CN108446025A - Filming control method and Related product - Google Patents
Filming control method and Related product Download PDFInfo
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- CN108446025A CN108446025A CN201810238822.1A CN201810238822A CN108446025A CN 108446025 A CN108446025 A CN 108446025A CN 201810238822 A CN201810238822 A CN 201810238822A CN 108446025 A CN108446025 A CN 108446025A
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- 238000000034 method Methods 0.000 title claims abstract description 42
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- 238000013507 mapping Methods 0.000 claims description 60
- 238000011156 evaluation Methods 0.000 claims description 40
- 238000012545 processing Methods 0.000 claims description 24
- 230000008451 emotion Effects 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 14
- 230000036651 mood Effects 0.000 claims description 9
- 238000003384 imaging method Methods 0.000 claims description 4
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- 235000008434 ginseng Nutrition 0.000 claims description 2
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- 230000003287 optical effect Effects 0.000 description 2
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- 208000019901 Anxiety disease Diseases 0.000 description 1
- 241000084490 Esenbeckia delta Species 0.000 description 1
- 208000003443 Unconsciousness Diseases 0.000 description 1
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- 230000007177 brain activity Effects 0.000 description 1
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- 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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
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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 embodiment of the present application discloses a kind of filming control method and Related product, is applied to electronic equipment, the electronic equipment includes brain wave sensor and camera, and wherein method includes：The first eeg signal of target user is acquired by the brain wave sensor；The target range between the target user and the electronic equipment is determined according to first eeg signal；Target acquisition parameters are determined according to the target range, are controlled the camera and are shot to obtain target image according to the target acquisition parameters.Using the application, acquisition parameters are dynamically adapted, improve the intelligent and shooting effect of electronic equipment.
Description
Technical field
This application involves technical field of electronic equipment, a kind of filming control method and Related product have been related generally to.
Background technology
(such as with electronic equipment：Mobile phone, tablet computer etc.) a large amount of popularization and applications, the application that electronic equipment can be supported
More and more, function is stronger and stronger, and electronic equipment develops towards diversification, personalized direction, becomes in user's life not
The appliance and electronic that can lack.Currently, user can be shot by the camera of electronic equipment, and pass through camera application or image
Editor's application handles image.
Invention content
The embodiment of the present application provides a kind of filming control method and Related product, can improve the intelligent of electronic equipment
And shooting effect.
In a first aspect, the embodiment of the present application provides a kind of filming control method, it is applied to electronic equipment, the electronic equipment
Including brain wave sensor and camera, the method includes：
The first eeg signal of target user is acquired by the brain wave sensor；
The target range between the target user and the electronic equipment is determined according to first eeg signal；
Determine target acquisition parameters according to the target range, control the camera according to the target acquisition parameters into
Row shooting, obtains target image.
Second aspect, the embodiment of the present application provide a kind of electronic equipment, including processor, the brain that is connected to the processor
Radio wave sensor and camera, wherein：
The brain wave sensor, the first eeg signal for acquiring target user；
The processor, for according to first eeg signal determine the target user and the electronic equipment it
Between target range；And target acquisition parameters are determined according to the target range；
The camera, for being shot to obtain target image according to the target acquisition parameters.
The third aspect, the embodiment of the present application provide a kind of imaging control device, are applied to electronic equipment, the electronic equipment
Including brain wave sensor and camera, described device includes：
Collecting unit, the first eeg signal for acquiring target user by the brain wave sensor；
Determination unit, for being determined between the target user and the electronic equipment according to first eeg signal
Target range；Target acquisition parameters are determined according to the target range；
Processing unit is shot to obtain target image for controlling the camera according to the target acquisition parameters.
Fourth aspect, the embodiment of the present application provide another electronic equipment, including processor, memory, brain wave sensing
Device, camera and one or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and
It is configured to be executed by above-mentioned processor, described program includes the finger for the step some or all of as described in first aspect
It enables.
5th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein described computer-readable
Storage medium stores computer program, wherein the computer program makes computer execute such as the embodiment of the present application first party
Step some or all of described in face.
6th aspect, the embodiment of the present application provide a kind of computer program product, wherein the computer program product
Non-transient computer readable storage medium including storing computer program, the computer program are operable to make calculating
Machine executes the step some or all of as described in the embodiment of the present application first aspect.The computer program product can be one
A software installation packet.
Implement the embodiment of the present application, will have the advantages that：
After using above-mentioned filming control method and Related product, acquired by the brain wave sensor of electronic equipment
The first eeg signal of target user, according to the first eeg signal determine the target between target user and electronic equipment away from
From determining target acquisition parameters according to target range, control camera is shot to obtain target figure according to target acquisition parameters
Picture improves electricity to adjust the acquisition parameters of camera according to the target range dynamic between target user and electronic equipment
The intelligent and shooting effect of sub- equipment.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Wherein：
Figure 1A is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Figure 1B is the schematic diagram of a scenario that a kind of wearable device provided by the embodiments of the present application acquires eeg signal；
Fig. 1 C are the schematic diagram of a scenario that a kind of electrod-array provided by the embodiments of the present application acquires eeg signal；
Fig. 2 is a kind of flow diagram of filming control method provided by the embodiments of the present application；
Fig. 3 is a kind of structural schematic diagram of imaging control device provided by the embodiments of the present application；
Fig. 4 is the structural schematic diagram of another electronic equipment provided by the embodiments of the present application.
