CN108594989B - Brain wave acquisition method and related equipment - Google Patents
Brain wave acquisition method and related equipment Download PDFInfo
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- CN108594989B CN108594989B CN201810253853.4A CN201810253853A CN108594989B CN 108594989 B CN108594989 B CN 108594989B CN 201810253853 A CN201810253853 A CN 201810253853A CN 108594989 B CN108594989 B CN 108594989B
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Abstract
The application discloses brain wave acquisition method and related equipment, which are applied to an electronic device, wherein the electronic device comprises a brain wave sensor and a controller, wherein: the brain wave sensor is used for collecting brain waves of a user; a controller for determining a target emotion corresponding to the brain wave, determining a target scalp area corresponding to the target emotion according to a correspondence between the emotion and the scalp excitation area, determining whether the brain wave sensor is located in the target scalp area, and moving the brain wave sensor to the target scalp area when the brain wave sensor is not located in the target scalp area. By adopting the embodiment of the application, the acquisition efficiency of the brain waves can be improved.
Description
Technical Field
The application relates to the technical field of electronics, in particular to a brain wave acquisition method and related equipment.
Background
With the increasing popularity of electronic devices such as mobile phones, the functions of the electronic devices are becoming more and more powerful. The current electronic device can support the collection and identification of brain waves, however, the collection efficiency of brain waves is low.
Disclosure of Invention
The embodiment of the application provides a brain wave acquisition method and related equipment, which can improve the acquisition efficiency of brain waves.
In a first aspect, an embodiment of the present application provides an electronic device, including a brain wave sensor and a controller, wherein:
the brain wave sensor is used for collecting brain waves of a user;
the controller is used for determining a target emotion corresponding to the brain wave, determining a target scalp area corresponding to the target emotion according to a correspondence between emotion and scalp excitation area, judging whether the brain wave sensor is located in the target scalp area, and moving the brain wave sensor to the target scalp area when the brain wave sensor is not located in the target scalp area.
In a second aspect, an embodiment of the present application provides a brain wave acquisition method applied to an electronic device, the method including:
collecting brain waves of a user by using a brain wave sensor;
determining a target emotion corresponding to the brain waves;
determining a target scalp area corresponding to the target emotion according to the corresponding relation between emotion and scalp excitation area;
and judging whether the brain wave sensor is positioned in the target scalp area, and if not, moving the brain wave sensor to the target scalp area.
In a third aspect, an embodiment of the present application provides a brain wave acquiring device applied to an electronic device, the brain wave acquiring device including an acquiring unit, a first determining unit, a second determining unit, a judging unit, and a moving unit, wherein:
the acquisition unit is used for acquiring brain waves of a user by using a brain wave sensor;
the first determining unit is used for determining a target emotion corresponding to the brain wave;
the second determining unit is used for determining a target scalp area corresponding to the target emotion according to the corresponding relation between emotion and scalp excitation area;
the judging unit is used for judging whether the brain wave sensor is positioned in the target scalp area;
and the moving unit is used for moving the brain wave sensor to the target scalp area when the judgment result of the judging unit is negative.
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.
In the embodiment of the application, the electronic device comprises a brain wave sensor and a controller, wherein the brain wave sensor acquires brain waves of a user; the controller determines a target emotion corresponding to the brain wave, determines a target scalp area corresponding to the target emotion according to a correspondence between emotion and scalp excitation area, determines whether the brain wave sensor is located in the target scalp area, and moves the brain wave sensor to the target scalp area when the brain wave sensor is not located in the target scalp area. The embodiment of the application can determine the target emotion of the user according to the brain waves, determine the target scalp area required to be set by the brain wave sensor according to the target emotion of the user (the target scalp area is the scalp area with the best brain wave collecting effect of the user under the target emotion), and move the brain wave sensor to the target scalp area if the brain wave sensor is not located in the target scalp area. According to the embodiment of the application, the brain wave sensor can be used for collecting the brain waves, the emotion of a user is determined according to the brain waves, the scalp area with the best brain wave collecting effect is determined according to the emotion of the user, and the brain wave sensor is moved to the scalp area with the best brain wave collecting effect, so that the brain wave collecting efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 2A is a schematic structural diagram of a detachable brain wave sensor according to an embodiment of the present application;
fig. 2B is a schematic diagram illustrating a fitting of a brain wave sensor to a head of a user according to an embodiment of the present application;
fig. 2C is a schematic structural diagram of a brain wave sensor according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present application;
FIG. 4 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present application;
fig. 5 is a schematic flow chart of a brain wave acquisition method disclosed in an embodiment of the present application;
fig. 6 is a schematic flow chart of another electroencephalogram acquisition method disclosed in the embodiments of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a brain wave acquisition device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, 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 partial embodiments of the present application, but not all 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 following are detailed below.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying 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 apparatus may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem having wireless communication functions, as well as various forms of User Equipment (UE), Mobile Stations (MS), terminal Equipment (terminal device), and so on. For convenience of description, the above-mentioned apparatuses are collectively referred to as electronic devices.
