CN106821333A - A kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment - Google Patents
A kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment Download PDFInfo
- Publication number
- CN106821333A CN106821333A CN201710169955.3A CN201710169955A CN106821333A CN 106821333 A CN106821333 A CN 106821333A CN 201710169955 A CN201710169955 A CN 201710169955A CN 106821333 A CN106821333 A CN 106821333A
- Authority
- CN
- China
- Prior art keywords
- user
- module
- scene
- global
- virtual
- 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
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
- A61B5/4088—Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4848—Monitoring or testing the effects of treatment, e.g. of medication
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
- A61B5/7445—Display arrangements, e.g. multiple display units
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B69/00—Training appliances or apparatus for special sports
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
- A63B2071/0638—Displaying moving images of recorded environment, e.g. virtual environment
Abstract
The present invention relates to a kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment, belong to cognition dysfunction rehabilitation detection field, the present invention is not bound with scene to solve the rehabilitation software of prior art, thus resulting in the person of being trained to can not be applied in actual life, the shortcoming of therapeutic effect, and a kind of cognition dysfunction rehabilitation detection means based on virtual scene is proposed, including at least one scene, global counting module, indicating module and customer location detection module：Customer location detection module is used to detect particular location of the user in virtual scene；Indicating module is used to guide user to be operated according to prompt message；Global counting module is used to judge according to the value of global counting variable the rehabilitation degree of user；Any combination of each scene comprising any detection module and detection module.Each detection module detects the rehabilitation efficacy of different aspect.The present invention is applied to cognition dysfunction rehabilitation equipment.
Description
Technical field
The present invention relates to a kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment,
Belong to cognition dysfunction rehabilitation detection field.
Background technology
It is main based on the conventional methods such as limbs, speech therapy in the rehabilitation of Chinese tradition meaning.Because Chinese patients are general
All over thinking stand, can walk, can say the purpose for just having reached rehabilitation, such patient is difficult that recurrence is social and recurrence is damaged
Work position before wound, this not only produces huge physiology to patient itself, family members, and psychological impact causes quality of life to decline,
And huge financial burden can be brought to family where patient and society.On the one hand the main cause for causing present situation is state
Interior patient and family members also do not have deeper understanding to cognitive function rehabilitation, and demand is weak compared with limb rehabilitating, are allowed to development and more delay
Slowly；On the other hand, the domestic pattern in training therapist is, first theories of learning knowledge, after after upper clinic not according to the need of hospital
Ask and be selected to physiotherapist, Oc Th or speech therapist etc..Drawback is that the knowledge of rehabilitation range learned is big
In depth, wherein cognitive rehabilitation dysfunction rehabilitation is not directed to excessive interior simply as content is understood in teaching process
Hold.
The training majority of domestic cognition dysfunction is confined to basic cognitive training at present, for example, color, shape, greatly
It is small, the cognitive training such as object names, and that the Premium Features training of cognitive function of the rehabilitation of cognition dysfunction is related to is considerably less.
In the prior art, the person of being trained to has been after cognitive training has been received, and due to the influence of own bodies situation, (directive force hinders
Hinder, obstacle etc. in memory), timely and effectively can not all be applied in reality, prevent the person of being trained to from timely checking training
Validity.For example, the training of the executive capability that the person of being trained to is carried out in treatment mechanism, after the completion of training, due to the person's of being trained to
Own bodies situation (also with directive force and memory disorder), the person of being trained to can not be to being applied in actual life
(going to supermarket to do shopping), prevents from going astray from the group.Document shows, the person's of being trained to application training content in reality in a short time, to training
The optimal effect of result.And if after the completion of training, the inspection of its validity is carried out in foreign environment, the spirit of the person of being trained to and
Psychological levels will change so as to influence training effect.
In notice training, compare one of typical method for Shu Erte grid trainings：On a square card
25 grids, arbitrarily fill in totally 25 numerals such as Arabic numerals 1-25 in grid.During training, it is desirable to which the person of being trained to uses hand
Finger points out its position successively by the order of 1-25, while chant speaking, trainer records the time used on one side.Count up to 25 numbers
The time is shorter used by word, and notice level is higher.Though the method can be rated as in terms of training notice especially sustained notice
Classics, but for the major part person of being trained to, it is necessary to abstract training is changed into when they are applied in reality
The application of reality, this is an extremely complex process, and not all person of being trained to has this ability, so as to considerably increase
The conversion difficulty instructed, and training effect is influenceed.
Meanwhile, on cognition dysfunction rehabilitation software aspects, some enterprises have been directed to, and are mainly seated in section of hospital
Room, is used by number of times, used as auxiliary treatment project.And main Technology origin is the software systems for copying the U.S. and Germany.
It is less that oneself is developed, and level is relatively low, mainly (shape, color, notice, brief overview type note based on basic cognition
Recall power), and without the training method of autonomous core.Newer, more typical training software is as shown in the table：
As can be seen from the above table, most associated treatment software is not bound with scene, thus results in the person of being trained to not
Can be applied in actual life.Therefore a kind of new rehabilitation efficacy detection method and therapeutic equipment is needed to solve this
One problem.
The content of the invention
Rehabilitation software the invention aims to solve prior art is not bound with scene, thus results in and is instructed
White silk person can not be applied in actual life, the shortcoming of therapeutic effect, and propose a kind of cognitive work(based on virtual scene
Can obstacle rehabilitation detection means, method and therapeutic equipment.
