CN108399005A - Electronic device, apparatus control method and Related product - Google Patents
Electronic device, apparatus control method and Related product Download PDFInfo
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- CN108399005A CN108399005A CN201810140723.XA CN201810140723A CN108399005A CN 108399005 A CN108399005 A CN 108399005A CN 201810140723 A CN201810140723 A CN 201810140723A CN 108399005 A CN108399005 A CN 108399005A
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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
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
- G06F2218/04—Denoising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
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Abstract
The embodiment of the present application discloses a kind of electronic device, apparatus control method and Related product, including：The eeg signal of user is acquired by brain wave sensor；Obtain in preset set of keywords with the matched target keywords of eeg signal；Electronic device is controlled according to target keywords.The embodiment of the present application is realized controls electronic device by brain wave, improves electronic device and controls convenience and intelligent.
Description
Technical field
This application involves technical field of mobile terminals, and in particular to a kind of electronic device, apparatus control method and related production
Product.
Background technology
With a large amount of popularization and applications of the mobile terminals such as smart mobile phone, the application that smart mobile phone can be supported is more and more,
Function is stronger and stronger, and smart mobile phone develops towards diversification, personalized direction, becomes indispensable electricity in user's life
Sub- articles for use.User is usually interacted by the forms such as finger touch, voice input and mobile terminal, and control mobile terminal is completed
Types of functionality.
Invention content
The embodiment of the present application provides a kind of electronic device, apparatus control method and Related product, passes through brain to realize
Electric wave controls electronic device, improves electronic device control convenience and intelligent.
In a first aspect, the embodiment of the present application provides a kind of electronic device, including brain wave sensor, processor and storage
Device, wherein
The brain wave sensor, the eeg signal for acquiring user；
The memory, for storing preset set of keywords；
The processor, for obtain in the set of keywords with the matched target keywords of the eeg signal；
And for being controlled the electronic device according to the target keywords.
Second aspect, the embodiment of the present application provide a kind of apparatus control method, are applied to electronic device, the electronic device
Including brain wave sensor, the method includes：
The eeg signal of user is acquired by the brain wave sensor；
Obtain in preset set of keywords with the matched target keywords of the eeg signal；
The electronic device is controlled according to the target keywords.
The third aspect, the embodiment of the present application provides a kind of plant control unit, including is applied to electronic device, the electronics
Device includes brain wave sensor, and the plant control unit includes collecting unit, acquiring unit and control unit, wherein
The collecting unit, the eeg signal for acquiring user by the brain wave sensor；
The acquiring unit, for obtain in preset set of keywords with the matched target critical of the eeg signal
Word；
Described control unit, for being controlled the electronic device according to the target keywords.
Fourth aspect, the embodiment of the present application provide a kind of electronic device, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure includes the instruction for executing the step in the embodiment of the present application second aspect either method.
5th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above computer is readable
Computer program of the storage medium storage for electronic data interchange, wherein above computer program makes computer execute such as
Step some or all of described in the embodiment of the present application second aspect either method.
6th aspect, the embodiment of the present application provide a kind of computer program product, wherein above computer program product
Non-transient computer readable storage medium including storing computer program, above computer program are operable to make calculating
Machine executes the step some or all of as described in the embodiment of the present application second aspect either method.The computer program product
It can be a software installation packet.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first
Signal, secondly, obtain in preset set of keywords with the matched target keywords of the eeg signal, finally, according to target
Keyword controls electronic device.Since the acquisition of eeg signal is mainly limited by distance, that is to say, that as long as with
Family sufficiently closes to electronic device, and electronic device can collect the brain wave of user, and then carries out processing and equipment control, entirely
Process is touched without user's finger and is operated without lighting screen, wake-up system, is conducive to improve control convenience and intelligence
Property.
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.
Figure 1A is a kind of structural schematic diagram of electronic device provided by the embodiments of the present application；
Figure 1B is a kind of structural schematic diagram of brain wave sensor provided by the embodiments of the present application；
Fig. 1 C are the structural schematic diagrams of the electronic device of integrated brain wave sensor provided by the embodiments of the present application；
Fig. 1 D are the structural schematic diagrams of another brain wave sensor provided by the embodiments of the present application；
Fig. 1 E are the structural schematic diagrams of another brain wave sensor provided by the embodiments of the present application；
Fig. 1 F are a kind of structural schematic diagrams of electrod-array provided by the embodiments of the present application；
Fig. 1 G are the exemplary plots of the signal processing circuit of brain wave sensor provided by the embodiments of the present application；
Fig. 2A is a kind of flow diagram of apparatus control method provided by the embodiments of the present application；
Fig. 2 B are the waveform example figures of eeg signal provided by the embodiments of the present application；
Fig. 2 C are provided by the embodiments of the present application so that the sampling periods of eeg signal is slided with scheduled duration with overlap mode
Dynamic exemplary plot；
Fig. 2 D are a kind of example electroencephalograms provided by the embodiments of the present application；
Fig. 3 is the flow diagram of another apparatus control method provided by the embodiments of the present application；
Fig. 4 is the flow diagram of another apparatus control method provided by the embodiments of the present application；
Fig. 5 is a kind of structural schematic diagram of electronic device provided by the embodiments of the present application；
Fig. 6 is a kind of functional unit composition block diagram of plant control unit 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 device 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 and various forms for being connected to radio modem
User equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as electronic device.
It describes in detail below to the embodiment of the present application.
