CN108449757B - Network connection control method and related product - Google Patents
Network connection control method and related product Download PDFInfo
- Publication number
- CN108449757B CN108449757B CN201810205998.7A CN201810205998A CN108449757B CN 108449757 B CN108449757 B CN 108449757B CN 201810205998 A CN201810205998 A CN 201810205998A CN 108449757 B CN108449757 B CN 108449757B
- Authority
- CN
- China
- Prior art keywords
- network
- brain wave
- wave signal
- preset password
- preset
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 50
- 210000004556 brain Anatomy 0.000 claims abstract description 204
- 238000004891 communication Methods 0.000 claims abstract description 23
- 230000015654 memory Effects 0.000 claims description 20
- 210000002569 neuron Anatomy 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 14
- 238000000926 separation method Methods 0.000 claims description 9
- 238000007781 pre-processing Methods 0.000 claims description 8
- 238000013507 mapping Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 5
- 230000008451 emotion Effects 0.000 claims description 4
- 238000000605 extraction Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 15
- 230000006870 function Effects 0.000 description 12
- 238000001914 filtration Methods 0.000 description 5
- 241001465754 Metazoa Species 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000003321 amplification Effects 0.000 description 2
- 210000003710 cerebral cortex Anatomy 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 239000007943 implant Substances 0.000 description 2
- 238000001727 in vivo Methods 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 241000282693 Cercopithecidae Species 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 210000004761 scalp Anatomy 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000003826 tablet Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/06—Authentication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/08—Access security
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W48/00—Access restriction; Network selection; Access point selection
- H04W48/16—Discovering, processing access restriction or access information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
- H04W76/11—Allocation or use of connection identifiers
Landscapes
- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
- User Interface Of Digital Computer (AREA)
Abstract
The embodiment of the 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 of a user through the brain wave component, wherein the first brain wave signal carries a preset password; analyzing the first brain wave signal to obtain the preset password; network searching is carried out according to the preset password, and at least one first network matched with the preset password is obtained; and selecting one first network from the at least one first network for network connection. By adopting the embodiment of the application, the intelligence and the operation convenience of the electronic equipment can be 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 the mobile phone is connected to a wireless fidelity (Wi-Fi), a user is often required to input a password, so that the intelligence of the mobile phone is reduced, and the operation is not convenient enough.
Disclosure of Invention
The embodiment of the application provides a network connection control method and a related product, which can improve the intelligence and the operation convenience of electronic equipment.
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 collecting a first brain wave signal of a user, and the first brain wave signal carries a preset password;
the processor is used for analyzing the first brain wave signal to obtain the preset password;
the communication module is used for carrying out network search according to the preset password to obtain at least one first network matched with the preset password; and selecting one first network from the at least one first network for network connection.
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:
collecting a first brain wave signal of a user, wherein the first brain wave signal carries a preset password;
analyzing the first brain wave signal to obtain the preset password;
network searching is carried out according to the preset password, and at least one first network matched with the preset password is obtained;
and selecting one first network from the at least one first network for network connection.
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 of a user, and the first brain wave signal carries a preset password;
the analysis unit is used for analyzing the first brain wave signal to obtain the preset password;
the searching unit is used for searching a network according to the preset password to obtain at least one first network matched with the preset password;
and the connection unit is used for selecting one first network from the at least one first network for network connection.
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, in the network connection control method and the related product described in the embodiments of the present application, the first brain wave signal of the user is collected, the first brain wave signal carries a preset password, the first brain wave signal is analyzed to obtain the preset password, network search is performed according to the preset password to obtain at least one first network matched with the preset password, and one first network is selected from the at least one first network for network connection, so that the brain wave signal can carry the password, network search is performed according to the password to obtain a network matched with the password, and thus, a network matched with the password is selected for network connection, so that network connection can be achieved without inputting the password by the user, and the intelligence and the convenience in operation of the electronic device are improved.
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. In an embodiment of the present application, a network (e.g., a first network, a second network, a third network, etc.) 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 invention, where the electronic device 100 includes: the processor 110, the brain wave component 120, the communication module 130 (such as a Wi-Fi module), the display screen 140 and the camera 150, the brain wave component 120, the communication module 130, the display screen 140 and the camera 150 are all electrically connected to the processor 110, wherein:
the brain wave component 120 is configured to collect a first brain wave signal of a user, where the first brain wave signal carries a preset password;
the processor 110 is configured to analyze the first brain wave signal to obtain the preset password;
the communication module 130 is configured to perform network search according to the preset password to obtain at least one first network matched with the preset password; and selecting one first network from the at least one first network for network connection.