According to the first aspect of the invention, there is provided a kind of cognition dysfunction rehabilitation detection dress based on virtual scene
Put, including at least one scene, global counting module, indicating module and customer location detection module, wherein：Customer location is examined
Surveying module is used to detect the particular location that user is in virtual scene, sends position location information；Indicating module is used for root
Prompt message is produced according to position location information, to guide user to be operated according to prompt message；Global counting module is included from 0
The global counting variable for starting counting up, global counting module is used to judge according to the value of global counting variable the rehabilitation journey of user
Degree；
Each scene includes following module of any one module or any two and the above and combinations thereof：
Directive force test module, including：Input block, the information for receiving user input；Judging unit, for judging
Whether the information for being input into matches with prompt message, if matching, global counting variable adds 1；
Executive capability test module, including：Target object generation unit, for generating target object to be contacted；Collision
Detection unit, represents whether the virtual pattern of user's hand collides with target object for detecting, if colliding, entirely
Office's counting variable adds 1；
Quantify aptitude tests module, including：Target object generation unit, is used to test quantization journey for generating at least one
The object of degree；Collision detection unit, for detecting the virtual pattern and the object for testing quantization degree that represent for hand
Whether collide, if colliding, send selection signal；Judging unit, for after selection signal is received, judging to use
In the property tag value of object of test quantization degree whether be preset value, if so, then global counting variable adds 1；
Contrast recognition capability test module, including contrast identification object generation unit, for generating two mesh to be distinguished
There is at least one selected difference position between mark object, target object；Distinguishing mark unit, for passing through input according to user
The ad-hoc location of the cue mark target object of module input；Difference detection unit, for by the ad-hoc location of user's mark with
Selected difference position is matched, if the match is successful, global counting variable adds 1；
Object names identification module, including：Title recognizes object generation unit, for generating at least one thing to be identified
Body, each one title of object correspondence to be identified；One of them object to be identified is chosen to be target object；Selection prompting is single
Unit, for generating the graphics field for user's selection, each graphics field corresponds to a title for object to be identified；
Title recognition detection unit, for title and object representated by region that user is selected by input module
The title of body is matched, if the match is successful, global counting variable adds 1；Specified object chooses identification module, including：It is to be selected
Object generation unit is taken, for generating at least one object to be chosen, wherein specific one object to be chosen is used as selected thing
Body；Collision detection unit, represents whether the virtual pattern of user's hand collides with object to be chosen for detecting, if so,
Then send judgement signal；Object chooses judging unit, and whether the object to be chosen for judging to collide is selected object, if
It is that then global counting variable adds 1；
Object space recognition capability test module, including：Object generation unit to be allocated, treats point for generating at least one
With object；Position generation unit, is used to match the virtual location of object to be allocated for generating at least one；Matching relationship is by referring to
Show that the configured information that module sends determines；Location identification capability judging unit, for judging whether each object to be allocated is located
At matched virtual location, if so, then global counting variable adds 1；
Sound recognition abilities test module, including：Voice playing unit, for the good audio-frequency information of played pre-recorded；
Voice receiving unit, the voice messaging for obtaining user input；Speech recognition capabilities judging unit, for will record number sound
Frequency information is matched with the voice messaging of user input, if matching degree is higher than default value, global counting variable adds 1.
According to the second aspect of the invention, there is provided a kind of cognition dysfunction rehabilitation detection side based on virtual scene
Method, method is applied to virtual scene, and method includes global counting step, indicates step and customer location detecting step：User
Position detecting step sends position location information for detecting the particular location that user is in virtual scene；Indicate step
For producing prompt message according to position location information, to guide user to be operated according to prompt message；Global counting module
Rehabilitation degree for judging user according to the value of global counting variable；Global technique variable is from 0 variable for starting counting up；
Method is used for the step of following any one step or any two and the above are performed in virtual scene and its group
Close；
Directive force testing procedure, including：Receive the information of user input；Judge for be input into information be with prompt message
No matching, if matching, global counting variable adds 1；
Executive capability testing procedure, including：Generation target object to be contacted；Detection represents the virtual pattern of user's hand
Whether collided with target object, if colliding, global counting variable adds 1；
Quantify aptitude tests step, including：Generation at least one is used to test the object of quantization degree；Detection expression is used for
The virtual pattern of hand, if colliding, sends selection signal with for testing whether the object of quantization degree collides；
After selection signal is received, whether the property tag value for judging the object for testing quantization degree is preset value, if so, then
Global counting variable adds 1；
Contrast recognition capability testing procedure, including：Have at least between two target objects to be distinguished of generation, target object
One selected difference position；The ad-hoc location of the cue mark target object being input into by input module according to user；To use
The ad-hoc location of family mark is matched with selected difference position, if the match is successful, global counting variable adds 1；
Object names identification step, including：At least one object to be identified is generated, each object correspondence one to be identified
Title；One of them object to be identified is chosen to be graphics field of the target object generation for user's selection, each graphics field
Corresponding to a title for object to be identified；The title representated by region and target object that user is selected by input module
Title matched, if the match is successful, global counting variable adds 1；
Specified object chooses identification step, including：At least one object to be chosen is generated, wherein specific one waits to choose
Object is used as selected object；Detection represents whether the virtual pattern of user's hand collides with object to be chosen, if so, then sending out
Go out to judge signal；Whether the object to be chosen that judgement collides is selected object, if so, then global counting variable adds 1；
Object space recognition capability testing procedure, including：Generate at least one object to be allocated；Generation at least one is used for
Match the virtual location of object to be allocated；Matching relationship is determined by the configured information that indicating module sends；Judge that each is treated point
With object whether at matched virtual location, if so, then global counting variable adds 1；
Sound recognition abilities testing procedure, including：The good audio-frequency information of played pre-recorded；Obtain the voice of user input
Information；The audio-frequency information that will be recorded number is matched with the voice messaging of user input, if matching degree is higher than default value, entirely
Office's counting variable adds 1.