Specific implementation mode
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
Term " first ", " second " in the description and claims of this application and above-mentioned attached drawing etc. are for distinguishing
Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as process, method, system, product or the equipment for containing series of steps or unit do not have
It is defined in the step of having listed or unit, but further includes the steps that optionally not listing or unit, or optionally also wrap
It includes for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Electronic equipment involved by the embodiment of the present application may include various handheld devices with wireless communication function,
Mobile unit, wearable device, computing device or other processing equipments for being connected to radio modem, may also comprise various
User equipment (user equipment, UE), mobile station (mobile station, MS), the terminal device (terminal of form
Device) etc..For convenience of description, apparatus mentioned above is referred to as electronic equipment.The embodiment of the present application is carried out below detailed
It is thin to introduce.
The embodiment of the present application provides a kind of filming control method and Related product, can improve the intelligent of electronic equipment
And shooting effect.The embodiment of the present application is introduced below in conjunction with the accompanying drawings.
Figure 1A is please referred to, Figure 1A is the structural schematic diagram of a kind of electronic equipment provided herein.As shown in Figure 1A, on
Stating electronic equipment 100 includes：Shell 110, the radio circuit 120 being set in the shell 110, processor 140, memory
150, brain wave sensor 160, camera 170 and the display screen 130 being set on the shell 110.Wherein, the radio frequency electrical
Road 120, the memory 150, the brain wave sensor 160, the camera 170 and the display screen 130 and the place
Device 140 is managed to connect.
Wherein, brain wave sensor 160 is for acquiring eeg signal, brain wave (electroencephalogram,
EEG it is) when brain is in activity, a large amount of neurons synchronize the physical signs note that the postsynaptic potential occurred is formed after summation
Record has recorded electric wave variation when brain activity, is the bioelectrical activity of cranial nerve cell in cerebral cortex or scalp surface
Overall reflection.
Human brain during the break, work when or amusement when will produce the brain wave of oneself, frequency variation range usually exists
Between 0.1Hz~30Hz, four wave bands, i.e. delta waves (1~4Hz), theta waves (4~8Hz), alpha waves (8 can be divided into
~13Hz), beta waves (13~30Hz).Wherein, above-mentioned 4 kinds of waves can be divided further, such as：Beta waves include low-
Beta waves (13~15Hz), midrange waves (15~20Hz) and high-beta waves (20~30Hz).And above-mentioned 4 kinds of waves and people
Every physiology and psychological activity have close relationship, such as：Delta waves are depth mode, the subconsciousness state of no pressure；
Theta waves are deep sleep, non rapid eye movement sleep, NREMS, the unconscious state of mind；Beta waves are anxiety, pressure, the essence of brainfag
Refreshing state；Alpha waves are to loosen but not burnout, peace and quiet, the conscious state of mind, are the optimum states of study and thinking.It removes
Except this, when awakening and being absorbed in a certain thing, a kind of frequencies of Chang Kejian gamma waves higher compared with beta waves, frequency 30
~80Hz, wave amplitude range are indefinite；And in sleep it may also occur that the more special normal brain wave of other waveforms, such as hump
Wave, sigma waves, lambda waves, kappa- complex waves, mu waves etc..
Wherein, processor 140 is the control centre of electronic equipment, utilizes various interfaces and the entire electronic equipment of connection
Various pieces, by running or execute the software program and/or module that are stored in memory 150, and call and be stored in
Data in memory 150 execute the various functions and processing data of electronic equipment, to carry out whole prison to electronic equipment
Control.
Camera 170 is for acquiring image, for herein before setting camera, may also include rear camera and can revolve
The camera etc. turned.
Memory 150 can be used for storing software program and function module, and processor 140 is stored in memory by operation
150 software program and function module, to execute various function application and the data processing of electronic equipment.
Radio circuit 120 include receiver 122, the signal processing module 123 that is connect with the receiver 122 and with it is described
The transmitter 121 that signal processing module 123 connects, wherein：Receiver 122 is used to receive the letter that external or processor 140 is sent
Breath, signal processing module 123 is for handling the information that transmitter is received, and transmitter 121 is for sending signal processing module 123
Acquired information.In addition, radio circuit 120 can also be communicated with network and other equipment by radio communication.The application couple
It is not construed as limiting in wireless communication, it may include global system for mobile communications (global system of mobile
Communication, GSM), general packet radio service (general packet radio service, GPRS), electronics postal
Part, short message service (short messaging service, SMS) etc..
In this application, the brain wave sensor 160 is used to acquire the first eeg signal of target user；The place
Reason device 140 be used for according to first eeg signal determine the target between the target user and the electronic equipment away from
From；And target acquisition parameters are determined according to the target range；The camera 170 is used for according to the target acquisition parameters
It is shot to obtain target image.
It is appreciated that acquiring the first brain wave letter of target user by the brain wave sensor 160 of electronic equipment 100
Number, the target range between target user and electronic equipment 100 is determined according to the first eeg signal, is determined according to target range
Target acquisition parameters, camera 170 are shot to obtain target image according to target acquisition parameters, to according to target user with
Target range dynamic between electronic equipment 100 adjusts the acquisition parameters of camera 170, improves the intelligence of electronic equipment 100
Property and shooting effect.
In a possible example, the memory 150 is used to store the mapping relations between distance and acquisition parameters；
In terms of the processor 140 determines target acquisition parameters according to the target range, the processor 140 be specifically used for according to
The mapping relations determine corresponding with the target range with reference to acquisition parameters；It is corresponding to obtain first eeg signal
Shoot demand parameter；According to described the target acquisition parameters are determined with reference to acquisition parameters and the shooting demand parameter.
In a possible example, obtaining the corresponding shooting of first eeg signal in the processor 140 needs
In terms of seeking parameter, the camera 170 is additionally operable to acquisition reference picture；The processor 140 is specifically used for according to described first
Eeg signal obtains evaluation information of the target user to the reference picture；The bat is determined according to the evaluation information
Take the photograph demand parameter.
