CN110058892A - Electronic equipment exchange method, device, electronic equipment and storage medium - Google Patents

Abstract

The present application provides an electronic device interaction method, device, electronic device, and storage medium. The method includes, when a voice signal is detected, capturing a biometric feature of a user to which the voice signal belongs; and reading a target interaction corresponding to the biometric feature. data; controlling the electronic device to respond to the voice signal based on the target interaction data to interact with the user. When the application is woken up, intelligent control and optimization can be performed according to the interaction habits of different users and electronic devices, which can effectively meet the user's personalized interaction needs and improve the interaction experience.

Description

Electronic device interaction method, device, electronic device and storage medium

technical field

The present application relates to the technical field of electronic devices, and in particular, to an electronic device interaction method, apparatus, electronic device, and storage medium.

Background technique

In the related art, the electronic device uses a keyword to wake up when performing intelligent voice control, and only wakes up when the voice containing the keyword is collected, and then starts to recognize subsequent voice signals.

In this way, when the intelligent voice control function of the electronic device is awakened, it cannot perform intelligent control optimization according to the interaction habits of different users with the electronic device, and cannot meet the user's personalized interaction needs.

SUMMARY OF THE INVENTION

The present application aims to solve one of the technical problems in the related art at least to a certain extent.

Therefore, the purpose of this application is to propose an electronic device interaction method, device, electronic device and storage medium, which can intelligently control and optimize according to the interaction habits of different users and electronic devices when awakened, and can effectively meet the user's personality. Improve the interactive experience.

In order to achieve the above purpose, the electronic device interaction method proposed by the embodiment of the first aspect of the present application includes: when a voice signal is detected, capturing the biometric feature of the user to which the voice signal belongs; reading the target interaction corresponding to the biometric feature data; controlling the electronic device to respond to the voice signal based on the target interaction data to interact with the user.

The electronic device interaction method proposed by the embodiment of the first aspect of the present application captures the biometric features of the user to which the voice signal belongs when a voice signal is detected, reads target interaction data corresponding to the biometric feature, and controls the electronic device to interact based on the target The data responds to the voice signal to interact with the user. When awakened, it can be intelligently controlled and optimized according to the interaction habits of different users and electronic devices, which can effectively meet the user's personalized interaction needs and improve the interaction experience.

In order to achieve the above purpose, the electronic device interaction device proposed by the embodiment of the second aspect of the present application includes: a capture module for capturing the biological characteristics of the user to which the voice signal belongs when a voice signal is detected; a reading module for reading target interaction data corresponding to the biological feature; and a control module for controlling the electronic device to respond to the voice signal based on the target interaction data to interact with the user.

The electronic device interaction device proposed by the embodiment of the second aspect of the present application captures the biometric features of the user to which the voice signal belongs when the voice signal is detected, reads the target interaction data corresponding to the biometric feature, and controls the electronic device to interact based on the target The data responds to the voice signal to interact with the user. When awakened, it can be intelligently controlled and optimized according to the interaction habits of different users and electronic devices, which can effectively meet the user's personalized interaction needs and improve the interaction experience.

In order to achieve the above object, a third aspect of the present application further proposes an electronic device, the electronic device includes a casing, a processor, a memory, a circuit board and a power supply circuit, wherein the circuit board is arranged in a space enclosed by the casing. Inside the space, the processor and the memory are arranged on the circuit board; the power circuit is used to supply power to each circuit or device of the electronic device; the memory is used to store executable program codes; The processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute: when a voice signal is detected, capture the biological information of the user to which the voice signal belongs feature; read target interaction data corresponding to the biological feature; control the electronic device to respond to the voice signal based on the target interaction data to interact with the user.

The electronic device proposed by the embodiment of the third aspect of the present application captures the biometrics of the user to which the voice signal belongs when the voice signal is detected, reads the target interaction data corresponding to the biometrics, and controls the electronic device to respond based on the target interaction data The voice signal is used to interact with the user. When it is awakened, it can intelligently control and optimize according to the interaction habits of different users and electronic devices, which can effectively meet the user's personalized interaction needs and improve the interaction experience.

In order to achieve the above purpose, the embodiment of the fourth aspect of the present application provides a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute an electronic A device interaction method, the method comprising: when a voice signal is detected, capturing the biometric feature of the user to which the voice signal belongs; reading target interaction data corresponding to the biometric feature; controlling the electronic device to interact based on the target Data is responsive to the voice signal to interact with the user.

