CN108449757A - Network connection control method and related product - Google Patents
Network connection control method and related product Download PDFInfo
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- CN108449757A CN108449757A CN201810205998.7A CN201810205998A CN108449757A CN 108449757 A CN108449757 A CN 108449757A CN 201810205998 A CN201810205998 A CN 201810205998A CN 108449757 A CN108449757 A CN 108449757A
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- 238000000034 method Methods 0.000 title claims abstract description 48
- 210000004556 brain Anatomy 0.000 claims abstract description 64
- 238000004891 communication Methods 0.000 claims abstract description 22
- 238000004590 computer program Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 15
- 238000013497 data interchange Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 17
- 230000006870 function Effects 0.000 description 13
- 210000002569 neuron Anatomy 0.000 description 12
- 238000000060 site-specific infrared dichroism spectroscopy Methods 0.000 description 6
- 238000001914 filtration Methods 0.000 description 5
- 230000005611 electricity Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 241001465754 Metazoa Species 0.000 description 3
- 230000009471 action Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000013507 mapping Methods 0.000 description 3
- 230000001537 neural effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000003321 amplification Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000007177 brain activity Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 241000282693 Cercopithecidae Species 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 210000003128 head Anatomy 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000036651 mood Effects 0.000 description 1
- 210000005036 nerve Anatomy 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 210000004761 scalp Anatomy 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/06—Authentication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/08—Access security
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
- H04W76/11—Allocation or use of connection identifiers
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- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the present application discloses a kind of network connection control method and Related product, is applied to electronic equipment, the electronic equipment includes processor, and the brain wave component and communication module being connected to the processor, wherein this method include：The first eeg signal of user is acquired by the brain wave component, first eeg signal carries preset password；First eeg signal is parsed, the preset password is obtained；Web search is carried out according to the preset password, obtains at least one first network with the preset password match；A first network is selected to carry out network connection from least one first network.The intelligent and simple operation of electronic equipment can be promoted using the embodiment of the present application.
Description
Technical field
This application involves signal processing technology fields, and in particular to a kind of network connection control method and Related product.
Background technology
With a large amount of popularization and applications of electronic equipment (such as mobile phone, tablet computer), what electronic equipment can be supported answers
With more and more, function is stronger and stronger, and electronic equipment develops towards diversification, personalized direction, becomes in user's life
Indispensable appliance and electronic.User is usually interacted by the forms such as finger touch, voice input and electronic equipment, is controlled
Electronic equipment completes types of functionality.
By taking mobile phone as an example, in practical applications, mobile phone is in connection Wireless Fidelity (wireless fidelity, Wi-Fi)
When, it generally requires user and inputs password, therefore, reduce the intelligent of mobile phone, and operation is not convenient enough.
Invention content
The embodiment of the present application provides a kind of network connection control method and Related product, can promote the intelligence of electronic equipment
It can property and simple operation.
In a first aspect, the embodiment of the present application provide a kind of electronic equipment, the electronic equipment includes processor, and with institute
The brain wave component and communication module of processor connection are stated, wherein：
The brain wave component, the first eeg signal for acquiring user, first eeg signal carry pre-
If password；
The processor obtains the preset password for being parsed to first eeg signal；
The communication module obtains and the preset password match for carrying out web search according to the preset password
At least one first network；And a first network is selected to carry out network connection from least one first network.
Second aspect, the embodiment of the present application provide a kind of network connection control method, are applied to electronic equipment, the electronics
Equipment includes brain wave component, the method includes：
The first eeg signal of user is acquired, first eeg signal carries preset password；
First eeg signal is parsed, the preset password is obtained；
Web search is carried out according to the preset password, obtains at least one first net with the preset password match
Network；
A first network is selected to carry out network connection from least one first network.
The third aspect, the embodiment of the present application provide a kind of network connection control device, are applied to electronic equipment, the electronics
Equipment includes brain wave component, wherein described device includes：
Collecting unit, the first eeg signal for acquiring user, first eeg signal carry preset password；
Resolution unit obtains the preset password for being parsed to first eeg signal；
Search unit is obtained with the preset password match extremely for carrying out web search according to the preset password
A few first network；
Connection unit, for selecting a first network to carry out network connection from least one first network.
Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, 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.
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.
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.The computer program product can be one
A software installation packet.
