CN108334202B - Wallpaper updating method and related product - Google Patents

Wallpaper updating method and related product Download PDF

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Publication number
CN108334202B
CN108334202B CN201810164862.6A CN201810164862A CN108334202B CN 108334202 B CN108334202 B CN 108334202B CN 201810164862 A CN201810164862 A CN 201810164862A CN 108334202 B CN108334202 B CN 108334202B
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Prior art keywords
wallpaper
user
brain wave
parameters
electronic equipment
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CN201810164862.6A
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CN108334202A (en
Inventor
张海平
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
    • G06F2203/01—Indexing scheme relating to G06F3/01
    • G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns

Abstract

The embodiment of the application discloses a 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 updating method and related product
Technical Field
The application relates to the technical field of electronic equipment, in particular to a wallpaper updating method and a related product.
Background
With the widespread application of mobile terminals such as smart phones, smart phones can support more and more applications and have more and more powerful functions, and smart phones develop towards diversification and personalization directions and become indispensable electronic products in user life. Users usually interact with the electronic device through finger touch, voice input, and other forms to control the electronic device to complete various functions.
The desktop of the electronic device is usually provided with elements such as wallpaper, icons and plug-ins, and a user can manually set a locally stored picture as the wallpaper so as to meet personalized requirements.
Disclosure of Invention
The embodiment of the application provides a wallpaper updating method and a related product, so as to improve the accuracy and intelligence of wallpaper updating.
In a first aspect, embodiments of the present application provide an electronic device, including a brain wave sensor and a control circuit, wherein,
the brain wave sensor is used for collecting brain wave signals of a user;
the control circuit is used for determining user parameters of the user based on the collected brain wave signals, and 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.
In a second aspect, an embodiment of the present application provides a wallpaper updating method, which is applied to an electronic device, where the electronic device includes a brain wave sensor, and the method includes:
collecting brain wave signals of a user through the brain wave sensor;
determining 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.
In a third aspect, an embodiment of the present application provides a wallpaper updating apparatus, including an electronic device, where the electronic device includes a brain wave sensor, and the wallpaper updating apparatus includes a collecting unit, a determining unit, and an updating unit, where,
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 and/or fatigue of the user;
and the updating unit is used for updating the wallpaper currently displayed by the electronic equipment according to the user parameters.
In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps of any of the methods in the second aspect of the embodiment of the present application.
In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods in the second aspect of the present application.
In a sixth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps described in any one of the methods of the second aspect of the present application. The computer program product may be a software installation package.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor, determines the user parameter of the user based on the acquired brain wave signal, where the user parameter is used to describe the emotion and/or fatigue of the user, and finally, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. The wallpaper updating is determined according to the brain wave signals of the user, namely, as long as the user is close to the electronic equipment, the electronic equipment can acquire the brain wave signals of the user, and then the wallpaper updating is carried out, the whole process does not need the finger touch operation of the user, the user operation is reduced, and the convenience and the intelligence for updating the wallpaper are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 1B is a schematic structural diagram of a brain wave sensor according to an embodiment of the present application;
fig. 1C is a schematic structural diagram of an electronic device integrated with a brain wave sensor according to an embodiment of the present application;
fig. 1D is a schematic structural diagram of another electroencephalogram sensor provided according to an embodiment of the present application;
fig. 1E is a schematic structural diagram of another electroencephalogram sensor provided in an embodiment of the present application;
fig. 1F is a schematic structural diagram of an electrode array according to an embodiment of the present disclosure;
fig. 1G is an exemplary diagram of a signal processing circuit of a brain wave sensor provided in an embodiment of the present application;
fig. 2A is a schematic flowchart of a wallpaper updating method according to an embodiment of the present application;
FIG. 2B is an example electroencephalogram provided by an embodiment of the present application;
FIG. 3 is a schematic flowchart illustrating another wallpaper updating method according to an embodiment of the present application;
FIG. 4 is a schematic flowchart illustrating another wallpaper updating method according to an 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 illustrating functional units of a wallpaper updating apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The electronic device according to the embodiment of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, which have wireless communication functions, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), and the like. For convenience of description, the above-mentioned devices are collectively referred to as electronic devices.
The following describes embodiments of the present application in detail.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, where the electronic device 100 includes: the brain wave monitoring device comprises a shell 110, a brain wave sensor 120, a display screen 130, a camera 140, a control circuit 150, a radio frequency system 160 and a memory 170, wherein the brain wave sensor 120, the display screen 130, the camera 140 and the radio frequency system 160 are arranged in the shell, the control circuit 150 is connected with the control circuit 160, the control circuit 150 is connected with the display screen 130, the radio frequency system 160 comprises a transmitter 161, a receiver 162 and a processor 163, wherein,
the brain wave sensor 120 is used for collecting brain wave signals of a user;
the control circuit 150 is 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 emotion and/or fatigue of the user; and updating the wallpaper currently displayed by the electronic equipment according to the user parameters.
