CN108494955B - Network connection control method and related product - Google Patents
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Abstract
The embodiment of the application discloses a network connection control method and a related product, which are applied to electronic equipment, wherein the electronic equipment comprises a processor, and a brain wave component and a communication module which are connected with the processor, and the method comprises the following steps: acquiring a first brain wave signal through the brain wave component, wherein the first brain wave signal carries identification information of network access equipment; performing first analysis on the first brain wave signal to obtain the identification information; network searching is carried out according to the identification information to obtain a target network corresponding to the network access equipment; and accessing the target network. By adopting the method and the device, the network which the user wants to connect can be analyzed through the brain waves and accessed into the network, and the network connection efficiency is improved.
Description
Technical Field
The present application relates to the field of signal processing technologies, and in particular, to a network connection control method and a related product.
Background
With the widespread use of electronic devices (such as mobile phones, tablet computers, and the like), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users. Users usually interact with the electronic device through finger touch, voice input, and other forms to control the electronic device to complete various functions.
Taking a mobile phone as an example, in practical applications, when a mobile phone is connected to a wireless fidelity (Wi-Fi), network search is often performed first, and then a password is manually input, and after the password is successfully verified, the mobile phone can be connected to the Wi-Fi, so that the network access efficiency is reduced.
Disclosure of Invention
The embodiment of the application provides a network connection control method and a related product, which can improve the network access efficiency.
In a first aspect, an embodiment of the present application provides an electronic device, which includes a processor, and a brain wave component and a communication module connected to the processor, wherein:
the brain wave component is used for acquiring a first brain wave signal, and the first brain wave signal carries identification information of network access equipment;
the processor is used for performing first analysis on the first brain wave signal to obtain the identification information;
the communication module is used for carrying out network search according to the identification information to obtain a target network corresponding to the network access equipment; and accessing the target network.
In a second aspect, an embodiment of the present application provides a network connection control method applied to an electronic device including a brain wave component, the method including:
acquiring a first brain wave signal through the brain wave component, wherein the first brain wave signal carries identification information of network access equipment;
performing first analysis on the first brain wave signal to obtain the identification information;
network searching is carried out according to the identification information to obtain a target network corresponding to the network access equipment;
and accessing the target network.
In a third aspect, an embodiment of the present application provides a network connection control apparatus applied to an electronic device including a brain wave component, wherein the apparatus includes:
the acquisition unit is used for acquiring a first brain wave signal through the brain wave component, and the first brain wave signal carries identification information of network access equipment;
the analysis unit is used for carrying out first analysis on the first brain wave signal to obtain the identification information;
the searching unit is used for searching the network according to the identification information to obtain a target network corresponding to the network access equipment;
and the access unit is used for accessing the target network.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the second aspect of the embodiment of the present application.
In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform some or all of the steps described in the second aspect of the present application.
In a sixth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the second aspect of embodiments of the present application. The computer program product may be a software installation package.
It can be seen that the network connection control method and the related product described in the embodiments of the present application are applied to an electronic device, where the electronic device acquires a first brain wave signal through a brain wave component, the first brain wave signal carries identification information of a network access device, performs a first analysis on the first brain wave signal to obtain the identification information, performs a network search according to the identification information to obtain a target network corresponding to the network access device, and accesses the target network, so that a network that a user wants to connect to can be analyzed through the brain wave and accesses the network, thereby improving network connection efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 1B is a schematic structural diagram of an electroencephalogram component according to an embodiment of the present application;
fig. 1C is a schematic structural diagram of an electronic device integrated with a brain wave component according to an embodiment of the present application;
fig. 1D is a schematic structural diagram of another electroencephalogram component provided by an embodiment of the present application;
fig. 1E is a schematic structural diagram of another electroencephalogram component provided in an embodiment of the present application;
fig. 1F is a schematic structural diagram of another electroencephalogram component provided in an embodiment of the present application;
fig. 1G is a schematic structural diagram of another electroencephalogram component provided in an embodiment of the present application;
fig. 1H is a schematic structural diagram of an electrode array according to an embodiment of the present disclosure;
fig. 1I is an exemplary diagram of a signal processing circuit of a brain wave part provided in an embodiment of the present application;
fig. 1J is a schematic flowchart of a network connection control method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another network connection control method provided in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 4 is a block diagram of functional units of a network connection control apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic devices involved in the embodiments of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem with wireless communication functions, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal equipment (terminal device), and so on. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices. The network access device may be a router or a hotspot (handset open hotspot). In this embodiment, the network may be one of the following: mobile communication networks (e.g., 2G, 3G, 4G, 5G, etc.), Wi-Fi networks, visible light wireless communication (LiFi) networks, invisible light wireless networks, and so forth.