The non-transitory computer-readable storage medium proposed by the embodiment of the fourth aspect of the present application captures the biometric features of the user to which the voice signal belongs when the voice signal is detected, reads the target interaction data corresponding to the biometric feature, and controls the electronic The device responds to the voice signal based on the target interaction data to interact with the user. When awakened, it can intelligently control and optimize according to the interaction habits of different users and electronic devices, which can effectively meet the user's personalized interaction needs and improve the interaction experience.

Additional aspects and advantages of the present application will be set forth, in part, in the following description, and in part will be apparent from the following description, or learned by practice of the present application.

Description of drawings

The above and/or additional aspects and advantages of the present application will become apparent and readily understood from the following description of embodiments taken in conjunction with the accompanying drawings, wherein:

FIG. 1 is a schematic flowchart of an electronic device interaction method proposed by an embodiment of the present application;

2 is a schematic flowchart of an electronic device interaction method proposed by another embodiment of the present application;

3 is a schematic structural diagram of an electronic device interaction apparatus proposed by an embodiment of the present application;

4 is a schematic structural diagram of an electronic device interaction apparatus proposed by another embodiment of the present application;

FIG. 5 is a schematic structural diagram of an electronic device proposed by an embodiment of the present application.

Detailed ways

The following describes in detail the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, but should not be construed as a limitation on the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

FIG. 1 is a schematic flowchart of an electronic device interaction method proposed by an embodiment of the present application.

This embodiment is exemplified in that the electronic device interaction method is configured in the electronic device interaction apparatus.

The electronic device interaction method in this embodiment may be configured in an electronic device interaction device, and the electronic device interaction device may be set in a server, or may also be set in an electronic device, which is not limited in this embodiment of the present application.

In this embodiment, the electronic device interaction method is configured in the electronic device as an example, and the electronic device may be, for example, a device with an intelligent voice control function, which is not limited.

It should be noted that, the execution body of the embodiments of the present application may be, for example, a central processing unit (Central Processing Unit, CPU) in a server or an electronic device in hardware, and may be, for example, a server or a related related device in an electronic device in software. Background service, there is no restriction on this.

Referring to Figure 1, the method includes:

S101: When a voice signal is detected, capture the biometric feature of the user to which the voice signal belongs.

The voice signal is used to wake up a device with an intelligent voice control function, and the voice signal contains a keyword used to wake up the electronic device.

In the specific implementation process of the present application, when a voice signal is detected, the voice analysis is performed on it, and when it is determined that a preset keyword used to wake up the intelligent voice control function is included in it, the intelligent voice control function is woken up. , and while waking up, capture the biometrics of the user to which the voice signal belongs.

The biometric feature is used to uniquely identify the identity of the user to which the voice signal belongs, and the biometric feature may be, for example, facial feature, voiceprint feature, pupil feature, etc., which is not limited.

In this embodiment of the present application, an identification module may be preset in the electronic device to capture the biometric characteristics of the user to which the voice signal belongs.

Optionally, in some embodiments, referring to FIG. 2 , when a voice signal is detected, the biometric characteristics of the user to which the voice signal belongs are captured, including:

S201: When a voice signal is detected, determine the location information of the user to which it belongs.

S202: Based on the location information, capture the biometric features of the user to which the voice signal belongs.

The reason why the above steps are performed in this embodiment of the present application is that when a voice signal is detected, there may be one or more users facing the electronic device, that is, in a scenario where multiple users wake up, it is possible to output a voice signal at this time The user is not necessarily the user facing the electronic device. Therefore, in order to accurately identify the user to which the voice signal belongs, when the voice signal is detected, the microphone array of the electronic device can be used to locate the sound source to determine The location information of the belonging user, the location information may be, for example, the actual location of the belonging user.

Then, after the location information of the user to which the voice signal belongs is determined, the biometrics of the user to which the voice signal belongs is captured, so as to effectively avoid misuse of interaction data of other users.

In the specific implementation process of the present application, the target direction can be determined according to the position information, the identification module built in the electronic device can be controlled, the biometric feature of the user indicated by the target direction can be identified, and the identified biometric feature can be used as the user's biometric feature.