It can be seen that, the electronic device described in this embodiment of the application may collect a first brain wave signal of a user, where the first brain wave signal carries a preset password, analyze the first brain wave signal to obtain the preset password, perform network search according to the preset password to obtain at least one first network matching the preset password, and select one first network from the at least one first network for network connection, so that the brain wave signal may carry the password, and perform network search according to the password to obtain a network matching the password, thereby selecting one network matching the password for network connection, so that network connection may be achieved without inputting the password by the user, and intelligence and convenience in operation of the electronic device are 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 first brain wave signal also carries incomplete unique identification information of a network to be connected;
in the analyzing the first brain wave signal to obtain the preset password, the processor 110 is specifically configured to:
analyzing the first brain wave signal to obtain the preset password and the incomplete unique identification information;
in the aspect that the network search is performed according to the preset password to obtain at least one first network matched with the preset password, the communication module 130 is specifically configured to:
network searching is carried out according to the incomplete unique identification information to obtain a plurality of second networks;
and matching the preset passwords with the passwords of the plurality of second networks to obtain the at least one first network.
In a possible example, in terms of performing a network search according to the preset password to obtain at least one first network matching the preset password, the communication module 130 is specifically configured to:
network searching is carried out to obtain a plurality of third networks, and each network corresponds to one signal intensity;
screening out a third network with the signal intensity larger than a preset signal intensity threshold value from the plurality of third networks to obtain a plurality of third target networks;
and matching the preset passwords with the passwords of the plurality of third networks to obtain the at least one first network.
In one possible example, the electronic device further includes a display screen 140;
the display screen 140 is configured to display a network list on the display screen of the electronic device, where the network list includes network information of the at least one first network;
the brain wave component 120 is configured to acquire a second brain wave signal;
the processor 110 is configured to analyze the second brain wave signal to obtain a target keyword;
in the aspect of selecting one first network from the at least one first network for network connection, the communication module 130 is configured to select a target first network corresponding to the network information including the target keyword from the network list and connect the target first network.
In one possible example, the electronic device further includes a camera 150;
the camera 150 is configured to determine that a gaze of a user gazes at a target area of the electronic device, and when a duration that the gaze of the user gazes at the target area is longer than a preset duration, the brain wave component 120 performs the step of acquiring the second brain wave signal.
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 component 120 collects a first brain wave signal of a user, wherein the first brain wave signal carries a preset password;
the processor 110 analyzes the first brain wave signal to obtain the preset password;
the communication module 130 performs network search according to the preset password to obtain at least one first network matched with the preset password; and selecting one first network from the at least one first network for network connection.
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. the method comprises the steps of collecting a first brain wave signal of a user, wherein the first brain wave signal carries a preset password.
The preset password may be contents of the user meditation, the first electroencephalogram signal may be an electroencephalogram signal when the user meditates the preset password for a period of time, and the preset password may be at least one of the following: characters, voice, images, three-dimensional objects, animals, smell and the like, wherein the characters can be "popo", the voice can be "a song", the images can be "a picture", the three-dimensional objects can be "a cup", the animals can be "a dog", the smell can be "a delicious food" and the like.
Alternatively, the user is not limited to a human being, but may be an animal (e.g., a monkey) having thinking, or a robot, or the like.
102. And analyzing the first brain wave signal to obtain the preset password.
The first brain wave signal carries a preset password, so that the first brain wave signal can be analyzed to obtain the preset password.
Optionally, in the step 102, analyzing the first electroencephalogram signal to obtain the preset password, the method may include:
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 feature values;
24. and obtaining target keywords corresponding to the plurality of characteristic values according to a mapping relation between preset characteristic values and keywords, and forming the preset password by the target keywords.
Wherein, the keyword may be at least one of the following: characters, waveforms, patterns, objects, etc., the preprocessing 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 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 feature-extracted to obtain a plurality of feature values, and the feature values may be at least one of: magnitude, extremum, period, etc. The mapping relation between the characteristic values and the keywords can be prestored in the electronic equipment, and then the target keywords corresponding to the plurality of characteristic values can be determined according to the mapping relation.
