CN108415567B - Brain training method and related product - Google Patents
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- 238000012549 training Methods 0.000 title claims abstract description 126
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- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
Abstract
The embodiment of the application discloses a brain training method and a related product, wherein the method comprises the following steps: the electronic equipment acquires brain wave signals of a user through the brain wave sensor; determining left and right brain laterality indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; and executing the preset operation to train the brain of the user. The embodiment of the application provides a scheme for training the brain of a user based on electronic equipment, so that the convenience and the intelligence of brain training are realized.
Description
Technical Field
The application relates to the technical field of electronic equipment, in particular to a brain training method and a related product.
Background
With the widespread use of a large number of electronic devices such as smart phones, smart phones have more and more applications and more powerful functions, and smart phones are developed towards diversification and personalization directions and become indispensable electronic products in user life. Users usually interact with the electronic device through finger touch, voice input, and other forms to control the electronic device to complete various functions.
The human brain is divided into left and right brains, and has a certain laterality, i.e., the left or right brain is usually used when people think. Wherein the left brain governs abstract thinking, language, etc., and the right brain governs image thinking, music ability, etc.
Disclosure of Invention
The embodiment of the application provides a brain training method and a related product, and aims to provide a scheme for training the brain of a user based on electronic equipment, so that the convenience and the intelligence of brain training are realized.
In a first aspect, embodiments of the present application provide an electronic device, including a brain wave sensor and a control circuit, wherein,
the brain wave sensor is used for collecting brain wave signals of a user;
the control circuit is used for determining left and right brain lateralization indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; and executing the preset operation to train the brain of the user.
In a second aspect, an embodiment of the present application provides a brain training method applied to an electronic device, where the electronic device includes a brain wave sensor, and the method includes:
collecting brain wave signals of a user through the brain wave sensor;
determining left and right brain laterality indexes of the user based on the brain wave signals;
determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes;
and executing the preset operation to train the brain of the user.
In a third aspect, the present invention provides a brain training apparatus, including an electronic device including a brain wave sensor, the brain training apparatus including an acquisition unit, a determination unit, and an execution unit, wherein,
the acquisition unit is used for acquiring brain wave signals of a user through the brain wave sensor;
the determining unit is used for determining left and right brain laterality indexes of the user based on the brain wave signals;
the determining unit is further used for determining preset operation for training the brain of the user based on the left and right cerebral laterality indexes;
the execution unit is used for executing the preset operation to train the brain of the user.
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 of any of the methods 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 part or all of the steps described in any one of the methods in the second aspect of the present application.
In a sixth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps described in any one of the methods of the second aspect of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the present application, the electronic device acquires the brain wave signal of the user through the brain wave sensor, determines the left and right brain laterals indexes of the user based on the brain wave signal, determines the preset operation for training the brain of the user based on the left and right brain laterals indexes, and finally executes the preset operation to train the brain of the user. The embodiment of the application provides a method for training the left brain and/or the right brain of a user based on electronic equipment, and the convenience and the intelligence of brain training are realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these 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 a brain wave sensor according to an embodiment of the present application;
fig. 1C is a schematic structural diagram of an electronic device integrated with a brain wave sensor according to an embodiment of the present application;
fig. 1D is a schematic structural diagram of another electroencephalogram sensor provided according to an embodiment of the present application;
fig. 1E is a schematic structural diagram of another electroencephalogram sensor provided in an embodiment of the present application;
fig. 1F is a schematic structural diagram of an electrode array according to an embodiment of the present disclosure;
fig. 1G is an exemplary diagram of a signal processing circuit of a brain wave sensor provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a brain training method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another brain training method provided in the embodiments of the present application;
fig. 4 is a schematic flow chart of another brain training method provided in the embodiments of the present application;
fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;
fig. 6 is a block diagram illustrating functional units of a brain training device according to an embodiment of the present disclosure.
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 device according to the embodiment 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, which have wireless communication functions, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.