Please refer to Fig.1 A, Figure 1A is the structural schematic diagram that the embodiment of the present application provides a kind of electronic device 100, the electricity
Sub-device 100 includes：It shell 110, the circuit board 120 being set in the shell 110, brain wave sensor 130 and is set to
Display screen 140 on the shell 110 is provided with processor 121 and memory 122, the brain wave on the circuit board 120
Sensor 120 and memory 122 are connect with the processor 121, and the processor 121 connects the display screen 140；It is described
Electronic device 100 may include physical button, can not also include physical button, not do unique restriction herein, wherein
The brain wave sensor 120, the eeg signal for acquiring user；
The memory 122, for storing preset set of keywords；
The processor 121, for obtain in the set of keywords with the matched target critical of the eeg signal
Word；And for being controlled the electronic device according to the target keywords.
Wherein, brain wave sensor 120 is properly termed as brain wave chip, brain wave receiver etc., brain wave sensing again
Device 120 is integrated in an electronic, has special signal processing circuit, and connect with the processor of electronic device, according to acquisition
Signal type can be divided into current type brain wave sensor 120 and electromagnetic type brain wave sensor 120, current type brain wave sensing
Device 120 acquires the bioelectricity that cortex generates, and electromagnetic type brain wave sensor 120 acquires the electromagnetism radiated when human brain activity
Wave.It is understood that the specific form of the brain wave sensor 120 can be diversified, unique restriction is not done herein.
For example, as shown in Figure 1B, which may include Anneta module and signal processing module,
It can specifically be integrated on the main circuit board of electronic device, Anneta module acquires the electromagnetic wave signal generated when human brain activity, letter
Number processing module executes the processing such as denoising, filtering for the electromagnetic wave signal, ultimately forms benchmark eeg signal and is sent to place
Reason device is handled.
Again for example, as shown in Figure 1 C and 1D, which may include wearable signal picker,
(wearable signal in the host cavity for the rear shell that the wearable signal picker can be contained in electronic device as shown in Figure 1 C
The specific location of collector does not do unique restriction), in use, as shown in figure iD, wearable signal picker and electronic device sheet
(the corresponding wearable signal picker of wireless connection is integrated with wireless communication module and is filled with electronics for end wired connection or wireless connection
Set local terminal communication connection).
Again for example, as shown in Fig. 1 E to 1G, which may include electrod-array and signal processing
Module, wherein the electronic array is embedded to the electric signal that neuron is captured in scalp, and the structure of electrode section is needle-shaped permutation, should
Signal processing circuit portion point may include instrument amplifier, low-pass filter circuit, high-pass filtering circuit, modulus A/D conversion circuits
And interface circuit etc..
Wherein, processor 121 includes application processor and baseband processor, and processor is the control centre of electronic device,
Using the various pieces of various interfaces and the entire electronic device of connection, by run or execute be stored in it is soft in memory
Part program and/or module, and the data being stored in memory are called, execute the various functions and processing number of electronic device
According to carry out integral monitoring to electronic device.Wherein, the main processing operation system of application processor, user interface and application
Program etc., baseband processor mainly handle wireless communication.It is understood that above-mentioned baseband processor can not also integrate everywhere
It manages in device.Memory 122 can be used for storing software program and module, and processor is stored in the software journey of memory by operation
Sequence and module, to execute various function application and the data processing of electronic device.Memory 122 can include mainly storage
Program area and storage data field, wherein storing program area can storage program area, the application program needed at least one function
Deng；Storage data field can be stored uses created data etc. according to electronic device.In addition, memory 122 may include height
Fast random access memory, can also include nonvolatile memory, a for example, at least disk memory, flush memory device,
Or other volatile solid-state parts.
In the specific implementation, electronic device can control the brain wave sensor 120 under static state with low-power mould
Formula works, and is worked with high frequency mode under motion state, power consumption is reduced with this.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first
Signal, secondly, obtain in preset set of keywords with the matched target keywords of the eeg signal, finally, according to target
Keyword controls electronic device.Since the acquisition of eeg signal is mainly limited by distance, that is to say, that as long as with
Family sufficiently closes to electronic device, and electronic device can collect the brain wave of user, and then carries out processing and equipment control, entirely
Process is touched without user's finger and is operated without lighting screen, wake-up system, is conducive to improve control convenience and intelligence
Property.
It is matched with the eeg signal in the preset set of keywords of acquisition in a possible example
In terms of target keywords, the processor 121 is specifically used for：Denoising is carried out to the eeg signal and is filtered, is obtained
With reference to eeg signal；And for carrying out modulus A/D conversions with reference to eeg signal to described, obtain target brain wave letter
Number；And the characteristic value for extracting the target eeg signal；And for determine in the set of keywords with it is described
The corresponding keyword of characteristic value be with the target keywords, the set of keywords includes pair between characteristic value and keyword
It should be related to.
As it can be seen that in this example, since user has differences in the different crucial word state hypencephalon electric wave signals of meditation, to special
There is also differences for value indicative, so electronic device can be by the characteristic value of determining eeg signal, further according to this feature value
It quickly determines that user wishes the target keywords corresponding to the operation of electronic device execution, is conducive to improve electronic device to brain electricity
Wave signal carries out accuracy and the real-time of semantic parsing.
In this possible example, the processor 121 is additionally operable to：It obtains user and is meditating the target critical word state
Under multigroup eeg signal；And for determining the corresponding characteristic value of every group of eeg signal；And it is described more for determining
The average value of the corresponding multiple characteristic values of group eeg signal；And for establishing the average value and the target keywords
Correspondence；And the correspondence for adding the average value and the target keywords in the set of keywords.