According to the third aspect of the invention we, there is provided a kind of cognition dysfunction rehabilitation based on virtual scene sets
It is standby, including：
Display device, for display virtual real scene；
Interactive device is for receiving operational order and/or voice that user sends and voice and/or vibration signal is anti-
Feed user；And such as the cognition dysfunction rehabilitation detection means based on virtual scene of first aspect present invention.
Beneficial effects of the present invention are：1st, the virtual reality system based on scene is established, by the life for simulating
Scape simultaneously coordinates instruction, detection functional module, can allow user that basic living technical ability can be just completed during rehabilitation training.
2nd, by global counting module, each side brain function to user draws testing result, is on the one hand easy to statistical analysis, another
Aspect can be directed to the bad part of rehabilitation training effect and carry out Reusability, reach the effect of rehabilitation.3rd, the scene for using is
The scene of closer to reality environment, when user is transformed into actual environment by virtual environment, will not allow user to produce to footpath between fields
The resisting psychology of raw environment such that it is able to reach more preferable rehabilitation training effect.4th, user recovery effects it is bad, life skill
Can it is slightly worse in the case of if be directly trained in actual environment, it is likely that because of user's health is poor, ability
Deficiency causes to cause danger, such as cutter is used in the case where body harmony is not good, or recover not good in memory capability
In the case of gone out, may all cause to accidentally injure or wander away etc. dangerous, and can subtract to greatest extent using device of the invention
Few this dangerous generation, trains the ability of correlation under the environment of safety.
Brief description of the drawings
Fig. 1 is the structural representation of the cognition dysfunction rehabilitation equipment based on virtual scene of the invention；
Fig. 2 is the flow chart of the cognition dysfunction rehabilitation detection method based on virtual scene of the invention.
Specific embodiment
Specific embodiment one：A kind of cognition dysfunction rehabilitation detection dress based on virtual scene of present embodiment
Put, including at least one scene, global counting module, indicating module and customer location detection module, wherein：
Customer location detection module is used to detect the particular location that user is in virtual scene, sends position positioning and believe
Breath.Location information can be represented by two-dimensional coordinate information, it is also possible to by region representation, for example, be by the scene partitioning in kitchen
Some regions, when user enters specific region, location information is indicated as the information in region.
Indicating module is used to produce prompt message according to position location information, to guide user to be grasped according to prompt message
Make.Prompt message can be text information, such as pop-up dialogue box, be write out " date that please be input into today " with word, it is also possible to
Pointed out by voice.
Global counting module includes that global counting module is based on according to the overall situation from the 0 global counting variable for starting counting up
The value of number variable judges the rehabilitation degree of user.The quantity of global counting variable means number of the user by detection project
Amount, specific judgment mode also has corresponding difference according to disparate modules.Can by judging the quantity of global counting module,
Or account for the percentage of total quantity and judge rehabilitation efficacy, such as one has 50 modules, and user all detects it finishing
Afterwards, global counting variable is 30, then the ratio by detection is 60%, can judge that rehabilitation training is imitated by this ratio
Really.Unsanctioned detection project can also be directed to, makes user's Reusability, and then reach rehabilitation efficacy.
Each scene includes following module of any one module or any two and the above and combinations thereof：
Directive force test module, including：Input block, the information for receiving user input；Judging unit, for judging
Whether the information for being input into matches with prompt message, if matching, global counting variable adds 1.This part of module is used for realizing
Directive force rehabilitation training, directive force refers to people in the scene to the understanding of time, place, personage and oneself state.Therefore
Directive force training can be that time, place, personage, oneself state are putd question to, such as by indicating module pop-up dialogue box,
Write out above " scene where please selecting you is parlor or kitchen ", or " please be input into what day is today " etc..
Executive capability test module, including：Target object generation unit, for generating target object to be contacted；Collision
Detection unit, represents whether the virtual pattern of user's hand collides with target object for detecting, if colliding, entirely
Office's counting variable adds 1.This part is that, for carrying out rehabilitation training and test to executive capability, such as prompt message is that " please pick up
Take the magazine on tea table ", then by judging whether the corresponding virtual pattern of the hand of user and magazine there occurs collision, if
It is, then it is assumed that user is conscious to go to have picked up magazine, that is, think that user is made that and meet expected selection.
Quantify aptitude tests module, including：Target object generation unit, is used to test quantization journey for generating at least one
The object of degree；Collision detection unit, for detecting the virtual pattern and the object for testing quantization degree that represent for hand
Whether collide, if colliding, send selection signal；Judging unit, for after selection signal is received, judging to use
In the property tag value of object of test quantization degree whether be preset value, if so, then global counting variable adds 1.Use this part
To detect the computing power of user, computing power be people in the scene to the ability of conclusion and the conversion of numeral, i.e., in scene
Abstract, complicated mathematic(al) representation or numeral is converted to us and may be appreciated mathematical form by mathematical method.For example, carrying
Show information for " please pick up and contain the cup for 1/3 water ", due to 1/3 being directly displayed in reality scene, but pass through
It is abstract in the material (water) of quantization to obtain, therefore this test can detect the computing power of user.
Contrast recognition capability test module, including：Contrast identification object generation unit, for generating two mesh to be distinguished
There is at least one selected difference position between mark object, target object；Distinguishing mark unit, for passing through input according to user
The ad-hoc location of the cue mark target object of module input；Difference detection unit, for by the ad-hoc location of user's mark with
Selected difference position is matched, if the match is successful, global counting variable adds 1.This part is the observation for testing user,
Observation is people's perception activity in the scene, and the objective things feature in scene is perceived by sense organ.For example it is virtual
Scene is parlor, and the picture that two width are slightly different is hung with the wall in parlor, and prompt message is " please find out the difference of two width picture ", then
The difference that user can be drawn by the width of input module mark two, thus examines the observation ability of user.
