CN108205261A - Intelligent home furnishing control method and Related product based on brain wave - Google Patents
Intelligent home furnishing control method and Related product based on brain wave Download PDFInfo
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- CN108205261A CN108205261A CN201810236057.XA CN201810236057A CN108205261A CN 108205261 A CN108205261 A CN 108205261A CN 201810236057 A CN201810236057 A CN 201810236057A CN 108205261 A CN108205261 A CN 108205261A
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
This application provides a kind of intelligent home furnishing control method and Related product based on brain wave, the electronic device includes：Application processor AP, transceiver, brain wave component, the AP for when determining to be located at indoor environment, controlling the brain wave component retrieval brain wave data, carry out the brain wave data analysis and determine the corresponding first state of the brain wave data；The AP, it is additionally operable to obtain N number of parameter of the smart home product of indoor environment, determine whether conflict in N number of parameter with the first state, N number of parameter as described in determining conflicts with the first state, obtain the consequences of hostilities, control command is generated according to the consequences of hostilities, the control command is used to adjust N number of parameter；The N is the integer more than or equal to 1；The transceiver, for the control command to be sent to the smart home product.The technical solution that the application provides has the advantages that user experience is high.
Description
Technical field
This application involves terminal device and Internet of Things field, and in particular to a kind of Intelligent housing based on brain wave
Method and Related product.
Background technology
In the prior art, mobile terminal (such as mobile phone, tablet computer) has become user's first choice and frequency of use highest
Electronic device.With popularizing for smart mobile phone, the interaction of people and mobile phone is more and more diversified, there is sound, fingerprint, iris, people
Face, image etc., but for the engine brain of human body, the information sent out, there is presently no be related to.With people's life water
Flat raising, smart home are more and more applied in common family, but existing Intelligent housing is based on contact
Control, such as realize the control to smart home by equipment such as remote controler or switch buttons, it can not be by brain wave to intelligence
Energy household is controlled, and influences user experience.
Apply for content
The embodiment of the present application provides a kind of intelligent home furnishing control method and Related product based on brain wave, can pass through
Brain wave realizes the control to smart home, realizes the control of contactless smart household, improves user experience.
In a first aspect, the embodiment of the present application provides a kind of electronic device, the electronic device includes：Application processor AP,
Transceiver；The electronic device further includes：Brain wave component, the brain wave component are connected by least one circuit and the AP
It connects；
The AP, for when determining to be located at indoor environment, the brain wave component retrieval brain wave data being controlled, to institute
Brain wave data is stated to carry out analyzing the corresponding first state of the determining brain wave data；
The AP, be additionally operable to obtain indoor environment smart home product N number of parameter, determine be in N number of parameter
No to conflict with the first state, N number of parameter as described in determining conflicts with the first state, obtains the consequences of hostilities, according to institute
State consequences of hostilities generation control command, the control command, which is used to adjusting N number of parameter, causes N number of parameter and the after adjustment
One state does not conflict；The N is the integer more than or equal to 1；
The transceiver, for the control command to be sent to the smart home product
Second aspect provides a kind of intelligent home furnishing control method based on brain wave, and the method is applied to electronic device,
The electronic device includes：Application processor AP, transceiver, the electronic device further include：Brain wave component, the brain wave
Component is connect by least one circuit with the AP；
When determining to be located at indoor environment, the brain wave component retrieval brain wave data is controlled, to the brain wave number
The corresponding first state of the brain wave data is determined according to analysis is carried out；
Obtain N number of parameter of the smart home product of indoor environment, determine in N number of parameter whether with the first state
Conflict, N number of parameter as described in determining conflict with the first state, obtain the consequences of hostilities, are generated according to the consequences of hostilities
Control command, the control command is used to adjust N number of parameter so that N number of parameter after adjustment does not conflict with first state；
The N is the integer more than or equal to 1；
The control command is sent to the smart home product.
The third aspect, provides a kind of electronic device, and the electronic device includes：Processing unit, transceiver, the electronics dress
It puts and further includes：Brain wave component, the brain wave component are connect with the processing unit；
The processing unit, for when determining to be located at indoor environment, controlling the brain wave component retrieval brain wave number
According to carrying out analysis to the brain wave data and determine the corresponding first state of the brain wave data；
The processing unit is additionally operable to obtain N number of parameter of the smart home product of indoor environment, determines N number of ginseng
Whether conflicting in number with the first state, N number of parameter as described in determining conflicts with the first state, obtains the consequences of hostilities,
Control command is generated according to the consequences of hostilities, the control command causes N number of ginseng after adjusting for adjusting N number of parameter
Number does not conflict with first state；The N is the integer more than or equal to 1；
The transceiver, for the control command to be sent to the smart home product.
Fourth aspect, provides a kind of computer readable storage medium, and storage is used for the computer journey of electronic data interchange
Sequence, wherein, the computer program causes computer to perform the method that second aspect provides.
