CN112784238B - Data processing method, device, electronic equipment and medium - Google Patents
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
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- 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]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
Abstract
The disclosure discloses a data processing method, a device, electronic equipment and a medium, relates to the technical field of data processing, and particularly relates to the technical fields of artificial intelligence technology, cloud computing and cloud service. The specific implementation scheme is as follows: acquiring a processing instruction of a current user on data to be processed, and acquiring the biological characteristics of the current user according to the type of the processing instruction; determining the identity information of the current user according to the biological characteristics of the current user; and carrying out association processing on the data to be processed and the identity information of the current user according to the processing instruction. The method and the device realize that the data processing can be performed without manually logging in the private account number or manually inputting the ID, so that the complexity of the data processing is reduced, and the time required by the data processing is reduced.
Description
Technical Field
The disclosure relates to the technical field of data processing, in particular to the technical fields of artificial intelligence technology, cloud computing and cloud service, and particularly relates to a data processing method, a data processing device, electronic equipment and a medium.
Background
Along with the development of science and technology, more and more intelligent devices enter families of common people, and all members in the families can commonly use the intelligent devices, so that convenience and satisfaction brought by the science and technology are enjoyed.
However, in the home sharing device, since there are many users, when any user wants to collect private data, such as songs, documents, or pictures, it is necessary to manually log in a private account number or manually input an ID (Identity document, identification number), so that the private collection of the target data can be realized.
Disclosure of Invention
The present disclosure provides a method, apparatus, electronic device, and medium for reducing complexity of data processing, and reducing time required for data processing.
According to an aspect of the present disclosure, there is provided a data processing method including:
acquiring a processing instruction of a current user on data to be processed, and acquiring the biological characteristics of the current user according to the type of the processing instruction;
determining the identity information of the current user according to the biological characteristics of the current user;
and carrying out association processing on the data to be processed and the identity information of the current user according to the processing instruction.
According to another aspect of the present disclosure, there is provided a data processing apparatus including:
the biological characteristic determining module is used for acquiring a processing instruction of the data to be processed of the current user and acquiring the biological characteristic of the current user according to the type of the processing instruction;
the first identity information determining module is used for determining the identity information of the current user according to the biological characteristics of the current user;
and the data processing module is used for carrying out association processing on the data to be processed and the identity information of the current user according to the processing instruction.
According to another aspect of the present disclosure, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of the present disclosure.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of any one of the present disclosure.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method according to any of the present disclosure.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a flow chart of a data processing method disclosed in accordance with an embodiment of the present disclosure;
FIG. 2A is a flow chart of a data processing method disclosed in accordance with an embodiment of the present disclosure;
FIG. 2B is an interface schematic diagram of a biometric acquisition according to an embodiment of the present disclosure;
FIG. 3A is a flow chart of a data processing method disclosed in accordance with an embodiment of the present disclosure;
FIG. 3B is a schematic illustration of an interface for a private collection function to be opened in accordance with an embodiment of the present disclosure;
FIG. 3C is a schematic illustration of an interface of a recommended collection disclosed in accordance with an embodiment of the present disclosure;
FIG. 3D is a schematic illustration of an interface for viewing a collection according to an embodiment of the present disclosure;
FIG. 3E is a schematic illustration of an interface of a favorites list according to an embodiment of the present disclosure;
FIG. 3F is a schematic diagram of an interface for viewing favorites of other registered users, according to an embodiment of the present disclosure;
FIG. 3G is an interface schematic diagram of one other registered user favorites list disclosed in accordance with an embodiment of the present disclosure;
FIG. 3H is a schematic illustration of an interface for registered user collection data, disclosed in accordance with an embodiment of the present disclosure;
FIG. 3I is a schematic diagram of an interface for registered user cancellation of favorites data, according to an embodiment of the present disclosure;
FIG. 4A is a flow chart of a data processing method disclosed in accordance with an embodiment of the present disclosure;
FIG. 4B is a schematic illustration of an interface for unregistered user collection data disclosed in accordance with an embodiment of the present disclosure;
FIG. 5A is a flow chart of a data processing method disclosed in accordance with an embodiment of the present disclosure;
FIG. 5B is a schematic diagram of an interface for viewing a list in accordance with an embodiment of the present disclosure;
FIG. 5C is an interface schematic of a batch process disclosed in accordance with an embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a data processing apparatus according to an embodiment of the present disclosure;
fig. 7 is a block diagram of an electronic device for implementing the data processing method disclosed in an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flowchart of a data processing method according to an embodiment of the present disclosure, which may be suitable for a case where a user performs private collection on data. The method of the present embodiment may be performed by a data processing apparatus, which may be implemented in software and/or hardware, and may be integrated on any electronic device having computing capabilities.
As shown in fig. 1, the data processing method disclosed in this embodiment may include:
s101, acquiring a processing instruction of data to be processed of a current user, and acquiring the biological characteristics of the current user according to the type of the processing instruction.