Object names identification module, including：Title recognizes object generation unit, for generating at least one thing to be identified
Body, each one title of object correspondence to be identified；One of them object to be identified is chosen to be target object；Selection prompting is single
Unit, for generating the graphics field for user's selection, each graphics field corresponds to a title for object to be identified；Title is known
Other detection unit, is carried out for the title representated by region that user is selected by input module and the title of target object
Match somebody with somebody, if the match is successful, global counting variable adds 1.For example, prompt message is " what the title of the magazine of your left-hand side is ",
Then patterned option is given selective.
Specified object chooses identification module, including：Object generation unit to be chosen, for generating at least one thing to be chosen
Body, wherein specific one object to be chosen is used as selected object；Collision detection unit, the void of user's hand is represented for detecting
Intend whether figure collides with object to be chosen, if so, then sending judgement signal；Object chooses judging unit, for judging
Whether the object to be chosen for colliding is selected object, if so, then global counting variable adds 1.This part is the letter to user
Breath disposal ability is trained, and information processing capability is that people scientificlly and effectively collect (search strategy, search hand in the scene
Section) and arrange information (information classification, distinguish error message, arrangement production information), control information, analysis information and therefrom inference
Go out the conclusion for having very big help for correct (effective) decision-making.For example, scene is study, indicating module is indicated " please from bookshelf
Selecting title is《Das Kapital》Book ", user should be noted to judge whether book and specified title on bookshelf identical that is, right
Collection information, the ability of arrangement information are tested.
Object space recognition capability test module, including：Object generation unit to be allocated, treats point for generating at least one
With object；Position generation unit, is used to match the virtual location of object to be allocated for generating at least one；Matching relationship is by referring to
Show that the configured information that module sends determines；Location identification capability judging unit, for judging whether each object to be allocated is located
At matched virtual location, if so, then global counting variable adds 1.For example, scene is kitchen, if object to be allocated is
Dry vegetables and fruit, virtual location are the respective layer in refrigerator, and prompt message is " vegetables to be please put into ground floor, fruit is put
To the second layer ", user is so on the one hand tested to vegetables and the understanding of fruit abstract concept, also test sentencing mathematically
Disconnected power, while also having tested the executive capability of user.
Sound recognition abilities test module, including：Voice playing unit, for the good audio-frequency information of played pre-recorded；
Voice receiving unit, the voice messaging for obtaining user input；Speech recognition capabilities judging unit, for will record number sound
Frequency information is matched with the voice messaging of user input, if matching degree is higher than default value, global counting variable adds 1.This
Part can detect the language ability of user.For example, after thering is newspaper, user to pick up newspaper on the chair in parlor, speech play
Unit (such as the audio playing device in virtual implementing helmet) commences play out the audio corresponding to content of newspaper, then prompting letter
Breath prompting " voice please be followed to be read aloud ", the voice messaging read further according to user judges whether the word content one with newspaper
Cause, the language ability of user is detected with this.
It should be noted that any one in can having above-mentioned each module in a scene, or any various phase
Mutually combination, species is more, and the test to ability is more comprehensive.In addition, above-mentioned each module can be used to test, in the process of test
In respective capabilities actually also to user strengthened, for example, in aptitude tests module is quantified, if the answer of user
Mistake, then we just change one group of similar example and re-start test, has not only obtained multigroup test knot in this process
Really, user also deepens to the concept for quantifying, and this also allows for ability of the user on quantifying and is improved.
Also, it should be noted that being that there is very High relevancy between above-mentioned each module, they are all based on " cognitive energy
Power test " and " living skill lifting " this identical invention thinking, the theoretical association area on cognitive ability are a lot
Paper, therefore the present invention is no longer described in detail to this theory.
Specific embodiment two：Present embodiment from unlike specific embodiment one：Each scene is life field
Scape, each module is used to simulate the cognitive process and action process in living scene.
That is, virtual scene can have very with reselection procedure living scene, so the living skill lifting to user
Big help.
The present invention is different from common virtual reality system, although virtual reality system is all the simulation to actual life,
But and be equipped with indicating module to indicate content of specifically taking action, also test result is not estimated, will more not recognize
In knowing that the theory of aptitude tests incorporates reality environment, the scene of present invention design is not common living scene, therein
The running of modules is theoretical in strict conformity with cognitive science, is the certain capabilities for targetedly testing user, and
And the virtual implementing helmet thus produced can be directed to the effect that the user with cognitive disorder realizes treatment.Common is right
The rehabilitation training of equipment not the being directed to property that real world is simulated, user cannot get clear and definite behavior and indicate, it is unclear that
Whether behavior is correct, cannot also reach effect of the invention.
Other steps and parameter are identical with specific embodiment one.
Specific embodiment three：Present embodiment from unlike specific embodiment one or two：Living scene is kitchen,
Object space recognition capability test module is used to simulate picks up specific food from kitchen, and is placed on the mistake of refrigerator certain layer
Journey；
Customer location detection module is near the refrigerator of kitchen scene for detecting user, sends position location information；
Indicating module receiving position location information, and prompt message is produced, guide user's pickup specific food to be placed on ice
The certain layer of case；
Object generation unit to be allocated is used to generate at least one food；Position generation unit is used to generate in refrigerator extremely
A few layer；Each food is determined with the matching relationship of each layer in refrigerator by the configured information that indicating module sends；Know position
Other ability judging unit is used to judge the certain layer whether each food is in matched refrigerator, if so, then global
Counting variable adds 1.
Other steps and parameter are identical with specific embodiment one or two.
