WO2020024686A1 - 基于人脸识别的差异化应用加载方法、装置和终端设备 - Google Patents
基于人脸识别的差异化应用加载方法、装置和终端设备 Download PDFInfo
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- WO2020024686A1 WO2020024686A1 PCT/CN2019/088951 CN2019088951W WO2020024686A1 WO 2020024686 A1 WO2020024686 A1 WO 2020024686A1 CN 2019088951 W CN2019088951 W CN 2019088951W WO 2020024686 A1 WO2020024686 A1 WO 2020024686A1
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- terminal device
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- gyroscope
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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
- G06F9/451—Execution arrangements for user interfaces
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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
- 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
- G06V40/172—Classification, e.g. identification
Definitions
- the present disclosure relates to the technical field of mobile terminals, and in particular, to a method, a device, and a terminal device for loading a differentiated application based on face recognition.
- terminal equipment mobile phones, tablet computers, etc.
- the user's terminal device is often used by others.
- applications Application, APP for short
- the terminal device involve user privacy
- the parent may not want the child to use a game application or a video application in the terminal device, and only use a learning application.
- the present disclosure proposes a method, a device, and a terminal device for loading a differentiated application based on face recognition, so as to load different applications to the desktop of the terminal device for different users, that is, to set different application access rights for different users.
- the face recognition technology is used to enable different users to access different applications, effectively protecting the privacy and safety of the user.
- An embodiment of one aspect of the present disclosure provides a method for loading a differentiated application based on face recognition, including:
- the method for loading a differentiated application based on face recognition is that, when it is detected that a user triggers a bright screen unlocking of a terminal device, a front camera is started, and an image is collected through the front camera, and then the collected image is Perform face recognition to obtain the type of user in the image, and then determine the corresponding application list according to the type of user, where the application list contains at least one application to be loaded, and finally control the terminal device to load at least one application to be loaded Load to the desktop of the terminal device. Therefore, different applications can be loaded to the desktop of the terminal device for different users, that is, different application access rights are set for different users, so as to meet the personalized application access requirements of different users.
- the face recognition technology is used to enable different users to access different applications, effectively protecting the privacy and safety of the user.
- An embodiment of still another aspect of the present disclosure provides a differentiated application loading device based on face recognition, including:
- An image acquisition module configured to start a front camera when detecting that a user triggers a bright screen unlock of a terminal device, and perform image acquisition through the front camera;
- An image recognition module configured to perform face recognition on the collected image to obtain the type of user in the image
- An application determining module configured to determine a corresponding application list according to the type of the user, wherein the application list includes at least one application to be loaded;
- An application loading module is configured to control the terminal device to load the at least one application to be loaded to a desktop of the terminal device.
- the face-recognition-based differential application loading device starts a front-facing camera when detecting that a user triggers a bright screen unlock of a terminal device, and performs image collection through the front-facing camera, and then collects the captured image. Perform face recognition to obtain the type of user in the image, and then determine the corresponding application list according to the type of user, where the application list contains at least one application to be loaded, and finally control the terminal device to load at least one application to be loaded Load to the desktop of the terminal device. Therefore, different applications can be loaded to the desktop of the terminal device for different users, that is, different application access rights are set for different users, so as to meet the personalized application access requirements of different users.
- the face recognition technology is used to enable different users to access different applications, effectively protecting the privacy and safety of the user.
- An embodiment of another aspect of the present disclosure provides a terminal device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, A method for loading a differentiated application based on face recognition as proposed in the foregoing embodiment of the present disclosure is implemented.
- An embodiment of another aspect of the present disclosure provides a non-transitory computer-readable storage medium on which a computer program is stored, characterized in that when the program is executed by a processor, the human-based Differential application loading method for face recognition.
- FIG. 1 is a schematic flowchart of a method for loading a differentiated application based on face recognition according to Embodiment 1 of the present disclosure
- FIG. 2 is a schematic flowchart of a method for loading a differentiated application based on face recognition according to Embodiment 2 of the present disclosure
- FIG. 3 is a schematic flowchart of a method for loading a differentiated application based on face recognition according to Embodiment 3 of the present disclosure
- FIG. 4 is a schematic flowchart of a method for loading a differentiated application based on face recognition according to Embodiment 4 of the present disclosure
- FIG. 5 is a schematic structural diagram of a face recognition-based differential application loading device according to Embodiment 5 of the present disclosure
- FIG. 6 is a schematic structural diagram of a face recognition-based differential application loading device according to a sixth embodiment of the present disclosure.
- the present disclosure is mainly directed to a technical problem that a user's privacy in an application program is easily leaked in the prior art, and provides a differential application loading method based on face recognition.
- the method for loading a differentiated application based on face recognition is that, when it is detected that a user triggers a bright screen unlocking of a terminal device, a front camera is started, and an image is collected through the front camera, and then the collected image is Perform face recognition to obtain the type of user in the image, and then determine the corresponding application list according to the type of user, where the application list contains at least one application to be loaded, and finally control the terminal device to load at least one application to be loaded Load to the desktop of the terminal device. Therefore, different applications can be loaded to the desktop of the terminal device for different users, that is, different application access rights are set for different users, so as to meet the personalized application access requirements of different users.
- the face recognition technology is used to enable different users to access different applications, effectively protecting the privacy and safety of the user.
- FIG. 1 is a schematic flowchart of a method for loading a differentiated application based on face recognition according to Embodiment 1 of the present disclosure.
- the method for loading a differentiated application based on face recognition may include the following steps:
- step 101 when it is detected that the user triggers the unlocking of the bright screen of the terminal device, the front camera is activated, and image acquisition is performed through the front camera.
- the terminal device may be provided with a listener to monitor the bright screen unlock operation triggered by the user.
- the user may trigger a biometric identification module on the terminal device, such as a fingerprint identification module and face recognition. Module, etc. to unlock the bright screen, or the user can unlock the bright screen by pressing the power button on the terminal device and / or triggering a sliding operation, or the user can press the power button on the terminal device and / or enter a digital password , To unlock the bright screen, or the user can trigger the bright screen unlock of the terminal device by entering the wake-up word, which is not limited.
- the front camera When the listener detects that the user triggers the unlocking of the bright screen of the terminal device, the front camera can be activated, and then the front camera can be used for image acquisition.