Wherein the current user indicates the user who is using the target device, and the target device indicates the electronic device with the data processing function and the data storage function, including but not limited to a smart sound box, a smart television, a car computer, a smart mobile phone and the like. The data to be processed includes, but is not limited to, song data, document data, picture data, video data, etc., and the number of data to be processed may be one or a plurality. The processing instructions are used to trigger processing operations of the target device on the data to be processed, including but not limited to collection instructions, cancel collection instructions, view instructions, on-demand instructions, and the like. The type of processing instruction indicates the manner in which the current user generates the processing instruction, such as a voice instruction, a touch instruction, or a remote instruction. Biological features represent physiological features inherent to the human body including, but not limited to, fingerprint features, iris features, facial features, voiceprint features, and the like.
In one embodiment, a current user generates a processing instruction for data to be processed in a target device, and after the target device acquires the processing instruction, the type of the processing instruction is determined, and a target recognition mode is determined from candidate recognition modes according to the type of the processing instruction. For example, if the type of the processing instruction is a voice instruction, voiceprint recognition is used as a target recognition mode; for another example, if the type of the processing instruction is a touch instruction, fingerprint recognition or face recognition is used as the target recognition method. And further, performing feature recognition on the current user by adopting a target recognition mode to acquire the biological features of the current user.
Optionally, in S101, "obtain the biometric feature of the current user according to the type of the processing instruction", including two cases a and B:
A. and if the type of the processing instruction is a voice instruction, taking voiceprint information included in the processing instruction as the biological characteristics of the current user.
The voiceprint information includes, but is not limited to, pitch, intensity, duration, tone color and the like, and the voiceprint information of different people is different, and is specifically different in wavelength, frequency, intensity and rhythm.
In one embodiment, the target device obtains a processing instruction in the form of current user voice through a sound pickup device, such as a microphone, and extracts voiceprint information included in the processing instruction through a preset voiceprint extraction method, where the preset voiceprint extraction method includes, but is not limited to, a method based on a linear prediction coefficient, a method based on a barker cepstrum coefficient, a method based on a filter bank, and the like. And then the voiceprint information extracted from the processing instruction is used as the biological characteristics of the current user.
B. If the type of the processing instruction is a touch instruction, acquiring a facial image of the current user, and taking facial features included in the facial image as biological features of the current user
Wherein the facial features include facial geometric features and facial characterization features. Facial geometry refers to the geometric relationships between facial features such as eyes, nose, and mouth, such as distance, area, and angle. The face characterization features extract global or local features through some algorithms, such as a local binary pattern algorithm, by using gray information of the face image.
In one embodiment, the target device acquires a processing instruction of a touch form of the data to be processed, such as clicking, double-clicking or dragging, which is implemented on the touch screen by the current user, controls a camera carried by the target device to start working, acquires a facial image of the current user, and extracts facial features in the facial image of the current user through a preset facial feature extraction method, where the preset facial feature extraction method includes, but is not limited to, a feature face method, a specific face subspace method, a hidden markov model method, and the like. And further, the facial features extracted from the facial image of the current user are taken as the biological features of the current user.
If the type of the processing instruction is a voice instruction, voiceprint information contained in the processing instruction is used as the biological characteristics of the current user; if the type of the processing instruction is a touch instruction, acquiring a facial image of the current user, and taking facial features included in the facial image as biological features of the current user, so that the biological features of the current user can be acquired by selecting a proper mode according to the type of the processing instruction, and the success rate and accuracy of acquiring the biological features of the current user are improved.
The biological characteristics of the current user are obtained by obtaining the processing instruction of the data to be processed of the current user and according to the type of the processing instruction, so that the effect of determining the biological characteristics of the current user is realized, and a data foundation is laid for determining the identity information of the current user according to the biological characteristics subsequently.
S102, determining the identity information of the current user according to the biological characteristics of the current user.
In one embodiment, the biological characteristics of a plurality of users are collected in advance, a biological characteristic library is established, and the association relation between the biological characteristics of the users and the identity information of the users is stored in the biological characteristic library. After the biological characteristics of the current user are acquired, determining a target biological characteristic library according to the type of the biological characteristics of the current user, for example, if the biological characteristics of the current user are fingerprint characteristics, taking the fingerprint characteristic library as the target biological characteristic library; for example, if the biometric feature of the current user is a voiceprint feature, the voiceprint feature library is used as the target biometric feature library. And matching the biological characteristics of the current user in a target characteristic library, taking the biological characteristic with the highest biological characteristic similarity with the current user in the target characteristic library as a target biological characteristic, and taking the user identity information associated with the target biological characteristic as the identity information of the current user according to the association relation between the user biological characteristic and the user identity information.
