminal and helmet to solve the above problems.
The technical solution adopted for the present invention to solve the technical problems is:A kind of vision optimization system for wearing display device System, including:
Visualization module, is configured as display electronic image;
Virtual coordinates module, be configured as the plane where the virtual image and set up rectangular coordinate system, and the virtual image is planar Position is fixed;
Initial module, is configured as demarcating the head initial position of user, when the head of user is in initial position just Apparent direction is Q0, and sights of the positive apparent direction Q0 perpendicular to plane and eyes where the virtual image along positive apparent direction Q0 concentrates on void On inconocenter point O;
Calling module, is configured as obtaining the standard diopter D0 of eyes of user, obtains between eyes and virtual image central point O Air line distance be L0;
Detection module is faced, is configured as detecting the head form of user, user positive apparent direction Q1 in real time is obtained;
Optimal diopter generation module, is configured as obtaining eyes according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0 The air line distance between blinkpunkt O1 and eyes in the virtual image is L1, is obtained in real time according to apart from L1 and standard diopter D0 Optimal diopter D1;
Adjustment module, is configured as adjusting focus-variable lens, makes bending for region of the focus-variable lens before the crystalline lens of eyes Luminosity is D1.
Preferably, also including:
Threshold value acquisition module is trained, 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:
The first round trains:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min;
Second wheel training:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=fit_max, deconditioning, Otherwise third round training is carried out:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset*2;By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is the wheel number trained.
As preferred:
The calling module is additionally configured to obtain the age F of user, and the optimal diopter generation module is configured as Optimal diopter D1 in real time is obtained according to age F, apart from L1 and standard diopter D0;
Training threshold value acquisition module 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, also including:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain it is most clear During 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 L1, the standard diopter D0 of user and age F are as condition, and diopter D2 sets up table 1 as a result;
The optimal diopter generation module is configured as passing through inquiry according to age F, apart from L1 and standard diopter D0 Table 1 obtains diopter D1.
Preferably, also including:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain it is most clear During 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 setting most Remote Lmax, works as L1<Lmax, D1=D0*f1 (L1, F), function f1 are to carry out the linear of linear regression acquisition to statistical result Function;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1 =D0*f2 (F).
As preferred:The training threshold value acquisition module is configured as:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample Statistics, function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample Statistics, 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 set up, function f5 is linear equation.
As preferred:The calling module is additionally configured to obtain the interpupillary distance P of user;
The training threshold value acquisition module is configured as:Formula fit_min=f3 (F, D0, P, D1) is set up, formula is set up Fit_max=f4 (F, D0, P, D1).
As preferred:Also include partition module, be configured as using intersection point O1 as the center of circle, the border circular areas using R as radius is 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 the picture matter of reduction time field of regard Amount.
As preferred:Also include having at least one user data, the use in customer data base, the customer data base User data includes No. ID, 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, also including:
Input module, is configured as obtaining checking information;
Authentication module, is configured as being verified checking information with the identity information in the user data, and checking is logical Later take out and using age F, standard diopter D0 and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
Present invention also offers a kind of intelligent terminal, 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 demarcation, and display device is worn in acquisition Detect the head form of user;
Visualization module, is configured as display electronic image;
Virtual coordinates module, be configured as the plane where the virtual image and set up 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 to Q0, the side of facing Sight to Q0 perpendicular to plane and eyes where the virtual image along positive apparent direction Q0 is concentrated on virtual image central point O;
Calling module, is configured as obtaining the standard diopter D0 of eyes of user, obtains between eyes and virtual image central point O Air line distance be L0;
Detection module is faced, is configured as obtaining user positive apparent direction Q1 in real time according to head form;
Optimal diopter generation module, is configured as obtaining eyes according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0 The air line distance between blinkpunkt O1 and eyes in the virtual image is L1, is obtained in real time according to apart from L1 and standard diopter D0 Optimal diopter D1;
Sending module, is configured as sending optimal diopter D1 to helmet.
Preferably, also including:
Threshold value acquisition module is trained, 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 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 optimal diopter generation module is configured as Optimal diopter D1 in real time is obtained according to age F, apart from L1 and standard diopter D0;
Training threshold value acquisition module 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, also including:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain it is most clear During 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 L1, the standard diopter D0 of user and age F are as condition, and diopter D2 sets up table 1 as a result;
The optimal diopter generation module is configured as passing through inquiry according to age F, apart from L1 and standard diopter D0 Table 1 obtains diopter D1.
