CN108415567A - Brain training method and related product - Google Patents

Abstract

The embodiment of the present application discloses a kind of brain training method and Related product, method therein include：Electronic equipment acquires the eeg signal of user by the brain wave sensor；The inclined side index of the left and right brain of user is determined based on the eeg signal；The predetermined registration operation of the brain for training user is determined based on the inclined side index of the left and right brain；The predetermined registration operation is executed with the brain of training user.The embodiment of the present application proposes a kind of scheme based on electronic equipment training user's brain, to realize the convenience and intelligent of brain training.

Description

Brain training methods and related products

technical field

This application relates to the technical field of electronic equipment, in particular to a brain training method and related products.

Background technique

With the popularization and application of electronic devices such as smart phones, more and more applications can be supported by smart phones, and the functions are becoming more and more powerful. . Users usually interact with electronic devices through finger touch, voice input, etc., and control the electronic devices to complete various functions.

The human brain is divided into the left brain and the right brain, and the human brain has a certain laterality, that is, people are accustomed to using the left brain or the right brain when thinking. Among them, the left brain is in charge of abstract thinking, language, etc., and the right brain is in charge of image thinking, musical ability, etc.

Contents of the invention

The embodiment of the present application provides a brain training method and related products, in order to propose a solution for training the user's brain based on electronic equipment, so as to realize the convenience and intelligence of the brain training.

In the first aspect, the embodiment of the present application provides an electronic device, including a brain wave sensor and a control circuit, wherein,

The brain wave sensor is used to collect the user's brain wave signal;

The control circuit is used to determine the left and right brain laterality index of the user based on the brain wave signal; determine a preset operation for training the user's brain based on the left and right brain laterality index; perform the preset operation to train the user's brain.

In the second aspect, the embodiment of the present application provides a brain training method applied to an electronic device, the electronic device includes a brain wave sensor, and the method includes:

collecting the user's brain wave signal through the brain wave sensor;

determining the laterality index of the left and right brain of the user based on the brain wave signal;

determining a preset operation for training the user's brain based on the left and right hemisphere indices;

The preset operations are performed to train the user's brain.

In the third aspect, the embodiment of the present application provides a brain training device, which is applied to electronic equipment, the electronic equipment includes a brain wave sensor, and the brain training device includes an acquisition unit, a determination unit and an execution unit, wherein,

The collecting unit is used to collect the user's brain wave signal through the brain wave sensor;

The determining unit is configured to determine the left and right brain laterality index of the user based on the brain wave signal;

The determination unit is further configured to determine a preset operation for training the user's brain based on the laterality index of the left and right hemispheres;

The executing unit is configured to execute the preset operation to train the user's brain.

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, wherein the one or more programs are stored in the memory and are configured to be processed by the above The above program includes instructions for executing the steps in any method of the second aspect of the embodiment of the present application.

In the fifth aspect, the embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables the computer to execute Part or all of the steps described in any method of the two aspects.

In a sixth aspect, an embodiment of 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 enable the computer to execute the program as implemented in the present application. For example, some or all of the steps described in any method of the second aspect. 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 collects the user's brain wave signal through the brain wave sensor, determines the user's left and right hemisphere index based on the brain wave signal, and determines the user's left and right hemisphere index based on the left and right hemisphere index. In order to train the preset operation of the user's brain, the electronic device finally executes the preset operation to train the user's brain. The embodiment of the present application proposes a method for training the user's left brain and/or right brain based on electronic equipment, so as to realize the convenience and intelligence of brain training.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings that need to be used in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present application. Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

FIG. 1A is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 1B is a schematic structural diagram of an brainwave sensor provided in an embodiment of the present application;

FIG. 1C is a schematic structural diagram of an electronic device integrating an brainwave sensor provided by an embodiment of the present application;

Fig. 1D is a schematic structural diagram of another brainwave sensor provided by the embodiment of the present application;

FIG. 1E is a schematic structural diagram of another brainwave sensor provided by the embodiment of the present application;

FIG. 1F is a schematic structural diagram of an electrode array provided in an embodiment of the present application;

Fig. 1G is an example diagram of the signal processing circuit of the brain wave sensor provided by the embodiment of the present application;

Fig. 2 is a schematic flow chart of a brain training method provided by the embodiment of the present application;

Fig. 3 is a schematic flow chart of another brain training method provided by the embodiment of the present application;

Fig. 4 is a schematic flow chart of another brain training method provided by the embodiment 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 of functional units of a brain training device provided by an embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

The terms "first", "second" and the like in the specification and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or devices.

