CN108334202B - Wallpaper updating method and related product - Google Patents

Abstract

The embodiment of the application discloses a wallpaper updating method and a related product, wherein the method comprises the following steps: the electronic equipment acquires brain wave signals of a user through a brain wave sensor; determining user parameters of the user based on the collected brain wave signals, wherein the user parameters are used for describing the emotion and/or fatigue of the user; and updating the wallpaper currently displayed by the electronic equipment according to the user parameters. The wallpaper updating method and device are beneficial to improving convenience and intelligence of wallpaper updating.

Description

Wallpaper update method and related products

technical field

The present application relates to the technical field of electronic equipment, in particular to a method for updating wallpaper and related products.

Background technique

With the widespread application of mobile terminals such as smart phones, smart phones can support more and more applications, and their functions are becoming more and more powerful. Smart phones are developing in the direction of diversification and personalization, becoming an indispensable electronic product in users' lives. . The user usually interacts with the electronic device through finger touch, voice input, etc., and controls the electronic device to complete various functions.

There are usually elements such as wallpapers, icons, and plug-ins on the desktop of electronic devices, and users can manually set locally stored pictures as wallpapers to meet personalized needs.

SUMMARY OF THE INVENTION

The embodiments of the present application provide a wallpaper update method and related products, so as to improve the accuracy and intelligence of wallpaper update.

In a first aspect, an 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 configured to determine user parameters of the user based on the collected brainwave signals, where the user parameters are used to describe the user's mood and/or fatigue; The wallpaper is updated.

In a second aspect, an embodiment of the present application provides a method for updating a wallpaper, which is applied to an electronic device, where the electronic device includes a brain wave sensor, and the method includes:

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

determining user parameters of the user based on the collected brainwave signals, the user parameters being used to describe the user's mood and/or fatigue;

The wallpaper currently displayed by the electronic device is updated according to the user parameter.

In a third aspect, an embodiment of the present application provides a wallpaper update device, including application to electronic equipment, the electronic device includes a brain wave sensor, and the wallpaper update device includes a collection unit, a determination unit, and an update unit, wherein,

the collection unit, configured to collect the brain wave signal of the user through the brain wave sensor;

the determining unit, configured to determine a user parameter of the user based on the collected brain wave signal, where the user parameter is used to describe the user's mood and/or fatigue;

The updating unit is configured to update the wallpaper currently displayed by the electronic device according to the user parameter.

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-mentioned processing The above program includes instructions for executing steps in any method in the second aspect of the embodiments of the present application.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the computer program as described in the first embodiment of the present application. Some or all of the steps described in either method of the second aspect.

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 cause a computer to execute as implemented in the present application. Examples include 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, and determines the user's user parameter based on the collected brain wave signal, wherein the user parameter is used to describe the user's emotion and/or fatigue level, and finally the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. Since the update of the wallpaper is determined according to the user's brain wave signal, that is to say, as long as the user is close to the electronic device, the electronic device can collect the user's brain wave signal, and then update the wallpaper. The whole process does not require the user's finger touch operation, reducing User operation is beneficial to improve the convenience and intelligence of wallpaper update.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for the present application. In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to 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 a brain wave sensor provided by an embodiment of the present application;

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

1D is a schematic structural diagram of another brain wave sensor provided by an embodiment of the present application;

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

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

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

2A is a schematic flowchart of a method for updating a wallpaper provided by an embodiment of the present application;

FIG. 2B is an example EEG provided by an embodiment of the present application;

3 is a schematic flowchart of another method for updating wallpaper provided by an embodiment of the present application;

4 is a schematic flowchart of another method for updating wallpaper provided by an embodiment of the present application;

5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

FIG. 6 is a block diagram of functional units of a wallpaper updating apparatus provided by an embodiment of the present application.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work 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 the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover 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 also includes For other steps or units inherent to 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 appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may 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). 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 embodiments of the present application will be described in detail below.

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 casing 110 , a brain wave sensor 120 disposed in the casing, a display screen 130 , a The camera 140, the control circuit 150, the radio frequency system 160, 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 configured to determine user parameters of the user based on the collected brainwave signals, where the user parameters are used to describe the user's mood and/or fatigue; wallpapers are updated.

