WO2019153972A1 - 信息推送方法及相关产品 - Google Patents

信息推送方法及相关产品 Download PDF

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Publication number
WO2019153972A1
WO2019153972A1 PCT/CN2018/125692 CN2018125692W WO2019153972A1 WO 2019153972 A1 WO2019153972 A1 WO 2019153972A1 CN 2018125692 W CN2018125692 W CN 2018125692W WO 2019153972 A1 WO2019153972 A1 WO 2019153972A1
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WO
WIPO (PCT)
Prior art keywords
brain wave
recommended content
sound information
information
processor
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Application number
PCT/CN2018/125692
Other languages
English (en)
French (fr)
Inventor
张海平
Original Assignee
Oppo广东移动通信有限公司
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Publication date
Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Publication of WO2019153972A1 publication Critical patent/WO2019153972A1/zh

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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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/377—Electroencephalography [EEG] using evoked responses
    • A61B5/38—Acoustic or auditory stimuli
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43—Querying
    • G06F16/435—Filtering based on additional data, e.g. user or group profiles
    • G06F16/436—Filtering based on additional data, e.g. user or group profiles using biological or physiological data of a human being, e.g. blood pressure, facial expression, gestures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • 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
    • G06F3/03—Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • G06F3/0354—Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
    • G06F3/03547—Touch pads, in which fingers can move on a surface
    • 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
    • G06F3/16—Sound input; Sound output
    • G06F3/167—Audio in a user interface, e.g. using voice commands for navigating, audio feedback
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services
    • 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
    • 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
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0487—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser
    • G06F3/0488—Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures

Definitions

  • the present application relates to the technical field of electronic devices, and mainly relates to an information pushing method and related products.
  • the embodiment of the present application provides an information pushing method and related products, which can improve the accuracy of information push and the convenience of operation.
  • an embodiment of the present application provides an information pushing method, including:
  • the recommended content associated with the sound information is pushed.
  • an embodiment of the present application provides an electronic device, including a processor, the processor, a brain wave sensor, a voice pickup, and a touch display screen, wherein:
  • the memory is configured to store a first threshold
  • the brain wave sensor is configured to collect a first brain wave signal
  • the voice pickup is configured to collect sound information
  • the processor is configured to acquire a degree of attention of the first brain wave signal to the sound information, and when the degree of attention is greater than the first threshold, search for a recommended content associated with the sound information;
  • the touch display screen is configured to push the recommended content.
  • an information pushing apparatus including:
  • An acquisition unit configured to collect first brain wave signals and sound information
  • a pushing unit configured to push the recommended content associated with the sound information when the degree of attention is greater than the first threshold.
  • an embodiment of the present application provides another information pushing method, which is applied to an electronic device including a processor, a memory connected to the processor, a brain wave sensor, a voice pickup, and a touch display screen, wherein:
  • the memory stores a first threshold
  • the brain wave sensor collects a first brain wave signal
  • the voice pickup collects sound information
  • the processor searches for recommended content associated with the sound information when the degree of interest is greater than the first threshold
  • the touch display screen pushes the recommended content.
  • an embodiment of the present application provides another electronic device, including a processor, a memory, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor.
  • the program includes instructions for some or all of the steps as described in the first aspect.
  • the embodiment of the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, wherein the computer program causes the computer to perform the first aspect of the embodiment of the present application.
  • an embodiment of the present application provides a computer program product, where the computer program product includes a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to execute Apply some or all of the steps described in the first aspect of the embodiment.
  • the computer program product can be a software installation package.
  • FIG. 1A is a schematic structural diagram of an electronic device according to an embodiment of the present application.
  • FIG. 1B is a schematic side view of an electronic device according to an embodiment of the present application.
  • FIG. 1C is a schematic diagram of a scene of a brainwave signal collected by a wearable device according to an embodiment of the present disclosure
  • 1D is a schematic diagram of a scene of collecting an electric brain wave signal by an electrode array according to an embodiment of the present application
  • FIG. 2 is a schematic flowchart of a method for pushing information according to an embodiment of the present application
  • FIG. 3 is a schematic flowchart of an information pushing apparatus according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of another electronic device according to an embodiment of the present disclosure.
  • FIG. 5 is a schematic flowchart diagram of another information pushing method according to an embodiment of the present application.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the electronic device involved in the embodiments of the present application may include various handheld devices having wireless communication functions, in-vehicle devices, wearable devices, computing devices, or other processing devices connected to the wireless modem, and various forms of user devices (User Equipment, UE), mobile station (MS), terminal device, and the like.
  • user devices User Equipment, UE
  • MS mobile station
  • terminal device terminal device, and the like.
  • electronic devices the devices mentioned above are collectively referred to as electronic devices.
  • the embodiments of the present application are described in detail below.
  • the embodiment of the present application provides an information pushing method and related products, which can improve the accuracy of information push and the convenience of operation.
  • the embodiments of the present application are described below with reference to the accompanying drawings.
  • the information pushing method is applicable to the electronic device 100 as shown in FIG. 1A.
  • the electronic device 100 includes a housing 110, a radio frequency circuit 120 disposed in the housing 110, and a processor 140.
  • the radio frequency circuit 120, the memory 150, the brain wave sensor 160, the voice pickup 170, and the touch display screen 130 are connected to the processor 140.
  • the brain wave sensor 160 is used for collecting brain wave signals.
  • the electroencephalogram (EEG) is a physiological index recorded after the synaptic potential of a large number of neurons simultaneously occurs when the brain is active, and the brain activity is recorded.
  • the change in electrical wave is the overall reflection of the electrophysiological activity of the brain's nerve cells on the surface of the cerebral cortex or scalp.
  • the human brain generates its own brain waves during rest, work, or entertainment.
  • the frequency range is usually between 0.1 Hz and 30 Hz, and can be divided into four bands, namely delta wave (1 to 4 Hz) and theta wave ( 4 to 8 Hz), alpha wave (8 to 13 Hz), and beta wave (13 to 30 Hz).
  • the above four kinds of waves can be further divided.
  • the beta wave includes a low-beta wave (13 to 15 Hz), a midrange wave (15 to 20 Hz), and a high-beta wave (20 to 30 Hz).
  • delta wave is a deep mode, no stress subconscious state
  • theta wave is deep sleep, non-rapid eye movement sleep, unconscious mental state
  • the beta wave is the mental state of stress, stress, and brain fatigue
  • the alpha wave is a relaxed, butacious, quiet, conscious state of mind, which is the best state of learning and thinking.
  • a gamma wave with a higher frequency than the beta wave is often seen, the frequency is 30-80 Hz, and the amplitude range is uncertain; while other waveforms may appear during sleep.
  • Special normal brain waves such as hump waves, sigma waves, lambda waves, kappa-composite waves, mu waves, etc.
  • the voice pickup 170 is used to collect sound information, which may be a microphone on the electronic device 100 as shown in FIG. 1B, or a microphone or other device on the earphone external to the electronic device 100.
  • the voice pickup device 170 collects the audio data, that is, converts the collected sound into an electrical signal, and then converts the electrical signal into an audio file corresponding to the digital signal, and uses the file corresponding to the audio data as a file. Sound information.
  • the memory 150 can be used to store software programs and function modules, and the processor 140 executes various functional applications and data processing of the electronic device by running software programs and function modules stored in the memory.
  • the processor 140 is a control center for the electronic device that connects various portions of the entire electronic device using various interfaces and lines, by running or executing software programs and/or modules stored in the memory 150, and recalling data stored in the memory 150. , performing various functions and processing data of the electronic device to perform overall monitoring of the electronic device.
  • the radio frequency circuit 120 includes a receiver 122, a signal processor 123 connected to the receiver 122, and a transmitter 121 connected to the signal processor 123, wherein: the receiver 122 is configured to receive information sent by an external or processor, The signal processor 123 is for processing information received by the transmitter, and the transmitter 121 is for transmitting information acquired by the signal processor 123.
  • the radio frequency circuit 120 can also communicate with the network and other devices via wireless communication.
  • the present application is not limited to wireless communication, and may include a global system of mobile communication (GSM), a general packet radio service (GPRS), an e-mail, and a short messaging service (SMS). Wait.