- Step 102 Perform face recognition on the collected image to obtain the type of user in the image.
- the face recognition technology can be used to perform face recognition on the collected image, thereby determining the type of the user in the image.
- face images of different users may be pre-entered in the terminal device, and then based on the face recognition technology, facial features corresponding to the face images of different users are extracted, and the extracted face features are used as samples And then store the sample facial features in the database of the terminal device.
- the front camera When the front camera collects the image, it can recognize the collected image based on the face recognition technology, determine the user's face features in the image, and then compare the user's face features in the image with all the samples in the database. Match the facial features and determine whether the facial features of the user in the image match the facial features of a sample in the database. If so, the type of the matched sample is used as the type of the user in the image.
- Step 103 Determine a corresponding application list according to the type of the user, where the application list includes at least one application to be loaded.
- the corresponding application list when the types of users are different, the corresponding application list may be the same or different.
- the corresponding application list when the user is determined to be a parent according to the type of the user, the corresponding application list may include all installed applications in the terminal device, and when the user is determined to be a child according to the type of the user, the corresponding application list You can include learning applications.
- the owner of the non-terminal device is determined according to the type of the user, the corresponding application list may not include payment applications and / or social applications, etc., and when the user is determined according to the type of the user as When the owner of the terminal device, the corresponding application list may include all installed applications in the terminal device.
- the correspondence relationship between the types of different users and different application lists can be established in advance. After the type of the user is determined, the above correspondence can be queried to obtain the application corresponding to the type of the user. Program list, simple operation, and easy to implement.
- Step 104 The terminal device is controlled to load at least one application to be loaded onto a desktop of the terminal device.
- the terminal device after determining the application list corresponding to the type of the user, the terminal device can be controlled to load at least one application to be loaded in the application list to the interface of the terminal device, so that the user can only view or access the terminal Applications displayed on the device's desktop. Therefore, different applications can be loaded to the desktop of the terminal device for different users, that is, different application access rights are set for different users to meet the individual needs of different users.
- face recognition technology can be used to enable different users to access different applications, effectively protecting the privacy and safety of the user.
- AMS Activity Management Service
- PMS Power Manager Service
- the authority of the user can be determined, and the terminal device is managed and controlled accordingly according to the authority of the user in combination with the user's control instruction, for example, the user is determined to be a non-terminal according to the type of the user
- the user's permissions can be ordinary permissions. Therefore, the user can only have the permission to view the application, but not the permission to download, install, delete the application, etc .; and when determining the user according to the type of the user When being the owner of the terminal device, the user's permissions can be management permissions, so the user can have permissions to download and install, delete applications, and so on.
- the method for loading a differentiated application based on face recognition is that, when it is detected that a user triggers a bright screen unlocking of a terminal device, a front camera is started, and an image is collected through the front camera, and then the collected image is Perform face recognition to obtain the type of user in the image, and then determine the corresponding application list according to the type of user, where the application list contains at least one application to be loaded, and finally control the terminal device to load at least one application to be loaded Load to the desktop of the terminal device. Therefore, different applications can be loaded to the desktop of the terminal device for different users, that is, different application access rights are set for different users, so as to meet the personalized application access requirements of different users.
- the face recognition technology is used to enable different users to access different applications, effectively protecting the privacy and safety of the user.
- a terminal device when a terminal device is turned on, a user switching may occur. At this time, in order to ensure the privacy of the user, the identity of the user of the terminal device may be verified. The above process is described in detail below with reference to FIG. 2.
- FIG. 2 is a schematic flowchart of a method for loading a differentiated application based on face recognition according to Embodiment 2 of the present disclosure.
- the method for loading a differentiated application based on face recognition may include the following steps:
- step 201 it is monitored whether the user triggers the bright screen unlocking of the terminal device. If so, step 203 is performed, otherwise, step 202 is performed.
- step 202 no processing is performed.
- Step 203 Start the front camera, and perform image acquisition through the front camera.
- step 203 For the execution process of step 203, refer to the execution process of step 102 in the foregoing embodiment, and details are not described herein.
- Step 204 Perform face recognition on the collected image to obtain the facial features of the user in the image.
- the face recognition technology can be used to perform face recognition on the collected image to obtain the user's face features in the image.
- Step 205 Match the facial features of the user in the image with the facial features of at least one sample established in advance.
- step 206 it is determined whether the facial features of the user in the image match the facial features of one of the at least one sample successfully. If yes, go to step 207; otherwise, go to step 211.
- step 207 when the facial features of the user in the image are successfully matched with the facial features of at least one sample, it indicates that the user has the right to use the terminal device. At this time, step 207 may be triggered, and When the facial features of the user in the image fail to match the facial features of any of the at least one sample, in order to ensure the privacy of the user, step 211 may be performed.
- Step 207 Determine the type of the matched sample, and use the type of the matched sample as the type of the user in the image.
- Step 208 Determine a corresponding application list according to the type of the user, where the application list includes at least one application to be loaded.
- Step 209 Control the terminal device to load at least one application program to be loaded onto the desktop of the terminal device.
- steps 208-209 For the execution process of steps 208-209, refer to the execution process of steps 103-104 in the foregoing embodiment, and details are not described herein.
- step 210 the stability detection component is triggered to detect whether the terminal device is currently in a stable state. If so, step 202 is performed, otherwise, step 211 is performed.
- the stability detection component may be a related sensor, such as a gyroscope, a vibration sensor, and the like.
- step 211 when the terminal device is on the screen, if the user of the terminal device switches, the terminal device will be in an unstable state. Therefore, in the present disclosure, when the stability detection component detects that the terminal device is currently in a stable state, At this time, no processing is required, and when the stability detection component detects that the terminal device is not currently in a stable state, in order to ensure the privacy of the user, step 211 may be performed.
- Step 211 Control the terminal device to prohibit loading an application program to the desktop.
- step 212 it is detected whether the terminal device is currently in a stable state. If so, step 203 is performed, otherwise, step 211 is performed.
- step 211 when the stability detection component detects that the terminal device is in a stable state again, at this time, the steps of starting the front camera and performing image acquisition through the front camera may be performed, that is, the user of the terminal device is Identity type verification, and then load the corresponding application to the desktop of the terminal device according to the type of the user, and when the stability detection component detects that the terminal device is not yet in a stable state, in order to ensure the privacy of the user, step 211 may be performed.