In a possible example, the memory 150 is additionally operable to storage mapping set of relations, the mapping relations Ji Bao
Multigroup mapping relations are included, each group of mapping relations correspond to a kind of mood, and each group of mapping relations are between signal strength and distance
Mapping relations；Determine that the target user sets with the electronics according to first eeg signal in the processor 140
In terms of target range between standby 100, the processor 140 is specifically used for determining the mesh according to first eeg signal
Mark the target emotion of user；Obtain the corresponding Target Signal Strength of first eeg signal；It is mapped and is closed according to the target
System determines the target range corresponding with the Target Signal Strength.
In a possible example, shot to obtain mesh according to the target acquisition parameters in the camera 170
After logo image, the brain wave sensor 160 is additionally operable to acquire the second eeg signal of the target user；The processing
Device 140 is additionally operable to determine U.S. face parameter according to second eeg signal；Based on the U.S. face parameter to the target image
U.S. face processing is carried out, U.S. face is obtained treated the target image.
The above electronic equipment is only for example, and the application is not construed as limiting, and display screen may include screen, double-sided screen comprehensively or can roll over
Folded flexible display screen, virtual display etc.；Its memory may also include high-speed random access memory, can also include non-easy
The property lost memory, for example, at least a disk memory, flush memory device or other volatile solid-state parts etc.；At it
Reason device can also be further refined as the processor of special purpose, such as：Artificial intelligence (artificial intelligence,
AI) processor, application processor (application processor, AP), baseband processor and brain wave processor etc.；Its
Radio circuit includes but not limited to antenna, at least one amplifier, transceiver, coupler, low-noise amplifier (low
Noise amplifier, LNA), duplexer etc..
In addition, electronic equipment 100 further includes optical sensor, gyroscope, barometer, hygrometer, thermometer, infrared ray sensing
Device etc. sensor, the input/output interfaces such as audio input interface, serial port, keyboard, loud speaker, charging interface, camera,
The unshowned module such as bluetooth module.
The application is not construed as limiting the concrete form of brain wave sensor 160, in addition to as shown in Figure 1A, by brain wave
Sensor integration, can also be as shown in Figure 1B among the shell 110 of electronic equipment 100, and brain wave sensor is placed in wearable
Among electronic equipment, eeg signal is acquired by wearable electronic equipment, and build by wired mode and electronic equipment 100
Vertical connection, to which electronic equipment obtains eeg signal；Can also brain wave sensor as shown in Figure 1 C be implantable or patch
In the electronic array of target object scalp, eeg signal is acquired by above-mentioned electronic array, and wirelessly with electronics
Equipment 100 establishes connection, to which electronic equipment obtains eeg signal.Above-mentioned wearable electronic equipment also can be by wireless
Mode is connect with electronic equipment 100, and electronic array can also be connect by wired mode with electronic equipment 100.
Specifically, please referring to Fig. 2, Fig. 2 is a kind of flow diagram of filming control method provided by the embodiments of the present application,
It can be applied to the electronic equipment as described in Figure 1A.As shown in Fig. 2, filming control method includes：
201：The first eeg signal of target user is acquired by brain wave sensor.
In the embodiment of the present application, target user can be the user of electronic equipment, since brain wave sensor can be received
Collect the eeg signal of multiple users, then needs to be believed according to the first brain wave of feature information extraction of the eeg signal of target user
Number；Target user can also be the user of the acquired image of camera, can when camera collection image includes multiple users
The nearest user of selected distance electronic equipment can also choose the strongest user of eeg signal and be used as target as target user
Family can also choose the user of default storage electroencephalogram or brain wave characteristic parameter as target user.
Optionally, when running camera application, first brain that target user is acquired by brain wave sensor is executed
Electric wave signal.That is, when electronic equipment is shot, eeg signal is just acquired, to avoid waste electronic equipment
Power consumption.
It should be noted that since eeg signal is weaker, thereby increases and it is possible to include some noises, therefore to eeg signal
Before carrying out signal processing, pretreatment operation can be carried out, for example, eeg signal is weaker, is put to eeg signal
The larger eeg signal of amplitude can be obtained greatly, be convenient for data processing；Useful information frequency in eeg signal is usual
It is in (0.5~100Hz), other frequency contents are largely that noise introduces, and brain can be reduced by filtering (or denoising)
Garbage in electric wave signal improves the validity of eeg signal；Collected eeg signal is turned by analog-to-digital conversion
It is changed to digital signal；Above-mentioned eeg signal may be made of the brain wave of more people, then target can be obtained by Signal separator uses
The eeg signal at family, and since the eeg signal of different people has larger specific difference in amplitude, pass through normalizing
Change processing can will be in eeg signal unified planning to identical scale.
202：The target range between the target user and electronic equipment is determined according to first eeg signal.
Optionally, the target determined according to first eeg signal between the target user and electronic equipment
Distance includes the following steps A1-A4：
A1：The target emotion of the target user is determined according to first eeg signal.
A2：Obtain the corresponding Target Signal Strength of first eeg signal.
A3：It is concentrated from preset mapping relations and chooses target mapping relations corresponding with the target emotion.
A4：The target range corresponding with the Target Signal Strength is determined according to the target mapping relations.
The embodiment of the present application is not construed as limiting the analytic method of eeg signal, and frequency-domain analysis method may be used,
Can be the time-frequency domain bonding analysis method of classics, such as spatiotemporal simulation, statistical analysis, space filtering, fast Fourier
Transformation, autoregression model coefficient, the Coefficient Mean and variance of wavelet and wavelet packets, bilingual estimation and Hilbert-Huang transform
Deng.