  • GSM global system of mobile communication
  • GPRS general packet radio service
  • SMS short messaging service
  • the first brain wave signal in the preset range is acquired by the brain wave sensor 160
  • the sound information is collected by the voice pickup 170
  • the first brain wave signal is acquired by the processor 140.
  • the degree of attention to the sound information and when the degree of attention is greater than the first threshold, searching for the recommended content associated with the sound information, and pushing the recommended content through the touch display 130.
  • the whole process needs to first determine whether the attention of the first brain wave signal to the sound information is greater than the first threshold, and push in the case of yes, and the recommended content of the push is associated with the sound information, thereby improving the accuracy and convenience of the push operation. Sex.
  • the above electronic device is only an example, and the application is not limited.
  • the touch display screen may include a full screen, a double screen, a pressure screen, a foldable flexible display, a virtual display, etc.; and the memory may also include high speed random access.
  • the memory may further include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage device, etc.; the processor may be further refined into a dedicated processor, such as: artificial intelligence. (artificial intelligence, AI) processor, application processor (AP), baseband processor, brainwave processor, etc.; its RF circuit includes but is not limited to antenna, at least one amplifier, transceiver, coupler, low Low noise amplifier (LNA), duplexer, etc.
  • AI artificial intelligence
  • AP application processor
  • LNA low Low noise amplifier
  • the electronic device 100 further includes a light sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, and the like, an audio input interface, a serial port, a keyboard, a speaker, a charging interface, and the like, an input/output interface, a camera, and a Bluetooth module. Modules not shown.
  • the brain wave sensor 160 does not limit the specific form of the brain wave sensor 160.
  • the brain wave sensor may be placed as shown in FIG. 1C.
  • the brain wave signal is collected by the wearable electronic device, and the electronic device 100 is connected by wire, so that the electronic device acquires the brain wave signal; or the brain wave sensor shown in FIG. 1D is An electronic array that can be implanted or attached to the scalp of the target object collects brain wave signals through the above-mentioned electronic array, and establishes a connection with the electronic device 100 by wireless, so that the electronic device acquires brain wave signals and the like.
  • the above-mentioned wearable electronic device can also be connected to the electronic device 100 by wireless, and the electronic array can also be connected to the electronic device 100 by wire.
  • FIG. 2 is a schematic flowchart diagram of an information pushing method according to an embodiment of the present disclosure, which can be applied to an electronic device as described in FIG. 1A, 1B, 1C, and 1D. As shown in FIG. 2, the information pushing method includes:
  • the voice information may be a single user or multiple users; the first brain wave signal may also be a single user or multiple users, which is not limited herein.
  • detecting a touch operation on the electronic device if the touch operation meets a preset requirement, performing the step of acquiring the first brain wave signal and the sound information.
  • the touch operation and the preset requirement are not limited in the present application.
  • the touch operation may be a click operation, a double-click operation, a three-click operation, a sliding operation, a pressing operation, etc.
  • the preset requirement may be pressure, area, shape, and the like. That is to say, it is first determined whether the touch operation on the target device satisfies the preset requirement, and the first brain wave signal is collected when the preset requirement is met, thereby saving power consumption. Moreover, the above method is only executed when the preset requirement is met, which avoids misoperation and improves the accuracy of the operation.
  • the first brain wave signal and the sound information in a preset range are acquired.
  • the preset range may be a certain area centered on the electronic device, or may be a maximum value or a minimum value between the acquisition ranges of the brain wave sensor and the voice pickup.
  • the degree of attention is the degree of attention of the user to the voice message, and the degree of attention is obtained by analyzing the first brain wave signal.
  • the method for analyzing the first brain wave signal is not limited, and may be a frequency domain analysis method, or may be It is a classic time-frequency domain combined analysis method, such as spatiotemporal pattern analysis, statistical analysis, spatial filtering, fast Fourier transform, autoregressive model coefficients, coefficient mean and variance of wavelet and wavelet packets, bilingual estimation, and Hilbert Huang. Transform and so on.
  • the brain wave segment obtains a plurality of brain wave segments; analyzing each brain wave segment of the plurality of brain wave segments to obtain a plurality of brain wave parameters; and obtaining the degree of attention according to the plurality of brain wave parameters.
  • the speech recognition method is not limited, and the speech recognition technology and the voiceprint recognition technology may be used, and the sound information may be optimized, that is, the pronunciation problem, the dialect or the meaning of the sound information in the sound information is changed, thereby improving the text. Extract the accuracy of the keywords.
  • Brainwave parameters include, but are not limited to, one or more of the following: frequency, amplitude, waveform, spectrum, period, energy.
  • the analyzing each of the plurality of brain wave segments to obtain a plurality of brain wave parameters includes: preprocessing each brain wave segment of the plurality of brain wave segments to obtain a plurality of a first segment; identifying each of the plurality of first segments to obtain a plurality of second segments corresponding to the target user; analyzing each of the plurality of second segments to obtain The plurality of brain wave parameters.
  • the pre-processing includes, but is not limited to, amplification, filtering (de-noising), normalization, analog-to-digital conversion, signal separation, and the processing efficiency of the first brain wave signal is improved by the at least one pre-processing method described above, thereby improving acquisition.
  • the accuracy of attention includes, but is not limited to, amplification, filtering (de-noising), normalization, analog-to-digital conversion, signal separation, and the processing efficiency of the first brain wave signal is improved by the at least one pre-processing method described above, thereby improving acquisition. The accuracy of attention.
  • the first brain wave signal is weak, and the first brain wave signal is amplified to obtain a first brain wave signal having a larger amplitude, which is convenient for data processing; the frequency of useful information in the first brain wave signal is usually at (0.5 ⁇ 100Hz), other frequency components are largely introduced by noise.
  • the useless information in the first brain wave signal can be reduced, and the effectiveness of the first brain wave signal can be improved;
  • the conversion converts the acquired first brain wave signal into a digital signal;
  • the first brain wave signal may be composed of a plurality of human brain waves, and the first brain wave signal of each of the persons or the designated user may be obtained by signal separation, and Since the first brain wave signals of different people have large specific differences in amplitude, the first brain wave signals can be uniformly planned to the same scale by normalization processing.
  • the target user may be a user of the electronic device or a designated user who is a user who has previously recorded a characteristic signal of the brain wave signal in the electronic device.
  • pre-processing each brain wave segment to obtain a plurality of first segments can improve the accuracy of analyzing brain wave segments.
  • the first brain wave signal acquired by the present application may be the first brain wave signal of the plurality of users, and then identifying each of the first segments to obtain a plurality of second segments corresponding to the target user, the accuracy of the recommended content may be improved. And protect the privacy of other users.
  • Each second segment is then analyzed to obtain the plurality of brainwave parameters. In this way, the accuracy of analyzing brain wave segments is further improved.
  • the present application is not limited to the method for analyzing the attention of the brain wave parameters.
  • the preset condition is not limited. For example, when the brain wave parameter is frequency, the preset condition is greater than 13 Hz; when the brain wave parameter is amplitude, the preset condition is greater than the average amplitude.
  • the brain wave segment corresponding to the brain wave parameter that does not satisfy the preset condition is filtered out by the preset condition, thereby determining the brain wave segment associated with the sound information, and then determining the time of the first brain wave signal occupied by the brain wave segment. Attention.
  • the first threshold may be set in advance by the user, or may be a value calculated based on the amount of information of the voice information; the recommended content may be a push in the form of a text, an image, a video, or the like, which is not limited herein.
  • the degree of attention is greater than the first threshold, the recommended content associated with the sound information is pushed; otherwise, the next sound information whose degree of attention is greater than the first threshold is waited for. That is to say, the user's attention to the sound information is determined according to the first brain wave signal, and then the attention degree is pushed. The whole process does not require the user to manually search for the content corresponding to the sound information, thereby improving the flexibility of the push and the convenience of operation. .
  • the method further includes: acquiring an information amount of the sound information according to the plurality of keywords; and determining the first threshold according to the information amount.
  • the amount of information refers to the information metric or content required to select an event from N equal possible events, that is, the question "yes or no” in the process of identifying a specific event in the N events. The minimum number of times. Briefly, the amount of information includes the time required to hear and understand the voice message, the point of dispute, the related words involved in the voice message, and the amount of information involved in the related words, which are not limited herein.
