CN108459705A - A kind of method, apparatus and computer readable storage medium of test image attraction - Google Patents
A kind of method, apparatus and computer readable storage medium of test image attraction Download PDFInfo
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- CN108459705A CN108459705A CN201711395377.1A CN201711395377A CN108459705A CN 108459705 A CN108459705 A CN 108459705A CN 201711395377 A CN201711395377 A CN 201711395377A CN 108459705 A CN108459705 A CN 108459705A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/013—Eye tracking input arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
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Abstract
The invention discloses a kind of method, apparatus and computer readable storage medium of test image attraction, can reflect attraction degree of the image to people comprehensively.The method includes：Eye movement data and eeg data that observer generates when watching test image are collected, the eye movement data includes the timestamp of the coordinate and eye movement point of eye movement point, and the eeg data includes the timestamp of brain electricity numerical value and brain electricity numerical value；Position of the eye movement point in the test image is determined according to the coordinate of the eye movement point, it is determined under identical time stamp according to the timestamp of eye movement point, the brain electricity numerical value of eye movement point position, statistics calculates the eye movement points and brain electricity numerical value respectively, and the image attraction that reflection eye movement and brain electricity numerical value are generated according to preset condition is tried hard to.The embodiment of the present invention obtains corresponding eeg data according to eye movement data, reflects eye movement and brain electric information simultaneously in attraction is tried hard to, so it is comprehensive, intuitively reflect attraction of the whole picture test image to observer.
Description
Technical field
The present invention relates to image processing techniques, the method, apparatus of espespecially a kind of test image attraction and computer-readable
Storage medium.
Background technology
Eye movement is to measure one of the method for the attention power path of people.At home, eye movement is increasingly paid attention to, many well-known
The main more preferable solution for starting to want to find brand promotion by the method for eye-movement measurement of brand.And in the same of eye-movement measurement
When, EEG measuring also can preferably coordinate advertiser.But in traditional eye movement and EEG measuring research, eye movement is always with eye
What the mode of motion video showed, brain electricity is always to be showed in a manner of brain electricity curve, eye movement result and brain electricity knot
Fruit can not be used in combination.
Invention content
In order to solve the above technical problem, the present invention provides a kind of method, apparatus of test image attraction and calculating
Machine readable storage medium storing program for executing can reflect attraction degree of the image to people comprehensively.
In order to reach the object of the invention, the present invention provides a kind of methods of test image attraction, including：
Eye movement data and eeg data that observer generates when watching test image are collected, the eye movement data includes eye
The timestamp of the coordinate and eye movement point of dynamic point, the eeg data includes the timestamp of brain electricity numerical value and brain electricity numerical value；
Position of the eye movement point in the test image is determined according to the coordinate of the eye movement point, according to the time of eye movement point
Stamp determines under identical time stamp that the brain electricity numerical value of eye movement point position counts calculate the eye movement points and brain electricity number respectively
Value, the image attraction that reflection eye movement and brain electricity numerical value are generated according to preset condition are tried hard to.
Optionally, the brain electricity numerical value includes brain electricity mood value and/or brain electricity input.
Optionally, the statistics respectively calculates the eye movement points and brain electricity numerical value, and reflection eye is generated according to preset condition
The attraction of the image of dynamic rail mark and brain electricity numerical value is tried hard to, including：
The test image is divided into the identical region of multiple sizes, calculates separately the eye movement point number in each region
With brain electricity numerical value mean value；
It establishes image attraction identical with the test image size to try hard to, attracts try hard to and test chart in described image
As marking the eye movement point number and brain electricity numerical value mean value in corresponding each region respectively, the brain electricity numerical value mean value includes brain
Electric mood mean value and/or brain electricity put into mean value.
Optionally, described to mark the eye movement point number in each region, including：
The default eye movement point threshold value met according to eye movement point number in current region determines the eye movement glyph in the region
Number or color, be marked in the region；The default eye movement point threshold value has multiple, each default eye movement point threshold value correspondence
A kind of eye movement point symbol or color.
Optionally, it is described to mark the brain in each region when the brain electricity numerical value mean value includes brain electricity mood mean value
Electric numerical value, including：
The brain electricity mood mean value in current region is judged if it is greater than default brain electricity mood threshold value, then in the region internal standard
Remember the brain electricity emotag corresponding to the default brain electricity mood threshold value.