5th aspect, provides a kind of computer program product, and the computer program product includes storing computer journey
The non-transient computer readable storage medium of sequence, the computer program are operable to that computer is made to perform second aspect offer
Method.
Implement the embodiment of the present application, have the advantages that：
As can be seen that the technical solution that the application provides obtains brain wave data, to this when determining in indoor environment
Brain wave data is analyzed to obtain first state, then obtain smart home product N number of parameter, analyze N number of parameter whether with
First state conflict such as conflicts, then generates control command according to the first state, which is sent to smart home production
Product can control smart home by the brain wave data of user in this way, improve user experience.
Description of the drawings
In order to illustrate more clearly of the technical solution in the embodiment of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is some embodiments of the present application, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of structure diagram of electronic device provided by the embodiments of the present application.
Fig. 1 a are the oscillograms of δ waves.
Fig. 1 b are the oscillograms of θ waves.
Fig. 1 c are the oscillograms of α waves.
Fig. 1 d are the oscillograms of β waves.
Fig. 2 is a kind of schematic diagram of electronic device disclosed in the embodiment of the present application.
Fig. 3 is a kind of flow diagram of intelligent home furnishing control method based on brain wave provided by the embodiments of the present application.
Fig. 4 is a kind of structure diagram of electronic device provided by the embodiments of the present application.
Fig. 5 is a kind of structure diagram of mobile phone disclosed in the embodiment of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, the technical solution in the embodiment of the present application is carried out clear, complete
Site preparation describes, it is clear that described embodiment is some embodiments of the present application, instead of all the embodiments.Based on this Shen
Please in embodiment, the every other implementation that those of ordinary skill in the art are obtained without creative efforts
Example, shall fall in the protection scope of this application.
Term " first ", " second ", " third " in the description and claims of this application and the attached drawing and "
Four " etc. be for distinguishing different objects rather than for describing particular order.In addition, term " comprising " and " having " and it
Any deformation, it is intended that cover non-exclusive include.Such as it contains the process of series of steps or unit, method, be
The step of system, product or equipment are not limited to list or unit, but optionally further include the step of not listing or list
Member is optionally further included for the intrinsic other 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.
In the electronic device provided in first aspect, the AP, specifically for the brain wave data analyze really
It is fixed that whether there is δ waves, it such as determines that there is δ waves, determines that first state for sleep state, does not have δ waves such as, determines that first state is
Non-sleep state.
In the electronic device provided in first aspect, the AP, specifically for extracting p value of the brain wave data,
Described p value is formed into input data matrix, the input data matrix is input in preset neural network model and is performed
Multilayer forward operation obtains forward operation and is more than given threshold in the forward operation matrix of consequence in multiple elements as a result, extracting
Z element, extract Z position of the corresponding forward operation matrix of consequence of the Z element, the corresponding Z in Z position of extraction is a
State if having more than half in the Z state for sleep state, determines the first state as sleep state, such as the Z
There is more than half in state for non-sleep state, it is non-sleep state to determine the first state.
In the electronic device provided in first aspect, the AP, specifically for according to the first state from presetting
State M parameter corresponding with determining the first state in parameter mapping relations range, from N number of parameter extraction x
A parameter, Overlapping parameters of the x parameter for N number of parameter and the M parameter, determines whether the x parameter belongs to
In the range, such as the x parameter exceeds the range, determines that N number of parameter conflicts with the first state, from described
Beyond y parameter of the range as consequences of hostilities, the x, the y are the integer more than or equal to 1 for extraction in x parameter
And less than or equal to N, M.
In the electronic device provided in first aspect, the AP is more than the range specifically for such as described y parameter,
The first control command is generated, first control command is for reducing the value of y parameter, and such as the y parameter is less than the setting
Range, generates the second control command, and second control command is used to increase the value of the y parameter.
It is described that the determining brain wave data of analysis is carried out to the brain wave data in the method provided in second aspect
Corresponding first state, including：
Analysis is carried out to the brain wave data to determine whether, with δ waves, such as to determine that there is δ waves, determine that first state is
Sleep state does not have δ waves such as, and it is non-sleep state to determine first state.
It is described that the determining brain wave data of analysis is carried out to the brain wave data in the method provided in second aspect
Corresponding first state, including：
P value of the brain wave data is extracted, described p value is formed into input data matrix, by the input data
Multilayer forward operation is performed in Input matrix to preset neural network model and obtains forward operation as a result, the extraction positive fortune
Z element for being more than given threshold in matrix of consequence in multiple elements is calculated, extracts the corresponding forward operation result of the Z element
Z position of matrix, the corresponding Z state in Z position of extraction, as having more than half in the Z state for sleep state, really
The fixed first state is sleep state, as having more than half in the Z state for non-sleep state, determines first shape
State is non-sleep state.
In the method provided in second aspect, according to the first state from preset state and parameter mapping relations
In determine the range of the corresponding M parameter of the first state, from described N number of x parameter of parameter extraction, the x parameter is
The Overlapping parameters of N number of parameter and the M parameter, determine whether the x parameter belongs to the range, such as the x
Parameter exceeds the range, determines that N number of parameter conflicts with the first state, and extraction is beyond institute from the x parameter
Y parameter of range is stated as consequences of hostilities, the x, the y are the integer more than or equal to 1 and are less than or equal to N, M.