  • the plurality of keywords corresponding to the sound information are extracted, and the amount of information of the voice message is obtained according to the information amount of the plurality of keywords, the relevance between the keywords, the preference of the keyword and the preference of the user, and the amount of information according to the amount of information.
  • the first threshold is determined, the minimum value of the attention to be pushed is determined by the first threshold, and the accuracy of pushing the recommended content can be improved.
  • the present application is not limited to how to search for the recommended content corresponding to the sound information.
  • the plurality of keywords are searched according to the plurality of keywords to obtain a plurality of reference recommended content; and the reference recommended content of each of the plurality of reference recommended content is obtained.
  • the hot search obtains a plurality of hot search values; and the recommended content is selected from the plurality of reference recommended content according to the plurality of hot search values and historical search records.
  • the hot search value refers to the search times of the recommended content.
  • the source of the hot search value is not limited, and may be a hot search value in a specified application, or a browser or other application installed in an electronic device.
  • the average value obtained by applying the counted number of searches is used as a hot search value; it can also be a hot search value in the area where the electronic device is located. For example, if the electronic device is located in the Nanshan District, only the hot search value of the Nanshan District can be obtained;
  • the search value for the specified time period for example, the current day, the previous week, or the current month).
  • the historical search record may be a search record in each application in a browser or other application installed in the electronic device, or may be a browsing record in an application that can be used for searching in the electronic device, which is not limited herein.
  • the user's preference can be obtained through the historical search record, that is, from the plurality of reference recommended content searched from the plurality of keywords corresponding to the sound information, according to the hot search value and history of each reference recommended content in the plurality of reference recommended contents.
  • the user preference of the search record is selected to select the recommended content, which improves the accuracy of pushing the recommended content.
  • the method further includes: acquiring a second brain wave signal when detecting a touch operation for the recommended content; acquiring the second brain wave signal pair Determining the preference of the recommended content; when the preference is greater than the second threshold, displaying the associated content associated with the recommended content.
  • the preference degree is the user's preference for the recommended content. That is, when the touch operation for the recommended content is detected, the second brain wave signal is collected, and the preference of the second brain wave signal for the recommended content is collected, and if the preference is greater than the second threshold, the search and recommended content are further searched. Related related content and display the associated content.
  • the method further includes: if the touch operation is not detected when the preset duration arrives, clearing the recommended content.
  • the second brain wave signal is pushed or not pushed according to the preference of the recommended content; if the touch operation is not detected, the automatic operation may be automatically performed. Clearing the recommended content, that is, providing a more reasonable and efficient operation according to detecting the user's touch operation for the recommended content.
  • the information pushing apparatus 300 includes:
  • the collecting unit 301 is configured to collect the first brain wave signal and the sound information
  • the acquiring unit 302 is configured to acquire the degree of attention of the first brain wave signal to the sound information
  • the pushing unit 303 is configured to push the recommended content associated with the sound information when the degree of interest is greater than the first threshold.
  • the acquisition unit 301 collects the first brain wave signal and the sound information
  • the obtaining unit 302 acquires the degree of attention of the first brain wave signal to the sound information
  • the pushing unit 303 pushes the sound information when the degree of attention is greater than the first threshold.
  • Recommended content of the association The whole process needs to first determine whether the attention of the first brain wave signal to the sound information is greater than the first threshold, and if yes, push, and the recommended content of the push is associated with the sound information, thereby improving the accuracy of the push operation.
  • the obtaining unit 302 is specifically configured to perform voice recognition on the voice information to obtain text information, extract a plurality of keywords corresponding to the text information, and extract the first brain wave signal from the first brain wave signal. Generating a plurality of brain wave segments corresponding to the brain wave segment corresponding to each of the plurality of keywords; analyzing each brain wave segment of the plurality of brain wave segments to obtain a plurality of brain wave parameters; The brain wave parameters acquire the degree of attention.
  • the obtaining unit 302 is specifically configured to preprocess each of the plurality of brain wave segments to obtain a plurality of first segments; and to each of the plurality of first segments The first segment is identified to obtain a plurality of second segments corresponding to the target user; and each of the plurality of second segments is analyzed to obtain the plurality of brainwave parameters.
  • the acquiring unit 302 is specifically configured to: select at least one target brain wave parameter from the plurality of brain wave parameters to select a brain wave parameter that meets a preset condition; and acquire the at least one target brain wave parameter.
  • the sum of the durations of the corresponding brain wave segments obtains the target duration; and the ratio of the target duration to the duration corresponding to the first brainwave signal is obtained to obtain the degree of attention.
  • the apparatus 300 further includes a searching unit 304, configured to perform a search according to the plurality of keywords to obtain a plurality of reference recommended content, and obtain a reference recommended content of each of the plurality of reference recommended content.
  • the hot search obtains a plurality of hot search values; and the recommended content is selected from the plurality of reference recommended content according to the plurality of hot search values and historical search records.
  • the obtaining unit 301 is further configured to acquire an information amount of the sound information according to the plurality of keywords; and determine the first threshold according to the information amount.
  • the apparatus 300 further includes a detecting unit 305 for detecting a touch operation for the recommended content; the collecting unit 301 is further configured to: when the detecting unit 305 detects the touch operation Obtaining a second brain wave signal; the obtaining unit 301 is further configured to acquire a preference of the second brain wave signal for the recommended content; the pushing unit 303 is further configured to use the preference level to be greater than a second threshold At the time, the associated content associated with the recommended content is displayed.
  • the pushing unit 303 is further configured to clear the recommended content if the touch operation is not detected when the preset time length arrives.
  • FIG. 4 is a schematic structural diagram of another electronic device according to an embodiment of the present application.
  • the electronic device 400 shown in FIG. 4 includes: a processor 410, a memory 420, a brain wave sensor 430, a voice pickup 440, and a touch display screen 450, the processor 410, the memory 420, the brain wave sensor 430, and the voice pickup.
  • the 440 and the touch display screen 450 are connected by a bus to implement communication.
  • the memory 420 is configured to store a first threshold; the brain wave sensor 430 is configured to acquire a first brain wave signal; the voice pickup 440 is configured to collect sound information; and the processor 410 is configured to: Obtaining a degree of attention of the first brain wave signal to the sound information; searching, when the degree of attention is greater than the first threshold, searching for recommended content associated with the sound information; Pushing the recommended content.
  • the brain wave sensor 430 collects the first brain wave signal
  • the voice pickup 440 collects the sound information
  • the processor 410 acquires the attention of the first brain wave signal to the sound information, and searches when the degree of attention is greater than the first threshold.
  • the touch screen 450 pushes the recommended content in association with the sound information. The whole process needs to first determine whether the attention of the first brain wave signal to the sound information is greater than the first threshold, and push in the case of yes, and the recommended content of the push is associated with the sound information, thereby improving the accuracy and convenience of the push operation. Sex.
  • the processor 410 is specifically configured to perform voice recognition on the voice information to obtain text information, extract multiple keywords corresponding to the text information, and extract from the first brain wave signal. Obtaining a plurality of brain wave segments for the brain wave segment corresponding to each of the plurality of keywords; and analyzing each brain wave segment of the plurality of brain wave segments to obtain a plurality of brain wave parameters; The brain wave parameters acquire the degree of attention.
  • the processor 410 is specifically configured to preprocess each of the plurality of brainwave segments to obtain a plurality of first segments; and for each of the plurality of first segments A first segment is identified to obtain a plurality of second segments corresponding to the target user; and each of the plurality of second segments is analyzed to obtain the plurality of brainwave parameters.
  • the memory 420 is further configured to store a preset condition; the processor 410 is specifically configured to: select at least one brainwave parameter that meets the preset condition from the plurality of brain wave parameters a target brain wave parameter; obtaining a sum of durations of the brain wave segments corresponding to the at least one target brain wave parameter to obtain a target duration; obtaining a ratio of the target duration to a duration corresponding to the first brain wave signal to obtain the attention degree .
  • the memory 420 is further configured to store a historical search record; the processor 410 is further configured to perform a search according to the plurality of keywords to obtain a plurality of reference recommended content; and obtain the multiple reference recommendations.
  • the hot search value of each reference recommendation content in the content is obtained by multiple hot search values; the recommended content is selected from the plurality of reference recommended content according to the plurality of hot search values and the historical search record.