Optionally, it is described to mark the brain in each region when the brain electricity numerical value mean value includes brain electricity input mean value
Electric numerical value, including：
Judge that the brain electricity input mean value in current region puts into threshold value if it is greater than default brain electricity, then in the region internal standard
Remember the brain electricity input symbol corresponding to the default brain electricity input threshold value.
In order to reach the object of the invention, the present invention also provides a kind of device of test image attraction, described device packets
It includes collection module, statistical module and attraction and tries hard to generation module, wherein：
The collection module, the eye movement data and eeg data generated for collecting observer when watching test image,
The eye movement data includes the timestamp of the coordinate and eye movement point of eye movement point, and the eeg data includes brain electricity numerical value and brain electricity
The timestamp of numerical value；
The statistical module, for determining position of the eye movement point in the test image according to the coordinate of the eye movement point
It sets, is determined under identical time stamp according to the timestamp of eye movement point, the brain electricity numerical value of eye movement point position counts calculate institute respectively
State eye movement points and brain electricity numerical value；
Generation module is tried hard in the attraction, the image for generating reflection eye movement and brain electricity numerical value according to preset condition
Attraction is tried hard to.
Optionally, the statistical module counts respectively calculates the eye movement points and brain electricity numerical value, including：The statistics mould
The test image is divided into the identical region of multiple sizes by block, calculates separately eye movement point number and brain electricity in each region
Numerical value mean value；
The image attraction that generation module generates reflection eye movement and brain electricity numerical value according to preset condition is tried hard in the attraction
Try hard to, including：The attraction is tried hard to generation module foundation image attraction identical with the test image size and is tried hard to, described
Image attracts in each region corresponding with test image tried hard to marks the eye movement point number and brain electricity numerical value mean value respectively,
The brain electricity numerical value mean value includes brain electricity mood mean value and/or brain electricity input mean value.
Optionally, the attraction tries hard to generation module and marks the eye movement point number in each region, including：The suction
Gravitation figure generation module determines the eye in the region according to the default eye movement point threshold value that eye movement point number in current region is met
Dynamic point symbol or color, are marked in the region；The default eye movement point threshold value has multiple, each default eye movement point threshold
It is worth a kind of corresponding eye movement point symbol or color；
The attraction tries hard to generation module and marks the brain electricity numerical value in each region, including：
When the brain electricity numerical value mean value includes brain electricity mood mean value, the attraction is tried hard to generation module and is judged in current region
Brain electricity mood mean value if it is greater than default brain electricity mood threshold value, then brain electricity mood threshold value is preset described in the region internal labeling
Corresponding brain electricity emotag；When the brain electricity numerical value mean value includes brain electricity input mean value, generation module is tried hard in the attraction
Judge that the brain electricity input mean value in current region puts into threshold value if it is greater than default brain electricity, then it is pre- described in the region internal labeling
If brain electricity puts into the brain electricity corresponding to threshold value and puts into symbol.
In order to reach the object of the invention, the present invention also provides a kind of computer readable storage mediums, are stored thereon with meter
Calculation machine program, when which is executed by processor the step of the realization above method.
The embodiment of the present invention also measures eeg data, and according to eye movement data acquisition pair while measuring eye movement data
Eeg data is answered, eye movement data is combined with eeg data, in attraction is tried hard to while reflecting eye movement and brain electric information, in turn
Comprehensively, intuitively reflect attraction of the whole picture test image to observer.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The purpose of the present invention and other advantages can be by specification, rights
Specifically noted structure is realized and is obtained in claim and attached drawing.
Description of the drawings
Attached drawing is used for providing further understanding technical solution of the present invention, and a part for constitution instruction, with this
The embodiment of application technical solution for explaining the present invention together, does not constitute the limitation to technical solution of the present invention.
Fig. 1 is one method flow diagram of the embodiment of the present invention；
Fig. 2 is two devices structural schematic diagram of the embodiment of the present invention；
Fig. 3 is that the present invention tries hard to using the attraction in example.
Specific implementation mode
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature mutually can arbitrarily combine.
Step shown in the flowchart of the accompanying drawings can be in the computer system of such as a group of computer-executable instructions
It executes.Also, although logical order is shown in flow charts, and it in some cases, can be with suitable different from herein
Sequence executes shown or described step.