In the embodiment of the present application, above-mentioned the first eeg signal of analytic method pair can be used to parse, according to solution
Analyse the target emotion that the characteristic parameter obtained after the first eeg signal determines target user.
Optionally, electroencephalogram is generated according to first eeg signal；Obtain template electroencephalogram set in the brain
The matched target template electroencephalogram of electrograph determines that the corresponding mood of the target template electroencephalogram is the target emotion.
Wherein, template electroencephalogram set include it is multiple refer to electroencephalogram, wherein each correspond to a kind of feelings with reference to electroencephalogram
Thread.It is appreciated that according at least one of the corresponding frequency of the first eeg signal, amplitude, waveform etc. characteristic parameter or root
The characteristic value extracted according to above-mentioned parameter draws electroencephalogram, further according to the matching between in electroencephalogram and template electroencephalogram set
Degree, to using the highest and/or corresponding mood of reference electroencephalogram higher than predetermined threshold value of matching degree as target emotion.Also
It is to say, electronic equipment is based on waveform comparison, can quickly recognize the reference electroencephalogram of the first eeg signal of matching, to really
The corresponding target emotion of fixed first eeg signal.
Optionally, the corresponding characteristic value of first eeg signal is obtained；The target is determined according to the characteristic value
Mood.That is, being carried according at least one of the corresponding frequency of the first eeg signal, amplitude, waveform etc. characteristic parameter
Characteristic value is taken, to determine target emotion according to its characteristic value.
In the embodiment of the present application, the acquisition methods of Target Signal Strength are not construed as limiting, optionally, to described first
Eeg signal carries out frequency-domain analysis and obtains the corresponding characteristic of each frequency range in multiple frequency ranges；According in the multiple frequency range
The energy spectrum that the corresponding characteristic of each frequency range obtains corresponding frequency band obtains multiple energy spectrums；Minimum frequency is obtained more than default
The frequency range of frequency threshold obtains multiple target frequency bands；Obtain the energy spectrum of each target frequency bands and institute in the multiple target frequency bands
The ratio stated between the sum of multiple energy spectrums is worth to multiple ratios；It is corresponded to according to each target frequency bands in the multiple target frequency bands
Preset weights and the multiple ratio determine the Target Signal Strength.
Wherein, multiple frequency ranges may include above-mentioned beta waves, gamma waves, delta waves, theta waves, alpha waves etc.；
Characteristic can be at least one of amplitude data, energy datum and phase data data；The application is for predeterminated frequency
Threshold value is not construed as limiting, for example, predeterminated frequency threshold value is 13Hz, then target frequency bands are beta waves and gamma waves.
It is appreciated that according to being each target frequency bands are arranged in multiple target frequency bands weights, the target frequency bands in advance
Ratio between the sum of energy spectrum and energy spectrum is weighted to obtain Target Signal Strength, strong to improve echo signal
The accuracy of degree.
In the embodiment of the present application, mapping relations collection includes multigroup mapping relations, and each group of mapping relations correspond to a kind of feelings
Thread, each group of mapping relations are the mapping relations between signal strength and distance.
In the embodiment shown in step A1-A4, the target emotion of target user is obtained according to eeg signal, and is obtained
The corresponding Target Signal Strength of eeg signal can be according to depositing after target emotion and Target Signal Strength is determined in advance
The mapping relations collection of storage chooses target mapping relations corresponding with target emotion, strong further according to target mapping relations and echo signal
Degree determines target range, it is contemplated that influence of the mood to eeg signal, to improve the accuracy of determining target range.
203：Determine target acquisition parameters according to the target range, control camera according to the target acquisition parameters into
Row shooting obtains target image.
Wherein, acquisition parameters can be the underlying parameter of video camera, such as：Focusing, light filling, delay etc. can also be tool
There are the Optimal Parameters of image processing function, such as：Screening-mode, U.S. face region, filter pattern etc., can also be human-computer interaction
Acquisition parameters, such as：Automatic identification face simultaneously adds corresponding pendant, expression packet etc..
In the embodiment of the present application, the mapping relations between distance and acquisition parameters can be prestored, that is, mesh are being determined
After subject distance, target acquisition parameters can be quickly determined by above-mentioned mapping relations.
As an example it is assumed that target acquisition parameters are target focal length, and relationship of the following table between distance and focal length, such as following table
Shown, when target range is 12 centimetres, then target focal length is 40 millimeters.
| Distance (centimetre) | Focal length (millimeter) |
| (0,5) | 30 |
| [5,15) | 40 |
| [15,30) | 50 |
| …… | …… |
Optionally, described to determine that target acquisition parameters include the following steps B1-B3 according to the target range：
B1：According to the mapping relations between the distance and acquisition parameters of default storage, determination is corresponding with the target range
Reference acquisition parameters.
B2：Obtain the corresponding shooting demand parameter of first eeg signal.
B3：According to described the target acquisition parameters are determined with reference to acquisition parameters and the shooting demand parameter.
The application is not construed as limiting for shooting the acquisition methods of demand parameter, can refer to above-mentioned to the first eeg signal
Analytic method, obtain corresponding shooting demand parameter by feature extraction and characteristic matching, details are not described herein.
Optionally, the corresponding shooting demand parameter of first eeg signal that obtains includes the following steps B21-
B23, wherein：
B21：Reference picture is acquired by the camera.
B22：Evaluation information of the target user to the reference picture is obtained according to first eeg signal.
B23：The shooting demand parameter is determined according to the evaluation information.