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 present application. The occurrences of this 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 understood explicitly and implicitly by those 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 with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of user equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal device) and so on. For convenience of description, the devices mentioned above are collectively referred to as electronic devices.

The following describes the embodiments of the present application in detail.

Please refer to FIG. 1A. FIG. 1A is a schematic structural diagram of an electronic device 100 provided by an embodiment of the present application. The electronic device 100 includes: a housing 110, an electroencephalogram sensor 120 disposed in the housing 110, and a display screen 130, the camera 140, the control circuit 150, the radio frequency system 160, and the memory 170, the brain wave sensor 120, the display screen 130, the camera 140 and the radio frequency system 160 are connected to the control circuit 150, and the control circuit 150 is connected to the Display screen 130, the radio frequency system 160 includes a transmitter 161, a receiver 162, and a processor 163, wherein,

The brain wave sensor 120 is used to collect the user's brain wave signal;

The control circuit 150 is used to determine the left and right hemisphere index of the user based on the brain wave signal; determine a preset operation for training the user's brain based on the left and right hemisphere index; perform the preset operation to Train the user's brain.

Among them, the brainwave sensor 120 can also be called a brainwave chip, a brainwave receiver, etc., the brainwave sensor 120 is integrated in an electronic device, has a dedicated signal processing circuit, and is connected to the processor of the electronic device. It can be divided into current type brain wave sensor 120 and electromagnetic type brain wave sensor 120. The current type brain wave sensor 120 collects the biological current generated by the cerebral cortex, and the electromagnetic type brain wave sensor 120 collects the electromagnetic waves radiated when the human brain is active. It can be understood that, the specific form of the brainwave sensor 120 can be various, and there is no unique limitation here.

For example, as shown in FIG. 1B, the brainwave sensor 120 may include an antenna module and a signal processing module. The antenna module collects electromagnetic wave signals generated during human brain activity, and the signal processing module performs processing such as denoising and filtering on the electromagnetic wave signals. , finally forming a reference brain wave signal and sending it to the processor for processing.

For another example, as shown in FIGS. 1C and 1D , the brainwave sensor 120 may include a wearable signal collector, and the wearable signal collector may be housed in the receiving cavity of the rear shell of the electronic device as shown in FIG. 1C , when in use, as shown in Figure 1D, the wearable signal collector is wired or wirelessly connected to the local end of the electronic device (the wireless connection corresponds to the wearable signal collector integrated with a wireless communication module and connected to the local end of the electronic device).

For another example, as shown in Figures 1E to 1G, the brain wave sensor 120 may include an electrode array and a signal processing module, wherein the electronic array is buried in the scalp to capture electrical signals of neurons, and the structure of the electrode part is needle-like In a row, the signal processing circuit part may include an instrumentation amplifier, a low-pass filter circuit, a high-pass filter circuit, an analog-to-digital A/D conversion circuit, and an interface circuit.

Wherein, the control circuit 150 includes an application processor and a baseband processor, and the control circuit 150 is the control center of the electronic device, which uses various interfaces and lines to connect various parts of the entire electronic device, and runs or executes software programs and and/or modules, and call the data stored in the memory, execute various functions of the electronic device and process data, so as to monitor the electronic device as a whole. Among them, the application processor mainly deals with operating system, user interface and application programs, etc., and the baseband processor mainly deals with wireless communication. It can be understood that the above-mentioned baseband processor may not be integrated into the control circuit 150 . The memory 170 can 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 running the software programs and modules stored in the memory. The memory 170 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function, etc.; the data storage area may store data created according to use of the electronic device, and the like. In addition, the memory 170 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

In a specific implementation, the electronic device may control the brain wave sensor 120 to work in a low power mode in a static state, and in a high frequency mode in a static state, thereby reducing power consumption.

It can be seen that in the embodiment of the present application, the electronic device collects the user's brain wave signal through the brain wave sensor; determines the user's left and right hemisphere index based on the brain wave signal; The preset operation for training the user's brain; finally, the electronic device executes the preset operation to train the user's brain. The embodiment of the present application proposes an electronic device for training the left brain and/or the right brain of a user, so as to realize the convenience and intelligence of brain training.

In a possible example, in terms of determining the preset operation for training the user's brain based on the laterality index of the left and right brain, the control circuit 150 is specifically configured to:

Determine the target brain region with weak activity based on the left and right brain laterality index, obtain a pre-stored wallpaper collection for training the target brain region; filter out at least one wallpaper from the wallpaper collection; determine for the The display operation of at least one wallpaper is the preset operation for training the user's brain.

In a possible example, in terms of selecting at least one wallpaper from the wallpaper collection, the control circuit 150 is specifically configured to:

Determining the current mood of the user based on the brain wave signal; and selecting at least one wallpaper matching the current mood from the wallpaper collection.

In a possible example, in terms of determining the preset operation for training the user's brain based on the laterality index of the left and right brain, the control circuit 150 is specifically configured to:

Determine the target brain area with weak activity based on the left and right brain laterality index; obtain a pre-stored application set for training the target brain area; filter out the target application from the application set; determine the target application for the target application The opening operation of is the preset operation for training the user's brain.

In a possible example, in terms of selecting a target application from the application set, the control circuit 150 is specifically configured to:

Obtaining the current system time of the electronic device; screening out a target application that matches the current system time from the application set.

Please refer to Figure 2, Figure 2 is a schematic flow chart of a brain training method provided by the embodiment of the present application, which is applied to the electronic device as shown in Figure 1A, and is applied to the electronic device, and the electronic device includes a brain wave sensor, as shown in Shown in 1A, the brain training method in the embodiment of the present application comprises:

S201. The electronic device collects a user's brain wave signal through the brain wave sensor.

S202. The electronic device determines the laterality index of the left and right brain of the user based on the brainwave signal.

The left-right hemisphere index is used to describe the activity of the left-right or right-brain in the user's brain. In one embodiment, the calculation method of the above-mentioned left and right brain lateralization index can be: brain wave signal strength of the left brain/(left brain wave signal strength+right brain signal strength of the brain wave), wherein, when the left and right brain laterality When the lateral index is greater than or equal to the preset threshold, it indicates that the user's left hemisphere is more active; when the left and right hemilateral index is smaller than the preset threshold, it indicates that the user's right hemisphere is more active. The above only lists one method for calculating the laterality index of the left and right brains. Understandably, there are many other methods for calculating the laterality index of the left and right brains, which are not limited by the embodiments of the present application.

S203. The electronic device determines a preset operation for training the user's brain based on the laterality index of the left and right brain.

Wherein, the above-mentioned preset operation may be to control the wallpaper or lock screen magazine of the electronic device to display related content, or to control the electronic device to start a certain application program, etc., which are not limited in the embodiment of the present application.

S204. The electronic device executes the preset operation to train the user's brain.

It can be seen that in the embodiment of the present application, the electronic device collects the user's brain wave signal through the brain wave sensor; determines the user's left and right hemisphere index based on the brain wave signal; The preset operation for training the user's brain; finally, the electronic device executes the preset operation to train the user's brain. The embodiment of the present application proposes a method for training the user's left brain and/or right brain based on electronic equipment, so as to realize the convenience and intelligence of brain training.

In a possible example, the electronic device may determine a preset operation for training the user's brain based on the left and right brain laterality index may be:

The electronic device determines a target brain region with weak activity based on the left and right brain laterality index, and acquires a pre-stored wallpaper collection for training the target brain region; and selects at least one wallpaper from the wallpaper collection; It is determined that the display operation for the at least one wallpaper is the preset operation for training the user's brain.

Wherein, the wallpaper can include lock screen wallpaper, desktop wallpaper, contact wallpaper (dial key wallpaper (buttons that can be made here need to be combined with wallpaper), call record wallpaper, contact wallpaper, default wallpaper when the text message is not opened and opened The text message wallpaper, and the pull-down contact wallpaper, the contact pop-up wallpaper, etc.), the pull-down menu wallpaper, the software folder wallpaper, etc., are not limited here.

Wherein, the above-mentioned wallpapers may include static wallpapers or dynamic wallpapers, which are not limited here.

The human brain is divided into the left brain and the right brain, and the human brain has a certain laterality, that is, people are accustomed to using the left brain or the right brain when thinking. Among them, the left brain is in charge of abstract thinking, language, etc., and the right brain is in charge of image thinking, musical ability, etc. The electronic device detects the laterality index of the left and right hemispheres of the user through the collected brainwave signals. If the activity of the left hemisphere is lower than that of the right hemisphere, it is obtained that the current user's thinking is biased towards the right hemisphere. At this time, from the wallpaper collection, the user Push wallpapers that can train the user's abstract thinking and language expression ability to train the user's left brain.

It can be seen that in this example, the electronic device determines the activity of the left and right brains by analyzing the laterality index of the left and right brains, and further screens the wallpapers in the wallpaper collection through the activity of the left and right brains, and then pushes the wallpapers. To a certain extent, it can accurately analyze The laterality of the user's brain, and then train the user's brain through the pushed wallpaper, thereby improving the convenience and accuracy of the user's brain training.

In a possible example, the specific implementation manner of selecting at least one wallpaper from the wallpaper collection by the electronic device may be:

The electronic device determines the current mood of the user based on the brain wave signal; and at least one wallpaper matching the current mood is selected from the wallpaper collection.

Optionally, the electronic device collects brainwave signals and queries the brainwave template library. The brainwave template library is used to store the mapping relationship between brainwave signals and emotions. The mapping relationship determines the user's current emotion corresponding to the current brain wave signal, and then selects the wallpaper that stitches the user's current emotion from the wallpaper collection according to the user's current emotion. Wherein, the wallpaper collection can be classified in advance according to the user's possible emotions. It can be seen that by implementing the embodiment of the present invention, the currently pushed wallpaper can train the user's brain on the premise of conforming to the user's emotion, so as to improve the effect of brain training.

In a possible example, the electronic device may determine a preset operation for training the user's brain based on the left and right brain laterality index may be:

The electronic device determines a target brain region with weak activity based on the left and right brain laterality index, and obtains a pre-stored application set for training the target brain area; selects a target application from the application set; determines the target application for The opening operation of the target application is the preset operation for training the user's brain.

Wherein, the application collection may include: games, camera, video, reading, etc., which are not limited here.

Optionally, the electronic device obtains the activity of the user's current left and right brain regions, determines the application set corresponding to the user's current left and right brain region activity, and then the electronic device can randomly select a target application from the application set and start it.

For example, assuming that the application set of A is {Sudoku APP, Reading APP, Puzzle APP}, the electronic device detects the left and right brain laterality index of the user through the collected brain waves to determine that the activity of the left brain is higher than that of the right brain Therefore, it can be determined that the current user's thinking is biased towards the left brain, and then obtain the A application set for training on the right brain, and then randomly select a target application from the A application set, and open the target application to the user's brain. to train.

In a possible example, the specific implementation manner for the electronic device to filter out the target application from the application set may be:

Obtaining the current system time of the electronic device; screening out a target application that matches the current system time from the application set.

Wherein, the system time may be the standard national time currently used by the electronic device.

Optionally, the electronic device splits the system time into working time and rest time, obtains the application set corresponding to the current time according to the mapping relationship between different time and the pre-stored application set, and randomly selects the application set from the determined application set. Select the target application.

For example, the mapping relationship between time and application set may be that working time corresponds to an application set composed of applications with relatively low training intensity, and rest time corresponds to an application set composed of applications with relatively high training intensity. Assume that the current system time obtained by the electronic device is 8:00 p.m. Beijing time, which corresponds to the rest time of the user. Therefore, the electronic device can obtain a set of A applications with relatively high training intensity. The set of A applications is {English class, Sudoku class , secret room}, randomly select the A application, and select the English application as the target application, so as to train the brain intensively.

It can be seen that in this example, since the electronic equipment can be used flexibly according to the time limit, by selecting different applications, the user's brain can be trained to avoid overloading the brain caused by improper application selection, which will endanger the user's health, and is conducive to improving electronic life. The rationality and intelligence of the device for brain training.

Consistent with the above embodiment shown in FIG. 2, please refer to FIG. 3. FIG. 3 is a schematic flow chart of a brain training method provided by the embodiment of the present application, which is applied to the electronic device as shown in FIG. 1A, and is applied to the electronic device , the electronic device includes a brain wave sensor, as shown in Figure 3, the brain training method in the embodiment of the present application includes the following steps:

S301. The electronic device collects a user's brain wave signal through the brain wave sensor.

S302. The electronic device determines the left and right hemisphere laterality indices of the user based on the electroencephalogram signal.

S303. The electronic device determines a target brain region with low activity according to the laterality index of the left and right brain, and acquires a pre-stored wallpaper collection for training the target brain region.

S304. The electronic device determines the current emotion of the user based on the brain wave signal.

S305. The electronic device selects at least one wallpaper matching the current mood from the wallpaper collection.

S306. The electronic device determines that the display operation for the at least one wallpaper is the preset operation for training the user's brain.

S307. The electronic device displays the at least one wallpaper to train the user's brain.

It can be seen that in the embodiment of the present application, the electronic device collects the user's brainwave signal through the brainwave sensor, determines the left and right hemisphere index of the user based on the brainwave signal, and determines the right and left hemisphere index by analyzing the left and right hemisphere index. The activity of the left and right brains is further used to screen the wallpapers in the wallpaper collection, and then push the wallpapers to train the user's brain. It can be seen that the embodiment of the present application proposes a method for training the user's left brain and/or right brain based on electronic equipment, so as to realize the convenience and intelligence of brain training.

In addition, the electronic device first determines the user's current mood through the brainwave signal, and secondly, screens out the corresponding wallpaper set according to the left and right hemilateral index, and finally screens out at least one wallpaper that matches the mood in the wallpaper set, and the above method makes The currently pushed wallpaper can not only train the user's brain, but also match the user's current mood, thus further improving the effect of brain training.

Consistent with the above embodiment shown in FIG. 2 , please refer to FIG. 4 . FIG. 4 is a schematic flowchart of another brain training method provided by the embodiment of the present application, which is applied to the electronic device as shown in FIG. 1A . As shown in Figure 4, the brain training method in the embodiment of the present application comprises the following steps:

S401. The electronic device collects a user's brain wave signal through the brain wave sensor.

S402. The electronic device determines the left and right hemisphere laterality indices of the user based on the electroencephalogram signal.

S403. The electronic device determines a target brain region with weak activity according to the laterality index of the left and right brain, and acquires a prestored application set for training the target brain region.

S404. The electronic device acquires the current system time of the electronic device.

S405. The electronic device filters out a target application that matches the current system time from the application set.

S406. The electronic device determines that the opening operation for the target application is the preset operation for training the user's brain.

S407, the electronic device starts the target application to train the user's brain.

It can be seen that in the embodiment of the present application, considering the difference between the left and right brains of the human brain, the embodiment of the present application proposes to train the left and right brains in a targeted manner, and the electronic device collects the user's brain waves through the brain wave sensor signal, determine the left and right hemisphere index of the user based on the brain wave signal, and determine the area with low activity in the current human brain according to the left and right hemisphere index, and then screen out the application for training the area with low activity and open it The application to train the user's brain. The embodiment of the present application proposes a method for training the user's left brain and/or right brain based on electronic equipment, so as to realize the convenience and intelligence of brain training.

In addition, because electronic devices can flexibly select different applications according to different times, train the user's brain, avoiding the overload of the brain caused by improper application selection, endangering the user's health, or affecting the user's normal life due to improper application selection. Work and life, which is conducive to improving the rationality and intelligence of electronic equipment for brain training.

The foregoing mainly introduces the solutions of the embodiments of the present application from the perspective of executing the process on the method side. It can be understood that, in order to realize the above functions, the electronic device includes hardware structures and/or software modules corresponding to each function. Those skilled in the art should easily realize that the present application can be implemented in the form of hardware or a combination of hardware and computer software in combination with the units and algorithm steps of the examples described in the embodiments provided herein. Whether a certain function is executed by hardware or computer software drives hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

The embodiment of the present application may divide the electronic device into functional units according to the above 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 above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of the units in the embodiment of the present application is schematic, and is only a logical function division, and there may be other division methods in actual implementation.

Consistent with the embodiments shown in Figure 2, Figure 3, and Figure 4 above, please refer to Figure 5, Figure 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application, as shown in the figure, the electronic device includes processing A memory, a communication interface, and one or more programs, wherein 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 the user's brain wave signal through the brain wave sensor;

determining the laterality index of the left and right brain of the user based on the brain wave signal;

determining a preset operation for training the user's brain based on the left and right hemisphere indices;

The preset operations are performed to train the user's brain.

