CN109925678A - A kind of training method based on eye movement tracer technique, training device and equipment - Google Patents

A kind of training method based on eye movement tracer technique, training device and equipment Download PDF

Info

Publication number
CN109925678A
CN109925678A CN201910156390.4A CN201910156390A CN109925678A CN 109925678 A CN109925678 A CN 109925678A CN 201910156390 A CN201910156390 A CN 201910156390A CN 109925678 A CN109925678 A CN 109925678A
Authority
CN
China
Prior art keywords
information
user
training
fatigue
eye movement
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910156390.4A
Other languages
Chinese (zh)
Inventor
黄通兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing 7Invensun Technology Co Ltd
Beijing Qixin Yiwei Information Technology Co Ltd
Original Assignee
Beijing Qixin Yiwei Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Qixin Yiwei Information Technology Co Ltd filed Critical Beijing Qixin Yiwei Information Technology Co Ltd
Priority to CN201910156390.4A priority Critical patent/CN109925678A/en
Publication of CN109925678A publication Critical patent/CN109925678A/en
Pending legal-status Critical Current

Links

Landscapes

  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

Inventive embodiments disclose a kind of training method based on eye movement tracer technique, training device and equipment, wherein this method comprises: obtaining the training characteristics information of user, training characteristics information includes information relevant to the eye motion of user;Determine that the physical training condition information of user, physical training condition information include watching information and tired information attentively according to training characteristics information;The executive condition of the training program of user is determined according to physical training condition information, and training program adjustable strategies are determined according to executive condition.The embodiment of the present invention, which is realized, is adjusted its training according to the consciousness of user or the state of concentration, rationalizes the training program of user more and personalized, to help to improve training effect and efficiency.

