CN108494955A - Network connection control method and related product - Google Patents
Network connection control method and related product Download PDFInfo
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- CN108494955A CN108494955A CN201810204852.0A CN201810204852A CN108494955A CN 108494955 A CN108494955 A CN 108494955A CN 201810204852 A CN201810204852 A CN 201810204852A CN 108494955 A CN108494955 A CN 108494955A
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- 238000010586 diagram Methods 0.000 description 17
- 230000036651 mood Effects 0.000 description 15
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- 241000282693 Cercopithecidae Species 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/02—Constructional features of telephone sets
- H04M1/0202—Portable telephone sets, e.g. cordless phones, mobile phones or bar type handsets
- H04M1/026—Details of the structure or mounting of specific components
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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- 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
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/18—Selecting a network or a communication service
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 is acquired by the brain wave component, first eeg signal carries the identification information of network access equipment；First parsing is carried out to first eeg signal, obtains the identification information；Web search is carried out according to the identification information, obtains the corresponding target network of the network access equipment；Access the target network.User can be parsed by brain wave using the embodiment of the present application and want the network of connection, and access the network, improve network connection efficiency.
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, web search is often first carried out, furthermore be manually entered password, after password authentification success, can just connect Wi-Fi, therefore,
Reduce network insertion efficiency.
Invention content
The embodiment of the present application provides a kind of network connection control method and Related product, can promote network insertion effect
Rate.
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, for acquiring the first eeg signal, first eeg signal carries network insertion
The identification information of equipment；
The processor obtains the identification information for carrying out the first parsing to first eeg signal；
The communication module obtains the network access equipment pair for carrying out web search according to the identification information
The target network answered；And the access target 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 is acquired by the brain wave component, first eeg signal carries network insertion and sets
Standby identification information；
First parsing is carried out to first eeg signal, obtains the identification information；
Web search is carried out according to the identification information, obtains the corresponding target network of the network access equipment；
Access the target 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：
Acquiring unit, for acquiring the first eeg signal, first eeg signal by the brain wave component
Carry the identification information of network access equipment；
Resolution unit obtains the identification information for carrying out the first parsing to first eeg signal；
It is corresponding to obtain the network access equipment for carrying out web search according to the identification information for search unit
Target network；
Access unit, for accessing the target 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, are applied to electronics
Equipment, electronic equipment acquire the first eeg signal by brain wave component, and the first eeg signal carries network access equipment
Identification information, to the first eeg signal carry out first parsing, obtain identification information, according to identification information carry out network search
Rope obtains the corresponding target network of network access equipment, target network is accessed, it is thus possible to parse user by brain wave
Want the network of connection, and access the network, improves network connection efficiency.
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.Network access equipment can be router,
Alternatively, hot spot (mobile phone open hot spot).In the embodiment of the present application, network 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 is 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 the structural schematic diagram that the embodiment of the present application provides a kind of electronic equipment 100, above-mentioned electricity
Sub- equipment 100 includes：Processor 110, brain wave component 120 and communication module 130, brain wave component 120 and communication module 130
(for example, Wi-Fi module) is electrically connected to processor 110, wherein：
The brain wave component 120, for acquiring the first eeg signal, first eeg signal carries network and connects
Enter the identification information of equipment；
The processor 110 obtains the identification information for carrying out the first parsing to first eeg signal；
The communication module 130 obtains the network access equipment for carrying out web search according to the identification information
Corresponding target network；And the access target network.
As can be seen that the electronic equipment described in the embodiment of the present application, the first brain wave is acquired by brain wave component
Signal, the first eeg signal carry the identification information of network access equipment, carry out the first parsing to the first eeg signal, obtain
To identification information, web search is carried out according to identification information, obtains the corresponding target network of network access equipment, accesses target network
Network it is thus possible to which parsing user by brain wave wants the network of connection, and accesses the network, improves network connection effect
Rate.
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, the identification information includes location information；
In terms of the progress web search according to the identification information, the communication module 130 is specifically used for：
Indoor map is obtained, and is marked and the location information pair in the indoor map according to the location information
The network access equipment answered, and obtain the unique identification information of the network access equipment；
Web search is carried out according to the unique identification information.