Embodiment one
The present embodiment describes a kind of method of test image attraction, as shown in Figure 1, the method includes：
Step 11, eye movement data and eeg data that observer generates when watching test image, the eye movement number are collected
According to the timestamp of coordinate and eye movement point including eye movement point, the eeg data includes the time of brain electricity numerical value and brain electricity numerical value
Stamp；
Step 12, position of the eye movement point in the test image is determined according to the coordinate of the eye movement point, according to eye movement
The timestamp of point determines under identical time stamp that the brain electricity numerical value of eye movement point position counts calculate the eye movement points respectively
With brain electricity numerical value；
Step 13, the image attraction for reflection eye movement and brain electricity numerical value being generated according to preset condition is tried hard to.
Using scheme described in the present embodiment, go out the statistics of eye movement point, brain electricity numerical value in described image attraction chart display
Result of calculation can intuitively reflect the sight track of observer by eye movement point mark, can be intuitive by brain electricity numerical value
Ground reflects stimulation degree of the test image to observer, and then comprehensively, intuitively reflects whole picture test image to observation
The attraction degree of person.
In one alternate embodiment, the brain electricity numerical value includes brain electricity mood value and/or brain electricity input.Wherein, brain
Electric mood value indicates interest level of the observer to test image；Brain electricity input indicates that observer is absorbed in test image
Degree.Brain electricity mood value and brain electricity input can be acquired by instrument to be obtained, and can also be calculated and be obtained by algorithm.
In above-mentioned steps 12, the statistics respectively calculates the eye movement points and brain electricity numerical value, including：By the test chart
As being divided into the identical region of multiple sizes, eye movement point number and brain electricity numerical value mean value in each region are calculated separately；
In above-mentioned steps 13, the image attraction that reflection eye movement and brain electricity numerical value is generated according to preset condition
Figure, including：
It establishes image attraction identical with the test image size to try hard to, attracts try hard to and test chart in described image
As marking the eye movement point number and brain electricity numerical value mean value in corresponding each region respectively, the brain electricity numerical value mean value includes brain
Electric mood mean value and/or brain electricity put into mean value.
The image attraction of generation is tried hard to add the identical figure layer of a size in test image, can also be direct
Using test image, it is marked in test image.
Wherein, described to mark the eye movement point number in each region, including：According to eye movement point number in current region
The default eye movement point threshold value met determines the eye movement point symbol or color in the region, is marked in the region；Institute
Stating default eye movement point threshold value has multiple, and each default eye movement point threshold value corresponds to a kind of eye movement point symbol or color.
It is described to mark the brain electricity numerical value in each region when the brain electricity numerical value mean value includes brain electricity mood mean value,
Including：The brain electricity mood mean value in current region is judged if it is greater than default brain electricity mood threshold value, then in the region internal labeling
Brain electricity emotag corresponding to the default brain electricity mood threshold value.
It is described to mark the brain electricity numerical value in each region when the brain electricity numerical value mean value includes brain electricity input mean value,
Including：Judge that the brain electricity input mean value in current region puts into threshold value if it is greater than default brain electricity, then in the region internal labeling
Brain electricity corresponding to the default brain electricity input threshold value puts into symbol.
It can intuitively reflect whether observer is interested in test image and interested by brain electricity mood label
Region, by brain electricity input label can intuitively reflect absorbed degree and absorbed area of the observer to test image
Domain.Brain electricity mood and/or brain electricity input are coordinated with eye movement again, by the visual mode such as color or symbol by these
Data are shown, and reflect to various dimensions attraction of the test image to people, enable researchers to be visually known observer
When watching the different location of test image, what mood and/or input brain electricity index have change, can be preferably to test image
It is designed evaluation and result estimate.
Embodiment two
The device of above-described embodiment method is realized in the present embodiment description, and the elaboration of method is also suitable in above-described embodiment
In the present embodiment.As shown in Fig. 2, described device, which includes collection module 21, statistical module 22 and attraction, tries hard to generation module 23,
In：
The collection module 21, for collecting the eye movement data and brain electricity number that observer generates when watching test image
Include the timestamp of the coordinate and eye movement point of eye movement point according to, the eye movement data, the eeg data include brain electricity numerical value and
The timestamp of brain electricity numerical value；
The statistical module 22, for determining position of the eye movement point in the test image according to the coordinate of the eye movement point
It sets, is determined under identical time stamp according to the timestamp of eye movement point, the brain electricity numerical value of eye movement point position counts calculate institute respectively
State eye movement points and brain electricity numerical value；
Generation module 23 is tried hard in the attraction, the figure for generating reflection eye movement and brain electricity numerical value according to preset condition
Try hard to as attracting.