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 brain wave monitoring device comprises a shell 110, a brain wave sensor 120 arranged in the shell 110, a display screen 130, a camera 140, a control circuit 150, a radio frequency system 160 and a memory 170, wherein the brain wave sensor 120, the display screen 130, the camera 140 and the radio frequency system 160 are connected with the control circuit 150, the control circuit 150 is connected with the display screen 130, the radio frequency system 160 comprises a transmitter 161, a receiver 162 and a processor 163, wherein,
the brain wave sensor 120 is used for collecting brain wave signals of a user;
the control circuit 150 is used for determining left and right brain laterality indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; and executing the preset operation to train the brain of the user.
The brain wave sensor 120 may also be referred to as a brain wave chip, a brain wave receiver, or the like, the brain wave sensor 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 sensor 120 and an electromagnetic type brain wave sensor 120 according to the type of a signal collected, the current type brain wave sensor 120 collects a bioelectric current generated from a cerebral cortex, and the electromagnetic type brain wave sensor 120 collects an electromagnetic wave radiated from a brain of a human when the human is moving. It is understood that the specific form of the brain wave sensor 120 may be various and is not limited thereto.
For example, as shown in fig. 1B, the brain wave sensor 120 may include an antenna module and a signal processing module, the antenna module collects electromagnetic wave signals generated during the activity of the brain of the human, and the signal processing module performs denoising, filtering and other processing on the electromagnetic wave signals to finally form a reference brain wave signal and sends the reference brain wave signal to the processor for processing.
For another example, as shown in fig. 1C and 1D, the electroencephalogram sensor 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 sensor is used, as shown in fig. 1D, the wearable signal collector is connected to the local terminal of the electronic device through a wired connection or a wireless connection (the wireless connection corresponds to the wearable signal collector integrating a wireless communication module to communicate with the local terminal of the electronic device).
As another example, as shown in fig. 1E to 1G, the brain wave sensor 120 may include an electrode array embedded in the scalp to capture electrical signals of neurons, a signal processing module having a needle-shaped array structure, and a signal processing circuit including an instrumentation amplifier, a low pass filter circuit, a high pass filter circuit, an analog-to-digital a/D conversion circuit, an interface circuit, etc.
The control circuit 150 includes an application processor and a baseband processor, and the control circuit 150 is a control center of the electronic device, connects various parts of the whole electronic device by using 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 the data stored in the memory, thereby performing overall monitoring on 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 control circuit 150. The memory 170 may be used to store software programs and modules, and the control circuit 150 executes various functional applications and data processing of the electronic device by operating the software programs and modules stored in the memory. The memory 170 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 170 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 a specific implementation, the electronic device may control the brain wave sensor 120 to operate in a low power mode in a stationary state and in a high frequency mode in the stationary state, thereby reducing power consumption.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor; determining left and right brain laterality indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; and finally, the electronic equipment executes the preset operation to train the brain of the user. The embodiment of the application provides electronic equipment for training the left brain and/or the right brain of a user, so that the convenience and the intelligence of brain training are realized.
In one possible example, in the aspect of determining preset operations for training the brain of the user based on the left-right brain laterality index, the control circuit 150 is specifically configured to:
determining a target brain region with weak liveness based on the left and right cerebral laterality indexes, and acquiring a pre-stored wallpaper set for training the target brain region; screening at least one wallpaper from the wallpaper set; determining that the display operation for the at least one piece of wallpaper is the preset operation for training the brain of the user.
In one possible example, in the aspect of said screening out at least one wallpaper from the set of wallpapers, the control circuit 150 is specifically configured to:
determining a current emotion of the user based on the brain wave signal; and screening at least one piece of wallpaper meeting the current emotion from the wallpaper set.
In one possible example, in the aspect of determining preset operations for training the brain of the user based on the left-right brain laterality index, the control circuit 150 is specifically configured to:
determining a target brain region with weaker activity based on the left and right cerebral laterality indexes; acquiring a prestored application set for training the target brain region; screening out target applications from the application set; determining that the opening operation for the target application is the preset operation for training the brain of the user.
In one possible example, in the aspect of screening out the target application from the application set, the control circuit 150 is specifically configured to:
acquiring the current system time of the electronic equipment; and screening out target applications which accord with the current system time from the application set.