  • the processor 410 is further configured to acquire an information amount of the sound information according to the plurality of keywords; and determine the first threshold according to the information amount.
  • the touch display screen 450 is further configured to detect a touch operation and display related content for the recommended content;
  • the brain wave sensor 430 is further configured to collect a second brain wave signal;
  • the device 410 is further configured to acquire a preference of the second brain wave signal for the recommended content, and when the preference is greater than a second threshold, search for the associated content associated with the recommended content.
  • the memory 420 is further configured to store a preset duration; the touch display screen 450 is further configured to: if the touch operation is not detected when the preset duration arrives, clear the recommendation content.
  • FIG. 5 is a schematic flowchart of another information pushing method according to an embodiment of the present application, which is applied to the electronic device as described in FIG. among them:
  • the memory stores a first threshold
  • the brain wave sensor collects the first brain wave signal
  • the voice pickup collects sound information
  • the processor acquires a degree of attention of the first brain wave signal to the sound information.
  • the processor searches for recommended content associated with the sound information when the degree of attention is greater than the first threshold
  • the touch display pushes the recommended content.
  • the brain wave sensor collects the first brain wave signal, the voice pickup sound information, the processor acquires the attention of the first brain wave signal to the sound information, and when the degree of attention is greater than the first threshold, the search is related to the sound information.
  • the recommended content of the link, the touch display pushes the recommended content. The whole process needs to first determine whether the attention of the first brain wave signal to the sound information is greater than the first threshold, and push in the case of yes, and the recommended content of the push is associated with the sound information, thereby improving the accuracy and convenience of the push operation. Sex.
  • the processor acquires the attention of the first brain wave signal to the sound information, including:
  • the processor performs voice recognition on the voice information to obtain text information; and extracts a plurality of keywords corresponding to the text information;
  • the processor extracts, from the first brain wave signal, a brain wave segment corresponding to each keyword of the plurality of keywords to obtain a plurality of brain wave segments;
  • the processor analyzes each of the plurality of brain wave segments to obtain a plurality of brain wave parameters
  • the processor acquires the degree of attention according to the plurality of brain wave parameters.
  • the processor analyzes each of the plurality of brainwave segments to obtain a plurality of brainwave parameters, including:
  • the processor performs pre-processing on each of the plurality of brain wave segments to obtain a plurality of first segments
  • the processor identifies each of the plurality of first segments to obtain a plurality of second segments corresponding to the target user;
  • the processor analyzes each of the plurality of second segments to obtain the plurality of brainwave parameters.
  • the processor acquires the attention according to the plurality of brain wave parameters, including:
  • the memory stores a preset condition
  • the processor selects a brain wave parameter that meets the preset condition from the plurality of brain wave parameters to obtain at least one target brain wave parameter;
  • the method further includes:
  • the memory stores a history search record
  • the processor searches for the plurality of reference recommended content according to the plurality of keywords; and obtains a hot search value of each reference recommended content of the plurality of reference recommended content to obtain a plurality of hot search values;
  • the hot search value and the historical search record select the recommended content from the plurality of reference recommended content.
  • the method further includes:
  • the processor acquires an information amount of the sound information according to the plurality of keywords
  • the processor determines the first threshold based on the amount of information.
  • the method further includes:
  • the touch display screen detects a touch operation for the recommended content
  • the brain wave sensor collects a second brain wave signal
  • the processor acquires a preference for the recommended content by the second brain wave signal; and when the preference is greater than a second threshold, searching for associated content associated with the recommended content;
  • the touch display screen displays the associated content.
  • the method further includes:
  • the memory stores a preset duration
  • the touch display screen clears the recommended content if the touch operation is not detected when the preset time length arrives.
  • the embodiment of the present application further provides a computer storage medium, wherein the computer storage medium is stored for storing a computer program, the computer program causing the computer to perform some or all of the steps of any of the methods described in the foregoing method embodiments,
  • the computer includes electronic devices.
  • the embodiment of the present application further provides a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the operations as recited in the foregoing method embodiments Part or all of the steps of either method.
  • the computer program product can be a software installation package, the computer including an electronic device.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the 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 standalone product, may be stored in a computer readable memory.
  • a computer readable memory A number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing memory includes: a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk, and the like, which can store program codes.

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Abstract

一种信息推送方法及相关产品，其中方法包括：采集第一脑电波信号和声音信息(201)；获取所述第一脑电波信号对所述声音信息的关注度(202)；在所述关注度大于第一阈值时，推送与所述声音信息相关联的推荐内容(203)。采用该方法和产品，可提高信息推送操作的准确率和便利性。

Description

信息推送方法及相关产品
本申请要求于2018年02月11日提交中国专利局、申请号为201810144003.0、发明名称为“信息推送方法及相关产品”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及电子设备技术领域，主要涉及了一种信息推送方法及相关产品。
背景技术
随着电子设备技术的不断发展，手机、计算机、平板等电子设备的使用越来越普及，且电子设备越来越智能。在公众场合下往往可听到其它陌生人热聊的新闻、广播里未听清的广告、天气、路况等信息，而用户自行检索相关内容的准确率低，且操作的便利性不足。
申请内容
本申请实施例提供了一种信息推送方法及相关产品，可以提高信息推送的准确率和操作的便利性。
第一方面，本申请实施例提供一种信息推送方法，包括：
采集第一脑电波信号和声音信息；
获取所述第一脑电波信号对所述声音信息的关注度；
在所述关注度大于第一阈值时，推送与所述声音信息相关联的推荐内容。
第二方面，本申请实施例提供一种电子设备，包括处理器、与所述处理器、脑电波传感器、语音拾取器和触控显示屏，其中：
所述存储器，用于存储第一阈值；
所述脑电波传感器，用于采集第一脑电波信号；
所述语音拾取器，用于采集声音信息；
所述处理器，用于获取所述第一脑电波信号对所述声音信息的关注度；在所述关注度大于所述第一阈值时，搜索与所述声音信息相关联的推荐内容；
所述触控显示屏，用于推送所述推荐内容。
第三方面，本申请实施例提供一种信息推送装置，包括：
采集单元，用于采集第一脑电波信号和声音信息；
获取单元，获取所述第一脑电波信号对所述声音信息的关注度；
推送单元，用于在所述关注度大于第一阈值时，推送与所述声音信息相关联的推荐内容。
第四方面，本申请实施例提供了另一种信息推送方法，应用于包括处理器、与所述处理器连接的存储器、脑电波传感器、语音拾取器和触控显示屏的电子设备，其中：
所述存储器存储第一阈值；
所述脑电波传感器采集第一脑电波信号；
所述语音拾取器采集声音信息；
所述处理器获取所述第一脑电波信号对所述声音信息的关注度；
所述处理器在所述关注度大于所述第一阈值时，搜索与所述声音信息相关联的推荐内容；
所述触控显示屏推送所述推荐内容。
第五方面，本申请实施例提供另一种电子设备，包括处理器、存储器以及一个或多个程序，其中，上述一个或多个程序被存储在上述存储器中，并且被配置由上述处理器执行，所述程序包括用于如第一方面中所描述的部分或全部步骤的指令。
第六方面，本申请实施例提供了一种计算机可读存储介质，其中，所述计算机可读存储介质存储计算机程序，其中，所述计算机程序使得计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。
第七方面，本申请实施例提供了一种计算机程序产品，其中，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如本申请实施例第一方面中所描述的部分或全部步骤。该计算机程序产品可以为一个软件安装包。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
其中：
图1A为本申请实施例提供的一种电子设备的结构示意图；
图1B为本申请实施例提供的一种电子设备的侧面示意图；
图1C为本申请实施例提供的一种可穿戴设备采集脑电波信号的场景示意图；
图1D为本申请实施例提供的一种电极阵列采集脑电波信号的场景示意图；
图2为本申请实施例提供的一种信息推送方法的流程示意图；
图3为本申请实施例提供的一种信息推送装置的流程示意图；
图4为本申请实施例提供的另一种电子设备的结构示意图；
图5为本申请实施例提供的另一种信息推送方法的流程示意图。
具体实施方式
为了使本技术领域的人员更好地理解本申请方案，下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包括。例如包括了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其他步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包括在本申请的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本申请实施例所涉及到的电子设备可以包括各种具有无线通信功能的手持设备、车载设备、可穿戴设备、计算设备或连接到无线调制解调器的其他处理设备，以及各种形式的用户设备(User Equipment，UE)，移动台(Mobile Station，MS)，终端设备(terminal device)等等。为方便描述，上面提到的设备统称为电子设备。下面对本申请实施例进行详细介绍。
本申请实施例提供了一种信息推送方法及相关产品，可以提高信息推送的准确率和操作的便利性。下面结合附图对本申请实施例进行介绍。
上述信息推送方法可应用于如图1A所示的电子设备100，如图1A所示，上述电子设备100包括：壳体110、设置于所述壳体110内的射频电路120、处理器140、存储器150、脑电波传感器160、语音拾取器170和设置于所述壳体110上的触控显示屏130。其中，所述射频电路120、所述存储器150、所述脑电波传感器160、所述语音拾取器170和所述触控显示屏130与所述处理器140连接。