The following describes embodiments of the present application in detail.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present application, the electronic device 100 includes a brain wave sensor 11 and a controller 12, the brain wave sensor 11 is connected to the controller 12, wherein:
a brain wave sensor 11 for collecting brain waves of a user;
a controller 12 for determining a target emotion corresponding to the brain wave, determining a target scalp area corresponding to the target emotion according to the correspondence of emotion to scalp excitation area, determining whether the brain wave sensor 11 is located in the target scalp area, and moving the brain wave sensor to the target scalp area when the brain wave sensor is not located in the target scalp area.
In the embodiment of the present application, the controller 12 may include a processor and a memory, the processor is a control center of the electronic device, various interfaces and lines are used to connect various parts of the whole electronic device, and various functions of the electronic device and processing data are executed by running or executing software programs and/or modules stored in the memory and calling data stored in the memory, so as to perform overall monitoring on the electronic device. Optionally, the processor may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, user interfaces, application programs, and the like, and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor.
The memory may be used for storing software programs and modules, and the processor executes various functional applications and data processing of the electronic device by operating the software programs and modules stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to use of the electronic device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. The memory may store a correspondence of emotions to scalp excitation areas, and the correspondence of emotions to scalp excitation areas may be stored in the memory in the form of a table.
The brain wave sensor 11 may also be called a brain wave chip, a brain wave receiver, or the like. As shown in fig. 2A, the brain wave sensor 11 may be detachable, the brain wave sensor 11 may be disposed on a rear case of the electronic device 100, the brain wave sensor 11 may be detachable from the rear case of the electronic device 100, and the brain wave sensor 11 may be connected to the end of the electronic device 100 by a wire or wirelessly (when wirelessly connected, the brain wave sensor 11 is integrated with a wireless communication module, and the wireless communication module is used to establish a wireless communication connection with the electronic device 100). In use, as shown in fig. 2B, the user may detach the brain wave sensor 11 from the rear case of the electronic device 100 and then attach the brain wave sensor 11 to the head of the user.
The brain wave sensor 11 may include an electrode array, which is in contact with the scalp to capture electrical signals of neurons, as shown in fig. 2C, and a signal processing module, and the structure of the electrode array may be a needle-shaped array. The brain wave sensor 11 is located at the target scalp area, and specifically means that the electrode array of the brain wave sensor 11 is completely in contact with the target scalp area, or the electrode array of the brain wave sensor 11 above a preset ratio threshold value is in contact with the target scalp area. The brain wave sensors 11 are not located at the target scalp area, specifically, the electrode arrays of the brain wave sensors 11 are not in contact with the target scalp area, or only the electrode arrays of the brain wave sensors 11 below a preset ratio threshold are in contact with the target scalp area. The preset proportion threshold may be preset, for example, the preset proportion threshold may be set to 80%. The signal processing circuit part can comprise 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. The instrument amplifier is used for amplifying the collected brain waves, the low-pass filter circuit and the high-pass filter circuit are used for filtering noise in the collected brain waves, only the frequency band of the brain wave frequency band (such as 1-30 Hz) is reserved, the analog-to-digital A/D conversion circuit is used for converting the filtered brain waves into digital signals, and the interface circuit is used for transmitting the digital signals to other equipment (such as an electronic device).
It should be noted that the examples of the brain wave sensor 11 and the electronic device 100 in the embodiment of the present application are for explanation only and should not be construed as limiting.
The brain wave (EEG) is formed by summing the postsynaptic potentials generated by a large number of neurons in synchronization with the brain during its activity.
In the embodiment of the application, the correspondence between emotions and scalp excitation areas may be preset, wherein each emotion corresponds to at least one scalp excitation area, and the scalp excitation areas corresponding to different emotions are not completely the same.
The correspondence between the emotion and the scalp excitation area can be determined based on brain wave data of each scalp area acquired by a brain wave sensor trained in advance under various emotional stimuli. The brain wave sensor 11 may include a plurality of electrode arrays, wherein each electrode array is in corresponding contact with one scalp area, and the brain wave sensor 11 collects the intensity of brain waves generated by each scalp area under the stimulation of a first emotional stimulation object; determining the intensity of electroencephalogram corresponding to each scalp area of a user under a first emotion stimulation object, and taking at least one scalp area with the intensity of the electroencephalogram greater than a preset intensity threshold value as a scalp excitation area corresponding to the first emotion.