By determining the identity information of the current user according to the biological characteristics of the current user, the effect of determining the identity information of the user without manually logging in the private account or manually inputting the ID is achieved, the speed of determining the identity information of the user is improved, the operation steps required by the user are reduced, and the user experience is improved.
S103, carrying out association processing on the data to be processed and the identity information of the current user according to the processing instruction.
In one embodiment, the target device responds to the processing instruction and performs association processing on the data to be processed and the identity information of the current user according to the identity information of the current user. For example, if the processing instruction is a collection instruction, the data to be processed and the identity information of the current user are collected in an associated manner, for example, the data to be collected is collected in a group or a favorites corresponding to the identity information of the current user; if the processing instruction is a viewing instruction, the data to be processed and the identity information of the current user are related to be viewed, for example, the data to be processed is obtained from a group or a favorites corresponding to the identity information of the current user and is visually displayed to the current user.
By carrying out association processing on the data to be processed and the identity information of the current user according to the processing instruction, the effect of automatically carrying out association processing on the data to be processed and the identity information of the current user is achieved, and the private data processing requirement of the current user is met.
According to the technical scheme of the embodiment, the processing instruction of the data to be processed by the current user is obtained, the biological characteristics of the current user are obtained according to the type of the processing instruction, the identity information of the current user is further determined according to the biological characteristics of the current user, and finally, the data to be processed and the identity information of the current user are associated according to the processing instruction, so that the effect that the data can be processed without manually logging in a private account or manually inputting an ID by the user is achieved, the complexity of the data processing is reduced, and the time required by the data processing is reduced.
Fig. 2A is a flowchart of a data processing method according to an embodiment of the present disclosure, which is further optimized and expanded based on the above technical solution, and may be combined with the above various alternative embodiments.
As shown in fig. 2A, the method may include:
s201, acquiring a processing instruction of the current user to-be-processed data, and acquiring the biological characteristics of the current user according to the type of the processing instruction.
S202, under the condition that the biological characteristics matched with the biological characteristics of the current user exist in the biological characteristics collected in advance, the identity information of the registered user associated with the matched biological characteristics is used as the identity information of the current user.
The target device comprises a plurality of accounts, and each account comprises at least one registered user, for example, the target device comprises an account A and an account B, and the account A comprises the registered user: "father" and "mom", account B includes registered users: "son" and "daughter". Each registered user may select whether to record the biological feature according to the requirement, taking voiceprint information as an example, fig. 2B is a schematic diagram of an interface for collecting the biological feature according to an embodiment of the present disclosure, when voiceprint information is not collected, the registered user may click the record button 20 to record the voiceprint information, and the target device correspondingly collects the voiceprint information of the registered user and stores the voiceprint information in association with the identity information of the registered user.
In one embodiment, the target device matches the acquired biometric feature of the current user with the biometric feature of the same type acquired in advance, for example, matching voiceprint information, or matching facial features, and the like, calculates the similarity between the biometric feature of the current user and the biometric feature acquired in advance, if the similarity between any one of the biometric features acquired in advance and the biometric feature of the current user is greater than a preset threshold, for example, 99.9%, determines that the biometric feature acquired in advance and the biometric feature of the current user match, and uses the identity information of the registered user associated with the matched biometric feature as the identity information of the current user according to the association relationship between the identity information of the registered user and the biometric feature established in advance.
And S203, under the condition that the biological characteristics which are acquired in advance are not matched with the biological characteristics of the current user, determining whether a processing instruction of any registered user is acquired in a preset time period before the current moment, and if so, taking the identity information of the registered user as the identity information of the current user.
In one embodiment, if the similarity between the biological feature not collected in advance and the biological feature of the current user is greater than a preset threshold, determining that the biological feature not matched with the biological feature of the current user in the biological feature collected in advance. This may be caused by inaccurate acquisition of the current user's biometric characteristics, or by inaccurate acquisition of the pre-acquired biometric characteristics, etc., and for redundancy reasons, if there is no biometric characteristic matching the current user's biometric characteristics in the pre-acquired biometric characteristics, it is determined whether the target device has acquired the processing instruction of any registered user within a preset time period before the current time, where the preset time period is optionally 5 seconds.
For example, assuming that the preset time period is 5 seconds, if the target device is 4 seconds before the current time, if the processing instruction of the registered user 'Zhang san' is acquired, for example, collection of songs or on-demand songs, etc., under the condition that the biological characteristics of the current user are not matched in the biological characteristics acquired in advance, the identity information of the 'Zhang san' is taken as the identity information of the current user.
S204, if the processing instruction of any registered user is not acquired within a preset time period before the current moment, determining that the identity information of the current user is an unregistered user.
An unregistered user may be understood as a guest, typically a user who uses the target device for the first time, or a user who is unregistered in the target device. The target device does not collect the biometric of the unregistered user.