Description

A kind of training method based on eye movement tracer technique, training device and equipment
Technical field
The present invention relates to data processing field more particularly to a kind of training methods based on eye movement tracer technique, training cartridge It sets and equipment.
Background technique
Be related to the movement (such as tae kwon do, fencing) of antagonism, the movement (such as football) of team collaboration and when away from judgement Movement (such as curling stone, horse racing) more need superpower consciousness and sharp concentration in addition to strength physical training and sentence Disconnected power.
And the training program that coach makes already is all based in the training currently carried out to sportsman and is carried out Training (i.e. strength physical training), these training programs made are to be in positive reason for physical qualification, mental condition For sportsman under condition.When to occur over fatigue or the bad situation of psychological condition in the training process still completely negative by sportsman Lotus carries out above-mentioned training and is easy to largely effect on the effect of training athlete and performance in play instead, this is also mesh The hot issue of preceding Sports Psychology field concern.
However, the consciousness of movement, concentration etc. are exactly most difficult to the place of monitoring, quantization, when a sportsman anticipates When being difficult to be promoted in terms of knowing, it is also difficult to find reason.Reason has three aspects: 1) lack the first person for being directed to sportsman, Other people are not aware that accurate visual angle of the sportsman under situation at that time and to have input what information a series of under completing to go Movement, the guidance of coach are also the angle from oneself;2) quantification of targets is difficult, for example football player is required to prepare to dribble Opposing team position near checking before shooting is offside to judge whether.And sportsman in each training process whether all into Inspection is gone, and how many time has carried out this and checked but do not see opponent, or sees opponent but do not have enough time doing Movement response;3) sportsman passes through long-term training, and many movements and decision are all subconscious generations, after terminating training, fortune It mobilizes and oneself is also difficult to talk clearly why to do at that time.And the prior art according to the consciousness of sportsman or can not be absorbed in The state of power is adjusted its training.
Summary of the invention
It, can be with the embodiment of the invention provides a kind of training method based on eye movement tracer technique, training device and equipment Its training is adjusted according to the state of the consciousness of user or concentration.
In a first aspect, the embodiment of the invention provides a kind of training methods based on eye movement tracer technique, comprising:
The training characteristics information of user is obtained, the training characteristics information includes relevant to the eye motion of the user Information;
Determine that the physical training condition information of the user, the physical training condition information include note according to the training characteristics information Visual information and tired information;
The executive condition of the training program of the user is determined according to the physical training condition information, and according to the execution feelings Condition determines training program adjustable strategies.
Second aspect, the embodiment of the invention also provides a kind of training device, which includes:
Data obtaining module, for obtaining the training characteristics information of user, the training characteristics information includes and the use The relevant information of the eye motion at family;
Block of state, for determining the physical training condition information of the user, the training according to the training characteristics information Status information includes watching information and tired information attentively;
Training adjustment module, the execution feelings of the training program for determining the user according to the physical training condition information Condition, and training program adjustable strategies are determined according to the executive condition.
Further, the training characteristics information includes eyes image, user's field-of-view image and pupil information.
Further, the block of state includes first state unit, and the first state unit is specifically used for:
Eye feature information is determined based on eyes image, and determines the user in training according to the eye feature information First in the process watches information attentively.
Further, the training adjustment module includes the first adjustment unit, and the first adjustment unit is specifically used for:
Described first is demarcated in user's field-of-view image watches information attentively;
Will calibration have described first watch attentively information user's field-of-view image and pre-set template field-of-view image into Row compares, and determines that image deviations are less than the target template field-of-view image of given threshold;
Match the in user's field-of-view image described first mesh watched attentively in information and the target template field-of-view image Visual information is marked, matching degree is obtained;
Statistics meets the quantity that described first of the matching degree less than preset matching degree threshold condition watches information attentively, and root It gives a mark according to executive condition of the quantity to the training program of the user;
It is less than described the first of preset matching degree threshold value according to the score of the executive condition of the training program and matching degree Watch the adjustable strategies that information determines the training program attentively.
Further, the block of state includes the second state cell, and second state cell is specifically used for:
Determine the tired information of the user according to pupil information, the fatigue information include pupil diameter, frequency of wink, Eye closure degree, watch attentively duration, fixation times, twitching of the eyelid amplitude, twitching of the eyelid peak value, in twitching of the eyelid frequency at least one of.
Further, second state cell includes:
Triggering command obtains subelement, for obtaining the triggering command for being used to indicate fatigue detecting;
Eye movement data obtains subelement, for obtaining the pupil information of the user in real time according to the triggering command, and The eye movement data of user's current state is obtained based on the pupil information;
Tired information determines subelement, if being determined for detecting the instruction of end of data according to the eye movement data The corresponding tired information of the user.
Further, second state cell further includes that level of fatigue determines subelement, is specifically used for:
The eye movement data library constructed according to the tired information and in advance, determines the level of fatigue of the user.
Further, the level of fatigue determines that subelement includes:
The degree of association determines submodule, for determining each history fatigue information in the tired information and the eye movement data library The degree of association, obtain at least one candidate tired information that the degree of association is greater than given threshold;
Target signature determines submodule, for believing using the corresponding candidate tired information of most relevance degree as with the fatigue Cease associated target fatigue information;
Level of fatigue determines submodule, and for obtaining from the eye movement data library, the target fatigue information is corresponding to be gone through The history level of fatigue is determined as the level of fatigue of the user by history level of fatigue.
Further, the training adjustment module further includes second adjustment unit, is specifically used for:
Judge whether the level of fatigue is more than preset grade threshold;
If so, determine that the level of fatigue is more than the duration of preset grade threshold, and when according to described continuing Between give a mark to the executive condition of the training program of the user;
The training program is determined according to the score of the tired information of the user and the executive condition of the training program Adjustable strategies.
Further, the data obtaining module is specifically used for:
Obtain the training characteristics information of the user of eye control equipment acquisition.
The third aspect, the embodiment of the invention also provides a kind of equipment, comprising:
One or more processors;
Storage device, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processing Device realizes training method as described above.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer Program, the program realize training method as described above when being executed by processor.
The embodiment of the present invention is by the training characteristics information of acquisition user, and training characteristics information includes and the eyes of user are transported Relevant information is moved, and determines the physical training condition information of user according to training characteristics information, physical training condition information includes watching letter attentively Breath and tired information, finally determine the executive condition of the training program of user, and according to executive condition according to physical training condition information Determine training program adjustable strategies.The training characteristics information that the embodiment of the present invention passes through the user got can determine user certainly The tired information of information and user itself is watched in the body visual field attentively, and statisticallys analyze that this watches information attentively and tired information determines that user instructs The adjustment direction for practicing scheme, realizes and is adjusted according to the consciousness of user or the state of concentration to its training, made The training program of user more rationalizes and personalization, to help to improve training effect and efficiency.
Detailed description of the invention
Fig. 1 is the flow chart of the training method of one kind of the embodiment of the present invention;
Fig. 2 is the flow chart of the training method in the embodiment of the present invention two;
Fig. 3 is the schematic diagram of the Training scene in the embodiment of the present invention two;
Fig. 4 A is a kind of tired information (the i.e. fatigue that user is determined according to pupil information provided in the embodiment of the present invention two Detection method) flow chart;
Fig. 4 B is the schematic diagram of maze task in fatigue detection method provided by Embodiment 2 of the present invention;
Fig. 4 C is the schematic diagram of visual search task in fatigue detection method provided by Embodiment 2 of the present invention;
Fig. 4 D is the schematic diagram in the eye movement data library constructed in advance in fatigue detection method provided by Embodiment 2 of the present invention;
Fig. 5 A is a kind of flow chart of the determining human fatigue grade provided in the embodiment of the present invention two;
Fig. 5 B is the determination of level of fatigue and the building process in eye movement data library in method provided by Embodiment 2 of the present invention Schematic illustration;
Fig. 6 is the structural schematic diagram of the training device in the embodiment of the present invention three;
Fig. 7 be the embodiment of the present invention three in training device in unit structural schematic diagram;
The structural schematic diagram of equipment in Fig. 8 embodiment of the present invention four.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow chart of the training method in the embodiment of the present invention one, and the present embodiment is applicable to realize training The case where, this method can be executed by training device, which can be realized by the way of software and/or hardware, the device It is configured in equipment, which can be two or more physical entities and constitute, and is also possible to a physical entity and constitutes, should Equipment can be smart phone, plate or computer etc..As shown in Figure 1, this method can specifically include:
S110, the training characteristics information for obtaining user.
Wherein, training characteristics information includes information arbitrarily relevant to eyes of user movement, specific training characteristics information Type the present embodiment in be not construed as limiting, such as training characteristics information may include the eyes image of user, user's field-of-view image With the information such as pupil information.
It may include: the training spy for obtaining the user of eye control equipment acquisition specifically, obtaining the training characteristics information of user Reference breath, eye control equipment include repacking formula eye movement acquisition equipment, spectacle eye movement acquisition equipment or Virtual Reality formula eye movement Acquire equipment.Wherein, repacking formula eye movement acquisition equipment can set for the eye movement acquisition for protecting equipment to be reequiped based on wear-type Eye movement acquisition equipment that is standby, such as being reequiped based on the helmet that fencing is worn.For another example, spectacle eye movement acquisition equipment can be It is configured with the intelligent glasses etc. of eye tracker.Eye tracker is for recording eye movement feature of the user when handling visual information. Eye control equipment can both acquire the information of eyes of user in the present embodiment, such as the eyes image and pupil information etc. of user, again The information that eyes of user is watched attentively, such as user's field-of-view image can be acquired.
S120, the physical training condition information that user is determined according to training characteristics information, physical training condition information include watching information attentively With tired information.
Wherein, the physical training condition information of user includes status information relevant to the consciousness of user, concentration and judgment, The type of specific physical training condition information can be set according to the actual situation, and the physical training condition information in the present embodiment is to infuse It is illustrated for visual information and tired information.
Optionally, watching information attentively may include blinkpunkt coordinate, watches vector attentively, watches track attentively, watching hotspot graph attentively and watch attentively Indicator-specific statistics etc..Wherein it is determined that the blinkpunkt of user and watching vector attentively and can be realized by eyeball tracking technology.Eyeball chases after Track, alternatively referred to as Eye-controlling focus are to estimate the sight of eyes and/or the technology of blinkpunkt by measurement eye motion situation. Wherein, sight can be understood as a trivector, and blinkpunkt can be understood as above-mentioned trivector and be projected in some plane On two-dimensional coordinate.The blinkpunkt of user can be obtained by optical recording according to the eyes image of user.It is understood that It is, can also be using the method that is not based on eyes image, such as sensor (such as electrode, capacitor based on contact/contactless Sensor) calculate the movement of eyes, and then obtain the blinkpunkt of user and watch vector attentively.
Further, tired information may include pupil diameter, frequency of wink, eye closure degree, watch duration attentively, watches attentively Number, twitching of the eyelid amplitude, twitching of the eyelid peak value, twitching of the eyelid frequency.Corresponding fatigue can be determined by analysis according to the pupil information of user Information, and can determine according to the fatigue information level of fatigue of user.Wherein, pupil information may include the pupil wheel of user The relative positions of features such as exterior feature, the reflection point of iris profile, pupil center, iris center and external light source on cornea etc. are all kinds of The related data when eyes of user rotate.It, can be by tired information and pre-stored history fatigue in the present embodiment The calculating of information degree of being associated believes the history fatigue information that the degree of association is more than degree of association threshold value as matched target fatigue The corresponding level of fatigue of target fatigue information, is determined as the level of fatigue of user by breath.
It is understood that when the type of the physical training condition information of user is different, it can be special according to different types of training Reference breath obtains corresponding physical training condition information using different methods.
S130, determined according to physical training condition information user training program executive condition, and according to executive condition determine Training program adjustable strategies.
It optionally, may include: pre- before determining the executive condition of training program of user according to physical training condition information First formulate the training program of user.The training program can be the counselor of user or coach according to historical experience is user The training program pre-established.Wherein, it is not construed as limiting in type of sports the present embodiment that training program is directed to, such as can be foot Ball, tennis or basketball etc..
Specifically, the training characteristics information of user is obtained when user is trained according to the training program pre-established, And the physical training condition information of user is determined according to training characteristics information, later, by the physical training condition information and it can predefine Standard exercise status information compare, diversity factor is greater than the part of diversity factor threshold value as the part of executive condition difference, The part for needing to adjust, and the adjustable strategies of training program are determined according to the part that the needs adjust.Wherein, predetermined Standard exercise status information can be obtained by the physical training condition information of statistical summary preset quantity standard movement person, preset quantity It can according to need and be configured.Optionally, diversity factor threshold value can be set and be updated according to the actual situation, such as with Family belongs to the primary stage, can set biggish diversity factor at this time, and with the upgrading of user's training stage, corresponding diversity factor It appropriate can also reduce.