Wherein, the rotation module can be preset in the electronic device, and the rotation module can be configured to be electrically connected with the identification module and the central controller. After determining the target direction according to the position information, the central controller controls the rotation module to drive the identification module to rotate. Target direction to identify the biometric features of the user indicated by the target direction, and use the identified biometric feature as the user's biometric feature.

S102: Read target interaction data corresponding to the biological feature.

The interaction data can be used to describe the usage habit information and preference information of some applications controlled by the user using the intelligent voice control function. The voice signal is "Continue last play", the music A played by the music player application, and user B uses the intelligent voice control function to control the music player application, when the voice signal is "Continue last play", the music The music B played by the playback application, correspondingly, the user A uses the voice signal to match the music A, and the matching result can be called interactive data, and the user B uses the voice signal to match the music B, the matching result is also Can be called interactive data.

In this embodiment of the present application, in order to match personalized interaction data for different users, after capturing the biometrics of the user to which the voice signal belongs, the interaction data corresponding to the biometrics is read immediately, and the interaction data may be called a target interactive data.

The biometric feature and the corresponding interaction data may be obtained by pre-collecting the usage habit information and preference information of a large number of users, analyzing and storing them based on big data.

During the specific implementation process of the present application, when reading the target interaction data corresponding to the biological feature, it can first determine whether the target interaction data corresponding to the biological feature is pre-stored in the electronic device, and if so, the target interaction data corresponding to the biological feature can be directly read. The target interaction data corresponding to the feature can effectively ensure the response efficiency of the voice control of the electronic device. If not, it means that the user to which the current voice signal belongs is a new user of the intelligent voice control function. At this time, the voice signal can be directly responded to to interact with the user. , to ensure the continuity of voice control, and then, in order to learn the new user's usage habit information and preference information in a timely manner, you can directly respond to the voice signal to interact with the user, and establish a target account. During the process, the interaction data in the interaction process is captured in real time, and the interaction data is stored in the target account, and the target account and biometric characteristics are correspondingly stored, so that the new user can use the corresponding interaction data next time. interact.

S103: Control the electronic device to respond to the voice signal based on the target interaction data to interact with the user.

In the specific implementation process of the embodiment of the present application, the electronic device is controlled to respond to the voice signal based on the target interaction data. For example, when some applications controlled by the intelligent voice control function are used, and the application is a music playing application, the music can be controlled. Playback applications, interact with users based on target interaction data, or, some applications are not limited to music playback applications, but can also be other applications that can control the display style of electronic devices, or can control the working mode of electronic devices (for example, battery life, standby time) applications, etc., are not limited.

In this embodiment, when a voice signal is detected, the biometric feature of the user to which the voice signal belongs is captured, the target interaction data corresponding to the biometric feature is read, and the electronic device is controlled to respond to the voice signal based on the target interaction data, so as to communicate with the user. Interaction, when awakened, intelligent control and optimization can be carried out according to the interaction habits of different users and electronic devices, which can effectively meet the personalized interaction needs of users and improve the interaction experience.

FIG. 3 is a schematic structural diagram of an electronic device interaction apparatus according to an embodiment of the present application.

Referring to FIG. 3, the apparatus 300 includes:

A capture module 301, configured to capture the biometrics of the user to which the voice signal belongs when the voice signal is detected;

a reading module 302, configured to read target interaction data corresponding to the biological feature;

The control module 303 is configured to control the electronic device to respond to the voice signal based on the target interaction data to interact with the user.

Optionally, in some embodiments, the capture module 301 is specifically configured to:

When a voice signal is detected, determine the location information of the user to which it belongs;

Correspondingly, based on the location information, the biometric features of the user to which the voice signal belongs are captured.

Optionally, in some embodiments, the capture module 301 is specifically configured to:

Determine the target direction according to the location information;

Control the built-in identification module of the electronic device to identify the biometric features of the user indicated by the target direction, and use the identified biometric feature as the user's biometric feature.

Optionally, in some embodiments, the reading module 302 is specifically configured to:

Determine whether the target interaction data corresponding to the biometric feature is pre-stored in the electronic device;

If so, read the target interaction data corresponding to the biometrics;

If not, the voice signal is directly responded to to interact with the user.