In one embodiment, under the condition that the biological characteristics which are acquired in advance are not matched with the biological characteristics of the current user, and the processing instruction of any registered user is not acquired within a preset time period before the current moment, the identity information of the current user is directly determined to be an unregistered user.
S205, carrying out association processing on the data to be processed and the identity information of the current user according to the processing instruction.
In one embodiment, if the identity information of the current user is a registered user, the data to be processed is processed in a group or a favorites corresponding to the identity information of the current user.
In another embodiment, if the identity information of the current user is an unregistered user, the data to be processed is processed in a group or a favorites set up by the target device for all unregistered users individually.
According to the technical scheme of the embodiment, under the condition that the biological characteristics matched with the biological characteristics of the current user exist in the biological characteristics collected in advance, the identity information of the registered user related to the matched biological characteristics is used as the identity information of the current user, under the condition that the biological characteristics matched with the biological characteristics of the current user do not exist in the biological characteristics collected in advance, whether a processing instruction of any registered user is acquired in a preset time period before the current moment is determined, if yes, the identity information of the registered user is used as the identity information of the current user, if no, the identity information of the current user is determined to be an unregistered user, the effect of determining the identity information of the current user is achieved, and redundancy consideration is arranged, so that the identity information determination result is accurate.
Fig. 3A is a flowchart of a data processing method according to an embodiment of the present disclosure, which is further optimized and expanded based on the above technical solution, and may be combined with the above various alternative embodiments.
As shown in fig. 3A, the method may include:
s301, acquiring a processing instruction of data to be processed of a current user, and acquiring biological characteristics of the current user according to the type of the processing instruction.
S302, determining the identity information of the current user according to the biological characteristics of the current user.
S303, when the identity information of the current user is a registered user and the processing instruction is a collection instruction, and the favorites associated with the identity information of the current user do not have the data to be processed collected, collecting the data to be processed into the favorites associated with the identity information of the current user.
The registered user can select whether to start the private collection function according to the requirement. FIG. 3B is a schematic diagram of an interface for opening a private collection function according to an embodiment of the present disclosure, as shown in FIG. 3B, when the private collection function is in an off state, a registered user may click an open button 30 to open the private collection function. If the registered user has never collected any data, taking songs as an example, the target device will correspondingly establish a corresponding favorites for the registered user, and recommend songs collected by other registered users for the registered user, fig. 3C is an interface schematic of recommending collection, according to an embodiment of the present disclosure, where the user may select favorite songs and click the import button 31 to import favorite songs into his own favorites. A registered user may view his own favorites in real-time, and fig. 3D is a schematic diagram of an interface for viewing favorites according to one disclosed embodiment of the present disclosure, and the registered user may click a view button 32 to view the favorite songs in the favorites associated with his own identity information. FIG. 3E is a schematic diagram of an interface for a favorites list that a registered user can request or cancel a favorite song in his own identity information associated favorites and can also click the import button 33 to continue importing other registered user favorite songs into his own identity information associated favorites, in accordance with an embodiment of the present disclosure.
Further, an administrator user of the target device may control the turning on or off of the private collection function of any registered user in the target device. And the registered users in the target equipment can view the contents in the favorites of other registered users besides the contents in the favorites of the registered users. FIG. 3F is a schematic diagram of an interface for viewing favorites of other registered users, showing the other users having a private favorites function turned on, as shown in FIG. 3F, and a user can click on the view button 34 to enter the favorites of the other registered users, in accordance with an embodiment of the present disclosure. FIG. 3G is a schematic diagram of an interface for a favorites list of other registered users, wherein the intelligent viewing of songs or on-demand songs is not possible to collect or cancel collection when viewing the favorites of other registered users, according to an embodiment of the present disclosure.
In one embodiment, when the target device determines that the identity information of the current user is a registered user and the processing instruction is a collection instruction, accessing the corresponding collection according to the identity information of the current user, traversing the collected data in the collection, determining whether the collected data comprises data to be processed, if not, collecting the data to be processed into the collection associated with the identity information of the current user, and if so, reminding the current user of the collected data in a mode including voice and/or characters.
Taking data to be stored as song data as an example, fig. 3H is a schematic diagram of an interface of registered user collection data according to an embodiment of the present disclosure, after a registered user generates a collection instruction for song data by including a voice form or a touch form, a target device correspondingly collects song data into a favorite associated with identity information of the registered user, reminds the registered user in a text and/or voice manner, and collects the song data into its own favorite, for example, shows the user with "collection to girls 29989" in fig. 3H.
S304, executing collection canceling operation on the data to be processed under the condition that the identity information of the current user is a registered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a collection associated with the identity information of the current user or in a collection associated with an unregistered user.
In one embodiment, when the target device determines that the identity information of the current user is a registered user and the processing instruction is a collection canceling instruction, accessing a corresponding collection according to the identity information of the current user, traversing collected data in the collection, determining whether the collected data includes data to be processed, and if so, canceling collection of the data to be processed in the collection corresponding to the identity information of the user.
In another embodiment, when the target device determines that the identity information of the current user is a registered user and the processing instruction is a collection cancellation instruction, accessing a collection corresponding to an unregistered user, traversing collected data in the collection, determining whether the collected data includes data to be processed, and if so, canceling collection of the data to be processed in the collection corresponding to the unregistered user.
Taking data to be stored as song data as an example, fig. 3I is a schematic diagram of an interface for canceling collection data of a registered user according to an embodiment of the present disclosure, where after the registered user generates a cancel collection instruction for song data in a voice form or a touch form, the target device displays a tag 35 of the registered user, and after the tag 35 of the registered user is deactivated, the song data is in its own favorites or in a favorites of an unregistered user, and the collection of the song data is canceled.
According to the technical scheme of the embodiment, under the condition that the identity information of the current user is a registered user, the processing instruction is a collection instruction, and the favorites associated with the identity information of the current user do not have collected data to be processed, the data to be processed is collected into the favorites associated with the identity information of the current user; under the condition that the identity information of the current user is a registered user and the processing instruction is a collection canceling instruction, and the data to be processed is collected in the favorites associated with the identity information of the current user or in the favorites associated with the unregistered user, the collection canceling operation is performed on the data to be processed, and the effects of collecting the data and canceling the collected data of the registered user are achieved.
Fig. 4A is a flowchart of a data processing method according to an embodiment of the present disclosure, which is further optimized and expanded based on the above technical solution, and may be combined with the above various alternative embodiments.
As shown in fig. 4A, the method may include:
s401, acquiring a processing instruction of the current user to-be-processed data, and acquiring the biological characteristics of the current user according to the type of the processing instruction.
S402, determining the identity information of the current user according to the biological characteristics of the current user.
S403, when the identity information of the current user is an unregistered user, the processing instruction is a collection instruction, and any registered user is associated with a collection, or the data to be processed is not collected in the collection associated with the unregistered user, the data to be processed is collected in the collection associated with the unregistered user.
In one embodiment, when the target device determines that the identity information of the current user is an unregistered user and the processing instruction is a collection instruction, accessing favorites associated with all registered users and favorites associated with unregistered users in the target device, traversing collected data in the favorites, determining whether the collected data comprise data to be processed, if not, collecting the data to be processed into the favorites associated with the unregistered users, and if so, reminding the current user by means of voice and/or text, and the data to be collected.
Taking data to be stored as song data as an example, fig. 4B is a schematic diagram of an interface of unregistered user collection data according to an embodiment of the present disclosure, after an unregistered user generates a collection instruction for song data by including a voice form or a touch form, a target device correspondingly collects song data into a favorite associated with the unregistered user, and reminds the unregistered user that the song data has been collected in a text and/or voice manner, but does not display where the specific collection is, for example, the user is shown with "collected" in fig. 4B.
S404, under the condition that the identity information of the current user is an unregistered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a favorites associated with the unregistered user, the collection canceling operation is performed on the data to be processed.
In one embodiment, when the target device determines that the identity information of the current user is an unregistered user and the processing instruction is a collection cancellation instruction, accessing a collection associated with the unregistered user in the target device, traversing collected data in the collection, determining whether the collected data includes data to be processed, and if so, canceling collection of the data to be processed in the collection associated with the unregistered user.
And accessing favorites associated with all registered users in the target equipment, traversing the favorites data in the favorites, determining whether the favorites data comprise data to be processed, inquiring whether to cancel the data to be processed in the favorites of the registered users to the current user if the favorites data in the favorites associated with any registered user comprise the data to be processed, and canceling the favorites of the data to be processed in the favorites corresponding to the registered users if the user agrees to cancel the favorites.
According to the technical scheme of the embodiment, under the condition that the identity information of the current user is an unregistered user, the processing instruction is a collection instruction, and any one of the favorites associated with the registered user or the favorites associated with the unregistered user does not have collected data to be processed, the data to be processed is collected into the favorites associated with the unregistered user; under the condition that the identity information of the current user is an unregistered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in the favorites associated with the unregistered user, the collection canceling operation is performed on the data to be processed, and the effects of collecting the data and canceling the collection data of the unregistered user are achieved.
On the basis of the above embodiment, the method further comprises:
the current user can specify to store the data to be processed in a favorites associated with a certain registered user, taking the registered user A as an example, if the target device determines that the favorites associated with the registered user A have no data to be processed, the data to be processed is collected in the favorites associated with the registered user A.
Fig. 5A is a flowchart of a data processing method according to an embodiment of the present disclosure, which is further optimized and expanded based on the above technical solution, and may be combined with the above various alternative embodiments.
As shown in fig. 5A, the method may include:
s501, acquiring a processing instruction generated by a current user aiming at data to be processed.