The following describes embodiments of the present application in detail.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, where the electronic device 100 includes: the processor 110, the brain wave component 120, and the communication module 130 (e.g., a Wi-Fi module) are electrically connected to the processor 110, wherein:
the brain wave component 120 is configured to collect a first brain wave signal, where the first brain wave signal carries identification information of a network access device;
the processor 110 is configured to perform a first analysis on the first brain wave signal to obtain the identification information;
the communication module 130 is configured to perform network search according to the identification information to obtain a target network corresponding to the network access device; and accessing the target network.
It can be seen that, in the electronic device described in this embodiment of the application, the first brain wave signal is acquired by the brain wave component, the first brain wave signal carries identification information of the network access device, the first brain wave signal is subjected to first analysis to obtain the identification information, network search is performed according to the identification information to obtain a target network corresponding to the network access device, and the target network is accessed, so that a network to which a user wants to connect is analyzed by the brain wave and is accessed to the network, and network connection efficiency is improved.
The brain wave unit 120 may be referred to as a brain wave chip, a brain wave receiver, or the like, and the brain wave unit 120 is integrated in an electronic device, has a dedicated signal processing circuit, is connected to a processor of the electronic device, and may be divided into a current type brain wave unit for collecting a bioelectric current generated from a cerebral cortex and an electromagnetic type brain wave unit for collecting an electromagnetic wave radiated from a brain during a movement of a human brain according to a type of a collected signal, in which case the brain wave unit 120 corresponds to an antenna for receiving the brain wave. It is understood that the specific form of the brain wave part 120 may be various and is not limited thereto.
For example, as shown in fig. 1B, the brain wave component 120 may include an antenna module and a signal processing module, and may be specifically integrated on a main circuit board of an electronic device, the antenna module collects electromagnetic wave signals generated during the activity of the human brain, and the signal processing module performs processing such as denoising, filtering, signal amplification, encoding/decoding, quantization, digital-to-analog conversion, and the like on the electromagnetic wave signals, and finally forms a reference brain wave signal and sends the reference brain wave signal to a processor for processing.
For another example, as shown in fig. 1C and 1D, the electroencephalogram component 120 may include a wearable signal collector, the wearable signal collector may be accommodated in an accommodating cavity of a rear housing of the electronic device shown in fig. 1C, and when the electroencephalogram component is used, as shown in fig. 1D, the wearable signal collector is connected to the local terminal of the electronic device in a wired or wireless manner (the wireless connection corresponds to the wearable signal collector integrating the communication module to communicate with the local terminal of the electronic device).
Optionally, the wearable signal collector may include at least one of: a brain wave helmet, a brain wave earring, a brain wave hearing aid, brain wave glasses, a brain wave hairpin, a brain wave intracorporeal implant chip, a brain wave patch, a brain wave earphone, and the like.
Further by way of example, as shown in fig. 1E, taking the case of implanting a brain wave body-implanted chip in the user body, the brain wave body-implanted chip is used for connecting a plurality of neuron sensors, each neuron sensor is disposed in each neuron and is used for receiving a brain wave signal from each neuron. In specific work, the neuron sensor collects brain wave signals from neurons, sends the brain wave signals carrying neuron identifications of the neurons to the brain wave in-vivo implanted chip, and sends the brain wave signals to the brain wave component through the brain wave in-vivo implanted chip. As shown in fig. 1F, of course, if the distance between the user and the electronic equipment is greater than the preset distance, the brain wave signal may be amplified by the brain wave signal amplifier, and then the amplified brain wave signal may be transmitted to the brain wave intracorporeal implant chip. The neuron identifier is used for uniquely identifying the neuron, and the neuron identifier may be specifically a number, a position coordinate, a neuron name, or the like.
Therefore, the brain wave signal in the embodiment of the present application may be at least one of: a brain wave signal of the left brain, a brain wave signal of the right brain, a brain wave signal of at least one neuron, a brain wave signal from a certain region of the cerebral cortex, and the like, which are not limited herein.