Referring to fig. 2, fig. 2 is a schematic flow chart of a brain training method according to an embodiment of the present application, applied to an electronic device as shown in fig. 1A, applied to an electronic device including a brain wave sensor, as shown in fig. 1A, the brain training method according to the embodiment of the present application includes:
s201, the electronic equipment acquires brain wave signals of the user through the brain wave sensor.
S202, the electronic equipment determines left and right brain laterality indexes of the user based on the brain wave signals.
The left and right lateral cerebral indices are used to describe the activity of the left and right or right brain in the user's brain. In one embodiment, the left-right lateral cerebral index may be calculated by: the brain wave signal intensity of the left brain/(the left brain wave signal intensity + the right brain wave signal intensity), wherein when the left-right brain laterality index is greater than or equal to a preset threshold value, the activeness of the left brain of the user is higher; when the left-right lateral cerebral deviation index is smaller than a preset threshold, the activity of the right brain of the user is higher. The above description only illustrates one calculation method of the left and right lateral cerebral indexes, but it should be understood that there are many calculation methods of the left and right lateral cerebral indexes, and the embodiment of the present application is not limited thereto.
S203, the electronic equipment determines preset operation for training the brain of the user based on the left and right cerebral laterality indexes.
The preset operation may be controlling wallpaper of the electronic device or displaying related content of the lock screen magazine, or controlling the electronic device to open a certain application program, and the like, and the embodiment of the application is not limited.
S204, the electronic equipment executes the preset operation to train the brain of the user.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor; determining left and right brain laterality indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; and finally, the electronic equipment executes the preset operation to train the brain of the user. The embodiment of the application provides a method for training the left brain and/or the right brain of a user based on electronic equipment, and the convenience and the intelligence of brain training are realized.
In one possible example, the specific implementation of the electronic device determining the preset operations for training the brain of the user based on the left and right cerebral laterality indices may be:
the electronic equipment determines a target brain area with weak liveness based on the left and right cerebral laterality indexes, and acquires a pre-stored wallpaper set for training the target brain area; screening at least one wallpaper from the wallpaper set; determining that the display operation for the at least one piece of wallpaper is the preset operation for training the brain of the user.
The wallpaper may include a screen locking wallpaper, a desktop wallpaper, a contact wallpaper (a dial key wallpaper (a button may be combined with a wallpaper here), a call record wallpaper, a contact wallpaper, a default wallpaper when a short message is not opened, an opened short message wallpaper, a pull-down contact wallpaper, a contact pop-up wallpaper, etc.), a pull-down menu wallpaper, a software folder wallpaper, etc., which are not limited herein.
The wallpaper may include a static wallpaper or a dynamic wallpaper, which is not limited herein.
The human brain is divided into left and right brains, and has a certain laterality, i.e., the left or right brain is usually used when people think. Wherein the left brain governs abstract thinking, language, etc., and the right brain governs image thinking, music ability, etc. The electronic equipment detects left and right brain laterality indexes of the user through collected brain wave signals, if the activeness of the left brain is lower than that of the right brain, the fact that the thinking of the current user is inclined to the right brain is obtained, and at the moment, wallpaper capable of training abstract thinking and language expression ability of the user is pushed to the user from a wallpaper set so as to train the left brain of the user.
Therefore, in the example, the electronic device determines the activeness of the left and right brains by analyzing the left and right brain laterality indexes, further screens the wallpaper in the wallpaper set through the activeness of the left and right brains, and then pushes the wallpaper, so that the laterality of the user's brain can be accurately analyzed to a certain extent, and then the user's brain is trained through the pushed wallpaper, and therefore the convenience and the accuracy of the user's brain training are improved.
In one possible example, a specific implementation manner of the electronic device for screening out at least one piece of wallpaper from the wallpaper set may be:
the electronic equipment determines the current emotion of the user based on the brain wave signal; and screening at least one piece of wallpaper meeting the current emotion from the wallpaper set.