As can be seen that network connection control method and Related product described in the embodiment of the present application, acquire user's
First eeg signal, the first eeg signal carry preset password, are parsed to the first eeg signal, obtain default close
Code carries out web search according to preset password, obtains at least one first network with preset password match, from least one the
A first network is selected to carry out network connection in one network, it is thus possible to password is carried using eeg signal, and according to this
Password carries out web search, obtains the network with password match, to which the network for choosing one and password match carries out network company
It connects, network connection can be realized without user's input password by realizing, and improve the intelligent and simple operation of electronic equipment
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 the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Figure 1B is a kind of structural schematic diagram of brain wave component provided by the embodiments of the present application；
Fig. 1 C are the structural schematic diagrams of the electronic equipment of integrated brain wave component provided by the embodiments of the present application；
Fig. 1 D are the structural schematic diagrams of another brain wave component provided by the embodiments of the present application；
Fig. 1 E are the structural schematic diagrams of another brain wave component provided by the embodiments of the present application；
Fig. 1 F are the structural schematic diagrams of another brain wave component provided by the embodiments of the present application；
Fig. 1 G are the structural schematic diagrams of another brain wave component provided by the embodiments of the present application；
Fig. 1 H are a kind of structural schematic diagrams of electrod-array provided by the embodiments of the present application；
Fig. 1 I are the exemplary plots of the signal processing circuit of brain wave component provided by the embodiments of the present application；
Fig. 1 J are a kind of flow diagrams of network connection control method provided by the embodiments of the present application；
Fig. 2 is the flow diagram of another network connection control method provided by the embodiments of the present application；
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 4 is a kind of functional unit composition block diagram of network connection control device provided by the embodiments of the present application.
Specific implementation mode
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
Term " first ", " second " in the description and claims of this application and above-mentioned attached drawing etc. are for distinguishing
Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as process, method, system, product or the equipment for containing series of steps or unit do not have
It is defined in the step of having listed or unit, but further includes the steps that optionally not listing or unit, or optionally also wrap
It includes for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Electronic equipment involved by the embodiment of the present application may include various handheld devices with wireless communication function,
Mobile unit, wearable device, computing device or other processing equipments 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 equipment.In the embodiment of the present application, network (for example,
First network, the second network, third network etc.) can be following one kind：Mobile communications network (for example, 2G, 3G, 4G, 5G etc.),
Wi-Fi network, visible light wireless communication (light fidelity, LiFi) network, black light wireless network etc..
It describes in detail below to the embodiment of the present application.
A is please referred to Fig.1, Figure 1A is that an embodiment of the present invention provides the structural schematic diagram of a kind of electronic equipment 100, above-mentioned electricity
Sub- equipment 100 includes：It processor 110, brain wave component 120, communication module 130 (such as Wi-Fi module), display screen 140 and takes the photograph
As head 150, brain wave component 120, communication module 130, display screen 140 and camera 150 are electrically connected to processor 110,
In：
The brain wave component 120, the first eeg signal for acquiring user, first eeg signal carry
Preset password；
The processor 110 obtains the preset password for being parsed to first eeg signal；
The communication module 130 obtains and the preset password for carrying out web search according to the preset password
At least one first network matched；And a first network is selected to carry out network company from least one first network
It connects.
As can be seen that the electronic equipment described in the embodiment of the present application, can acquire the first eeg signal of user, the
One eeg signal carry preset password, the first eeg signal is parsed, preset password is obtained, according to preset password into
Row web search obtains at least one first network with preset password match, and one is selected from least one first network
First network carries out network connection, it is thus possible to carry password using eeg signal, and carries out network according to the password and searches
Rope obtains the network with password match, to which the network for choosing one and password match carries out network connection, realizes and does not have to
User, which inputs password, can realize network connection, improve the intelligent and simple operation of electronic equipment.
Wherein, brain wave component 120 is properly termed as brain wave chip, brain wave receiver etc. again, the brain wave component 120
It is integrated to there is special signal processing circuit, and connect with the processor of electronic equipment in the electronic device, according to acquisition class signal
Type can be divided into current type brain wave component and electromagnetic type brain wave component, and current type brain wave component is for acquiring cortex production
Raw bioelectricity, electromagnetic type brain wave component is for acquiring the electromagnetic wave radiated when human brain activity, in this case, brain electricity
Parts for wave 120 is equivalent to an antenna, for receiving brain wave.It is understood that the specific form of the brain wave component 120
It can be diversified, not do unique restriction herein.