In a possible example, the processor 110 also particularly useful for：
Determine the distance between the electronic equipment and the location information；
The distance be less than pre-determined distance when, by the communication module execute it is described according to the unique identification information into
The step of row web search.
In a possible example, the identification information includes complete or part unique identification information；
In terms of carrying out web search according to the identification information, the communication module 130 is specifically used for：
Web search is carried out according to the complete or part unique identification information.
In a possible example, in terms of the access target network, including：
The brain wave component 120, also particularly useful for acquiring the second eeg signal；
The processor 110 carries out the second parsing also particularly useful for second eeg signal, obtains authentication
Information；
The communication module 130 accesses the target network also particularly useful for when the authentication information is verified
Network.
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, and first eeg signal carries network insertion and sets
Standby identification information；
The processor 110 carries out the first parsing to first eeg signal, obtains the identification information；
The communication module 130 carries out web search according to the identification information, obtains the network access equipment and corresponds to
Target network；And the access target 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 is acquired by the brain wave component, first eeg signal carries network and connects
Enter the identification information of equipment.
Wherein, identification information can be following at least one：Network access equipment position (location name, position coordinates,
The image of position region), the unique mark of voice, character, pattern, smell, part or complete network access equipment
Information etc., unique identification information can be：Service set (service set identifier, SSID), BSSID (basic
service set identification).Above-mentioned first eeg signal can be the eeg signal in a period of time, or
Person, eeg signal when meditating identification information can be " oppo ", by taking voice as an example by taking character as an example, can be " one
Head songs ", can be " a certain pictures " by taking image as an example, can be " cup " by taking three-dimensional object as an example, by taking animal as an example,
It can be " dog ", can be " one of cuisines " etc. by taking smell as an example.
Optionally, the first eeg signal can come from user, and user is not limited only to people, can also be have the dynamic of thinking
Object (for example, monkey), alternatively, robot etc..
Optionally, can also include the following steps before executing above-mentioned steps 101：
When user pays close attention to the network access equipment, execute described by the brain wave component the first brain wave of acquisition
The step of signal.
Wherein, the mode of concern can be that user watch the duration of network access equipment attentively and reach the first preset duration, first
Preset duration can be voluntarily arranged by user or system default, alternatively, can be the correlation that user meditates network access equipment
The duration of information (for example, SSID, BSSID, position, date of manufacture, model, color, volume, shape etc.) reach second it is default when
Long, the second preset duration can be voluntarily arranged by user or system default.
102, the first parsing is carried out to first eeg signal, obtains the identification information.
Wherein, due to carrying identification information in eeg signal, eeg signal can be parsed, be obtained
Identification information.
Optionally, above-mentioned steps 102 carry out the first parsing to first eeg signal, obtain the identification information,
It may include steps of
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 target signatures；
24, according to the correspondence between preset feature and keyword, each mesh in the multiple target signature is determined
The corresponding target keywords of feature are marked, and the target keywords are generated into the identification information.
Wherein, above-mentioned pretreatment can be following at least one：Signal amplification, filtering (low-pass filtering, high-pass filtering, band
Pass filter etc.), Signal separator (for example, the eeg signal of multiple users, isolates the eeg signal of designated user, alternatively,
The eeg signal for including multiple neurons isolates the eeg signal with the relevant neuron of mood) etc..To first
After eeg signal is pre-processed, sampling and quantification treatment can be carried out with reference to eeg signal to first, obtain the
One discrete eeg signal, sampling, quantization can reduce data volume and promote analysis efficiency, can be to the first discrete brain wave
Signal carries out feature extraction, obtains multiple target signatures, target signature can be following at least one：Waveform, the period, amplitude,
Peak value, valley, maximum value minimum etc..Keyword can be following at least one：Character, pattern etc., can in electronic equipment
To prestore the correspondence between feature and keyword, in turn, determined according to the correspondence every in multiple target signatures
The corresponding target keywords of one target signature generate identification information according to target keywords.
103, web search is carried out according to the identification information, obtains the corresponding target network of the network access equipment.