In one alternate embodiment, the statistical module 22 counts respectively calculates the eye movement points and brain electricity numerical value,
Including：The test image is divided into the identical region of multiple sizes by the statistical module 22, is calculated separately in each region
Eye movement point number and brain electricity numerical value mean value；
The image suction that generation module 23 generates reflection eye movement and brain electricity numerical value according to preset condition is tried hard in the attraction
Gravitation figure, including：The attraction is tried hard to the foundation of generation module 23 image attraction identical with the test image size and is tried hard to,
Described image attracts in each region corresponding with test image tried hard to marks the eye movement point number and brain electricity numerical value respectively
Mean value, the brain electricity numerical value mean value include brain electricity mood mean value and/or brain electricity input mean value.
In one alternate embodiment, the attraction tries hard to generation module 23 and marks the eye movement point in each region
Number, including：
The default eye movement point threshold value that generation module 23 is met according to eye movement point number in current region is tried hard in the attraction
The eye movement point symbol or color for determining the region, are marked in the region；The default eye movement point threshold value have it is multiple,
Each default eye movement point threshold value corresponds to a kind of eye movement point symbol or color.
In one alternate embodiment, the attraction tries hard to generation module 23 and marks the brain electricity number in each region
Value, including：
When the brain electricity numerical value mean value includes brain electricity mood mean value, the attraction is tried hard to generation module and is judged in current region
Brain electricity mood mean value if it is greater than default brain electricity mood threshold value, then brain electricity mood threshold value is preset described in the region internal labeling
Corresponding brain electricity emotag；When the brain electricity numerical value mean value includes brain electricity input mean value, generation module is tried hard in the attraction
Judge that the brain electricity input mean value in current region puts into threshold value if it is greater than default brain electricity, then it is pre- described in the region internal labeling
If brain electricity puts into the brain electricity corresponding to threshold value and puts into symbol.
Computer program realization also can be used in one method of above-described embodiment, realizes the computer journey of one method of above-described embodiment
Sequence can be stored on a computer readable storage medium.
Using example
One method of embodiment is described in detail by taking eye movement combination brain electricity mood and brain electricity input as an example in this example.This
Vision material described in example, test material refer both to test image.In this example, the survey of eye movement and brain electricity is carried out to vision material
The index of various dimensions is included visually in vision material by calculating after being collected into the bottom data of eye movement and brain electricity by examination
On.This example includes the following steps：
Step 1, project is established, and uploads a pictures as test material, issues project；
Step 2, the electroencephalograph gathered data that the eye tracker and frequency that frequency of use is 30HZ are 10HZ, eye tracker production per second
Go out 30 eye movement points, 10 brain electricity points of electroencephalograph output per second；
Part eye movement data is shown in Table 1, and part eeg data is shown in Table 2, wherein SampleID is sample ID, is test sample
Unique distinguishing mark；ProjectID is item id, is the unique identification mark of project；MatterID is material ID, is test
The unique identification mark of material；X, y are the coordinates of eye movement point；Emotion is brain electricity sentiment indicator；Engagement is that brain electricity is thrown
Enter index；Time is timestamp.
Step 3, it is that unit divides material cell with 10px (pixel)；
This example is only illustrated by taking 10px as an example, in other examples, other pixels can also be used to divide region.
Step 4, according to the eye movement point coordinates in eye movement table in database, position of the eye movement point in material cell is determined
It sets；
Step 5, corresponding brain electricity point is found out according to the timestamp of eye movement point in eye movement table, and confirms brain electricity point in material unit
Position in lattice corresponds to the position of eye movement point；
Step 6, it calculates eye movement data and attracts according to preset condition filling and try hard to；
Eye movement data calculates in this example and fill method is as follows：
The number (being denoted as X) for calculating eye movement point shared by each cell, as X ＞ 95%, marking unit lattice are red, generation
The duration that table is averagely paid close attention to is very long；As 95% ＞ X ＞ 75%, marking unit lattice are blue, represent the duration averagely paid close attention to
It is long；As 75% ＞ X ＞ 55%, marking unit lattice are green, represent someone's viewing；As 55% ＞ X ＞ 25%, label
Cell is yellow, and the people for representing viewing is less；As 25% ＞ X ＞ 0%, marking unit lattice are transparent, represent unmanned viewing.
5 eye movement point threshold values (including 0%, 25%, 55%, 75% and 95%) are provided in this example, in other examples
In, it could be provided as 6 or 4 or 3 as needed.