The brain wave sensor 120 may also be referred to as a brain wave chip, a brain wave receiver, or the like, the brain wave sensor 120 is integrated in an electronic device, has a dedicated signal processing circuit, is connected to a processor of the electronic device, and may be divided into a current type brain wave sensor 120 and an electromagnetic type brain wave sensor 120 according to the type of a signal collected, the current type brain wave sensor 120 collects a bioelectric current generated from a cerebral cortex, and the electromagnetic type brain wave sensor 120 collects an electromagnetic wave radiated from a brain of a human when the human is moving. It is understood that the specific form of the brain wave sensor 120 may be various and is not limited thereto.
For example, as shown in fig. 1B, the brain wave sensor 120 may include an antenna module and a signal processing module, the antenna module collects electromagnetic wave signals generated during the activity of the brain of the human, and the signal processing module performs denoising, filtering and other processing on the electromagnetic wave signals to finally form a reference brain wave signal and sends the reference brain wave signal to the processor for processing.
For another example, as shown in fig. 1C and 1D, the electroencephalogram sensor 120 may include a wearable signal collector, the wearable signal collector may be accommodated in an accommodating cavity of a rear housing of the electronic device shown in fig. 1C, and when the electroencephalogram sensor is used, as shown in fig. 1D, the wearable signal collector is connected to the local terminal of the electronic device through a wired connection or a wireless connection (the wireless connection corresponds to the wearable signal collector integrating a wireless communication module to communicate with the local terminal of the electronic device).
As another example, as shown in fig. 1E to 1G, the brain wave sensor 120 may include an electrode array embedded in the scalp to capture electrical signals of neurons, a signal processing module having a needle-shaped array structure, and a signal processing circuit including an instrumentation amplifier, a low pass filter circuit, a high pass filter circuit, an analog-to-digital a/D conversion circuit, an interface circuit, etc.
The control circuit 150 includes an application processor and a baseband processor, and the control circuit 150 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing software programs and/or modules stored in the memory and calling the data stored in the memory, thereby performing overall monitoring on the electronic device. The application processor mainly processes an operating system, a user interface, application programs and the like, and the baseband processor mainly processes wireless communication. It will be appreciated that the baseband processor described above may not be integrated into the control circuit 150. The memory 170 may be used to store software programs and modules, and the control circuit 150 executes various functional applications and data processing of the electronic device by operating the software programs and modules stored in the memory. The memory 170 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory 170 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
In a specific implementation, the electronic device may control the brain wave sensor 120 to operate in a low power mode in a stationary state and in a high frequency mode in the stationary state, thereby reducing power consumption.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor, determines the user parameter of the user based on the acquired brain wave signal, where the user parameter is used to describe the emotion and/or fatigue of the user, and finally, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. The wallpaper updating is determined according to the brain wave signals of the user, namely, as long as the user is close to the electronic equipment, the electronic equipment can acquire the brain wave signals of the user, and then the wallpaper updating is carried out, the whole process does not need the finger touch operation of the user, the user operation is reduced, and the convenience and the intelligence for updating the wallpaper are improved.
In one possible example, the memory 170 is used to store a 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 configured to:
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.
The mapping relationship between the user parameter and the wallpaper color parameter in the first database may be many-to-one, one-to-one, and not limited herein.
In one 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:
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.
Wherein the second database may be stored in the memory 170 of the electronic device.
In one possible example, the control circuit 150 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.
In one possible example, in the aspect of determining the user parameter of the user based on the acquired brain wave signals, the control circuit 150 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.
Referring to fig. 2A, fig. 2A is a schematic flowchart illustrating a wallpaper updating method according to an embodiment of the present application, applied to the electronic device shown in fig. 1A, the electronic device including a brain wave sensor, as shown in the figure, the wallpaper updating method includes:
s201, the electronic equipment acquires brain wave signals of the user through the brain wave sensor.
S202, the electronic equipment determines user parameters of the user based on the collected brain wave signals, and the user parameters are used for describing the emotion and/or fatigue of the user.
Wherein the emotion in the user parameter may include any one of: anger generation, happiness, depression, etc., and are not limited herein.
S203, the electronic equipment updates the wallpaper currently displayed by the electronic equipment according to the user parameters.