As it can be seen that in this example, electronic device meditates the brain of same target critical word state by repeated multiple times acquisition user
Electric wave signal, and weighted average obtains the characteristic value of height adaptation objective keyword, refers to improve electronic device identification user
The accuracy shown.
It is matched with the eeg signal in the preset set of keywords of acquisition in a possible example
In terms of target keywords, the processor 121 is specifically used for：Denoising is carried out to the eeg signal and is filtered, is obtained
With reference to eeg signal；And for carrying out modulus A/D conversions with reference to eeg signal to described, obtain target brain wave letter
Number；And for generating electroencephalogram according to the target eeg signal；And for obtain in electroencephalogram template set with institute
State the matched target electroencephalogram template of electroencephalogram；And for determine in the set of keywords with the target electroencephalogram template
Matched keyword is the target keywords, and the set of keywords includes the corresponding pass between electroencephalogram template and keyword
System.
As it can be seen that in this example, electronic device is based on waveform comparison, can quickly recognize the current eeg signal of matching
Electroencephalogram template improves the real-time of electronic device identification target keywords to accurately find corresponding target keywords
And accuracy.
In this possible example, the processor 121 is additionally operable to：It obtains user and is meditating the target critical word state
Under multigroup eeg signal；And for generating the corresponding electroencephalogram of every group of eeg signal；And for according to described more
The corresponding multiple electroencephalograms of group eeg signal generate the target electroencephalogram template；And for establishing the target electroencephalogram
The correspondence of template and the target keywords；And for adding the target electroencephalogram mould in the set of keywords
The correspondence of plate and the target keywords.
As it can be seen that in this example, it is electric that electronic device can acquire the brain that user meditates under same target critical word state repeatedly
Wave signal finally obtains the higher electroencephalogram of matching degree as electroencephalogram template, improves electronic device identification target keywords
Accuracy.
Fig. 2A is please referred to, Fig. 2A is that the embodiment of the present application provides a kind of flow diagram of apparatus control method, application
In the electronic device as described in Figure 1A, it is applied to electronic device, the electronic device includes brain wave sensor, as shown,
This apparatus control method includes：
S201, electronic device acquire the eeg signal of user by the brain wave sensor；
S202, the electronic device obtain in preset set of keywords with the matched target critical of the eeg signal
Word；
Wherein, the set of keywords includes keyword, which is that user wishes that electronic device executes specific function
When certain words, vocabulary or the phrase meditated, such as user wish to be meditated when electronic device executes camera function it is specific
Vocabulary is " taking pictures ", in another example user wishes that the specific vocabulary meditated when electronic device executes music playback function is " music "
Or " music ", under normal circumstances, user wish the function performed by electronic device with corresponding meditated keyword from semantically
It is positive incidence to understand, it is of course also possible to the case where being associated with (such as reverse correlation) there are non-positive, for example, user wishes
It is " 1 " that electronic device, which executes and lights the keyword that screen operator is meditated, in another example, user wishes that electronic device executes alarm behaviour
It is " safety " to make meditated keyword, that is to say, that user wishes the operation that electronic device executes and the keyword meditated
Between incidence relation be that can not do unique restriction, for different users, such incidence relation can be multifarious.
In addition, user wish electronic device execute operation include at least it is following any one：Audio plays, video is broadcast
Put, take pictures, unlocking, fast charge, photograph album displaying, game start, screen adjustment (including interface adjustment, screen locking magazine adjustment, wallpaper become
More), payment, operating mode adjustment, call and answer, using startup, download, search etc., do not do unique restriction herein.
S203, the electronic device control the electronic device according to the target keywords.
In the specific implementation, electronic device can generate corresponding control instruction according to keyword, triggering electronic device according to
The control instruction executes preset function, which is the desired operation executed of user, such as unlock, payment, video playing,
Progress monitoring, volume adjustment etc. do not do unique restriction herein.
Wherein, the specific implementation that the electronic device generates corresponding control instruction according to keyword can be：Institute
State electronic device and obtain the associated mapping relations of preset function, determine in the mapping relations with the target keywords pair
The control instruction answered, the mapping relations include the correspondence between keyword and control instruction.For example, preset function
For function of transferring accounts, the associated mapping relations of the payment function include keyword " 1 " and wholesale is transferred accounts (such as 5,000 yuan) control instruction
Correspondence and keyword " 2 " and small amount transfers (such as 1,000 yuan) control instruction between correspondence, and electronic device
It is 2 to obtain target keywords, then can determine that corresponding control instruction is that small amount transfers control refers to by inquiring the mapping relations
It enables, is operated according to the instruction execution small amount transfers.It can be seen that electronic device is directed to preset function, it can be fast by inquiring mapping relations
The fast concrete operations for accurately determining required execution under current preset function scene improve electronic device control accuracy and just
Victory.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first
Signal, secondly, obtain in preset set of keywords with the matched target keywords of the eeg signal, finally, according to target
Keyword controls electronic device.Since the acquisition of eeg signal is mainly limited by distance, that is to say, that as long as with
Family sufficiently closes to electronic device, and electronic device can collect the brain wave of user, and then carries out processing and equipment control, entirely
Process is touched without user's finger and is operated without lighting screen, wake-up system, is conducive to improve control convenience and intelligence
Property.