- the method for loading a differentiated application based on face recognition can load different applications to the desktop of a terminal device for different users, that is, set different application access permissions for different users, thereby satisfying the personality of different users. Application access requirements.
- the face recognition technology is used to enable different users to access different applications, effectively protecting the privacy and safety of the user.
- controlling the terminal device to prohibit the application program from being loaded to the desktop can further ensure the privacy and security of the user.
- step 210 may specifically include the following sub-steps:
- Step 301 Trigger the gyroscope to record the component values of each axis of the gyroscope.
- Step 302 Determine whether the amplitude of the shake of the gyroscope is stable according to the component values of the axes of the gyroscope recorded in the preset time period.
- the terminal device when the terminal device is turned on, if the user of the terminal device switches, the terminal device will experience a large jitter within a preset period of time. Therefore, in this disclosure, the The component values of each axis of the gyroscope are recorded to determine whether the jitter amplitude of the gyroscope is stable.
- the gyroscope detects the displacement amount of the terminal device in various directions and is recorded in the present disclosure as that each axis component value is less than or equal to a preset offset amount, it is considered that the terminal device is currently in a stable state. At this time, it is possible to Determine that the gyroscope's jitter amplitude is stable, and when the gyroscope detects that the displacement of the terminal device in any direction is greater than the preset offset, that is, when any component value of each axis component value is greater than the preset offset , It is considered that the terminal device is not currently in a stable state. At this time, it can be determined that the jitter amplitude of the gyroscope is not stable.
- the preset offset may be preset in a built-in program of the terminal device, or may be set by a user, which is not limited.
- step 303 when it is determined that the wobble amplitude of the gyroscope is not stable, it returns to the step of triggering the gyroscope to record the component values of each axis of the gyroscope.
- the process may return to step 301 until the terminal device is in a stable state.
- step 304 when it is determined that the jitter amplitude of the gyroscope is stable, it is determined that the terminal device is currently in a stable state.
- step 210 may specifically include the following sub-steps:
- Step 401 Receive an output signal of a vibration sensor.
- a vibration sensor is used to detect whether a terminal device is in a vibration state.
- the vibration sensor is in the working state, the motion data of the terminal device can be collected, and the collected motion data can be converted into electrical signals.
- Step 402 Determine whether the terminal device is currently in a stable state according to an output signal of the vibration sensor.
- the terminal device it can be determined whether the terminal device is currently in a stable state according to the output signal of the vibration sensor. For example, according to the output signal of the vibration sensor, the output voltage and output current can be determined. When the output voltage and output current exceed a preset threshold, it can be determined that the terminal device is not currently in a stable state, and when the output voltage and output current do not exceed When the threshold is preset, it can be determined that the terminal device is currently in a stable state.
- the preset threshold may be preset in a built-in program of the terminal device, or may be set by a user, which is not limited.
- the present disclosure also proposes a differentiated application loading device based on face recognition.
- FIG. 5 is a schematic structural diagram of a face recognition-based differential application loading device according to a fifth embodiment of the present disclosure.
- the differential application loading device 100 based on face recognition includes an image acquisition module 110, an image recognition module 120, an application determination module 130, and an application loading module 140. among them,
- the image acquisition module 110 is configured to start a front camera when it is detected that the user triggers the bright screen of the terminal device to be unlocked, and perform image acquisition through the front camera.
- the image recognition module 120 is configured to perform face recognition on the collected image to obtain the type of the user in the image.
- the application determining module 130 is configured to determine a corresponding application list according to the type of the user, where the application list includes at least one application to be loaded.
- An application loading module 140 is configured to control the terminal device to load the at least one application to be loaded to a desktop of the terminal device.
- the face recognition-based differential application loading device 100 may further include a detection module. 150.
- the detection module 150 is configured to trigger the stability detection component to detect whether the terminal device is currently in a stable state after detecting that the user triggers the bright screen of the terminal device to be unlocked.
- the control module 160 is configured to control the terminal device to prohibit an application from being loaded to the desktop when it is detected that the terminal device is not currently in a stable state.
- the image acquisition module 110 is further configured to start a front camera when detecting that the terminal device is currently in a stable state, and perform image acquisition through the front camera.
- the detection module 150 is specifically configured to: trigger the gyroscope to record the component values of the axes of the gyroscope; and determine the shake of the gyroscope according to the component values of the axes of the gyroscope recorded within a preset time period. Whether the amplitude is stable; when it is determined that the jitter amplitude of the gyroscope is not stable, return to and execute the step of triggering the gyroscope to record the component values of each axis of the gyroscope; when it is determined that the jitter amplitude of the gyroscope is stable, determine that the terminal device is currently in a stable state.
- the detection module 150 is further configured to: if the component values of each axis of the gyroscope recorded within a preset time period are less than or equal to a preset offset value, determine that the shake amplitude of the gyroscope is stable; One of the component values of each axis of the gyroscope recorded during the time period is greater than a preset offset, and it is determined that the jitter amplitude of the gyroscope is not stable.
- the stability detection component is a vibration sensor.
- the detection module 150 is specifically configured to: receive an output signal of the vibration sensor; and determine whether the terminal device is currently in a stable state according to the output signal of the vibration sensor.
- the detection module 150 is further configured to determine the output voltage or output current according to the output signal of the vibration sensor; if the output voltage or output current does not exceed a preset threshold, determine that the terminal device is currently in a stable state; if the output voltage Or the output current exceeds a preset threshold, it is determined that the terminal device is not currently in a stable state.
- the image recognition module 120 is specifically configured to: perform face recognition on the collected image to obtain the facial features of the user in the image; and compare the facial features of the user in the image with at least one established in advance Match the facial features of the samples; when the facial features of the user in the image match the facial features of at least one of the samples, determine the type of the matched sample, and use the type of the matched sample as the image The user's permission type.
- control module 160 is further configured to control the terminal device from loading an application to the desktop when the facial features of the user in the image fail to match the facial features of any sample in at least one sample.
- the authority determining module 170 is configured to determine the authority of the user according to the type of the user.
- the management control module 180 is configured to perform corresponding management control on the terminal device according to the user's authority and the user's control instruction.