The emotional stimulus object may be at least one of a picture stimulus, a voice stimulus, a video stimulus, and a text stimulus. For example, if the emotional stimulation object is a picture stimulation, a picture with an emotion tag can be selected from the picture library, for example, when the corresponding relation between the fear emotion and the scalp excitation area is determined, a plurality of pictures with the emotion tag of fear can be selected from the picture library to be seen by the user, and when the user sees the picture with the emotion tag of fear, the intensity of electroencephalogram generated by each scalp area under the stimulation of the picture with the emotion tag of fear is acquired; determining the intensity of electroencephalogram corresponding to each scalp area of a user under the fear emotion, and taking at least one scalp area with the intensity of the electroencephalogram greater than a preset intensity threshold value as a scalp excitation area corresponding to the first emotion of the user. For example, the picture with emotion label "fear" in the picture library may be a horror picture screened on the network.
In the embodiment of the application, the brain wave sensor can be used for collecting the brain waves, the emotion of the user is determined according to the brain waves, the scalp area with the best brain wave collecting effect is determined according to the emotion of the user, and the brain wave sensor is moved to the scalp area with the best brain wave collecting effect, so that the strength of the collected brain waves can be improved, and the brain wave collecting efficiency is improved.
Alternatively, as shown in fig. 3, the electronic device 100 may further include a motor 13 (e.g., an electric motor), the motor 13 may be disposed on a rear case of the electronic device 100, the motor 13 may be detachable from the rear case of the electronic device 100, and the motor 13 may be connected to the electrode array of the brain wave sensor 11 through a transmission. The motor 13 is connected to the controller 12, and the controller 12 moves the brain wave sensor 11 to a target scalp area, specifically:
the controller 12 moves the brain wave sensor 11 to a target scalp area by the motor 13.
In the embodiment of the present application, the motor 13 is connected to the electrode array of the brain wave sensor 11 through a transmission (the transmission may include a screw, a thread, etc.), and when the motor 13 rotates, the electrode array of the brain wave sensor 11 is moved by the transmission, thereby achieving the purpose of moving the brain wave sensor 11. Specifically, the brain wave sensor 11 may further include a camera, and the relative position of the electrode array of the electric wave sensor 11 and the target scalp area may be determined according to the camera, and the rotation direction and the rotation time period of the motor 13 may be determined according to the relative position of the electrode array of the brain wave sensor 11 and the target scalp area. According to the embodiment of the application, the motor 13 can automatically and accurately move the brain wave sensor 11, so that the brain wave acquisition efficiency is improved.
Optionally, as shown in fig. 4, the electronic device 100 further includes an output device 14, the output device 14 is connected to the controller 12, and the controller 12 moves the brain wave sensor 11 to the target scalp area, specifically:
the controller 12 outputs prompt information for prompting the user to move the brain wave sensor 11 to the target scalp area through the output device 14.
In the embodiment of the present application, the output device 14 may be a voice output device, such as a speaker, and the prompt message may be a voice message. For another example, the output device 14 may be a display screen, and the prompt message may be a text message. The prompt information may also be vibration information issued by a vibration motor for prompting the user to move the brain wave sensor 11 to the target scalp area. The embodiment of the present application may output prompt information through the output device 14 to prompt the user to move the brain wave sensor 11 to the target scalp area, and the user may manually change the contact area of the electrode array of the brain wave sensor 11 with the scalp. Thereby improving the brain wave acquisition efficiency.
Optionally, the controller 12 determines a target emotion corresponding to the brain wave, specifically:
the controller 12 extracts brain wave features from the brain waves;
the controller 12 acquires a plurality of brain wave templates obtained through pre-training, wherein each brain wave template in the plurality of brain wave templates corresponds to one emotion, and the emotions corresponding to each brain wave template in the plurality of brain wave templates are different;
the controller 12 calculates the matching degrees of the brain wave features and the plurality of brain wave templates, and determines the target emotion corresponding to the brain wave template with the highest matching degree.
In the embodiment of the present application, the controller 12 may extract brain wave features from the brain waves, and the brain wave features may include at least one of a mean brain wave level, a standard deviation brain wave level, a frequency brain wave, and a power spectral density brain wave.