As another example, as shown in fig. 1G to 1I, the brain wave part 120 may include an electrode array embedded in the scalp to capture electrical signals of neurons, and a signal processing module configured as a needle array, and the signal processing circuit part may include a signal amplifier, a signal filter, a signal separator, an analog-to-digital conversion circuit, an interface circuit, and the like.
The processor 121 includes an application processor and a baseband processor, and is a control center of the electronic device, and is connected to various parts of the electronic device through various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing software programs and/or modules stored in the memory and calling data stored in the memory, thereby performing overall monitoring of the electronic device. The application processor mainly processes an operating system, a user interface, application programs and the like, and the baseband processor mainly processes wireless communication. It will be appreciated that the baseband processor described above may not be integrated into the processor. The electronic device further includes a memory for storing the software program and the module, and the processor executes various functional applications and data processing of the electronic device by operating the software program and the module stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
In one possible example, the identification information includes location information;
in the aspect of performing the network search according to the identification information, the communication module 130 is specifically configured to:
acquiring an indoor map, marking the network access equipment corresponding to the position information on the indoor map according to the position information, and acquiring unique identification information of the network access equipment;
and searching the network according to the unique identification information.
In one possible example, the processor 110 is further specifically configured to:
determining a distance between the electronic device and the location information;
and when the distance is smaller than the preset distance, the communication module executes the step of searching the network according to the unique identification information.
In one possible example, the identification information includes complete or partial unique identification information;
in terms of performing a network search according to the identification information, the communication module 130 is specifically configured to:
and searching the network according to the complete or partial unique identification information.
In one possible example, in the accessing the target network, the method includes:
the brain wave component 120 is further specifically configured to acquire a second brain wave signal;
the processor 110 is further specifically configured to perform a second analysis on the second brain wave signal to obtain identity verification information;
the communication module 130 is further specifically configured to access the target network when the authentication information is verified.
The electronic device described based on fig. 1A above may be used to implement a network connection control method, which includes the following steps:
the brain wave part 120 collects a first brain wave signal, which carries identification information of a network access device;
the processor 110 performs a first analysis on the first brain wave signal to obtain the identification information;
the communication module 130 performs network search according to the identification information to obtain a target network corresponding to the network access device; and accessing the target network.
Referring to fig. 1J, fig. 1J is a flowchart illustrating a network connection control method according to an embodiment of the present application, applied to the electronic device shown in fig. 1A, where the electronic device includes an electroencephalogram component, and as shown in the drawing, the network connection control method includes:
101. and acquiring a first brain wave signal through the brain wave component, wherein the first brain wave signal carries identification information of the network access equipment.
Wherein the identification information may be at least one of: the location (location name, location coordinates, image of the area where the location is located) of the network access device, voice, characters, patterns, odor, and unique identification information of a partial or complete network access device, and the unique identification information may be: service Set Identifier (SSID), bssid (basic service set identification). The first brain wave signal may be a brain wave signal for a certain period of time, or a brain wave signal during meditation identification information, which may be "oppo" as an example of a character, "oppo" as an example of a voice, "a song" as an example of an image, "a certain picture" as an example of a three-dimensional object, "a cup" as an example of an animal, "a dog" as an example of a smell, "a delicious food" as an example of a three-dimensional object, and the like.
Alternatively, the first brain wave signal may be from a user, which is not limited to a human being, but may be an animal (e.g., a monkey) having thinking, or a robot, or the like.
Optionally, before performing the step 101, the following steps may be further included:
when the user focuses on the network access equipment, the step of collecting the first brain wave signals through the brain wave component is executed.
The focusing manner may be that the duration for which the user gazes at the network access device reaches a first preset duration, which may be set by the user or default by the system, or may be that the duration for which the user revives the relevant information (e.g., SSID, BSSID, location, production date, model, color, volume, shape, etc.) of the network access device reaches a second preset duration, which may be set by the user or default by the system.
102. And performing first analysis on the first brain wave signal to obtain the identification information.
Since the electroencephalogram signal carries identification information, the electroencephalogram signal can be analyzed to obtain the identification information.
Alternatively, the step 102 of performing the first analysis on the first electroencephalogram signal to obtain the identification information may include the following steps
21. Preprocessing the first brain wave signal to obtain a first reference brain wave signal;
22. sampling and quantizing the first reference brain wave signal to obtain a first discrete brain wave signal;
23. performing feature extraction on the first discrete brain wave signal to obtain a plurality of target features;
24. and determining a target keyword corresponding to each target feature in the plurality of target features according to a corresponding relation between preset features and keywords, and generating the identification information from the target keywords.