For example, as shown in Figure 1B, which may include Anneta module and signal processing module, tool
Body can be integrated on the main circuit board of electronic equipment, and Anneta module acquires the electromagnetic wave signal generated when human brain activity, signal
Processing module executes the processing such as denoising, filtering, signal amplification, coding/decoding, quantization, digital-to-analogue conversion for the electromagnetic wave signal, most
End form is sent to processor at benchmark eeg signal and is handled.
Again for example, as shown in Figure 1 C and 1D, which may include wearable signal picker, should
Wearable signal picker can be contained in the host cavity of the rear shell of electronic equipment as shown in Figure 1 C, in use, such as Fig. 1 D
It is shown, wearable signal picker and electronic equipment local terminal wired connection or it is wirelessly connected (the corresponding wearable letter of wireless connection
Number collector is integrated with communication module and is communicated to connect with electronic equipment local terminal).
Optionally, above-mentioned wearable signal picker may include following at least one：The brain wave helmet, brain wave ear
Ring, brain wave hearing aid, brain wave glasses, brain wave hair clip, brain wave et al. Ke chip, brain wave patch, brain wave ear
Machine etc..
It illustrates down again, as referring to figure 1E, by taking user's et al. Ke brain wave et al. Ke chip as an example, brain wave body
Chip is implanted into for connecting multiple neural sensors, each neural sensor is set to each neuron, for receiving
Eeg signal from each neuron.In specific works, neural sensor acquires the eeg signal from neuron,
And the neuron mark that the eeg signal is carried to the neuron is sent to brain wave et al. Ke chip, then pass through brain wave
Eeg signal is sent to brain wave component by et al. Ke chip.As shown in fig. 1F, certainly, if between user and electronic equipment
Distance be more than pre-determined distance when, eeg signal can be amplified by eeg signal amplifier, then, will be amplified
Eeg signal afterwards is sent to brain wave et al. Ke chip.Above-mentioned neuron mark is used for unique identification neuron, nerve
Member mark is specifically as follows number, position coordinates, neuron title etc..
Therefore, the eeg signal in the embodiment of the present application can be following at least one：The eeg signal of left brain, the right side
The eeg signal of brain, at least one neuron eeg signal, come from corticocerebral some region of eeg signal
Etc., it is not limited thereto.
Again for example, as shown in Fig. 1 G to 1I, which may include electrod-array and signal processing mould
Block, 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 array, the letter
Number processing circuit part may include signal amplifier, signal filter, demultiplexer, analog to digital conversion circuit, interface circuit
Deng.
Wherein, processor 121 includes application processor and baseband processor, and processor is the control centre of electronic equipment,
Using the various pieces of various interfaces and the entire electronic equipment 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 equipment
According to carry out integral monitoring to electronic equipment.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.Electronic equipment further includes memory, and memory is stored for storing software program and module, processor by running
In the software program and module of memory, to execute various function application and the data processing of electronic equipment.Memory
Can include mainly storing program area and storage data field, wherein storing program area can storage program area, at least one function institute
The application program etc. needed；Storage data field can be stored uses created data etc. according to electronic equipment.In addition, memory can
Can also include nonvolatile memory to include high-speed random access memory, a for example, at least disk memory is dodged
Memory device or other volatile solid-state parts.
In a possible example, first eeg signal also carries the imperfect unique mark of network to be connected
Information；
First eeg signal is parsed described, in terms of obtaining the preset password, the processor 110
It is specifically used for：
First eeg signal is parsed, the preset password and the imperfect unique mark are obtained
Information；
Web search is carried out according to the preset password described, obtains at least one the with the preset password match
One network facet, the communication module 130 are specifically used for：
Web search is carried out according to the imperfect unique identification information, obtains multiple second networks；
The preset password is matched with the password of the multiple second network, obtains at least one first net
Network.
In a possible example, web search is carried out according to the preset password described, obtains presetting with described
In terms of at least one first network of password match, the communication module 130 is specifically used for：
Web search is carried out, multiple third networks are obtained, each network corresponds to a signal strength；
The third network that signal strength is more than preset signal strength threshold value is filtered out from the multiple third network, is obtained
Multiple third target networks；
The preset password is matched with the password of the multiple third network, obtains at least one first net
Network.