In a possible example, the electronic device obtain in preset set of keywords with the eeg signal
Matched target keywords, including：The electronic device carries out denoising to the eeg signal and is filtered, and is referred to
Eeg signal；Modulus A/D conversions are carried out with reference to eeg signal to described, obtain target eeg signal；Extract the mesh
Mark the characteristic value of eeg signal；Determine that keyword corresponding with the characteristic value is and the target in the set of keywords
Keyword, the set of keywords include the correspondence between characteristic value and keyword.
In the specific implementation, Hilbert-Huang transform (Hibert-Huang may be used in the electronic device
Transform, HHT) eeg signal is identified in algorithm.It finds out first all in the eeg signal x (t)
Extreme point then uses cubic spline function to carry out data envelopment fitting to maximum point and minimum point, then calculates envelope
Average value m (t).And judge whether to meet essential mode function (intrisic mode by h (t)=x (t)-m (t)
Function, IMF) condition.Hibert variations, and tectonic knot function are carried out after meeting IMF conditions, then seek instantaneous frequency
Rate obtains Hilbert Instantaneous energy spectrum, finally uses Bayesian decision classifying and selecting characteristic value.
In addition, electronic device be also based on the eeg signal X1 (t) being made of data of short-time series, X2 (t), X3 (t),
X4 (t), X5 (t), characteristic value fp is continuously calculated by common space pattern CSP methods.As shown in Figure 2 B, electronic device is first
The setting frame corresponding with T1 is spaced in each eeg signal Xn (t) (n=1~5), and calculate each eeg signal
Every fs × T1 (fs in T1：Sample frequency) value (brain data) Dn (1) to Dn (fs × T1) at a point.As described above, electronics
Device is respectively from the signal X1 (t) of the electrode 1a to 1e of electroencephalograph 1, X2 (t), X3 (t), X4 (t), X5 (t) extraction brain data D1
(1) extremely to D1 (fs × T1), D2 (1) to D2 (fs × T1), D3 (1) to D3 (fs × T1), D4 (1) to D4 (fs × T1), D5 (1)
D5(fs×T1).Then, brain data of the electronic device based on extraction generate 5 (number of electrodes) × fs × T1 (in sampling periods T1
Brain data item number) matrix E.
In addition, filtering W1 and W1 that electronic device is obtained based on generated matrix E and by known CSP methods pass through
Following formula (1) calculates characteristic value fp.
Fp=var (Zp) Σ i=12var (Zt)=var (WpE) Σ i=12var (WiE)]] (1) formula
Wherein " var (Zp) " indicates the variance of data sequence Zp.
In addition, electronic device successively calculates the characteristic value at each scheduled short time T2 (for example, T2=125ms)
fp.Specifically, as shown in Figure 2 C, by making sampling periods T1 with each with overlap mode in each eeg signal Xn (t)
Predetermined short time (predetermined space) T2 slidings, electronic device successively generates matrix E, and continuously calculates characteristic value fp.
Electronic device executes letter based on the characteristic value fp being calculated with the learning functionality of such as linear SVM SVM
Number processing, determines corresponding keyword, the final control signal that generates controls electronic device.
As it can be seen that in this example, since user has differences in the different crucial word state hypencephalon electric wave signals of meditation, to special
There is also differences for value indicative, so electronic device can be by the characteristic value of determining eeg signal, further according to this feature value
It quickly determines that user wishes the target keywords corresponding to the operation of electronic device execution, is conducive to improve electronic device to brain electricity
Wave signal carries out accuracy and the real-time of semantic parsing.
In this possible example, the method further includes：The electronic device obtains user and is meditating the target pass
Multigroup eeg signal under key word state；Determine the corresponding characteristic value of every group of eeg signal；Determine multigroup brain wave
The average value of the corresponding multiple characteristic values of signal；Establish the correspondence of the average value and the target keywords；Described
The correspondence of the average value and the target keywords is added in set of keywords.
Wherein, wish that the incidence relation that electronic device executes between function and the keyword of meditation can based on aforementioned user
Know, the corresponding incidence relation of different user is also different, but for same user, be can by training obtain same operation institute it is right
The keyword for the stabilization answered.That is, be directed to object run, user can by meditating same target keywords repeatedly,
One side user oneself strengthens the incidence relation of the object run and the target keywords, and another aspect electronic device can be repeatedly
The eeg signal under user's meditation state is acquired, more accurate characteristic value is obtained.
As it can be seen that in this example, electronic device meditates the brain of same target critical word state by repeated multiple times acquisition user
Electric wave signal, and weighted average obtains the characteristic value of height adaptation objective keyword, refers to improve electronic device identification user
The accuracy shown.
In a possible example, the electronic device obtain in preset set of keywords with the eeg signal
Matched target keywords, including：The electronic device carries out denoising to the eeg signal and is filtered, and is referred to
Eeg signal；Modulus A/D conversions are carried out with reference to eeg signal to described, obtain target eeg signal；According to the mesh
It marks eeg signal and generates electroencephalogram；Obtain electroencephalogram template set in the matched target electroencephalogram template of the electroencephalogram；
Determine in the set of keywords with the keyword of the target electroencephalogram template matches be the target keywords, the key
Word set includes the correspondence between electroencephalogram template and keyword.
Wherein, electroencephalogram template is similar to the fingerprint template in fingerprint recognition, which has information reference property, due to
Different user human brain active state when meditating different keywords is different, corresponding, the brain electricity caused by human brain activity
Wave signal is also different, and electroencephalogram template both can with such unique physiological characteristic attribute of positive incidence user, so
Can be as fingerprint template, the identification for information such as keywords.The electronic device can be to electroencephalogram frequency, amplitude
Etc. features analyzed, determine each electroencephalogram template in the corresponding electroencephalogram of current eeg signal and electroencephalogram template set
Matching degree, so that it is determined that the electroencephalogram template highest and/or higher than predetermined threshold value of matching degree is matched target electroencephalogram
Template.