Wherein, the pretreatment may be at least one of the following: signal amplification, filtering (low-pass filtering, high-pass filtering, band-pass filtering, etc.), signal separation (e.g., brain wave signals of a plurality of users, separation of brain wave signals of a specified user, or brain wave signals including a plurality of neurons, separation of brain wave signals of neurons related to emotion), and the like. After the first brain wave signal is preprocessed, the first reference brain wave signal may be sampled and quantized to obtain a first discrete brain wave signal, the sampling and quantizing may reduce data amount and improve analysis efficiency, the first discrete brain wave signal may be subjected to feature extraction to obtain a plurality of target features, and the target features may be at least one of: waveform, period, amplitude, peak, valley, maximum, minimum, and the like. The keyword may be at least one of: the electronic device may pre-store a correspondence between the features and keywords, determine a target keyword corresponding to each of the plurality of target features according to the correspondence, and generate identification information according to the target keyword.
103. And searching the network according to the identification information to obtain a target network corresponding to the network access equipment.
After the identification information of the network access device is obtained, a target network corresponding to the network access device can be searched according to the identification information.
Optionally, the identification information comprises location information; the step 103 of performing a network search according to the identification information may include the following steps:
31. acquiring an indoor map, marking the network access equipment corresponding to the position information on the indoor map according to the position information, and acquiring unique identification information of the network access equipment;
32. and searching the network according to the unique identification information.
The identification information may be location information of the network access device, and further, an indoor map may be obtained, the network access device corresponding to the location information is marked from the indoor map according to the location information, and unique identification information of the network access device may be directly obtained. Or, the electronic device may further pre-store a mapping relationship between the location information and the unique identification information, and further, may obtain the unique identification information through the mapping relationship, so that the user may see the network access device (such as a router) or think about the network access device, and may search the network access device.
Further optionally, between the step 31 and the step 32, the following steps may be further included:
determining a distance between the electronic device and the location information;
and when the distance is smaller than a preset distance, executing the step of searching the network according to the unique identification information.
The preset distance can be set by the user or defaulted by the system. The location information corresponds to a location (i.e., a location of the network access device), and the electronic device is located at another location, so that a distance between the electronic device and the location information can be determined, and when the distance is smaller than a preset distance, network search is performed according to the unique identification information.
Optionally, the identification information includes complete or partial unique identification information; the network search according to the identification information includes:
and searching the network according to the complete or partial unique identification information.
The identification information may be complete or partial unique identification information, for example, the complete SSID is cathay007, the partial SSID is cathay, and network search may be performed according to cathay007 or cathay. Of course, if part of the unique identification information is used for network search, a plurality of networks may be obtained, the plurality of networks may be displayed, and the user selects the network to be searched.
104. And accessing the target network.
The electronic device may obtain the authentication password input by the user and authenticate the authentication password, so as to access the target network, or the electronic device may directly access the target network.
The step 104 of accessing the target network may include the following steps:
41. acquiring a second brain wave signal through the brain wave component;
42. and performing second analysis on the second brain wave signal to obtain identity authentication information, and accessing the target network when the identity authentication information passes authentication.
The identity authentication information may be at least one of the following: the natural frequency of the brain wave, the waveform of the brain wave, the electroencephalogram converted from the brain wave, the specified content analyzed from the brain wave signal, and the like, and the above-mentioned authentication information may also be the content characterized by the brain wave signal, for example, the content may be at least one of the following: user mood, age, gender, wisdom, occupation, species, race (yellow race, white race, black race, mixed race, etc.), etc. Different users correspond to different brain waves, so that the identities of different users can be identified through the difference of the brain waves, for the brain waves, the brain waves of each user can correspond to a natural frequency, the unique identification of the user identity can be realized through the natural frequency, similarly, the waveform of the brain waves or the electroencephalogram converted from the brain waves is also the same, the unique identification of the user identity can also be realized, and the specified content can be as follows: text, characters, patterns, sounds, tastes, objects, actions, and the like. The designated contents analyzed from the brain wave signals may be carried on the brain wave signals when the user meditates the "designated contents", and the electronic device may perform the second analysis on the brain wave signals, from which the "designated contents" may be extracted.