Wherein, the brain wave level mean means: an average value of levels of brain waves collected by the brain wave sensor 11 over a period of time; the level variance of brain waves means: the brain wave sensor 11 sums the squares of differences between the levels of the brain waves collected over a period of time and the mean of the brain wave levels. The brain wave level standard deviation is obtained from the level variance of the brain waves. The brain wave frequency means: the brain wave sensor 11 collects the frequency of brain waves for a certain period of time. The brain wave power spectral density refers to the signal energy of the brain waves within a unit frequency.
Optionally, the controller 12 calculates a matching degree between the brain wave features and the plurality of brain wave templates, specifically:
the controller 12 calculates a degree of matching of the brain wave features of the acquired brain waves with the brain wave features of each brain wave template.
In the embodiment of the application, the brain wave templates can be established according to a plurality of collected brain waves of the user under stimulation of various emotional objects, each emotional object corresponds to one emotion, and each emotion can correspond to one brain wave template. When performing emotion recognition based on brain waves, the controller 12 matches the acquired brain waves with the brain wave templates, and calculates a matching degree corresponding to each brain wave template. First, the controller 12 extracts brain wave features from brain waves, calculates matching degrees of the brain wave features with a plurality of brain wave templates obtained by training in advance, and calculates a matching degree corresponding to each brain wave template. Specifically, the way for the controller 12 to calculate the matching degrees between the brain wave features and the brain wave templates obtained through pre-training is specifically as follows: the controller 12 calculates a brain wave level mean matching degree between the brain wave level mean of the collected brain waves and the brain wave level mean of the first brain wave template; calculating the brain wave level standard deviation matching degree of the brain wave level standard deviation of the collected brain waves and the brain wave level standard deviation of the first brain wave template; calculating the brain wave frequency matching degree of the brain wave frequency of the collected brain waves and the brain wave frequency of the first brain wave template; calculating brain wave power spectrum density matching degree of the brain wave power spectrum density of the collected brain waves and the brain wave power spectrum density of the first brain wave template; and then accumulating the brain wave level mean matching degree, the brain wave level standard deviation matching degree, the brain wave frequency matching degree and the brain wave power spectrum density matching degree to obtain the matching degree corresponding to the first brain wave template. For example, if the brain wave level mean of the collected brain waves is a1 and the brain wave level mean of the first brain wave template is B1, the brain wave level mean matching degree P1 of the first brain wave template is | a1-B1|/a 1; if the standard deviation of the brain wave levels of the collected brain waves is A2 and the standard deviation of the brain wave levels of the first brain wave template is B2, the matching degree of the standard deviation of the brain wave levels of the first brain wave template P2 is | A2-B2 |/A2; if the brain wave frequency of the collected brain waves is A2 and the brain wave frequency of the first brain wave template is B2, the brain wave frequency matching degree P3 of the first brain wave template is | A3-B3 |/A3; if the brain wave power spectral density of the acquired brain waves is a2 and the brain wave power spectral density of the first brain wave template is B2, the brain wave power spectral density matching degree P4 of the first brain wave template is | a4-B4|/a 4. The matching degree of the first brain wave template is P1+ P2+ P3+ P4.
The above embodiment is a method for calculating a matching degree corresponding to an electroencephalogram template provided in the present application, and other methods for calculating a matching degree may also be used.
Among them, the emotion of the user can be classified into calmness, anger, fear, disgust, anger, apprehension, joy, and the like.
Optionally, before the controller 12 acquires a plurality of brain wave templates obtained through pre-training, the brain wave sensor 11 may further collect a plurality of brain waves generated by training the user under the stimulation of the first emotional stimulation object;
the controller 12 is further used for screening effective brain waves from the brain waves, wherein the emotion label of the first emotional stimulation object is a first emotion, and the first emotion is any one of multiple emotions; and fitting the effective brain waves to obtain a brain wave template corresponding to the first emotion.
In the embodiment of the application, the pre-trained brain wave templates are established based on the collected brain waves of the user under the stimulation of various emotional stimulation objects. The brain wave template is obtained by screening and fitting a plurality of brain waves generated by a user under a certain emotion. The brain wave template in the embodiment of the application is established according to a plurality of brain waves of a user under stimulation of various emotional stimulation objects. In the embodiment of the application, each brain wave template corresponds to one emotion, and the emotions corresponding to the brain wave templates are different. Due to the difference of the brain waves generated by the user under different emotions, the emotion corresponding to the brain waves can be accurately determined by identifying the matching degree of the brain waves and the brain wave template.