The wallpaper may include a screen locking wallpaper, a desktop wallpaper, a contact wallpaper (a dial key wallpaper (a button may be combined with a wallpaper here), a call record wallpaper, a contact wallpaper, a default wallpaper when a short message is not opened, an opened short message wallpaper, a pull-down contact wallpaper, a contact pop-up wallpaper, etc.), a pull-down menu wallpaper, a software folder wallpaper, etc., which are not limited herein.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor, determines the user parameter of the user based on the acquired brain wave signal, where the user parameter is used to describe the emotion and/or fatigue of the user, and finally, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. The wallpaper updating is determined according to the brain wave signals of the user, namely, as long as the user is close to the electronic equipment, the electronic equipment can acquire the brain wave signals of the user, and then the wallpaper updating is carried out, the whole process does not need the finger touch operation of the user, the user operation is reduced, and the convenience and the intelligence for updating the wallpaper are improved.
In one possible example, a specific implementation manner of the electronic device updating the wallpaper currently displayed by the electronic device according to the user parameter may be:
the electronic equipment queries a first database, determines 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.
The mapping relationship between the user parameter and the wallpaper color parameter in the first database may be many-to-one, one-to-one, and not limited herein.
Optionally, the electronic device may obtain the user parameter to determine the current emotion of the user, and determine the wallpaper color corresponding to the current emotion of the user according to the preset mapping relationship between the emotion and the wallpaper color parameter.
Optionally, the electronic device may further determine the current emotion of the user according to the user parameter, and determine an emotion set to which the current emotion of the user belongs, where each emotion set may include multiple emotions of similar types, and obtain a wallpaper color corresponding to the current emotion set according to a mapping relationship between a preset emotion set and the wallpaper color, where the wallpaper color is the wallpaper color corresponding to the current emotion of the user.
For example, assuming that the set a is { happy, excited, happy }, the electronic device determines that the current emotion of the user is happy by the collected brain waves, queries the first database to obtain the set a corresponding to the happy, obtains the color of the wallpaper corresponding to the current emotion of the user as red through the set a, updates the currently displayed wallpaper as red by the set a, and finally, obtains the color of the wallpaper as red in the display interface.
As can be seen, in this example, since the electronic device can determine the emotion of the user according to the user parameters, the wallpaper color in the database is further matched through the emotion, and then the wallpaper is updated, the mood and the relaxed emotion of the user can be met to a certain extent, and the intelligence and the accuracy of the electronic device in updating the wallpaper are improved.
In one possible example, a specific implementation manner of the electronic device updating the wallpaper currently displayed by the electronic device according to the user parameter may be:
the electronic equipment queries 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.
Among them, the wallpaper categories may include: cartoon, brief, static scenery, fun, relaxed, etc., and is not limited solely herein.
The mapping relationship between the wallpaper category and the user parameter may be many-to-one or one-to-one, and is not limited herein.
Optionally, the electronic device may collect a plurality of user parameters of a plurality of users in a historical period, store mapping relationships between the plurality of user parameters of the plurality of users and the wallpaper categories in the second database, select the target wallpaper after determining the wallpaper category of the current emotion, and update the currently displayed wallpaper.
Optionally, the electronic device may further store a plurality of user parameters of a user of the electronic device in a historical period, store a mapping relationship between the plurality of user parameters of the user and the wallpaper category in the second database, select the target wallpaper after determining the wallpaper category of the current emotion, and update the currently displayed wallpaper.
In one embodiment, the electronic device determines that the current emotion is depression through the collected brain waves, queries a second database, obtains that the wallpaper category corresponding to the depression is a funny category, wherein the funny category comprises four wallpapers of a, b, c and d, queries historical data, selects the wallpaper a with the largest number of viewing times as the wallpaper corresponding to the current emotion of the user if the user views the wallpaper a 10 times, the wallpaper b times is 5 times, the wallpaper c times is 6 times, and the wallpaper d times is 3 times, and finally updates the wallpaper to be the wallpaper a in the display interface.
Therefore, in the example, the electronic device can obtain the target wallpaper corresponding to the user parameter through big data analysis, and can also obtain the target wallpaper corresponding to the user parameter through the use habit of the electronic device, and the mood and the soothing mood of the user can be met to a certain extent through the two modes, so that the intelligence and the accuracy of the electronic device in wallpaper updating are improved.
In one possible example, the method further comprises: the electronic equipment acquires 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.
The preset threshold may be 10 times, 15 times, 20 times, etc., and is not limited herein.
As can be seen, in this example, the electronic device can establish a new mapping relationship between the wallpaper and the user parameter based on the habit of the user, and add the new mapping relationship to the second database, so that data in the second database is further enriched, and the certainty and the intelligence of the electronic device in screening the target wallpaper are increased.