In the specific implementation, electric with the matched target brain of the electroencephalogram in the electronic device acquisition electroencephalogram template set
The specific implementation of artwork plate can be：Determine the wave character period in the electroencephalogram；And for according to the wave
The electroencephalogram is divided into multiple segmentation electroencephalograms by shape eigenperiod；And for will each be segmented electroencephalogram and electroencephalogram mould
Electroencephalogram template in plate set is compared, and obtains each matched electroencephalogram template of segmentation electroencephalogram；And it is used for
Determine that the highest electroencephalogram template of multiplicity is and the brain in the corresponding multiple electroencephalogram templates of the multiple segmentation electroencephalogram
The matched target electroencephalogram template of electrograph.
For example, as shown in Figure 2 D, it is assumed that the electroencephalogram that eeg signal that electronic device currently acquires is formed includes
The current electroencephalogram can then be split according to the wave character period, is split as at least 5 by 100 wave character periods
A segmentation electroencephalogram is respectively segmented electroencephalogram 1, segmentation electroencephalogram 2, segmentation electroencephalogram 3, segmentation electroencephalogram 4, segmentation electroencephalogram
5, wherein each segmentation electroencephalogram occupies 20 eigenperiods, specifically, segmentation electroencephalogram 1 corresponds to wave character period 1-20,
It is segmented electroencephalogram 2 and corresponds to wave character period 21-40, segmentation electroencephalogram 3 corresponds to wave character period 41-60, is segmented electroencephalogram 4
Corresponding wave character period 61-80, segmentation electroencephalogram 5 correspond to wave character period 81-100, will each be segmented electroencephalogram respectively
It being compared with electroencephalogram template library, each electroencephalogram that is segmented corresponds to the highest electroencephalogram template of a matching degree, specifically,
It is segmented electroencephalogram 1 and corresponds to electroencephalogram template a, segmentation electroencephalogram 2 corresponds to electroencephalogram template a, and segmentation electroencephalogram 3 corresponds to electroencephalogram mould
Plate b, segmentation electroencephalogram 4 corresponds to electroencephalogram template a, segmentation electroencephalogram 5 corresponds to electroencephalogram template a, it is determined that multiplicity is highest
Electroencephalogram template a is the current corresponding electroencephalogram template of electroencephalogram.
As it can be seen that considering human brain fluctuation, wave character period of the electronic device based on the current electroencephalogram of user, by this
Electroencephalogram is divided into multiple segmentation electroencephalograms, and carries out template matching for each segmentation electroencephalogram, obtains each segmentation brain electricity
After scheming corresponding electroencephalogram template, the highest electroencephalogram template of template multiplicity is determined as and the matched brain of current electroencephalogram
Electrograph template so can pick the corresponding part electroencephalogram of the abnormal eeg signal generated by the fluctuation of human brain in time
It removes, the part electroencephalogram of unusual fluctuations is avoided to influence matching result, be conducive to the matching accuracy for improving electroencephalogram template, improve
The accuracy of fatigue strength detection.
As it can be seen that in this example, electronic device is based on waveform comparison, can quickly recognize the current eeg signal of matching
Electroencephalogram template improves the real-time of electronic device identification target keywords to accurately find corresponding target keywords
And accuracy.
In this possible example, the method further includes：The electronic device obtains user and is meditating the target pass
Multigroup eeg signal under key word state；Generate the corresponding electroencephalogram of every group of eeg signal；According to multigroup brain wave
The corresponding multiple electroencephalograms of signal generate the target electroencephalogram template；The target electroencephalogram template is established to close with the target
The correspondence of key word；It is corresponding with the target keywords that the target electroencephalogram template is added in the set of keywords
Relationship.
Wherein, user wishes that the incidence relation between the electronic device operation executed and meditated keyword is can to pass through
What training was strengthened.
As it can be seen that in this example, it is electric that electronic device can acquire the brain that user meditates under same target critical word state repeatedly
Wave signal finally obtains the higher electroencephalogram of matching degree as electroencephalogram template, improves electronic device identification target keywords
Accuracy.
It is consistent with embodiment shown in above-mentioned Fig. 2A, it is set referring to Fig. 3, Fig. 3 is one kind provided by the embodiments of the present application
The flow diagram of standby control method, is applied to the electronic device as described in Figure 1A, is applied to electronic device, the electronic device
Including brain wave sensor, as shown, this apparatus control method includes：
S301, electronic device obtain multigroup eeg signal of the user in the case where meditating the target critical word state；
S302, the electronic device determine the corresponding characteristic value of every group of eeg signal；
S303, the electronic device determine the average value of the corresponding multiple characteristic values of multigroup eeg signal；
S304, the electronic device establish the correspondence of the average value and the target keywords；
S305, the electronic device add pair of the average value and the target keywords in the set of keywords
It should be related to.
S306, the electronic device acquire the eeg signal of user by the brain wave sensor；
S307, the electronic device carry out denoising to the eeg signal and are filtered, and obtain believing with reference to brain wave
Number；
S308, the electronic device carry out modulus A/D conversions to described with reference to eeg signal, obtain target brain wave letter
Number；
S309, the electronic device extract the characteristic value of the target eeg signal；
S3010, the electronic device determine in the set of keywords keyword corresponding with the characteristic value for institute
Target keywords are stated, the set of keywords includes the correspondence between characteristic value and keyword.