103. And performing network search according to the preset password to obtain at least one first network matched with the preset password.
For example, when the Wi-Fi is turned on, network search may be performed to obtain a plurality of networks, each network may correspond to one access point, each access point may be used by a user to input a password, and if the password passes verification, Wi-Fi connection may be performed. Of course, during the network searching process, a network list (e.g., a Wi-Fi list) may be obtained, and network information of different access points may be shown in the network list, where the network information may include at least one of the following: service Set Identifier (SSID), bssid (basic service set identification), network standards (2G, 3G, 4G, 5G, etc.), network operator, and so on.
Optionally, the first brain wave signal further carries incomplete unique identification information of a network to be connected; in the step 102, the first electroencephalogram signal is analyzed to obtain the preset password, which may be implemented as follows:
analyzing the first brain wave signal to obtain the preset password and the incomplete unique identification information;
in step 103, performing network search according to the preset password to obtain at least one first network matched with the preset password, may include the following steps:
a1, performing network search according to the incomplete unique identification information to obtain a plurality of second networks;
and A2, matching the preset passwords with the passwords of the plurality of second networks to obtain the at least one first network.
The incomplete unique identification information may be a partial character of the SSID (for example, the SSID is cathay999, and the part of the SSID may be "999" or "cathay") or a partial character of the BSSID. And performing network search according to the incomplete unique identification information to obtain a plurality of second networks, displaying the plurality of second networks in a network list, and matching the preset password with the passwords of the plurality of second networks to obtain at least one first network.
Optionally, in the step 103, performing network search according to the preset password to obtain at least one first network matched with the preset password, which may include the following steps:
b1, network searching is carried out to obtain a plurality of third networks, and each network corresponds to a signal intensity;
b2, screening out a third network with the signal intensity larger than a preset signal intensity threshold value from the plurality of third networks to obtain a plurality of third target networks;
and B3, matching the preset passwords with the passwords of the plurality of third networks to obtain the at least one first network.
The preset signal strength threshold value may be set by the user or default by the system. Electronic equipment can carry out network search, obtain a plurality of third networks, each third network can correspond a signal strength, so, can obtain a plurality of signal strength, and then, select the third network that signal strength is greater than predetermineeing the signal strength threshold value from a plurality of signal strength, obtain a plurality of third networks, after all, signal strength is too weak, the network of connection has reduced user experience to a certain extent, consequently, can select the network that signal strength is strong, can show a plurality of third networks in the network list, and will predetermine the password and match the password of a plurality of third networks, obtain at least one first network.
104. And selecting one first network from the at least one first network for network connection.
The electronic device may select a first network with the strongest signal strength from the at least one first network, or may select a first network with the best stability from the at least one first network, or may select a first network with the shortest distance between the router and the electronic device from the at least one first network, or may randomly select a network from the at least one first network, and perform network connection on the selected first network.
Optionally, in the step 104, selecting one first network from the at least one first network for network connection may include the following steps:
41. displaying a network list on a display screen of the electronic equipment, wherein the network list comprises network information of the at least one first network;
42. acquiring a second brain wave signal;
43. analyzing the second brain wave signal to obtain a target keyword;
44. and selecting a target first network corresponding to the network information containing the target keyword from the network list, and connecting the target first network.
The network list can be displayed on a display screen of the electronic device, and the network list can include network information of at least one first network, where the network information may be at least one of the following: SSID, BSSID, network type (2G, 3G, 4G, 5G, etc.), network operator, etc.
In addition, the specific implementation of step 43 may refer to the specific implementation of step 102, which is not described herein again. Further, a target first network corresponding to the network information including the target keyword may be selected from the network list and connected to the target first network.
Optionally, the following steps may be further included between step 41 and step 42:
and determining that the target area of the network list is watched by the sight of the user, and executing the step of acquiring the second brain wave signal when the time length that the target area is watched by the sight of the user is longer than the preset time length.
The preset duration can be set by the user or defaulted by the system. When a certain network is connected, a user can watch a certain area in the network list with eyes, the certain area comprises the network which the user wants to connect, and then when the time length for watching a target area by the sight of the user is longer than the preset time length, a second brain wave signal can be acquired.