In a possible example, the electronic equipment further includes display screen 140；
The display screen 140, for showing network list, the network list packet on the display screen of the electronic equipment
Include the network information of at least one first network；
The brain wave component 120, for obtaining the second eeg signal；
The processor 110 obtains target keywords for being parsed to second eeg signal；
It is described logical in terms of one first network progress network connection of the selection from least one first network
Module 130 is believed, for choosing the corresponding target of the network information first comprising the target keywords from the network list
Network, and connect the target first network.
In a possible example, the electronic equipment further includes camera 150；
The camera 150 is regarded for determining that user's sight watches the target area of the electronic equipment attentively in the user
When the duration that line watches the target area attentively is more than preset duration, the second brain of the acquisition is executed by the brain wave component 120
The step of electric wave signal.
Based on the electronic equipment of above-mentioned Figure 1A descriptions, a kind of following network connection control method is can be used to implement, including
Following steps：
The brain wave component 120 acquires the first eeg signal of user, and first eeg signal carries default
Password；
The processor 110 parses first eeg signal, obtains the preset password；
The communication module 130 carries out web search according to the preset password, obtains and the preset password match
At least one first network；And a first network is selected to carry out network connection from least one first network.
J is please referred to Fig.1, Fig. 1 J are that the embodiment of the present application provides a kind of flow diagram of network connection control method,
Applied to the electronic equipment as described in Figure 1A, the electronic equipment includes brain wave component, as shown, present networks connection control
Method includes：
101, the first eeg signal of user is acquired, first eeg signal carries preset password.
Wherein, above-mentioned preset password can be the content of user's meditation, when above-mentioned first eeg signal can be one section
Eeg signal when interior meditation preset password, preset password can be following at least one：Character, image, is stood voice
Body object, animal, smell etc. can be " oppo ", by taking voice as an example by taking character as an example, can be " a first song ", with image
For, it can be " a certain picture ", can be " cup " by taking three-dimensional object as an example, can be " one by taking animal as an example
Dog " can be " one of cuisines " etc. by taking smell as an example.
Optionally, above-mentioned user is not limited only to people, the animal (for example, monkey) for having thinking is can also be, alternatively, machine
People etc..
102, first eeg signal is parsed, obtains the preset password.
Wherein, above-mentioned first eeg signal carries preset password, therefore, can be solved to the first eeg signal
Analysis, obtains preset password.
Optionally, above-mentioned steps 102 parse first eeg signal, obtain the preset password, can wrap
Include following steps：
21, first eeg signal is pre-processed, obtains first and refers to eeg signal；
22, it is sampled and quantification treatment with reference to eeg signal to described first, obtains the first discrete brain wave letter
Number；
23, feature extraction is carried out to the described first discrete eeg signal, obtains multiple characteristic values；
24, it according to the mapping relations between preset characteristic value and keyword, obtains corresponding with the multiple characteristic value
The target keywords are formed the preset password by target keywords.
Wherein, above-mentioned keyword can be following at least one：Character, waveform, pattern, object etc., above-mentioned pretreatment can
Think following at least one：Signal amplification, filtering (low-pass filtering, high-pass filtering, bandpass filtering etc.), Signal separator are (for example, more
The eeg signal of a user isolates the eeg signal of designated user, alternatively, the letter of the brain wave comprising multiple neurons
Number, isolate the eeg signal with the relevant neuron of mood) etc..First eeg signal is being carried out to pre-process it
Afterwards, sampling and quantification treatment can be carried out with reference to eeg signal to first, obtains the first discrete eeg signal, sample,
Quantization can reduce data volume and promote analysis efficiency, can carry out feature extraction to the first discrete eeg signal, obtain
Multiple characteristic values, characteristic value can be following at least one：Amplitude, extreme value, period etc..It can be prestored in electronic equipment
Mapping relations between characteristic value and keyword can determine the corresponding target of multiple characteristic values according to the mapping relations in turn
Keyword, since each characteristic value one time point of correspondence in multiple characteristic values can be by multiple mesh according to chronological order
It marks keyword and forms preset password.
103, web search is carried out according to the preset password, obtains at least one first with the preset password match
Network.
Wherein, for example, when opening Wi-Fi, web search can be carried out, obtains multiple networks, each network can be with
A corresponding access point, each access point can input password by user, if password authentification passes through, can carry out Wi-Fi
Connection.Certainly, in network search procedure, a network list (for example, Wi-Fi lists) can be obtained, it can in network list
To show that the network information of diverse access point, the network information may include following at least one：Service set (service
Set identifier, SSID), BSSID (basic service set identification), network formats (2G, 3G,
4G, 5G etc.), network operator etc..