S3011, the electronic device control the electronic device according to the target keywords.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first
Signal, secondly, obtain in preset set of keywords with the matched target keywords of the eeg signal, finally, according to target
Keyword controls electronic device.Since the acquisition of eeg signal is mainly limited by distance, that is to say, that as long as with
Family sufficiently closes to electronic device, and electronic device can collect the brain wave of user, and then carries out processing and equipment control, entirely
Process is touched without user's finger and is operated without lighting screen, wake-up system, is conducive to improve control convenience and intelligence
Property.
Further, since user has differences in the different crucial word state hypencephalon electric wave signals of meditation, to which characteristic value is also deposited
In difference, so electronic device can quickly be determined by the characteristic value of determining eeg signal further according to this feature value
User wish electronic device execute operation corresponding to target keywords, be conducive to improve electronic device to eeg signal into
The accuracy of the semantic parsing of row and real-time.
In addition, electronic device meditates the eeg signal of same target critical word state by repeated multiple times acquisition user,
And weighted average obtains the characteristic value of height adaptation objective keyword, to improve the accurate of electronic device identification user's instruction
Degree.
It is consistent with embodiment shown in above-mentioned Fig. 2A, it is set referring to Fig. 4, Fig. 4 is one kind provided by the embodiments of the present application
The flow diagram of standby control method, is applied to the electronic device as described in Figure 1A.As shown, this apparatus control method packet
It includes：
S401, electronic device obtain multigroup eeg signal of the user in the case where meditating the target critical word state；
S402, the electronic device generate the corresponding electroencephalogram of every group of eeg signal；
S403, the electronic device is according to multigroup eeg signal corresponding multiple electroencephalograms generations target brain
Electrograph template；
S404, the electronic device establish the correspondence of the target electroencephalogram template and the target keywords；
S405, the electronic device add the target electroencephalogram template in the set of keywords and are closed with the target
The correspondence of key word.
S406, the electronic device acquire the eeg signal of user by the brain wave sensor；
S407, the electronic device carry out denoising to the eeg signal and are filtered, and obtain believing with reference to brain wave
Number；
S408, the electronic device carry out modulus A/D conversions to described with reference to eeg signal, obtain target brain wave letter
Number；
S409, the electronic device generate electroencephalogram according to the target eeg signal；
S4010, the electronic device obtain in electroencephalogram template set with the matched target electroencephalogram mould of the electroencephalogram
Plate；
S4011, the electronic device determine the key with the target electroencephalogram template matches in the set of keywords
Word is the target keywords, and the set of keywords includes the correspondence between electroencephalogram template and keyword.
S4012, the electronic device control the electronic device according to the target keywords.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first
Signal, secondly, obtain in preset set of keywords with the matched target keywords of the eeg signal, finally, according to target
Keyword controls electronic device.Since the acquisition of eeg signal is mainly limited by distance, that is to say, that as long as with
Family sufficiently closes to electronic device, and electronic device can collect the brain wave of user, and then carries out processing and equipment control, entirely
Process is touched without user's finger and is operated without lighting screen, wake-up system, is conducive to improve control convenience and intelligence
Property.
In addition, electronic device is based on waveform comparison, the electroencephalogram mould for matching current eeg signal can be quickly recognized
Plate improves real-time and the accuracy of electronic device identification target keywords to accurately find corresponding target keywords.
In addition, electronic device can acquire user repeatedly meditates eeg signal under same target critical word state, most
The higher electroencephalogram of matching degree is obtained eventually as electroencephalogram template, improves the accuracy of electronic device identification target keywords.
It is consistent with above-mentioned Fig. 2A, Fig. 3, embodiment shown in Fig. 4, it is provided referring to Fig. 5, Fig. 5 is the embodiment of the present application
A kind of electronic device structural schematic diagram, as shown, the electronic device include processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure includes the instruction for executing following steps；
The eeg signal of user is acquired by the brain wave sensor；
Obtain in preset set of keywords with the matched target keywords of the eeg signal；
The electronic device is controlled according to the target keywords.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first
Signal, secondly, obtain in preset set of keywords with the matched target keywords of the eeg signal, finally, according to target
Keyword controls electronic device.Since the acquisition of eeg signal is mainly limited by distance, that is to say, that as long as with
Family sufficiently closes to electronic device, and electronic device can collect the brain wave of user, and then carries out processing and equipment control, entirely
Process is touched without user's finger and is operated without lighting screen, wake-up system, is conducive to improve control convenience and intelligence
Property.
It is matched with the eeg signal in the preset set of keywords of acquisition in a possible example
In terms of target keywords, the instruction in described program is specifically used for executing following operation：Denoising is carried out to the eeg signal
And be filtered, it obtains referring to eeg signal；And it for carrying out modulus A/D conversions with reference to eeg signal to described, obtains
To target eeg signal；And the characteristic value for extracting the target eeg signal；And for determining the key
In word set keyword corresponding with the characteristic value be with the target keywords, the set of keywords include characteristic value with
Correspondence between keyword.
In this possible example, described program further includes instructions for performing the following operations：User is obtained to meditate
Multigroup eeg signal under the target critical word state；And for determining the corresponding characteristic value of every group of eeg signal；
And the average value for determining the corresponding multiple characteristic values of multigroup eeg signal；And for establishing the average value
With the correspondence of the target keywords；And for adding the average value and the target in the set of keywords
The correspondence of keyword.