For the present embodiment by the training characteristics information of acquisition user, training characteristics information includes the eye motion phase with user The information of pass, and determine according to training characteristics information the physical training condition information of user, physical training condition information include watch attentively information and Tired information finally determines the executive condition of the training program of user according to physical training condition information, and is determined according to executive condition Training program adjustable strategies.The training characteristics information that the embodiment of the present invention passes through the user got can determine that user itself regards Wild watches the tired information of information and user itself attentively, and statisticallys analyze that this watches information attentively and tired information determines user training side The adjustment direction of case realizes and is adjusted according to the consciousness of user or the state of concentration to its training, makes user Training program more rationalize and personalized, to help to improve training effect and efficiency.
Embodiment two
Fig. 2 is the flow chart of the training method in the embodiment of the present invention two.The present embodiment on the basis of the above embodiments, Above-mentioned training method is further embodied.Correspondingly, as shown in Fig. 2, the method for the present embodiment specifically includes:
S201, the training characteristics information for obtaining user.
Wherein, training characteristics information includes information arbitrarily relevant to eyes of user movement, specific training characteristics information Type the present embodiment in be not construed as limiting, such as training characteristics information may include the eyes image of user, user's field-of-view image With the information such as pupil information.
It may include: the training spy for obtaining the user of eye control equipment acquisition specifically, obtaining the training characteristics information of user Reference breath, eye control equipment include repacking formula eye movement acquisition equipment, spectacle eye movement acquisition equipment or Virtual Reality formula eye movement Acquire equipment.
After S201, S202-S207 and/or S208-S213 can be executed, it can be performed simultaneously S202-S207 and S208-S213 can also be individually performed S202-S207 or S208-S213 is individually performed.When training characteristics information is user's When eyes image and user's field-of-view image, S202-S207 is executed, when training characteristics information is pupil information, executes S208- S213。
S202, eye feature information is determined based on eyes image, and determine that user was training according to eye feature information First in journey watches information attentively.
Wherein, eye feature information may include pupil position, pupil shape, iris position, iris shape, eyelid position It sets, canthus position, hot spot (also referred to as Purkinje image) position etc., is illustrated by taking Purkinje image as an example in the present embodiment.Poole Spot is that infrared light supply is irradiated to cornea from the reflected hot spot of outer corneal surface by the emperor himself, and cornea is similar to radius of curvature and is Single sphere of 7.8mm, light source are a range light, when the photon irradiation of a certain optical path is to anterior corneal surface, by being reflected into Video camera will leave hot spot on the image.
It should be noted that the first definition for watching information attentively and the note in above-described embodiment one described in the present embodiment two The definition of visual information is similar, primarily to the information (i.e. second watches information attentively) of watching attentively with subsequent appearance distinguishes, I.e. first, which watches information attentively, may include blinkpunkt coordinate, watches vector attentively, watches track attentively, watches hotspot graph attentively and watch indicator-specific statistics attentively etc. Deng.The sight of user can be understood as a trivector, and blinkpunkt can be understood as above-mentioned trivector and be projected in some Two-dimensional coordinate in plane.Watch attentively track can blinkpunkt coordinate obtains according to line, watching hotspot graph attentively can be according to Watch duration attentively and carry out treated visualization figure, watch attentively indicator-specific statistics can according to all kinds of statistical charts for watching index drafting attentively (such as histogram etc.).
In the present embodiment can by pupil-corneal reflection method (Pupil Center Cornea Reflection, PCCR optical recording method) obtains the blinkpunkt of user.Specifically, the eye image that will acquire carries out binary conversion treatment, and Pupil position is obtained by circle process of fitting treatment based on the eye image after binary conversion treatment and is obtained by Spot recognition algorithm Taking the higher region of gray value is Purkinje image.When with Rotation of eyeball, the relative positional relationship of pupil position and Purkinje image It changes therewith, the change in location pass of corresponding collected several eyes image available pupil positions and Purkinje image System, may be implemented to watch point estimation attentively, and then obtain the blinkpunkt of user in the training process according to the change in location relationship.
S203, information is watched in calibration first attentively in user's field-of-view image.
Specifically, based on eyes image determine user in the training process first watch information attentively after, can be each The acceptance of the bid of moment user's field-of-view image determines current time user and first watches information attentively in user's field-of-view image, specifically demarcates Mode can be set according to the actual situation, such as can mark blinkpunkt in user's field-of-view image, can also only by First, which watches information attentively, is associated storage with user's field-of-view image.Illustratively, blinkpunkt is marked in user's field-of-view image, if Current time user's field-of-view image is the image of football gate, and the blinkpunkt of current time user is a bit of football gate top, then The point is marked out by preset mark not make in concrete type the present embodiment of preset mark on the image of the football gate It limits, such as default mark can be red circle etc..
S204, first watches user's field-of-view image of information attentively and pre-set template field-of-view image compares calibration It is right, determine that image deviations are less than the target template field-of-view image of given threshold.
Wherein, pre-set template field-of-view image can be statisticallyd analyze according to the field-of-view image of preset quantity professional user It obtains, preset quantity, which can according to need, to be configured.
There is the first user's field-of-view image for watching information attentively to be compared with pre-set template field-of-view image calibration, has Body can compare the deviation of each pixel of user's field-of-view image and template field-of-view image, and synthesis obtains image deviations, sentences The disconnected template field-of-view image for being less than given threshold with the presence or absence of image deviations, and if it exists, then using the template field-of-view image as mesh Template field-of-view image is marked, wherein given threshold can be set according to the actual situation.
The first template watched attentively in information and target template field-of-view image in S205, matching user's field-of-view image watches letter attentively Breath, obtains matching degree.
Specifically, obtain calibration have first watch attentively information the corresponding target template field-of-view image of user's field-of-view image it Afterwards, the template that first in user's field-of-view image can be watched attentively in information and target template field-of-view image watches information progress attentively Match, obtains matching degree (i.e. diversity factor);The initial data and target mould that information can also be watched attentively by the first of user's field-of-view image The initial data that template in plate field-of-view image watches information attentively carries out Data Matching, obtains matching degree (i.e. diversity factor).
S206, statistics meet the quantity that first of matching degree less than preset matching degree threshold condition watches information attentively, and according to Quantity gives a mark to the executive condition of the training program of user.
The scoring criterion that the executive condition of the training program of user is given a mark can according to need and be configured, example Such as, if scoring criterion can be set to first of matching degree less than matching degree threshold value and watch the quantity of information attentively more than or equal to first When setting quantity, it can give a mark and otherwise give a mark for qualification to be unqualified, wherein the first setting quantity can be according to the actual situation It is set.
In addition, determining eye feature information based on eyes image in S202, and user is determined according to eye feature information First in the training process is watched attentively after information, can also directly this first be watched attentively information and is watched attentively with pre-set template Information is matched, and is given a mark according to executive condition of the matching degree to the training program of user.
S207, watched attentively according to first of score and matching degree less than preset matching degree threshold value of the executive condition of training program Information determines the adjustable strategies of training program.
Specifically, the training program can not be adjusted if the executive condition of training program is scored at qualification, If the executive condition of training program is scored at unqualified, matching degree threshold value can be less than according to matching degree first watches information attentively And this first is watched the corresponding template of information attentively and watches the adjustable strategies that information determines the training program attentively.
It illustratively, is the schematic diagram of the Training scene in the embodiment of the present invention two referring to Fig. 3, Fig. 3, the training pair in figure The movement answered is football, includes football gate 11 and football player 12 in figure, and the template blinkpunkt at current time is A point, still The blinkpunkt of football player 12 is B point in figure, and the diversity factor being calculated (i.e. matching degree) is less than matching degree threshold value, therefore needs Will in training program current time remind football player 12 blinkpunkt deviation, reinforcement instruction is carried out to blinkpunkt at this time Practice.
S208, the tired information that user is determined according to pupil information.
Wherein, tired information can be able to reflect the data for the fatigue state that user is presently in, including pupil diameter, Frequency of wink, watches duration, fixation times, twitching of the eyelid amplitude, twitching of the eyelid peak value, at least one in twitching of the eyelid frequency attentively at eye closure degree , it is not construed as limiting in concrete type the present embodiment of tired information.Pupil diameter may include the pupil diameter and right eye of left eye Pupil diameter;Frequency of wink is the time interval averagely blinked when test, and blink can be acquired real-time by eye control equipment Eyes open and-shut mode obtains;It is the distance between upper eyelid and lower eyelid that eye, which is closed degree,;A length of user watches certain attentively when watching attentively The time of a bit;Fixation times are that user watches the number of certain point attentively to user whithin a period of time;Twitching of the eyelid amplitude is the note of user The distance that viewpoint shifts;Twitching of the eyelid peak value is the speed that the blinkpunkt of user shifts;Twitching of the eyelid frequency is in a period of time The number that user's blinkpunkt shifts.
Pupil information may include that pupil profile, iris profile, pupil center, iris center and the external light source of user exists The related data when eyes of all types of user such as the relative position of the features such as the reflection point on cornea are rotated.
Specifically, corresponding viewing specific objective or when executing specific activities when fatigue state different as locating for user There can be the difference of different skewed popularities, can judge locating fatigue state by the attention distribution situation of user at this time.
After getting the pupil information of user, which calculate and analyzes available user in training When eyes corresponding reflection user to be detected is presently in the eyes achievement data and feature of fatigue state during rotation Data (i.e. eye movement data), and then determine the tired information of user.
Optionally, determine that the tired information of user can be through but not limited to such as according to pupil information in the present embodiment two Mode described in Fig. 4 A carries out:
A401 obtains the triggering command for being used to indicate fatigue detecting.
Wherein, fatigue includes the two kinds of fatigue tired and broad sense of narrow sense, and the fatigue of narrow sense refers to due to sleep missing, mistake Tired and powerless feeling caused by degree labour;The fatigue of broad sense refers to the user cognition caused by a variety of conditions and muscle activity The even depressed phenomenon of decline;The fatigue of narrow sense can be easy to find in life, and the fatigue of broad sense is difficult to find, this For fatigue detecting in embodiment mainly for the fatigue of broad sense, the fatigue of broad sense can be to the biggish shadow of the daily life of user generation It rings, if sportsman is when being currently at fatigue state, the effect or match performance of training can be largely effected on;Broad sense it is tired For labor there are two kinds of central nerve fatigue and periphery fatigue, central nerve fatigue is a kind of fatigue of nervous system, more difficult compared to periphery fatigue With discovery, the fatigue detecting in the present embodiment is able to carry out objective and accurate detection for central nerve fatigue.
Meanwhile triggering command is the instruction for referring to indicate currently to need to detect the fatigue state of user, is used for Instruction currently starts to carry out fatigue detecting, and executes the operations in subsequent fatigue detecting stage.Specifically, in the present embodiment Triggering command can be generated by testing staff by executing corresponding trigger action on detection device, which can be Click or touch the button or the void on screen that pre-set instruction currently needs to carry out fatigue detecting on detection device The operations such as the quasi- zone of action.
Optionally, it when needing to carry out fatigue detecting to a certain user, can be held on detection device by testing staff first The corresponding instruction of row carries out the trigger action of fatigue detecting, so that the triggering for being used to indicate fatigue detecting for getting corresponding generation refers to It enables, is operated with executing subsequent fatigue detecting according to the triggering command.
A402 obtains the pupil information of user in real time according to triggering command, and obtains the current shape of user based on pupil information The eye movement data of state.
After getting the pupil information of user, carrying out calculating analysis to the pupil information can be obtained by user and is instructing The eye movement data of eyes corresponding current state during rotation when practicing.Wherein, eye movement data refers to the eyes of user tired When labor detection-phase rotates in real time, through the eye image for the user that specific eye-movement measurement equipment captures, obtained from The data for the expression eye rotation trend for including in each eye image.Specifically, eye movement data may include with eye rotation Obtained from each eye image pupil profile, iris profile, pupil center, iris center and external light source on cornea The relative position of the features such as reflection point carries out all kinds of associated change trend datas such as corresponding change.
Optionally, when getting the triggering command for being used to indicate fatigue detecting, illustrate to need to detect active user at this time Fatigue state, by allowing the user to complete some preset test assignments or needing the test of user's actual participation living Dynamic, the eyes for detecting user can be with specific objective specified in the test assignment or the corresponding test process of test activity Or activity purpose is different and accordingly rotate, thus according to obtained triggering command obtain in real time user execute test assignment or The eye image inscribed when each locating for correspondence when completing test activity, and each eye image is analyzed, obtain it In include eyes of user corresponding eye movement data when being rotated, be specifically as follows pupil profile, the iris profile, pupil of user All kinds of related datas such as the relative positions of features such as the reflection point of hole center, iris center and external light source on cornea.
Illustratively, the eye movement data in the present embodiment can be acquired in real time by following at least one equipment: Table top type Eye movement acquire equipment, spectacle or glasses accessory formula eye movement acquisition equipment and virtual reality (Virtual Reality, VR) or Augmented reality (Augmented Reality, AR) wear-type eye movement acquires equipment.
Specifically, Table top type eye movement acquisition equipment can be placed on and by image collecting joint thereon towards with Family, to acquire the eye image that equipment acquires user in real time by the Table top type eye movement, while Table top type eye movement acquires equipment It is also possible to directly configure an image collecting joint on corresponding detection device, to acquire the eye image of user in real time;Eye Mirror or glasses accessory formula eye movement acquisition equipment by configuring corresponding image collecting joint on glasses or glasses accessory, by with The glasses or glasses accessory are directly worn in family, to acquire the eye image of user in real time;The acquisition of VR or AR wear-type eye movement is set The standby device for being able to use family and watching certain virtual screen referred to using VR technology or AR Technology design, user pass through pendant The eye image of the eyes for wearing VR AR wear-type eye movement acquisition equipment to acquire user during rotation, and then in real time Obtain corresponding eye movement data.