It can be seen that, in the network connection control method described in this embodiment of the application, the first brain wave signal of the user is collected, the first brain wave signal carries the preset password, the first brain wave signal is analyzed to obtain the preset password, network search is performed according to the preset password to obtain at least one first network matched with the preset password, and one first network is selected from the at least one first network for network connection, so that the brain wave signal can be used to carry the password, network search is performed according to the password to obtain a network matched with the password, and thus, a network matched with the password is selected for network connection, so that network connection can be achieved without inputting the password by the user, and the intelligence and the convenience in operation of the electronic device are improved.
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. the method comprises the steps of collecting a first brain wave signal of a user through the brain wave component, wherein the first brain wave signal carries a preset password and incomplete unique identification information of a network to be connected.
202. And analyzing the first brain wave signal to obtain the preset password and the incomplete unique identification information.
203. And carrying out network search according to the incomplete unique identification information to obtain a plurality of second networks.
204. And matching the preset passwords with the passwords of the plurality of second networks to obtain the at least one first network.
205. And selecting one first network from the at least one first network for network connection.
The specific description of the step 201-205 may refer to the corresponding steps in the network connection control method described in fig. 1, and will not be described herein again.
For example, when the SSID of the access point to which the user wants to connect is unclear but only remembers the password, the network connection can be performed in the manner provided by the application, so that the quick network connection can be realized without the user needing to manually input the password.
It can be seen that, in the network connection control method described in this embodiment of the application, the first brain wave signal of the user is acquired by the brain wave component, the first brain wave signal carries the preset password and the incomplete unique identification information of the network to be connected, the first brain wave signal is analyzed to obtain the preset password and the incomplete unique identification information, network search is performed according to the incomplete unique identification information to obtain a plurality of second networks, the preset password is matched with the passwords of the plurality of second networks to obtain at least one first network, and one first network is selected from the at least one first network for network connection.
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 of a user through the brain wave component, wherein the first brain wave signal carries a preset password;
analyzing the first brain wave signal to obtain the preset password;
network searching is carried out according to the preset password, and at least one first network matched with the preset password is obtained;
and selecting one first network from the at least one first network for network connection.
It can be seen that, in the electronic device described in this embodiment of the present application, a first brain wave signal of a user is collected, the first brain wave signal carries a preset password, the first brain wave signal is analyzed to obtain the preset password, network search is performed according to the preset password to obtain at least one first network matched with the preset password, and one first network is selected from the at least one first network for network connection, so that the brain wave signal can be used to carry the password, network search is performed according to the password to obtain a network matched with the password, and thus, a network matched with the password is selected for network connection, so that network connection can be achieved without inputting the password by the user, and intelligence and convenience in operation of the electronic device are improved.
In one possible example, the first brain wave signal also carries incomplete unique identification information of a network to be connected;
in the aspect of analyzing the first brain wave signal to obtain the preset password, the instructions in the program are specifically configured to perform the following operations:
analyzing the first brain wave signal to obtain the preset password and the incomplete unique identification information;
in the aspect of performing network search according to the preset password to obtain at least one first network matched with the preset password, the instruction in the program is specifically configured to perform the following operations:
network searching is carried out according to the incomplete unique identification information to obtain a plurality of second networks;
and matching the preset passwords with the passwords of the plurality of second networks to obtain the at least one first network.
In a possible example, the network search is performed according to the preset password to obtain at least one first network matched with the preset password, and the instructions in the program are specifically configured to perform the following operations:
network searching is carried out to obtain a plurality of third networks, and each network corresponds to one signal intensity;
screening out a third network with the signal intensity larger than a preset signal intensity threshold value from the plurality of third networks to obtain a plurality of third target networks;
and matching the preset passwords with the passwords of the plurality of third networks to obtain the at least one first network.
In one possible example, in terms of the selecting one of the at least one first network for network connection, the instructions in the program are specifically configured to:
displaying a network list on a display screen of the electronic equipment, wherein the network list comprises network information of the at least one first network;
acquiring a second brain wave signal;
analyzing the second brain wave signal to obtain a target keyword;
and selecting a target first network corresponding to the network information containing the target keyword from the network list, and connecting the target first network.