The step 42 is described only with the emotion of the user, and the second analysis is performed on the second electroencephalogram signal to obtain the emotion of the target user, and includes the following steps:
21. preprocessing the second brain wave signal to obtain a second reference brain wave signal;
22. sampling and quantizing the second reference brain wave signal to obtain a second discrete brain wave signal;
23. determining a plurality of extreme points of the second discrete brain wave signal;
24. taking the mean square error of the extreme points as a reference emotion value;
25. and determining the target user emotion corresponding to the reference emotion value according to a mapping relation between a preset emotion value and an emotion type.
Wherein the emotion types may include at least one of the following types: happiness, anger, sadness, happiness, tiredness, melancholia, depression, irritability, fear, worry, etc., to which the present application does not intend to be limited. The pretreatment may be at least one of: signal amplification, filtering (low-pass filtering, high-pass filtering, band-pass filtering, etc.), signal separation (e.g., brain wave signals of a plurality of users, separation of brain wave signals of a specified user, or brain wave signals including a plurality of neurons, separation of brain wave signals of neurons related to emotion), and the like. After the second brain wave signal is preprocessed, the second reference brain wave signal can be sampled and quantized to obtain a second discrete brain wave signal, the sampling and quantization can reduce data volume and improve analysis efficiency, a plurality of extreme points of the second discrete brain wave signal can be extracted, the extreme points can include a maximum value and a minimum value, mean square deviation of the extreme points can be determined, the mean square deviation represents emotion fluctuation of a user to a certain extent, therefore, the mean square deviation is used as a reference emotion value, a mapping relation between the emotion value and the emotion type can be stored in the electronic equipment in advance, and further, target user emotion corresponding to the reference emotion value can be determined according to the mapping relation.
By way of example, how to obtain the reference mood value is explained in detail below.
Assuming that there are the following 5 extreme points A, B, C, D and E, then the average of the 5 extreme points
Can be as follows:
further, the mean square error σ of the extreme point can be obtained.
It should be noted that the mean square error σ obtained as described above may be used as the reference emotion value.
The mapping relationship between emotion value and emotion type is described in detail below in conjunction with table 1. As shown in table 1.
TABLE 1
Wherein σ represents an emotional value, a, b, c, d, e, f, g, h, i, k, l are all constants, and b ≦ c, d ≦ e, f ≦ g, h ≦ i, and j ≦ k. For example, when a is less than or equal to sigma less than or equal to b, the emotion type corresponding to the second brain wave signal of the user at the moment is determined as a favorite.
It can be seen that the network connection control method described in the embodiment of the present application is applied to an electronic device, where the electronic device acquires a first brain wave signal through a brain wave component, the first brain wave signal carries identification information of a network access device, performs first analysis on the first brain wave signal to obtain the identification information, performs network search according to the identification information to obtain a target network corresponding to the network access device, and accesses the target network, so that a network that a user wants to connect to can be analyzed through the brain wave, and the network can be accessed to the target network, thereby improving network connection efficiency.
Referring to fig. 2, fig. 2 is a flowchart illustrating a network connection control method according to an embodiment of the present application, applied to an electronic device shown in fig. 1A, where the electronic device includes a brain wave component, and as shown in the diagram, the network connection control method includes:
201. and acquiring a first brain wave signal through the brain wave component, wherein the first brain wave signal carries identification information of the network access equipment.
202. And performing first analysis on the first brain wave signal to obtain the identification information.
203. And searching the network according to the identification information to obtain a target network corresponding to the network access equipment.
204. And acquiring a second brain wave signal through the brain wave part.
The second electroencephalogram signal may be an electroencephalogram signal for a certain period of time, or an electroencephalogram signal when the contents are specified for meditation, and the specified contents may be at least one of the following: characters, patterns, sounds, smells, three-dimensional objects, and the like. For example, the character may be "popo", the voice may be "a song", the image may be "a picture", the stereoscopic object may be "a cup", the animal may be "a dog", the smell may be "a delicacy", and the like.