When the brain wave template is recorded, the brain waves of the user under the stimulation of various emotional stimulation objects can be collected. The emotional stimulus object may be at least one of a picture stimulus, a voice stimulus, a video stimulus, and a text stimulus. For example, if the emotional stimulation object is a picture stimulation, a picture with an emotional tag may be selected from the picture library, for example, when a fear emotion is trained, multiple pictures with an emotional tag of "fear" may be selected from the picture library to be seen by the user, when the user sees the picture with the emotional tag of "fear", a section of brain waves of the user is collected (where the section may be a section of time, such as 5 seconds), and then the brain waves collected corresponding to each picture are fitted to obtain a brain wave template corresponding to the "fear". For example, the picture with emotion label "fear" in the picture library may be a horror picture screened on the network.
If the emotional stimulation object is voice stimulation, a voice segment with an emotional label can be selected from a voice library, for example, when a calm emotion is trained, a plurality of voice segments with the emotional labels of calm can be selected from the voice library to be seen by a user, when the user hears the voice segment with the emotional label of calm, a section of brain wave of the user is collected, then the brain wave collected corresponding to each voice segment is fitted, and a brain wave template corresponding to calm is fitted. For example, a speech segment with emotion label "calm" in the speech library may be a more soothing light music.
If the emotional stimulation object is a video stimulation, a video segment with an emotion label can be selected from the video library, for example, when the 'anger' emotion is trained, a plurality of video segments with the emotion label of 'anger' can be selected from the video library to be seen by the user, when the user hears the video segment with the emotion label of 'anger', a section of brain wave of the user is collected, and then each video segment is fitted to the collected brain wave to form a brain wave template corresponding to the 'anger'. For example, a video clip with an emotion label of "anger" in a video library may be some video that is easily angry.
In the embodiment of the application, because of the difference of the brain waves generated by the user under different emotions, the emotion corresponding to the brain waves can be accurately determined by identifying the matching degree of the brain waves and the brain wave template.
Referring to fig. 5, fig. 5 is a schematic flow chart of a brain wave acquisition method according to an embodiment of the present application. As shown in fig. 5, the brain wave collecting method includes the following steps.
The electronic device uses a brain wave sensor to collect brain waves of a user 501.
502, the electronic device determines a target emotion corresponding to the brain wave.
The electronic device determines a target scalp area corresponding to the target emotion 503 from the correspondence between the emotion and the scalp excitation area.
Optionally, the correspondence between the emotion and the scalp excitation area is determined based on brain wave data of each scalp area acquired by the brain wave sensor under various emotional stimuli, which is obtained through pre-training.
The electronic device determines 504 whether the brain wave sensor is located in the target scalp area. If not, go to step 505, and if so, go back to step 501 or end the process.
The electronic device moves the brain wave sensor to the target scalp area 505.
Optionally, step 505 may include the steps of:
the electronic device moves the brain wave sensor to the target scalp area through the motor; alternatively, the first and second electrodes may be,
the electronic device outputs prompt information for prompting the user to move the brain wave sensor to the target scalp area.
According to the embodiment of the application, the brain wave sensor can be automatically and accurately moved through the motor, and then the brain wave acquisition efficiency is improved.
The specific implementation of the method shown in fig. 5 can refer to the embodiments of the apparatuses shown in fig. 1 to fig. 4, and is not described herein again.
In the embodiment of the application, the brain wave sensor can be used for collecting the brain waves, determining the emotion of the user according to the brain waves, determining the scalp area with the best brain wave collecting effect according to the emotion of the user, and moving the brain wave sensor to the scalp area with the best brain wave collecting effect, so that the brain wave collecting efficiency is improved.
Referring to fig. 6, fig. 6 is a schematic flow chart of another electroencephalogram acquisition method disclosed in the embodiment of the present application. Fig. 6 is further optimized based on fig. 5, and as shown in fig. 5, the brain wave acquiring method includes the following steps.
The electronic device collects brain waves of the user using a brain wave sensor 601.
The electronic device extracts brain wave features from the brain waves 602.
603, the electronic device obtains a plurality of brain wave templates obtained by pre-training, wherein each brain wave template in the plurality of brain wave templates corresponds to one emotion, and the emotions corresponding to each brain wave template in the plurality of brain wave templates are different.
And 604, the electronic device calculates the matching degree of the brain wave features and the brain wave templates and determines the target emotion corresponding to the brain wave template with the highest matching degree.
605, the electronic device determines a target scalp area corresponding to the target emotion according to the correspondence between the emotion and the scalp excitation area.
Optionally, the correspondence between the emotion and the scalp excitation area is determined based on brain wave data of each scalp area acquired by the brain wave sensor under various emotional stimuli, which is obtained through pre-training.