Specific embodiment four：Unlike one of present embodiment and specific embodiment one to three：Scene is parlor,
Quantifying aptitude tests unit is used to simulate the process for choosing the cup containing certain content water；Customer location detection module is used to examine
Survey user to be near the cup of parlor scene, send position location information；Indicating module receiving position location information, and produce
Prompt message, guides user's cup of the pickup containing specific water；Target object generation unit is used to generate at least 4 transparent waters
Cup, respectively half-full cup, full up cup, the cup that water is 1/3 and the cup that water is 3/4；Collision detection unit is used
Represent whether the virtual pattern for hand collides with arbitrary cup in detection, if colliding, send selection letter
Number；Judging unit, whether the property tag value for after selection signal is received, judging selected cup is preset value,
If so, then global counting variable adds 1.
Other steps and parameter are identical with one of specific embodiment one to three.
Specific embodiment five：Unlike one of present embodiment and specific embodiment one to four：Scene is parlor,
Sound recognition abilities test module is used for the process that analog subscriber reads newspaper；Customer location detection module is used to detect at user
Near the newspaper of object, position location information is sent；Indicating module receiving position location information, and prompt message is produced, refer to
Quote family and follow voice reading content of newspaper；Voice playing unit is used for the good sound corresponding to content of newspaper of played pre-recorded
Frequency information；Voice receiving unit is used to obtain the voice messaging that user follows the audio-frequency information to read and produces；Speech recognition
The voice messaging that audio-frequency information and the user that ability judging unit is used to recording number read generation is matched, if matching degree is high
In default value, then global counting variable adds 1.
Other steps and parameter are identical with one of specific embodiment one to four.
Specific embodiment six：Unlike one of present embodiment and specific embodiment one to five：Dress of the invention
Putting also includes memory module, and the historical data produced by described device is used for storing patient.
Other steps and parameter are identical with one of specific embodiment one to five.
Specific embodiment seven：Device of the invention also includes parameter configuration module, for adjusting scene and each mould
Parameter in block.
Other steps and parameter are identical with one of specific embodiment one to six.
Specific embodiment eight：The present invention also provides a kind of cognition dysfunction rehabilitation detection side based on virtual scene
Method, methods described is applied to virtual scene, and methods described includes global counting step, indicates step and customer location detection step
Suddenly：
Customer location detecting step is used to detect the particular location that user is in virtual scene, sends position positioning and believe
Breath.
Indicating step is used to produce prompt message according to position location information, to guide user to be grasped according to prompt message
Make.
Global counting module is used to judge according to the value of the global counting variable rehabilitation degree of user；The global skill
Art variable is from 0 variable for starting counting up.
Methods described be used for the step of following any one step or any two and the above are performed in virtual scene and
Its combination：
Directive force testing procedure, including：Receive the information of user input；Judge for be input into information be with prompt message
No matching, if matching, global counting variable adds 1.
Executive capability testing procedure, including：Generation target object to be contacted；Detection represents the virtual pattern of user's hand
Whether collided with the target object, if colliding, global counting variable adds 1.
Quantify aptitude tests step, including：Generation at least one is used to test the object of quantization degree；Detection expression is used for
Whether the virtual pattern of hand collides with the object for testing quantization degree, if colliding, sends selection
Signal；After selection signal is received, whether the property tag value for judging the object for testing quantization degree is default
Value, if so, then global counting variable adds 1.
Contrast recognition capability testing procedure, including：Have at least between two target objects to be distinguished of generation, target object
One selected difference position；The ad-hoc location of the cue mark target object being input into by input module according to user；To use
The ad-hoc location of family mark is matched with selected difference position, if the match is successful, global counting variable adds 1.
Object names identification step, including：At least one object to be identified is generated, each object correspondence one to be identified
Title；One of them object to be identified is chosen to be graphics field of the target object generation for user's selection, each graphics field
Corresponding to a title for object to be identified；The title representated by region and target object that user is selected by input module
Title matched, if the match is successful, global counting variable adds 1.
Specified object chooses identification step, including：At least one object to be chosen is generated, wherein specific one waits to choose
Object is used as selected object；Detection represents whether the virtual pattern of user's hand collides with object to be chosen, if so, then sending out
Go out to judge signal；Whether the object to be chosen that judgement collides is selected object, if so, then global counting variable adds 1；
Object space recognition capability testing procedure, including：Generate at least one object to be allocated；Generation at least one is used for
Match the virtual location of object to be allocated；Matching relationship is determined by the configured information that indicating module sends；Judge that each is treated point
With object whether at matched virtual location, if so, then global counting variable adds 1.
Sound recognition abilities testing procedure, including：The good audio-frequency information of played pre-recorded；Obtain the voice of user input
Information；The audio-frequency information that will be recorded number is matched with the voice messaging of user input, if matching degree is higher than default value, entirely
Office's counting variable adds 1.
Said process can be briefly expressed with the flow chart shown in Fig. 2.
Specific embodiment eight is identical with the correspondence of specific embodiment one, is not detailed herein.
Specific embodiment nine：The present invention also provides a kind of cognition dysfunction rehabilitation equipment based on virtual scene
100, as shown in figure 1, including：Rehabilitation processor 102, for realizing such as any one institute in specific embodiment one to seven
The detection of the cognition dysfunction rehabilitation based on virtual scene stated；Display device 103, for showing rehabilitation processor 102
The virtual reality scenario for being generated；And interactive device 101, for receiving operational order and/or voice that user sends, send
To rehabilitation processor 102, and voice and/or vibration signal are fed back into user.
Interactive device 101 can be the Bluetooth handle with vibrational feedback function, control stick, touch pad etc..Display device
It can be liquid crystal display.
The present invention can also have other various embodiments, in the case of without departing substantially from spirit of the invention and its essence, this area
Technical staff works as can make various corresponding changes and deformation according to the present invention, but these corresponding changes and deformation should all belong to
The protection domain of appended claims of the invention.