It is matched with the eeg signal in the preset set of keywords of acquisition in a possible example
In terms of target keywords, the instruction in described program is specifically used for executing following operation：Denoising is carried out to the eeg signal
And be filtered, it obtains referring to eeg signal；And it for carrying out modulus A/D conversions with reference to eeg signal to described, obtains
To target eeg signal；And for generating electroencephalogram according to the target eeg signal；And for obtaining electroencephalogram
In template set with the matched target electroencephalogram template of the electroencephalogram；And for determine in the set of keywords with it is described
The keyword of target electroencephalogram template matches is the target keywords, and the set of keywords includes electroencephalogram template and key
Correspondence between word.
In this possible example, described program further includes instructions for performing the following operations：User is obtained to meditate
Multigroup eeg signal under the target critical word state；And for generating the corresponding electroencephalogram of every group of eeg signal；
And for according to multigroup eeg signal corresponding multiple electroencephalograms generations target electroencephalogram template；And it is used for
Establish the correspondence of the target electroencephalogram template and the target keywords；And for adding in the set of keywords
Add the correspondence of the target electroencephalogram template and the target keywords.
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 device 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, in conjunction with each exemplary unit of embodiment description presented herein
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 device 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.
Fig. 6 is the functional unit composition block diagram of plant control unit 600 involved in the embodiment of the present application.The equipment control
Device 600 processed is applied to electronic device, and the electronic device includes brain wave sensor, which includes adopting
Collect unit 601, acquiring unit 602 and control unit 603, wherein
The collecting unit 601, the eeg signal for acquiring user by the brain wave sensor；
The acquiring unit 602, for obtain in preset set of keywords with the matched target of the eeg signal
Keyword；
Described control unit 603, for being controlled the electronic device according to the target keywords.
As can be seen that in the embodiment of the present application, electronic device acquires the brain wave of user by brain wave sensor first
Signal, secondly, obtain in preset set of keywords with the matched target keywords of the eeg signal, finally, according to target
Keyword controls electronic device.Since the acquisition of eeg signal is mainly limited by distance, that is to say, that as long as with
Family sufficiently closes to electronic device, and electronic device can collect the brain wave of user, and then carries out processing and equipment control, entirely
Process is touched without user's finger and is operated without lighting screen, wake-up system, is conducive to improve control convenience and intelligence
Property.
It is matched with the eeg signal in the preset set of keywords of acquisition in a possible example
In terms of target keywords, the acquiring unit 602 is specifically used for：Denoising is carried out to the eeg signal and is filtered, is obtained
To with reference to eeg signal；And for carrying out modulus A/D conversions with reference to eeg signal to described, obtain target brain wave letter
Number；And the characteristic value for extracting the target eeg signal；And for determine in the set of keywords with it is described
The corresponding keyword of characteristic value be with the target keywords, the set of keywords includes pair between characteristic value and keyword
It should be related to.
In this possible example, the plant control unit 600 further includes determination unit, first establishing unit and first
Adding device,
The acquiring unit 602 is additionally operable to obtain multigroup brain wave of the user in the case where meditating the target critical word state
Signal；
The determination unit, for determining the corresponding characteristic value of every group of eeg signal；
The determination unit is additionally operable to determine the average value of the corresponding multiple characteristic values of multigroup eeg signal；
The first establishing unit, the correspondence for establishing the average value and the target keywords；
The adding device, pair for adding the average value and the target keywords in the set of keywords
It should be related to.
It is matched with the eeg signal in the preset set of keywords of acquisition in a possible example
In terms of target keywords, the acquiring unit 601 is specifically used for：Denoising is carried out to the eeg signal and is filtered, is obtained
To with reference to eeg signal；And for carrying out modulus A/D conversions with reference to eeg signal to described, obtain target brain wave letter
Number；And for generating electroencephalogram according to the target eeg signal；And for obtain in electroencephalogram template set with institute
State the matched target electroencephalogram template of electroencephalogram；And for determine in the set of keywords with the target electroencephalogram template
Matched keyword is the target keywords, and the set of keywords includes the corresponding pass between electroencephalogram template and keyword
System.
In this possible example, the plant control unit 600 further includes generation unit, second establishes unit, second
Adding device,
The acquiring unit 602 is additionally operable to obtain multigroup brain wave of the user in the case where meditating the target critical word state
Signal；
The generation unit, for generating the corresponding electroencephalogram of every group of eeg signal；
The generation unit is additionally operable to according to multigroup eeg signal corresponding multiple electroencephalograms generations target
Electroencephalogram template；
Described second establishes unit, and for establishing, the target electroencephalogram template is corresponding with the target keywords to close
System；
Second adding device, for adding the target electroencephalogram template and the mesh in the set of keywords
Mark the correspondence of keyword.
Wherein, acquiring unit 601 can be acceleration transducer, generation unit 602, extraction unit 603 and model treatment
Unit 604 can be processor.
The embodiment of the present application also provides a kind of computer storage media, wherein computer storage media storage is for electricity
The computer program that subdata exchanges, the computer program make computer execute any as described in above method embodiment
Some or all of method step, above computer include mobile terminal.
The embodiment of the present application also provides a kind of computer program product, and above computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either method described in method embodiment step.The computer program product can be a software installation
Packet, above computer includes mobile terminal.
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 the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer 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, said units division, it is only a kind of
Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The above-mentioned unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
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.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, 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.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, 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, read-only memory (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：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, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (13)
1. a kind of electronic device, which is characterized in that including brain wave sensor, processor and memory, wherein
The brain wave sensor, the eeg signal for acquiring user；
The memory, for storing preset set of keywords；
The processor, for obtain in the set of keywords with the matched target keywords of the eeg signal；And
For being controlled the electronic device according to the target keywords.