In one possible example, the electronic device determines a user parameter of a user based on the collected brain wave signals, including: the electronic equipment generates an electroencephalogram of the 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.
As shown in fig. 2B, for example, assume that the currently acquired electroencephalogram of the electronic device includes 100 cycles of waveform characteristics, the current electroencephalogram may be split according to the waveform feature period into at least 5 segmented electroencephalograms, respectively segmented electroencephalograms 1, 2, 3, 4, 5, each segmented electroencephalogram occupies 20 characteristic cycles, specifically, the segmented electroencephalogram 1 corresponds to a waveform characteristic cycle 1-20, the segmented electroencephalogram 2 corresponds to a waveform characteristic cycle 21-40, the segmented electroencephalogram 3 corresponds to a waveform characteristic cycle 41-60, the segmented electroencephalogram 4 corresponds to a waveform characteristic cycle 61-80, the segmented electroencephalogram 5 corresponds to a waveform characteristic cycle 81-100, each segmented electroencephalogram is compared with an electroencephalogram template library respectively, and each segmented electroencephalogram corresponds to an electroencephalogram template with the highest matching degree.
As can be seen, in this example, in consideration of the volatility of the human brain, the electronic device divides the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform feature cycle of the current electroencephalogram of the user, performs template comparison on each segmented electroencephalogram to obtain an electroencephalogram template corresponding to each segmented electroencephalogram, and further determines the user parameter with the highest frequency of occurrence of the user parameter as the user parameter corresponding to the current electroencephalogram after obtaining the user parameter corresponding to each electroencephalogram template.
Referring to fig. 3, in accordance with the embodiment shown in fig. 2A, fig. 3 is a schematic flowchart of a wallpaper updating method provided in an embodiment of the present application, applied to the electronic device shown in fig. 1A, where the electronic device includes a brain wave sensor, and as shown in the figure, the wallpaper updating method includes:
and S301, the electronic equipment acquires the brain wave signals of the user through the brain wave sensor.
S302, the electronic equipment determines user parameters of the user based on the collected brain wave signals.
S303, the electronic equipment queries a first database and determines a target user parameter set matched with the user parameters in the first database.
S304, the electronic equipment 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 the color corresponding to the target wallpaper color parameter, so as to update the currently displayed wallpaper of the electronic device.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor, determines the user parameter of the user based on the acquired brain wave signal, where the user parameter is used to describe the emotion and/or fatigue of the user, and finally, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. The wallpaper updating is determined according to the brain wave signals of the user, namely, as long as the user is close to the electronic equipment, the electronic equipment can acquire the brain wave signals of the user, and then the wallpaper updating is carried out, the whole process does not need the finger touch operation of the user, the user operation is reduced, and the convenience and the intelligence for updating the wallpaper are improved.
In addition, the electronic equipment can determine the emotion of the user according to the user parameters, and further match the wallpaper color in the database through the emotion, so that the wallpaper is updated, the mood of the user can be met to a certain extent, the emotion of the user is relieved, and the intelligence and the accuracy of the electronic equipment in wallpaper updating are improved.
Referring to fig. 4, please refer to fig. 4 in accordance with the embodiment shown in fig. 2A, where fig. 4 is a schematic flowchart of a wallpaper updating method provided in an embodiment of the present application, and is applied to the electronic device shown in fig. 1A. As shown in the figure, the wallpaper updating method comprises the following steps:
s401, the electronic equipment collects brain wave signals of the user through the brain wave sensor.
S402, the electronic equipment generates an electroencephalogram of the user based on the brain wave signals.
S403, the electronic equipment determines a waveform feature period in the electroencephalogram.
S404, the electronic device divides the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform feature periods.
S405, the electronic equipment acquires a plurality of electroencephalogram templates which are matched with the segmented electroencephalograms one by one in an electroencephalogram template library.
S406, the electronic equipment acquires user parameters corresponding to the electroencephalogram templates.
S407, the electronic device determines the user parameter with the highest frequency of occurrence as the user parameter.
S408, the electronic equipment queries a second database to obtain the target wallpaper category corresponding to the user parameter.
S409, the electronic equipment acquires the target wallpaper under the target wallpaper category.