Claims (9)
1. a kind of cognition dysfunction rehabilitation detection means based on virtual scene, it is characterised in that including at least one scene,
Global counting module, indicating module and customer location detection module, wherein：
Customer location detection module sends position location information for detecting the particular location that user is in virtual scene；
Indicating module is used to produce prompt message according to position location information, to guide user to be operated according to prompt message；
Global counting module includes that, from the 0 global counting variable for starting counting up, the global counting module is used for according to described complete
The value of office's counting variable judges the rehabilitation degree of user；
Each described scene includes following module of any one module or any two and the above and combinations thereof：
Directive force test module, including：
Input block, the information for receiving user input；
Judging unit, whether for judging matched with prompt message for the information being input into, if matching, global counting variable adds
1；
Executive capability test module, including：
Target object generation unit, for generating target object to be contacted；
Collision detection unit, represents whether the virtual pattern of user's hand collides with the target object for detecting, if
Collide, then global counting variable adds 1；
Quantify aptitude tests module, including：
Target object generation unit, is used to test the object of quantization degree for generating at least one；
Collision detection unit, represents that the virtual pattern for hand is for testing the object of quantization degree with described for detecting
It is no to collide, if colliding, send selection signal；
Judging unit, for after selection signal is received, judging the attribute tags for testing the object of quantization degree
Whether value is preset value, if so, then global counting variable adds 1；
Contrast recognition capability test module, including：
Contrast identification object generation unit, has at least one for generating between two target objects to be distinguished, target object
Selected difference position；
Distinguishing mark unit, the ad-hoc location of the cue mark target object for being input into by input module according to user；
Difference detection unit, for the ad-hoc location of user's mark to be matched with selected difference position, if the match is successful,
Then global counting variable adds 1；
Object names identification module, including：
Title recognizes object generation unit, for generating at least one object to be identified, each object correspondence one to be identified
Title；One of them object to be identified is chosen to be target object；
Selection Tip element, for generating the graphics field for user's selection, each graphics field corresponds to a thing to be identified
The title of body；
Title recognition detection unit, for title and target object representated by region that user is selected by input module
Title is matched, if the match is successful, global counting variable adds 1；
Specified object chooses identification module, including：
Object generation unit to be chosen, for generating at least one object to be chosen, wherein specific one object to be chosen is made
To select object；
Collision detection unit, represents whether the virtual pattern of user's hand collides with object to be chosen for detecting, if so,
Then send judgement signal；
Object chooses judging unit, and whether the object to be chosen for judging to collide is selected object, if so, then global meter
Number variable adds 1；
Object space recognition capability test module, including：
Object generation unit to be allocated, for generating at least one object to be allocated；
Position generation unit, is used to match the virtual location of object to be allocated for generating at least one；Matching relationship is by indicating
The configured information that module sends determines；
Location identification capability judging unit, for judging each object to be allocated whether in matched virtual location
Place, if so, then global counting variable adds 1；
Sound recognition abilities test module, including：
Voice playing unit, for the good audio-frequency information of played pre-recorded；
Voice receiving unit, the voice messaging for obtaining user input；
Speech recognition capabilities judging unit, for will record number audio-frequency information matched with the voice messaging of user input,
If matching degree is higher than default value, global counting variable adds 1.
2. device according to claim 1, it is characterised in that each described scene is living scene, and described is every
Individual module is used to simulate the cognitive process and action process in living scene.
3. device according to claim 2, it is characterised in that the living scene is kitchen, the object space identification
Aptitude tests module is used to simulate picks up specific food from kitchen, and is placed on the process of refrigerator certain layer；
Customer location detection module is near the refrigerator of kitchen scene for detecting user, sends position location information；
Indicating module receiving position location information, and prompt message is produced, guide user's pickup specific food to be placed on refrigerator
Certain layer；
Object generation unit to be allocated is used to generate at least one food；Position generation unit is used to generate at least in refrigerator
Individual layer；Each food is determined with the matching relationship of each layer in refrigerator by the configured information that indicating module sends；Location recognition energy
Power judging unit is used to judge the certain layer whether each food is in matched refrigerator, if so, then global count
Variable adds 1.
4. device according to claim 2, it is characterised in that the scene is parlor, the quantization aptitude tests unit
The process of the cup containing certain content water is chosen for simulating；
Customer location detection module is near the cup of parlor scene for detecting user, sends position location information；
Indicating module receiving position location information, and prompt message is produced, guide user's cup of the pickup containing specific water；
The target object generation unit is used to generate at least 4 transparent water cups, respectively half-full cup, full up cup, water
For 1/3 cup and water be 3/4 cup；
Collision detection unit is used to detect whether expression collides for the virtual pattern of hand with arbitrary cup, if occurring
Collision, then send selection signal；
Judging unit, whether the property tag value for after selection signal is received, judging selected cup is preset value,
If so, then global counting variable adds 1.
5. device according to claim 2, it is characterised in that the scene is parlor, the Sound recognition abilities test
Module is used for the process that analog subscriber reads newspaper；
Customer location detection module is near the newspaper of object for detecting user, sends position location information；
Indicating module receiving position location information, and prompt message is produced, guide user to follow voice reading content of newspaper；
The voice playing unit is used for the good audio-frequency information corresponding to content of newspaper of played pre-recorded；
The voice receiving unit is used to obtain the voice messaging that user follows the audio-frequency information to read and produces；
The voice messaging that audio-frequency information and the user that the speech recognition capabilities judging unit is used to recording number read generation enters
Row matching, if matching degree is higher than default value, global counting variable adds 1.
6. device as claimed in any of claims 1 to 5, it is characterised in that also including memory module, for storing
Patient uses the historical data produced by described device.
7. device according to claim 6, it is characterised in that also including parameter configuration module, for adjust scene and
Parameter in modules.