Among them, the brain wave sensor 120 may also be called a brain wave chip, a brain wave receiver, etc. The brain wave sensor 120 is integrated in the electronic device, has a dedicated signal processing circuit, and is connected to the processor of the electronic device. According to the type of the collected signal It can be divided into current brain wave sensor 120 and electromagnetic brain wave sensor 120. The current brain wave sensor 120 collects the biological current generated by the cerebral cortex, and the electromagnetic brain wave sensor 120 collects the electromagnetic waves radiated during human brain activity. It can be understood that, the specific form of the brain wave sensor 120 can be various, which is not limited here.

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 human brain activity, and the signal processing module performs denoising, filtering and other processing on the electromagnetic wave signals. , and finally form a reference brain wave signal and send it to the processor for processing.

For another example, as shown in FIGS. 1C and 1D , the brain wave sensor 120 may include a wearable signal collector, and the wearable signal collector may be accommodated in the receiving cavity of the rear case 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 (wireless connection corresponds to the wearable signal collector integrated with a wireless communication module to communicate with the local end of the electronic device).

For another example, as shown in FIGS. 1E to 1G , the brain wave sensor 120 may include an electrode array and a signal processing module, wherein the electronic array is embedded in the scalp to capture the electrical signals of neurons, and the structure of the electrode part is needle-like. In the whole column, 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, an interface circuit, and the like.

Among them, 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, using various interfaces and lines to connect various parts of the entire electronic device, by running or executing the software programs stored in the memory and and/or modules, and call the data stored in the memory, perform 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 handles the operating system, user interface and application programs, etc., and the baseband processor mainly handles wireless communication. It can be understood that, the above-mentioned baseband processor 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 running 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 and the like created according to the use of the electronic device. Additionally, 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 can 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, so as to reduce 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, and determines the user's user parameter based on the collected brain wave signal, wherein the user parameter is used to describe the user's emotion and/or fatigue level, and finally the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. Since the update of the wallpaper is determined according to the user's brain wave signal, that is to say, as long as the user is close to the electronic device, the electronic device can collect the user's brain wave signal, and then update the wallpaper. The whole process does not require the user's finger touch operation, reducing User operation is beneficial to improve the convenience and intelligence of wallpaper update.

In a possible example, the memory 170 is used to store the first database;

In the aspect of updating the wallpaper currently displayed by the electronic device according to the user parameter, the control circuit 150 is specifically used for:

query a first database to determine a target user parameter set that matches the user parameter in the first database, the first database includes at least one user parameter set, and the mapping relationship between the user parameter set and the wallpaper color parameters; obtain all The target wallpaper color parameter corresponding to the target user parameter set; the color of the currently displayed wallpaper is adjusted to the color corresponding to the target wallpaper color parameter, so as to update the wallpaper currently displayed by the electronic device.

Wherein, the mapping relationship between the user parameters and the wallpaper color parameters in the first database may be many-to-one, one-to-one, etc., which is not uniquely limited here.

In a possible example, in the aspect of updating the wallpaper currently displayed by the electronic device according to the user parameter, the control circuit 150 is specifically configured to:

Query the second database to obtain the target wallpaper category corresponding to the user parameter, the second database includes multiple wallpaper categories, each wallpaper category includes multiple wallpapers, and the second database also includes the wallpaper category and the user parameter. The mapping relationship between the two; obtaining the target wallpaper under the target wallpaper category; and adjusting the currently displayed wallpaper to the target wallpaper, so as to update the wallpaper currently displayed by the electronic device.

Wherein, the second database may be stored in the memory 170 of the electronic device.

In a possible example, the control circuit 150 is also used for:

Acquire at least one wallpaper whose display times are greater than a preset threshold within a preset time period, and a wallpaper category corresponding to the at least one wallpaper; obtain a user's reference determined by the electronic device when the electronic device displays the at least one wallpaper User parameters; establish a mapping relationship between the wallpaper category corresponding to the at least one wallpaper and the reference user parameter, and add the mapping relationship to the second database.

In a possible example, in the aspect of determining the user parameter of the user based on the collected brain wave signal, the control circuit 150 is specifically configured to:

Generate an electroencephalogram of the user based on the electroencephalogram signal; determine a waveform characteristic period in the electroencephalogram; divide the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform characteristic period; acquire an electroencephalogram A plurality of EEG templates that match the plurality of segmented EEGs one by one in the image template library; obtain the user parameters corresponding to the plurality of EEG templates; determine the user parameter with the highest frequency as the User parameters.

Please refer to FIG. 2A . FIG. 2A is a schematic flowchart of a method for updating a wallpaper provided by an embodiment of the present application, which is applied to the electronic device as shown in FIG. 1A , and is applied to the electronic device. As shown, this wallpaper update method includes:

S201, the electronic device collects the brain wave signal of the user through the brain wave sensor.

S202, the electronic device determines a user parameter of the user based on the collected brain wave signal, where the user parameter is used to describe the user's emotion and/or fatigue.

The emotions in the user parameters may include any of the following: anger, happiness, depression, etc., which are not limited here.

S203, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter.

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

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, and determines the user's user parameter based on the collected brain wave signal, wherein the user parameter is used to describe the user's emotion and/or fatigue level, and finally the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. Since the update of the wallpaper is determined according to the user's brain wave signal, that is to say, as long as the user is close to the electronic device, the electronic device can collect the user's brain wave signal, and then update the wallpaper. The whole process does not require the user's finger touch operation, reducing User operation is beneficial to improve the convenience and intelligence of wallpaper update.

In a possible example, a specific implementation manner for the electronic device to update the wallpaper currently displayed by the electronic device according to the user parameter may be:

The electronic device queries a first database to determine a target user parameter set matching the user parameters in the first database, the first database includes at least one user parameter set, and a mapping between the user parameter set and the wallpaper color parameter obtaining the target wallpaper color parameter corresponding to the target user parameter set; adjusting the color of the currently displayed wallpaper to the color corresponding to the target wallpaper color parameter, so as to update the wallpaper currently displayed by the electronic device.

Wherein, the mapping relationship between the user parameters and the wallpaper color parameters in the first database may be many-to-one, one-to-one, etc., which is not uniquely limited here.

Optionally, the electronic device may obtain user parameters to determine the user's current emotion, and determine the wallpaper color corresponding to the user's current emotion according to the mapping relationship between preset emotions and wallpaper color parameters.

Optionally, the electronic device can also determine the user's current emotion according to user parameters, and determine the emotion set to which the user's current emotion belongs. The mapping relationship between them is obtained, and the wallpaper color corresponding to the current emotion set is obtained, and the wallpaper color is the wallpaper color corresponding to the user's current emotion.

For example, assuming that the set A is {happy, excited, excited, happy}, the electronic device determines that the user's current emotion is happy through the collected brain waves, and queries the first database to obtain the set A corresponding to the happy. The color of the wallpaper corresponding to the current user emotion is red, and the color of the currently displayed wallpaper is green, so update it to red, and finally, in the display interface, the color of the wallpaper is red.

It can be seen that in this example, since the electronic device can determine the user's emotions according to the user parameters, and further matches the wallpaper color in the database through emotions, and then updates the wallpaper, it can cater to the user's mood and relieve emotions to a certain extent, and improve the electronic device. Smart and accurate when updating wallpapers.

In a possible example, a specific implementation manner for the electronic device to update the wallpaper currently displayed by the electronic device according to the user parameter may be:

The electronic device queries the second database to obtain the target wallpaper category corresponding to the user parameter, the second database includes multiple wallpaper categories, each wallpaper category includes multiple wallpapers, and the second database also includes wallpaper categories and user parameters; obtain the target wallpaper under the target wallpaper category; adjust the currently displayed wallpaper to the target wallpaper, so as to update the wallpaper currently displayed by the electronic device.

Among them, the wallpaper categories may include: cartoon animation, minimalism, static scenery, funny, relaxing, etc., which are not uniquely limited here.

The mapping relationship between wallpaper categories and user parameters may be many-to-one or one-to-one, which is not uniquely limited here.

Optionally, the electronic device may collect multiple user parameters of multiple users within a historical period, and store the mapping relationship between multiple user parameters of multiple users and wallpaper categories in the second database, and then determine the wallpaper category of the current emotion. After that, select the target wallpaper and update the currently displayed wallpaper.

Optionally, the electronic device can also store multiple user parameters of the user of the electronic device in the historical period, and store the mapping relationship between the multiple user parameters of the user and the wallpaper category in the second database, after determining the wallpaper category of the current emotion. , select the target wallpaper, and update the currently displayed wallpaper.

In one embodiment, the electronic device determines that the current mood is depression through the collected brain waves, and queries the second database to obtain a wallpaper category corresponding to depression as a funny category, wherein the funny category includes a, b, c, and d. A wallpaper is queried for historical data, and the user has viewed a wallpaper 10 times, b wallpaper 5 times, c wallpaper 6 times, and d wallpaper 3 times, then select the most viewed a wallpaper as The wallpaper corresponding to the current user emotion, and finally, in the display interface, the wallpaper is updated to a wallpaper.

It can be seen that in this example, the electronic device can obtain the target wallpaper corresponding to the user parameters through big data analysis, and can also obtain the target wallpaper corresponding to the user parameters through the usage habits of the electronic device. Mood and soothing, improving the intelligence and accuracy of electronic devices when updating wallpapers.

In a possible example, the method further includes: acquiring, by the electronic device, at least one wallpaper whose display times are greater than a preset threshold within a preset time period, and a wallpaper category corresponding to the at least one wallpaper; acquiring the electronic device the reference user parameter of the user determined by the electronic device when the at least one wallpaper is displayed; establish a mapping relationship between the wallpaper category corresponding to the at least one wallpaper and the reference user parameter, and add the mapping relationship to the first Two databases.

The preset threshold may be 10 times, 15 times, 20 times, etc., which is not uniquely limited here.

It can be seen that in this example, the electronic device can establish a new mapping relationship between wallpaper and user parameters based on the user's habits, and add the new mapping relationship to the second database, further enriching the data in the second database, which is conducive to increasing The certainty and intelligence of electronic devices in screening target wallpapers.

In a possible example, the electronic device determines user parameters of the user based on the collected brain wave signals, including: the electronic device generates an EEG of the user based on the brain wave signals; determining the EEG The waveform characteristic period in the figure; based on the waveform characteristic period, the EEG is divided into multiple segmented EEGs; the EEG template library is obtained that matches the multiple segmented EEGs one by one. multiple EEG templates; acquiring user parameters corresponding to the multiple EEG templates; and determining the user parameter with the highest frequency of occurrence as the user parameter.

For example, as shown in FIG. 2B , assuming that the EEG currently collected by the electronic device includes 100 waveform characteristic periods, the current EEG can be split according to the waveform characteristic period, and divided into at least 5 points. Segment EEG, segmented EEG 1, segmented EEG 2, segmented EEG 3, segmented EEG 4, segmented EEG 5, where each segmented EEG Occupies 20 characteristic periods, specifically, segmented EEG 1 corresponds to waveform characteristic periods 1-20, segmented EEG 2 corresponds to waveform characteristic periods 21-40, and segmented EEG 3 corresponds to waveform characteristic periods 41-60 , segmented EEG 4 corresponds to waveform characteristic period 61-80, segmented EEG 5 corresponds to waveform characteristic period 81-100, respectively compare each segmented EEG with the EEG template library, and each segment Each segment EEG corresponds to an EEG template with the highest matching degree.

It can be seen that, in this example, considering the volatility of the human brain, the electronic device divides the EEG into multiple segmented EEGs based on the waveform characteristic period of the user's current EEG, and for each segmented EEG The EEG template corresponding to each segmented EEG is obtained, and then the user parameter corresponding to each EEG template is obtained, and the user parameter with the highest frequency of occurrence of the user parameter is determined as the current brain. The user parameters corresponding to the EEG, so that the part of the EEG corresponding to the abnormal brain wave signal generated by the fluctuation of the human brain can be eliminated in time, so as to avoid the abnormal fluctuation of the part of the EEG affecting the matching results, which is conducive to improving the accuracy of wallpaper update. Spend.

Consistent with the embodiment shown in FIG. 2A above, please refer to FIG. 3 . FIG. 3 is a schematic flowchart of a method for updating wallpaper provided by an 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 the figure, the wallpaper update method includes:

S301, the electronic device collects the brain wave signal of the user through the brain wave sensor.

S302, the electronic device determines a user parameter of the user based on the collected brain wave signal.

S303, the electronic device queries a first database, and determines a target user parameter set matching the user parameter in the first database.

S304, the electronic device acquires the target wallpaper color parameter corresponding to the target user parameter set.

S305, the electronic device adjusts the color of the currently displayed wallpaper to a color corresponding to the color parameter of the target wallpaper, so as to update the wallpaper currently displayed by the electronic device.

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, and determines the user's user parameter based on the collected brain wave signal, wherein the user parameter is used to describe the user's emotion and/or fatigue level, and finally the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. Since the update of the wallpaper is determined according to the user's brain wave signal, that is to say, as long as the user is close to the electronic device, the electronic device can collect the user's brain wave signal, and then update the wallpaper. The whole process does not require the user's finger touch operation, reducing User operation is beneficial to improve the convenience and intelligence of wallpaper update.

In addition, since the electronic device can determine the user's emotions according to user parameters, and further matches the wallpaper color in the database through emotions, and then updates the wallpaper, it can cater to the user's mood and relieve the user's emotions to a certain extent, which improves the electronic device's ability to update the wallpaper. intelligence and accuracy.

Consistent with the embodiment shown in FIG. 2A , please refer to FIG. 4 . FIG. 4 is a schematic flowchart of a method for updating wallpaper provided by an embodiment of the present application, which is applied to the electronic device shown in FIG. 1A . As shown in the figure, this wallpaper update method includes:

S401, the electronic device collects the brain wave signal of the user through the brain wave sensor.

S402, the electronic device generates an electroencephalogram of the user based on the electroencephalogram signal.

S403, the electronic device determines the waveform characteristic period in the EEG.

S404, the electronic device divides the EEG into a plurality of segmented EEGs based on the waveform characteristic period.

S405, the electronic device acquires a plurality of EEG templates in the EEG template library that match the plurality of segmented EEGs one by one.

S406, the electronic device acquires user parameters corresponding to the multiple EEG templates.

S407, the electronic device determines the user parameter with the highest frequency of occurrence as the user parameter.

S408, the electronic device queries the second database to obtain the target wallpaper category corresponding to the user parameter.

S409, the electronic device acquires the target wallpaper under the target wallpaper category.

S4010, the electronic device adjusts the currently displayed wallpaper to the target wallpaper, so as to update the wallpaper currently displayed by the electronic device.

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, and determines the user's user parameter based on the collected brain wave signal, wherein the user parameter is used to describe the user's emotion and/or fatigue level, and finally the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. Since the update of the wallpaper is determined according to the user's brain wave signal, that is to say, as long as the user is close to the electronic device, the electronic device can collect the user's brain wave signal, and then update the wallpaper. The whole process does not require the user's finger touch operation, reducing User operation is beneficial to improve the convenience and intelligence of wallpaper update.

In addition, the electronic device pre-stores the mapping relationship between wallpaper categories and user parameters, which can cater to the user's mood and soothe emotions to a certain extent, and improve the intelligence and accuracy of the electronic device when updating the wallpaper.

In addition, considering the volatility of the human brain, the electronic device divides the EEG into multiple segmented EEGs based on the waveform characteristic period of the user's current EEG, and performs template comparison for each segmented EEG. Yes, after obtaining the EEG template corresponding to each segmented EEG, and then obtaining the user parameters corresponding to each EEG template, the user parameter with the highest frequency of occurrence of the user parameter is determined as the corresponding EEG of the current EEG. User parameters, so that the part of the EEG corresponding to the abnormal brain wave signal generated by the fluctuation of the human brain can be eliminated in time, so as to avoid the part of the EEG with abnormal fluctuation from affecting the matching results, which is conducive to improving the accuracy of wallpaper update.

Consistent with the embodiments shown in FIG. 2A , FIG. 3 , and FIG. 4 above, please refer to FIG. 5 . FIG. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in FIG. 5 , the electronic device includes A processor, 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, the program comprising instructions for performing the following steps;

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

determining user parameters of the user based on the collected brainwave signals, the user parameters being used to describe the user's mood and/or fatigue;

The wallpaper currently displayed by the electronic device is updated according to the user parameter.

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, and determines the user's user parameter based on the collected brain wave signal, wherein the user parameter is used to describe the user's emotion and/or fatigue level, and finally the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. Since the update of the wallpaper is determined according to the user's brain wave signal, that is to say, as long as the user is close to the electronic device, the electronic device can collect the user's brain wave signal, and then update the wallpaper. The whole process does not require the user's finger touch operation, reducing User operation is beneficial to improve the convenience and intelligence of wallpaper update.

In a possible example, in the aspect of updating the wallpaper currently displayed by the electronic device according to the user parameter, the instructions in the program are specifically used to perform the following operations:

query a first database to determine a target user parameter set that matches the user parameter in the first database, the first database includes at least one user parameter set, and the mapping relationship between the user parameter set and the wallpaper color parameters; obtain all The target wallpaper color parameter corresponding to the target user parameter set; the color of the currently displayed wallpaper is adjusted to the color corresponding to the target wallpaper color parameter, so as to update the wallpaper currently displayed by the electronic device.

In a possible example, in the aspect of updating the wallpaper currently displayed by the electronic device according to the user parameter, the instructions in the program are specifically used to perform the following operations:

Query the second database to obtain the target wallpaper category corresponding to the user parameter, the second database includes multiple wallpaper categories, each wallpaper category includes multiple wallpapers, and the second database also includes the wallpaper category and the user parameter. The mapping relationship between the two; obtaining the target wallpaper under the target wallpaper category; and adjusting the currently displayed wallpaper to the target wallpaper, so as to update the wallpaper currently displayed by the electronic device.

In one possible example, the program further includes instructions for performing the following operations:

Acquire at least one wallpaper whose display times are greater than a preset threshold within a preset time period, and a wallpaper category corresponding to the at least one wallpaper; obtain a user's reference determined by the electronic device when the electronic device displays the at least one wallpaper User parameters; establish a mapping relationship between the wallpaper category corresponding to the at least one wallpaper and the reference user parameter, and add the mapping relationship to the second database.

In a possible example, in the aspect of determining the user parameters of the user based on the collected brain wave signals, the instructions in the program are specifically used to perform the following operations:

Generate an electroencephalogram of the user based on the electroencephalogram signal; determine a waveform characteristic period in the electroencephalogram; divide the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform characteristic period; acquire an electroencephalogram A plurality of EEG templates that match the plurality of segmented EEGs one by one in the image template library; obtain the user parameters corresponding to the plurality of EEG templates; determine the user parameter with the highest frequency as the User parameters.

The foregoing mainly introduces the solutions of the embodiments of the present application from the perspective of the method-side execution process. It can be understood that, in order to realize the above-mentioned functions, the electronic device includes corresponding hardware structures and/or software modules for executing each function. Those skilled in the art should easily realize that the present application can be implemented in hardware or in the form of a combination of hardware and computer software, in combination with the units and algorithm steps of each example described in the embodiments provided herein. Whether a function is performed by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

In this embodiment of the present application, the electronic device may be divided into functional units according to the foregoing method examples. 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 may be implemented in the form of hardware, or may be implemented in the form of software functional units. It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division, and other division methods may be used in actual implementation.

FIG. 6 is a block diagram of functional units of the wallpaper updating apparatus 600 involved in the embodiment of the present application. The wallpaper updating device 600 is applied to electronic equipment, the electronic device includes a brain wave sensor, the wallpaper updating device 600 includes a collection unit 601, a determination unit 602 and an update unit 603, wherein,

The collection 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 a user parameter of the user based on the collected brain wave signal, where the user parameter is used to describe the user's mood and/or fatigue;

The updating unit 603 is configured to update the wallpaper currently displayed by the electronic device according to the user parameter.

It can be seen that, in the embodiment of the present application, the wallpaper updating device collects the brain wave signal of the user through the brain wave sensor, and determines the user parameter of the user based on the collected brain wave signal, wherein the user parameter is used to describe the user's brain wave signal. mood and/or fatigue, and finally the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. Since the update of the wallpaper is determined according to the user's brain wave signal, that is to say, as long as the user is close to the electronic device, the electronic device can collect the user's brain wave signal, and then update the wallpaper. The whole process does not require the user's finger touch operation, reducing User operation is beneficial to improve the convenience and intelligence of wallpaper update.

In a possible example, in the aspect of updating the wallpaper currently displayed by the electronic device according to the user parameter, the updating unit 603 is specifically configured to:

query a first database to determine a target user parameter set that matches the user parameter in the first database, the first database includes at least one user parameter set, and the mapping relationship between the user parameter set and the wallpaper color parameters; obtain all The target wallpaper color parameter corresponding to the target user parameter set; the color of the currently displayed wallpaper is adjusted to the color corresponding to the target wallpaper color parameter, so as to update the wallpaper currently displayed by the electronic device.

In a possible example, in the aspect of updating the wallpaper currently displayed by the electronic device according to the user parameter, the updating unit 603 is specifically configured to:

Query the second database to obtain the target wallpaper category corresponding to the user parameter, the second database includes multiple wallpaper categories, each wallpaper category includes multiple wallpapers, and the second database also includes the wallpaper category and the user parameter. The mapping relationship between the two; obtaining the target wallpaper under the target wallpaper category; and adjusting the currently displayed wallpaper to the target wallpaper, so as to update the wallpaper currently displayed by the electronic device.

In a possible example, the updating unit 603 is further configured to:

Acquire at least one wallpaper whose display times are greater than a preset threshold within a preset time period, and a wallpaper category corresponding to the at least one wallpaper; obtain a user's reference determined by the electronic device when the electronic device displays the at least one wallpaper User parameters; establish a mapping relationship between the wallpaper category corresponding to the at least one wallpaper and the reference user parameter, and add the mapping relationship to the second database.

In a possible example, in the aspect of determining the user parameter of the user based on the collected brain wave signal, the determining unit 602 is specifically configured to:

Generate an electroencephalogram of the user based on the electroencephalogram signal; determine a waveform characteristic period in the electroencephalogram; divide the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform characteristic period; acquire an electroencephalogram A plurality of EEG templates that match the plurality of segmented EEGs one by one in the image template library; obtain the user parameters corresponding to the plurality of EEG templates; determine the user parameter with the highest frequency as the User parameters.

Embodiments of the present application further provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program causes the computer to execute part or all of the steps of any method described in the above method embodiments , the above computer includes a mobile terminal.

Embodiments of the present application further provide a computer program product, where 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 execute any one of the method embodiments described above. some or all of the 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 sake of simple description, the foregoing method embodiments are all 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. As in accordance with 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 are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the above-mentioned embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

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

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

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

The integrated unit, if implemented as 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 is essentially 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 cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

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

The embodiments of the present application have been introduced in detail above, and specific examples are used to illustrate the principles and implementations of the present invention. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present invention; at the same time, for Persons of ordinary skill in the art, according to the idea of the present invention, will have changes in the specific embodiments and application scope. To sum up, the contents of this specification should not be construed as limiting the present invention.

Claims (11)

1. An electronic apparatus comprising a memory, a brain wave sensor and a control circuit, wherein,

the memory is used for storing a first database;

the brain wave sensor is used for collecting brain wave signals of a user;

the control circuit is used for determining user parameters of the user based on the collected brain wave signals, and the user parameters are used for describing the emotion of the user; updating the wallpaper currently displayed by the electronic equipment according to the user parameters; the updating the wallpaper currently displayed by the electronic equipment according to the user parameter comprises: determining the current emotion of the user according to the user parameters, determining emotion sets to which the current emotion of the user belongs, wherein each emotion set can contain a plurality of emotions with similar types, and obtaining the wallpaper color corresponding to the current emotion set according to the mapping relation between the preset emotion set and the wallpaper color; querying a first database, and determining a target user parameter set matched with the user parameters in the first database, wherein the first database comprises at least one user parameter set and a mapping relation between the user parameter set and wallpaper color parameters; acquiring target wallpaper color parameters corresponding to the target user parameter set; and adjusting the color of the currently displayed wallpaper to the color corresponding to the target wallpaper color parameter so as to update the currently displayed wallpaper of the electronic equipment.

2. The electronic device of claim 1, wherein, in said updating the wallpaper currently displayed by the electronic device according to the user parameter, the control circuitry is specifically configured to:

querying a second database to obtain a target wallpaper category corresponding to the user parameter, wherein the second database comprises a plurality of wallpaper categories, each wallpaper category comprises a plurality of wallpapers, and the second database further comprises a mapping relation between the wallpaper category and the user parameter; acquiring target wallpaper under the target wallpaper category; and adjusting the currently displayed wallpaper to the target wallpaper so as to update the currently displayed wallpaper of the electronic equipment.

3. The electronic device of claim 2, wherein the control circuit is further configured to: acquiring at least one piece of wallpaper with the display frequency larger than a preset threshold value in a preset time period and a wallpaper type corresponding to the at least one piece of wallpaper; acquiring a reference user parameter of a user determined by the electronic equipment when the electronic equipment displays the at least one piece of wallpaper; and establishing a mapping relation between the wallpaper type corresponding to the at least one piece of wallpaper and the reference user parameter, and adding the mapping relation to the second database.

4. The electronic device according to any one of claims 1 to 3, wherein, in said determining a user parameter of the user based on the acquired brain wave signals, the control circuit is specifically configured to:

generating an electroencephalogram of a user based on the brain wave signals; determining a waveform feature period in the electroencephalogram; dividing the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform feature periods; acquiring a plurality of electroencephalogram templates which are matched with the segmented electroencephalograms one by one in an electroencephalogram template library; acquiring user parameters corresponding to the electroencephalogram templates; and determining the user parameter with the highest occurrence frequency as the user parameter.

5. A wallpaper updating method is applied to an electronic device, the electronic device comprises a brain wave sensor, and the method comprises the following steps:

collecting brain wave signals of a user through the brain wave sensor;

determining user parameters of the user based on the collected brain wave signals, wherein the user parameters are used for describing the emotion of the user;

updating the wallpaper currently displayed by the electronic equipment according to the user parameters; the updating the wallpaper currently displayed by the electronic equipment according to the user parameter comprises: determining the current emotion of the user according to the user parameters, determining emotion sets to which the current emotion of the user belongs, wherein each emotion set can contain a plurality of emotions with similar types, and obtaining the wallpaper color corresponding to the current emotion set according to the mapping relation between the preset emotion set and the wallpaper color; querying a first database, and determining a target user parameter set matched with the user parameters in the first database, wherein the first database comprises at least one user parameter set and a mapping relation between the user parameter set and wallpaper color parameters; acquiring target wallpaper color parameters corresponding to the target user parameter set; and adjusting the color of the currently displayed wallpaper to the color corresponding to the target wallpaper color parameter so as to update the currently displayed wallpaper of the electronic equipment.

6. The method as claimed in claim 5, wherein the updating the wallpaper currently displayed by the electronic device according to the user parameter comprises:

querying a second database to obtain a target wallpaper category corresponding to the user parameter, wherein the second database comprises a plurality of wallpaper categories, each wallpaper category comprises a plurality of wallpapers, and the second database further comprises a mapping relation between the wallpaper category and the user parameter;

acquiring target wallpaper under the target wallpaper category;

and adjusting the currently displayed wallpaper to the target wallpaper so as to update the currently displayed wallpaper of the electronic equipment.

7. The method of claim 6, further comprising:

acquiring at least one piece of wallpaper with the display frequency larger than a preset threshold value in a preset time period and a wallpaper type corresponding to the at least one piece of wallpaper;

acquiring a reference user parameter of a user determined by the electronic equipment when the electronic equipment displays the at least one piece of wallpaper;

and establishing a mapping relation between the wallpaper type corresponding to the at least one piece of wallpaper and the reference user parameter, and adding the mapping relation to the second database.

8. The method according to any one of claims 5 to 7, wherein the determining user parameters of the user based on the acquired brain wave signals comprises:

generating an electroencephalogram of a user based on the brain wave signals;

determining a waveform feature period in the electroencephalogram;

dividing the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform feature periods;

acquiring a plurality of electroencephalogram templates which are matched with the segmented electroencephalograms one by one in an electroencephalogram template library;

acquiring user parameters corresponding to the electroencephalogram templates;

and determining the user parameter with the highest occurrence frequency as the user parameter.

9. A wallpaper updating device is characterized by being applied to electronic equipment, the electronic equipment comprises a brain wave sensor, the wallpaper updating device comprises a collecting unit, a determining unit and an updating 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 user parameters of the user based on the collected brain wave signals, and the user parameters are used for describing the emotion of the user;

the updating unit is used for determining the current emotion of the user according to the user parameters and determining emotion sets to which the current emotion of the user belongs, each emotion set can contain a plurality of emotions with similar types, and the wallpaper color corresponding to the current emotion set is obtained according to the mapping relation between the preset emotion set and the wallpaper color; the updating the wallpaper currently displayed by the electronic equipment according to the user parameter comprises: querying a first database, and determining a target user parameter set matched with the user parameters in the first database, wherein the first database comprises at least one user parameter set and a mapping relation between the user parameter set and wallpaper color parameters; acquiring target wallpaper color parameters corresponding to the target user parameter set; and adjusting the color of the currently displayed wallpaper to the color corresponding to the target wallpaper color parameter so as to update the currently displayed wallpaper of the electronic equipment.

10. 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 5-8.

11. 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 5-8.

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