In one possible example, the instructions in the program are further specifically for performing the following:
and determining that the target area of the network list is watched by the sight of the user, and executing the step of acquiring the second brain wave signal when the time length that the target area is watched by the sight of the user is longer than the preset time length.
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 a collecting unit 401, a parsing unit 402, a searching unit 403, and a connecting unit 404, wherein,
the acquisition unit 401 is configured to acquire a first brain wave signal of a user, where the first brain wave signal carries a preset password;
an analyzing unit 402, configured to analyze the first brain wave signal to obtain the preset password;
a searching unit 403, configured to perform network search according to the preset password to obtain at least one first network matched with the preset password;
a connection unit 404, configured to select a first network from the at least one first network for network connection.
It can be seen that, the network connection control device described in this embodiment of the application is applied to an electronic device, and may collect a first brain wave signal of a user, where the first brain wave signal carries a preset password, analyze the first brain wave signal to obtain the preset password, perform network search according to the preset password to obtain at least one first network matched with the preset password, and select one first network from the at least one first network to perform network connection.
In one possible example, the first brain wave signal also carries incomplete unique identification information of a network to be connected;
in the analyzing the first brain wave signal to obtain the preset password, the analyzing unit 402 is specifically configured to:
analyzing the first brain wave signal to obtain the preset password and the incomplete unique identification information;
the network searching is performed according to the preset password to obtain at least one first network matched with the preset password, and the method comprises the following steps:
network searching is carried out according to the incomplete unique identification information to obtain a plurality of second networks;
and matching the preset passwords with the passwords of the plurality of second networks to obtain the at least one first network.
In a possible example, in terms of performing a network search according to the preset password to obtain at least one first network matching the preset password, the searching unit 403 is specifically configured to:
network searching is carried out to obtain a plurality of third networks, and each network corresponds to one signal intensity;
screening out a third network with the signal intensity larger than a preset signal intensity threshold value from the plurality of third networks to obtain a plurality of third target networks;
and matching the preset passwords with the passwords of the plurality of third networks to obtain the at least one first network.
In a possible example, the selecting one first network from the at least one first network for network connection, where the connecting unit 404 is specifically configured to:
displaying a network list on a display screen of the electronic equipment, wherein the network list comprises network information of the at least one first network;
acquiring a second brain wave signal;
analyzing the second brain wave signal to obtain a target keyword;
and selecting a target first network corresponding to the network information containing the target keyword from the network list, and connecting the target first network.
In one possible example, the apparatus shown in fig. 4 may further include a determining unit (not shown in the figure), which is as follows:
the determining unit is configured to determine that a user gazes at a target area of the network list, and when a duration that the user gazes at the target area is longer than a preset duration, the acquiring unit 401 executes the step of acquiring the second brain wave signal.
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 brain wave component is used for collecting a first brain wave signal of a user, the first brain wave signal carries a preset password, and the preset password is contents of meditation of the user;
the processor is used for analyzing the first brain wave signal to obtain the preset password;
the communication module is used for carrying out network search according to the preset password to obtain at least one first network matched with the preset password; and selecting a first network from the at least one first network for network connection;
in the analyzing the first brain wave signal to obtain the preset password, the processor is specifically configured to:
preprocessing the first brain wave signal to obtain a first reference brain wave signal, wherein the preprocessing at least comprises signal separation, and the signal separation is used for separating out the brain wave signal of a neuron related to emotion;
sampling and quantizing the first reference brain wave signal to obtain a first discrete brain wave signal;
performing feature extraction on the first discrete brain wave signal to obtain a plurality of feature values;
and obtaining target keywords corresponding to the plurality of characteristic values according to a mapping relation between preset characteristic values and keywords, and forming the preset password by the target keywords.
2. The electronic device according to claim 1, characterized in that the first brain wave signal also carries incomplete unique identification information of a network to be connected;
in the aspect of analyzing the first brain wave signal to obtain the preset password, the processor is specifically configured to:
analyzing the first brain wave signal to obtain the preset password and the incomplete unique identification information;
in the aspect that the network search is performed according to the preset password to obtain at least one first network matched with the preset password, the communication module is specifically configured to:
network searching is carried out according to the incomplete unique identification information to obtain a plurality of second networks;
and matching the preset passwords with the passwords of the plurality of second networks to obtain the at least one first network.