And S502, under the condition that the processing instruction is a complete viewing instruction, displaying the collected data in the favorites associated with all registered users and the favorites associated with unregistered users to the current user.
In one embodiment, if the processing instruction is a complete viewing instruction, the target device accesses favorites associated with all registered users and favorites associated with unregistered users, obtains collected data in the favorites, and displays the obtained collected data to the user in a manner including displaying the obtained collected data in a descending order according to collection time.
Taking data to be stored as song data as an example, fig. 5B is a schematic view of an interface for viewing a list according to an embodiment of the present disclosure, when a user clicks all buttons 50, the target device displays the collected song data in favorites associated with all registered users and in favorites associated with unregistered users to the current user. Further, the current user can select favorite song data to request according to the requirement.
And S503, when the processing instruction is a partial viewing instruction, displaying the collected data in the favorites associated with at least one registered user corresponding to the partial viewing instruction to the current user.
In one embodiment, if the processing instruction is a partial viewing instruction, the target device accesses a favorites associated with at least one registered user corresponding to the partial viewing instruction, for example, the partial viewing instruction corresponds to the registered user a, and the target device accesses the favorites associated with the registered user a, obtains the favorites data in the favorites, and displays the obtained favorites data to the user in a manner including displaying the obtained favorites data in a descending order according to collection time.
Continuing to take fig. 5B as an example, when the user clicks the "key" button 51, the target device displays the collected song data in the favorites associated with the "key" of the registered user to the current user; when the user clicks the "Dabai" button 52, the target device presents the collected song data in the favorites associated with the "Dabai" registered user to the current user. Further, the current user can select favorite song data to request according to the requirement. If the user clicks the "other personal collection" button 53, information of other registered users is presented to the user for the user to select information of other registered users, so that song data in the selected registered user-associated favorites is presented to the user.
According to the technical scheme of the embodiment, the collected data in the favorites associated with all registered users and the favorites associated with unregistered users are displayed to the current user under the condition that the processing instruction is all the viewing instruction; under the condition that the processing instruction is a partial viewing instruction, the collected data in the favorites associated with at least one registered user corresponding to the partial viewing instruction is displayed to the current user, so that the effect of displaying all the collected data in the target equipment to the current user or the effect of collecting the data of any registered user is realized, and the personalized viewing requirement of the current user is met.
On the basis of the above embodiment, the method further comprises:
and acquiring a voice on-demand instruction of the current user on the song data, acquiring the biological characteristics of the current user according to the voice on-demand instruction, and determining the identity information of the current user according to the biological characteristics of the current user. And if the current user is an unregistered user, playing all song data in the target device. If the current user is a registered user, determining whether song data exists in favorites associated with the current user, if so, preferentially playing the song data in the favorites associated with the current user, and then playing the song data in the favorites associated with other registered users; and if not, directly playing song data in favorites associated with other registered users in the target device.
On the basis of the above embodiment, the method further comprises:
and acquiring a batch processing instruction of the current user on the data to be processed, and carrying out batch processing on the data to be processed.
FIG. 5C is a schematic diagram of an interface for batch processing according to an embodiment of the present disclosure, in which a user may click a batch operation button 54, the target device displays all collected data for the user to check, when the user determines the data to be processed after the user has completed the check, clicking a next button 55, the user is presented with information of the registered user, the user may check and/or cancel the check on the information of the registered user according to the requirements, the checked is indicative of collecting the data to be processed, the cancelled is indicative of canceling the collection of the data to be processed, and the user clicks a complete button 56 to complete the batch processing operation.
Fig. 6 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present disclosure, which may be suitable for a case where a user performs private collection on data. The device of the embodiment can be implemented by software and/or hardware, and can be integrated on any electronic equipment with computing capability.
As shown in fig. 6, the data processing apparatus 60 disclosed in the present embodiment may include a biometric determination module 61, a first identity information determination module 62, and a data processing module 63, wherein:
the biological feature determining module 61 is configured to obtain a processing instruction of data to be processed by a current user, and obtain a biological feature of the current user according to a type of the processing instruction;
a first identity information determining module 62, configured to determine identity information of the current user according to the biological characteristics of the current user;
and the data processing module 63 is configured to perform association processing on the data to be processed and the identity information of the current user according to the processing instruction.
Optionally, the biometric determination module 61 is specifically configured to:
if the type of the processing instruction is a voice instruction, voiceprint information contained in the processing instruction is used as the biological characteristics of the current user;
And if the type of the processing instruction is a touch instruction, acquiring a facial image of the current user, and taking facial features included in the facial image as biological features of the current user.
Optionally, the first identity information determining module 62 is specifically configured to:
under the condition that the biological characteristics matched with the biological characteristics of the current user exist in the biological characteristics collected in advance, the identity information of the registered user associated with the matched biological characteristics is used as the identity information of the current user;
under the condition that the biological characteristics which are acquired in advance are not matched with the biological characteristics of the current user, determining whether a processing instruction of any registered user is acquired in a preset time period before the current moment;
if yes, the identity information of the registered user is used as the identity information of the current user.
Optionally, the device further includes a second identity information determining module, specifically configured to:
if the processing instruction of any registered user is not acquired within a preset time period before the current moment, determining the identity information of the current user as an unregistered user.
Optionally, the data processing module 63 is specifically configured to:
when the identity information of the current user is a registered user and the processing instruction is a collection instruction, and the favorites associated with the identity information of the current user do not have the data to be processed collected, collecting the data to be processed into the favorites associated with the identity information of the current user;
and executing collection canceling operation on the data to be processed under the condition that the identity information of the current user is a registered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a favorites associated with the identity information of the current user or in a favorites associated with unregistered user.
Optionally, the data processing module 63 is specifically further configured to:
when the identity information of the current user is an unregistered user, the processing instruction is a collection instruction, and any registered user is in the associated favorites, or the data to be processed is not collected in the associated favorites of the unregistered user, the data to be processed is collected in the associated favorites of the unregistered user;
and under the condition that the identity information of the current user is an unregistered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a favorites associated with the unregistered user, performing collection canceling operation on the data to be processed.
Optionally, the device further includes a data display module, specifically configured to:
under the condition that the processing instruction is a whole viewing instruction, displaying the collected data in the favorites associated with all registered users and the favorites associated with unregistered users to the current user;
and under the condition that the processing instruction is a partial viewing instruction, displaying the collected data in the favorites associated with at least one registered user corresponding to the partial viewing instruction to the current user.
The data processing device 60 disclosed in the embodiments of the present disclosure may execute the data processing method disclosed in the embodiments of the present disclosure, and has the corresponding functional modules and beneficial effects of the execution method. Reference is made to the description of any method embodiment of the disclosure for details not explicitly described in this embodiment.
…
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 7 illustrates a schematic block diagram of an example electronic device 700 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 7, the apparatus 700 includes a computing unit 701 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 702 or a computer program loaded from a storage unit 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the device 700 may also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Various components in device 700 are connected to I/O interface 705, including: an input unit 706 such as a keyboard, a mouse, etc.; an output unit 707 such as various types of displays, speakers, and the like; a storage unit 708 such as a magnetic disk, an optical disk, or the like; and a communication unit 709 such as a network card, modem, wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 701 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 701 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 performs the respective methods and processes described above, such as a data processing method. For example, in some embodiments, the data processing method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 708. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 700 via ROM 702 and/or communication unit 709. When a computer program is loaded into RAM 703 and executed by computing unit 701, one or more steps of the data processing method described above may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to perform the data processing method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (16)
1. A data processing method, comprising:
acquiring a processing instruction of a current user on data to be processed, and acquiring the biological characteristics of the current user according to the type of the processing instruction; the processing instruction is used for triggering the processing operation of the target equipment on the data to be processed;
determining the identity information of the current user according to the biological characteristics of the current user;
according to the processing instruction, carrying out association processing on the data to be processed and the identity information of the current user;
Wherein the method further comprises:
acquiring a voice on-demand instruction of a current user on song data, acquiring biological characteristics of the current user according to the voice on-demand instruction, and determining identity information of the current user according to the biological characteristics of the current user;
if the current user is an unregistered user, playing all song data in the target device;
if the current user is a registered user, determining whether song data exists in favorites associated with the current user, if so, preferentially playing the song data in the favorites associated with the current user, and then playing the song data in the favorites associated with other registered users;
and if not, directly playing song data in favorites associated with other registered users in the target device.
2. The method of claim 1, wherein obtaining the biometric of the current user according to the type of processing instruction comprises:
if the type of the processing instruction is a voice instruction, voiceprint information contained in the processing instruction is used as the biological characteristics of the current user;
and if the type of the processing instruction is a touch instruction, acquiring a facial image of the current user, and taking facial features included in the facial image as biological features of the current user.
3. The method of claim 1, wherein determining the identity information of the current user based on the biometric of the current user comprises:
under the condition that the biological characteristics matched with the biological characteristics of the current user exist in the biological characteristics collected in advance, the identity information of the registered user associated with the matched biological characteristics is used as the identity information of the current user;
under the condition that the biological characteristics which are acquired in advance are not matched with the biological characteristics of the current user, determining whether a processing instruction of any registered user is acquired in a preset time period before the current moment;
if yes, the identity information of the registered user is used as the identity information of the current user.
4. The method of claim 3, wherein determining whether processing instructions for any registered user have been acquired within a preset period of time prior to the current time further comprises:
if the processing instruction of any registered user is not acquired within a preset time period before the current moment, determining the identity information of the current user as an unregistered user.