Preferably, also including:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain it is most clear During 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 setting most Remote Lmax, works as L1<Lmax, D1=D0*f1 (L1, F), function f1 are to carry out the linear of linear regression acquisition to statistical result Function;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1 =D0*f2 (F).
As preferred:The training threshold value acquisition module is configured as:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample Statistics, function f3 is the linear function that linear regression acquisition is carried out to statistical result;
Formula fit_max=f4 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample Statistics, 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 set up, function f5 is linear equation.
As preferred:The calling module is additionally configured to obtain the interpupillary distance P of user;
The training threshold value acquisition module is configured as:Formula fit_min=f3 (F, D0, P, D1) is set up, formula is set up Fit_max=f4 (F, D0, P, D1).
As preferred:Also include partition module, be configured as using intersection point O1 as the center of circle, the border circular areas using R as radius is 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 the picture matter of reduction time field of regard Amount.
Preferably, also including:
Have at least one user data in customer data base, the customer data base, the user data include No. ID, 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 checking information from helmet;
Authentication module, is configured as being verified checking information with the identity information in the user data, and checking is logical Later take out and using age F, standard diopter D0 and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
Present invention also offers a kind of helmet, including:
Communication module, is configured to interact with Intelligent terminal data;
Head detector module, is configured as demarcating the head initial position of user, detects the head form of user;
Sending module, is configured as sending the head initial position and head form of user to intelligent terminal;
Receiving module, is configured as receiving optimal diopter D1;
Adjustment module, is configured as adjusting focus-variable lens, makes bending for region of the focus-variable lens before the crystalline lens of eyes 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 also includes:
Training module, is configured for:
The first round trains:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min;
Second wheel training:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset;
Third round is trained:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is The wheel number trained.
Preferably, also including:
Input module, is configured as obtaining checking information;Sending module is additionally configured to send checking information to intelligence Terminal.
The beneficial effects of the invention are as follows this vision for wearing display device optimizes blinkpunkt of the system according to eyes of user The optimal diopter of focus-variable lens is obtained with the standard diopter of eyes, the diopter of focus-variable lens is then correspondingly adjusted, Purpose is to allow user when watching electron image, and ciliary muscle is tried one's best in the state loosened, and effectively prevents ciliary muscle because when long Between remain retracted state, cause muscle spasmus, it is ensured that user is using will not damage the health of eyes during such product.
Brief description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is the system block diagram of the optimum embodiment of the vision for the wearing display device optimization system of the present invention.
Fig. 2 is the system block diagram of the optimum embodiment of the intelligent terminal of the present invention.
Fig. 3 is the system block diagram of the optimum embodiment of the helmet of the present invention.
Embodiment
Embodiments of the invention are described below in detail, the example of the embodiment is shown in the drawings, wherein from beginning to end Same or similar label represents same or similar element or the element with same or like function.Below with reference to attached The embodiment of figure description is exemplary, is only used for explaining the present invention, and is not considered as limiting the invention.
In the description of the invention, it is to be understood that term " " center ", " longitudinal direction ", " transverse direction ", " length ", " width ", " thickness ", " on ", " under ", "front", "rear", "left", "right", " vertical ", " level ", " top ", " bottom " " interior ", " outer ", " axial direction ", The orientation or position relationship of the instructions such as " radial direction ", " circumference " are based on orientation shown in the drawings or position relationship, merely to just In the description present invention and simplify description, rather than indicate or imply signified device or element must have specific orientation, with Specific azimuth configuration and operation, therefore be not considered as limiting the invention.
In addition, term " first ", " second " etc. are only used for describing purpose, and it is not intended that indicating or implying relatively important Property.In the description of the invention, it is necessary to which explanation, unless otherwise clearly defined and limited, term " connected ", " connection " should It is interpreted broadly, for example, it may be being fixedly connected or being detachably connected, or is integrally connected;Can be that machinery connects Connect or electrically connect;Can be joined directly together, can also be indirectly connected to by intermediary.For the common of this area 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, " multiple " are meant that two or more.