The electronic device determines 606 whether the brain wave sensor is located in the targeted scalp region. If not, go to step 607, if yes, go back to step 601 or end the process.
The electronics move 607 the brain wave sensors to the target scalp area.
Optionally, before performing step 603, the following steps may also be performed:
(11) the electronic device collects a plurality of brain waves generated by a training user under the stimulation of a first emotional stimulation object, and effective brain waves are screened out from the plurality of brain waves, wherein the emotional label of the first emotional stimulation object is a first emotion, and the first emotion is any one of a plurality of emotions;
(12) and the electronic device obtains a brain wave template corresponding to the first emotion according to the effective brain wave fitting.
The specific implementation of the method shown in fig. 6 can refer to the embodiments of the apparatuses shown in fig. 1 to fig. 4, and is not described herein again.
In the embodiment of the application, the brain wave sensor can be used for collecting the brain waves, determining the emotion of the user according to the brain waves, determining the scalp area with the best brain wave collecting effect according to the emotion of the user, and moving the brain wave sensor to the scalp area with the best brain wave collecting effect, so that the brain wave collecting efficiency is improved. The emotion corresponding to the brain waves can be accurately determined by recognizing the matching degree of the brain waves and the brain wave template.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, and as shown in the drawing, the electronic device 700 includes a processor 701, a memory 702, a communication interface 703 and one or more programs, where the one or more programs are stored in the memory 702 and configured to be executed by the processor 701, and the programs include instructions for performing the following steps:
collecting brain waves of a user by using a brain wave sensor;
determining a target emotion corresponding to the brain waves;
determining a target scalp area corresponding to the target emotion according to the corresponding relation between the emotion and the scalp excitation area;
and judging whether the brain wave sensor is positioned in the target scalp area, and if not, moving the brain wave sensor to the target scalp area.
Optionally, in moving the brain wave sensor to the target scalp area, the program includes instructions specifically for performing the steps of:
moving the brain wave sensor to a target scalp area by a motor; alternatively, the first and second electrodes may be,
and outputting prompt information for prompting the user to move the brain wave sensor to the target scalp area.
Optionally, the correspondence between the emotion and the scalp excitation area is determined based on brain wave data of each scalp area acquired by the brain wave sensor under various emotional stimuli, which is obtained through pre-training.
Optionally, in the aspect of determining the target emotion corresponding to the brain wave, the program includes instructions specifically configured to:
extracting brain wave features from the brain waves;
acquiring a plurality of brain wave templates obtained through pre-training, wherein each brain wave template in the plurality of brain wave templates corresponds to one emotion, and the emotions corresponding to each brain wave template in the plurality of brain wave templates are different;
and calculating the matching degree of the brain wave features and the brain wave templates, and determining the target emotion corresponding to the brain wave template with the highest matching degree.
Optionally, the program includes instructions for further performing the following steps:
collecting a plurality of brain waves generated by a training user under the stimulation of a first emotional stimulation object, and screening effective brain waves from the plurality of brain waves, wherein the emotional label of the first emotional stimulation object is a first emotion, and the first emotion is any one of a plurality of emotions;
and fitting according to the effective brain waves to obtain a brain wave template corresponding to the first emotion.
The specific implementation of the apparatus shown in fig. 7 can refer to the apparatus embodiments shown in fig. 1 to 4, and is not described herein again.
Implementing the electronic device shown in fig. 7, it is possible to collect brain waves using the brain wave sensor, determine the emotion of the user from the brain waves, determine the scalp area having the best brain wave collecting effect from the emotion of the user, and move the brain wave sensor to the scalp area having the best brain wave collecting effect, thereby improving the brain wave collecting efficiency.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a brain wave collecting device according to an embodiment of the present application, which is applied to an electronic device, the brain wave collecting device 800 includes a collecting unit 801, a first determining unit 802, a second determining unit 803, a determining unit 804 and a moving unit 805, wherein:
a collecting unit 801 for collecting brain waves of a user using a brain wave sensor.
A first determining unit 802 for determining a target emotion corresponding to the brain wave.
A second determining unit 803, configured to determine a target scalp area corresponding to the target emotion according to the correspondence between emotion and scalp excitation area.
A judging unit 804 for judging whether the brain wave sensor is located at the target scalp area.
A moving unit 805 for moving the brain wave sensor to the target scalp area when the judgment result of the judging unit 804 is no.