Electronic device in the application can include smart mobile phone (such as Android phone, iOS mobile phones, Windows
Phone mobile phones etc.), tablet computer, palm PC, laptop, mobile internet device (MID, Mobile Internet
Devices) or Wearable etc., above-mentioned electronic device are only citings, and non exhaustive, are filled including but not limited to above-mentioned electronics
It puts, for convenience of description, above-mentioned electronic device is known as user equipment (User equipment, UE) in example below.
Certainly in practical applications, above-mentioned user equipment is also not necessarily limited to above-mentioned realization form, such as can also include：Wireless router,
Domestic robot, computer equipment etc..
Referring to Fig. 1, Fig. 1, which is the embodiment of the present application, provides a kind of electronic device, referring to Fig. 1, Fig. 1 is of the invention real
It applies example and provides a kind of structure diagram of electronic device 100, above-mentioned electronic device 100 includes：Housing 110, circuit board 120,
Battery 130, cover board 140, touching display screen 150, brain wave component 170 and transceiver 180, on the housing 110 described in setting
Circuit board 120, the battery 130 and the cover board 140, the circuit board 120 are additionally provided with the connection touching display screen 150
Circuit；The circuit board 120 can also include：Application processor AP190, brain wave component 170.Above-mentioned brain wave component
170 according to the equipment of different acquisition brain waves can be different devices, if for example, passing through electronic device acquires brain electricity
Wave, the brain wave component 170 can be brain wave sensor or acquiring brain waves device.If brain electricity is acquired by peripheral equipment
Wave, then the brain wave component 170 can be brain wave transceiver.Certainly in practical applications, it can also be other forms
Brain wave equipment, the application specific embodiment do not limit to the specific manifestation form of above-mentioned brain wave component.
Above-mentioned transceiver 180 can be different transceivers according to the form of different electronic devices, for example, such as the electronics
Device is mobile phone, which can be intelligent router with wireless transceiver, such as electronic device, which can be network
Port.
Above-mentioned touching display screen is specifically as follows Thin Film Transistor-LCD (Thin Film Transistor-
Liquid Crystal Display, TFT-LCD), light emitting diode (Light Emitting Diode, LED) display screen, have
Machine light emitting diode (Organic Light-Emitting Diode, OLED) display screen etc..
Different nervous activities can generate different brains, so as to show as different brain states.Different brains
Wave mode can send out various amplitude and the brain wave of frequency, and other than E.E.G, the contraction of muscle can also generate the wave of different mode
It moves, referred to as electromyogram.Smart machine can be detected as muscular movements such as blinks, thus can be flesh in brain wave
The electric wave that meat generates filters out.
Brain wave (Brain wave) is a kind of data obtained using electrophysiological index record brain activity, and brain is in work
When dynamic, a large amount of neurons synchronize what the postsynaptic potential occurred was formed after summation.It records electric wave variation during brain activity,
It is overall reflection of the bioelectrical activity in cerebral cortex or scalp surface of cranial nerve cell.
Brain wave is some spontaneous rhythmic neural electrical activities, and frequency variation range is between 1-30 times per second
, brain wave can be divided into four wave bands, i.e. δ (1-3Hz), θ (4-7Hz), α (8-13Hz), β (14- by frequency
30Hz).In addition to this, when being absorbed in a certain thing, a kind of frequencies of Chang Kejian γ waves higher compared with β waves, frequency for 30~
80Hz, wave amplitude range are indefinite；In sleep it may also occur that the more special normal brain wave of other waveforms, such as hump wave, σ
Wave, λ waves, κ-complex wave, μ waves etc..
It is the oscillogram of δ waves as shown in Figure 1a, frequency is 1~3Hz, and amplitude is 20~200 μ V.When people is in infancy or intelligence
Under extremely tired, lethargic sleep or narcosis this wave band can be recorded in temporal lobe and top in power developmental immaturity, adult.
It is the oscillogram of θ waves as shown in Figure 1 b, frequency is 4~7Hz, and amplitude is 5~20 μ V.Baffle in adult's wish or
Person depression and mental patient in this wave it is extremely notable.
It is the oscillogram of α waves as illustrated in figure 1 c, frequency is 8~13Hz (average 10Hz), and amplitude is 20~100 μ V.
It is the basilic rhythm of normal brain electric wave, if without additional stimulation, frequency is fairly constant.People is in awake, peace
Quiet and the rhythm and pace of moving things is the most apparent when closing one's eyes, when opening eyes (by light stimulus) or receiving other stimulations, α waves disappear at once.
It is the oscillogram of β waves as shown in Figure 1 d, frequency is 14~30Hz, and amplitude is 100~150 μ V.When nervous and
Occurs this wave when excited or excited, when people wakes from a nightmare with a start, the slow wave rhythm and pace of moving things originally can be replaced by the rhythm and pace of moving things immediately
Generation.