其中，脑电波传感器160用于采集脑电波信号，脑电波(electroencephalogram，EEG)是在大脑在活动时，大量神经元同步发生的突触后电位经总和后形成的生理指标记录，记录了大脑活动时的电波变化，是脑神经细胞的电生理活动在大脑皮层或头皮表面的总体反映。
人脑在休息时、工作时或娱乐时会产生自己的脑电波，其频率变动范围通常在0.1Hz～30Hz之间，可划分为四个波段，即delta波(1～4Hz)、theta波(4～8Hz)、alpha波(8～13Hz)、beta波(13～30Hz)。其中，上述4种波可进一步进行划分，例如：beta波包括low-beta波(13～ 15Hz)、midrange波(15～20Hz)和high-beta波(20～30Hz)。且上述4种波与人的各项生理及心理活动有着密切的关系，例如：delta波为深度方式、无压力的潜意识状态；theta波为深度睡眠、非快动眼睡眠、无意识的精神状态；beta波为紧张、压力、脑疲劳的精神状态；alpha波为放松、但不倦怠、安静、有意识的精神状态，是学习与思考的最佳状态。除此之外，在觉醒并专注于某一事时，常可见一种频率较beta波更高的gamma波，其频率为30～80Hz，波幅范围不定；而在睡眠时还可出现另一些波形较为特殊的正常脑电波，如驼峰波、sigma波、lambda波、kappa-复合波、mu波等。
在本申请中，语音拾取器170用于采集声音信息，可以是如图1B所示的电子设备100上的麦克风，还可以是电子设备100外接的耳机上的话筒或其他设备。在启动采集功能之后，语音拾取设备170对音频数据进行采集，也就是将采集得到的声音转换成电信号，再将电信号转换为数字信号对应的音频文件的过程，将音频数据对应的文件作为声音信息。
存储器150可用于存储软件程序以及功能模块，处理器140通过运行存储在存储器的软件程序以及功能模块，从而执行电子设备的各种功能应用以及数据处理。
处理器140是电子设备的控制中心，利用各种接口和线路连接整个电子设备的各个部分，通过运行或执行存储在存储器150内的软件程序和/或模块，以及调用存储在存储器150内的数据，执行电子设备的各种功能和处理数据，从而对电子设备进行整体监控。
射频电路120包括接收器122、与所述接收器122连接的信号处理器123和与所述信号处理器123连接的发射器121，其中：接收器122用于接收外部或处理器发送的信息，信号处理器123用于处理发射器所接收的信息，发射器121用于发送信号处理器123所获取的信息。此外，射频电路120还可以通过无线通信与网络和其他设备通信。本申请对于无线通信不作限定，可包括全球移动通讯系统(global system of mobile communication，GSM)、通用分组无线服务(general packet radio service，GPRS)、电子邮件、短消息服务(short messaging service，SMS)等。
启动本申请实施中的功能后，可执行如下步骤：通过脑电波传感器160获取预设范围内的第一脑电波信号，通过语音拾取器170采集声音信息，通过处理器140获取第一脑电波信号对声音信息的关注度，并在关注度大于第一阈值时，搜索与声音信息相关联的推荐内容，并通过触控显示屏130推送该推荐内容。整个过程需先判断第一脑电波信号对声音信息的关注度是否大于第一阈值，在是的情况下进行推送，且推送的推荐内容与声音信息相关联，提高了推送操作的准确性和便利性。
以上电子设备仅为举例，本申请不作限定，其触控显示屏可包括全面屏、双面屏、压力屏、可折叠的柔性显示屏、虚拟显示屏等；其存储器还可包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件等；其处理器还可进一步细化为专门用途的处理器，例如：人工智能(artificial intelligence，AI)处理器，应用处理器(application processor，AP)、基带处理器和脑电波 处理器等；其射频电路包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器(low noise amplifier，LNA)、双工器等。
此外，电子设备100还包括光传感器、陀螺仪、气压计、湿度计、温度计、红外线传感器等等传感器，音频输入接口、串行端口、键盘、扬声器、充电接口等输入输出接口，摄像头、蓝牙模块等未示出的模块。
本申请对于脑电波传感器160的具体形式不作限定，除了如图1A所示的，将脑电波传感器集成于电子设备100的壳体110之中，还可如图1C所示，脑电波传感器置于可穿戴的电子设备之中，通过可穿戴的电子设备采集脑电波信号，并通过有线方式与电子设备100建立连接，从而电子设备获取脑电波信号；也可以如图1D所示的脑电波传感器为可植入或贴于目标对象头皮的电子阵列，通过上述电子阵列采集脑电波信号，并通过无线方式与电子设备100建立连接，从而电子设备获取脑电波信号等。上述的可穿戴的电子设备也可通过无线方式与电子设备100连接，电子阵列也可通过有线方式与电子设备100连接。
具体的，请参照图2，图2为本申请实施例提供的一种信息推送方法的流程示意图，可应用于如图1A、1B、1C、1D等所描述的电子设备。如图2所示，信息推送方法包括：
201：采集第一脑电波信号和声音信息。
在本申请中，上述声音信息可以是单个用户的，也可以是多个用户的；第一脑电波信号也可以是单个用户或多个用户的，在此不作限定。
可选的，检测在电子设备上的触摸操作；若所述触摸操作满足预设要求，执行所述采集第一脑电波信号和声音信息的步骤。
本申请对于触摸操作和预设要求也不作限定，触摸操作可以是单击操作、双击操作、三击操作、滑动操作、按压操作等，预设要求可以是压力、面积、形状等。也就是说，先判断在目标设备上的触摸操作是否满足预设要求，在满足预设要求时采集第一脑电波信号，从而节省功耗。且上述方法仅在满足预设要求时才执行，避免了误操作，可提高操作的准确性。
可选的，获取预设范围内的所述第一脑电波信号和所述声音信息。
其中，预设范围可以是以电子设备为中心的某一块区域，也可以是脑电波传感器和语音拾取器的采集范围之间的最大值或最小值等。当获取预设范围内的第一脑电波信号和声音信息时，可提高数据采集的准确率。
202：获取所述第一脑电波信号对所述声音信息的关注度。
在本申请中，关注度为用户对声音消息的关注程度，通过分析第一脑电波信号获取关注度，本申请对于分析第一脑电波信号的方法不作限定，可以是频域分析方法，也可以是经典的时频域结合分析方法，比如时空模式分析、统计分析、空间滤波、快速傅里叶变换、自回归模型系数，小波和小波包的系数均值和方差、双语估计以及希尔伯特黄变换等等。
可选的，对所述声音信息进行语音识别得到文字信息；提取所述文字信息对应的多个 关键词；从所述第一脑电波信号中提取所述多个关键词中每一关键词对应的脑电波片段得到多个脑电波片段；对所述多个脑电波片段中每一脑电波片段进行分析得到多个脑电波参数；根据所述多个脑电波参数获取所述关注度。
其中，对于语音识别方法不作限定，可采用语音识别技术和声纹识别技术等，也可优化声音信息，即区别声音信息中的发音问题、方言或将意思转换为便于理解的文字，从而提高了提取关键词的准确性。
从第一脑电波信号中提取与声音信息对应的关键词对应的脑电波片段，即脑电波片段与至少一个关键词对应，过滤掉了与声音信息不相关或不太相关的脑电波片段，从而提高了脑电波片段的处理效率和获取关注度的准确率。
本申请对于脑电波片段的分析方法也不做限定，可参照第一脑电波信号的分析方法，在此不再赘述。脑电波参数包括但不限于以下一项或多项：频率、振幅、波形、频谱、周期、能量。
可选的，所述对所述多个脑电波片段中每一脑电波片段进行分析得到多个脑电波参数，包括：对所述多个脑电波片段中每一脑电波片段进行预处理得到多个第一片段；对所述多个第一片段中每一第一片段进行识别得到目标用户对应的多个第二片段；对所述多个第二片段中每一第二片段进行分析，得到所述多个脑电波参数。
其中，预处理包括但不限于放大、滤波(去噪)、归一化、模数转换、信号分离，通过上述的至少一种预处理方式提高了第一脑电波信号的处理效率，从而提高获取关注度的准确率。
举例来说，第一脑电波信号较弱，对第一脑电波信号进行放大可得到幅度较大的第一脑电波信号，便于进行数据处理；第一脑电波信号中的有用信息频率通常处在(0.5～100Hz)，其它频率成分很大程度上是噪声引入的，通过滤波(或去噪)可减少第一脑电波信号中无用信息，提高第一脑电波信号的有效性；通过模数AD转换将获取到的第一脑电波信号转换为数字信号；上述第一脑电波信号可能由多人的脑电波组成，则通过信号分离可得到其中每一人或指定用户的第一脑电波信号，且由于不同人的第一脑电波信号在幅度上具有较大的特异性差异，通过归一化处理可将第一脑电波信号统一规划到相同的尺度上。
在本申请中，目标用户可以为电子设备的使用者或指定用户，该目标用户为预先在该电子设备中录入脑电波信号的特征信号的用户。
可以理解，先对各个脑电波片段进行预处理以得到多个第一片段，可提高分析脑电波片段的准确性。由于本申请所获取的第一脑电波信号可能为多个用户的第一脑电波信号，再对各个第一片段进行识别以得到目标用户对应的多个第二片段，可提高推荐内容的准确性，并保护其他用户的隐私。然后对各个第二片段进行分析以得到所述多个脑电波参数。如此，进一步提高了分析脑电波片段的准确率。
本申请对于分析脑电波参数获取关注度的方法不做限定，可选的，从所述多个脑电波 参数中选取符合预设条件的脑电波参数得到至少一个目标脑电波参数；获取所述至少一个目标脑电波参数对应的脑电波片段的时长之和得到目标时长；获取所述目标时长和所述第一脑电波信号对应的时长之比得到所述关注度。
其中，对于预设条件也不做限定，例如：当脑电波参数为频率时，预设条件为大于13Hz；当脑电波参数为振幅时，预设条件为大于平均幅度等。通过预设条件过滤掉其它不满足预设条件的脑电波参数对应的脑电波片段，从而确定了与声音信息关联的脑电波片段，再根据该脑电波片段所占用第一脑电波信号的时间确定关注度。
203：在所述关注度大于第一阈值时，推送与所述声音信息相关联的推荐内容。
在本申请中，第一阈值可以是用户预先设置的，也可以是根据声音信息的信息量进行计算得到的值等；推荐内容可以是文字、图像、视频等形式的推送，在此不作限定。
若关注度大于第一阈值，则推送与所述声音信息相关联的推荐内容；否则，等待下一次关注度大于第一阈值的声音信息。也就是说，根据第一脑电波信号确定用户对声音信息的关注度，再针对关注度进行推送，整个过程无需用户手动搜索声音信息对应的内容，从而提高了推送的灵活性和操作的便利性。
可选的，所述方法还包括：根据所述多个关键词获取所述声音信息的信息量；根据所述信息量确定所述第一阈值。
其中，信息量是指从N个相等可能事件中选出一个事件所需要的信息度量或含量，也就是在辩识N个事件中特定的一个事件的过程中所需要提问"是或否"的最少次数。简单来说，信息量包括听到和理解该声音消息所需要的时间、争议点、该声音消息中涉及的关联词及关联词涉及的信息量等，在此不作唯一限定。
可以理解，提取声音信息对应的多个关键词，根据多个关键字本身的信息量、关键字之间的关联性、关键字与用户的偏好度等获取声音消息的信息量，再根据信息量确定第一阈值，则通过第一阈值确定进行推送的关注度的最小值，可提高推送推荐内容的准确性。
本申请对于如何搜索与声音信息对应的推荐内容不作限定，可选的，根据所述多个关键词进行搜索得到多个参考推荐内容；获取所述多个参考推荐内容中每一参考推荐内容的热搜值得到多个热搜值；根据所述多个热搜值和历史搜索记录从所述多个参考推荐内容中选取所述推荐内容。
其中，上述热搜值为参考推荐内容的搜索次数，本申请对于热搜值的来源不作限定，可以是指定应用中的热搜值，或将电子设备中安装的浏览器或其它应用中每一应用所统计的搜索次数而获取的平均值作为热搜值；也可以是电子设备所处区域内的热搜值，例如：电子设备位于南山区，则仅获取南山区的热搜值；还可以指定时间段内(例如，当天、前一周或当月等)的搜索值。
历史搜索记录可以是电子设备中安装的浏览器或其它应用中每一应用中的搜索记录，也可以是电子设备中可用于搜索的应用中浏览记录，在此不作限定。通过历史搜索记录可 获取用户的偏好度，即从根据声音信息对应的多个关键词搜索到的多个参考推荐内容中，根据多个参考推荐内容中每一参考推荐内容的热搜值和历史搜索记录对应的用户偏好度选取推荐内容，提高了推送推荐内容的准确性。
可选的，在所述推送所述推荐内容之后，所述方法还包括：在检测到针对所述推荐内容的触摸操作时，采集第二脑电波信号；获取所述第二脑电波信号对所述推荐内容的偏好度；在所述偏好度大于第二阈值时，显示与所述推荐内容相关联的关联内容。
其中，偏好度为用户对推荐内容的喜好程度。也就是说，在检测到针对推荐内容的触摸操作时，采集第二脑电波信号，并采集第二脑电波信号针对推荐内容的偏好度，若偏好度大于第二阈值，则进一步搜索与推荐内容相关的关联内容，并显示该关联内容。
可选的，所述方法还包括：若在所述预设时长到达时未检测到所述触摸操作，清除所述推荐内容。
可以理解，在预设时长内，若检测到针对推荐内容的触摸操作，根据采集的第二脑电波信号针对推荐内容的偏好度进行推送或不推送；若未检测到上述触摸操作，则可自动清除推荐内容，即根据检测用户针对推荐内容的触摸操作，提供更为合理且高效的操作。
与图2所示的实施例一致，请参照图3，图3是本申请实施例提供的一种信息推送装置的结构示意图，应用于如图1A、1B、1C、1D等所描述的电子设备。如图3所示，该信息推送装置300包括：
采集单元301，用于采集第一脑电波信号和声音信息；
获取单元302，用于获取所述第一脑电波信号对所述声音信息的关注度；
推送单元303，用于在所述关注度大于第一阈值时，推送与所述声音信息相关联的推荐内容。
可以看出，采集单元301采集第一脑电波信号和声音信息，获取单元302获取第一脑电波信号对声音信息的关注度，推送单元303在关注度大于第一阈值时，推送与声音信息相关联的推荐内容。整个过程需先判断第一脑电波信号对声音信息的关注度是否大于第一阈值，在是的情况下进行推送，且推送的推荐内容与声音信息相关联，提高了推送操作的准确性。
在一个可能的示例中，所述获取单元302具体用于对所述声音信息进行语音识别得到文字信息；提取所述文字信息对应的多个关键词；从所述第一脑电波信号中提取所述多个关键词中每一关键词对应的脑电波片段得到多个脑电波片段；对所述多个脑电波片段中每一脑电波片段进行分析得到多个脑电波参数；根据所述多个脑电波参数获取所述关注度。
在一个可能的示例中，所述获取单元302具体用于对所述多个脑电波片段中每一脑电波片段进行预处理得到多个第一片段；对所述多个第一片段中每一第一片段进行识别得到目标用户对应的多个第二片段；对所述多个第二片段中每一第二片段进行分析得到所述多 个脑电波参数。
在一个可能的示例中，所述获取单元302具体用于从所述多个脑电波参数中选取符合预设条件的脑电波参数得到至少一个目标脑电波参数；获取所述至少一个目标脑电波参数对应的脑电波片段的时长之和得到目标时长；获取所述目标时长和所述第一脑电波信号对应的时长之比得到所述关注度。
在一个可能的示例中，所述装置300还包括搜索单元304，用于根据所述多个关键词进行搜索得到多个参考推荐内容；获取所述多个参考推荐内容中每一参考推荐内容的热搜值得到多个热搜值；根据所述多个热搜值和历史搜索记录从所述多个参考推荐内容中选取所述推荐内容。
在一个可能的示例中，所述获取单元301还用于根据所述多个关键词获取所述声音信息的信息量；根据所述信息量确定所述第一阈值。
在一个可能的示例中，所述装置300还包括检测单元305，用于检测针对所述推荐内容的触摸操作；所述采集单元301还用于在所述检测单元305检测到所述触摸操作时，采集第二脑电波信号；所述获取单元301还用于获取所述第二脑电波信号对所述推荐内容的偏好度；所述推送单元303还用于在所述偏好度大于第二阈值时，显示与所述推荐内容相关联的关联内容。
在一个可能的示例中，所述推送单元303还用于若在预设时长到达时未检测到所述触摸操作，清除所述推荐内容。
可以理解的是，本实施例的信息推送装置的各程序模块的功能可根据信息推送方法实施例中的方法具体实现，其具体实现过程可以参照方法实施例的相关描述，此处不再赘述。
与图2所示的实施例一致，请参照图4，图4为本申请实施例提供的另一种电子设备的结构示意图。如图4所示的电子设备400包括：处理器410、存储器420、脑电波传感器430、语音拾取器440和触控显示屏450，上述处理器410、存储器420、脑电波传感器430、语音拾取器440和触控显示屏450通过总线进行连接，从而实现通信。
在本申请中，所述存储器420用于存储第一阈值；所述脑电波传感器430用于采集第一脑电波信号；所述语音拾取器440用于采集声音信息；所述处理器410用于获取所述第一脑电波信号对所述声音信息的关注度；在所述关注度大于所述第一阈值时，搜索与所述声音信息相关联的推荐内容；所述触控显示屏450用于推送所述推荐内容。
可以看出，脑电波传感器430采集第一脑电波信号，语音拾取器440采集音信息，处理器410获取第一脑电波信号对声音信息的关注度，并在关注度大于第一阈值时，搜索与声音信息相关联的推荐内容，触控显示屏450推送该推荐内容。整个过程需先判断第一脑电波信号对声音信息的关注度是否大于第一阈值，在是的情况下进行推送，且推送的推荐内容与声音信息相关联，提高了推送操作的准确性和便利性。
在一个可能的示例中，所述处理器410具体用于对所述声音信息进行语音识别，得到文字信息；提取所述文字信息对应的多个关键词；从所述第一脑电波信号中提取所述多个关键词中每一关键词对应的脑电波片段得到多个脑电波片段；对所述多个脑电波片段中每一脑电波片段进行分析得到多个脑电波参数；根据所述多个脑电波参数获取所述关注度。
在一个可能的示例中，所述处理器410具体用于对所述多个脑电波片段中每一脑电波片段进行预处理，得到多个第一片段；对所述多个第一片段中每一第一片段进行识别，得到目标用户对应的多个第二片段；对所述多个第二片段中每一第二片段进行分析，得到所述多个脑电波参数。
在一个可能的示例中，所述存储器420还用于存储预设条件；所述处理器410具体用于从所述多个脑电波参数中选取符合所述预设条件的脑电波参数得到至少一个目标脑电波参数；获取所述至少一个目标脑电波参数对应的脑电波片段的时长之和得到目标时长；获取所述目标时长和所述第一脑电波信号对应的时长之比得到所述关注度。
在一个可能的示例中，所述存储器420还用于存储历史搜索记录；所述处理器410还用于根据所述多个关键词进行搜索得到多个参考推荐内容；获取所述多个参考推荐内容中每一参考推荐内容的热搜值得到多个热搜值；根据所述多个热搜值和所述历史搜索记录从所述多个参考推荐内容中选取所述推荐内容。
在一个可能的示例中，所述处理器410还用于根据所述多个关键词获取所述声音信息的信息量；根据所述信息量确定所述第一阈值。
在一个可能的示例中，所述触控显示屏450还用于检测针对所述推荐内容的触摸操作和显示关联内容；所述脑电波传感器430还用于采集第二脑电波信号；所述处理器410还用于获取所述第二脑电波信号对所述推荐内容的偏好度；在所述偏好度大于第二阈值时，搜索与所述推荐内容相关联的所述关联内容。
在一个可能的示例中，所述存储器420还用于存储预设时长；所述触控显示屏450还用于若在所述预设时长到达时未检测到所述触摸操作，清除所述推荐内容。
与图2所示的实施例一致，请参照图5，图5为本申请实施例提供的另一种信息推送方法的流程示意图，应用于如图4所描述的电子设备。其中：
501：存储器存储第一阈值；
502：脑电波传感器采集第一脑电波信号；
503：语音拾取器采集声音信息；
504：处理器获取所述第一脑电波信号对所述声音信息的关注度；
505：所述处理器在所述关注度大于所述第一阈值时，搜索与所述声音信息相关联的推荐内容；
506：触控显示屏推送所述推荐内容。
可以看出，脑电波传感器采集第一脑电波信号，语音拾取器声音信息，处理器获取第一脑电波信号对声音信息的关注度，并在关注度大于第一阈值时，搜索与声音信息相关联的推荐内容，触控显示屏推送该推荐内容。整个过程需先判断第一脑电波信号对声音信息的关注度是否大于第一阈值，在是的情况下进行推送，且推送的推荐内容与声音信息相关联，提高了推送操作的准确性和便利性。
在一个可能的示例中，所述处理器获取所述第一脑电波信号对所述声音信息的关注度，包括：
所述处理器对所述声音信息进行语音识别得到文字信息；提取所述文字信息对应的多个关键词；
所述处理器从所述第一脑电波信号中提取所述多个关键词中每一关键词对应的脑电波片段得到多个脑电波片段；
所述处理器对所述多个脑电波片段中每一脑电波片段进行分析得到多个脑电波参数；
所述处理器根据所述多个脑电波参数获取所述关注度。
在一个可能的示例中，所述处理器对所述多个脑电波片段中每一脑电波片段进行分析得到多个脑电波参数，包括：
所述处理器对所述多个脑电波片段中每一脑电波片段进行预处理，得到多个第一片段；