Wherein, after obtaining the identification information of network access equipment, it can search for according to identification information and be connect with network
Enter the corresponding target network of equipment.
Optionally, the identification information includes location information；Above-mentioned steps 103 carry out network according to the identification information
Search, it may include following steps：
31, indoor map is obtained, and marks in the indoor map according to the location information and believes with the position
The corresponding network access equipment is ceased, and obtains the unique identification information of the network access equipment；
32, web search is carried out according to the unique identification information.
Wherein, identification information can be the location information of network access equipment can obtain indoor map, foundation in turn
The location information marks network access equipment corresponding with location information from indoor map, can directly acquire network insertion
The unique identification information of equipment.Alternatively, can also be prestored between location information and unique identification information in electronic equipment
Mapping relations can obtain unique identification information, in this way, user, which may be implemented, sees that network connects by the mapping relations in turn
Enter equipment (such as router) or expect network access equipment, the network access equipment can be searched for.
Still optionally further, between above-mentioned steps 31- steps 32, can also include the following steps：
Determine the distance between the electronic equipment and the location information；
When the distance is less than pre-determined distance, the step that web search is carried out according to the unique identification information is executed
Suddenly.
Wherein, above-mentioned pre-determined distance can be voluntarily arranged or system default by user.Above-mentioned location information corresponds to one
Position (i.e. the position of network access equipment), and electronic equipment is located at another location, hence, it can be determined that electronic equipment and position
The distance between information carries out web search, due to connecting when the distance is less than pre-determined distance according to unique identification information
When network, for example, Wi-Fi, between mobile phone and router relatively far apart or can not connect or, signal is weaker, because
This, can pre-set pre-determined distance, in this way, to a certain extent can distance farther out (electronic equipment and location information it
Between distance be greater than or equal to pre-determined distance) when, then do not execute according to unique identification information carry out web search, electricity can be reduced
The power consumption of sub- equipment.
Optionally, the identification information includes complete or part unique identification information；It is above-mentioned according to the identification information
Web search is carried out, including：
Web search is carried out according to the complete or part unique identification information.
Wherein, identification information can be complete or part unique identification information, for example, complete S SID is cathay007, portion
It is cathay to divide SSID, can carry out web search according to cathay007 or cathay.Certainly, if part unique mark is believed
If breath carries out web search, multiple networks are likely to be obtained, can show multiple network, and choose what needs were searched for by user
Network.
104, the target network is accessed.
Wherein, electronic equipment can obtain verification password input by user, and be verified to the verification password, to,
Target network is accessed, alternatively, electronic equipment can be directly accessed target network.
Wherein, the target network is accessed, it may include following steps in above-mentioned steps 104：
41, the second eeg signal is acquired by the brain wave component；
42, the second parsing is carried out to second eeg signal, obtains authentication information, believed in the authentication
When breath is verified, the target network is accessed.
Wherein, above-mentioned authentication information can be following at least one：The intrinsic frequency of brain wave, the wave of brain wave
Shape, the electroencephalogram converted by brain wave, the specified content etc. parsed by eeg signal, above-mentioned authentication information may be used also
The content that eeg signal is characterized is thought, for example, the content can be at least one of following：User emotion, the age, gender,
IQ, occupation, species, ethnic group (yellow, white people, black race, miscegenation people etc.) etc..Different users, corresponding brain wave
It is different, therefore, can by the difference of brain wave, to, identify the identity of different user, it is each for brain wave
The brain wave of user can correspond to an intrinsic frequency, unique identification user identity may be implemented by the intrinsic frequency, together
Reason, the waveform of brain wave, alternatively, it is same by the electroencephalogram that brain wave converts, it can also realize unique identification user identity,
Above-mentioned specified content can be：Word, character, pattern, sound, taste, object, action etc..It is parsed by eeg signal
Specified content, when can meditate " specified content " in user, can carry in eeg signal, electronic equipment believes brain wave
Number carry out second parsing, can therefrom extract " specified content ".