In addition, when acquiring the eye movement data of equipment acquisition user by Table top type eye movement, it can be in the Table top type eye movement The task screen that preset test assignment correspondence includes is shown on the corresponding screen of acquisition equipment, and the user is made to pass through viewing The task screen that is shown on the screen and execute corresponding test assignment, and then obtained by acquiring corresponding eye image in real time Take the eye movement data at family.
It optionally, in some embodiments, can be with after getting the triggering command for being used to indicate fatigue detecting The corresponding test information of the user is shown on the screen.Wherein, test information is generated according to preset eye movement training mission. Specifically, eye movement training mission refers to that be able to use family guarantees that eyes can be according to task execution mesh while completing the task Carry out rotate, to obtain corresponding eye movement data, and then user's fatigue state locating when completing the task is carried out Analysis.It executes the corresponding actual participation video of eye movement training mission at this point, test information can be user or actually watches Training image, such as live video of the sportsman when participating in hands-on or match;Illustratively, eye movement training mission can also To be preset all kinds of test assignments, such as the visual search task dispatching in the maze task or Fig. 4 C in Fig. 4 B, at this time Test information can be corresponding according to successive displaying sequence by all kinds of test assignments for being preset with different task completion duration It generates.In the present embodiment, after getting the triggering command for being used to indicate fatigue detecting, in the eye movement number for obtaining user in real time According to while, can also on the screen of detection device real-time display user it is corresponding according to preset eye movement training mission The test information of generation, the triggering command in present embodiment can be the displaying instruction of the test information at this time, such as to test The play instruction of video accordingly shows the operation of test information on the screen according to testing staff, generates corresponding triggering command, It controls the test information simultaneously to show on the screen, and obtains the eye movement data of the user in real time.It should be noted that this reality The corresponding test information of the user to be detected of display on the screen applied in mode can execute before step A402, can also be It executes, can also be performed simultaneously when getting triggering command, herein without limitation after step A402.
Optionally, after showing the corresponding test information of the user on the screen, present embodiment can also be according to real-time The eye movement data of acquisition determines that user second watches information attentively under current time;And the test information shown under current time Middle label this second watch information attentively.
Specifically, when obtaining the eye movement data of user in real time, on screen in the corresponding test information of meeting real-time display The content for including passes through eye-tracking skill according to the eye movement data obtained in real time such as the video frame at current time in test video Art estimates user and second watches information attentively under current time, subsequent to may determine that this according to second variation for watching information attentively The fatigue state of user;This second is watched information attentively and can be blinkpunkt situation etc. of the user in test information.Getting use Family under current time when watching information attentively, can be in order to which what real-time display on the screen went out user to be detected watches situation attentively Go out this according to respective markers in the test information under the current time shown on the screen and second watch information attentively, so that testing staff It can intuitively see the eye movement situation of the user, carry out simple analysis to treat the fatigue state of testing staff.
Illustratively, as test information be test video, and second watch attentively information be blinkpunkt when, according in real time obtain Eye movement data when determining blinkpunkt of the user under current time, can determine test video under current time in screen The video frame of upper corresponding display can mark the user under current time in the video frame of current time corresponding display at this time Blinkpunkt, at this time by the blinkpunkt of the real-time mark user in the test video that shows on the screen, so that testing staff The Fluctuation of user's blinkpunkt can be intuitively observed on the screen of detection device, and then substantially analyze the user The fatigue state being presently in.
A403 determines the corresponding tired information of user according to eye movement data if detecting the instruction of end of data.
Wherein, data end command refer to when the eye movement data current without obtaining user it is corresponding generate for clear The instruction for needing to stop obtaining eye movement data is indicated, as user completes preset test assignment or needing user It is subsequent to no longer need to obtain corresponding eye movement data in real time when the test activity of actual participation, then it can be according to inspection in the present embodiment The corresponding completion information of the test assignment or test activity measured and generate the data end command;Illustratively, test is appointed Since business complete duration up to reaching preset test detecting the triggering command for being used to indicate fatigue detecting, so that after user When continuous stopping continues to execute the test assignment, the test assignment corresponding expression when reaching test and completing duration can detecte Test assignment has executed the completion information of completion, and then generates corresponding data end command according to the completion information, is used for Instruction stops continuing to obtain eye movement data;Either by testing staff at the end of observing test assignment or test activity, lead to It crosses and executes corresponding expression test assignment on detection device or test activity has executed the end operation of completion and generated Corresponding data end command, as testing staff clicks, detection device is pre-set on the screen to indicate that test terminates virtual Button or the corresponding test that is used to indicate issued of testing staff terminate, and stop the phonetic order etc. for obtaining eye movement data.
In addition, tired information refers to the data for being able to reflect the fatigue state that user is presently in, as locating for user not With fatigue state when corresponding viewing specific objective or while executing specific activities can have the difference of different skewed popularities, at this time may be used To judge locating fatigue state by the attention distribution situation of user;Illustratively, active user is in higher fatigue When state, can with the behaviors such as attention laxes, reflecting time is elongated, when major fatigue there is also " expression in the eyes is in a daze " or Anomalous reflections such as " One's eyesight is restrained ";Therefore the corresponding tired information of the user is obtained by the eye movement data of the user of acquisition, The fatigue information may include that corresponding every eyes achievement data, the physiology refer to eyes during rotation in eye movement data Mark data are able to reflect corresponding fatigue state, such as pupil diameter;The fatigue information can also include by obtaining to real-time Eye movement data analyzed and the user that determines completes test assignment or when test activity corresponding watches duration or eye attentively Frequency hopping rate etc. can indicate the characteristic of user's attention degree.
Optionally, the present embodiment during obtaining the eye movement data of user according to triggering command in real time, if detection To the current data end command for needing to stop obtaining eye movement data of instruction, the eye movement data for obtaining user is not continued at this time, And to obtaining in real time within the scope of duration corresponding when detecting data end command since getting triggering command Eye movement data is analyzed, and judges that user's eyes when executing the test activity of preset test assignment or actual participation exist The corresponding eyes achievement data and characteristic for reflecting the user and being presently in fatigue state in rotation process, and then determine The corresponding tired information of the user.
S209, the eye movement data library constructed according to tired information and in advance, determine the level of fatigue of user.
Wherein, a large amount of all types of user under different preset level of fatigue are previously stored in eye movement data library complete The corresponding tired information generated when at corresponding test assignment or executing actual test activity, as shown in Figure 4 D, the eye movement data The each tired information stored in library being capable of one level of fatigue of accurate match;Specifically, eye movement data library is being stored in advance Data volume it is less and need to carry out initial construction, can thus when guaranteeing the accuracy of subsequent fatigue detecting to a certain extent To default initial in a manner of through existing use mental scale, self-appraisal report, biochemical investigation index or heart rate variability etc. The user of quantity carries out fatigue detecting, the level of fatigue of each user of accurate judgement, and each user is made to go to complete to preset Test assignment or the corresponding test activity of actual participation in, and then obtain the eye movement data of each user, and determine and correspond to Tired information, level of fatigue that each user detects in advance and tired information correspondence are stored to eye movement data library at this time In, it is corresponding under each level of fatigue set in the eye movement data library at this time to be stored with corresponding tired information, it can guarantee A degree of fatigue detecting accuracy.
Further, level of fatigue, which refers to, divides degree of fatigue locating for user, explicitly indicates that user is in not Fatigue to which degree of fatigue between major fatigue status information, by locating fatigue state progress in the present embodiment Quantization, and then the objective degree of fatigue for effectively evaluating user, improve the intuitive of fatigue detection result.
Optionally, after the eye movement data according to user determines corresponding tired information, can by the fatigue information in advance The each tired information stored in the eye movement data library first constructed is compared, and will be deposited in eye movement data library according to comparison result The level of fatigue corresponding with the most similar tired information of the tired information of the user of storage, the level of fatigue as the user.
Further, such as common by the foundation difference of the level of fatigue divided to work in the user of different field User and sportsman have level of fatigue corresponding when identical tired information may eye movement numbers that are different, therefore constructing in advance It can be stored according to the corresponding tired information of the user for being directed to different field in library with subregion, so that judgement is in specific area The difference of level of fatigue between user and ordinary user;In the present embodiment in the tired information for getting user, Ke Yi Found out in eye movement data library it is pre-stored be in the corresponding tired information of the user in same field with the user, and by the use The tired information at family is compared with the tired information in the same field found out, and then determines the level of fatigue of the user.
It should be noted that since different eye movement datas can be obtained for different user, and then determine different tired Labor information, at this time if pre-stored fatigue information is less in eye movement data library, according to the tired information of user and preparatory structure The accuracy of the level of fatigue for the user that the eye movement data library built determines is relatively low, therefore eye movement data library is needed not With a large amount of tired information is stored under level of fatigue, to guarantee the accuracy of fatigue detecting.Therefore, in the present embodiment, use The level of fatigue at family can also determine by other means other than it can determine through the above way, optionally, it is described its His mode includes but is not limited to mode as shown in Figure 5A, and the determination process of the level of fatigue of user may include steps of:
A501 obtains the triggering command for being used to indicate fatigue detecting;
A502 obtains the pupil information of user in real time according to triggering command, and obtains the current shape of user based on pupil information The eye movement data of state;
A503 determines the corresponding tired information of user according to eye movement data if detecting the instruction of end of data.
A504 determines the degree of association of each history fatigue information in fatigue information and eye movement data library, obtains the degree of association and is greater than The candidate tired information of at least one of given threshold.
Wherein, the history fatigue information in eye movement data library is pre-stored under preset different fatigue grade All types of user corresponding tired information generated when completing corresponding test assignment or executing actual test activity, optionally, really The mode of fixed fatigue information and the degree of association of history fatigue information each in eye movement data library specifically can be as shown in Figure 5 B.Specifically , the eye movement data when completing corresponding test assignment according to user or executing actual test activity determines that corresponding fatigue is believed After breath, can by the history fatigue information under pre-stored each level of fatigue in the tired information of user and eye movement data library into Row compares, and analyzes the degree of association between the tired information of the user and each history fatigue information, that is, the phase short range of the two Degree illustrates degree of association maximum if the two is identical;It is tired in the tired information for obtaining user and each history in eye movement data library After the degree of association between labor information, the history fatigue information that the degree of association is greater than given threshold is filtered out, which being capable of table Show accuracy to a certain extent, and using at least one the history fatigue information greater than given threshold filtered out as corresponding Candidate fatigue information, the subsequent degree of association in candidate tired information and the tired information of user, judges the level of fatigue of the user.
A505, using the corresponding candidate tired information of most relevance degree as the target fatigue information with tired information association.
Specifically, as shown in Figure 5 B, after filtering out at least one candidate tired information in eye movement data library, what is obtained The tired information of candidate that there is most relevance degree with the tired information of the user is found out in multiple candidate tired information, is made For the target fatigue information of the tired information association with the user, the tired information of target fatigue special information and the user at this time It is the most close.
A506 obtains the corresponding history level of fatigue of target fatigue information, by history level of fatigue from eye movement data library It is determined as the level of fatigue of user.
Optionally, as shown in Figure 5 B, it since the tired information of target fatigue information and user are the most close, is obtaining When target fatigue information, the pre-stored corresponding history of target fatigue information can be further obtained in eye movement data library Level of fatigue, and the history level of fatigue is determined as to the level of fatigue of the user, the objective quantization for effectively realizing user is tired Labor detection.
It should be noted that being elaborated respectively with two different embodiments are exemplary according to tired in Fig. 4 A and Fig. 5 A After labor information and the eye movement data library constructed in advance determine the level of fatigue of user, the present embodiment can also include but is not limited to Such as the following steps in Fig. 5 B: receiving the fatigue label result that user is presently in fatigue state;If fatigue label result with Level of fatigue matching then stores tired information and the level of fatigue correspondence of the user into eye movement data library,.