2. electronic device according to claim 1, which is characterized in that it is described obtain in preset set of keywords with institute
In terms of stating the matched target keywords of eeg signal, the processor is specifically used for：Denoising is carried out to the eeg signal
And be filtered, it obtains referring to eeg signal；And it for carrying out modulus A/D conversions with reference to eeg signal to described, obtains
To target eeg signal；And the characteristic value for extracting the target eeg signal；And for determining the key
In word set keyword corresponding with the characteristic value be with the target keywords, the set of keywords include characteristic value with
Correspondence between keyword.
3. electronic device according to claim 2, which is characterized in that the processor is additionally operable to：User is obtained to meditate
Multigroup eeg signal under the target critical word state；And for determining the corresponding characteristic value of every group of eeg signal；
And the average value for determining the corresponding multiple characteristic values of multigroup eeg signal；And for establishing the average value
With the correspondence of the target keywords；And for adding the average value and the target in the set of keywords
The correspondence of keyword.
4. electronic device according to claim 1, which is characterized in that it is described obtain in preset set of keywords with institute
In terms of stating the matched target keywords of eeg signal, the processor is specifically used for：Denoising is carried out to the eeg signal
And be filtered, it obtains referring to eeg signal；And it for carrying out modulus A/D conversions with reference to eeg signal to described, obtains
To target eeg signal；And for generating electroencephalogram according to the target eeg signal；And for obtaining electroencephalogram
In template set with the matched target electroencephalogram template of the electroencephalogram；And for determine in the set of keywords with it is described
The keyword of target electroencephalogram template matches is the target keywords, and the set of keywords includes electroencephalogram template and key
Correspondence between word.
5. electronic device according to claim 4, which is characterized in that the processor is additionally operable to：User is obtained to meditate
Multigroup eeg signal under the target critical word state；And for generating the corresponding electroencephalogram of every group of eeg signal；
And for according to multigroup eeg signal corresponding multiple electroencephalograms generations target electroencephalogram template；And it is used for
Establish the correspondence of the target electroencephalogram template and the target keywords；And for adding in the set of keywords
Add the correspondence of the target electroencephalogram template and the target keywords.
6. a kind of apparatus control method, which is characterized in that be applied to electronic device, the electronic device includes brain wave sensing
Device, the method includes：
The eeg signal of user is acquired by the brain wave sensor；
Obtain in preset set of keywords with the matched target keywords of the eeg signal；
The electronic device is controlled according to the target keywords.
7. according to the method described in claim 6, it is characterized in that, electric with the brain in the preset set of keywords of acquisition
The target keywords of wave Signal Matching, including：
Denoising is carried out to the eeg signal and is filtered, obtains referring to eeg signal；
Modulus A/D conversions are carried out with reference to eeg signal to described, obtain target eeg signal；
Extract the characteristic value of the target eeg signal；
Determine that keyword corresponding with the characteristic value is and the target keywords, the keyword in the set of keywords
Set includes the correspondence between characteristic value and keyword.
8. the method according to the description of claim 7 is characterized in that the method further includes：
Obtain multigroup eeg signal of the user in the case where meditating the target critical word state；
Determine the corresponding characteristic value of every group of eeg signal；
Determine the average value of the corresponding multiple characteristic values of multigroup eeg signal；
Establish the correspondence of the average value and the target keywords；
The correspondence of the average value and the target keywords is added in the set of keywords.
9. according to the method described in claim 6, it is characterized in that, electric with the brain in the preset set of keywords of acquisition
The target keywords of wave Signal Matching, including：
Denoising is carried out to the eeg signal and is filtered, obtains referring to eeg signal；
Modulus A/D conversions are carried out with reference to eeg signal to described, obtain target eeg signal；
Electroencephalogram is generated according to the target eeg signal；
Obtain electroencephalogram template set in the matched target electroencephalogram template of the electroencephalogram；
Determine in the set of keywords with the keyword of the target electroencephalogram template matches be the target keywords, it is described
Set of keywords includes the correspondence between electroencephalogram template and keyword.
10. according to the method described in claim 9, it is characterized in that, the method further includes：
Obtain multigroup eeg signal of the user in the case where meditating the target critical word state；
Generate the corresponding electroencephalogram of every group of eeg signal；
According to multigroup eeg signal corresponding multiple electroencephalograms generations target electroencephalogram template；
Establish the correspondence of the target electroencephalogram template and the target keywords；
The correspondence of the target electroencephalogram template and the target keywords is added in the set of keywords.
11. a kind of plant control unit, which is characterized in that including being applied to electronic device, the electronic device includes brain wave
Sensor, the plant control unit include collecting unit, acquiring unit and control unit, wherein
The collecting unit, the eeg signal for acquiring user by the brain wave sensor；
The acquiring unit, for obtain in preset set of keywords with the matched target keywords of the eeg signal；
Described control unit, for being controlled the electronic device according to the target keywords.
12. a kind of electronic device, which is characterized in that including processor, memory, communication interface, and one or more programs,
One or more of programs are stored in the memory, and are configured to be executed by the processor, described program packet
It includes for executing the instruction such as the step in claim 6-10 any one of them methods.
13. a kind of computer readable storage medium, which is characterized in that computer program of the storage for electronic data interchange,
In, the computer program makes computer execute such as claim 6-10 any one of them methods.
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