The first determining Unit 802, the second determining Unit 803, the determining Unit 804, and the moving Unit 805 may be processors or controllers (e.g., Central Processing Units (CPUs), general purpose processors, Digital Signal Processors (DSPs), Application-Specific Integrated circuits (ASICs), Field Programmable Gate Arrays (FPGAs), or other Programmable logic devices, transistor logic devices, hardware components, or any combination thereof).
The specific implementation of the apparatus shown in fig. 8 can refer to the apparatus embodiments shown in fig. 1 to 4, and is not described herein again.
Implementing the electronic device shown in fig. 8, it is possible to collect brain waves using the brain wave sensor, determine the emotion of the user according to the brain waves, determine the scalp area having the best brain wave collecting effect according to the emotion of the user, and move the brain wave sensor to the scalp area having the best brain wave collecting effect, thereby improving the brain wave collecting efficiency.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, 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 an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising electronic equipment.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific implementation and application scope, and in view of the above, the content of the present specification should not be construed as a limitation to the present application.
Claims (9)
1. An electronic device characterized by comprising a brain wave sensor and a controller, wherein:
the brain wave sensor is used for collecting brain waves of a user;
the controller is used for determining a target emotion corresponding to the brain wave, determining a target scalp area corresponding to the target emotion according to a correspondence between emotion and scalp excitation area, judging whether the brain wave sensor is located in the target scalp area, and moving the brain wave sensor to the target scalp area when the brain wave sensor is not located in the target scalp area; the corresponding relation between the emotion and the scalp excitation area is determined based on brain wave data of each scalp area, acquired by the brain wave sensor under various emotional stimuli and obtained by the user in advance;
the controller determines a target emotion corresponding to the brain wave, and specifically comprises the following steps:
the controller extracts brain wave features from the brain waves; the brain wave features comprise at least one of a brain wave level mean value, a brain wave level standard deviation, brain wave frequency and brain wave power spectral density;
the controller acquires a plurality of brain wave templates obtained through pre-training, wherein each brain wave template in the plurality of brain wave templates corresponds to one emotion, and the emotions corresponding to each brain wave template in the plurality of brain wave templates are different;
the controller calculates the matching degree of the brain wave features and the brain wave templates and determines the target emotion corresponding to the brain wave template with the highest matching degree;
the method for calculating the matching degree of the brain wave features and the brain wave templates obtained by pre-training by the controller specifically comprises the following steps: the controller calculates the brain wave level mean matching degree of the brain wave level mean of the collected brain waves and the brain wave level mean of the first brain wave template; calculating the brain wave level standard deviation matching degree of the brain wave level standard deviation of the collected brain waves and the brain wave level standard deviation of the first brain wave template; calculating the brain wave frequency matching degree of the brain wave frequency of the collected brain waves and the brain wave frequency of the first brain wave template; calculating brain wave power spectrum density matching degree of the brain wave power spectrum density of the collected brain waves and the brain wave power spectrum density of the first brain wave template; and then accumulating the brain wave level mean matching degree, the brain wave level standard deviation matching degree, the brain wave frequency matching degree and the brain wave power spectrum density matching degree to obtain the matching degree corresponding to a first brain wave template, wherein the first brain wave template is one of the brain wave templates.
2. The electronic device according to claim 1, further comprising a motor or an output device, wherein the controller moves the brain wave sensor to the target scalp area, specifically:
the controller moves the brain wave sensor to the target scalp area by a motor; alternatively, the first and second electrodes may be,
outputting prompt information for prompting a user to move the brain wave sensor to the target scalp area through the output device.
3. The electronic device of claim 1,
the brain wave sensor is also used for acquiring a plurality of brain waves generated by training the user under the stimulation of a first emotional stimulation object before the controller acquires a plurality of brain wave templates obtained by pre-training;
the controller is further used for screening out effective brain waves from the plurality of brain waves, wherein the emotion label of the first emotional stimulation object is a first emotion, and the first emotion is any one of a plurality of emotions; and fitting the effective brain waves to obtain a brain wave template corresponding to the first emotion.