Optionally, due to the negligible amounts of pre-stored history fatigue information in the eye movement data library of initial construction, make Must be lower to the accuracy of the fatigue detection result of user, therefore the present embodiment is gone back while carrying out fatigue detecting to user It can be directed to this fatigue detection result, analysis is tracked to the practical fatigue state of the user, and then to passing through eye movement The accuracy of the level of fatigue of database detection is judged.Specifically, in the eye movement number constructed according to tired information and in advance According to library, during the level of fatigue for determining user, the tired shape that the user can be presently in by special tracking personnel State carries out practical tracking, and as to follow the user to participate in corresponding movable by tracking personnel, and the respective record user is in actual activity In body parameters, and then analyze the practical degree of fatigue of the user, judge that the user is presently in the reality of fatigue state Border as a result, and inputted in current detection device according to the actual result artificial detection the user fatigue label as a result, Fatigue label result can accurately indicate the practical fatigue state of the user.Illustratively, passing through above-mentioned Fig. 4 A or Fig. 5 A It, can be by the movement of coach's respective record of the sportsman during corresponding mode determines the level of fatigue of a certain sportsman Parameter of member during participating in hands-on, realizes the practical fatigue state tracking of the sportsman, and analyzes currently practical institute The fatigue state at place obtains the actual result that the sportsman is presently in fatigue state, and the practical knot that will be obtained by the coach The corresponding fatigue label result of fruit inputs in the corresponding detection device of the present embodiment, so that obtaining the sportsman is presently in fatigue The tired level of fatigue marked as a result, the fatigue marks result to indicate practical fatigue state locating for user of state, subsequent According to the level of fatigue of the user determined in fatigue label result and the present embodiment, the accuracy of fatigue detecting is judged.Optionally, If the level of fatigue that the corresponding tired label of the practical tracking result of user is detected with this matches, illustrate this fatigue inspection It is accurate to survey, then stores the tired information of the user and the level of fatigue of determination correspondence into the eye movement data library of building, with Improve the comprehensive of the tired information of all types of user stored under different fatigue grade in eye movement data library, thus to user into While row fatigue detecting, the synchronous comprehensive building for realizing eye movement data library reduces the Operating Complexity of fatigue detecting, improves The accuracy of fatigue detecting.
S210, judge whether level of fatigue is more than preset grade threshold, if so, S212 is thened follow the steps, if it is not, then holding Row step S211.
Level of fatigue threshold value can be set according to the actual situation, such as user belongs to the primary stage, can set at this time Fixed lesser level of fatigue threshold value, and with the upgrading of user's training stage, corresponding level of fatigue threshold value can also be appropriate Increase.
S211, other processes are executed.
S212, determine that level of fatigue is more than the duration of preset grade threshold, and according to the duration to user's The executive condition of training program is given a mark.
The scoring criterion that the executive condition of the training program of user is given a mark can according to need and be configured, example Such as, when scoring criterion can be set to duration of the level of fatigue more than preset grade threshold more than or equal to the first setting Between when, can give a mark and otherwise give a mark for qualification to be unqualified, wherein the first setting time can be set according to the actual situation It is fixed.
S213, the adjustment plan that training program is determined according to the score of the executive condition of the tired information and training program of user Slightly.
Specifically, the training program can not be adjusted if the executive condition of training program is scored at qualification, If the executive condition of training program is scored at unqualified, illustrate degree of fatigue when user executes current training program more It seriously, can be with the higher moment setting warning of level of fatigue in training program to user or the reduction of the adaptability training side The intensity of case.
It is understood that can be trained equipment to the adjustment of training program in the present embodiment passes through pre-set tune Perhaps algorithm realizes that the counselor for being also possible to user or coach pass through the executive condition of analyzing and training scheme to whole program Score is realized.
The present embodiment determines the physical training condition of user according to training characteristics information by the training characteristics information of acquisition user Information, physical training condition information include watching information and tired information attentively, and the training program of user is determined according to physical training condition information Executive condition, and training program adjustable strategies are determined according to executive condition.The present embodiment passes through the training of the user got What characteristic information can determine user itself visual field watches the tired information of information and user itself attentively, and statisticallys analyze this and watch letter attentively Breath and tired information determine the adjustment direction of user's training program, realize the state pair of the consciousness or concentration according to user Its training is adjusted, and rationalizes the training program of user more and personalized, to help to improve training effect and effect Rate.
Embodiment three
Fig. 6 is the structural schematic diagram of the training device in the embodiment of the present invention three, and the present embodiment is applicable to realize operation Trained situation.Training side provided by any embodiment of the invention can be performed in training device provided by the embodiment of the present invention Method has the corresponding functional module of execution method and beneficial effect.The training device specifically includes data obtaining module 610, shape Morphotype block 620 and training adjustment module 630, in which:
Data obtaining module 610, for obtaining the training characteristics information of user, the training characteristics information includes and user The relevant information of eye motion;
Block of state 620, for determining the physical training condition information of the user, the instruction according to the training characteristics information Practicing status information includes watching information and tired information attentively;
Training adjustment module 630, the execution of the training program for determining the user according to the physical training condition information Situation, and training program adjustable strategies are determined according to executive condition.
The embodiment of the present invention is by the training characteristics information of acquisition user, and training characteristics information includes and the eyes of user are transported Relevant information is moved, determines that the physical training condition information of user, physical training condition information include watching information attentively according to training characteristics information With tired information, and the executive condition of the training program of user is determined according to physical training condition information, and determine according to executive condition Training program adjustable strategies.The training characteristics information that the embodiment of the present invention passes through the user got can determine that user itself regards Wild watches the tired information of information and user itself attentively, and statisticallys analyze that this watches information attentively and tired information determines user training side The adjustment direction of case realizes and is adjusted according to the consciousness of user or the state of concentration to its training, makes user Training program more rationalize and personalized, to help to improve training effect and efficiency.
Further, the training characteristics information includes eyes image, user's field-of-view image and pupil information.
Further, block of state 620 includes first state unit, and first state unit is specifically used for:
Eye feature information is determined based on eyes image, and determines the user in training according to the eye feature information First in the process watches information attentively.
Further, training adjustment module 630 includes the first adjustment unit, and the first adjustment unit is specifically used for:
Described first is demarcated in user's field-of-view image watches information attentively;
Will calibration have described first watch attentively information user's field-of-view image and pre-set template field-of-view image into Row compares, and determines that image deviations are less than the target template field-of-view image of given threshold;
Match the in user's field-of-view image described first mesh watched attentively in information and the target template field-of-view image Visual information is marked, matching degree is obtained;
Statistics meets the quantity that described first of the matching degree less than preset matching degree threshold condition watches information attentively, and root It gives a mark according to executive condition of the quantity to the training program of the user;
It is less than described the first of preset matching degree threshold value according to the score of the executive condition of the training program and matching degree Watch the adjustable strategies that information determines the training program attentively.
Further, the block of state 620 includes the second state cell, and second state cell is specifically used for:
Determine the tired information of the user according to pupil information, the fatigue information include pupil diameter, frequency of wink, Eye closure degree, watch attentively duration, fixation times, twitching of the eyelid amplitude, twitching of the eyelid peak value, in twitching of the eyelid frequency at least one of.
Further, as shown in fig. 7, second state cell includes:
Triggering command obtains subelement 701, for obtaining the triggering command for being used to indicate fatigue detecting;
Eye movement data obtains subelement 702, for obtaining the pupil information of the user in real time according to the triggering command, And the eye movement data of user's current state is obtained based on the pupil information;
Tired information determines subelement 703, if for detecting the instruction of end of data, it is true according to the eye movement data Determine the corresponding tired information of the user.
Further, in some embodiments, second state cell further includes that level of fatigue determines subelement 704, it is specifically used for:
The eye movement data library constructed according to the tired information and in advance, determines the level of fatigue of the user.
Further, the level of fatigue determines that subelement 704 includes:
The degree of association determines submodule, for determining each history fatigue information in the tired information and the eye movement data library The degree of association, obtain at least one candidate tired information that the degree of association is greater than given threshold;
Target signature determines submodule, for believing using the corresponding candidate tired information of most relevance degree as with the fatigue Cease associated target fatigue information;
Level of fatigue determines submodule, and for obtaining from the eye movement data library, the target fatigue information is corresponding to be gone through The history level of fatigue is determined as the level of fatigue of the user by history level of fatigue.
Further, the training adjustment module 630 further includes second adjustment unit, is specifically used for:
Judge whether the level of fatigue is more than preset grade threshold;
If so, determine that the level of fatigue is more than the duration of preset grade threshold, and when according to described continuing Between give a mark to the executive condition of the training program of the user;
The training program is determined according to the score of the tired information of the user and the executive condition of the training program Adjustable strategies.
Further, the data obtaining module 610 is specifically used for:
Obtain the training characteristics information of the user of eye control equipment acquisition.
Training method provided by any embodiment of the invention can be performed in training device provided by the embodiment of the present invention, tool The standby corresponding functional module of execution method and beneficial effect.
Example IV
Fig. 8 is the structural schematic diagram of the equipment in the embodiment of the present invention four.Fig. 8, which is shown, to be suitable for being used to realizing that the present invention is real Apply the block diagram of the example devices 412 of mode.The equipment 412 that Fig. 8 is shown is only an example, should not be to the embodiment of the present invention Function and use scope bring any restrictions.
As shown in figure 8, equipment 412 is showed in the form of general purpose terminal.The component of equipment 412 can include but is not limited to: One or more processor 416, storage device 428 connect different system components (including storage device 428 and processor 416) bus 418.
Bus 418 indicates one of a few class bus structures or a variety of, including storage device bus or storage device control Device processed, peripheral bus, graphics acceleration port, processor or total using the local of any bus structures in a variety of bus structures Line.For example, these architectures include but is not limited to industry standard architecture (Industry Subversive Alliance, ISA) bus, microchannel architecture (Micro Channel Architecture, MAC) bus is enhanced Isa bus, Video Electronics Standards Association (Video Electronics Standards Association, VESA) local are total Line and peripheral component interconnection (Peripheral Component Interconnect, PCI) bus.
Equipment 412 typically comprises a variety of computer system readable media.These media can be it is any can be by equipment The usable medium of 412 access, including volatile and non-volatile media, moveable and immovable medium.
Storage device 428 may include the computer system readable media of form of volatile memory, such as arbitrary access Memory (Random Access Memory, RAM) 430 and/or cache memory 432.Equipment 412 can be wrapped further Include other removable/nonremovable, volatile/non-volatile computer system storage mediums.Only as an example, storage system 434 can be used for reading and writing immovable, non-volatile magnetic media (Fig. 5 do not show, commonly referred to as " hard disk drive ").Although It is not shown in Fig. 5, the disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided, and To removable anonvolatile optical disk, such as CD-ROM (Compact Disc Read-Only Memory, CD-ROM), number Optic disk (Digital Video Disc-Read Only Memory, DVD-ROM) or other optical mediums) read-write CD drive Dynamic device.In these cases, each driver can be connected by one or more data media interfaces with bus 418.It deposits Storage device 428 may include at least one program product, which has one group of (for example, at least one) program module, this A little program modules are configured to perform the function of various embodiments of the present invention.
Program/utility 440 with one group of (at least one) program module 442 can store in such as storage dress It sets in 428, such program module 442 includes but is not limited to operating system, one or more application program, other program moulds It may include the realization of network environment in block and program data, each of these examples or certain combination.Program module 442 usually execute function and/or method in embodiment described in the invention.
Equipment 412 can also be logical with one or more external equipments 414 (such as keyboard, direction terminal, display 424 etc.) Letter, can also be enabled a user to one or more terminal interact with the equipment 412 communicate, and/or with make the equipment 412 Any terminal (such as network interface card, modem etc.) communication that can be communicated with one or more of the other computing terminal.This Kind communication can be carried out by input/output (I/O) interface 422.Also, equipment 412 can also by network adapter 420 with One or more network (such as local area network (Local Area Network, LAN), wide area network (Wide Area Network, WAN) and/or public network, for example, internet) communication.As shown in figure 8, network adapter 420 passes through bus 418 and equipment 412 Other modules communication.It should be understood that although not shown in the drawings, other hardware and/or software mould can be used with bonding apparatus 412 Block, including but not limited to: microcode, terminal driver, redundant processor, external disk drive array, disk array (Redundant Arrays of Independent Disks, RAID) system, tape drive and data backup storage system System etc..
The program that processor 416 is stored in storage device 428 by operation, thereby executing various function application and number According to processing, such as realize training method provided by the embodiment of the present invention, this method comprises:
The training characteristics information of user is obtained, training characteristics information includes information arbitrarily relevant to eyes of user movement;
Determine that the physical training condition information of user, physical training condition information include watching information and fatigue attentively according to training characteristics information Information;
The executive condition of the training program of user is determined according to physical training condition information, and training side is determined according to executive condition Case adjustable strategies.
Embodiment five
The embodiment of the present invention five additionally provides a kind of computer readable storage medium, is stored thereon with computer program, should The training method as provided by the embodiment of the present invention is realized when program is executed by processor, this method comprises:
The training characteristics information of user is obtained, training characteristics information includes information arbitrarily relevant to eyes of user movement;
Determine that the physical training condition information of user, physical training condition information include watching information and fatigue attentively according to training characteristics information Information;
The executive condition of the training program of user is determined according to physical training condition information, and training side is determined according to executive condition Case adjustable strategies.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or Device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: tool There are electrical connection, the portable computer diskette, hard disk, random access memory (RAM), read-only memory of one or more conducting wires (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD- ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable storage Medium can be any tangible medium for including or store program, which can be commanded execution system, device or device Using or it is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion Divide and partially executes or executed on remote computer or terminal completely on the remote computer on the user computer.It is relating to And in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or extensively Domain net (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as provided using Internet service Quotient is connected by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims (20)