8. a kind of cognition dysfunction rehabilitation detection method based on virtual scene, it is characterised in that methods described is applied to void
Intend scene, methods described includes global counting step, indicates step and customer location detecting step：
Customer location detecting step sends position location information for detecting the particular location that user is in virtual scene；
Indicating step is used to produce prompt message according to position location information, to guide user to be operated according to prompt message；
Global counting module is used to judge according to the value of the global counting variable rehabilitation degree of user；The global technique becomes
Amount is from 0 variable for starting counting up；
Methods described is used for the step of following any one step or any two and the above are performed in virtual scene and its group
Close；
Directive force testing procedure, including：
Receive the information of user input；
Judge whether matched with prompt message for the information being input into, if matching, global counting variable adds 1；
Executive capability testing procedure, including：
Generation target object to be contacted；
Detection represents whether the virtual pattern of user's hand collides with the target object, if colliding, overall situation meter
Number variable adds 1；
Quantify aptitude tests step, including：
Generation at least one is used to test the object of quantization degree；
Detection represents whether the virtual pattern for hand collides with the object for testing quantization degree, if occurring
Collision, then send selection signal；
After selection signal is received, whether the property tag value for judging the object for testing quantization degree is default
Value, if so, then global counting variable adds 1；
Contrast recognition capability testing procedure, including：
There is at least one selected difference position between two target objects to be distinguished of generation, target object；
The ad-hoc location of the cue mark target object being input into by input module according to user；
The ad-hoc location of user's mark is matched with selected difference position, if the match is successful, global counting variable adds
1；
Object names identification step, including：
At least one object to be identified is generated, each one title of object correspondence to be identified；One of them object quilt to be identified
It is chosen to be target object
For the graphics field of user's selection, each graphics field corresponds to a title for object to be identified for generation；
The title representated by region that user is selected by input module is matched with the title of target object, if matching into
Work(, then global counting variable add 1；
Specified object chooses identification step, including：
At least one object to be chosen of generation, wherein specific one object to be chosen is used as selected object；
Detection represents whether the virtual pattern of user's hand collides with object to be chosen, if so, then sending judgement signal；
Whether the object to be chosen that judgement collides is selected object, if so, then global counting variable adds 1；
Object space recognition capability testing procedure, including：
Generate at least one object to be allocated；
Generation at least one is used to match the virtual location of object to be allocated；The configured information that matching relationship is sent by indicating module
It is determined that；
Whether each object to be allocated is judged at matched virtual location, if so, then global counting variable adds 1；
Sound recognition abilities testing procedure, including：
The good audio-frequency information of played pre-recorded；
Obtain the voice messaging of user input；
The audio-frequency information that will be recorded number is matched with the voice messaging of user input, if matching degree is higher than default value, entirely
Office's counting variable adds 1.
9. a kind of cognition dysfunction rehabilitation equipment based on virtual scene, it is characterised in that including：
Rehabilitation processor, for realizing the cognitive work(based on virtual scene as claimed in any of claims 1 to 7 in one of claims
Can obstacle rehabilitation detection；
Display device, for showing the virtual reality scenario that rehabilitation processor is generated；And
Interactive device, for receiving operational order and/or voice that user sends, sends to rehabilitation processor, and by language
Sound and/or vibration signal feed back to user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710169955.3A CN106821333A (en) | 2017-03-21 | 2017-03-21 | A kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710169955.3A CN106821333A (en) | 2017-03-21 | 2017-03-21 | A kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106821333A true CN106821333A (en) | 2017-06-13 |
Family
ID=59130987
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710169955.3A Pending CN106821333A (en) | 2017-03-21 | 2017-03-21 | A kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106821333A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107789803A (en) * | 2017-10-31 | 2018-03-13 | 深圳先进技术研究院 | A kind of cerebral apoplexy rehabilitation training of upper limbs method and system |
| CN109192278A (en) * | 2018-08-28 | 2019-01-11 | 齐辉 | Interactive approach and system based on virtual reality |
| CN109173187A (en) * | 2018-09-28 | 2019-01-11 | 广州乾睿医疗科技有限公司 | Control system, the method and device of cognitive rehabilitative training based on virtual reality |
| CN109616193A (en) * | 2018-12-21 | 2019-04-12 | 杭州颐康医疗科技有限公司 | A kind of virtual reality cognitive rehabilitation method and system |
| CN110313895A (en) * | 2019-04-28 | 2019-10-11 | 江南大学 | Training of cognitive function method |
| CN111887845A (en) * | 2020-07-31 | 2020-11-06 | 昆明理工大学 | Attention regulation system based on EEG nerve feedback |
| CN112102344A (en) * | 2020-09-11 | 2020-12-18 | 深圳大学 | Hand-eye coordination test system and method based on image processing |
| CN114129852A (en) * | 2021-12-02 | 2022-03-04 | 上海市第五人民医院 | VR (virtual reality) targeted training system for cognitive impairment |