- the face-recognition-based differential application loading device starts a front-facing camera when detecting that a user triggers a bright screen unlock of a terminal device, and performs image collection through the front-facing camera, and then collects the captured image. Perform face recognition to obtain the type of user in the image, and then determine the corresponding application list according to the type of user, where the application list contains at least one application to be loaded, and finally control the terminal device to load at least one application to be loaded Load to the desktop of the terminal device. Therefore, different applications can be loaded to the desktop of the terminal device for different users, that is, different application access rights are set for different users, so as to meet the personalized application access requirements of different users.
- the face recognition technology is used to enable different users to access different applications, effectively protecting the user's privacy and security.
- the present disclosure also proposes a terminal device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor.
- a terminal device including: a memory, a processor, and a computer program stored on the memory and executable on the processor.
- the processor executes the program, the foregoing embodiment of the present disclosure is implemented.
- This paper proposes a method for loading differential applications based on face recognition.
- the present disclosure also proposes a computer-readable storage medium having stored thereon a computer program, which is characterized in that when the program is executed by a processor, the face recognition-based Differential application loading method.
- first and second are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as “first” and “second” may explicitly or implicitly include at least one of the features. In the description of the present disclosure, the meaning of "a plurality” is at least two, for example, two, three, etc., unless it is specifically and specifically defined otherwise.
- any process or method description in a flowchart or otherwise described herein can be understood as representing a module, fragment, or portion of code that includes one or more executable instructions for implementing steps of a custom logic function or process
- the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order according to the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present disclosure belong.
- Logic and / or steps represented in a flowchart or otherwise described herein, for example, a sequenced list of executable instructions that may be considered to implement a logical function, may be embodied in any computer-readable medium, For use by, or in combination with, an instruction execution system, device, or device (such as a computer-based system, a system that includes a processor, or another system that can fetch and execute instructions from an instruction execution system, device, or device) Or equipment.
- a "computer-readable medium” may be any device that can contain, store, communicate, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.
- computer-readable media include the following: electrical connections (electronic devices) with one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disk read-only memory (CDROM).
- the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable Processing to obtain the program electronically and then store it in computer memory.
- portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.
- multiple steps or methods may be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system.
- Discrete logic circuits with logic gates for implementing logic functions on data signals Logic circuits, ASICs with suitable combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.
- a person of ordinary skill in the art can understand that all or part of the steps carried by the methods in the foregoing embodiments can be implemented by a program instructing related hardware.
- the program can be stored in a computer-readable storage medium.
- the program is When executed, one or a combination of the steps of the method embodiment is included.
- each functional unit in each embodiment of the present disclosure may be integrated into one processing module, or each unit may exist separately physically, or two or more units may be integrated into one module.
- the above integrated modules may be implemented in the form of hardware or software functional modules. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
- the aforementioned storage medium may be a read-only memory, a magnetic disk, or an optical disk.
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Abstract
本公开公开了一种基于人脸识别的差异化应用加载方法、装置和终端设备，其中，方法包括：在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过前置摄像头进行图像采集；对采集到的图像进行人脸识别以得到图像中用户的权限类型；根据用户的权限类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序；控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。该方法能够针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求，有效地保护了用户的隐私安全。
Description
相关申请的交叉引用
本公开要求OPPO广东移动通信有限公司于2018年08月01日提交的、申请名称为“基于人脸识别的差异化应用加载方法、装置和终端设备”的、中国专利申请号“201810866408.5”的优先权。
本公开涉及移动终端技术领域，尤其涉及一种基于人脸识别的差异化应用加载方法、装置和终端设备。
随着终端技术和移动通信技术的不断发展，终端设备(手机、平板电脑等)已经成为人们日常生活中不可缺少的通信工具。
在一些场景下，用户的终端设备经常会被别人使用，由于终端设备中的一些应用程序(Application，简称APP)涉及到用户隐私，当别人使用用户的终端设备时，可能造成用户的隐私被泄露的情况。或者，当家长和孩子共同使用一个终端设备时，家长可能不希望孩子使用终端设备中的游戏类应用程序或者视频类应用程序，而只使用学习类应用程序。
因此，如何提供个性化的应用程序使用权限，从而保护用户隐私成为亟待解决的难题。
公开内容
本公开提出一种基于人脸识别的差异化应用加载方法、装置和终端设备，以实现针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求。此外，当用户触发亮屏解锁时，利用人脸识别技术，使不同的用户访问不同的应用程序，有效地保护了用户的隐私安全。
本公开一方面实施例提出了一种基于人脸识别的差异化应用加载方法，包括：
在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过所述前置摄像头进行图像采集；
对采集到的图像进行人脸识别以得到所述图像中用户的类型；
根据所述用户的类型，确定出对应的应用程序列表，其中，所述应用程序列表包含至 少一个待加载应用程序；以及
控制所述终端设备将所述至少一个待加载应用程序加载至所述终端设备的桌面。
本公开实施例的基于人脸识别的差异化应用加载方法，通过在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过前置摄像头进行图像采集，而后对采集到的图像进行人脸识别以得到图像中用户的类型，接着根据用户的类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序，最后控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。由此，可以针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求。此外，当用户触发亮屏解锁时，利用人脸识别技术，使不同的用户访问不同的应用程序，有效地保护了用户的隐私安全。
本公开又一方面实施例提出了一种基于人脸识别的差异化应用加载装置，包括：
图像采集模块，用于在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过所述前置摄像头进行图像采集；
图像识别模块，用于对采集到的图像进行人脸识别以得到所述图像中用户的类型；
应用确定模块，用于根据所述用户的类型，确定出对应的应用程序列表，其中，所述应用程序列表包含至少一个待加载应用程序；以及
应用加载模块，用于控制所述终端设备将所述至少一个待加载应用程序加载至所述终端设备的桌面。
本公开实施例的基于人脸识别的差异化应用加载装置，通过在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过前置摄像头进行图像采集，而后对采集到的图像进行人脸识别以得到图像中用户的类型，接着根据用户的类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序，最后控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。由此，可以针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求。此外，当用户触发亮屏解锁时，利用人脸识别技术，使不同的用户访问不同的应用程序，有效地保护了用户的隐私安全。
本公开又一方面实施例提出了一种终端设备，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述程序时，实现如本公开前述实施例提出的基于人脸识别的差异化应用加载方法。
本公开又一方面实施例提出了一种非临时性计算机可读存储介质，其上存储有计算机程序，其特征在于，所述程序被处理器执行时实现如本公开前述实施例提出的基于人脸识别的差异化应用加载方法。
本公开附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本公开的实践了解到。
为了更清楚地说明本公开实施例中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为本公开实施例一所提供的基于人脸识别的差异化应用加载方法的流程示意图；
图2为本公开实施例二所提供的基于人脸识别的差异化应用加载方法的流程示意图；
图3为本公开实施例三所提供的基于人脸识别的差异化应用加载方法的流程示意图；
图4为本公开实施例四所提供的基于人脸识别的差异化应用加载方法的流程示意图；
图5为本公开实施例五所提供的基于人脸识别的差异化应用加载装置的结构示意图；
图6为本公开实施例六所提供的基于人脸识别的差异化应用加载装置的结构示意图。
下面详细描述本公开的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本公开，而不能理解为对本公开的限制。
本公开主要针对现有技术中应用程序中的用户隐私容易被泄露的技术问题，提供一种基于人脸识别的差异化应用加载方法。
本公开实施例的基于人脸识别的差异化应用加载方法，通过在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过前置摄像头进行图像采集，而后对采集到的图像进行人脸识别以得到图像中用户的类型，接着根据用户的类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序，最后控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。由此，可以针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求。此外，当用户触发亮屏解锁时，利用人脸识别技术，使不同的用户访问不同的应用程序，有效地保护了用户的隐私安全。
下面参考附图描述本公开实施例的基于人脸识别的差异化应用加载方法、装置和终端设备。
图1为本公开实施例一所提供的基于人脸识别的差异化应用加载方法的流程示意图。
如图1所示，该基于人脸识别的差异化应用加载方法可以包括以下步骤：
步骤101，在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过前置摄像头进行图像采集。
本公开实施例中，终端设备中可以设置有监听器，以对用户触发的亮屏解锁操作进行监听，例如，用户可以通过触发终端设备上的生物特征识别模块，例如指纹识别模块，人脸识别模块等，进行亮屏解锁，或者，用户可以通过按压终端设备上的电源按键和/或触发滑动操作，进行亮屏解锁，或者，用户可以通过按压终端设备上的电源按键和/或输入数字密码，进行亮屏解锁，或者，用户可以通过输入唤醒词，触发终端设备的亮屏解锁，对此不作限制。
当监听器监听到用户触发终端设备的亮屏解锁时，可以启动前置摄像头，而后通过前置摄像头进行图像采集。
步骤102，对采集到的图像进行人脸识别以得到图像中用户的类型。
本公开实施例中，可以基于人脸识别技术，对采集到的图像进行人脸识别，从而确定图像中用户的类型。
作为一种可能的实现方式，终端设备中可以预先录入不同用户的人脸图像，而后基于人脸识别技术，提取不同用户的人脸图像对应的人脸特征，并将提取的人脸特征作为样本的人脸特征，而后将样本的人脸特征存储到终端设备的数据库中。
在前置摄像头采集到图像时，可以基于人脸识别技术，对采集到的图像进行识别，确定图像中用户的人脸特征，而后将图像中用户的人脸特征与数据库中的所有样本的人脸特征进行匹配，并判断图像中用户的人脸特征是否与数据库中的一个样本的人脸特征匹配成功，若是，则将匹配到的样本的类型，作为图像中用户的类型。
步骤103，根据用户的类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序。
本公开实施例中，用户的类型不同时，对应的应用程序列表可以相同或者不同。例如，当根据用户的类型确定该用户为家长时，对应的应用程序列表中可以包括终端设备中所有已安装的应用程序，而当根据用户的类型确定该用户为孩子时，对应的应用程序列表中可以包括学习类的应用程序。或者，当根据用户的类型确定该用户非终端设备的机主时，对应的应用程序列表中可以不包括支付类应用程序和/或社交类应用程序等，而当根据用户的类型确定该用户为终端设备的机主时，对应的应用程序列表中可以包括终端设备中所有已安装的应用程序。
作为一种可能的实现方式，可以预先建立不同用户的类型与不同的应用程序列表之间的对应关系，在确定用户的类型后，可以通过查询上述对应关系，获取与该用户的类型对 应的应用程序列表，操作简单，且易于实现。
步骤104，控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。
本公开实施例中，在确定用户的类型对应的应用程序列表后，可以控制终端设备，将应用程序列表中的至少一个待加载应用程序加载至终端设备的界面，从而用户只能查看或访问终端设备的桌面显示的应用程序。由此，可以针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，满足不同用户的个性化需求。此外，当用户触发亮屏解锁时，可以利用人脸识别技术，使不同的用户访问不同的应用程序，有效地保护了用户的隐私安全。
例如，可以通过触发系统应用管理服务：活动管理服务(ActivityManagerService，简称AMS)和启动包管理服务(PackageManagerService，简称PMS)更新应用程序列表，并通过系统广播通知终端设备的桌面和将应用程序列表中的至少一个待加载的应用程序，刷新桌面上的应用程序图标，即可实现将至少一个待加载应用程序加载至终端设备的桌面。
进一步，在确定该用户的类型后，还可以确定该用户的权限，并根据该用户的权限结合用户的控制指令对终端设备进行相应的管理控制，比如，根据该用户的类型确定该用户非终端设备的机主时，该用户的权限可以为普通权限，因此，该用户可以只具有查看应用程序的权限，而没有下载安装、删除应用程序的权限等；而当根据该用户的类型确定该用户为终端设备的机主时，该用户的权限可以为管理权限，因此，该用户可以具有下载安装、删除应用程序的权限等。
本公开实施例的基于人脸识别的差异化应用加载方法，通过在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过前置摄像头进行图像采集，而后对采集到的图像进行人脸识别以得到图像中用户的类型，接着根据用户的类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序，最后控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。由此，可以针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求。此外，当用户触发亮屏解锁时，利用人脸识别技术，使不同的用户访问不同的应用程序，有效地保护了用户的隐私安全。
需要说明的是，在一些场景下，当终端设备亮屏时，可能发生使用用户切换的情况，此时，为了保证用户的隐私安全，可以对该终端设备的使用用户的身份进行校验。下面结合图2，对上述过程进行详细说明。
图2为本公开实施例二所提供的基于人脸识别的差异化应用加载方法的流程示意图。
如图2所示，该基于人脸识别的差异化应用加载方法可以包括以下步骤：
步骤201，监测用户是否触发终端设备的亮屏解锁，若是，执行步骤203，否则，执行 步骤202。
步骤202，不做任何处理。
为了节省终端设备的能耗，从而提升终端设备的续航能力，本公开实施例中，在用户未触发终端设备的亮屏解锁时，可以不做任何处理。
步骤203，启动前置摄像头，并通过前置摄像头进行图像采集。
步骤203的执行过程可以参见上述实施例中步骤102的执行过程，在此不做赘述。
步骤204，对采集到的图像进行人脸识别，得到图像中用户的人脸特征。
可选地，可以利用人脸识别技术，对对采集到的图像进行人脸识别，得到图像中用户的人脸特征。
步骤205，将图像中用户的人脸特征与预先建立的至少一个样本的人脸特征进行匹配。
步骤206，判断图像中用户的人脸特征是否与至少一个样本中的一个样本的人脸特征匹配成功，若是，执行步骤207，否则，执行步骤211。
本公开实施例中，在图像中用户的人脸特征与至少一个样本中的一个样本的人脸特征来匹配成功时，表明该用户具有使用终端设备的权限，此时，可以触发步骤207，而在图像中用户的人脸特征与至少一个样本中的任意样本的人脸特征均匹配失败时，为了保证用户的隐私安全，可以执行步骤211。
步骤207，确定匹配到的样本的类型，并将匹配到的样本的类型作为图像中用户的类型。
步骤208，根据用户的类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序。
步骤209，控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。
步骤208-209的执行过程可以参见上述实施例中步骤103-104的执行过程，在此不做赘述。
步骤210，触发稳定性检测组件检测终端设备当前是否处于稳定状态，若是，执行步骤202，否则，执行步骤211。
本公开实施例中，稳定性检测组件可以为相关传感器，比如陀螺仪、振动传感器等。
可以理解的是，当终端设备亮屏时，如果终端设备的使用用户切换时，则终端设备将处于非稳定状态，因此，本公开中，当稳定性检测组件检测终端设备当前处于稳定状态时，此时，可以不做任何处理，而当稳定性检测组件检测终端设备当前未处于稳定状态时，为了保证用户的隐私安全，可以执行步骤211。
步骤211，控制终端设备禁止加载应用程序到桌面。
步骤212，检测终端设备当前是否处于稳定状态，若是，执行步骤203，否则，执行步骤211。
本公开实施例中，在稳定性检测组件检测到终端设备重新处于稳定状态时，此时，可以执行启动前置摄像头，并通过前置摄像头进行图像采集的步骤，即对终端设备的使用用户进行身份类型校验，而后根据用户的类型加载相应的应用程序至终端设备的桌面，而在稳定性检测组件检测到终端设备仍未处于稳定状态时，为了保证用户的隐私安全，可以执行步骤211。
本公开实施例的基于人脸识别的差异化应用加载方法，可以针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求。此外，当用户触发亮屏解锁时，利用人脸识别技术，使不同的用户访问不同的应用程序，有效地保护了用户的隐私安全。进一步地，在稳定性检测组件检测终端设备当前未处于稳定状态时，控制终端设备禁止加载应用程序到桌面，能够进一步保证用户的隐私安全。
作为一种可能的实现方式，当稳定性检测组件为陀螺仪时，参见图3，步骤210具体可以包括以下子步骤：
步骤301，触发陀螺仪记录陀螺仪的各轴分量值。
步骤302，根据在预设时间段内记录的陀螺仪的各轴分量值，判断陀螺仪的抖动幅度是否平稳。
可以理解的是，当终端设备亮屏时，如果终端设备的使用用户切换时，则终端设备在预设时间段内将发生较大的抖动，因此，本公开中，可以根据在预设时间段内记录的陀螺仪的各轴分量值，判断陀螺仪的抖动幅度是否平稳。
具体地，当陀螺仪检测到终端设备在各个方向上的位移量，本公开中记为各轴分量值均小于等于预设偏移量时，则认为终端设备当前处于稳定状态，此时，可以确定陀螺仪的抖动幅度平稳，而当检测到陀螺仪检测到终端设备在任一方向上的位移量大于预设偏移量时，即各轴分量值中的任一分量值大于预设偏移量时，则认为终端设备当前未处于稳定状态，此时，可以确定陀螺仪的抖动幅度未平稳。
其中，预设偏移量可以预设在终端设备的内置程序中，或者可以由用户进行设置，对此不作限制。
步骤303，在判定陀螺仪的抖动幅度未平稳时，返回执行触发陀螺仪记录陀螺仪的各轴分量值的步骤。
本公开实施例中，在判定陀螺仪的抖动幅度未平稳时，表明终端设备当前未处于稳定状态，此时，可以返回执行步骤301，直到终端设备处于稳定状态为止。
步骤304，在判定陀螺仪的抖动幅度平稳时，确定终端设备当前处于稳定状态。
作为另一种可能的实现方式，当稳定性检测组件为振动传感器时，参见图4，步骤210 具体可以包括以下子步骤：
步骤401，接收振动传感器的输出信号。
本公开实施例中，振动传感器，用于检测终端设备是否处于振动状态。当振动传感器处于工作状态时，可以对终端设备的运动数据进行采集，并将采集的运动数据转换为电信号。
步骤402，根据振动传感器的输出信号判断终端设备当前是否处于稳定状态。
本公开实施例中，可以根据振动传感器的输出信号，判断终端设备当前是否处于稳定状态。例如，根据振动传感器的输出信号，可以确定输出电压、输出电流等电量，当输出电压、输出电流超过预设阈值时，可以确定终端设备当前未处于稳定状态，而当输出电压、输出电流未超过预设阈值时，可以确定终端设备当前处于稳定状态。
其中，预设阈值可以为预设在终端设备的内置程序中，或者可以由用户进行设置，对此不作限制。
为了实现上述实施例，本公开还提出一种基于人脸识别的差异化应用加载装置。
图5为本公开实施例五所提供的基于人脸识别的差异化应用加载装置的结构示意图。
如图5所示，该基于人脸识别的差异化应用加载装置100包括：图像采集模块110、图像识别模块120、应用确定模块130，以及应用加载模块140。其中，
图像采集模块110，用于在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过所述前置摄像头进行图像采集。
图像识别模块120，用于对采集到的图像进行人脸识别以得到所述图像中用户的类型。
应用确定模块130，用于根据所述用户的类型，确定出对应的应用程序列表，其中，所述应用程序列表包含至少一个待加载应用程序。
应用加载模块140，用于控制所述终端设备将所述至少一个待加载应用程序加载至所述终端设备的桌面。
进一步地，在本公开实施例的一种可能的实现方式中，参见图6，在图5所示实施例的基础上，该基于人脸识别的差异化应用加载装置100还可以包括：检测模块150、控制模块160、权限确定模块170和管理控制模块180。
检测模块150，用于在监测到用户触发终端设备的亮屏解锁之后，触发稳定性检测组件检测终端设备当前是否处于稳定状态。
控制模块160，用于在检测到终端设备当前未处于稳定状态时，控制终端设备禁止加载应用程序到桌面。
其中，图像采集模块110，还用于在检测到终端设备当前处于稳定状态时，启动前置摄像头，并通过前置摄像头进行图像采集。
作为一种可能的实现方式，检测模块150，具体用于：触发陀螺仪记录陀螺仪的各轴分量值；根据在预设时间段内记录的陀螺仪的各轴分量值，判断陀螺仪的抖动幅度是否平稳；在判定陀螺仪的抖动幅度未平稳时，返回执行触发陀螺仪记录陀螺仪的各轴分量值的步骤；在判定陀螺仪的抖动幅度平稳时，确定终端设备当前处于稳定状态。
可选地，检测模块150，还用于：若在预设时间段内记录的陀螺仪的各轴分量值均小于或者等于预设偏量值，确定陀螺仪的抖动幅度平稳；若在预设时间段内记录的陀螺仪的各轴分量值中存在一个分量值大于预设偏移量，确定陀螺仪的抖动幅度未平稳。
作为另一种可能的实现方式，稳定性检测组件为振动传感器；其中，检测模块150，具体用于：接收振动传感器的输出信号；根据振动传感器的输出信号判断终端设备当前是否处于稳定状态。
可选地，检测模块150，还用于：根据振动传感器的输出信号，确定输出电压或输出电流；若输出电压或输出电流未超过预设阈值，则确定终端设备当前处于稳定状态；若输出电压或输出电流超过预设阈值，则确定终端设备当前未处于稳定状态。
作为一种可能的实现方式，图像识别模块120，具体用于：对采集到的图像进行人脸识别，得到图像中用户的人脸特征；将图像中用户的人脸特征与预先建立的至少一个样本的人脸特征进行匹配；当图像中用户的人脸特征与至少一个样本中的一个样本的人脸特征匹配成功时，确定匹配到的样本的类型，并将匹配到的样本的类型作为图像中用户的权限类型。
作为一种可能的实现方式，控制模块160，还用于在图像中用户的人脸特征与至少一个样本中的任意样本的人脸特征均匹配失败时，控制终端设备禁止加载应用程序到桌面。
权限确定模块170，用于根据用户的类型，确定用户的权限。
管理控制模块180，用于根据用户的权限和用户的控制指令，对终端设备进行相应的管理控制。
需要说明的是，前述对基于人脸识别的差异化应用加载方法实施例的解释说明也适用于该实施例的基于人脸识别的差异化应用加载装置100，此处不再赘述。
本公开实施例的基于人脸识别的差异化应用加载装置，通过在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过前置摄像头进行图像采集，而后对采集到的图像进行人脸识别以得到图像中用户的类型，接着根据用户的类型，确定出对应的应用程序列表，其中，应用程序列表包含至少一个待加载应用程序，最后控制终端设备将至少一个待加载应用程序加载至终端设备的桌面。由此，可以针对不同用户，加载不同的应用程序至终端设备的桌面，即针对不同用户设置不同的应用程序访问权限，从而满足不同用户的个性化应用程序访问需求。此外，当用户触发亮屏解锁时，利用人脸识别技术，使不同的 用户访问不同的应用程序，有效地保护了用户的隐私安全。
为了实现上述实施例，本公开还提出一种终端设备，包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，处理器执行程序时，实现如本公开前述实施例提出的基于人脸识别的差异化应用加载方法。