Referring to Fig.2, Fig. 2 is a kind of electronic device that the application provides, as shown in Fig. 2, electronic device can include：Touch-control
Display screen, application processor AP 202, transceiver 201, brain wave component 203；The touching display screen, is received brain wave component 203
Hair device 201 is connect by least one circuit 204 with AP202；Optionally, in the electronic device, others can also be set
Sensor, the sensor include but not limited to：Camera, gravity sensor, range sensor, loud speaker etc..
AP202, for when determining to be located at indoor environment, control brain wave component 203 to obtain brain wave data, to the brain
Wave data carries out analyzing the corresponding first state of determining brain wave data；
It is above-mentioned determine positioned at indoor environment mode can there are many, for example, in one optional technical solution of the application
In, the title 1 of the network access point of electronic device can be extracted, determines whether the title 1 is company access points title or family
Access point name such as determines that the title 1 for company access points title or the title of home access point, determines that the electronic device is located at
Indoor environment.
For another example, in the application in another optional technical solution, the position coordinates of electronic device can be extracted, determining should
Position coordinates belong to CompanyAddress position coordinates or home address position coordinates when, determining should be in indoor environment.Certainly
Other modes can also be used to determine to be located at indoor environment in practical applications, the application specific embodiment is not intended to limit really
The specific implementation of the fixed indoor environment.
Brain wave component 203 obtain brain wave data mode can also there are many, for example, in a kind of optional technical side
In case, can brain wave data be obtained by brain wave electrode, certainly in another optional technical solution, can passed through
Sensor carrys out contactless acquisition brain wave data.The application specific embodiment does not limit to the side that above-mentioned brain wave data obtains
Formula.
AP202 is additionally operable to obtain N number of parameter of the smart home product of indoor environment, determine in N number of parameter whether with
The first state conflict such as determines that N number of parameter conflicts with the first state, obtains the consequences of hostilities, according to the consequences of hostilities
Control command is generated, the control command is used to adjust N number of parameter so that N number of parameter after adjustment is not rushed with first state
It is prominent；Above-mentioned N is the integer more than or equal to 1.
Above-mentioned N number of parameter is specifically as follows, temperature, humidity, unlatching, closing, brightness, volume etc. parameter.Specifically, such as
The smart home product includes：When intelligent lamp and intelligent sound, which can include：Brightness and volume.Such as intelligence
Family product includes：When intelligent door and window and air-conditioning, which can include:It is turned on and off and temperature.Certainly it is above-mentioned
Solely for the purpose of illustration, the application specific embodiment does not limit to the specific manifestation form of above-mentioned N number of parameter to N number of parameter.
Transceiver 201, for the control command to be sent to smart home product.
It is above-mentioned the control command is sent to smart home product to be specifically as follows, the control is sent by way of unicast
Order, certainly in practical applications, can also send the control command with the mode of broadcast.It orders the transmission mode sent
It can be the mode of wire transmission or wireless transmission, when being such as wireless transmission, the control can be transmitted by short haul connection mode
System order, certainly in practical applications, can also transmit the control command, the application specific embodiment party using mobile communication
Formula does not limit to the sending method of above-mentioned control command or the specific communication protocol of use.
The electronic device that the application provides obtains brain wave data, to the brain wave number when determining in indoor environment
Obtain first state according to analysis, then obtain smart home product N number of parameter, analyze N number of parameter whether with first state
Conflict such as conflicts, then generates control command according to the first state, which is sent to smart home product, in this way
Can smart home be controlled by the brain wave data of user.
Optionally, above-mentioned first state can specifically include：Sleep state, non-sleep state.
Optionally, it is above-mentioned to determine whether the implementation to conflict with the first state is specifically as follows in N number of parameter：
Join for M corresponding with determining the first state in parameter mapping relations from preset state according to first state
Several ranges, from N number of x parameter of parameter extraction, the x parameter parameter Chong Die with M parameter for N number of parameter determines the x
Whether parameter belongs to the range, if x parameter is beyond the range, determines that N number of parameter conflicts with the first state, from x parameter
It is middle to extract y parameter for exceeding the range as conflict as a result, conversely, as x parameter belongs to the range, determine N number of parameter
Do not conflict with the first state, above-mentioned x, y are the integer more than or equal to 1 and are less than or equal to N, M.
The implementation whether to conflict is illustrated with the example of a reality below, is specifically as follows：
Such as first state is sleep state, corresponding M parameter can be that temperature and volume may range from, temperature
Spend range【20 DEG C, 28 DEG C】, volume range【0,30dB】, N number of x parameter of parameter extraction is specifically, temperature=25 DEG C, sound at this time
Amount=35dB；Since parameter volume has been more than the range, determine that N number of parameter conflicts with the first state, consequences of hostilities is volume
=35dB.