Wherein, evaluation information can determine the emotional information of target user according to the second eeg signal, further according to above-mentioned
Emotional information determines evaluation information.When evaluation information is evaluation of estimate, reference picture is divided into multiple evaluative dimensions, such as：
The overall evaluation, color aesthetics, Expression and Action, focus evaluation and/or U.S. face effect assessment etc., obtain in the multiple evaluative dimension
Evaluation between each evaluative dimension and the reference picture is worth to multiple evaluation components；It is true according to the multiple evaluation component
Determine institute's evaluation values.
The application is not construed as limiting the determination method of evaluation of estimate, can obtain the average value of multiple evaluation components, also may be used
It is weighted and is commented according to the corresponding evaluation component of each evaluative dimension in the multiple evaluative dimension and preset weights
Value, the calculation formula of evaluation of estimate EV can be as follows：
EV=b1×ev1+b2×ev2+b3×ev3+…+bn×evn
Wherein, ev1、ev2、ev3And evnFor the evaluation of estimate of different evaluation dimension, b1、b2、b3And bnRespectively ev1、ev2、ev3
And evnCorresponding weight.Wherein, b1+b2+b3+…+bn=1, biThe specific value of (i=1,2 ..., n) can be according to evaluation of estimate
Affecting parameters are arranged or use recommended setting.
As an example it is assumed that b1=0.2, b2=0.2, b3=0.2, b4=0.2, b5=0.2, wherein b1For the overall evaluation
Weight, b2Weight, b for color aesthetics3Weights, b for Expression and Action4For the weight and b of focus evaluation5It is commented for U.S. face effect
The weight of valence, and ev1=70, ev2=80, ev3=60, ev4=80, ev5=60, then reference chart can determine by above-mentioned calculating formula
The evaluation of estimate of picture is 70.
The application is not construed as limiting the preset weights of each evaluative dimension, and optionally, the electronic equipment further includes ring
Border optical sensor obtains ambient light intensity by the ambient light sensor；According to the ambient light intensity and it is described away from
From the corresponding preset weights of each evaluative dimension in the multiple evaluative dimension of determination.
Wherein, ambient light sensor can be positioned at the upper right side of electronic equipment, the left side of camera, for obtaining ambient light
Intensity, processor can adjust the brightness of display screen according to the light and shade of ambient light, provide preferable visual effect, convenient for saving
Electricity, such as：In dark conditions, the screen intensity of display screen is dimmed.
It is appreciated that ambient light intensity and distance are the external condition of shooting, determined according to current external condition more
The corresponding Evaluation threshold of each evaluative dimension in a evaluative dimension, consequently facilitating improving the accuracy for obtaining evaluation of estimate.
In the embodiment of step B21-B23, obtained between target user and reference picture according to the first eeg signal
Evaluation information then can commenting according to each evaluative dimension since evaluation information may include the evaluation component of multiple evaluative dimensions
Valence component determines the shooting component in shooting demand parameter, to which camera can be shot for each dimension, convenient for improving
Shooting effect.
In the embodiment of step B1-B3, the mapping relations between distance and acquisition parameters have been prestored, have been determined
After target range, acquisition parameters corresponding with target range can be used as according to above-mentioned mapping relations and refer to acquisition parameters,
Acquisition parameters will be referred to and the corresponding shooting demand parameter of the first eeg signal is combined to obtain target acquisition parameters, that is, existed
Combining target user is corresponding with the distance between electronic equipment with reference to acquisition parameters on the basis of shooting demand parameter, can be into one
Step improves the accuracy of target acquisition parameters.
In an embodiment as illustrated in figure 2, the first brain of target user is acquired by the brain wave sensor of electronic equipment
Electric wave signal determines the target range between target user and electronic equipment, according to target range according to the first eeg signal
Determine target acquisition parameters, control camera is shot to obtain target image according to target acquisition parameters, to according to target
Between user and electronic equipment target range dynamic adjust camera acquisition parameters, improve the intelligent of electronic equipment and
Shooting effect.
Optionally, the control camera according to the target acquisition parameters shot to obtain target image it
Afterwards, it may include following steps C1-C3：
C1：The second eeg signal of the target user is acquired by the brain wave sensor.
C2：U.S. face parameter is determined according to second eeg signal.
C3：U.S. face is carried out to the target image based on the U.S. face parameter and handles to obtain U.S. face treated the target
Image.
Wherein, the acquisition methods of U.S. face parameter can refer to B22 and obtain evaluation information according to eeg signal, basis in B23
Evaluation information obtains shooting demand parameter, and details are not described herein.
In the embodiment shown in step C1-C3, shot to obtain mesh according to target acquisition parameters in control camera
After logo image, the second eeg signal is acquired by brain wave sensor, the second eeg signal is carried out to analyze determining mesh
The U.S. face information of logo image carries out U.S. face processing further according to above-mentioned U.S. face information to target image, excellent to further improve
Change the operation ease and image effect of image.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is appreciated that
, for electronic equipment in order to realize above-mentioned function, it comprises execute the corresponding hardware configuration of each function and/or software mould
Block.Those skilled in the art should be readily appreciated that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with
Hardware or computer software drive the mode of hardware to execute, and depend on the specific application and design constraint item of technical solution
Part.Professional technician specifically can realize described function to each using distinct methods, but this reality
Now it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out electronic equipment according to the above method example division of functional unit, for example, can
Each functional unit is divided with each function of correspondence, two or more functions can also be integrated in a processing unit
In.The form that hardware had both may be used in above-mentioned integrated unit is realized, can also be realized in the form of SFU software functional unit.It needs
It is noted that be schematical, only a kind of division of logic function to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
It is consistent with embodiment shown in Fig. 2, Fig. 3 is please referred to, Fig. 3 is a kind of shooting control dress provided by the embodiments of the present application
The structural schematic diagram set can be applied to the electronic equipment as described in Figure 1A.As shown in figure 3, the imaging control device 300 wraps
It includes：
Collecting unit 301, the first eeg signal for acquiring target user by the brain wave sensor；
Determination unit 302, for determining the target user and the electronic equipment according to first eeg signal
Between target range；Target acquisition parameters are determined according to the target range；
Processing unit 303 is shot to obtain target figure for controlling the camera according to the target acquisition parameters
Picture.