4. A brain wave acquisition method applied to an electronic device, the method comprising:
collecting brain waves of a user by using a brain wave sensor;
determining a target emotion corresponding to the brain waves;
determining a target scalp area corresponding to the target emotion according to the corresponding relation between emotion and scalp excitation area; the corresponding relation between the emotion and the scalp excitation area is determined based on brain wave data of each scalp area, acquired by the brain wave sensor under various emotional stimuli and obtained by the user in advance;
judging whether the brain wave sensor is positioned in the target scalp area or not, and if not, moving the brain wave sensor to the target scalp area;
the determining of the target emotion corresponding to the brain wave comprises the following steps:
extracting brain wave features from the brain waves; the brain wave features comprise at least one of a brain wave level mean value, a brain wave level standard deviation, brain wave frequency and brain wave power spectral density;
the method comprises the steps of obtaining a plurality of brain wave templates obtained through pre-training, wherein each brain wave template in the brain wave templates corresponds to one emotion, and the emotions corresponding to each brain wave template in the brain wave templates are different;
calculating the matching degree of the brain wave features and the brain wave templates, and determining the target emotion corresponding to the brain wave template with the highest matching degree;
the method for calculating the matching degree of the brain wave features and the brain wave templates obtained by pre-training specifically comprises the following steps: calculating the brain wave level mean matching degree of the brain wave level mean of the collected brain waves and the brain wave level mean of the first brain wave template; calculating the brain wave level standard deviation matching degree of the brain wave level standard deviation of the collected brain waves and the brain wave level standard deviation of the first brain wave template; calculating the brain wave frequency matching degree of the brain wave frequency of the collected brain waves and the brain wave frequency of the first brain wave template; calculating brain wave power spectrum density matching degree of the brain wave power spectrum density of the collected brain waves and the brain wave power spectrum density of the first brain wave template; and then accumulating the brain wave level mean matching degree, the brain wave level standard deviation matching degree, the brain wave frequency matching degree and the brain wave power spectrum density matching degree to obtain the matching degree corresponding to a first brain wave template, wherein the first brain wave template is one of the brain wave templates.
5. The method according to claim 4, wherein said moving the brain wave sensors to the target scalp area comprises:
moving the brain wave sensor to the target scalp area by a motor; alternatively, the first and second electrodes may be,
outputting prompt information for prompting a user to move the brain wave sensor to the target scalp area.
6. The method according to claim 4, wherein before the obtaining of the pre-trained brain wave templates, the method further comprises:
collecting a plurality of brain waves generated by training the user under stimulation of a first emotional stimulation object, and screening effective brain waves from the plurality of brain waves, wherein an emotional label of the first emotional stimulation object is a first emotion, and the first emotion is any one of a plurality of emotions;
and fitting according to the effective brain waves to obtain a brain wave template corresponding to the first emotion.
7. The brain wave acquisition device is applied to an electronic device and comprises an acquisition unit, a first determination unit, a second determination unit, a judgment unit and a mobile unit, wherein:
the acquisition unit is used for acquiring brain waves of a user by using a brain wave sensor;
the first determining unit is used for determining a target emotion corresponding to the brain wave;
the second determining unit is used for determining a target scalp area corresponding to the target emotion according to the corresponding relation between emotion and scalp excitation area; the corresponding relation between the emotion and the scalp excitation area is determined based on brain wave data of each scalp area, acquired by the brain wave sensor under various emotional stimuli and obtained by the user in advance;
the judging unit is used for judging whether the brain wave sensor is positioned in the target scalp area;
the moving unit is used for moving the brain wave sensor to the target scalp area when the judgment result of the judging unit is negative;
the first determining unit determines a target emotion corresponding to the brain wave, specifically:
extracting brain wave features from the brain waves; the brain wave features comprise at least one of a brain wave level mean value, a brain wave level standard deviation, brain wave frequency and brain wave power spectral density; the method comprises the steps of obtaining a plurality of brain wave templates obtained through pre-training, wherein each brain wave template in the brain wave templates corresponds to one emotion, and the emotions corresponding to each brain wave template in the brain wave templates are different; calculating the matching degree of the brain wave features and the brain wave templates, and determining the target emotion corresponding to the brain wave template with the highest matching degree;
the first determining unit calculates the matching degree between the brain wave features and the brain wave templates obtained by pre-training in a specific way: calculating the brain wave level mean matching degree of the brain wave level mean of the collected brain waves and the brain wave level mean of the first brain wave template; calculating the brain wave level standard deviation matching degree of the brain wave level standard deviation of the collected brain waves and the brain wave level standard deviation of the first brain wave template; calculating the brain wave frequency matching degree of the brain wave frequency of the collected brain waves and the brain wave frequency of the first brain wave template; calculating brain wave power spectrum density matching degree of the brain wave power spectrum density of the collected brain waves and the brain wave power spectrum density of the first brain wave template; and then accumulating the brain wave level mean matching degree, the brain wave level standard deviation matching degree, the brain wave frequency matching degree and the brain wave power spectrum density matching degree to obtain the matching degree corresponding to a first brain wave template, wherein the first brain wave template is one of the brain wave templates.
8. 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 4-6.
9. 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 4-6.
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