It can be seen that in the embodiment of the present application, the electronic device collects the user's brain wave signal through the brain wave sensor; determines the user's left and right hemisphere index based on the brain wave signal; The preset operation for training the user's brain; finally, the electronic device executes the preset operation to train the user's brain. The embodiment of the present application proposes a method for training the user's left brain and/or right brain based on electronic equipment, so as to realize the convenience and intelligence of brain training.

In a possible example, in terms of determining the preset operation for training the user's brain based on the left and right hemisphere indices, the instructions in the program are specifically used to perform the following operations:

Determine the target brain region with weak activity based on the left and right brain laterality index; obtain a pre-stored wallpaper collection for training the target brain region; filter out at least one wallpaper from the wallpaper collection; The display operation of at least one wallpaper is the preset operation for training the user's brain.

In a possible example, in terms of selecting at least one wallpaper from the wallpaper collection, the instructions in the program are specifically configured to perform the following operations:

Determining the current mood of the user based on the brain wave signal; and selecting at least one wallpaper matching the current mood from the wallpaper collection.

In a possible example, in terms of determining the preset operation for training the user's brain based on the left and right hemisphere indices, the instructions in the program are specifically used to perform the following operations:

Determine the target brain region with weak activity based on the left and right brain laterality index, obtain a pre-stored application set for training the target brain area; filter out the target application from the application set; determine the target application for the target The opening operation of is the preset operation for training the user's brain.

In a possible example, regarding the filtering out the target application from the application set, the instructions in the program are specifically used to perform the following operations:

Obtaining the current system time of the electronic device; screening out a target application that matches the current system time from the application set.

Fig. 6 is a block diagram of the functional units of the brain training device 600 involved in the embodiment of the present application. The brain training device 600 is applied to an electronic device, and the electronic device includes a brainwave sensor, and the brain training device 600 includes an acquisition unit 601, a determination unit 602 and an execution unit 603, wherein,

The collecting unit 601 is configured to collect the user's brain wave signal through the brain wave sensor;

The determining unit 602 is configured to determine the laterality index of the left and right brain of the user based on the brain wave signal;

The determination unit 602 is further configured to determine a preset operation for training the user's brain based on the laterality index of the left and right brain;

The executing unit 603 is configured to execute the preset operation to train the user's brain.

It can be seen that in the embodiment of the present application, the electronic device collects the user's brain wave signal through the brain wave sensor; determines the user's left and right hemisphere index based on the brain wave signal; The preset operation for training the user's brain; finally, the electronic device executes the preset operation to train the user's brain. The embodiment of the present application proposes a method for training the user's left brain and/or right brain based on electronic equipment, so as to realize the convenience and intelligence of brain training.

In a possible example, in terms of determining the preset operation for training the user's brain based on the left and right hemisphere indices, the determining unit 602 is specifically configured to:

Determine the target brain region with weak activity based on the left and right brain laterality index, obtain a pre-stored wallpaper collection for training the target brain region; filter out at least one wallpaper from the wallpaper collection; determine for the The display operation of at least one wallpaper is the preset operation for training the user's brain.

In a possible example, in terms of selecting at least one wallpaper from the wallpaper collection, the determining unit 602 is specifically configured to:

Determining the current mood of the user based on the brain wave signal; and selecting at least one wallpaper matching the current mood from the wallpaper collection.

In a possible example, in terms of determining the preset operation for training the user's brain based on the left and right hemisphere indices, the determining unit 602 is specifically configured to:

Determine the target brain area with weak activity based on the left and right brain laterality index; obtain a pre-stored application set for training the target brain area; filter out the target application from the application set; determine the target application for the target application The opening operation of is the preset operation for training the user's brain.

In a possible example, in terms of selecting a target application from the application set, the determining unit 602 is specifically configured to:

Obtaining the current system time of the electronic device; screening out a target application that matches the current system time from the application set.

An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute some or all of the steps of any method described in the above method embodiments , the above-mentioned computer includes a mobile terminal.

An embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute any one of the methods described in the above method embodiments. Some or all steps of the method. The computer program product may be a software installation package, and the above-mentioned computer includes a mobile terminal.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. Because of the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or can be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present invention. The above-mentioned memory includes: U disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), mobile hard disk, magnetic disk or optical disk, and various media capable of storing program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , a read-only memory (read-only memory, ROM), a random access device (random access memory, RAM), a magnetic disk or an optical disk, and the like.