Optionally, it is above-mentioned to be specifically as follows according to consequences of hostilities generation control command, determine y in the consequences of hostilities
Parameter if the y parameter is more than the range, generates the reduction order of y parameter, raw if the y parameter is less than the setting range
Into the increase order of y parameter.
Optionally, AP202 determines whether, with δ waves, such as to determine have specifically for carrying out the brain wave data analysis
δ waves determine that first state for sleep state, does not have δ waves such as, and it is non-sleep state to determine first state.
Optionally, p value specifically for extracting p value of the brain wave data, is formed input data matrix by AP202,
By the input data matrix be input in preset neural network model perform multilayer forward operation obtain forward operation as a result, according to
The first state is determined according to the forward operation result.The value range of above-mentioned p can be the integer more than or equal to 2, specifically, should
The value range of p can be larger, is greater than being equal to 1000, the value of certain above-mentioned p can also be according to the preset neural network
The size of input matrix determines in model, such as the input matrix of the preset time domain neural network model is H*W, wherein H
For the height value of input matrix, W is the width value of input matrix, then the p=H*W.
Specifically, the mode for determining the first state according to the forward operation result can specifically include：
Input data matrix execution multilayer forward operation is obtained into forward operation matrix of consequence, extracts the forward operation knot
It is more than Z element of given threshold in fruit matrix in multiple elements, extracts the corresponding forward operation matrix of consequence of the Z element
Z position (i.e. the value of H, W), the corresponding Z state in Z position of extraction, as having more than half in the Z state for sleep shape
State determines first state as sleep state, conversely, as having more than half in the Z state for non-sleep state, determines the first shape
State is non-sleep state.
Refering to Fig. 3, Fig. 3 provides a kind of information response's method based on brain wave, and the method is applied to electronic device
Interior, as shown in Figure 1 or 2, described method includes following steps for the structure of the electronic device：
Step S301, when determining to be located at indoor environment, the brain wave component retrieval brain wave data is controlled, to described
Brain wave data carries out analysis and determines the corresponding first state of the brain wave data；
It is above-mentioned determine positioned at indoor environment mode can there are many, for example, in one optional technical solution of the application
In, the title 1 of the network access point of electronic device can be extracted, determines whether the title 1 is company access points title or family
Access point name such as determines that the title 1 for company access points title or the title of home access point, determines that the electronic device is located at
Indoor environment.
For another example, in the application in another optional technical solution, the position coordinates of electronic device can be extracted, determining should
Position coordinates belong to CompanyAddress position coordinates or home address position coordinates when, determining should be in indoor environment.Certainly
Other modes can also be used to determine to be located at indoor environment in practical applications, the application specific embodiment is not intended to limit really
The specific implementation of the fixed indoor environment.
Step S302, obtain N number of parameter of the smart home product of indoor environment, determine in N number of parameter whether with
The first state conflict, N number of parameter as described in determining conflict with the first state, the consequences of hostilities are obtained, according to the punching
Prominent result generation control command, the control command cause N number of parameter after adjustment and the first shape for adjusting N number of parameter
State does not conflict；The N is the integer more than or equal to 1；
Above-mentioned N number of parameter is specifically as follows, temperature, humidity, unlatching, closing, brightness, volume etc. parameter.Specifically, such as
The smart home product includes：When intelligent lamp and intelligent sound, which can include：Brightness and volume.Such as intelligence
Family product includes：When intelligent door and window and air-conditioning, which can include:It is turned on and off and temperature.Certainly it is above-mentioned
Solely for the purpose of illustration, the application specific embodiment does not limit to the specific manifestation form of above-mentioned N number of parameter to N number of parameter.
Step S303, the control command is sent to the smart home product.
The technical solution that the application provides obtains brain wave data, to the brain wave number when determining in indoor environment
Obtain first state according to analysis, then obtain smart home product N number of parameter, analyze N number of parameter whether with first state
Conflict such as conflicts, then generates control command according to the first state, which is sent to smart home product, in this way
Can smart home be controlled by the brain wave data of user, improve user experience.
Refering to Fig. 4, Fig. 4 provides a kind of electronic device, and the electronic device includes：Processing unit 401, touch-control are shown
Screen, brain wave component 403, transceiver 404, the touching display screen, brain wave component 403, transceiver 404 and processing unit 401
It can be connected by bus, certainly in practical applications, other connection modes can also be used, the application is not intended to limit above-mentioned
The specific manifestation form of connection.
Processing unit 401, for when determining to be located at indoor environment, control brain wave component 403 to obtain brain wave data,
Analysis is carried out to the brain wave data and determines the corresponding first state of the brain wave data；
Processing unit 401 is additionally operable to obtain N number of parameter of the smart home product of indoor environment, determines N number of parameter
In whether conflict with the first state, determine as described in N number of parameter conflict with the first state, obtain the consequences of hostilities, according to
Control command is generated according to the consequences of hostilities, the control command causes N number of parameter after adjusting for adjusting N number of parameter
Do not conflict with first state；The N is the integer more than or equal to 1；
Transceiver 404, for the control command to be sent to the smart home product.