所述处理器对所述多个第一片段中每一第一片段进行识别，得到目标用户对应的多个第二片段；
所述处理器对所述多个第二片段中每一第二片段进行分析，得到所述多个脑电波参数。
在一个可能的示例中，所述处理器根据所述多个脑电波参数获取所述关注度，包括：
所述存储器存储预设条件；
所述处理器从所述多个脑电波参数中选取符合所述预设条件的脑电波参数，得到至少一个目标脑电波参数；
所述处理器获取所述至少一个目标脑电波参数对应的脑电波片段的时长之和得到目标时长；
所述处理器获取所述目标时长和所述第一脑电波信号对应的时长之比得到所述关注度。
在一个可能的示例中，所述方法还包括：
所述存储器存储历史搜索记录；
所述处理器根据所述多个关键词进行搜索得到多个参考推荐内容；获取所述多个参考推荐内容中每一参考推荐内容的热搜值得到多个热搜值；根据所述多个热搜值和所述历史搜索记录从所述多个参考推荐内容中选取所述推荐内容。
在一个可能的示例中，所述方法还包括：
所述处理器根据所述多个关键词获取所述声音信息的信息量；
所述处理器根据所述信息量确定所述第一阈值。
在一个可能的示例中，在所述触控显示屏推送与所述声音信息相关联的推荐内容之后，所述方法还包括：
所述触控显示屏检测针对所述推荐内容的触摸操作；
所述脑电波传感器采集第二脑电波信号；
所述处理器获取所述第二脑电波信号对所述推荐内容的偏好度；在所述偏好度大于第二阈值时，搜索与所述推荐内容相关联的关联内容；
所述触控显示屏显示所述关联内容。
在一个可能的示例中，所述方法还包括：
所述存储器存储预设时长；
所述触控显示屏若在所述预设时长到达时未检测到所述触摸操作，清除所述推荐内容。
本申请实施例还提供一种计算机存储介质，其中，该计算机存储介质存储用于存储计算机程序，该计算机程序使得计算机执行如上述方法实施例中记载的任一方法的部分或全部步骤，所述计算机包括电子设备。
本申请实施例还提供一种计算机程序产品，所述计算机程序产品包括存储了计算机程序的非瞬时性计算机可读存储介质，所述计算机程序可操作来使计算机执行如上述方法实施例中记载的任一方法的部分或全部步骤。该计算机程序产品可以为一个软件安装包，所述计算机包括电子设备。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本申请并不受所描述的动作顺序的限制，因为依据本申请，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本申请所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储器中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储器中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储器包括：U盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成，该程序可以存储于一计算机可读存储器中，存储器可以包括：闪存盘、只读存储器、随机存取器(、磁盘或光盘等。
以上对本申请实施例进行了详细介绍，本文中应用了具体个例对本申请的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本申请的方法及其核心思想；同时，对于本领域的一般技术人员，依据本申请的思想，在具体实施方式及应用范围上均会有改变之处，综上所述，本说明书内容不应理解为对本申请的限制。

Claims (20)

  1. 一种信息推送方法，其特征在于，包括：
    采集第一脑电波信号和声音信息；
    获取所述第一脑电波信号对所述声音信息的关注度；
    在所述关注度大于第一阈值时，推送与所述声音信息相关联的推荐内容。
  2. 根据权利要求1所述的方法，其特征在于，所述获取所述第一脑电波信号对所述声音信息的关注度，包括：
    对所述声音信息进行语音识别，得到文字信息；
    提取所述文字信息对应的多个关键词；
    从所述第一脑电波信号中提取所述多个关键词中每一关键词对应的脑电波片段，得到多个脑电波片段；
    对所述多个脑电波片段中每一脑电波片段进行分析，得到多个脑电波参数；
    根据所述多个脑电波参数获取所述关注度。
  3. 根据权利要求2所述的方法，其特征在于，所述对所述多个脑电波片段中每一脑电波片段进行分析得到多个脑电波参数，包括：
    对所述多个脑电波片段中每一脑电波片段进行预处理，得到多个第一片段；
    对所述多个第一片段中每一第一片段进行识别，得到目标用户对应的多个第二片段；
    对所述多个第二片段中每一第二片段进行分析，得到所述多个脑电波参数。
  4. 根据权利要求2所述的方法，其特征在于，所述根据所述多个脑电波参数获取所述关注度，包括：
    从所述多个脑电波参数中选取符合预设条件的脑电波参数，得到至少一个目标脑电波参数；
    获取所述至少一个目标脑电波参数对应的脑电波片段的时长之和，得到目标时长；
    获取所述目标时长和所述第一脑电波信号对应的时长之比，得到所述关注度。
  5. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    根据所述多个关键词进行搜索，得到多个参考推荐内容；
    获取所述多个参考推荐内容中每一参考推荐内容的热搜值，得到多个热搜值；
    根据所述多个热搜值和历史搜索记录从所述多个参考推荐内容中选取所述推荐内容。
  6. 根据权利要求2所述的方法，其特征在于，所述方法还包括：
    根据所述多个关键词获取所述声音信息的信息量；
    根据所述信息量确定所述第一阈值。
  7. 根据权利要求1-6任一项所述的方法，其特征在于，在所述推送与所述声音信息相关联的推荐内容之后，所述方法还包括：
    在检测到针对所述推荐内容的触摸操作时，采集第二脑电波信号；
    获取所述第二脑电波信号对所述推荐内容的偏好度；
    在所述偏好度大于第二阈值时，显示与所述推荐内容相关联的关联内容。
  8. 根据权利要求7所述的方法，其特征在于，所述方法还包括：
    若在预设时长到达时未检测到所述触摸操作，清除所述推荐内容。
  9. 一种电子设备，其特征在于，包括处理器、与所述处理器连接的存储器、脑电波传感器、语音拾取器和触控显示屏，其中：
    所述存储器，用于存储第一阈值；
    所述脑电波传感器，用于采集第一脑电波信号；
    所述语音拾取器，用于采集声音信息；
    所述处理器，用于获取所述第一脑电波信号对所述声音信息的关注度；在所述关注度大于所述第一阈值时，搜索与所述声音信息相关联的推荐内容；
    所述触控显示屏，用于推送所述推荐内容。
  10. 根据权利要求9所述的电子设备，其特征在于，所述处理器具体用于对所述声音信息进行语音识别，得到文字信息；提取所述文字信息对应的多个关键词；从所述第一脑电波信号中提取所述多个关键词中每一关键词对应的脑电波片段，得到多个脑电波片段；对所述多个脑电波片段中每一脑电波片段进行分析，得到多个脑电波参数；根据所述多个脑电波参数获取所述关注度。
  11. 根据权利要求10所述的电子设备，其特征在于，所述处理器具体用于对所述多个脑电波片段中每一脑电波片段进行预处理，得到多个第一片段；对所述多个第一片段中每一第一片段进行识别，得到目标用户对应的多个第二片段；对所述多个第二片段中每一第二片段进行分析，得到所述多个脑电波参数。
  12. 根据权利要求10所述的电子设备，其特征在于，所述存储器，还用于存储预设条 件；
    所述处理器具体用于从所述多个脑电波参数中选取符合所述预设条件的脑电波参数，得到至少一个目标脑电波参数；获取所述至少一个目标脑电波参数对应的脑电波片段的时长之和，得到目标时长；获取所述目标时长和所述第一脑电波信号对应的时长之比，得到所述关注度。
  13. 根据权利要求10所述的电子设备，其特征在于，所述存储器，还用于存储历史搜索记录；
    所述处理器具体用于根据所述多个关键词进行搜索，得到多个参考推荐内容；获取所述多个参考推荐内容中每一参考推荐内容的热搜值，得到多个热搜值；根据所述多个热搜值和所述历史搜索记录从所述多个参考推荐内容中选取所述推荐内容。
  14. 根据权利要求10所述的电子设备，其特征在于，所述处理器还用于根据所述多个关键词获取所述声音信息的信息量；根据所述信息量确定所述第一阈值。
  15. 根据权利要求9-14任一项所述的电子设备，其特征在于，所述触控显示屏，还用于检测针对所述推荐内容的触摸操作和显示与所述推荐内容相关联的关联内容；
    所述脑电波传感器，还用于采集第二脑电波信号；
    所述处理器，还用于获取所述第二脑电波信号对所述推荐内容的偏好度；在所述偏好度大于第二阈值时，搜索所述关联内容。
  16. 根据权利要求15所述的电子设备，其特征在于，所述存储器还用于存储预设时长；所述触控显示屏还用于若在所述预设时长到达时未检测到所述触摸操作，清除所述推荐内容。
  17. 一种信息推送装置，其特征在于，包括：
    采集单元，用于采集第一脑电波信号和声音信息；
    获取单元，用于获取所述第一脑电波信号对所述声音信息的关注度；
    推送单元，用于在所述关注度大于第一阈值时，推送与所述声音信息相关联的推荐内容。
  18. 一种信息推送方法，其特征在于，应用于包括处理器、与所述处理器连接的存储器、脑电波传感器、语音拾取器和触控显示屏的电子设备，其中：
    所述存储器存储第一阈值；
    所述脑电波传感器采集第一脑电波信号；
    所述语音拾取器采集声音信息；
    所述处理器获取所述第一脑电波信号对所述声音信息的关注度；在所述关注度大于所述第一阈值时，搜索与所述声音信息相关联的推荐内容；
    所述触控显示屏推送所述推荐内容。
  19. 一种电子设备，其特征在于，包括处理器、存储器、通信接口以及一个或多个程序，其中，所述一个或多个程序被存储在所述存储器中，并且被配置由所述处理器执行，所述程序包括用于执行权利要求1-8任一项方法中的步骤的指令。
  20. 一种计算机可读存储介质，其特征在于，其用于存储计算机程序，其中，所述计算机程序使得计算机执行如权利要求1-8任一项所述的方法。
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