Optionally, in some embodiments, referring to FIG. 4 , it further includes:

The establishment module 304 is used to establish a target account while directly responding to the voice signal to interact with the user, and during the interaction process, capture the interaction data in the interaction process in real time, and store the interaction data in the target account. , and store the target account and biometrics accordingly.

It should be noted that the explanations of the electronic device interaction method embodiments in the foregoing embodiments of FIGS. 1-2 are also applicable to the electronic device interaction apparatus 300 of this embodiment, and the implementation principles thereof are similar, and will not be repeated here.

In this embodiment, when a voice signal is detected, the biometric feature of the user to which the voice signal belongs is captured, the target interaction data corresponding to the biometric feature is read, and the electronic device is controlled to respond to the voice signal based on the target interaction data, so as to communicate with the user. Interaction, when awakened, intelligent control and optimization can be carried out according to the interaction habits of different users and electronic devices, which can effectively meet the personalized interaction needs of users and improve the interaction experience.

FIG. 5 is a schematic structural diagram of an electronic device proposed by an embodiment of the present application.

Referring to FIG. 5 , the electronic device 50 of this embodiment includes: a casing 501 , a processor 502 , a memory 503 , a circuit board 504 , and a power supply circuit 505 , the circuit board 504 is arranged inside the space enclosed by the casing 501 , the processor 502 , The memory 503 is arranged on the circuit board 504; the power supply circuit 505 is used to supply power to each circuit or device of the electronic device 50; the memory 503 is used to store executable program codes; program code to run a program corresponding to the executable program code for executing:

When a voice signal is detected, capture the biometric features of the user to which the voice signal belongs;

Read target interaction data corresponding to biometrics;

The control electronic device responds to the voice signal based on the target interaction data to interact with the user.

It should be noted that the explanations of the embodiments of the electronic device interaction method in the foregoing embodiments of FIG. 1 to FIG. 2 are also applicable to the electronic device 50 of this embodiment, and the implementation principles thereof are similar, and will not be repeated here.

In this embodiment, when a voice signal is detected, the biometric feature of the user to which the voice signal belongs is captured, the target interaction data corresponding to the biometric feature is read, and the electronic device is controlled to respond to the voice signal based on the target interaction data, so as to communicate with the user. Interaction, when awakened, intelligent control and optimization can be carried out according to the interaction habits of different users and electronic devices, which can effectively meet the personalized interaction needs of users and improve the interaction experience.

In order to implement the above-mentioned embodiments, the present application also proposes a non-transitory computer-readable storage medium. When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device can execute an electronic device interaction method. The method includes: :

When a voice signal is detected, capture the biometric features of the user to which the voice signal belongs;

Read target interaction data corresponding to biometrics;

The control electronic device responds to the voice signal based on the target interaction data to interact with the user.

The non-transitory computer-readable storage medium in this embodiment captures the biometrics of the user to which the voice signal belongs when the voice signal is detected, reads the target interaction data corresponding to the biometrics, and controls the electronic device to interact based on the target The data responds to the voice signal to interact with the user. When awakened, it can be intelligently controlled and optimized according to the interaction habits of different users and electronic devices, which can effectively meet the user's personalized interaction needs and improve the interaction experience.

In order to realize the above-mentioned embodiments, the present application also proposes a computer program product. When an instruction in the computer program product is executed by a processor, an electronic device interaction method is executed, and the method includes:

When a voice signal is detected, capture the biometric features of the user to which the voice signal belongs;

Read target interaction data corresponding to biometrics;

The control electronic device responds to the voice signal based on the target interaction data to interact with the user.

The computer program product in this embodiment captures the biometrics of the user to which the voice signal belongs when the voice signal is detected, reads the target interaction data corresponding to the biometrics, and controls the electronic device to respond to the voice signal based on the target interaction data, In order to interact with the user, when it is awakened, it can perform intelligent control optimization according to the interaction habits of different users and electronic devices, which can effectively meet the user's personalized interaction needs and improve the interaction experience.

It should be noted that, in the description of the present application, the terms "first", "second" and the like are only used for the purpose of description, and should not be construed as indicating or implying relative importance. Also, in the description of this application, unless otherwise specified, "plurality" means two or more.