The embodiments of the present application have been described in detail above, and specific examples have been used in this paper to illustrate the principles and implementation modes of the present invention. The descriptions of the above embodiments are only used to help understand the method of the present invention and its core idea; meanwhile, for Those skilled in the art will have changes in the specific implementation and scope of application according to the idea of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims (13)

1. An electronic device, characterized in that, comprises an electroencephalogram sensor and a control circuit, wherein, The brain wave sensor is used to collect the user's brain wave signal; The control circuit is used to determine the left and right brain laterality index of the user based on the brain wave signal; determine a preset operation for training the user's brain based on the left and right brain laterality index; perform the preset operation to train the user's brain. 2. The electronic device according to claim 1, wherein, in terms of determining the preset operation for training the user's brain based on the left and right hemilateral indices, the control circuit is specifically used for: Determine the target brain region with weak activity based on the left and right brain laterality index; obtain a pre-stored wallpaper collection for training the target brain region; filter out at least one wallpaper from the wallpaper collection; The display operation of at least one wallpaper is the preset operation for training the user's brain. 3. The electronic device according to claim 2, wherein, in terms of selecting at least one wallpaper from the wallpaper collection, the control circuit is specifically used for: Determining the current mood of the user based on the brain wave signal; and selecting at least one wallpaper matching the current mood from the wallpaper collection. 4. The electronic device according to claim 1, wherein, in terms of determining the preset operation for training the user's brain based on the left and right hemilateral indices, the control circuit is specifically used for: Determine the target brain region with weak activity based on the left and right brain laterality index, obtain a pre-stored application set for training the target brain area; filter out the target application from the application set; determine the target application for the target The opening operation of is the preset operation for training the user's brain. 5. The electronic device according to claim 4, characterized in that, in terms of selecting the target application from the application set, the control circuit is specifically configured to: Obtaining the current system time of the electronic device; screening out a target application that matches the current system time from the application set. 6. A brain training method, characterized in that being applied to an electronic device, the electronic device comprising a brainwave sensor, the method comprising: collecting the user's brain wave signal through the brain wave sensor; determining the laterality index of the left and right brain of the user based on the brain wave signal; determining a preset operation for training the user's brain based on the left and right hemisphere indices; The preset operations are performed to train the user's brain. 7. The method according to claim 6, wherein the determination of the preset operation for training the user's brain based on the left and right brain laterality index includes: determining a target brain region with less activity based on the left and right brain laterality index; obtaining a pre-stored collection of wallpapers for training said target brain region; selecting at least one wallpaper from the wallpaper collection; It is determined that the display operation for the at least one wallpaper is the preset operation for training the user's brain. 8. The method according to claim 7, wherein the screening out at least one wallpaper from the wallpaper collection comprises: determining the current mood of the user based on the brain wave signal; At least one wallpaper matching the current mood is selected from the wallpaper collection. 9. The method according to claim 6, wherein the determination of the preset operation for training the user's brain based on the left and right brain laterality index includes: Determining a target brain region with weak activity based on the left and right brain laterality index, and obtaining a prestored application set for training the target brain region; Screen out a target application from the application set; It is determined that the opening operation for the target application is the preset operation for training the user's brain. 10. The method according to claim 9, wherein the screening out the target application from the application set comprises: Obtain the current system time of the electronic device; A target application matching the current system time is selected from the application set. 11. A brain training device, characterized in that it is applied to electronic equipment, the electronic equipment includes a brain wave sensor, and the brain training device includes an acquisition unit, a determination unit and an execution unit, wherein, The collecting unit is used to collect the user's brain wave signal through the brain wave sensor; The determining unit is configured to determine the left and right brain laterality index of the user based on the brain wave signal; The determination unit is further configured to determine a preset operation for training the user's brain based on the laterality index of the left and right hemispheres; The executing unit is configured to execute the preset operation to train the user's brain. 12. An electronic device, comprising a processor, a memory, a communication interface, and one or more programs, the one or more programs being stored in the memory and configured by the processor Execution, the program includes instructions for executing the steps in the method according to any one of claims 6-10. 13. A computer-readable storage medium, characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to any one of claims 6-10.