3. The electronic device according to claim 1, wherein, in the aspect that the network search is performed according to the preset password to obtain at least one first network matching the preset password, the communication module is specifically configured to:
network searching is carried out to obtain a plurality of third networks, and each network corresponds to one signal intensity;
screening out a third network with the signal intensity larger than a preset signal intensity threshold value from the plurality of third networks to obtain a plurality of third target networks;
and matching the preset passwords with the passwords of the plurality of third networks to obtain the at least one first network.
4. The electronic device of any of claims 1-3, further comprising a display screen;
the display screen is used for displaying a network list on the display screen of the electronic equipment, and the network list comprises network information of the at least one first network;
the brain wave component is used for acquiring a second brain wave signal;
the processor is used for analyzing the second brain wave signal to obtain a target keyword;
in the aspect of selecting one first network from the at least one first network for network connection, the communication module is configured to select a target first network corresponding to the network information including the target keyword from the network list and connect the target first network.
5. The electronic device of claim 4, further comprising a camera;
the camera is used for determining that a user gazes at a target area of the electronic equipment, and the step of acquiring a second brain wave signal is executed by the brain wave component when the duration that the user gazes at the target area is longer than a preset duration.
6. A network connection control method applied to an electronic apparatus including a brain wave section, the method comprising:
collecting a first brain wave signal of a user through the brain wave part, wherein the first brain wave signal carries a preset password, and the preset password is contents of meditation of the user;
analyzing the first brain wave signal to obtain the preset password;
network searching is carried out according to the preset password, and at least one first network matched with the preset password is obtained;
selecting a first network from the at least one first network for network connection;
wherein, the analyzing the first brain wave signal to obtain the preset password comprises:
preprocessing the first brain wave signal to obtain a first reference brain wave signal, wherein the preprocessing at least comprises signal separation, and the signal separation is used for separating out the brain wave signal of a neuron related to emotion;
sampling and quantizing the first reference brain wave signal to obtain a first discrete brain wave signal;
performing feature extraction on the first discrete brain wave signal to obtain a plurality of feature values;
and obtaining target keywords corresponding to the plurality of characteristic values according to a mapping relation between preset characteristic values and keywords, and forming the preset password by the target keywords.
7. The method according to claim 6, characterized in that the first brain wave signal also carries incomplete unique identification information of the network to be connected;
the analyzing the first brain wave signal to obtain the preset password comprises:
analyzing the first brain wave signal to obtain the preset password and the incomplete unique identification information;
the network searching is performed according to the preset password to obtain at least one first network matched with the preset password, and the method comprises the following steps:
network searching is carried out according to the incomplete unique identification information to obtain a plurality of second networks;
and matching the preset passwords with the passwords of the plurality of second networks to obtain the at least one first network.
8. The method according to claim 6, wherein the performing a network search according to the preset password to obtain at least one first network matching the preset password comprises:
network searching is carried out to obtain a plurality of third networks, and each network corresponds to one signal intensity;
screening out a third network with the signal intensity larger than a preset signal intensity threshold value from the plurality of third networks to obtain a plurality of third target networks;
and matching the preset passwords with the passwords of the plurality of third networks to obtain the at least one first network.
9. The method according to any of claims 6-8, wherein said selecting one of said at least one first network for network connection comprises:
displaying a network list on a display screen of the electronic equipment, wherein the network list comprises network information of the at least one first network;
acquiring a second brain wave signal;
analyzing the second brain wave signal to obtain a target keyword;
and selecting a target first network corresponding to the network information containing the target keyword from the network list, and connecting the target first network.
10. The method of claim 9, further comprising:
and determining that the target area of the network list is watched by the sight of the user, and executing the step of acquiring the second brain wave signal when the time length that the target area is watched by the sight of the user is longer than the preset time length.