S4010, the electronic equipment adjusts the currently displayed wallpaper into the target wallpaper so as to update the currently displayed wallpaper of the electronic equipment.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor, determines the user parameter of the user based on the acquired brain wave signal, where the user parameter is used to describe the emotion and/or fatigue of the user, and finally, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. The wallpaper updating is determined according to the brain wave signals of the user, namely, as long as the user is close to the electronic equipment, the electronic equipment can acquire the brain wave signals of the user, and then the wallpaper updating is carried out, the whole process does not need the finger touch operation of the user, the user operation is reduced, and the convenience and the intelligence for updating the wallpaper are improved.
In addition, the electronic equipment stores the mapping relation between the wallpaper categories and the user parameters in advance, so that the mood and the soothing mood of the user can be met to a certain extent, and the intelligence and the accuracy of the electronic equipment in wallpaper updating are improved.
In addition, considering the volatility of the human brain, the electronic equipment divides the electroencephalogram into a plurality of segmented electroencephalograms based on the waveform characteristic period of the current electroencephalogram of the user, performs template comparison on each segmented electroencephalogram to obtain an electroencephalogram template corresponding to each segmented electroencephalogram, and further determines the user parameter with the highest frequency of occurrence of the user parameter as the user parameter corresponding to the current electroencephalogram after obtaining the user parameter corresponding to each electroencephalogram template, so that the partial electroencephalograms corresponding to abnormal electroencephalogram signals generated due to the volatility of the human brain can be removed in time, the influence of the abnormal fluctuated partial electroencephalograms on the matching result is avoided, and the wallpaper updating accuracy is improved.
In accordance with the embodiments shown in fig. 2A, fig. 3, and fig. 4, please refer to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 5, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the following steps;
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 and/or fatigue of the user;
and updating the wallpaper currently displayed by the electronic equipment according to the user parameters.
It can be seen that, in the embodiment of the application, the electronic device acquires the brain wave signal of the user through the brain wave sensor, determines the user parameter of the user based on the acquired brain wave signal, where the user parameter is used to describe the emotion and/or fatigue of the user, and finally, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameter. The wallpaper updating is determined according to the brain wave signals of the user, namely, as long as the user is close to the electronic equipment, the electronic equipment can acquire the brain wave signals of the user, and then the wallpaper updating is carried out, the whole process does not need the finger touch operation of the user, the user operation is reduced, and the convenience and the intelligence for updating the wallpaper are improved.
In one possible example, in terms of the updating of the wallpaper currently displayed by the electronic device according to the user parameter, the instructions in the program are specifically configured to:
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.
In one possible example, in terms of the updating of the wallpaper currently displayed by the electronic device according to the user parameter, the instructions in the program are 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.
In one possible example, the program further includes instructions for:
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.
In one possible example, in said determining of user parameters of the user based on said acquired brain wave signals, the instructions in the program are specifically adapted to perform the following operations:
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.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 is a block diagram of functional units of a wallpaper updating apparatus 600 according to an embodiment of the present application. The wallpaper updating apparatus 600 is applied to an electronic device, the electronic device comprises a brain wave sensor, the wallpaper updating apparatus 600 comprises a collecting unit 601, a determining unit 602 and an updating unit 603, wherein,
the acquisition unit 601 is used for acquiring brain wave signals of a user through the brain wave sensor;
the determining unit 602 is configured to determine a user parameter of the user based on the acquired brain wave signals, where the user parameter is used to describe emotion and/or fatigue of the user;
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 application, the wallpaper updating apparatus acquires the brain wave signals of the user through the brain wave sensor, determines the user parameters of the user based on the acquired brain wave signals, where the user parameters are used to describe the emotion and/or fatigue of the user, and finally, the electronic device updates the wallpaper currently displayed by the electronic device according to the user parameters. The wallpaper updating is determined according to the brain wave signals of the user, namely, as long as the user is close to the electronic equipment, the electronic equipment can acquire the brain wave signals of the user, and then the wallpaper updating is carried out, the whole process does not need the finger touch operation of the user, the user operation is reduced, and the convenience and the intelligence for updating the wallpaper are improved.
In a possible example, in terms of the updating the wallpaper currently displayed by the electronic device according to the user parameter, the updating unit 603 is specifically configured to:
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.
In a possible example, in terms of the updating the wallpaper currently displayed by the electronic device according to the user parameter, the updating unit 603 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.
In a possible example, the updating unit 603 is further specifically 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.
In one possible example, in the aspect of determining the user parameter of the user based on the acquired brain wave signals, the determining unit 602 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.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a mobile terminal.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a mobile terminal.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash disks, read-only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing embodiments of the present invention have been described in detail, and the principles and embodiments of the present invention are explained herein by using specific examples, which are only used to help understand the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (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.
CN201810164862.6A 2018-02-27 2018-02-27 Wallpaper updating method and related product Expired - Fee Related CN108334202B (en)

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