Optionally, first eeg signal also carries the imperfect unique identification information of network to be connected；Above-mentioned step
Rapid 102, first eeg signal is parsed, the preset password is obtained, can be implemented as follows：
First eeg signal is parsed, the preset password and the imperfect unique mark are obtained
Information；
In above-mentioned steps 103, web search is carried out according to the preset password, is obtained with the preset password match extremely
A few first network, it may include following steps：
A1, web search is carried out according to the imperfect unique identification information, obtains multiple second networks；
A2, the preset password is matched with the password of the multiple second network, obtains described at least one
One network.
Wherein, above-mentioned imperfect unique identification information can be SSID partial character (for example, SSID is cathay999,
Its part can be " 999 " either " cathay ") or BSSID partial character.It is carried out according to imperfect unique identification information
Web search can obtain multiple second networks, can be by multiple second network displays in network list, and by preset password
It is matched with the password of multiple second networks, obtains at least one first network.
Optionally, in above-mentioned steps 103, web search is carried out according to the preset password, is obtained and the preset password
Matched at least one first network, it may include following steps：
B1, web search is carried out, obtains multiple third networks, each network corresponds to a signal strength；
B2, the third network that signal strength is more than preset signal strength threshold value is filtered out from the multiple third network,
Obtain multiple third target networks；
B3, the preset password is matched with the password of the multiple third network, obtains described at least one
One network.
Wherein, above-mentioned preset signal strength threshold value can be voluntarily arranged or system default by user.Electronic equipment can be with
Web search is carried out, obtains multiple third networks, each third network can correspond to a signal strength, in this way, can obtain
Multiple signal strengths filter out the third net that signal strength is more than preset signal strength threshold value from multiple signal strengths in turn
Network obtains multiple third networks, and signal strength is too weak after all, and the network of connection reduces user experience to a certain extent, because
This, can with the strong network of selection signal intensity, can by multiple third network displays in network list, and by preset password with
The password of multiple third networks is matched, and at least one first network is obtained.
104, a first network is selected to carry out network connection from least one first network.
Wherein, electronic equipment can from least one first network the strongest first network of selection signal intensity, alternatively,
The best first network of stability can be selected from least one first network, alternatively, can be from least one first network
The middle selection shortest first network of the distance between one router and electronic equipment, alternatively, can be from least one first net
A network is randomly choosed in network, and to selecting first network carries out network connection.
Optionally, in above-mentioned steps 104, a first network is selected to carry out network from least one first network
Connection, it may include following steps：
41, show that network list, the network list include described at least one on the display screen of the electronic equipment
The network information of first network；
42, the second eeg signal is obtained；
43, second eeg signal is parsed, obtains target keywords；
44, corresponding the first net of target of the network information for including the target keywords is chosen from the network list
Network, and connect the target first network.
May include at least one in the network list wherein it is possible to show network list on the display screen of electronic equipment
The network information of a first network, the network information can be following at least one：SSID, BSSID, network formats (2G, 3G, 4G,
5G etc.), network operator etc..
In addition, the specific implementation of above-mentioned steps 43 is referred to the specific implementation of above-mentioned steps 102, it is no longer superfluous herein
It states.In turn, the corresponding target first network of the network information for including target keywords can be chosen from network list, and is connected
Target first network.
Optionally, can also include the following steps between above-mentioned steps 41 and step 42：
It determines that user's sight watches the target area of the network list attentively, watches the target area attentively in user's sight
Duration be more than preset duration when, execute the second eeg signal of the acquisition the step of.
Wherein, above-mentioned preset duration can be voluntarily arranged or system default by user.When connecting a certain network,
It includes the network that user wants connection that user, which can use a certain region in eye gaze network list, a certain region, in turn,
When the duration in user's sight fixation object region is more than preset duration, then the second eeg signal can be obtained.
As can be seen that the network connection control method described in the embodiment of the present application, acquires the first brain wave of user
Signal, the first eeg signal carry preset password, are parsed to the first eeg signal, obtain preset password, according to pre-
If password carries out web search, at least one first network with preset password match is obtained, from least one first network
One first network of selection carries out network connection, it is thus possible to carry password using eeg signal, and is carried out according to the password
Web search obtains the network with password match, to which the network for choosing one and password match carries out network connection, realizes
Do not have to user and input password can to realize network connection, improves the intelligent and simple operation of electronic equipment.