The technical solution that the application provides obtains brain wave data, to the brain wave number when determining in indoor environment
Obtain first state according to analysis, then obtain smart home product N number of parameter, analyze N number of parameter whether with first state
Conflict such as conflicts, then generates control command according to the first state, which is sent to smart home product, in this way
Can smart home be controlled by the brain wave data of user, improve user experience.
Fig. 5 is illustrated that the block diagram with the part-structure of the relevant mobile phone of mobile terminal provided by the embodiments of the present application.Ginseng
Fig. 5 is examined, mobile phone includes：Radio frequency (Radio Frequency, RF) circuit 910, memory 920, input unit 930, sensor
950th, audio collection device 960, Wireless Fidelity (Wireless Fidelity, WiFi) module 970, application processor AP980, with
And the components such as power supply 990, brain wave component 999.It will be understood by those skilled in the art that the handset structure shown in Fig. 5 is not
The restriction to mobile phone is formed, can include either combining certain components or different portions than illustrating more or fewer components
Part is arranged.
Each component parts of mobile phone is specifically introduced with reference to Fig. 5：
Input unit 930 can be used for receiving input number or character information and generate with the user setting of mobile phone with
And the key signals input that function control is related.Specifically, input unit 930 may include touching display screen 933, fingerprint identification device
931st, face identification device 936, iris identification device 937 and other input equipments 932.Input unit 930 can also include
Other input equipments 932.Specifically, other input equipments 932 can include but is not limited to physical button, function key (such as sound
Measure control button, switch key etc.), it is trace ball, mouse, one or more in operating lever etc..Wherein,
AP980, for when determining to be located at indoor environment, control brain wave component 999 to obtain brain wave data, to described
Brain wave data carries out analysis and determines the corresponding first state of the brain wave data；
AP980 is additionally operable to obtain N number of parameter of the smart home product of indoor environment, determine in N number of parameter whether
Conflict with the first state, N number of parameter as described in determining conflicts with the first state, obtains the consequences of hostilities, according to described in
Consequences of hostilities generates control command, and the control command causes N number of parameter and first after adjusting for adjusting N number of parameter
State does not conflict；The N is the integer more than or equal to 1；
Wireless fidelity module 970, for the control command to be sent to the smart home product.
Optionally, AP980 determines whether, with δ waves, such as to determine tool specifically for carrying out the brain wave data analysis
There are δ waves, determine that first state for sleep state, does not have δ waves such as, it is non-sleep state to determine first state.
Optionally, AP980, specifically for extracting p value of the brain wave data, by described p value composition input number
According to matrix, the input data matrix is input to execution multilayer forward operation in preset neural network model and obtains positive fortune
It calculates as a result, extracting in the forward operation matrix of consequence and is more than Z element of given threshold in multiple elements, it is a to extract the Z
Z position of the corresponding forward operation matrix of consequence of element, the corresponding Z state in Z position of extraction, as in the Z state
There is more than half for sleep state, determine the first state as sleep state, be non-as there is more than half in the Z state
Sleep state, it is non-sleep state to determine the first state.
Optionally, AP980, specifically for according to the first state from preset state and parameter mapping relations
Determine the range of the corresponding M parameter of the first state, from described N number of x parameter of parameter extraction, the x parameter is institute
The Overlapping parameters of N number of parameter and the M parameter are stated, determine whether the x parameter belongs to the range, such as described x ginseng
Number determines that N number of parameter conflicts with the first state, extraction is beyond described from the x parameter beyond the range
As consequences of hostilities, the x, the y are the integer more than or equal to 1 and are less than or equal to N, M y parameter of range.
Optionally, AP980 is more than the range specifically for such as described y parameter, generates the first control command, described
First control command for reducing y parameter value, such as the y parameter be less than the setting range, generation the second control command,
Second control command is used to increase the value of the y parameter.
AP980 is the control centre of mobile phone, using various interfaces and the various pieces of connection whole mobile phone, passes through fortune
Row performs the software program being stored in memory 920 and/or module and calls the data being stored in memory 920,
The various functions of mobile phone and processing data are performed, so as to carry out integral monitoring to mobile phone.Optionally, AP980 may include one or
Multiple processing units；Optionally, AP980 can integrate application processor and modem processor, wherein, application processor is main
Processing operation system, user interface and application program etc., modem processor mainly handle wireless communication.It is appreciated that
It is that above-mentioned modem processor can not also be integrated into AP980.
In addition, memory 920 can include high-speed random access memory, nonvolatile memory, example can also be included
Such as at least one disk memory, flush memory device or other volatile solid-state parts.
RF circuits 910 can be used for sending and receiving for information.In general, RF circuits 910 include but not limited to antenna, at least one
A amplifier, transceiver, coupler, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..In addition,
RF circuits 910 can also communicate with network and other equipment by radio communication.Above-mentioned wireless communication can use any communication
Standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile
Communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code it is point more
Location (Code Division Multiple Access, CDMA), wideband code division multiple access (Wideband Code Division
Multiple Access, WCDMA), long term evolution (Long Term Evolution, LTE), Email, short message service
(Short Messaging Service, SMS) etc..