| CN114241837A (en) * | 2021-11-08 | 2022-03-25 | 福建医科大学 | Virtual teaching assessment system for daily life activity assessment and training |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080280276A1 (en) * | 2007-05-09 | 2008-11-13 | Oregon Health & Science University And Oregon Research Institute | Virtual reality tools and techniques for measuring cognitive ability and cognitive impairment |
| US20120108909A1 (en) * | 2010-11-03 | 2012-05-03 | HeadRehab, LLC | Assessment and Rehabilitation of Cognitive and Motor Functions Using Virtual Reality |
| CN103268392A (en) * | 2013-04-15 | 2013-08-28 | 福建中医药大学 | Cognitive function training system for scene interaction and application method thereof |
| CN106327049A (en) * | 2015-07-08 | 2017-01-11 | 广州市第人民医院 | Cognitive assessment system and application thereof |
| CN106355010A (en) * | 2016-08-30 | 2017-01-25 | 深圳市臻络科技有限公司 | Self-service cognition evaluation apparatus and method |
-
2017
- 2017-03-21 CN CN201710169955.3A patent/CN106821333A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080280276A1 (en) * | 2007-05-09 | 2008-11-13 | Oregon Health & Science University And Oregon Research Institute | Virtual reality tools and techniques for measuring cognitive ability and cognitive impairment |
| US20120108909A1 (en) * | 2010-11-03 | 2012-05-03 | HeadRehab, LLC | Assessment and Rehabilitation of Cognitive and Motor Functions Using Virtual Reality |
| CN103268392A (en) * | 2013-04-15 | 2013-08-28 | 福建中医药大学 | Cognitive function training system for scene interaction and application method thereof |
| CN106327049A (en) * | 2015-07-08 | 2017-01-11 | 广州市第人民医院 | Cognitive assessment system and application thereof |
| CN106355010A (en) * | 2016-08-30 | 2017-01-25 | 深圳市臻络科技有限公司 | Self-service cognition evaluation apparatus and method |
Non-Patent Citations (2)
| Title |
|---|
| D.GOURLAY、K.C.LUN、Y.N.LEE、J.TAY: "Virtual reality for relearning daily living skills", 《INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS》 * |
| 刘林、伍平平、熊巍: "虚拟超市认知康复训练系统开发关键技术研究", 《图学学报》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107789803A (en) * | 2017-10-31 | 2018-03-13 | 深圳先进技术研究院 | A kind of cerebral apoplexy rehabilitation training of upper limbs method and system |
| CN107789803B (en) * | 2017-10-31 | 2020-07-24 | 深圳先进技术研究院 | Cerebral stroke upper limb rehabilitation training method and system |
| CN109192278A (en) * | 2018-08-28 | 2019-01-11 | 齐辉 | Interactive approach and system based on virtual reality |
| CN109173187A (en) * | 2018-09-28 | 2019-01-11 | 广州乾睿医疗科技有限公司 | Control system, the method and device of cognitive rehabilitative training based on virtual reality |
| CN109616193A (en) * | 2018-12-21 | 2019-04-12 | 杭州颐康医疗科技有限公司 | A kind of virtual reality cognitive rehabilitation method and system |
| CN110313895A (en) * | 2019-04-28 | 2019-10-11 | 江南大学 | Training of cognitive function method |
| CN111887845A (en) * | 2020-07-31 | 2020-11-06 | 昆明理工大学 | Attention regulation system based on EEG nerve feedback |
| CN112102344A (en) * | 2020-09-11 | 2020-12-18 | 深圳大学 | Hand-eye coordination test system and method based on image processing |
| CN112102344B (en) * | 2020-09-11 | 2023-07-14 | 深圳大学 | Hand-eye coordination test system and method based on image processing |
| CN114241837A (en) * | 2021-11-08 | 2022-03-25 | 福建医科大学 | Virtual teaching assessment system for daily life activity assessment and training |
| CN114241837B (en) * | 2021-11-08 | 2023-06-30 | 福建医科大学 | Virtual teaching assessment system for daily life activity assessment and training |
| CN114129852A (en) * | 2021-12-02 | 2022-03-04 | 上海市第五人民医院 | VR (virtual reality) targeted training system for cognitive impairment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106821333A (en) | A kind of cognition dysfunction rehabilitation detection means based on virtual scene, method and therapeutic equipment | |
| Rowe et al. | Integrating learning, problem solving, and engagement in narrative-centered learning environments | |
| Bellotti et al. | Designing effective serious games: opportunities and challenges for research | |
| Hughes et al. | The essentials of performance analysis: an introduction | |
| Denison et al. | Effective coaching as a modernist formation: A Foucauldian critique | |
| CN106327049A (en) | Cognitive assessment system and application thereof | |
| CN105105772B (en) | A kind of stimulus information preparation method for cognition ability value test | |
| Hebert | The effects of observing a learning model (or two) on motor skill acquisition | |
| Mironcika et al. | Smart toys design opportunities for measuring children's fine motor skills development | |
| Hainey et al. | Assessment integration in serious games | |
| Ali et al. | Traditional games and social skills of children in the pandemic era | |
| Shahid et al. | Child-robot interaction: playing alone or together? | |
| Whitehill et al. | Towards an optimal affect-sensitive instructional system of cognitive skills | |
| CN107331272A (en) | Medical teaching manikin and application method based on emulation technology | |
| Ramos et al. | Elementary students’ construct of physical education teacher credibility | |
| Freina et al. | Evaluation of Visuo-Spatial Perspective Taking Skills using a Digital Game with Different Levels of Immersion. | |
| Harvey et al. | Ethics in Youth Sport | |
| Pappa et al. | Effective design and evaluation of serious games: The case of the e-VITA project | |
| Gao et al. | Game features in inquiry game-based learning strategies: A systematic synthesis | |
| Jones | Reading John Grisham’s Bleachers with Foucault: lessons for sports retirement | |
| TW201102982A (en) | Game based learning system and the method thereof, and the method of analyzing learning result | |
| Shahid et al. | Who is more expressive during child-robot interaction: Pakistani or Dutch children? | |
| Pinheiro | Motor skill diagnosis: Diagnostic processes of expert and novice coaches | |
| A Alojepan-Mas | The Perceived Effect of Online Games on the Critical Thinking Skills of Grade 9 and 10 High School Students of St. John’s Institute, Inc. | |
| Chinzer et al. | “Escape with Pulcinella”: Development of A Gamified Environment And Pilot Study On Escape Rooms For Language Learning And Cultural Knowledge Acquisition |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170613 |