It is consistent with embodiment shown in above-mentioned Fig. 1 J, referring to Fig. 2, Fig. 2 is a kind of net provided by the embodiments of the present application
Network connects the flow diagram of control method, is applied to the electronic equipment as described in Figure 1A, the electronic equipment includes brain wave
Component, as shown, present networks connection control method includes：
201, the first eeg signal of user is acquired by the brain wave component, first eeg signal carries
The imperfect unique identification information of preset password and network to be connected.
202, first eeg signal is parsed, obtains the preset password and described imperfect unique
Identification information.
203, web search is carried out according to the imperfect unique identification information, obtains multiple second networks.
204, the preset password is matched with the password of the multiple second network, obtains described at least one
One network.
205, a first network is selected to carry out network connection from least one first network.
Wherein, the specific descriptions of above-mentioned steps 201-205 are referred in network connection control method described in Fig. 1
Corresponding step, details are not described herein.
For example, user thinks that the SSID of access point of connection does not remember clearly, but when only remember password, then it can pass through this
The mode that application provides carries out network connection, it is thus possible in the case where user need not be manually entered password, realizes quick
Network connection.
As can be seen that the network connection control method described in the embodiment of the present application, is acquired by brain wave component and is used
First eeg signal at family, the first eeg signal carry the imperfect unique mark letter of preset password and network to be connected
Breath, the first eeg signal is parsed, preset password and imperfect unique identification information are obtained, according to it is imperfect only
One identification information carries out web search, obtains multiple second networks, by the progress of the password of preset password and multiple second networks
Match, obtain at least one first network, selects a first network to carry out network connection from least one first network, such as
This, thinks that the network information of the password of the access point of connection is not remembered clearly in user, such as only remember part SSID, but remember password
In the case of, realize fast network connection.
It is consistent with above-mentioned Fig. 1 J, embodiment shown in Fig. 2, referring to Fig. 3, Fig. 3 is provided by the embodiments of the present application one
The structural schematic diagram of kind of electronic equipment, as shown, the electronic equipment includes processor, memory, communication interface and one
Or multiple programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned processor
It executes, above procedure includes the instruction for executing following steps:
The first eeg signal of user is acquired by the brain wave component, first eeg signal carries default
Password；
First eeg signal is parsed, the preset password is obtained；
Web search is carried out according to the preset password, obtains at least one first net with the preset password match
Network；
A first network is selected to carry out network connection from least one first network.
As can be seen that the electronic equipment described in the embodiment of the present application, acquires the first eeg signal of user, first
Eeg signal carries preset password, is parsed to the first eeg signal, obtains preset password, carried out according to preset password
Web search obtains at least one first network with preset password match, and one the is selected from least one first network
One network carries out network connection, it is thus possible to carry password using eeg signal, and carries out web search according to the password,
The network with password match is obtained, to which the network for choosing one and password match carries out network connection, realizes without user
Input password can realize network connection, improve the intelligent and simple operation of electronic equipment.
In a possible example, first eeg signal also carries the imperfect unique mark of network to be connected
Information；
First eeg signal is parsed described, in terms of obtaining the preset password, in described program
Instruction is specifically used for executing following operation：
First eeg signal is parsed, the preset password and the imperfect unique mark are obtained
Information；
Web search is carried out according to the preset password described, obtains at least one the with the preset password match
One network facet, the instruction in described program are specifically used for executing following operation：
Web search is carried out according to the imperfect unique identification information, obtains multiple second networks；
The preset password is matched with the password of the multiple second network, obtains at least one first net
Network.
It is described that web search is carried out according to the preset password in a possible example, obtain with it is described default close
The matched at least one first network of code, the instruction in described program are specifically used for executing following operation：
Web search is carried out, multiple third networks are obtained, each network corresponds to a signal strength；
The third network that signal strength is more than preset signal strength threshold value is filtered out from the multiple third network, is obtained
Multiple third target networks；
The preset password is matched with the password of the multiple third network, obtains at least one first net
Network.
In a possible example, a first network is selected to carry out from least one first network described
In terms of network connection, the instruction in described program is specifically used for executing following operation：
Show that network list, the network list include described at least one first on the display screen of the electronic equipment
The network information of network；
Obtain the second eeg signal；
Second eeg signal is parsed, target keywords are obtained；
The corresponding target first network of the network information for including the target keywords is chosen from the network list, and
Connect the target first network.