As shown in figure 1, optimize system the invention provides a kind of vision for wearing display device, including:
Visualization module, is configured as display electronic image;
Virtual coordinates module, is configured as the plane where the virtual image and sets up rectangular coordinate system, the position of the virtual image planar It is fixed;
Initial module, is configured as demarcating the head initial position of user, and the head of user is in facing for initial position Direction is Q0, and sights of the positive apparent direction Q0 perpendicular to plane and eyes where the virtual image along positive apparent direction Q0 concentrates on virtual image center On point O, the coordinate of central point is (x0, y0);After equipment starts, the position of the virtual image in the planes is just determined, afterwards 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 all the time in the state loosened and do not rotated to any direction when direction of visual lines;
Calling module, is configured as obtaining the standard diopter D0 of eyes of user, obtains between eyes and virtual image central point O Air line distance be L0;In an example, the standard diopter of eyes of user is stored in the memory that equipment has in itself In, calling module directly calls standard diopter D0 from memory.Due to the position phase of focus-variable lens, convex lens and display screen To fixation, then what the position of eyes and the virtual image was also to determine, then the air line distance between eyes and virtual image central point O is L0 A definite value is may be considered, apart from L0 storages in memory, calling module is directly invoked;In another example, standard Diopter D0 is stored in a server, server access internet, is worn display device and is also accessed internet, calling module The standard diopter D0 of eyes of user is called from server and apart from L0;
Detection module is faced, is configured as detecting the head form of user, user positive apparent direction Q1 in real time is obtained;In order to Positive apparent direction when user swings head is determined, the perpendicular at two places when people is upright and head is ajusted is regard as reference Face, reference plane is in the state of geo-stationary with head all the time, and the head of people is in three-dimensional system of coordinate, passes through three-axis gyroscope To detect the head form of user, obtained space vector determines the plane where reference plane, positive apparent direction and the ginseng of eyes Show up vertical, so as to obtain user positive apparent direction Q1 in real time, due to wear display device be on a display screen by picture split screen, For 2D images, 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 ray and this eye sent from the eyes of user along positive apparent direction Q1 The intersection point for the virtual image that eyeball is seen;
Optimal diopter generation module, is configured as obtaining eyes according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0 The air line distance between blinkpunkt O1 and eyes in the virtual image is L1:According to positive apparent direction Q1 space vector and positive apparent direction Q0 space vector can just calculate the angle α between them, because the position of the virtual image is changeless, positive apparent direction Q0 Sight perpendicular to plane and eyes where the virtual image along positive apparent direction Q0 is concentrated on virtual image central point O, then according to right angle The calculation formula of the length of side of triangle, using, as the length of a right-angle side, angle α calculates as an acute angle apart from L0 It is between L1, and blinkpunkt O1 and central point O to the air line distance between blinkpunkt O1 of the eyes in the virtual image and eyes Distance, so that it is determined that blinkpunkt O1 coordinate, above calculating can be carried out apart from L1 process when user is using equipment, also may be used Calculated with advance, different positive apparent direction correspondences is then formed into list accordingly apart from L1, it is straight when user is using equipment Connect and gone to inquire about this table according to positive apparent direction Q1, obtain corresponding apart from L1;
In an example, in addition to sample analysis module, it is configured as counting the eye gaze virtual image of several users Upper difference and obtain most clearly visual effect when, focus-variable lens be located at eyes crystalline lens before region diopter D2, according to statistical result using, as condition, diopter D2 sets up table 1 as a result apart from L1 and user standard diopter D0; Optimal diopter generation module is configured as obtaining diopter D1 by inquiry table 1 according to apart from L1 and standard diopter D0;Adopt The process of sample needs user (can be by an acknowledgement key to one confirmation signal of equipment when obtaining most clearly visual effect It is connected to gather confirmation signal with control chip), equipment receives the focus-variable lens of signal record now before the crystalline lens of eyes Region diopter D2, providing confirmation signal can also allow another people and user to coordinate to be operated.When setting up 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 is configured as being used as condition, diopter D2 works using age F, apart from the standard diopter D0 of L1 and user Table 1 is set up for result, optimal diopter generation module is configured as according to age F, apart from L1 and standard diopter D0 by looking into Inquiry table 1 obtains diopter D1.