205. Performing second analysis on the second brain wave signal to obtain identity verification information;
the identity authentication information may be at least one of the following: the natural frequency of the brain wave, the waveform of the brain wave, the electroencephalogram converted from the brain wave, the specified content analyzed from the brain wave signal, and the like, and the above-mentioned authentication information may also be the content characterized by the brain wave signal, for example, the content may be at least one of the following: user mood, age, gender, wisdom, occupation, species, race (yellow race, white race, black race, mixed race, etc.), etc. Different users correspond to different brain waves, so that the identities of different users can be identified through the difference of the brain waves, for the brain waves, the brain waves of each user can correspond to a natural frequency, the unique identification of the user identity can be realized through the natural frequency, similarly, the waveform of the brain waves or the electroencephalogram converted from the brain waves is also the same, the unique identification of the user identity can also be realized, and the specified content can be as follows: text, characters, patterns, sounds, tastes, objects, actions, and the like. The designated contents analyzed from the brain wave signals may be carried on the brain wave signals when the user meditates the "designated contents", and the electronic device may perform the second analysis on the brain wave signals, from which the "designated contents" may be extracted.
206. And accessing the target network when the authentication information passes the authentication.
The identity authentication information can be matched with preset identity authentication information corresponding to the first brain wave signal, when the matching is successful, the target network is accessed, and when the matching is failed, the user is prompted to perform identity authentication again.
The network connection control method described in the embodiment of the application is applied to electronic equipment, the electronic equipment acquires a first brain wave signal through a brain wave component, the first brain wave signal carries identification information of network access equipment, the first brain wave signal is subjected to first analysis to obtain the identification information, network search is performed according to the identification information to obtain a target network corresponding to the network access equipment, a second brain wave signal is acquired through the brain wave component, second analysis is performed on the second brain wave signal to obtain identity verification information, and when the identity verification information passes verification, the target network is accessed, so that a network which a user wants to connect to is analyzed through the brain waves and is accessed to the network, and the network connection efficiency is improved.
Consistent with the embodiments shown in fig. 1J and fig. 2, please refer to fig. 3, and fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where as shown, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the following steps:
acquiring a first brain wave signal through the brain wave component, wherein the first brain wave signal carries identification information of network access equipment;
performing first analysis on the first brain wave signal to obtain the identification information;
network searching is carried out according to the identification information to obtain a target network corresponding to the network access equipment;
and accessing the target network.
It can be seen that, in the electronic device described in this embodiment of the application, the first brain wave signal may be acquired by the brain wave component, the first brain wave signal carries identification information of the network access device, the first brain wave signal is subjected to first analysis to obtain the identification information, network search is performed according to the identification information to obtain a target network corresponding to the network access device, and the target network is accessed, so that a network to which a user wants to connect may be analyzed by the brain wave and accessed to the network, thereby improving network connection efficiency.
In one possible example, the identification information includes location information;
in the aspect of performing network search according to the identification information, the instructions in the program are specifically configured to perform the following operations:
acquiring an indoor map, marking the network access equipment corresponding to the position information on the indoor map according to the position information, and acquiring unique identification information of the network access equipment;
and searching the network according to the unique identification information.
In one possible example, the instructions in the program are further specifically for performing the following:
determining a distance between the electronic device and the location information;
and when the distance is smaller than a preset distance, executing the step of searching the network according to the unique identification information.
In one possible example, the identification information includes complete or partial unique identification information;
in the aspect of performing network search according to the identification information, the instructions in the program are specifically configured to perform the following operations:
and searching the network according to the complete or partial unique identification information.
In one possible example, the instructions in the program are specifically configured to, in connection with the accessing the target network:
acquiring a second brain wave signal through the brain wave component;
performing second analysis on the second brain wave signal to obtain identity verification information;
and accessing the target network when the authentication information passes the authentication.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 4 is a block diagram showing functional units of a network connection control apparatus 400 according to an embodiment of the present application. The network connection control apparatus 400 is applied to an electronic device including a brain wave part, and the network connection control apparatus 400 includes an acquisition unit 401, a parsing unit 402, a search unit 403, and an access unit 404, wherein,
an obtaining unit 401, configured to collect a first brain wave signal through the brain wave component, where the first brain wave signal carries identification information of a network access device;
an analysis unit 402, configured to perform first analysis on the first brain wave signal to obtain the identification information;
a searching unit 403, configured to perform network search according to the identification information to obtain a target network corresponding to the network access device;
an accessing unit 404, configured to access the target network.
It can be seen that, the network connection control device described in this embodiment of the application is applied to electronic equipment, and acquires a first brain wave signal through a brain wave component, where the first brain wave signal carries identification information of network access equipment, performs first analysis on the first brain wave signal to obtain the identification information, performs network search according to the identification information to obtain a target network corresponding to the network access equipment, and accesses the target network, so that a network that a user wants to connect to can be analyzed through the brain wave, and the network connection efficiency is improved.