Step 7, it calculates eeg data and attracts according to preset condition filling and try hard to；
Eeg data calculates in this example and fill method is as follows：
The mood mean value (being denoted as Y) for calculating the brain electricity point shared by each cell, works as Y<Then it is sky when 15；Work as Y>When 15,
It is denoted as zero, wherein 15 be empirical value；
The input mean value (being denoted as Z) for calculating the brain electricity point shared by each cell, works as Z<Then it is sky when 15；Work as Z>When 15,
Be denoted as+, wherein 15 be empirical value.
In this example, brain electricity mood threshold value and brain electricity input threshold value are identical, in other examples, brain electricity mood threshold value with
Brain electricity puts into threshold value can not also be identical, and is configured differently than this exemplary value.
Step 8, it obtains attracting as shown in Figure 3 after filling and try hard to.
The attraction generated by multidimensional index is tried hard to analyze：
Such as：When red regional percentage is more than entire picture 50%, illustrate that picture integrally attracts attention very much, higher than flat
It is horizontal；
When red regional percentage is less than entire picture 50%, illustrate that the level of the attraction attention of picture entirety is weaker,
Less than average level；
When the position for having zero display, when illustrating to watch this position, the mood of people is relatively high；
When the position for having+showing, when illustrating to watch this position, the engagement of people is relatively high.
This example is directed to whole picture vision material, using indexs such as brain electricity mood, brain electricity inputs, coordinates the hotspot graph of eye movement,
And by brain electricity index and corresponding with material position, the visual mode such as symbol is watched attentively by changing picture color degree and addition
Multi-dimensional data is shown, people can be got information about when watching the different location of vision material, mood and input
What two brain electricity indexs have change, and preferably can be designed evaluation and result estimate to vision material.
Table 1
Table 2
It will appreciated by the skilled person that whole or certain steps in method disclosed hereinabove, system, dress
Function module/unit in setting may be implemented as software, firmware, hardware and its combination appropriate.In hardware embodiment,
Division between the function module/unit referred in the above description not necessarily corresponds to the division of physical unit；For example, one
Physical assemblies can have multiple functions or a function or step that can be executed by several physical assemblies cooperations.Certain groups
Part or all components may be implemented as by processor, such as the software that digital signal processor or microprocessor execute, or by
It is embodied as hardware, or is implemented as integrated circuit, such as application-specific integrated circuit.Such software can be distributed in computer-readable
On medium, computer-readable medium may include computer storage media (or non-transitory medium) and communication media (or temporarily
Property medium).As known to a person of ordinary skill in the art, term computer storage medium is included in for storing information (such as
Computer-readable instruction, data structure, program module or other data) any method or technique in the volatibility implemented and non-
Volatibility, removable and nonremovable medium.Computer storage media include but not limited to RAM, ROM, EEPROM, flash memory or its
His memory technology, CD-ROM, digital versatile disc (DVD) or other optical disc storages, magnetic holder, tape, disk storage or other
Magnetic memory apparatus or any other medium that can be used for storing desired information and can be accessed by a computer.This
Outside, known to a person of ordinary skill in the art to be, communication media generally comprises computer-readable instruction, data structure, program mould
Other data in the modulated data signal of block or such as carrier wave or other transmission mechanisms etc, and may include any information
Delivery media.
Although disclosed herein embodiment it is as above, the content only for ease of understanding the present invention and use
Embodiment is not limited to the present invention.Technical staff in any fields of the present invention is taken off not departing from the present invention
Under the premise of the spirit and scope of dew, any modification and variation, but the present invention can be carried out in the form and details of implementation
Scope of patent protection, still should be subject to the scope of the claims as defined in the appended claims.
Claims (10)
1. a kind of method of test image attraction, which is characterized in that the method includes：
Eye movement data and eeg data that observer generates when watching test image are collected, the eye movement data includes eye movement point
Coordinate and eye movement point timestamp, the eeg data includes the timestamp of brain electricity numerical value and brain electricity numerical value；
Determine that position of the eye movement point in the test image, the timestamp according to eye movement point are true according to the coordinate of the eye movement point
Determine under identical time stamp, the brain electricity numerical value of eye movement point position, statistics calculates the eye movement points and brain electricity numerical value respectively, presses
The image attraction that reflection eye movement and brain electricity numerical value are generated according to preset condition is tried hard to.
2. according to the method described in claim 1, it is characterized in that,
The brain electricity numerical value includes brain electricity mood value and/or brain electricity input.