As can be seen that collecting unit 301 acquires the first brain electricity of target user by the brain wave sensor of electronic equipment
Wave signal, determination unit 302 determine the target range between target user and electronic equipment according to the first eeg signal, according to
Target range determines that target acquisition parameters, processing unit 303 control camera and shot to obtain mesh according to target acquisition parameters
Logo image improves to adjust the acquisition parameters of camera according to the target range dynamic between target user and electronic equipment
The intelligent and shooting effect of electronic equipment.
In a possible example, the determination unit 302 is additionally operable to distance and acquisition parameters according to default storage
Between mapping relations, determine corresponding with the target range with reference to acquisition parameters；Obtain first eeg signal pair
The shooting demand parameter answered；According to described the target acquisition parameters are determined with reference to acquisition parameters and the shooting demand parameter.
In a possible example, the collecting unit 301 is additionally operable to acquisition reference picture；The determination unit 302
Specifically for obtaining evaluation information of the target user to the reference picture according to first eeg signal；According to institute
It states evaluation information and determines the shooting demand parameter.
In a possible example, the determination unit 302 is specifically used for being determined according to first eeg signal
The target emotion of the target user；Obtain the corresponding Target Signal Strength of first eeg signal；From preset mapping
Target mapping relations corresponding with the target emotion are chosen in set of relations, the mapping relations collection includes multigroup mapping relations,
Each group of mapping relations correspond to a kind of mood, and each group of mapping relations are the mapping relations between signal strength and distance；According to
The target mapping relations determine the target range corresponding with the Target Signal Strength.
In a possible example, the collecting unit 301 is additionally operable to by described in brain wave sensor acquisition
The second eeg signal of target user；The determination unit 302 is additionally operable to determine U.S. face according to second eeg signal
Parameter；U.S. face processing is carried out to the target image based on the U.S. face parameter, obtains U.S. face treated the target image.
It is consistent with embodiment shown in Fig. 2, Fig. 4 is please referred to, Fig. 4 is another electronic equipment provided by the embodiments of the present application
Structural schematic diagram.Electronic equipment 400 as shown in Figure 4 includes：Processor 410, memory 420, brain wave sensor 430,
Camera 450 and one or more programs 440, one or more programs 440 are stored in memory 420, and are configured
It is executed by processor 410, program 440 includes the instruction for executing following steps：
The first eeg signal of target user is acquired by the brain wave sensor 430；
According to first eeg signal determine the target between the target user and the electronic equipment 400 away from
From；
Target acquisition parameters are determined according to the target range, are controlled the camera 450 and are shot according to the target and are joined
Number is shot to obtain target image.
As can be seen that acquiring the first brain wave letter of target user by the brain wave sensor 430 of electronic equipment 400
Number, the target range between target user and electronic equipment 400 is determined according to the first eeg signal, is determined according to target range
Target acquisition parameters, control camera 450 is shot to obtain target image according to target acquisition parameters, to be used according to target
Target range dynamic between family and electronic equipment 400 adjusts the acquisition parameters of camera, improves the intelligence of electronic equipment 400
Property and shooting effect.
In a possible example, it is described target acquisition parameters are determined according to the target range in terms of, the journey
Instruction in sequence 440 is specifically used for executing following operation：
According to the mapping relations between the distance and acquisition parameters of default storage, ginseng corresponding with the target range is determined
Examine acquisition parameters；
Evaluation information of the target user to the reference picture is obtained according to first eeg signal；
According to described the target acquisition parameters are determined with reference to acquisition parameters and the shooting demand parameter.
In a possible example, the corresponding shooting demand parameter side of first eeg signal is obtained described
Face, the instruction in described program 440 are specifically used for executing following operation：
Reference picture is acquired by the camera；
Obtain the evaluation information between first eeg signal and the reference picture；
The shooting demand parameter is determined according to the evaluation information.
In a possible example, it is described according to first eeg signal determine the target user with it is described
In terms of target range between electronic equipment 400, the instruction in described program 440 is specifically used for executing following operation：
The target emotion of the target user is determined according to first eeg signal；
Obtain the corresponding Target Signal Strength of first eeg signal；
It is concentrated from preset mapping relations and chooses target mapping relations corresponding with the target emotion, the mapping relations
Collection includes multigroup mapping relations, and each group of mapping relations correspond to a kind of mood, and each group of mapping relations are signal strength and distance
Between mapping relations；
The target range corresponding with the Target Signal Strength is determined according to the target mapping relations.
In a possible example, according to the target acquisition parameters shoot in the control camera
To after target image, the instruction in described program 440 is additionally operable to execute following operation：
The second eeg signal of the target user is acquired by the brain wave sensor 430；
U.S. face parameter is determined according to second eeg signal；
U.S. face processing is carried out to the target image based on the U.S. face parameter, obtains U.S. face treated the target figure
Picture.
The embodiment of the present application also provides a kind of computer storage media, wherein the computer storage media is stored for depositing
Computer program is stored up, which makes computer execute the part or complete of the either method as described in embodiment of the method
Portion's step, computer include electronic equipment.
The embodiment of the present application also provides a kind of computer program product, and computer program product includes storing computer journey
The non-transient computer readable storage medium of sequence, computer program are operable to that computer is made to execute as in embodiment of the method remembered
Some or all of either method of load step.The computer program product can be a software installation packet, and computer includes
Electronic equipment.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily the application
It is necessary.