Any description of a process or method in the flowcharts or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing a specified logical function or step of the process , and the scope of the preferred embodiments of the present application includes alternative implementations in which the functions may be performed out of the order shown or discussed, including performing the functions substantially concurrently or in the reverse order depending upon the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present application belong.

It should be understood that various parts of this application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or a combination of the following techniques known in the art: Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, Programmable Gate Arrays (PGA), Field Programmable Gate Arrays (FPGA), etc.

Those skilled in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, and the program can be stored in a computer-readable storage medium. When executed, one or a combination of the steps of the method embodiment is included.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing module, or each unit may exist physically alone, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware, and can also be implemented in the form of software function modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, and the like.

In the description of this specification, description with reference to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples", etc., mean specific features described in connection with the embodiment or example , structure, material or feature is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limitations to the present application. Embodiments are subject to variations, modifications, substitutions and variations.

Claims (12)

1. an electronic device interaction method, is characterized in that, comprises the following steps: When a voice signal is detected, capture the biometrics of the user to which the voice signal belongs; reading target interaction data corresponding to the biological feature; The electronic device is controlled to respond to the voice signal based on the target interaction data to interact with the user. 2 . The electronic device interaction method according to claim 1 , wherein when a voice signal is detected, capturing the biological characteristics of the user to which the voice signal belongs, comprising: 2 . When the voice signal is detected, determine the location information of the user; Correspondingly, based on the location information, the biometrics of the user to which the voice signal belongs is captured. 3. The electronic device interaction method according to claim 1, wherein the capturing the biometrics of the user to which the voice signal belongs based on the location information comprises: Determine the target direction according to the position information; The identification module built in the electronic device is controlled to identify the biometric feature of the user indicated by the target direction, and the identified biometric feature is used as the biometric feature of the user. 4. The electronic device interaction method according to claim 1, wherein the reading target interaction data corresponding to the biological feature comprises: judging whether the target interaction data corresponding to the biological feature is pre-stored in the electronic device; If so, read the target interaction data corresponding to the biological feature; If not, the voice signal is directly responded to to interact with the user. 5. The electronic device interaction method according to claim 4, wherein, establishing a target account while directly responding to the voice signal to interact with the user; In the process of performing the interaction, capturing the interaction data in the interaction process in real time, and storing the interaction data in the target account; The target account and the biometric feature are stored correspondingly. 6. An electronic device interaction device, comprising: a capture module, configured to capture the biometrics of the user to which the voice signal belongs when the voice signal is detected; a reading module for reading target interaction data corresponding to the biological feature; A control module, configured to control the electronic device to respond to the voice signal based on the target interaction data to interact with the user. 7. The electronic device interaction device according to claim 6, wherein the capture module is specifically used for: When the voice signal is detected, determine the location information of the user; Correspondingly, based on the location information, the biometrics of the user to which the voice signal belongs is captured. 8. The electronic device interaction apparatus according to claim 6, wherein the capture module is specifically used for: Determine the target direction according to the position information; The identification module built in the electronic device is controlled to identify the biometric feature of the user indicated by the target direction, and the identified biometric feature is used as the biometric feature of the user. 9. The electronic device interaction device according to claim 6, wherein the reading module is specifically used for: judging whether the target interaction data corresponding to the biological feature is pre-stored in the electronic device; If so, read the target interaction data corresponding to the biological feature; If not, the voice signal is directly responded to to interact with the user. 10. The electronic device interaction apparatus according to claim 9, further comprising: The establishment module is used to establish a target account while directly responding to the voice signal to interact with the user, and during the interaction process, real-time capture of the interaction data in the interaction process, and the The interaction data is stored in the target account, and the target account and the biometric feature are correspondingly stored. 11. An electronic device, comprising a casing, a processor, a memory, a circuit board and a power supply circuit, wherein the circuit board is arranged inside the space enclosed by the casing, and the processor and the memory are arranged in the the circuit board; the power supply circuit is used to supply power to each circuit or device of the electronic device; the memory is used to store executable program codes; the processor reads the executable program code stored in the memory Executing program code to run a program corresponding to the executable program code for executing: When a voice signal is detected, capture the biometrics of the user to which the voice signal belongs; reading target interaction data corresponding to the biological feature; The electronic device is controlled to respond to the voice signal based on the target interaction data to interact with the user. 12. A non-transitory computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the electronic device interaction method according to any one of claims 1-5 is implemented.