It for above-mentioned steps 42, is only illustrated with user emotion, the second parsing is carried out to second eeg signal,
Target user's mood is obtained, is included the following steps：
21, second eeg signal is pre-processed, obtains second and refers to eeg signal；
22, it is sampled and quantification treatment with reference to eeg signal to described second, obtains the second discrete brain wave letter
Number；
23, multiple extreme points of the described second discrete eeg signal are determined；
24, using the mean square deviation of the multiple extreme point as with reference to mood value；
25, it according to the mapping relations between preset mood value and type of emotion, determines described corresponding with reference to mood value
Target user's mood.
Wherein, above-mentioned type of emotion may include following at least one type：It is pleasure, anger, sorrow, happiness, tired, sad, gloomy, tired
It is hot-tempered, fear, worry etc., the application is without limitation.Above-mentioned pretreatment can be following at least one：Signal amplification, filter
Wave (low-pass filtering, high-pass filtering, bandpass filtering etc.), Signal separator are (for example, the eeg signal of multiple users, isolates finger
Determine the eeg signal of user, alternatively, including the eeg signal of multiple neurons, isolates and the relevant neuron of mood
Eeg signal) etc..After being pre-processed to the second eeg signal, it can be carried out with reference to eeg signal to second
Sampling and quantification treatment, obtain the second discrete eeg signal, and sampling, quantization can reduce data volume and promote analysis effect
Rate, can extract multiple extreme points of the second discrete eeg signal, and extreme point may include maximum and minimum, can be with
It determines that the mean square deviation of multiple extreme points, mean square deviation are demonstrated by the mood swing of user to a certain extent, therefore, mean square deviation is made
To refer to mood value, the mapping relations between mood value and type of emotion, in turn, Ke Yiyi can be prestored in electronic equipment
It is determined according to the mapping relations and is worth corresponding target user's mood with reference to mood.
Under illustration, illustrate how to obtain with reference to mood value in detail below.
Assuming that there are following 5 extreme points A, B, C, D and E, then, the average value of 5 extreme pointsCan be：
In turn, it can get the meansquaredeviationσ of above-mentioned extreme point.
It should illustrate, the meansquaredeviationσ of above-mentioned acquisition can be used as referring to mood value.
The mapping relations between mood value and type of emotion are elaborated with reference to table 1.As shown in table 1.
Table 1
Wherein, σ indicates that mood value, a, b, c, d, e, f, g, h, i, k, l are all constant, and b≤c, d≤e, f≤g, h≤
I, and j≤k.For example, as a≤σ≤b, determine that the corresponding type of emotion of the second eeg signal of user at this time is
Happiness.
As can be seen that the network connection control method described in the embodiment of the present application, is applied to electronic equipment, electronics is set
Standby to acquire the first eeg signal by brain wave component, the first eeg signal carries the identification information of network access equipment,
First parsing is carried out to the first eeg signal, obtains identification information, web search is carried out according to identification information, network is obtained and connects
Enter the corresponding target network of equipment, access target network, it is thus possible to parse the net that user wants connection by brain wave
Network, and the network is accessed, improve network connection efficiency.
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 is acquired by the brain wave component, first eeg signal carries network and connects
Enter the identification information of equipment.
202, the first parsing is carried out to first eeg signal, obtains the identification information.
203, web search is carried out according to the identification information, obtains the corresponding target network of the network access equipment.
204, the second eeg signal is acquired by the brain wave component.
Wherein, above-mentioned second eeg signal can be the eeg signal in a period of time, alternatively, content is specified in meditation
When eeg signal, specified content can be following at least one：Character, pattern, sound, smell, three-dimension object etc..
It can be " oppo ", by taking voice as an example by taking character as an example, can be " a first song ", can be " a certain picture by taking image as an example
Face " can be " cup " by taking three-dimensional object as an example, can be " dog " by taking animal as an example, can be with by taking smell as an example
It is " one of cuisines " etc..