In embodiment, it all emphasizes particularly on different fields to the description of each embodiment, there is no the part being described in detail in some embodiment, it can
With referring to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, for example, unit division, only a kind of logic
Function divides, and formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can collect
At to another system, or some features can be ignored or not executed.Another point, shown or discussed mutual coupling
Close or direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit, can be with
It is electrical or other forms.
The unit illustrated as separating component may or may not be physically separated, and be shown as unit
Component may or may not be physical unit, you can be located at a place, or may be distributed over multiple networks
On unit.Some or all of unit therein can be selected according to the actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Integrated unit was both
The form that hardware may be used is realized, can also be realized in the form of SFU software functional unit.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product
To be stored in a computer-readable access to memory.Based on this understanding, the technical solution of the application is substantially in other words
The all or part of the part that contributes to existing technology or the technical solution can embody in the form of software products
Come, which is stored in a memory, including some instructions are used so that a computer equipment (can be
Personal computer, server or network equipment etc.) execute each embodiment method of the application all or part of step.And it is preceding
The memory stated includes：USB flash disk, read-only memory (read-only memory, ROM), random access memory (random
Access memory, RAM), mobile hard disk, the various media that can store program code such as magnetic disc or CD.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer-readable memory, memory
May include：Flash disk, ROM, RAM, disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
Meanwhile for those of ordinary skill in the art, according to the thought of the application, can in specific embodiments and applications
There is change place, to sum up, the contents of this specification should not be construed as limiting the present application.
Claims (13)
1. a kind of filming control method, which is characterized in that be applied to electronic equipment, the electronic equipment includes brain wave sensor
And camera, the method includes：
The first eeg signal of target user is acquired by the brain wave sensor；
The target range between the target user and the electronic equipment is determined according to first eeg signal；
Target acquisition parameters are determined according to the target range, are controlled the camera and are clapped according to the target acquisition parameters
It takes the photograph, obtains target image.
2. according to the method described in claim 1, it is characterized in that, described determine target shooting ginseng according to the target range
Number, including：
According to the mapping relations between the distance and acquisition parameters of default storage, determine corresponding with the target range with reference to bat
Take the photograph parameter；
Obtain the corresponding shooting demand parameter of first eeg signal；
According to described the target acquisition parameters are determined with reference to acquisition parameters and the shooting demand parameter.
3. according to the method described in claim 2, it is characterized in that, described obtain the corresponding shooting of first eeg signal
Demand parameter, including：
Reference picture is acquired by the camera；
Evaluation information of the target user to the reference picture is obtained according to first eeg signal；
The shooting demand parameter is determined according to the evaluation information.
4. according to claim 1-3 any one of them methods, which is characterized in that described true according to first eeg signal
Fixed target range between the target user and the electronic equipment, including：
The target emotion of the target user is determined according to first eeg signal；
Obtain the corresponding Target Signal Strength of first eeg signal；
It is concentrated from preset mapping relations and chooses target mapping relations corresponding with the target emotion, the mapping relations Ji Bao
Multigroup mapping relations are included, each group of mapping relations correspond to a kind of mood, and each group of mapping relations are between signal strength and distance
Mapping relations；
The target range corresponding with the Target Signal Strength is determined according to the target mapping relations.
5. according to claim 1-4 any one of them methods, which is characterized in that in the control camera according to described
Target acquisition parameters are shot, and after obtaining target image, the method further includes：
The second eeg signal of the target user is acquired by the brain wave sensor,
U.S. face parameter is determined according to second eeg signal；
U.S. face processing is carried out to the target image based on the U.S. face parameter, obtains U.S. face treated the target image.
6. a kind of electronic equipment, which is characterized in that including processor, the brain wave sensor being connected to the processor and camera shooting
Head, wherein：
The brain wave sensor, the first eeg signal for acquiring target user；
The processor, for being determined between the target user and the electronic equipment according to first eeg signal
Target range；And target acquisition parameters are determined according to the target range；
The camera, for being shot to obtain target image according to the target acquisition parameters.
7. electronic equipment according to claim 6, which is characterized in that the electronic equipment further includes connecting with the processor
The memory connect, for storing the mapping relations between distance and acquisition parameters；
In terms of the processor determines target acquisition parameters according to the target range, the processor is specifically used for according to institute
It is corresponding with the target range with reference to acquisition parameters to state mapping relations determination；Obtain the corresponding bat of first eeg signal
Take the photograph demand parameter；According to described the target acquisition parameters are determined with reference to acquisition parameters and the shooting demand parameter.
8. electronic equipment according to claim 7, which is characterized in that obtain the first brain wave letter in the processor
In terms of number corresponding shooting demand parameter, the camera is additionally operable to acquisition reference picture；
The processor is specifically used for obtaining the target user to the reference picture according to first eeg signal
Evaluation information；The shooting demand parameter is determined according to the evaluation information.
9. electronic equipment according to claim 7 or 8, which is characterized in that the memory is additionally operable to storage mapping relationship
Collection, the mapping relations collection includes multigroup mapping relations, and each group of mapping relations correspond to a kind of mood, and each group of mapping relations are
Mapping relations between signal strength and distance；
The mesh between the target user and the electronic equipment is determined according to first eeg signal in the processor
In terms of subject distance, the processor is specifically used for determining the target feelings of the target user according to first eeg signal
Thread；Obtain the corresponding Target Signal Strength of first eeg signal；It is determined and the mesh according to the target mapping relations
Mark the corresponding target range of signal strength.