Optionally, the electronic device acquires a brain wave signal, queries a brain wave template library, where the brain wave template library is used to store a mapping relationship between the brain wave signal and an emotion, and determines a current emotion of the user corresponding to the current brain wave signal according to the current brain wave signal and the mapping relationship between the brain wave signal and the emotion, so as to select a wallpaper for stitching the current emotion of the user from the wallpaper set according to the current emotion of the user. Wherein, the wallpaper set can be classified in advance according to the emotion which may appear by the user. Therefore, by implementing the embodiment of the invention, the currently pushed wallpaper can train the brain of the user on the premise of conforming to the emotion of the user, so that the brain training effect is favorably improved.
In one possible example, the specific implementation of the electronic device determining the preset operations for training the brain of the user based on the left and right cerebral laterality indices may be:
the electronic equipment determines a target brain region with weak activity based on the left and right cerebral laterality indexes, and acquires a prestored application set for training the target brain region; screening out target applications from the application set; determining that the opening operation for the target application is the preset operation for training the brain of the user.
Wherein, the application set may include: game, photo, video, reading, etc., and are not limited herein.
Optionally, the electronic device obtains the activity of the current left and right brain areas of the user, determines an application set corresponding to the activity of the current left and right brain areas of the user, and then the electronic device may randomly select a target application from the application set and start the target application.
For example, assuming that the application set a is { sudoku APP, reading APP, jigsaw APP }, the electronic device determines that the activity of the left brain is higher than that of the right brain through the left-right brain laterality index of the user detected by the acquired brain waves, so that the current thinking of the user is biased to the left brain, the application set a trained for the right brain is further obtained, a target application can be randomly screened from the application set a, and the target application is started to train the brain of the user.
In one possible example, a specific implementation manner of the electronic device for screening out the target application from the application set may be:
acquiring the current system time of the electronic equipment; and screening out target applications which accord with the current system time from the application set.
The system time may be a standard country time of the current electronic device.
Optionally, the electronic device splits the system time into a working time and a rest time, obtains an application set corresponding to the current time according to a mapping relationship between different times and a pre-stored application set, and randomly selects the target application from the determined application set.
For example, the mapping relationship between the time and the application set may be that the working time corresponds to the application set composed of the applications with smaller training intensity, and the rest time corresponds to the application set composed of the applications with larger training intensity. The electronic equipment is assumed to acquire that the current system time is Beijing 8 o' clock at night, and the time corresponds to the rest time of the user, so that the electronic equipment can acquire an application A set with high training intensity, wherein the application A set is { English, Sudoku, and Compass }, randomly select the application A, and select English as a target application to train the brain at high intensity.
Therefore, in the example, the electronic equipment can flexibly use according to the time limit, and trains the brain of the user by selecting different applications, so that the condition that the brain load is too heavy and the health of the user is damaged due to improper application selection is avoided, and the reasonability and the intelligence of the electronic equipment for training the brain are improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of a brain training method according to an embodiment of the present application, applied to the electronic device shown in fig. 1A and applied to an electronic device including a brain wave sensor, as shown in fig. 3, where the brain training method according to the embodiment of the present application includes the following steps:
and S301, the electronic equipment acquires the brain wave signals of the user through the brain wave sensor.
S302, the electronic equipment determines left and right brain laterality indexes of the user based on the brain wave signals.
And S303, the electronic equipment determines a target brain region with weak liveness according to the left and right cerebral laterality indexes, and acquires a pre-stored wallpaper set for training the target brain region.
S304, the electronic equipment determines the current emotion of the user based on the brain wave signals.
S305, the electronic equipment screens out at least one piece of wallpaper meeting the current emotion from the wallpaper set.
S306, the electronic device determines that the display operation for the at least one piece of wallpaper is the preset operation for training the brain of the user.
S307, the electronic device displays the at least one piece of wallpaper to train the brain of the user.
It can be seen that, in the embodiment of the application, the electronic device acquires brain wave signals of a user through the brain wave sensor, determines left and right lateral cerebral indexes of the user based on the brain wave signals, determines the activity of left and right brains through analyzing the left and right lateral cerebral indexes, further screens wallpapers with concentrated wallpapers through the activity of the left and right brains, and further pushes the wallpapers to train the brain of the user. Therefore, the embodiment of the application provides a method for training the left brain and/or the right brain of a user based on electronic equipment, and the convenience and the intelligence of brain training are realized.