5. The method of claim 1, wherein associating the to-be-processed data with the identity information of the current user according to the processing instruction comprises:
When the identity information of the current user is a registered user and the processing instruction is a collection instruction, and the favorites associated with the identity information of the current user do not have the data to be processed collected, collecting the data to be processed into the favorites associated with the identity information of the current user;
and executing collection canceling operation on the data to be processed under the condition that the identity information of the current user is a registered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a favorites associated with the identity information of the current user or in a favorites associated with unregistered user.
6. The method of claim 1, wherein associating the to-be-processed data with the identity information of the current user according to the processing instruction further comprises:
when the identity information of the current user is an unregistered user, the processing instruction is a collection instruction, and any registered user is in the associated favorites, or the data to be processed is not collected in the associated favorites of the unregistered user, the data to be processed is collected in the associated favorites of the unregistered user;
And under the condition that the identity information of the current user is an unregistered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a favorites associated with the unregistered user, performing collection canceling operation on the data to be processed.
7. The method of claim 1, further comprising, after obtaining the processing instruction generated by the current user for the data to be processed:
under the condition that the processing instruction is a whole viewing instruction, displaying the collected data in the favorites associated with all registered users and the favorites associated with unregistered users to the current user;
and under the condition that the processing instruction is a partial viewing instruction, displaying the collected data in the favorites associated with at least one registered user corresponding to the partial viewing instruction to the current user.
8. A data processing apparatus comprising:
the biological characteristic determining module is used for acquiring a processing instruction of the data to be processed of the current user and acquiring the biological characteristic of the current user according to the type of the processing instruction; the processing instruction is used for triggering the processing operation of the target equipment on the data to be processed;
The first identity information determining module is used for determining the identity information of the current user according to the biological characteristics of the current user;
the data processing module is used for carrying out association processing on the data to be processed and the identity information of the current user according to the processing instruction;
the data processing module is specifically configured to:
acquiring a voice on-demand instruction of a current user on song data, acquiring biological characteristics of the current user according to the voice on-demand instruction, and determining identity information of the current user according to the biological characteristics of the current user;
if the current user is an unregistered user, playing all song data in the target device;
if the current user is a registered user, determining whether song data exists in favorites associated with the current user, if so, preferentially playing the song data in the favorites associated with the current user, and then playing the song data in the favorites associated with other registered users;
and if not, directly playing song data in favorites associated with other registered users in the target device.
9. The apparatus of claim 8, wherein the biometric determination module is specifically configured to:
If the type of the processing instruction is a voice instruction, voiceprint information contained in the processing instruction is used as the biological characteristics of the current user;
and if the type of the processing instruction is a touch instruction, acquiring a facial image of the current user, and taking facial features included in the facial image as biological features of the current user.
10. The apparatus of claim 8, wherein the first identity information determination module is specifically configured to:
under the condition that the biological characteristics matched with the biological characteristics of the current user exist in the biological characteristics collected in advance, the identity information of the registered user associated with the matched biological characteristics is used as the identity information of the current user;
under the condition that the biological characteristics which are acquired in advance are not matched with the biological characteristics of the current user, determining whether a processing instruction of any registered user is acquired in a preset time period before the current moment;
if yes, the identity information of the registered user is used as the identity information of the current user.
11. The apparatus of claim 10, wherein the apparatus further comprises a second identity information determination module, in particular for:
If the processing instruction of any registered user is not acquired within a preset time period before the current moment, determining the identity information of the current user as an unregistered user.
12. The apparatus of claim 8, wherein the data processing module is specifically configured to:
when the identity information of the current user is a registered user and the processing instruction is a collection instruction, and the favorites associated with the identity information of the current user do not have the data to be processed collected, collecting the data to be processed into the favorites associated with the identity information of the current user;
and executing collection canceling operation on the data to be processed under the condition that the identity information of the current user is a registered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a favorites associated with the identity information of the current user or in a favorites associated with unregistered user.
13. The apparatus of claim 8, wherein the data processing module is further specifically configured to:
when the identity information of the current user is an unregistered user, the processing instruction is a collection instruction, and any registered user is in the associated favorites, or the data to be processed is not collected in the associated favorites of the unregistered user, the data to be processed is collected in the associated favorites of the unregistered user;
And under the condition that the identity information of the current user is an unregistered user, the processing instruction is a collection canceling instruction, and the data to be processed is collected in a favorites associated with the unregistered user, performing collection canceling operation on the data to be processed.
14. The apparatus of claim 8, wherein the apparatus further comprises a data presentation module, in particular for:
under the condition that the processing instruction is a whole viewing instruction, displaying the collected data in the favorites associated with all registered users and the favorites associated with unregistered users to the current user;
and under the condition that the processing instruction is a partial viewing instruction, displaying the collected data in the favorites associated with at least one registered user corresponding to the partial viewing instruction to the current user.
15. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
16. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-7.
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