In one possible example, the identification information includes location information;
in the aspect of performing the network search according to the identification information, the search unit 403 is specifically configured to:
acquiring an indoor map, marking the network access equipment corresponding to the position information on the indoor map according to the position information, and acquiring unique identification information of the network access equipment;
and searching the network according to the unique identification information.
In one possible example, the search unit 403 is further specifically configured to:
determining a distance between the electronic device and the location information;
and when the distance is smaller than a preset distance, executing the step of searching the network according to the unique identification information.
In one possible example, the identification information includes complete or partial unique identification information;
in the aspect of performing the network search according to the identification information, the search unit 403 is specifically configured to:
and searching the network according to the complete or partial unique identification information.
In one possible example, in terms of the accessing the target network, the accessing unit 404 is specifically configured to:
acquiring a second brain wave signal through the brain wave component;
performing second analysis on the second brain wave signal to obtain identity verification information;
and accessing the target network when the authentication information passes the authentication.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (13)
1. An electronic device, characterized in that the electronic device comprises a processor, and a brain wave component and a communication module connected with the processor, wherein:
the electroencephalogram component is used for collecting a first electroencephalogram signal and a second electroencephalogram signal when a user pays attention to a network access device, wherein the first electroencephalogram signal carries identification information of the network access device, the attention mode comprises that the time length for the user to watch the network access device reaches a first preset time length, or the time length for the user to meditate the relevant information of the network access device reaches a second preset time length, and the first preset time length and the second preset time length are preset;
the processor is configured to perform first analysis on the first brain wave signal to obtain the identification information, perform preprocessing on the second brain wave signal to obtain a second reference brain wave signal, perform sampling and quantization processing on the second reference brain wave signal to obtain a second discrete brain wave signal, determine a plurality of extreme points of the second discrete brain wave signal, and use a mean-square error of the plurality of extreme points as a reference emotion value, where the mean-square error is used to represent emotion fluctuation of a user, determine a target user emotion corresponding to the reference emotion value according to a mapping relationship between a preset emotion value and an emotion type, and the target user emotion is used to determine user identity information;
the communication module is used for carrying out network search according to the identification information to obtain a target network corresponding to the network access equipment; and accessing the target network according to the user identity information when the identity authentication information passes the authentication.
2. The electronic device of claim 1, wherein the identification information comprises location information;
in the aspect of performing the network search according to the identification information, the communication module is specifically configured to:
acquiring an indoor map, marking the network access equipment corresponding to the position information on the indoor map according to the position information, and acquiring unique identification information of the network access equipment;
and searching the network according to the unique identification information.
3. The electronic device of claim 2, wherein the processor is further specifically configured to:
determining a distance between the electronic device and the location information;
and when the distance is smaller than the preset distance, the communication module executes the step of searching the network according to the unique identification information.
4. The electronic device of claim 1, wherein the identification information comprises complete or partial unique identification information;
in the aspect of performing the network search according to the identification information, the communication module is specifically configured to:
and searching the network according to the complete or partial unique identification information.
5. The electronic device according to any of claims 1 to 4, comprising, in connection with said accessing said target network:
the processor is further specifically configured to perform second analysis on the second brain wave signal to obtain identity verification information;
the communication module is further specifically configured to access the target network when the authentication information is verified.
6. A network connection control method applied to an electronic apparatus including a brain wave section, the method comprising:
when a user pays attention to network access equipment, acquiring a first brain wave signal and a second brain wave signal through the brain wave part, wherein the first brain wave signal carries identification information of the network access equipment, the attention mode comprises that the time length for the user to watch the network access equipment reaches a first preset time length, or the time length for the user to meditate the relevant information of the network access equipment reaches a second preset time length, and the first preset time length and the second preset time length are preset;
performing first analysis on the first brain wave signal to obtain the identification information, preprocessing the second brain wave signal to obtain a second reference brain wave signal, sampling and quantizing the second reference brain wave signal to obtain a second discrete brain wave signal, determining a plurality of extreme points of the second discrete brain wave signal, and taking the mean square error of the extreme points as a reference emotion value, wherein the mean square error is used for representing the emotion fluctuation of a user, and determining the target user emotion corresponding to the reference emotion value according to the mapping relation between a preset emotion value and an emotion type, and the target user emotion is used for determining user identity information;
network searching is carried out according to the identification information to obtain a target network corresponding to the network access equipment;
and accessing the target network according to the user identity information when the identity authentication information passes the authentication.