In addition, the electronic equipment firstly determines the current emotion of the user through brain wave signals, secondly screens out the corresponding wallpaper sets according to the left and right brain laterality indexes, and finally screens out at least one piece of wallpaper meeting the emotion again from the wallpaper sets.
Referring to fig. 4, fig. 4 is a schematic flowchart of another brain training method provided in the embodiment of the present application, and the method is applied to the electronic device shown in fig. 1A, consistent with the embodiment shown in fig. 2. As shown in fig. 4, the brain training method in the embodiment of the present application includes the following steps:
s401, the electronic equipment collects brain wave signals of the user through the brain wave sensor.
S402, the electronic equipment determines left and right brain laterality indexes of the user based on the brain wave signals.
And S403, the electronic equipment determines a target brain region with weak liveness according to the left and right cerebral laterality indexes, and acquires a pre-stored application set for training the target brain region.
S404, the electronic equipment acquires the current system time of the electronic equipment.
S405, the electronic equipment screens out target applications which accord with the current system time from the application set.
S406, the electronic equipment determines that the starting operation aiming at the target application is the preset operation for training the brain of the user.
S407, the electronic device starts the target application to train the brain of the user.
It can be seen that, in the embodiment of the present application, in consideration of differences between the left and right brains of a human brain, the embodiment of the present application proposes to train the left and right brains in a targeted manner, the electronic device acquires brain wave signals of a user through the brain wave sensor, determines left and right lateral indexes of the user based on the brain wave signals, determines an area with low activity in the current human brain according to the left and right lateral indexes, and further screens out an application for training the area with low activity and starts the application to train the brain of the user. The embodiment of the application provides a method for training the left brain and/or the right brain of a user based on electronic equipment, and the convenience and the intelligence of brain training are realized.
In addition, because the electronic equipment can be flexible, the brain of the user is trained by selecting different applications according to different time, the phenomenon that the brain is overloaded and the health of the user is damaged due to improper application selection is avoided, or the normal working life of the user is influenced due to improper application selection is avoided, so that the reasonability and the intelligence of the electronic equipment for training the brain are improved.
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.
In accordance with the embodiments shown in fig. 2, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application, where 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 programs include instructions for performing the following steps;
collecting brain wave signals of a user through the brain wave sensor;
determining left and right brain laterality indexes of the user based on the brain wave signals;
determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes;
and executing the preset operation to train the brain of the user.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor; determining left and right brain laterality indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; and finally, the electronic equipment executes the preset operation to train the brain of the user. The embodiment of the application provides a method for training the left brain and/or the right brain of a user based on electronic equipment, and the convenience and the intelligence of brain training are realized.
In one possible example, in the aspect of said determining preset operations for training the user's brain based on the left and right brain laterality indices, the instructions in the program are specifically for performing the following operations:
determining a target brain region with weaker activity based on the left and right cerebral laterality indexes; acquiring a pre-stored wallpaper set for training the target brain region; screening at least one wallpaper from the wallpaper set; determining that the display operation for the at least one piece of wallpaper is the preset operation for training the brain of the user.
In one possible example, in the screening of at least one wallpaper from the set of wallpapers, the instructions in the program are specifically configured to:
determining a current emotion of the user based on the brain wave signal; and screening at least one piece of wallpaper meeting the current emotion from the wallpaper set.
In one possible example, in the aspect of said determining preset operations for training the user's brain based on the left and right brain laterality indices, the instructions in the program are specifically for performing the following operations:
determining a target brain region with weak activity based on the left and right cerebral laterality indexes, and acquiring a prestored application set for training the target brain region; screening out target applications from the application set; determining that the opening operation for the target application is the preset operation for training the brain of the user.
In one possible example, in the aspect of the screening out the target application from the application set, the instructions in the program are specifically configured to:
acquiring the current system time of the electronic equipment; and screening out target applications which accord with the current system time from the application set.