In a possible example, the instruction in described program is also particularly useful for operation below executing：
It determines that user's sight watches the target area of the network list attentively, watches the target area attentively in user's sight
Duration be more than preset duration when, execute the second eeg signal of the acquisition the step of.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is appreciated that
, for electronic equipment in order to realize above-mentioned function, it comprises execute the corresponding hardware configuration of each function and/or software mould
Block.Those skilled in the art should be readily appreciated that, 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 equipment according to the above method example division of functional unit, for example, can
Each functional unit is divided with each function of correspondence, two or more functions can also be integrated in a processing unit
In.The form that hardware had both may be used in above-mentioned integrated unit is realized, can also be realized in the form of SFU software functional unit.It needs
It is noted that be schematical, only a kind of division of logic function to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
Fig. 4 is the functional unit composition block diagram of network connection control device 400 involved in the embodiment of the present application.The net
Network connects control device 400 and is applied to electronic equipment, and the electronic equipment includes brain wave component, the network connection control device
400 include collecting unit 401, resolution unit 402, search unit 403 and connection unit 404, wherein
Collecting unit 401, the first eeg signal for acquiring user, first eeg signal carry default close
Code；
Resolution unit 402 obtains the preset password for being parsed to first eeg signal；
Search unit 403 obtains and the preset password match for carrying out web search according to the preset password
At least one first network；
Connection unit 404, for selecting a first network to carry out network connection from least one first network.
As can be seen that the network connection control device described in the embodiment of the present application, is applied to electronic equipment, can acquire
The first eeg signal of user, the first eeg signal carry preset password, parse, obtain to the first eeg signal
Preset password carries out web search according to preset password, at least one first network with preset password match is obtained, from least
A first network is selected to carry out network connection in one first network, it is thus possible to password is carried using eeg signal, and
Web search is carried out according to the password, obtains the network with password match, to which the network for choosing one and password match carries out
Network connection, network connection can be realized without user's input password by realizing, and improve the intelligent of electronic equipment and behaviour
Make convenience.
In a possible example, first eeg signal also carries the imperfect unique mark of network to be connected
Information；
First eeg signal is parsed described, in terms of obtaining the preset password, the resolution unit
402 are specifically used for：
First eeg signal is parsed, the preset password and the imperfect unique mark are obtained
Information；
It is described that web search is carried out according to the preset password, obtain at least one first with the preset password match
Network, including：
Web search is carried out according to the imperfect unique identification information, obtains multiple second networks；
The preset password is matched with the password of the multiple second network, obtains at least one first net
Network.
In a possible example, web search is carried out according to the preset password described, obtains presetting with described
In terms of at least one first network of password match, described search unit 403 is specifically used for：
Web search is carried out, multiple third networks are obtained, each network corresponds to a signal strength；
The third network that signal strength is more than preset signal strength threshold value is filtered out from the multiple third network, is obtained
Multiple third target networks；
The preset password is matched with the password of the multiple third network, obtains at least one first net
Network.
It is described to select a first network to carry out net from least one first network in a possible example
Network connects, and the connection unit 404 is specifically used for：
Show that network list, the network list include described at least one first on the display screen of the electronic equipment
The network information of network；
Obtain the second eeg signal；
Second eeg signal is parsed, target keywords are obtained；
The corresponding target first network of the network information for including the target keywords is chosen from the network list, and
Connect the target first network.
In a possible example, device shown in Fig. 4 can also include determination unit (not shown), specifically such as
Under：
The determination unit is regarded for determining that user's sight watches the target area of the network list attentively in the user
When the duration that line watches the target area attentively is more than preset duration, the acquisition the second brain electricity is executed by the acquiring unit 401
The step of wave signal.
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 electronic equipment.
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 electronic equipment.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily the application
It is necessary.
In 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 equipment, which is characterized in that the electronic equipment includes processor, and the brain being connected to the processor
Electric wave component and communication module, wherein：
The brain wave component, the first eeg signal for acquiring user, first eeg signal carry default close
Code；
The processor obtains the preset password for being parsed to first eeg signal；
The communication module is obtained with the preset password match extremely for carrying out web search according to the preset password
A few first network；And a first network is selected to carry out network connection from least one first network.