1. a kind of training method based on eye movement tracer technique characterized by comprising
The training characteristics information of user is obtained, the training characteristics information includes letter relevant to the eye motion of the user Breath;
Determine that the physical training condition information of the user, the physical training condition information include watching letter attentively according to the training characteristics information Breath and tired information;
The executive condition of the training program of the user is determined according to the physical training condition information, and true according to the executive condition Determine training program adjustable strategies.
2. the method according to claim 1, wherein the training characteristics information includes eyes image, user's view Wild image and pupil information.
3. according to the method described in claim 2, it is characterized in that, determining the instruction of the user according to the training characteristics information Practice status information, comprising:
Eye feature information is determined based on the eyes image, and determines the user in training according to the eye feature information First in the process watches information attentively.
4. according to the method described in claim 3, it is characterized in that, determining the instruction of the user according to the physical training condition information Practice the executive condition of scheme, and training program adjustable strategies determined according to the executive condition, comprising:
Described first is demarcated in user's field-of-view image watches information attentively;
There is described first to watch user's field-of-view image of information attentively calibration and pre-set template field-of-view image compares It is right, determine that image deviations are less than the target template field-of-view image of given threshold;
The template that described first in user's field-of-view image watches attentively in information and the target template field-of-view image is matched to infuse Visual information obtains matching degree;
Statistics meets the quantity that described first of the matching degree less than preset matching degree threshold condition watches information attentively, and according to institute Quantity is stated to give a mark to the executive condition of the training program of the user;
It is less than described the first of preset matching degree threshold value according to the score of the executive condition of the training program and matching degree to watch attentively Information determines the adjustable strategies of the training program.
5. according to the method described in claim 2, it is characterized in that, determining the instruction of the user according to the training characteristics information Practice status information, comprising:
Determine the tired information of the user according to the pupil information, the fatigue information include pupil diameter, frequency of wink, Eye closure degree, watch attentively duration, fixation times, twitching of the eyelid amplitude, twitching of the eyelid peak value, in twitching of the eyelid frequency at least one of.
6. according to the method described in claim 5, it is characterized in that, determining that the fatigue of the user is believed according to the pupil information Breath includes:
Obtain the triggering command for being used to indicate fatigue detecting;
It obtains the pupil information of the user in real time according to the triggering command, and the user is obtained based on the pupil information The eye movement data of current state;
If detecting the instruction of end of data, the corresponding tired information of the user is determined according to the eye movement data.
7. according to the method described in claim 6, it is characterized in that, in the fatigue for determining the user according to the pupil information After information, further includes:
The eye movement data library constructed according to the tired information and in advance, determines the level of fatigue of the user.
8. the method according to the description of claim 7 is characterized in that the eye movement data constructed according to the tired information and in advance Library determines the level of fatigue of the user, comprising:
Determine the degree of association of each history fatigue information in the tired information and the eye movement data library, the acquisition degree of association, which is greater than, to be set Determine at least one candidate tired information of threshold value;
Using the corresponding candidate tired information of most relevance degree as the target fatigue information with the tired information association;
The corresponding history level of fatigue of the target fatigue information is obtained from the eye movement data library, by described history fatigue etc. Grade is determined as the level of fatigue of the user.
9. method according to claim 7 or 8, which is characterized in that after the level of fatigue for determining the user, also wrap It includes:
Receive the fatigue label result that the user is presently in fatigue state;
If the fatigue label result is matched with the level of fatigue, the tired information and level of fatigue correspondence are deposited Storage is into the eye movement data library.
10. according to the method described in claim 6, it is characterized in that, obtain be used to indicate fatigue detecting triggering command it Afterwards, further includes:
The corresponding test information of the user is shown on the screen, and the test information is according to preset eye movement training mission It generates.
11. according to the method described in claim 10, it is characterized in that, obtaining the user in real time according to the triggering command Pupil information, and after obtaining based on the pupil information eye movement data of user's current state, further includes:
Determine that the user second watches information attentively under current time according to the eye movement data obtained in real time;
Described second is marked to watch information attentively in the test information shown under current time.
12. according to method described in claim 7,8,10,11, which is characterized in that determine institute according to the physical training condition information The executive condition of the training program of user is stated, and training program adjustable strategies are determined according to the executive condition, comprising:
Judge whether the level of fatigue is more than preset grade threshold;
If so, determining that the level of fatigue is more than the duration of preset grade threshold, and according to the duration pair The executive condition of the training program of the user is given a mark;
The tune of the training program is determined according to the score of the tired information of the user and the executive condition of the training program Whole strategy.
13. the method according to claim 1, wherein obtaining the training characteristics information of user, comprising:
Obtain the training characteristics information of the user of eye control equipment acquisition.
14. a kind of training device characterized by comprising
Data obtaining module, for obtaining the training characteristics information of user, the training characteristics information includes and the user The relevant information of eye motion;
Block of state, for determining the physical training condition information of the user, the physical training condition according to the training characteristics information Information includes watching information and tired information attentively;
Training adjustment module, the executive condition of the training program for determining the user according to the physical training condition information, and Training program adjustable strategies are determined according to the executive condition.
15. training device according to claim 14, which is characterized in that the block of state includes first state unit, It is specifically used for:
Eye feature information is determined based on eyes image, and determines the user in training process according to the eye feature information In first watch information attentively, the eyes image is included in the training characteristics information.
16. training device according to claim 14, which is characterized in that the block of state includes the second state cell, It is specifically used for:
The tired information of the user is determined according to pupil information, the fatigue information includes pupil diameter, frequency of wink, eye Closure degree, watch attentively duration, fixation times, twitching of the eyelid amplitude, twitching of the eyelid peak value, in twitching of the eyelid frequency at least one of, the pupil letter Breath is included in the training characteristics information.
17. training device according to claim 16, which is characterized in that second state cell includes:
Triggering command obtains subelement, for obtaining the triggering command for being used to indicate fatigue detecting;
Eye movement data obtains subelement, for obtaining the pupil information of the user in real time according to the triggering command, and is based on The pupil information obtains the eye movement data of user's current state;
Tired information determines subelement, if for detecting the instruction of end of data, according to eye movement data determination The corresponding tired information of user.
18. training device according to claim 17, which is characterized in that second state cell further includes level of fatigue It determines subelement, is specifically used for:
The eye movement data library constructed according to the tired information and in advance, determines the level of fatigue of the user.
19. a kind of equipment, which is characterized in that the equipment includes:
One or more processors;
Storage device, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processors are real The now training method as described in any in claim 1-13.
20. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor The training method as described in any in claim 1-13 is realized when execution.
CN201910156390.4A 2019-03-01 2019-03-01 A kind of training method based on eye movement tracer technique, training device and equipment Pending CN109925678A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910156390.4A CN109925678A (en) 2019-03-01 2019-03-01 A kind of training method based on eye movement tracer technique, training device and equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910156390.4A CN109925678A (en) 2019-03-01 2019-03-01 A kind of training method based on eye movement tracer technique, training device and equipment