Fig. 6 is a block diagram showing functional units of a brain training apparatus 600 according to an embodiment of the present application. The brain training apparatus 600 is applied to an electronic device including a brain wave sensor, the brain training apparatus 600 includes an acquisition unit 601, a determination unit 602, and an execution unit 603, wherein,
the acquisition unit 601 is used for acquiring brain wave signals of a user through the brain wave sensor;
the determining unit 602 is configured to determine left and right brain laterality indexes of the user based on the brain wave signals;
the determining unit 602 is further configured to determine a preset operation for training the brain of the user based on the left-right cerebral laterality index;
the executing unit 603 is configured to execute the preset operation to train the brain of the user.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor; determining left and right brain laterality indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; and finally, the electronic equipment executes the preset operation to train the brain of the user. The embodiment of the application provides a method for training the left brain and/or the right brain of a user based on electronic equipment, and the convenience and the intelligence of brain training are realized.
In one possible example, in the aspect of determining preset operations for training the brain of the user based on the left-right cerebral laterality index, the determining unit 602 is specifically configured to:
determining a target brain region with weak liveness based on the left and right cerebral laterality indexes, and acquiring a pre-stored wallpaper set for training the target brain region; screening at least one wallpaper from the wallpaper set; determining that the display operation for the at least one piece of wallpaper is the preset operation for training the brain of the user.
In one possible example, in the aspect of said screening out at least one wallpaper from the set of wallpapers, the determining unit 602 is specifically configured to:
determining a current emotion of the user based on the brain wave signal; and screening at least one piece of wallpaper meeting the current emotion from the wallpaper set.
In one possible example, in the aspect of determining preset operations for training the brain of the user based on the left-right cerebral laterality index, the determining unit 602 is specifically configured to:
determining a target brain region with weaker activity based on the left and right cerebral laterality indexes; acquiring a prestored application set for training the target brain region; screening out target applications from the application set; determining that the opening operation for the target application is the preset operation for training the brain of the user.
In one possible example, in the aspect of screening out the target application from the application set, the determining unit 602 is specifically configured to:
acquiring the current system time of the electronic equipment; and screening out target applications which accord with the current system time from the application set.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables 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 a mobile terminal.
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 a mobile terminal.
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 invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. 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 by the invention.
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 division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. 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 invention 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, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
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: a flash disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, and the like.
The foregoing embodiments of the present invention have been described in detail, and the principles and embodiments of the present invention are explained herein by using specific examples, which are only used to help understand the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, 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 invention.
Claims (13)
1. An electronic apparatus comprising a brain wave sensor and a control circuit, wherein,
the brain wave sensor is used for collecting brain wave signals of a user;
the control circuit is used for determining left and right brain lateralization indexes of the user based on the brain wave signals; determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; the preset operation is to control wallpaper of the electronic equipment or screen locking magazines to display related contents, or control the electronic equipment to start an application program; performing the preset operation to train the brain of the user;
in said determining a preset operation for training the brain of the user based on the left and right brain laterality indices, the control circuitry is specifically configured to: determining a target brain region with weaker activity based on the left and right cerebral laterality indexes; if the target brain area is the left brain, determining that wallpaper for controlling the electronic equipment or wallpaper for controlling the screen locking magazine to display specific wallpaper for training abstract thinking and language expression ability of the user is preset operation for training the brain of the user; and if the target brain area is the right brain, determining to control the electronic equipment to start a target application program in an application set for training the right brain as the preset operation for training the brain of the user.
2. The electronic device of claim 1, wherein, in the aspect of determining that the wallpaper or the lockscreen magazine controlling the electronic device displays a specific wallpaper for training abstract thinking and language expression ability of a user is a preset operation of the brain for training the user, the control circuit is specifically configured to:
acquiring a pre-stored wallpaper set for training the target brain region; screening at least one wallpaper from the wallpaper set; determining that the display operation for the at least one piece of wallpaper is the preset operation for training the brain of the user.