In another example, sample analysis module is configured as counting different in the eye gaze virtual image of several users Point and obtain most clearly visual effect when, focus-variable lens be located at eyes crystalline lens before region diopter D2, according to Statistical result sets maximum distance Lmax, works as L1<Lmax, D1=D0*f1 (L1, F), function f1 are that statistical result is carried out linearly Return the linear function obtained;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;Optimal diopter Generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1=D0*f2 (F).Lmax is individual fixed Value, for example, from the point of view of according to statistical result, when L1 exceedes a certain numerical value, the regulating effect for obtaining D1 by function f1 calculating is not good When, it regard this numerical value as Lmax;
Adjustment module, is configured as adjusting focus-variable lens, makes bending for region of the focus-variable lens before the crystalline lens of eyes 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 diopter on focus-variable lens be moved to for D1 region before the eyes of user, make eyes The vision system constituted with focus-variable lens reaches optimal refractive power;In another example, focus-variable lens are set in the middle of one kind The box body of liquid crystal layer is equipped with, electrode is provided with the both sides of liquid crystal, control chip coordination electrode makes certain pattern, to pattern Be applied in different voltages, make liquid crystal molecule by corresponding aligned transfer, by arranging herein under crystal molecule refractive index it is real Now certain distribution, the final function of causing liquid crystal cell to simulate lens, according to diopter D1, controller applies corresponding to image Voltage, realize the regulation of focus-variable lens diopter;
Threshold value acquisition module is trained, 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, threshold is trained Value acquisition module be configured as according to age F, standard diopter D0 and diopter D1 obtain diopter training lower limit fit_min, Diopter trains upper limit fit_max and diopter training unit fit_offset, is specially:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample Statistics, the quality of the effect of training 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 set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample Statistics, the quality of the effect of training 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 set up, function f5 is linear equation.
In another example, calling module be additionally configured to obtain user interpupillary distance P, training threshold value acquisition module by with 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:
The first round trains:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min;One diopter for referring to focus-variable lens back and forth is continuously incremented to (D1+ from (D1-fit) Fit (D1-fit) continuously), then from (D1+fit) is incremented to, vice versa;
Second wheel training:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=fit_max, deconditioning, Otherwise third round training is carried out:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset*2;By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is the wheel number trained;Trained more than, 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 while Property, the recovery to vision has certain effect.
Partition module, is configured as using intersection point O1 as the center of circle, and the border circular areas using R as radius is main field of regard, the virtual image its It is partly time field of regard;
Visualization module is additionally configured to improve the image quality of main field of regard and/or the image quality of reduction time field of regard. In an example, visualization module is configured as improving the image quality of main field of regard, for example, improve the pixel, bright of main field of regard Degree, definition 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, the heat to reducing equipment, Saving in energy consumption also has good effect;In another example, visualization module is configured as improving the picture of main field of regard The image quality of time field of regard is reduced while quality.
There is at least one user data in customer data base, customer data base, user data includes No. ID, 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 registered, user input identity information, such as character string, voice print database, finger print data And/or iris data, ID user can oneself selection can also be generated by system, No. ID with identity information bind, character string Can be numeral, capital and small letter English alphabet, symbol either combinations thereof form, voice print database is gathered by microphone, referred to Line data are gathered by fingerprint sensor, iris data is gathered 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 are inputted and uploaded onto the server by other electronic equipments, are worn display device and are obtained from server;
Input module, is configured as obtaining checking information, user's starting device, equipment collection checking information (equipment collection Voice print database, finger print data or iris data) or user by character string Password Input into equipment;
Authentication module, is configured as being verified checking information with the identity information in user data, after being verified Take out and use age F, standard diopter D0 and the interpupillary distance P in user data.
Memory module, is configured as storing user data.
As shown in Fig. 2 present invention also offers a kind of intelligent terminal, it can be an iPhone or Samsung Galaxy S7 smart mobile phones, it is connected with helmet, and composition wears display device, 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 demarcation, and display device 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 sets up 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 to Q0, positive apparent direction Q0 Sight perpendicular to plane and eyes where the virtual image along positive apparent direction Q0 is concentrated on virtual image central point O, the coordinate of central point For (x0, y0);After equipment starts, the position of the virtual image in the planes is just determined, afterwards 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 all the time to be loosened simultaneously And do not rotate to any direction state when direction of visual lines;
Calling module, is configured as obtaining the standard diopter D0 of eyes of user, obtains between eyes and virtual image central point O Air line distance be L0;In an example, by depositing that the standard diopter of eyes of user is stored in that intelligent terminal has in itself In reservoir, calling module directly calls standard diopter D0 from memory.After intelligent terminal is set onto helmet, by It is relatively fixed in the position of focus-variable lens, convex lens and display screen, then what the position of eyes and the virtual image was also to determine, then eye Air line distance between eyeball and virtual image central point O may be considered a definite value for L0, apart from L0 storages in memory, call Module is directly invoked;In another example, standard diopter D0 is stored in a server, server access internet, Intelligent terminal also accesses internet, and calling module calls the standard diopter D0 of eyes of user and apart from L0 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 to use Family swings positive apparent direction during head, regard the perpendicular at two places when people is upright and head is ajusted as reference plane, ginseng Show up and be in the state of geo-stationary all the time with head, the head of people is in three-dimensional system of coordinate, passes through three in helmet Axle gyroscope detects the head form of user, 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 device so as to obtain user positive apparent direction Q1 in real time Picture split screen, for 2D images, screen or so two parts play same image simultaneously, and two eyes are watched respectively, and two Eyes can be respectively seen a virtual image, therefore blinkpunkt O1 is exactly from the eyes of user along penetrating that positive apparent direction Q1 is sent The intersection point for the virtual image that line is seen with this eye;
Optimal diopter generation module, is configured as obtaining eyes according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0 The air line distance between blinkpunkt O1 and eyes in the virtual image is L1:Calculate the folder between positive apparent direction Q1 and positive apparent direction Q0 Angle α, due to the position of the virtual image be it is changeless, positive apparent direction Q0 where the virtual image plane and eyes along positive apparent direction Q0 sight is concentrated on virtual image central point O, then according to the calculation formula of the length of side of right angled triangle, will be used as one apart from L0 The length of bar right-angle side, angle α is calculated and obtains straight between blinkpunkt O1 and eyes of the eyes in the virtual image as an acute angle Linear distance is L1, and the distance between blinkpunkt O1 and central point O, so that it is determined that blinkpunkt O1 coordinate, the 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 be corresponding apart from L1, list is formed, user obtains corresponding using directly going to inquire about this table according to positive apparent direction Q1 during equipment Apart from L1;
In an example, in addition to sample analysis module, difference in the eye gaze virtual image of several users is counted And obtain most clearly visual effect when, focus-variable lens be located at eyes crystalline lens before region diopter D2, according to system Result is counted using, as condition, diopter D2 sets up table 1 as a result apart from L1 and user standard diopter D0;Optimal diopter Generation module is configured as obtaining diopter D1 by inquiry table 1 according to apart from L1 and standard diopter D0;The process of sampling is needed Want user (can be by an acknowledgement key and control chip to one confirmation signal of equipment when obtaining most clearly visual effect Connect to gather confirmation signal), equipment receives bending for region of the focus-variable lens of signal record now before the crystalline lens of eyes Luminosity D2, providing confirmation signal can also allow another people to coordinate to be operated with user.When setting up table 1, it will can also 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 age F, apart from L1 and user standard diopter D0 as condition, diopter D2 is set up as a result Table 1, optimal diopter generation module is configured as being bent by inquiry table 1 according to age F, apart from L1 and standard diopter D0 Luminosity D1.
In another example, sample analysis module is configured as setting maximum distance Lmax according to statistical result, works as 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, from the point of view of according to statistical result, working as L1 More than a certain numerical value, calculated by function f1 obtain D1 regulating effect it is not good when, regard this numerical value as Lmax;Optimal 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 sending optimal diopter D1 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 Spend and be moved to for D1 region before the eyes of user, the vision system that eyes are constituted with focus-variable lens is reached 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 both sides of liquid crystal are provided with electricity Pole, control chip coordination electrode makes certain pattern, and different voltages are applied in pattern, makes liquid crystal molecule by corresponding rule Rule arrangement, the crystal molecule refractive index lower by arranging herein realizes certain distribution, final so that liquid crystal cell simulates lens Function, according to diopter D1, controller applies corresponding voltage to image, realizes the regulation of focus-variable lens diopter;
Threshold value acquisition module is trained, 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, threshold is trained Value acquisition module be configured as according to age F, standard diopter D0 and diopter D1 obtain diopter training lower limit fit_min, Diopter trains upper limit fit_max and diopter training unit fit_offset, is specially:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_min of effect is carried out as sample Statistics, the quality of the effect of training 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 set up, by substantial amounts of all ages and classes F, various criterion diopter D0 user Eyes be trained using different optimal diopter D1 as median after, the preferable fit_max of effect is carried out as sample Statistics, the quality of the effect of training 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 set up, function f5 is linear equation.
In another example, calling module be additionally configured to obtain user interpupillary distance P, training threshold value acquisition module by with 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 train:
The first round trains:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min;One diopter for referring to focus-variable lens back and forth is continuously incremented to (D1+ from (D1-fit) Fit (D1-fit) continuously), then from (D1+fit) is incremented to, vice versa;
Second wheel training:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset;If fit_min+fit_offset >=fit_max, deconditioning, Otherwise third round training is carried out:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset*2;By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is the wheel number trained;Trained more than, 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 while Property, the recovery to vision has certain effect.
Partition module, is configured as using intersection point O1 as the center of circle, and the border circular areas using R as radius is main field of regard, the virtual image its It is partly time field of regard;
Visualization module is additionally configured to improve the image quality of main field of regard and/or the image quality of reduction time field of regard. In an example, visualization module is configured as improving the image quality of main field of regard, for example, improve the pixel, bright of main field of regard Degree, definition 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, the heat to reducing equipment, Saving in energy consumption also has good effect;In another example, visualization module is configured as improving the picture of main field of regard The image quality of time field of regard is reduced while quality.
There is at least one user data in customer data base, customer data base, user data includes No. ID, 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 registered, user input identity information, such as character string, voice print database, finger print data And/or iris data, ID user can oneself selection can also be generated by system, No. ID with identity information bind, character string Can be numeral, capital and small letter English alphabet, symbol either combinations thereof form, voice print database is gathered by microphone, referred to Line data are gathered by fingerprint sensor, iris data is gathered 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 are inputted and uploaded onto the server by other electronic equipments, and intelligent terminal is obtained from server;
Receiving module is configured as receiving checking information from helmet;
Authentication module, is configured as being verified checking information with the identity information in user data, after being verified Take out and use age F, standard diopter D0 and the interpupillary distance P in user data.
Memory module, is configured as storing user data.
As shown in figure 3, present invention also offers a kind of helmet, including:
Communication module, is configured to interact with Intelligent terminal data;
Head detector module, is configured as demarcating the head initial position of user, detects the head form of user;
Sending module, is configured as sending the head initial position and head form of user to intelligent terminal;
Receiving module, is configured as receiving optimal diopter D1;
Adjustment module, is configured as adjusting focus-variable lens, makes bending for region of the focus-variable lens before the crystalline lens of eyes 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:
The first round trains:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min;
Second wheel training:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset;
Third round is trained:The diopter of focus-variable lens is adjusted in [(D1-fit), (D1+fit)] interval interior consecutive variations n Back and forth, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is The wheel number trained.
Input module, is configured as obtaining checking information, sending module is additionally configured to send checking information 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 to combine specific features, structure, material or the spy that the embodiment or example are described Point is contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of the term not Necessarily refer to identical embodiment or example.Moreover, specific features, structure, material or the feature of description can be any One or more embodiments or example in combine in an appropriate manner.
Using the above-mentioned desirable embodiment according to the present invention as enlightenment, by above-mentioned 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 scope is not limited to the content on specification, it is necessary to its technical scope is determined according to right.

Claims (22)

1. a kind of vision optimization system for wearing display device, it is characterised in that including:
Visualization module, is configured as display electronic image;
Virtual coordinates module, is configured as the plane where the virtual image and sets up rectangular coordinate system, the position of the virtual image planar It is fixed;
Initial module, is configured as demarcating the head initial position of user, the side of the facing when head of user is in initial position To for Q0, sights of the positive apparent direction Q0 perpendicular to plane and eyes where the virtual image along positive apparent direction Q0 is concentrated in the virtual image On heart point O;
Calling module, is configured as obtaining the standard diopter D0 of eyes of user, obtains straight between eyes and virtual image central point O Linear distance is L0;
Detection module is faced, is configured as detecting the head form of user, user positive apparent direction Q1 in real time is obtained;
Optimal diopter generation module, is configured as obtaining eyes in void according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0 As the air line distance between upper blinkpunkt O1 and eyes is L1, obtain optimal in real time according to apart from L1 and standard diopter D0 Diopter D1;
Adjustment module, is configured as adjusting focus-variable lens, makes the diopter in region of the focus-variable lens before the crystalline lens of eyes For D1.
2. the vision optimization system as claimed in claim 1 for wearing display device, it is characterised in that also include:
Threshold value acquisition module is trained, 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:
The first round trains:The diopter for adjusting focus-variable lens comes in [(D1-fit), (D1+fit)] interval interior consecutive variations n Return, wherein fit=fit_min;
Second wheel training:The diopter for adjusting focus-variable lens comes in [(D1-fit), (D1+fit)] interval interior consecutive variations n Return, 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 in [(D1-fit), (D1+fit)] interval interior consecutive variations n Return, wherein fit=fit_min+fit_offset*2;By that analogy, until fit=fit_min+fit_offset* (m-1) >= Fit_max just deconditionings, wherein m is the wheel number trained.
3. the vision optimization system as claimed in claim 2 for wearing display device, it is characterised in that:
The calling module is additionally configured to obtain the age F of user, and the optimal diopter generation module is configured as basis Age F, apart from L1 and standard diopter D0 obtain optimal diopter D1 in real time;
Training threshold value acquisition module is configured as being obtained under diopter training according to age F, standard diopter D0 and diopter D1 Limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset.
4. the vision optimization system as claimed in claim 3 for wearing display device, it is characterised in that also include:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain most clearly During visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, will be apart from L1, use according to statistical result The standard diopter D0 and age F at family are as condition, and diopter D2 sets up table 1 as a result;
The optimal diopter generation module is configured as obtaining by inquiry table 1 according to age F, apart from L1 and standard diopter D0 To diopter D1.
5. the vision optimization system as claimed in claim 3 for wearing display device, it is characterised in that also include:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain most clearly During visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, and most long distance is set according to statistical result From Lmax, work as L1<Lmax, D1=D0*f1 (L1, F), function f1 are the linear letter that linear regression acquisition is carried out to statistical result Number;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;
The optimal diopter generation module is configured as L1<Lmax, D1=D0*f1 (L1, F), as L1 >=Lmax, D1= D0*f2(F)。
6. the vision for the wearing display device optimization system as described in claim 4 or 5, it is characterised in that:The training threshold value Acquisition module is configured as:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, the eye of various criterion diopter D0 user After eyeball is trained using different optimal 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 set up, by substantial amounts of all ages and classes F, the eye of various criterion diopter D0 user After eyeball is trained using different optimal 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 set up, function f5 is linear equation.
7. the vision optimization system as claimed in claim 6 for wearing display device, it is characterised in that:The calling module also by It is configured to obtain the interpupillary distance P of user;
The training threshold value acquisition module is configured as:Formula fit_min=f3 (F, D0, P, D1) is set up, formula fit_ is set up Max=f4 (F, D0, P, D1).
8. the vision optimization system as claimed in claim 7 for wearing display device, it is characterised in that:Also include partition module, It is configured as using intersection point O1 as the center of circle, the border circular areas using R as radius is 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 the image quality of reduction time field of regard.
9. the vision optimization system as claimed in claim 8 for wearing display device, it is characterised in that:Also include user data Have at least one user data in storehouse, the customer data base, the user data include No. ID, identity information, age F, Standard diopter D0 and interpupillary distance P, the identity information includes character string, voice print database, finger print data and/or iris data.
10. the vision optimization system as claimed in claim 9 for wearing display device, it is characterised in that also include:
Input module, is configured as obtaining checking information;
Authentication module, is configured as being verified checking information with the identity information in the user data, after being verified Take out and use age F, standard diopter D0 and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
11. a kind of intelligent terminal, it is characterised in that 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 demarcation, and display device 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 sets up 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 to Q0, the positive apparent direction Q0 Sight perpendicular to plane and eyes where the virtual image along positive apparent direction Q0 is concentrated on virtual image central point O;
Calling module, is configured as obtaining the standard diopter D0 of eyes of user, obtains 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;
Optimal diopter generation module, is configured as obtaining eyes in void according to apart from L0, positive apparent direction Q1 and positive apparent direction Q0 As the air line distance between upper blinkpunkt O1 and eyes is L1, obtain optimal in real time according to apart from L1 and standard diopter D0 Diopter D1;
Sending module, is configured as sending optimal diopter D1 to helmet.
12. intelligent terminal as claimed in claim 11, it is characterised in that also include:
Threshold value acquisition module is trained, 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 optimal diopter generation module is configured as basis Age F, apart from L1 and standard diopter D0 obtain optimal diopter D1 in real time;
Training threshold value acquisition module is configured as being obtained under diopter training according to age F, standard diopter D0 and diopter D1 Limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset.
14. intelligent terminal as claimed in claim 13, it is characterised in that also include:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain most clearly During visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, will be apart from L1, use according to statistical result The standard diopter D0 and age F at family are as condition, and diopter D2 sets up table 1 as a result;
The optimal diopter generation module is configured as obtaining by inquiry table 1 according to age F, apart from L1 and standard diopter D0 To diopter D1.
15. intelligent terminal as claimed in claim 13, it is characterised in that also include:
Sample analysis module, be configured as count several users the eye gaze virtual image on difference and obtain most clearly During visual effect, focus-variable lens are located at the diopter D2 in the region before the crystalline lens of eyes, and most long distance is set according to statistical result From Lmax, work as L1<Lmax, D1=D0*f1 (L1, F), function f1 are the linear letter that linear regression acquisition is carried out to statistical result Number;As L1 >=Lmax, D1=D0*f2 (F), f2 is fixed value corresponding with age F;
The optimal 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 training threshold value acquisition module is configured For:
Formula fit_min=f3 (F, D0, D1) is set up, by substantial amounts of all ages and classes F, the eye of various criterion diopter D0 user After eyeball is trained using different optimal 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 set up, by substantial amounts of all ages and classes F, the eye of various criterion diopter D0 user After eyeball is trained using different optimal 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 set up, 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 training threshold value acquisition module is configured as:Formula fit_min=f3 (F, D0, P, D1) is set up, formula fit_ is set up Max=f4 (F, D0, P, D1).
18. intelligent terminal as claimed in claim 17, it is characterised in that:Also include partition module, be configured as with intersection point O1 For the center of circle, the border circular areas using R as radius is main field of regard, and 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 the image quality of reduction time field of regard.
19. intelligent terminal as claimed in claim 18, it is characterised in that also include:
There is at least one user data in customer data base, the customer data base, the user data includes No. ID, 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 checking information from helmet;
Authentication module, is configured as being verified checking information with the identity information in the user data, after being verified Take out and use age F, standard diopter D0 and the interpupillary distance P in the user data.
Memory module, is configured as storing user data.
20. a kind of helmet, it is characterised in that including:
Communication module, is configured to interact with Intelligent terminal data;
Head detector module, is configured as demarcating the head initial position of user, detects the head form of user;
Sending module, is configured as sending the head initial position and head form of user to intelligent terminal;
Receiving module, is configured as receiving optimal diopter D1;
Adjustment module, is configured as adjusting focus-variable lens, makes the diopter in region of the focus-variable lens before the crystalline lens of eyes For D1.
21. helmet as claimed in claim 20, it is characterised in that the receiving module is configured as receiving diopter instruction Practice lower limit fit_min, diopter training upper limit fit_max and diopter training unit fit_offset, the helmet is also Including:
Training module, is configured for:
The first round trains:The diopter for adjusting focus-variable lens comes in [(D1-fit), (D1+fit)] interval interior consecutive variations n Return, wherein fit=fit_min;
Second wheel training:The diopter for adjusting focus-variable lens comes in [(D1-fit), (D1+fit)] interval interior consecutive variations n Return, wherein fit=fit_min+fit_offset;
Third round is trained:The diopter for adjusting focus-variable lens comes in [(D1-fit), (D1+fit)] interval interior consecutive variations n Return, wherein fit=fit_min+fit_offset*2;
By that analogy, until fit=fit_min+fit_offset* (m-1) >=fit_max just deconditionings, wherein m is has instructed Experienced wheel number.
22. helmet as claimed in claim 21, it is characterised in that also include:
Input module, is configured as obtaining checking information;Sending module is additionally configured to send checking information to intelligent terminal.
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Inventor after: Zeng Xuecong

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