3. according to the method described in claim 2, it is characterized in that,
The statistics respectively calculates the eye movement points and brain electricity numerical value, and reflection eye movement and brain electricity are generated according to preset condition
The image attraction of numerical value is tried hard to, including：
The test image is divided into the identical region of multiple sizes, calculates separately eye movement point number and brain in each region
Electric numerical value mean value；
The attraction of identical with test image size image is established to try hard to, described image attraction try hard to test image pair
It includes brain electricity feelings to mark the eye movement point number and brain electricity numerical value mean value, the brain electricity numerical value mean value in each region answered respectively
Thread mean value and/or brain electricity put into mean value.
4. according to the method described in claim 3, it is characterized in that,
It is described to mark the eye movement point number in each region, including：
The default eye movement point threshold value met according to eye movement point number in current region determine the region eye movement point symbol or
Color is marked in the region；The default eye movement point threshold value has multiple, each default eye movement point threshold value correspondence one kind
Eye movement point symbol or color.
5. according to the method described in claim 3, it is characterized in that,
It is described to mark the brain electricity numerical value in each region when the brain electricity numerical value mean value includes brain electricity mood mean value, including：
The brain electricity mood mean value in current region is judged if it is greater than default brain electricity mood threshold value, then in the region internal labeling institute
State the brain electricity emotag corresponding to default brain electricity mood threshold value.
6. according to the method described in claim 3, it is characterized in that,
It is described to mark the brain electricity numerical value in each region when the brain electricity numerical value mean value includes brain electricity input mean value, including：
Judge that the brain electricity input mean value in current region puts into threshold value if it is greater than default brain electricity, then in the region internal labeling institute
State the brain electricity input symbol corresponding to default brain electricity input threshold value.
7. a kind of device of test image attraction, which is characterized in that described device includes collection module, statistical module and attraction
Try hard to generation module, wherein：
The collection module, the eye movement data and eeg data generated for collecting observer when watching test image are described
Eye movement data includes the timestamp of the coordinate and eye movement point of eye movement point, and the eeg data includes brain electricity numerical value and brain electricity numerical value
Timestamp；
The statistical module, for determining position of the eye movement point in the test image, root according to the coordinate of the eye movement point
It is determined under identical time stamp according to the timestamp of eye movement point, the brain electricity numerical value of eye movement point position, statistics calculates the eye respectively
Dynamic points and brain electricity numerical value；
Generation module is tried hard in the attraction, and the image for generating reflection eye movement and brain electricity numerical value according to preset condition attracts
Try hard to.
8. device according to claim 7, which is characterized in that
The statistical module counts respectively calculates the eye movement points and brain electricity numerical value, including：The statistical module is by the survey
Attempt, as being divided into the identical region of multiple sizes, to calculate separately eye movement point number and brain electricity numerical value mean value in each region；
The attraction is tried hard to generation module and is tried hard to according to the image attraction of preset condition generation reflection eye movement and brain electricity numerical value,
Including：The attraction is tried hard to generation module foundation image attraction identical with the test image size and is tried hard to, in described image
Attract in each region corresponding with test image tried hard to and marks the eye movement point number and brain electricity numerical value mean value respectively, it is described
Brain electricity numerical value mean value includes brain electricity mood mean value and/or brain electricity input mean value.
9. device according to claim 8, which is characterized in that
The attraction tries hard to generation module and marks the eye movement point number in each region, including：The attraction is tried hard to generate
Module according to the default eye movement point threshold value that eye movement point number in current region is met determine the region eye movement point symbol or
Color is marked in the region；The default eye movement point threshold value has multiple, each default eye movement point threshold value correspondence one kind
Eye movement point symbol or color；
The attraction tries hard to generation module and marks the brain electricity numerical value in each region, including：
When the brain electricity numerical value mean value includes brain electricity mood mean value, the attraction tries hard to generation module and judges brain in current region
Electric mood mean value is if it is greater than default brain electricity mood threshold value, then the default brain electricity mood threshold value institute described in the region internal labeling is right
The brain electricity emotag answered；When the brain electricity numerical value mean value includes brain electricity input mean value, generation module judgement is tried hard in the attraction
Brain electricity input mean value in current region puts into threshold value if it is greater than default brain electricity, then brain is preset described in the region internal labeling
Brain electricity corresponding to electricity input threshold value puts into symbol.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The step of any one of claim 1-6 the methods are realized when execution.
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| CN201711395377.1A CN108459705A (en) | 2017-12-21 | 2017-12-21 | A kind of method, apparatus and computer readable storage medium of test image attraction |
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