11. A network connection control apparatus applied to an electronic device including a brain wave part, wherein the apparatus comprises:
the brain wave monitoring system comprises a collecting unit, a processing unit and a processing unit, wherein the collecting unit is used for collecting a first brain wave signal of a user, the first brain wave signal carries a preset password, and the preset password is contents of meditation of the user;
the analysis unit is used for analyzing the first brain wave signal to obtain the preset password;
the searching unit is used for searching a network according to the preset password to obtain at least one first network matched with the preset password;
a connection unit, configured to select a first network from the at least one first network for network connection;
in the analyzing the first brain wave signal to obtain the preset password, the analyzing unit is specifically configured to:
preprocessing the first brain wave signal to obtain a first reference brain wave signal, wherein the preprocessing at least comprises signal separation, and the signal separation is used for separating out the brain wave signal of a neuron related to emotion;
sampling and quantizing the first reference brain wave signal to obtain a first discrete brain wave signal;
performing feature extraction on the first discrete brain wave signal to obtain a plurality of feature values;
and obtaining target keywords corresponding to the plurality of characteristic values according to a mapping relation between preset characteristic values and keywords, and forming the preset password by the target keywords.
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810205998.7A CN108449757B (en) | 2018-03-13 | 2018-03-13 | Network connection control method and related product |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810205998.7A CN108449757B (en) | 2018-03-13 | 2018-03-13 | Network connection control method and related product |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108449757A CN108449757A (en) | 2018-08-24 |
| CN108449757B true CN108449757B (en) | 2021-06-01 |
Family
ID=63194112
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810205998.7A Expired - Fee Related CN108449757B (en) | 2018-03-13 | 2018-03-13 | Network connection control method and related product |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108449757B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110972234B (en) * | 2019-11-28 | 2022-01-04 | 维沃移动通信有限公司 | Network connection method and electronic equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106774843A (en) * | 2016-11-23 | 2017-05-31 | 同济大学 | A kind of cipher input equipment and method |
| CN106961470A (en) * | 2017-03-01 | 2017-07-18 | 深圳市海派通讯科技有限公司 | A kind of exchange method of remote control intelligent terminal |
| 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 |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9491186B2 (en) * | 2013-06-19 | 2016-11-08 | Verizon Patent And Licensing Inc. | Method and apparatus for providing hierarchical pattern recognition of communication network data |
| WO2015047032A1 (en) * | 2013-09-30 | 2015-04-02 | 삼성전자 주식회사 | Method for processing contents on basis of bio-signal and device therefor |
-
2018
- 2018-03-13 CN CN201810205998.7A patent/CN108449757B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106774843A (en) * | 2016-11-23 | 2017-05-31 | 同济大学 | A kind of cipher input equipment and method |
| CN106961470A (en) * | 2017-03-01 | 2017-07-18 | 深圳市海派通讯科技有限公司 | A kind of exchange method of remote control intelligent terminal |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108449757A (en) | 2018-08-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108509033B (en) | Information processing method and related product | |
| CN107480496B (en) | Unlocking control method and related product | |
| CN108519811B (en) | Screenshot method and related product | |
| CN107679482B (en) | Unlocking control method and related product | |
| CN108491076B (en) | Display control method and related product | |
| CN108391164B (en) | Video parsing method and related product | |
| CN108495191A (en) | Video playing control method and related product | |
| CN108499111B (en) | Game difficulty adjusting method and related product | |
| CN108279777B (en) | Brain wave control method and related equipment | |
| CN108415564B (en) | Electronic device, equipment control method and related product | |
| CN108392201B (en) | Brain training method and related equipment | |
| CN108449757B (en) | Network connection control method and related product | |
| CN108494955B (en) | Network connection control method and related product | |
| CN108260012B (en) | Electronic device, video playing control method and related product | |
| WO2019161720A1 (en) | Information pushing method and related product | |
| CN108594989B (en) | Brain wave acquisition method and related equipment | |
| CN110278323B (en) | Network hiding management method and related product | |
| CN107870670A (en) | Smart machine control method, equipment and readable storage medium storing program for executing based on brain wave | |
| CN110175594B (en) | Vein identification method and related product | |
| CN108399006B (en) | Signal processing method and related product | |
| CN108415738B (en) | Electronic device, device control method and related product | |
| CN110278593B (en) | Network connection control method and related product | |
| CN108459718A (en) | Electronic equipment, application control method and related product | |
| CN108509032B (en) | Network connection control method and related product | |
| CN108601021B (en) | Network security management method and related product |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
|
| CB02 | Change of applicant information | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210601 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |