CN111367580B - Application starting method and device and computer readable storage medium - Google Patents
Application starting method and device and computer readable storage medium Download PDFInfo
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- CN111367580B CN111367580B CN202010127404.2A CN202010127404A CN111367580B CN 111367580 B CN111367580 B CN 111367580B CN 202010127404 A CN202010127404 A CN 202010127404A CN 111367580 B CN111367580 B CN 111367580B
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- 230000014509 gene expression Effects 0.000 claims abstract description 141
- 238000004590 computer program Methods 0.000 claims description 11
- 238000013507 mapping Methods 0.000 claims description 10
- 238000012163 sequencing technique Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 230000004397 blinking Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 5
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- 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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- 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
- G06V40/174—Facial expression recognition
Abstract
The application provides an application starting method, an application starting device and a computer readable storage medium, wherein the application starting method comprises the following steps: acquiring an expression characteristic sequence of a target user based on video data acquired by a terminal camera in real time; determining a corresponding application starting intention according to the expression characteristic sequence; and starting the target application associated with the application starting intention according to the application starting intention. Through implementation of the scheme, corresponding applications are started according to the expression feature sequences of the users, application starting operation is effectively simplified, operation convenience is improved, and operation time consumption is reduced.
Description
Technical Field
The present disclosure relates to the field of electronic technologies, and in particular, to an application starting method, an application starting device, and a computer readable storage medium.
Background
With the continuous development of terminal technology, terminals are widely used in the work and life of users. In the use process of the terminal, the use requirement of a user is usually met through an application installed on the terminal.
Currently, when a user needs to start an application to be used, it is common to first find an application icon of the application on a desktop of a terminal, and then manually click the application icon to start the application. However, on one hand, applications installed on terminals are often blocked, and it is time-consuming for a user to find an application icon of an application to be used; on the other hand, the starting mode of manual clicking requires users to liberate both hands, and the operation convenience is low.
Disclosure of Invention
The embodiment of the application provides an application starting method, an application starting device and a computer readable storage medium, which at least can solve the problems of larger operation time consumption and lower operation convenience caused by the fact that application starting is performed by manually clicking an application icon in the related technology.
An embodiment of the present application provides an application starting method in a first aspect, including:
acquiring an expression characteristic sequence of a target user based on video data acquired by a terminal camera in real time;
determining a corresponding application starting intention according to the expression feature sequence;
and starting the target application associated with the application starting intention according to the application starting intention.
A second aspect of an embodiment of the present application provides an application starting apparatus, including:
the acquisition module is used for acquiring the expression characteristic sequence of the target user based on the video data acquired by the terminal camera in real time;
the determining module is used for determining the corresponding application starting intention according to the expression characteristic sequence;
and the starting module is used for starting the target application associated with the application starting intention according to the application starting intention.
A third aspect of an embodiment of the present application provides an electronic device, including: memory, processor, and bus; the bus is used for realizing connection communication between the memory and the processor; the processor is configured to execute a computer program stored on the memory; when the processor executes the computer program, the steps in the application starting method provided in the first aspect of the embodiment of the application are implemented.
A fourth aspect of the present embodiment provides a computer readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements each step in the application starting method provided in the first aspect of the present embodiment.
From the above, according to the application starting method, the application starting device and the computer readable storage medium provided by the scheme of the application, the expression feature sequence of the target user is obtained based on the video data acquired by the terminal camera in real time; determining a corresponding application starting intention according to the expression characteristic sequence; and starting the target application associated with the application starting intention according to the application starting intention. Through implementation of the scheme, corresponding applications are started according to the expression feature sequences of the users, application starting operation is effectively simplified, operation convenience is improved, and operation time consumption is reduced.
Drawings
Fig. 1 is a basic flow diagram of an application starting method according to a first embodiment of the present application;
fig. 2 is a flowchart of a method for obtaining an expression feature sequence according to a first embodiment of the present application;
fig. 3 is a flowchart illustrating a method for calling an application start intention index table according to a first embodiment of the present application;
fig. 4 is a flowchart of a specific application starting method according to a first embodiment of the present application;
fig. 5 is a detailed flowchart of an application starting method according to a second embodiment of the present application;
FIG. 6 is a schematic program module of an application starting apparatus according to a third embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In order to solve the defects of high operation time consumption and low operation convenience caused by the fact that an application icon is manually clicked to start an application in the related art, the first embodiment of the application provides an application starting method. Fig. 1 is a basic flowchart of an application starting method provided in this embodiment, where the application starting method includes the following steps:
and 101, acquiring an expression characteristic sequence of a target user based on video data acquired by a terminal camera in real time.
Specifically, in this embodiment, when the terminal meets the preset condition, the camera of the terminal is triggered to perform video data acquisition, and it should be understood that, in this embodiment, the expression feature sequence of the terminal user needs to be acquired, so in practical application, the front camera of the terminal is usually controlled to perform video data acquisition, and of course, the video data in this embodiment may also be formed by multiple pieces of image data obtained by uninterrupted photographing by the camera.
It should also be noted that, in this embodiment, the expression feature sequence is formed by combining a plurality of expression features, and the expression feature sequence represents the expression change of the user, so that two adjacent expression features in the expression feature sequence are not identical. The expression features may be associated with feature expressions of facial organs such as eyes, mouth, etc. of the user, for example, the expression features may be blinking left eye, blinking right eye, blinking mouth, frowning, etc., and when the target user performs video acquisition, taking the target user blinks twice in the video acquisition process as an example, the corresponding expression feature sequences are as follows: open eye- > close eye- > open eye.
In some implementations of this embodiment, the terminal camera is triggered to perform the video data acquisition based on a preset condition, where the condition judgment actually is that whether the application start requirement is met or not, in an actual application, after it is determined that the terminal is successfully unlocked and enters the terminal main interface, the terminal is judged to meet the condition of triggering the terminal camera to perform video data acquisition, or when a voice command input by a user is received, the terminal camera is correspondingly triggered to perform video data acquisition.
Step 102, determining a corresponding application starting intention according to the expression feature sequence.
Specifically, the embodiment determines the corresponding application starting intention based on the expression feature sequence, and the diversity of the combination of the expression feature sequence is far greater than that of a single expression feature, so that the application starting intention with more association types is supported in the practical application. For example, if the expression feature sequence is left eye open- > closed eye- > open eye, the corresponding application launch is intended to launch the browser application, and the expression feature sequence is right eye open- > closed eye- > open eye, the corresponding application launch is intended to launch the WeChat application.
It should be understood that the application start intention of the present embodiment may be a basic application start intention for starting a corresponding application, or may be a high-level application start intention for starting a corresponding application in a specific operation mode, which is not limited only herein.
Step 103, starting the target application associated with the application starting intention according to the application starting intention.
Specifically, in this embodiment, based on the Intent that starts the application, the background Service is triggered to call the interface of the ActivityManager (such as the startActivity interface) to start the corresponding application. In this embodiment, the corresponding application is started based on the expression feature sequence of the user, and because the user does not need to manually click on the application icon, on one hand, the application starting operation can be simplified, the convenience of the application starting operation is improved, and on the other hand, in the practical application, the user may set a part of the privacy application on the terminal main interface to a hidden state in view of privacy protection, so that by the application starting method of this embodiment, the privacy application which does not perform icon display on the terminal main interface can be started, and privacy protection capability of application starting is provided.
Fig. 2 is a schematic flow chart of an expression feature sequence obtaining method provided in this embodiment, where in some implementations of this embodiment, based on video data collected by a terminal camera in real time, obtaining an expression feature sequence of a target user specifically includes the following steps:
step 201, decomposing video data acquired by a terminal camera in real time into image frames;
step 202, respectively carrying out face recognition on each image frame to obtain expression characteristics of a target user in each image frame;
and 203, combining all the expression features into an expression feature sequence according to the time sequence of each image frame.
Specifically, in this embodiment, an existing video decomposition algorithm may be used to decompose the acquired video data frame by frame to obtain multiple frame image frames. And then, based on the face recognition technology, carrying out face recognition on the target user in each image frame to obtain the expression characteristics in each image frame. And finally, combining all the expression features according to the sequence based on the time corresponding to each video frame on the time axis, and finally obtaining a complete expression feature sequence. It should be noted that, the change of the expression of the user is usually not completed instantaneously, but a certain time is required, so that the expression features represented by several continuous frames of images may be the same in the acquired video.
Further, in some implementations of the present embodiment, performing face recognition on each image frame, respectively, to obtain expression features of the target user in each image frame includes: respectively carrying out face recognition on each image frame, and determining target users with face features matched with legal face features; and acquiring the expression characteristics of the target user in each image frame.
Specifically, in practical application, a user's terminal usage environment may have people other than the user, so that there may be multiple person objects in the view-finding area of the terminal camera, in order to avoid an application start error caused by identifying the expression features of other person objects other than the terminal user, the embodiment identifies only the expression features of the terminal user when the image frame is subjected to face recognition, and it should be understood that the embodiment determines only person objects meeting preset legal face features as target users by matching the person objects in the image frame with the face features (such as iris features and the like).
In some implementations of the present embodiment, determining the corresponding application launch intent based on the expressive feature sequence includes: querying an application starting intention index table through the expression feature sequence; the application starting intention index table comprises a mapping relation between expression feature sequences and application starting intention; and when the query is successful, determining the application starting intention obtained by the query as the application starting intention corresponding to the expression feature sequence.
Specifically, in this embodiment, a mapping relationship between an expression feature sequence and an application start intention is preset, and then in an actual application, a corresponding application start intention can be obtained based on the expression feature sequence obtained in real time. It should be noted that, in practical application, the user may perform function initialization, that is, the user records the expression feature sequence in a specific setting interface by recording a short video, and then binds the corresponding application starting intention to the recorded expression feature sequence, so as to establish an application starting intention index table.
Further, in some implementations of the present embodiment, after querying the application launch intention index table through the expression feature sequence, further includes: when the query fails, continuously querying a similar expression feature sequence with the similarity higher than a preset similarity threshold value in an application starting intention index table; and determining the application starting intention corresponding to the similar expression feature sequence as the application starting intention corresponding to the expression feature sequence.
Specifically, in practical applications, if the types of the expression feature sequences are more, or the combination of the expression feature sequences is more complex, the user may cause a slight deviation of the expression feature sequences to be displayed due to a memory error, for example, individual expression features in the expression feature sequences corresponding to the applications that the user is expected to start are missing or incorrect, so that the result may not be queried in the application start intention index table. Based on this, the embodiment provides a fault tolerance mechanism, which can continuously use the expression feature sequence obtained in real time as a query parameter when no query result is available, query the similar expression feature sequence with the similarity higher than the preset threshold value with the expression feature sequence obtained in real time, and particularly, the similar expression feature sequence can be the expression feature sequence with the highest similarity with the expression feature sequence obtained in real time, and then output the application starting intention corresponding to the similar expression feature sequence as a query result, thereby ensuring that the user can normally start the application even when the expression feature display is in a slight error.
As shown in fig. 3, which is a schematic flow chart of a method for calling an application start intention index table according to the present embodiment, in some implementations of the present embodiment, before querying the application start intention index table through an expression feature sequence, the method specifically includes the following steps:
step 301, obtaining user identification information of a target user;
step 302, determining corresponding application starting rights based on the user identification information;
step 303, calling an application starting intention index table corresponding to the application starting permission according to the mapping relation between the preset application starting permission and the application starting intention index table.
Specifically, in practical application, the same terminal may have a plurality of legal users, for example, the same terminal may allow a user, etc. to use the terminal, however, in practical application, different usage rights may be set for different legal users, and then corresponding application starting rights may also be correspondingly different. In this embodiment, the application starting permission is correspondingly determined according to the user identifier of the current user, and then the application starting intention index table is correspondingly allocated based on the application starting permission in this embodiment, it should be understood that the expression feature sequences supported in different application starting intention index tables may be different, or the application starting intentions corresponding to the same expression feature sequence in different application starting intention index tables may be different, or the expression feature sequences corresponding to the same application starting intentions in different application starting intention index tables may be different. By means of the application starting intention index table calling mode, different application starting triggering modes can be customized for legal users of different terminals, and therefore differentiated use requirements can be met. It should be noted that the user identification information of the present embodiment may be fingerprint information, iris information, or the like of the user.
As shown in fig. 4, which is a schematic flow chart of a specific application starting method provided in this embodiment, in some implementations of this embodiment, when there are a plurality of application starting intents, starting a target application associated with the application starting intents according to the application starting intents specifically includes the following steps:
step 401, sorting priorities of a plurality of application starting intents according to current terminal use scene information;
step 402, determining a target application starting intention with highest priority according to the sequencing result;
step 403, starting the target application associated with the target application starting intention according to the target application starting intention.
Specifically, in practical applications, if the excessive variety of the expression feature sequences may cause difficulty in clear memory for the user, or if the selectable number of the expression feature sequences is small, so that one expression feature sequence cannot be in one-to-one correspondence with all types of application starting intentions, so that one expression feature sequence can be associated with multiple types of application starting intentions, but when the user displays a specific expression feature sequence, only a single application needs to be started, then a certain application starting intention needs to be determined further from multiple application starting intentions associated with the expression feature sequence. In this embodiment, the priority ranking is performed on the multiple application starting intentions associated with the specific expression feature sequence at the same time according to the terminal usage scenario information (for example, the terminal usage position, the terminal usage time, etc.), and then the application associated with the application starting intention with the highest priority is used as the target application for the expected starting.
Based on the technical scheme of the embodiment of the application, the expression feature sequence of the target user is obtained based on the video data acquired by the terminal camera in real time; determining a corresponding application starting intention according to the expression characteristic sequence; and starting the target application associated with the application starting intention according to the application starting intention. Through implementation of the scheme, corresponding applications are started according to the expression feature sequences of the users, application starting operation is effectively simplified, operation convenience is improved, and operation time consumption is reduced.
The method in fig. 5 is a refined application starting method provided in the second embodiment of the present application, where the application starting method includes:
and step 501, decomposing video data acquired by a terminal camera in real time into image frames.
In practical application, a front camera of a control terminal is usually used for collecting video data, and then an existing video decomposition algorithm is adopted to decompose the collected video data frame by frame so as to obtain multi-frame image frames.
Step 502, face recognition is performed on each image frame, and expression characteristics of the target user in each image frame are obtained.
In this embodiment, based on the face recognition technology, the face recognition is performed on the target user in each image frame, so as to obtain the expression features in each image frame. The expressive features may be associated with a characteristic representation of facial organs of the user's eyes, mouth, etc., for example, the expressive features may be blinking of the left eye, blinking of the right eye, blessing, frowning, etc.
Step 503, combining all the expression features into an expression feature sequence according to the time sequence of each image frame.
In this embodiment, all the expression features are combined according to the sequence based on the time corresponding to each video frame on the time axis, and finally a complete expression feature sequence is obtained. It should be noted that, the expression feature sequence is formed by combining a plurality of expression features, the expression feature sequence represents the expression change of the user, and a typical expression feature sequence may be: open eye- > close eye- > open eye.
Step 504, user identification information of the target user is obtained, and corresponding application starting permission is determined based on the user identification information.
Step 505, calling the application starting intention index table corresponding to the application starting permission according to the mapping relation between the preset application starting permission and the application starting intention index table.
Specifically, in this embodiment, different application starting intention index tables may be customized for legal users of different terminals to meet different application starting requirements, and the user identification information may be fingerprint information, iris information, and the like of the user.
Step 506, querying an application starting intention index table through the expression feature sequence to obtain an application starting intention corresponding to the expression feature sequence.
Specifically, in this embodiment, an application start intention index table including a mapping relationship between an expression feature sequence and an application start intention is preset, and then in an actual application, a corresponding application start intention may be obtained based on a query of the expression feature sequence acquired in real time.
Step 507, starting the target application associated with the application starting intention according to the application starting intention.
Specifically, after determining the Intent for starting the application, the embodiment triggers the background Service to call the interface (such as the startActivity interface) of the ActiveyManager to start the corresponding application.
It should be understood that, the sequence number of each step in this embodiment does not mean the order of execution of the steps, and the execution order of each step should be determined by its functions and internal logic, and should not be construed as a unique limitation on the implementation process of the embodiments of the present application.
The embodiment of the application discloses an application starting method, which is used for acquiring an expression characteristic sequence of a target user based on video data acquired by a terminal camera in real time; determining corresponding application starting permission according to user identification information of a target user, and calling a corresponding application starting intention index table according to a mapping relation between the preset application starting permission and the application starting intention index table; then, inquiring an application starting intention index table through the expression feature sequence to obtain an application starting intention corresponding to the expression feature sequence; and finally, starting the target application associated with the application starting intention according to the application starting intention. Through implementation of the scheme, corresponding applications are started according to the expression feature sequences of the users, application starting operation is effectively simplified, operation convenience is improved, and operation time consumption is reduced.
Fig. 6 is a schematic diagram of an application starting apparatus according to a third embodiment of the present application. The application starting device can be used for realizing the application starting method in the previous embodiment. As shown in fig. 6, the application starting apparatus mainly includes:
the acquiring module 601 is configured to acquire an expression feature sequence of a target user based on video data acquired by a terminal camera in real time;
a determining module 602, configured to determine a corresponding application starting intention according to the expression feature sequence;
the starting module 603 is configured to start, according to the application starting intention, a target application associated with the application starting intention.
In some implementations of the present embodiment, the obtaining module 601 is specifically configured to: decomposing video data acquired by a terminal camera in real time into image frames; respectively carrying out face recognition on each image frame to obtain the expression characteristics of the target user in each image frame; and combining all the expression features into an expression feature sequence according to the time sequence of each image frame.
Further, in other implementations of the present embodiment, when the obtaining module 601 performs face recognition on each image frame to obtain the expression features of the target user in each image frame, the obtaining module is specifically configured to: respectively carrying out face recognition on each image frame, and determining target users with face features matched with legal face features; and acquiring the expression characteristics of the target user in each image frame.
In other implementations of this embodiment, the determining module 602 is specifically configured to: querying an application starting intention index table through the expression feature sequence; and when the query is successful, determining the application starting intention obtained by the query as the application starting intention corresponding to the expression feature sequence. The application starting intention index table comprises a mapping relation between expression characteristic sequences and application starting intention.
Further, in other implementations of the present embodiment, the determining module 602 is further configured to, after querying the application start intention index table through the expression feature sequence: when the query fails, continuously querying a similar expression feature sequence with the similarity higher than a preset similarity threshold value in an application starting intention index table; and determining the application starting intention corresponding to the similar expression feature sequence as the application starting intention corresponding to the expression feature sequence.
Further, in some implementations of the present embodiment, the application starting apparatus further includes: the invoking module is used for acquiring user identification information of the target user before the query application starts the intention index table through the expression feature sequence; determining corresponding application starting rights based on the user identification information; and calling the application starting intention index table corresponding to the application starting permission according to the mapping relation between the preset application starting permission and the application starting intention index table.
In some implementations of the present embodiment, when there are a plurality of application launching intents, the launching module 603 is specifically configured to: according to the current terminal use scene information, priority ordering is carried out on a plurality of application starting intents; determining a target application starting intention with highest priority according to the sequencing result; and starting the target application associated with the target application starting intention according to the target application starting intention.
It should be noted that, the application starting methods in the first and second embodiments may be implemented based on the application starting apparatus provided in the first embodiment, and those skilled in the art can clearly understand that, for convenience and brevity of description, the specific working process of the application starting apparatus described in the present embodiment may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
According to the application starting device provided by the embodiment, the expression characteristic sequence of the target user is obtained based on the video data acquired by the terminal camera in real time; determining a corresponding application starting intention according to the expression characteristic sequence; and starting the target application associated with the application starting intention according to the application starting intention. Through implementation of the scheme, corresponding applications are started according to the expression feature sequences of the users, application starting operation is effectively simplified, operation convenience is improved, and operation time consumption is reduced.
Referring to fig. 7, fig. 7 is an electronic device according to a fourth embodiment of the present application. The electronic device may be used to implement the application starting method in the foregoing embodiments. As shown in fig. 7, the electronic device mainly includes:
memory 701, processor 702, bus 703, and a computer program stored on memory 701 and executable on processor 702, the memory 701 and processor 702 being connected by bus 703. The processor 702, when executing the computer program, implements the application launch method of the foregoing embodiment. Wherein the number of processors may be one or more.
The memory 701 may be a high-speed random access memory (RAM, random Access Memory) memory or a non-volatile memory (non-volatile memory), such as a disk memory. The memory 701 is used for storing executable program codes, and the processor 702 is coupled with the memory 701.
Further, the embodiment of the present application further provides a computer readable storage medium, which may be provided in the electronic device in each of the foregoing embodiments, and the computer readable storage medium may be a memory in the foregoing embodiment shown in fig. 7.
The computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the application launch method of the foregoing embodiment. Further, the computer-readable medium may be any medium capable of storing a program code, such as a usb (universal serial bus), a removable hard disk, a Read-Only Memory (ROM), a RAM, a magnetic disk, or an optical disk.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules illustrated as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a readable storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned readable storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
It should be noted that, for the sake of simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all necessary for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
The foregoing is a description of the method, apparatus, and computer-readable storage medium for application start-up provided herein, and it should not be construed as limiting the application to any extent possible, as long as modifications are within the scope of the application in light of the teaching of the examples of the application.
Claims (10)
1. An application launch method, comprising:
acquiring an expression characteristic sequence of a target user based on video data acquired by a terminal camera in real time;
acquiring user identification information of the target user, determining corresponding application starting permission based on the user identification information, and calling an application starting intention index table corresponding to the application starting permission according to a mapping relation between preset application starting permission and the application starting intention index table;
querying the application starting intention index table through the expression feature sequence to obtain an application starting intention corresponding to the expression feature sequence;
when a plurality of application starting intents exist, sorting the priority of the plurality of application starting intents according to the current terminal use scene information; determining a target application starting intention with highest priority according to the sequencing result; and starting the target application associated with the target application starting intention according to the target application starting intention.
2. The application starting method according to claim 1, wherein the acquiring the expression feature sequence of the target user based on the video data acquired by the terminal camera in real time includes:
decomposing video data acquired by a terminal camera in real time into image frames;
respectively carrying out face recognition on each image frame to obtain expression characteristics of a target user in each image frame;
and combining all the expression features into an expression feature sequence according to the time sequence of each image frame.
3. The application starting method according to claim 2, wherein the performing face recognition on each image frame to obtain the expression features of the target user in each image frame includes:
respectively carrying out face recognition on each image frame, and determining target users with face features matched with legal face features;
and acquiring the expression characteristics of the target user in each image frame.
4. The application starting method according to claim 1, wherein the querying the application starting intention index table through the expression feature sequence to obtain an application starting intention corresponding to the expression feature sequence includes:
and when the query is successful, determining the queried application starting intention as the application starting intention corresponding to the expression feature sequence.
5. The application starting method according to claim 1, wherein the querying the application starting intention index table through the expression feature sequence to obtain an application starting intention corresponding to the expression feature sequence includes:
when the query fails, continuously querying a similar expression feature sequence with the similarity higher than a preset similarity threshold value in the application starting intention index table;
and determining the application starting intention corresponding to the similar expression feature sequence as the application starting intention corresponding to the expression feature sequence.
6. The application launch method of claim 1, wherein the method further comprises:
acquiring an expression feature sequence by recording a short video;
binding the expression feature sequence with the corresponding application starting intention, and establishing the application starting intention index table.
7. The application starting method according to claim 1, wherein the user identification information is fingerprint information or iris information of the target user.
8. An application starting apparatus, comprising:
the acquisition module is used for acquiring the expression characteristic sequence of the target user based on the video data acquired by the terminal camera in real time;
the determining module is used for acquiring the user identification information of the target user, determining the corresponding application starting permission based on the user identification information, and calling the application starting intention index table corresponding to the application starting permission according to the mapping relation between the preset application starting permission and the application starting intention index table; querying the application starting intention index table through the expression feature sequence to obtain an application starting intention corresponding to the expression feature sequence;
the starting module is used for sequencing the priority of the application starting intents according to the current terminal use scene information when the application starting intents are multiple; determining a target application starting intention with highest priority according to the sequencing result; and starting the target application associated with the target application starting intention according to the target application starting intention.
9. An electronic device, comprising: memory, processor, and bus;
the bus is used for realizing connection communication between the memory and the processor;
the processor is used for executing the computer program stored on the memory;
the processor, when executing the computer program, implements the steps of the method of any one of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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