为了实现上述实施例，本公开还提出一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现如本公开前述实施例提出的基于人脸识别的差异化应用加载方法。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本公开的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本公开的描述中，“多个”的含义是至少两个，例如两个，三个等，除非另有明确具体的限定。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现定制逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本公开的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本公开的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，"计算机可读介质"可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及 便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本公开的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。如，如果用硬件来实现和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本公开各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器，磁盘或光盘等。尽管上面已经示出和描述了本公开的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本公开的限制，本领域的普通技术人员在本公开的范围内可以对上述实施例进行变化、修改、替换和变型。
Claims (20)
- 一种基于人脸识别的差异化应用加载方法，其特征在于，包括以下步骤：在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过所述前置摄像头进行图像采集；对采集到的图像进行人脸识别以得到所述图像中用户的类型；根据所述用户的类型，确定出对应的应用程序列表，其中，所述应用程序列表包含至少一个待加载应用程序；以及控制所述终端设备将所述至少一个待加载应用程序加载至所述终端设备的桌面。
- 根据权利要求1所述的方法，其特征在于，在监测到用户触发所述终端设备的亮屏解锁之后，所述方法还包括：触发稳定性检测组件检测所述终端设备当前是否处于稳定状态；若检测到所述终端设备当前未处于稳定状态，则控制所述终端设备禁止加载应用程序到所述桌面，直至检测到所述终端设备当前处于稳定状态时，执行所述启动前置摄像头，并通过所述前置摄像头进行图像采集的步骤。
- 根据权利要求2所述的方法，其特征在于，所述稳定性检测组件为陀螺仪；其中，所述触发稳定性检测组件检测所述终端设备当前是否处于稳定状态，包括：触发陀螺仪记录所述陀螺仪的各轴分量值；根据在预设时间段内记录的所述陀螺仪的各轴分量值，判断所述陀螺仪的抖动幅度是否平稳；在判定所述陀螺仪的抖动幅度未平稳时，返回执行所述触发陀螺仪记录所述陀螺仪的各轴分量值的步骤；在判定所述陀螺仪的抖动幅度平稳时，确定所述终端设备当前处于稳定状态。
- 据权利要求3所述的方法，其特征在于，所述根据在预设时间段内记录的所述陀螺仪的各轴分量值，判断所述陀螺仪的抖动幅度是否平稳，包括：若在预设时间段内记录的陀螺仪的各轴分量值均小于或者等于预设偏量值，确定所述陀螺仪的抖动幅度平稳；若在预设时间段内记录的陀螺仪的各轴分量值中存在一个分量值大于预设偏移量，确定所述陀螺仪的抖动幅度未平稳。
- 根据权利要求2所述的方法，其特征在于，所述稳定性检测组件为振动传感器；其中，所述触发稳定性检测组件检测所述终端设备当前是否处于稳定状态，包括：接收振动传感器的输出信号；根据所述振动传感器的输出信号判断所述终端设备当前是否处于稳定状态。
- 根据权利要求5所述的方法，其特征在于，所述根据所述振动传感器的输出信号判断所述终端设备当前是否处于稳定状态，包括：根据所述振动传感器的输出信号，确定输出电压或输出电流；若所述输出电压或所述输出电流未超过预设阈值，则确定所述终端设备当前处于稳定状态；若所述输出电压或所述输出电流超过预设阈值，则确定所述终端设备当前未处于稳定状态。
- 根据权利要求1-6中任一项所述的方法，其特征在于，所述对采集到的图像进行人脸识别以得到所述图像中用户的类型，包括：对所述采集到的图像进行人脸识别，得到所述图像中用户的人脸特征；将所述图像中用户的人脸特征与预先建立的至少一个样本的人脸特征进行匹配；当所述图像中用户的人脸特征与所述至少一个样本中的一个样本的人脸特征匹配成功时，确定匹配到的样本的类型，并将所述匹配到的样本的类型作为所述图像中用户的类型。
- 根据权利要求7所述的方法，其特征在于，还包括：当所述图像中用户的人脸特征与所述至少一个样本中的任意样本的人脸特征均匹配失败时，控制所述终端设备禁止加载应用程序到所述桌面。
- 根据权利要求1-8中任一项所述的方法，其特征在于，所述对采集到的图像进行人脸识别以得到所述图像中用户的类型之后，所述方法还包括：根据所述用户的类型，确定所述用户的权限；根据所述用户的权限和所述用户的控制指令，对所述终端设备进行相应的管理控制。
- 一种基于人脸识别的差异化应用加载装置，其特征在于，包括：图像采集模块，用于在监测到用户触发终端设备的亮屏解锁时，启动前置摄像头，并通过所述前置摄像头进行图像采集；图像识别模块，用于对采集到的图像进行人脸识别以得到所述图像中用户的类型；应用确定模块，用于根据所述用户的类型，确定出对应的应用程序列表，其中，所述应用程序列表包含至少一个待加载应用程序；以及应用加载模块，用于控制所述终端设备将所述至少一个待加载应用程序加载至所述终端设备的桌面。
- 根据权利要求10所述的装置，其特征在于，还包括：检测模块，用于在监测到用户触发所述终端设备的亮屏解锁之后，触发稳定性检测组件检测所述终端设备当前是否处于稳定状态；控制模块，用于在检测到所述终端设备当前未处于稳定状态时，控制所述终端设备禁止加载应用程序到所述桌面；其中，所述图像采集模块，还用于在检测到所述终端设备当前处于稳定状态时，启动前置摄像头，并通过所述前置摄像头进行图像采集。
- 根据权利要求11所述的装置，其特征在于，所述稳定性检测组件为陀螺仪；其中，所述检测模块具体用于：触发陀螺仪记录所述陀螺仪的各轴分量值；根据在预设时间段内记录的所述陀螺仪的各轴分量值，判断所述陀螺仪的抖动幅度是否平稳；在判定所述陀螺仪的抖动幅度未平稳时，返回执行所述触发陀螺仪记录所述陀螺仪的各轴分量值的步骤；在判定所述陀螺仪的抖动幅度平稳时，确定所述终端设备当前处于稳定状态。
- 据权利要求12所述的装置，其特征在于，所述检测模块还用于：若在预设时间段内记录的陀螺仪的各轴分量值均小于或者等于预设偏量值，确定所述陀螺仪的抖动幅度平稳；若在预设时间段内记录的陀螺仪的各轴分量值中存在一个分量值大于预设偏移量，确定所述陀螺仪的抖动幅度未平稳。
- 根据权利要求11所述的装置，其特征在于，所述稳定性检测组件为振动传感器；其中，所述检测模块具体用于：接收振动传感器的输出信号；根据所述振动传感器的输出信号判断所述终端设备当前是否处于稳定状态。
- 根据权利要求14所述的装置，其特征在于，所述检测模块还用于：根据所述振动传感器的输出信号，确定输出电压或输出电流；若所述输出电压或所述输出电流未超过预设阈值，则确定所述终端设备当前处于稳定状态；若所述输出电压或所述输出电流超过预设阈值，则确定所述终端设备当前未处于稳定状态。
- 根据权利要求10-15中任一项所述的装置，其特征在于，所述图像识别模块具体用于：对所述采集到的图像进行人脸识别，得到所述图像中用户的人脸特征；将所述图像中用户的人脸特征与预先建立的至少一个样本的人脸特征进行匹配；当所述图像中用户的人脸特征与所述至少一个样本中的一个样本的人脸特征匹配成功 时，确定匹配到的样本的类型，并将所述匹配到的样本的类型作为所述图像中用户的类型。
- 根据权利要求16所述的装置，其特征在于，所述控制模块还用于在所述图像中用户的人脸特征与所述至少一个样本中的任意样本的人脸特征均匹配失败时，控制所述终端设备禁止加载应用程序到所述桌面。
- 根据权利要求10-17中任一项所述的装置，其特征在于，所述装置还包括：权限确定模块，用于根据所述用户的类型，确定所述用户的权限；管理控制模块，用于根据所述用户的权限和所述用户的控制指令，对所述终端设备进行相应的管理控制。
- 一种终端设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其特征在于，所述处理器执行所述程序时，实现如权利要求1至9中任一项所述的基于人脸识别的差异化应用加载方法。
- 一种非临时性计算机可读存储介质，其上存储有计算机程序，其特征在于，所述程序被处理器执行时实现如权利要求1至9中任一项所述的基于人脸识别的差异化应用加载方法。
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