10. according to claim 6-9 any one of them electronic equipments, which is characterized in that in the camera according to the mesh
Mark acquisition parameters are shot after obtaining target image, and the brain wave sensor is additionally operable to acquire the of the target user
Two eeg signals；
The processor is additionally operable to determine U.S. face parameter according to second eeg signal；Based on the U.S. face parameter to described
Target image carries out U.S. face processing, obtains U.S. face treated the target image.
11. a kind of imaging control device, which is characterized in that be applied to electronic equipment, the electronic equipment includes brain wave sensing
Device and camera, described device include：
Collecting unit, the first eeg signal for acquiring target user by the brain wave sensor；
Determination unit, for determining the mesh between the target user and the electronic equipment according to first eeg signal
Subject distance；Target acquisition parameters are determined according to the target range；
Processing unit is shot to obtain target image for controlling the camera according to the target acquisition parameters.
12. a kind of electronic equipment, which is characterized in that including processor, memory, brain wave sensor, camera and one
Or multiple programs, wherein one or more of programs are stored in the memory, and are configured by the processor
It executes, described program includes that the instruction of the step in any one of 1-5 methods is required for perform claim.
13. a kind of computer readable storage medium, which is characterized in that it is used to store computer program, wherein the computer
Program makes computer execute method as described in any one in claim 1-5.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110364879.8A CN113093908B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
| CN201810238822.1A CN108446025B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810238822.1A CN108446025B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202110364879.8A Division CN113093908B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
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| CN108446025A true CN108446025A (en) | 2018-08-24 |
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| CN201810238822.1A Expired - Fee Related CN108446025B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
| CN202110364879.8A Active CN113093908B (en) | 2018-03-21 | 2018-03-21 | Shooting control method and related product |
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| Application Number | Title | Priority Date | Filing Date |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111240218A (en) * | 2020-01-10 | 2020-06-05 | Oppo广东移动通信有限公司 | Equipment control method and related equipment |
| CN111741436A (en) * | 2020-05-09 | 2020-10-02 | 宇龙计算机通信科技(深圳)有限公司 | Information acquisition method and device of locator, storage medium and locator |
| CN112446251A (en) * | 2019-08-30 | 2021-03-05 | 深圳云天励飞技术有限公司 | Image processing method and related device |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103137157A (en) * | 2013-01-24 | 2013-06-05 | 中国联合网络通信集团有限公司 | Terminal media play control method, terminal media play control device and terminal |
| CN105704380A (en) * | 2016-03-03 | 2016-06-22 | 上海与德通讯技术有限公司 | Camera focusing method and electric device |
| CN106488024A (en) * | 2016-10-18 | 2017-03-08 | 珠海格力电器股份有限公司 | Mobile terminal, and intelligent photographing method and system for mobile terminal |
| CN106815803A (en) * | 2016-12-30 | 2017-06-09 | 广东欧珀移动通信有限公司 | The processing method and processing device of picture |
| CN106851104A (en) * | 2017-02-28 | 2017-06-13 | 努比亚技术有限公司 | A kind of method and device shot according to user perspective |
| US20170171441A1 (en) * | 2015-12-15 | 2017-06-15 | Intel Corporation | Electroencephalography (eeg) camera control |
| CN107590445A (en) * | 2017-08-25 | 2018-01-16 | 西安电子科技大学 | Aesthetic images quality evaluating method based on EEG signals |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015102650A (en) * | 2013-11-25 | 2015-06-04 | 株式会社ニコン | Imaging control device and imaging device |
| KR102222073B1 (en) * | 2014-08-29 | 2021-03-04 | 삼성전자주식회사 | Method and electronic device for taking a photograph |
-
2018
- 2018-03-21 CN CN201810238822.1A patent/CN108446025B/en not_active Expired - Fee Related
- 2018-03-21 CN CN202110364879.8A patent/CN113093908B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103137157A (en) * | 2013-01-24 | 2013-06-05 | 中国联合网络通信集团有限公司 | Terminal media play control method, terminal media play control device and terminal |
| US20170171441A1 (en) * | 2015-12-15 | 2017-06-15 | Intel Corporation | Electroencephalography (eeg) camera control |
| CN105704380A (en) * | 2016-03-03 | 2016-06-22 | 上海与德通讯技术有限公司 | Camera focusing method and electric device |
| CN106488024A (en) * | 2016-10-18 | 2017-03-08 | 珠海格力电器股份有限公司 | Mobile terminal, and intelligent photographing method and system for mobile terminal |
| CN106815803A (en) * | 2016-12-30 | 2017-06-09 | 广东欧珀移动通信有限公司 | The processing method and processing device of picture |
| CN106851104A (en) * | 2017-02-28 | 2017-06-13 | 努比亚技术有限公司 | A kind of method and device shot according to user perspective |
| CN107590445A (en) * | 2017-08-25 | 2018-01-16 | 西安电子科技大学 | Aesthetic images quality evaluating method based on EEG signals |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112446251A (en) * | 2019-08-30 | 2021-03-05 | 深圳云天励飞技术有限公司 | Image processing method and related device |
| CN111240218A (en) * | 2020-01-10 | 2020-06-05 | Oppo广东移动通信有限公司 | Equipment control method and related equipment |
| CN111240218B (en) * | 2020-01-10 | 2023-01-24 | Oppo广东移动通信有限公司 | Equipment control method and related equipment |
| CN111741436A (en) * | 2020-05-09 | 2020-10-02 | 宇龙计算机通信科技(深圳)有限公司 | Information acquisition method and device of locator, storage medium and locator |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113093908B (en) | 2022-10-18 |
| CN108446025B (en) | 2021-04-23 |
| CN113093908A (en) | 2021-07-09 |
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