7. The method of claim 6, wherein the identification information comprises location information;
the network search according to the identification information includes:
acquiring an indoor map, marking the network access equipment corresponding to the position information on the indoor map according to the position information, and acquiring unique identification information of the network access equipment;
and searching the network according to the unique identification information.
8. The method of claim 7, further comprising:
determining a distance between the electronic device and the location information;
and when the distance is smaller than a preset distance, executing the step of searching the network according to the unique identification information.
9. The method of claim 6, wherein the identification information comprises complete or partial unique identification information;
the network search according to the identification information includes:
and searching the network according to the complete or partial unique identification information.
10. The method of any of claims 6 to 9, wherein the accessing the target network comprises:
performing second analysis on the second brain wave signal to obtain identity verification information;
and accessing the target network when the authentication information passes the authentication.
11. A network connection control apparatus applied to an electronic device including a brain wave part, wherein the apparatus comprises:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a first brain wave signal and a second brain wave signal through a brain wave part when a user pays attention to network access equipment, the first brain wave signal carries identification information of the network access equipment, the attention mode comprises that the time length for the user to watch the network access equipment reaches a first preset time length, or the time length for the user to meditation the relevant information of the network access equipment reaches a second preset time length, and the first preset time length and the second preset time length are preset;
the analysis unit is used for performing first analysis on the first brain wave signal to obtain the identification information, preprocessing the second brain wave signal to obtain a second reference brain wave signal, sampling and quantizing the second reference brain wave signal to obtain a second discrete brain wave signal, determining a plurality of extreme points of the second discrete brain wave signal, and taking the mean-square deviation of the extreme points as a reference emotion value, wherein the mean-square deviation is used for representing the emotion fluctuation of a user, and determining the emotion of a target user corresponding to the reference emotion value according to the mapping relation between a preset emotion value and an emotion type, and the emotion of the target user is used for determining the identity information of the user;
the searching unit is used for searching the network according to the identification information to obtain a target network corresponding to the network access equipment;
and the access unit is used for accessing the target network according to the user identity information when the identity authentication information passes the authentication.
12. An electronic device comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps of the method of any of claims 6-10.
13. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of the claims 6-10.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105163180A (en) * | 2015-08-21 | 2015-12-16 | 小米科技有限责任公司 | Play control method, play control device and terminal |
| WO2015196995A1 (en) * | 2014-06-27 | 2015-12-30 | 北京安兔兔科技有限公司 | Household device control method and system, control device, and terminal device |
| CN106094545A (en) * | 2016-07-01 | 2016-11-09 | 上海卓易云汇智能技术有限公司 | Intelligent domestic system that a kind of automatic broadcasting is audio-visual and control method thereof |
| CN106973425A (en) * | 2017-04-06 | 2017-07-21 | 上海掌门科技有限公司 | A kind of method and apparatus for connecting WAP |
| CN107105517A (en) * | 2017-04-20 | 2017-08-29 | 北京小米移动软件有限公司 | Method for connecting network and device |
| CN107145239A (en) * | 2017-06-29 | 2017-09-08 | 上海传英信息技术有限公司 | A kind of intelligence system and its control method that sensor is read based on brain |
-
2018
- 2018-03-13 CN CN201810204852.0A patent/CN108494955B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015196995A1 (en) * | 2014-06-27 | 2015-12-30 | 北京安兔兔科技有限公司 | Household device control method and system, control device, and terminal device |
| CN105163180A (en) * | 2015-08-21 | 2015-12-16 | 小米科技有限责任公司 | Play control method, play control device and terminal |
| CN106094545A (en) * | 2016-07-01 | 2016-11-09 | 上海卓易云汇智能技术有限公司 | Intelligent domestic system that a kind of automatic broadcasting is audio-visual and control method thereof |
| CN106973425A (en) * | 2017-04-06 | 2017-07-21 | 上海掌门科技有限公司 | A kind of method and apparatus for connecting WAP |
| CN107105517A (en) * | 2017-04-20 | 2017-08-29 | 北京小米移动软件有限公司 | Method for connecting network and device |
| CN107145239A (en) * | 2017-06-29 | 2017-09-08 | 上海传英信息技术有限公司 | A kind of intelligence system and its control method that sensor is read based on brain |
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