Mobile phone may also include at least one sensor 950, such as optical sensor, motion sensor and other sensors.
Specifically, optical sensor may include ambient light sensor and proximity sensor, wherein, ambient light sensor can be according to ambient light
Light and shade adjust the brightness of touching display screen, proximity sensor can when mobile phone is moved in one's ear, close touching display screen and/
Or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (generally three axis) acceleration
Size can detect that size and the direction of gravity when static, can be used to identify mobile phone posture application (such as horizontal/vertical screen switching,
Dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；It can also configure as mobile phone
The other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared ray sensor, details are not described herein.
Audio collection device 960, loud speaker 961, microphone 962 can provide the audio interface between user and mobile phone.Audio
The transformed electric signal of the audio data received can be transferred to loud speaker 961, is converted to by loud speaker 961 by collector 960
Voice signal plays；On the other hand, the voice signal of collection is converted to electric signal by microphone 962, is connect by audio collection device 960
Audio data is converted to after receipts, then after audio data is played AP980 processing, through RF circuits 910 to be sent to such as the other hand
Audio data is played to memory 920 to be further processed by machine.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronics postal by WiFi module 970
Part, browsing webpage and access streaming video etc., it has provided wireless broadband internet to the user and has accessed.Although Fig. 5 is shown
WiFi module 970, but it is understood that, and must be configured into for mobile phone is not belonging to, it can not change as needed completely
Become in the range of the essence of application and omit.
Mobile phone further includes the power supply 990 (such as battery) powered to all parts, and optionally, power supply can pass through power supply pipe
Reason system and AP980 are logically contiguous, so as to realize the work(such as management charging, electric discharge and power managed by power-supply management system
Energy.
Although being not shown, mobile phone can also include camera, bluetooth module, light compensating apparatus, light sensor etc., herein not
It repeats again.
As can be seen that by the embodiment of the present application, when determining in indoor environment, brain wave data is obtained, to the brain
Wave data is analyzed to obtain first state, then obtains N number of parameter of smart home product, whether analyzes N number of parameter with the
One state conflict such as conflicts, then generates control command according to the first state, which is sent to smart home production
Product can control smart home by the brain wave data of user in this way, improve user experience.
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, it is any as described in above-mentioned embodiment of the method which so that computer is performed
A kind of part or all of step of the intelligent home furnishing control method based on brain wave.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program are operable to that computer is made to perform such as above-mentioned side
The part or all of step of any intelligent home furnishing control method based on brain wave described in method embodiment.
It should be noted that for aforementioned each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the application is not limited by described sequence of movement because
According to the application, certain steps may be used other sequences or be carried out at the same time.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to alternative 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, such as the division of the unit, it is only a kind of
Division of logic function, can there is an other dividing mode in actual implementation, such as multiple units or component can combine or can
To be integrated into another system or some features can be ignored or does not perform.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 unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical unit, you can be located at a place or can also be distributed to 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
That each unit is individually physically present, can also two or more units integrate in a 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 software program module.
If the integrated unit is realized in the form of software program module and is independent product sale or uses
When, it can be stored in a computer-readable access to memory.Based on such understanding, the technical solution of the application substantially or
Person say the part contribute to the prior art or the technical solution all or part can in the form of software product body
Reveal and, which is stored in a memory, is used including some instructions so that a computer equipment
(can be personal computer, server or network equipment etc.) performs all or part of each embodiment the method for the application
Step.And aforementioned memory 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
It can 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, and the explanation of above example is only intended to help to understand the present processes and its core concept；
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 part, in conclusion the content of the present specification should not be construed as the limitation to the application.
Claims (12)
1. a kind of electronic device, the electronic device includes：Application processor AP, transceiver；It is characterized in that, the electronics dress
It puts and further includes：Brain wave component, the brain wave component are connect by least one circuit with the AP；
The AP, for when determining to be located at indoor environment, the brain wave component retrieval brain wave data being controlled, to the brain
Wave data carries out analysis and determines the corresponding first state of the brain wave data；
The AP is additionally operable to obtain N number of parameter of the smart home product of indoor environment, determine in N number of parameter whether with
The first state conflict, N number of parameter as described in determining conflict with the first state, obtain the consequences of hostilities, according to institute
Consequences of hostilities generation control command is stated, the control command is used to adjust N number of parameter；The N is whole more than or equal to 1
Number；
The transceiver, for the control command to be sent to the smart home product.
2. electronic device according to claim 1, which is characterized in that
The AP determines whether, with δ waves, such as to determine there is δ waves, determine specifically for carrying out the brain wave data analysis
First state is sleep state, does not have δ waves such as, and it is non-sleep state to determine first state.