2. electronic equipment according to claim 1, which is characterized in that first eeg signal also carries net to be connected
The imperfect unique identification information of network；
First eeg signal is parsed described, in terms of obtaining the preset password, the processing implement body is used
In：
First eeg signal is parsed, the preset password and the imperfect unique identification information are obtained；
Web search is carried out according to the preset password described, obtains at least one first net with the preset password match
In terms of network, the communication module is specifically used for：
Web search is carried out according to the imperfect unique identification information, obtains multiple second networks；
The preset password is matched with the password of the multiple second network, obtains at least one first network.
3. electronic equipment according to claim 1, which is characterized in that searched according to preset password progress network described
Rope, in terms of obtaining at least one first network of the preset password match, the communication module is specifically used for：
Web search is carried out, multiple third networks are obtained, each network corresponds to a signal strength；
The third network that signal strength is more than preset signal strength threshold value is filtered out from the multiple third network, is obtained multiple
Third target network；
The preset password is matched with the password of the multiple third network, obtains at least one first network.
4. according to claim 1-3 any one of them electronic equipments, which is characterized in that the electronic equipment further includes display
Screen；
The display screen, for showing that network list, the network list include described on the display screen of the electronic equipment
The network information of at least one first network；
The brain wave component, for obtaining the second eeg signal；
The processor obtains target keywords for being parsed to second eeg signal；
In terms of one first network progress network connection of the selection from least one first network, the communication mould
Block, for choosing the corresponding target first network of the network information for including the target keywords from the network list, and
Connect the target first network.
5. electronic equipment according to claim 4, which is characterized in that the electronic equipment further includes camera；
The camera is watched attentively for determining that user's sight watches the target area of the electronic equipment attentively in user's sight
When the duration of the target area is more than preset duration, the second eeg signal of the acquisition is executed by the brain wave component
Step.
6. a kind of network connection control method, which is characterized in that be applied to electronic equipment, the electronic equipment includes brain wave portion
Part, the method includes：
The first eeg signal of user is acquired by the brain wave component, first eeg signal carries default close
Code；
First eeg signal is parsed, the preset password is obtained；
Web search is carried out according to the preset password, obtains at least one first network with the preset password match；
A first network is selected to carry out network connection from least one first network.
7. according to the method described in claim 6, it is characterized in that, first eeg signal also carries network to be connected
Imperfect unique identification information；
It is described that first eeg signal is parsed, the preset password is obtained, including：
First eeg signal is parsed, the preset password and the imperfect unique identification information are obtained；
It is described that web search is carried out according to the preset password, obtain at least one first net with the preset password match
Network, including：
Web search is carried out according to the imperfect unique identification information, obtains multiple second networks；
The preset password is matched with the password of the multiple second network, obtains at least one first network.
8. according to the method described in claim 6, it is characterized in that, it is described according to the preset password carry out web search, obtain
To at least one first network with the preset password match, including：
Web search is carried out, multiple third networks are obtained, each network corresponds to a signal strength；
The third network that signal strength is more than preset signal strength threshold value is filtered out from the multiple third network, is obtained multiple
Third target network；
The preset password is matched with the password of the multiple third network, obtains at least one first network.
9. according to claim 6-8 any one of them methods, which is characterized in that described from least one first network
One first network of selection carries out network connection, including：
Show that network list, the network list include at least one first network on the display screen of the electronic equipment
The network information；
Obtain the second eeg signal；
Second eeg signal is parsed, target keywords are obtained；
The corresponding target first network of the network information for including the target keywords is chosen from the network list, and is connected
The target first network.
10. according to claim 9 any one of them method, which is characterized in that the method further includes：
Determine that user's sight watches the target area of the network list attentively, when user's sight watches the target area attentively
It is long when being more than preset duration, the step of executing the second eeg signal of the acquisition.
11. a kind of network connection control device, which is characterized in that be applied to electronic equipment, the electronic equipment includes brain wave
Component, wherein described device includes：
Collecting unit, the first eeg signal for acquiring user, first eeg signal carry preset password；
Resolution unit obtains the preset password for being parsed to first eeg signal；
Search unit obtains at least one with the preset password match for carrying out web search according to the preset password
A first network；
Connection unit, for selecting a first network to carry out network connection from least one first network.
12. a kind of electronic equipment, which is characterized in that including processor, memory, the memory is for storing one or more
Program, and be configured to be executed by the processor, described program includes for executing as described in claim any one of 6-10
Method in step instruction.
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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| CN110972234A (en) * | 2019-11-28 | 2020-04-07 | 维沃移动通信有限公司 | Network connection method and electronic equipment |
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