205, the second parsing is carried out to second eeg signal, obtains authentication information；
Wherein, above-mentioned authentication information can be following at least one：The intrinsic frequency of brain wave, the wave of brain wave
Shape, the electroencephalogram converted by brain wave, the specified content etc. parsed by eeg signal, above-mentioned authentication information may be used also
The content that eeg signal is characterized is thought, for example, the content can be at least one of following：User emotion, the age, gender,
IQ, occupation, species, ethnic group (yellow, white people, black race, miscegenation people etc.) etc..Different users, corresponding brain wave
It is different, therefore, can by the difference of brain wave, to, identify the identity of different user, it is each for brain wave
The brain wave of user can correspond to an intrinsic frequency, unique identification user identity may be implemented by the intrinsic frequency, together
Reason, the waveform of brain wave, alternatively, it is same by the electroencephalogram that brain wave converts, it can also realize unique identification user identity,
Above-mentioned specified content can be：Word, character, pattern, sound, taste, object, action etc..It is parsed by eeg signal
Specified content, when can meditate " specified content " in user, can carry in eeg signal, electronic equipment believes brain wave
Number carry out second parsing, can therefrom extract " specified content ".
206, when the authentication information is verified, the target network is accessed.
Wherein it is possible to by authentication information default authentication information progress corresponding with the first eeg signal
Match, in successful match, access target network, when it fails to match, prompts user to carry out authentication again.
As can be seen that the network connection control method described in the embodiment of the present application, is applied to electronic equipment, electronics is set
Standby to acquire the first eeg signal by brain wave component, the first eeg signal carries the identification information of network access equipment,
First parsing is carried out to the first eeg signal, obtains identification information, web search is carried out according to identification information, network is obtained and connects
Enter the corresponding target network of equipment, the second eeg signal is acquired by brain wave component, the is carried out to the second eeg signal
Two parsings, obtain authentication information, when authentication information is verified, target network are accessed, it is thus possible to pass through brain
Electric wave parses user and wants the network of connection, and accesses the network, improves network connection efficiency.
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 is acquired by the brain wave component, first eeg signal carries network insertion and sets
Standby identification information；
First parsing is carried out to first eeg signal, obtains the identification information；
Web search is carried out according to the identification information, obtains the corresponding target network of the network access equipment；
Access the target network.
As can be seen that the electronic equipment described in the embodiment of the present application, can acquire the first brain electricity by brain wave component
Wave signal, the first eeg signal carry the identification information of network access equipment, and the first parsing is carried out to the first eeg signal,
Identification information is obtained, web search is carried out according to identification information, obtains the corresponding target network of network access equipment, accesses target
Network it is thus possible to which parsing user by brain wave wants the network of connection, and accesses the network, improves network connection
Efficiency.
In a possible example, the identification information includes location information；
It is described web search is carried out according to the identification information in terms of, instruction in described program be specifically used for executing with
Lower operation：
Indoor map is obtained, and is marked and the location information pair in the indoor map according to the location information
The network access equipment answered, and obtain the unique identification information of the network access equipment；
Web search is carried out according to the unique identification information.
In a possible example, the instruction in described program is also particularly useful for operation below executing：
Determine the distance between the electronic equipment and the location information；
When the distance is less than pre-determined distance, the step that web search is carried out according to the unique identification information is executed
Suddenly.
In a possible example, the identification information includes complete or part unique identification information；
It is described web search is carried out according to the identification information in terms of, instruction in described program be specifically used for executing with
Lower operation：
Web search is carried out according to the complete or part unique identification information.
In a possible example, in terms of the access target network, the instruction in described program is specifically used
The operation below executing：
The second eeg signal is acquired by the brain wave component；
Second parsing is carried out to second eeg signal, obtains authentication information；
When the authentication information is verified, the target network is accessed.
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 acquiring unit 401, resolution unit 402, search unit 403 and access unit 404, wherein
Acquiring unit 401, for acquiring the first eeg signal, the first brain wave letter by the brain wave component
Number carry network access equipment identification information；
Resolution unit 402 obtains the identification information for carrying out the first parsing to first eeg signal；
Search unit 403 obtains the network access equipment and corresponds to for carrying out web search according to the identification information
Target network；
Access unit 404, for accessing the target network.
As can be seen that the network connection control device described in the embodiment of the present application, is applied to electronic equipment, passes through brain
Electric wave component acquires the first eeg signal, and the first eeg signal carries the identification information of network access equipment, to the first brain
Electric wave signal carries out the first parsing, obtains identification information, carries out web search according to identification information, obtains network access equipment pair
The target network answered accesses target network, it is thus possible to which parsing user by brain wave wants the network of connection, and accesses
The network improves network connection efficiency.