3. The electronic device of claim 2, wherein, in said screening out at least one wallpaper from the set of wallpapers, the control circuitry is specifically configured to:
determining a current emotion of the user based on the brain wave signal; and screening at least one piece of wallpaper meeting the current emotion from the wallpaper set.
4. The electronic device of claim 1, wherein in the aspect of determining that controlling the electronic device to turn on a target application of a set of applications for training a right brain is the preset operation for training a user's brain, the control circuitry is specifically configured to:
acquiring a prestored application set for training the target brain region; screening out target applications from the application set; determining that the opening operation for the target application is the preset operation for training the brain of the user.
5. The electronic device of claim 4, wherein, in said screening of a target application from the set of applications, the control circuitry is specifically configured to:
acquiring the current system time of the electronic equipment; and screening out target applications which accord with the current system time from the application set.
6. A brain training method applied to an electronic device including a brain wave sensor, the method comprising:
collecting brain wave signals of a user through the brain wave sensor;
determining left and right brain laterality indexes of the user based on the brain wave signals;
determining preset operations for training the brain of the user based on the left and right cerebral laterality indexes; the preset operation is to control wallpaper of the electronic equipment or screen locking magazines to display related contents, or control the electronic equipment to start an application program;
performing the preset operation to train the brain of the user;
the determining a preset operation for training the brain of the user based on the left and right cerebral laterality indexes comprises:
determining a target brain region with weaker activity based on the left and right cerebral laterality indexes;
if the target brain area is the left brain, determining that wallpaper for controlling the electronic equipment or wallpaper for controlling the screen locking magazine to display specific wallpaper for training abstract thinking and language expression ability of the user is preset operation for training the brain of the user;
and if the target brain area is the right brain, determining to control the electronic equipment to start a target application program in an application set for training the right brain as the preset operation for training the brain of the user.
7. The method as claimed in claim 6, wherein the determining that the wallpaper controlling the electronic device or the lock screen magazine display specific wallpaper for training abstract thinking and language expression ability of the user is the preset operation for training the brain of the user comprises:
acquiring a pre-stored wallpaper set for training the target brain region;
screening at least one wallpaper from the wallpaper set;
determining that the display operation for the at least one piece of wallpaper is the preset operation for training the brain of the user.
8. The method of claim 7, wherein the screening at least one wallpaper from the set of wallpapers comprises:
determining a current emotion of the user based on the brain wave signal;
and screening at least one piece of wallpaper meeting the current emotion from the wallpaper set.
9. The method of claim 6, wherein the determining to control the electronic device to start a target application program in a set of applications for training a right brain is the preset operation for training a brain of a user, and comprises:
acquiring a prestored application set for training the target brain region;
screening out target applications from the application set;
determining that the opening operation for the target application is the preset operation for training the brain of the user.
10. The method of claim 9, wherein the screening of the set of applications for the target application comprises:
acquiring the current system time of the electronic equipment;
and screening out target applications which accord with the current system time from the application set.
11. The brain training device is characterized by being applied to electronic equipment, the electronic equipment comprises a brain wave sensor, the brain training device comprises an acquisition unit, a determination unit and an execution unit, wherein,
the acquisition unit is used for acquiring brain wave signals of a user through the brain wave sensor;
the determining unit is used for determining left and right brain laterality indexes of the user based on the brain wave signals;
the determining unit is further used for determining preset operation for training the brain of the user based on the left and right cerebral laterality indexes; the preset operation is to control wallpaper of the electronic equipment or screen locking magazines to display related contents, or control the electronic equipment to start an application program;
in said determining a preset operation for training the brain of the user based on the left and right brain laterality indices, the determining unit is specifically configured to: determining a target brain region with weaker activity based on the left and right cerebral laterality indexes; if the target brain area is the left brain, determining that wallpaper for controlling the electronic equipment or wallpaper for controlling the screen locking magazine to display specific wallpaper for training abstract thinking and language expression ability of the user is preset operation for training the brain of the user; if the target brain area is the right brain, determining to control the electronic equipment to start a target application program in an application set for training the right brain as a preset operation for training the brain of the user;
the execution unit is used for executing the preset operation to train the brain of the user.
12. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in 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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