Publications (1)

Publication Number Publication Date
CN109925678A true CN109925678A (en) 2019-06-25

Family

ID=66986409

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910156390.4A Pending CN109925678A (en) 2019-03-01 2019-03-01 A kind of training method based on eye movement tracer technique, training device and equipment

Country Status (1)

Country Link
CN (1) CN109925678A (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110495895A (en) * 2019-08-26 2019-11-26 重庆大学 A kind of fatigue detection method and system based on eye-tracking
CN110811645A (en) * 2019-10-15 2020-02-21 南方科技大学 Visual fatigue measuring method and system, storage medium and electronic equipment
CN111160104A (en) * 2019-12-02 2020-05-15 中国联合网络通信集团有限公司 Attention analysis method and device
CN111481411A (en) * 2020-04-20 2020-08-04 绍兴启视电子科技有限公司 Control system of goggles
CN111568367A (en) * 2020-05-14 2020-08-25 中国民航大学 Method for identifying and quantifying eye jump invasion
CN112489804A (en) * 2019-09-12 2021-03-12 北京七鑫易维信息技术有限公司 Aiming prediction method and device
CN113138659A (en) * 2020-01-16 2021-07-20 七鑫易维(深圳)科技有限公司 Method, device and equipment for controlling working mode and storage medium
CN113456075A (en) * 2021-07-02 2021-10-01 西安中盛凯新技术发展有限责任公司 Concentration assessment training method based on eye movement tracking and brain wave monitoring technology
CN113709411A (en) * 2020-05-21 2021-11-26 陈涛 Sports auxiliary training system of MR intelligent glasses based on eye movement tracking technology
CN114299600A (en) * 2022-03-10 2022-04-08 天津市九米九视光技术有限公司 Intelligent feedback method in visual function examination and training
CN114822143A (en) * 2022-06-29 2022-07-29 深圳前海壹路科技有限公司 Military training intelligent examination management system and method
CN115067944A (en) * 2022-08-22 2022-09-20 深圳市心流科技有限公司 Eye movement state evaluation method and device, terminal equipment and storage medium
CN116246332A (en) * 2023-05-11 2023-06-09 广东工业大学 Eyeball tracking-based data labeling quality detection method, device and medium

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1906369A1 (en) * 2006-09-27 2008-04-02 Delphi Technologies, Inc. Real-time method of determining eye closure state using off-line adaboost-over-genetic programming
US20120051597A1 (en) * 2009-03-03 2012-03-01 The Ohio State University Gaze tracking measurement and training system and method
CN102693248A (en) * 2011-04-14 2012-09-26 天脉聚源(北京)传媒科技有限公司 Network information searching method and system
CN103020594A (en) * 2012-12-03 2013-04-03 清华大学苏州汽车研究院(吴江) Fatigue state detecting method for eliminating driver individual difference by utilizing online learning
CN105739705A (en) * 2016-02-04 2016-07-06 重庆邮电大学 Human-eye control method and apparatus for vehicle-mounted system
CN106462733A (en) * 2014-05-19 2017-02-22 微软技术许可有限责任公司 Gaze detection calibration
CN106598221A (en) * 2016-11-17 2017-04-26 电子科技大学 Eye key point detection-based 3D sight line direction estimation method
CN106843500A (en) * 2017-02-27 2017-06-13 南通大学 Human-subject test rehabilitation training system based on the dynamic tracer technique of eye
CN107519622A (en) * 2017-08-21 2017-12-29 南通大学 Spatial cognition rehabilitation training system and method based on virtual reality and the dynamic tracking of eye
CN107563325A (en) * 2017-08-31 2018-01-09 广东小天才科技有限公司 A kind of method, apparatus and terminal device for testing fatigue strength
CN107929007A (en) * 2017-11-23 2018-04-20 北京萤视科技有限公司 A kind of notice and visual capacity training system and method that tracking and intelligent evaluation technology are moved using eye
CN108537161A (en) * 2018-03-30 2018-09-14 南京理工大学 A kind of driving of view-based access control model characteristic is divert one's attention detection method
CN108932473A (en) * 2018-05-28 2018-12-04 中国建设银行股份有限公司 Eye movement feature extracting method, device and storage medium

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1906369A1 (en) * 2006-09-27 2008-04-02 Delphi Technologies, Inc. Real-time method of determining eye closure state using off-line adaboost-over-genetic programming
US20120051597A1 (en) * 2009-03-03 2012-03-01 The Ohio State University Gaze tracking measurement and training system and method
CN102693248A (en) * 2011-04-14 2012-09-26 天脉聚源(北京)传媒科技有限公司 Network information searching method and system
CN103020594A (en) * 2012-12-03 2013-04-03 清华大学苏州汽车研究院(吴江) Fatigue state detecting method for eliminating driver individual difference by utilizing online learning
CN106462733A (en) * 2014-05-19 2017-02-22 微软技术许可有限责任公司 Gaze detection calibration
CN105739705A (en) * 2016-02-04 2016-07-06 重庆邮电大学 Human-eye control method and apparatus for vehicle-mounted system
CN106598221A (en) * 2016-11-17 2017-04-26 电子科技大学 Eye key point detection-based 3D sight line direction estimation method
CN106843500A (en) * 2017-02-27 2017-06-13 南通大学 Human-subject test rehabilitation training system based on the dynamic tracer technique of eye
CN107519622A (en) * 2017-08-21 2017-12-29 南通大学 Spatial cognition rehabilitation training system and method based on virtual reality and the dynamic tracking of eye
CN107563325A (en) * 2017-08-31 2018-01-09 广东小天才科技有限公司 A kind of method, apparatus and terminal device for testing fatigue strength
CN107929007A (en) * 2017-11-23 2018-04-20 北京萤视科技有限公司 A kind of notice and visual capacity training system and method that tracking and intelligent evaluation technology are moved using eye
CN108537161A (en) * 2018-03-30 2018-09-14 南京理工大学 A kind of driving of view-based access control model characteristic is divert one's attention detection method
CN108932473A (en) * 2018-05-28 2018-12-04 中国建设银行股份有限公司 Eye movement feature extracting method, device and storage medium

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110495895B (en) * 2019-08-26 2020-04-28 重庆大学 Fatigue detection method and system based on eye movement tracking
CN110495895A (en) * 2019-08-26 2019-11-26 重庆大学 A kind of fatigue detection method and system based on eye-tracking
CN112489804A (en) * 2019-09-12 2021-03-12 北京七鑫易维信息技术有限公司 Aiming prediction method and device
CN110811645B (en) * 2019-10-15 2022-12-20 南方科技大学 Visual fatigue measuring method and system, storage medium and electronic equipment
CN110811645A (en) * 2019-10-15 2020-02-21 南方科技大学 Visual fatigue measuring method and system, storage medium and electronic equipment
CN111160104A (en) * 2019-12-02 2020-05-15 中国联合网络通信集团有限公司 Attention analysis method and device
CN113138659A (en) * 2020-01-16 2021-07-20 七鑫易维(深圳)科技有限公司 Method, device and equipment for controlling working mode and storage medium
CN111481411A (en) * 2020-04-20 2020-08-04 绍兴启视电子科技有限公司 Control system of goggles
CN111568367A (en) * 2020-05-14 2020-08-25 中国民航大学 Method for identifying and quantifying eye jump invasion
CN111568367B (en) * 2020-05-14 2023-07-21 中国民航大学 Method for identifying and quantifying eye jump invasion
CN113709411A (en) * 2020-05-21 2021-11-26 陈涛 Sports auxiliary training system of MR intelligent glasses based on eye movement tracking technology
CN113709411B (en) * 2020-05-21 2024-05-14 幻蝎科技(武汉)有限公司 Sports auxiliary training system of MR intelligent glasses based on eye tracking technology
CN113456075A (en) * 2021-07-02 2021-10-01 西安中盛凯新技术发展有限责任公司 Concentration assessment training method based on eye movement tracking and brain wave monitoring technology
CN114299600A (en) * 2022-03-10 2022-04-08 天津市九米九视光技术有限公司 Intelligent feedback method in visual function examination and training
CN114822143A (en) * 2022-06-29 2022-07-29 深圳前海壹路科技有限公司 Military training intelligent examination management system and method
CN115067944A (en) * 2022-08-22 2022-09-20 深圳市心流科技有限公司 Eye movement state evaluation method and device, terminal equipment and storage medium
CN116246332A (en) * 2023-05-11 2023-06-09 广东工业大学 Eyeball tracking-based data labeling quality detection method, device and medium

Similar Documents

Publication Publication Date Title
CN109925678A (en) A kind of training method based on eye movement tracer technique, training device and equipment
CN107929007B (en) Attention and visual ability training system and method using eye tracking and intelligent evaluation technology
US20240148244A1 (en) Interactive system for vision assessment and correction
US11881294B2 (en) Systems and methods for a web platform hosting one or more assessments of human visual performance
CN110890140B (en) Virtual reality-based autism rehabilitation training and capability assessment system and method
CN109933193A (en) Intelligent auxiliary training system based on sportsman's eye movement information real-time capture
US20170364732A1 (en) Eye tracking via patterned contact lenses
Islam et al. Cybersickness prediction from integrated hmd’s sensors: A multimodal deep fusion approach using eye-tracking and head-tracking data
CN102749991B (en) A kind of contactless free space sight tracing being applicable to man-machine interaction
CN111587086A (en) Systems and methods for visual field analysis
CN106060142A (en) Mobile phone capable of checking eyesight, and method for checking eyesight by using mobile phone
CN109700472A (en) A kind of fatigue detection method, device, equipment and storage medium
US10149613B2 (en) Wavefront interactive refraction display
KR20160090065A (en) Rehabilitation system based on gaze tracking
KR102015226B1 (en) Screen golf system
CN113974589B (en) Multi-modal behavior paradigm evaluation optimization system and cognitive ability evaluation method
US20220179205A1 (en) System and method of use including patterned balls for training
US20210401339A1 (en) Adaptive behavioral training, and training of associated physiological responses, with assessment and diagnostic functionality
US20150160474A1 (en) Corrective lens prescription adaptation system for personalized optometry
Zhu et al. Seeing where the stone is thrown by observing a point-light thrower: Perceiving the effect of action is enabled by information, not motor experience
US11768594B2 (en) System and method for virtual reality based human biological metrics collection and stimulus presentation
CN114967128A (en) Sight tracking system and method applied to VR glasses
Wu et al. Portable VR-based concussion diagnostics of mild traumatic brain injury
CN116153510B (en) Correction mirror control method, device, equipment, storage medium and intelligent correction mirror
CN116458835B (en) Detection and prevention system for myopia and amblyopia of infants

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190625