In a possible example, the identification information includes location information；
In terms of the progress web search according to the identification information, described search unit 403 is specifically used for：
Indoor map is obtained, and is marked and the location information pair in the indoor map according to the location information
The network access equipment answered, and obtain the unique identification information of the network access equipment；
Web search is carried out according to the unique identification information.
In a possible example, described search unit 403 also particularly useful for：
Determine the distance between the electronic equipment and the location information；
When the distance is less than pre-determined distance, the step that web search is carried out according to the unique identification information is executed
Suddenly.
In a possible example, the identification information includes complete or part unique identification information；
In terms of the progress web search according to the identification information, described search unit 403 is specifically used for：
Web search is carried out according to the complete or part unique identification information.
In a possible example, in terms of the access target network, the access unit 404 is specifically used
In：
The second eeg signal is acquired by the brain wave component；
Second parsing is carried out to second eeg signal, obtains authentication information；
When the authentication information is verified, the target network is accessed.
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, for acquiring the first eeg signal, first eeg signal carries network access equipment
Identification information；
The processor obtains the identification information for carrying out the first parsing to first eeg signal；
It is corresponding to obtain the network access equipment for carrying out web search according to the identification information for the communication module
Target network；And the access target network.
2. electronic equipment according to claim 1, which is characterized in that the identification information includes location information；
In terms of the progress web search according to the identification information, the communication module is specifically used for：
Indoor map is obtained, and is marked in the indoor map according to the location information corresponding with the location information
The network access equipment, and obtain the unique identification information of the network access equipment；
Web search is carried out according to the unique identification information.
3. electronic equipment according to claim 2, which is characterized in that the processor also particularly useful for：
Determine the distance between the electronic equipment and the location information；
When the distance is less than pre-determined distance, net is carried out according to the unique identification information by communication module execution is described
The step of network is searched for.
4. electronic equipment according to claim 1, which is characterized in that the identification information includes complete or part is unique
Identification information；
In terms of the progress web search according to the identification information, the communication module is specifically used for：
Web search is carried out according to the complete or part unique identification information.
5. electronic equipment according to any one of claims 1 to 4, which is characterized in that in the access target network
Aspect, including：
The brain wave component, also particularly useful for acquiring the second eeg signal；
The processor carries out the second parsing also particularly useful for second eeg signal, obtains authentication information；
The communication module accesses the target network also particularly useful for when the authentication information is verified.
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 is acquired by the brain wave component, first eeg signal carries network access equipment
Identification information；
First parsing is carried out to first eeg signal, obtains the identification information；
Web search is carried out according to the identification information, obtains the corresponding target network of the network access equipment；
Access the target network.
7. according to the method described in claim 6, it is characterized in that, the identification information includes location information；
It is described that web search is carried out according to the identification information, including：
Indoor map is obtained, and is marked in the indoor map according to the location information corresponding with the location information
The network access equipment, and obtain the unique identification information of the network access equipment；
Web search is carried out according to the unique identification information.
8. the method according to the description of claim 7 is characterized in that the method further includes：
Determine the distance between the electronic equipment and the location information；
When the distance is less than pre-determined distance, described the step of carrying out web search according to the unique identification information is executed.
9. according to the method described in claim 6, it is characterized in that, the identification information includes complete or part unique mark
Information；
It is described that web search is carried out according to the identification information, including：
Web search is carried out according to the complete or part unique identification information.
10. according to claim 6 to 9 any one of them method, which is characterized in that the access target network, including：
The second eeg signal is acquired by the brain wave component；
Second parsing is carried out to second eeg signal, obtains authentication information；
When the authentication information is verified, the target network is accessed.
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：
Acquiring unit, for acquiring the first eeg signal by the brain wave component, first eeg signal carries
The identification information of network access equipment；
Resolution unit obtains the identification information for carrying out the first parsing to first eeg signal；
Search unit obtains the corresponding target of the network access equipment for carrying out web search according to the identification information
Network；
Access unit, for accessing the target 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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