3. electronic device according to claim 1, which is characterized in that
Described p value specifically for extracting p value of the brain wave data, is formed input data matrix, by institute by the AP
State input data matrix be input in preset neural network model perform multilayer forward operation obtain forward operation as a result, extraction
It is more than Z element of given threshold in the forward operation matrix of consequence in multiple elements, it is corresponding just extracts the Z element
To Z position of operation result matrix, the corresponding Z state in Z position of extraction, as there is more than half to be in the Z state
Sleep state determines the first state as sleep state, as having more than half in the Z state for non-sleep state, really
The fixed first state is non-sleep state.
4. according to the electronic device described in claim 1-3 any one, which is characterized in that
The AP, specifically for determining described the from preset state and parameter mapping relations according to the first state
The range of the corresponding M parameter of one state, from described N number of x parameter of parameter extraction, the x parameter for N number of parameter with
The Overlapping parameters of the M parameter, determine whether the x parameter belongs to the range, and such as the x parameter exceeds the model
It encloses, determines that N number of parameter conflicts with the first state, extraction is beyond y parameter of the range from the x parameter
As consequences of hostilities, the x, the y are the integer more than or equal to 1 and are less than or equal to N, M.
5. electronic device according to claim 4, which is characterized in that
The AP is more than the range specifically for such as described y parameter, generates the first control command, the first control life
The value for reducing y parameter is enabled, such as y parameter is less than the setting range, generates the second control command, second control
System orders the value for increasing the y parameter.
6. a kind of intelligent home furnishing control method based on brain wave, which is characterized in that the method is applied to electronic device, described
Electronic device includes：Application processor AP, transceiver, the electronic device further include：Brain wave component, the brain wave component
It is connect by least one circuit with the AP；
Determine be located at indoor environment when, control the brain wave component retrieval brain wave data, to the brain wave data into
Row analysis determines the corresponding first state of the brain wave data；
N number of parameter of the smart home product of indoor environment is obtained, determines whether rushed in N number of parameter with the first state
Prominent, N number of parameter as described in determining conflicts with the first state, obtains the consequences of hostilities, is generated according to the consequences of hostilities
Control command, the control command are used to adjust N number of parameter；The N is the integer more than or equal to 1；
The control command is sent to the smart home product.
7. according to the method described in claim 6, it is characterized in that, it is described the brain wave data is carried out analysis determine it is described
The corresponding first state of brain wave data, including：
Analysis is carried out to the brain wave data to determine whether, with δ waves, such as to determine that there is δ waves, determine first state for sleep
State does not have δ waves such as, and it is non-sleep state to determine first state.
8. according to the method described in claim 6, it is characterized in that, it is described the brain wave data is carried out analysis determine it is described
The corresponding first state of brain wave data, including：
P value of the brain wave data is extracted, described p value is formed into input data matrix, by the input data matrix
It is input to execution multilayer forward operation in preset neural network model and obtains forward operation as a result, extracting the forward operation knot
It is more than Z element of given threshold in fruit matrix in multiple elements, extracts the corresponding forward operation matrix of consequence of the Z element
Z position, it is sleep state to have more than half in the corresponding Z state in Z position of extraction, such as the Z state, determines institute
First state is stated as sleep state, as having more than half in the Z state for non-sleep state, determines that the first state is
Non-sleep state.
9. according to the method described in claim 6-8 any one, which is characterized in that
According to the first state from preset state with determining that the first state is M corresponding in parameter mapping relations
The range of parameter, from described N number of x parameter of parameter extraction, weight of the x parameter for N number of parameter and the M parameter
Folded parameter, determines whether the x parameter belongs to the range, and such as the x parameter determines described N number of beyond the range
Parameter conflicts with the first state, from the x parameter extraction beyond y parameter of the range as consequences of hostilities,
The x, the y are the integer more than or equal to 1 and are less than or equal to N, M.
10. a kind of electronic device, the electronic device includes：Processing unit, transceiver, which is characterized in that the electronic device
It further includes：Brain wave component, the brain wave component are connect with the processing unit；
The processing unit, it is right for when determining to be located at indoor environment, controlling the brain wave component retrieval brain wave data
The brain wave data carries out analysis and determines the corresponding first state of the brain wave data；
The processing unit is additionally operable to obtain N number of parameter of the smart home product of indoor environment, determines in N number of parameter
Whether conflict with the first state, N number of parameter as described in determining conflicts with the first state, obtains the consequences of hostilities, foundation
The consequences of hostilities generates control command, the control command be used to adjusting N number of parameter cause N number of parameter after adjustment with
First state does not conflict；The N is the integer more than or equal to 1；
The transceiver, for the control command to be sent to the smart home product.
11. a kind of computer readable storage medium, which is characterized in that it stores the computer program for electronic data interchange,
Wherein, the computer program causes computer to perform such as claim 6-9 any one of them methods.
12. a kind of computer program product, which is characterized in that the computer program product includes storing computer program
Non-transient computer readable storage medium, the computer program are operable to that computer is made to perform such as claim 6-9
Method described in one.
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