HK1241157B - User authentication method and device - Google Patents

Description

User identity verification method and device

Technical Field

The present application relates to the field of computer applications, and in particular to a method and device for user identity authentication.

Background Art

VR (Virtual Reality) technology utilizes computer graphics systems and various control interfaces to create interactive three-dimensional environments on computers, providing users with an immersive experience. With advancements in VR technology and hardware, the application scenarios of VR technology are becoming increasingly diverse, and the use of VR terminals is becoming increasingly popular.

However, as the application of VR terminals becomes more popular, more and more users begin to use VR terminals. One of the problems they face is how to ensure the privacy and security of users when using VR terminals.

Summary of the Invention

This application proposes a user identity authentication method, which is applied to a virtual reality terminal. The method includes:

In response to an execution instruction for a target task requiring identity authentication, collecting interactive behavior characteristics of a user wearing the virtual reality terminal through preset sensing hardware;

Matching the collected interactive behavior characteristics with interactive behavior characteristics preset by a legitimate user of the virtual reality terminal;

If the collected interactive behavior characteristics match the preset interactive behavior characteristics, the identity of the user wearing the virtual reality terminal is determined to be legal, and the target task is executed.

The present application also proposes a user identity authentication device, which is applied to a virtual reality terminal, and the device includes:

a collection module, in response to an execution instruction for a target task requiring identity authentication, collecting interactive behavior characteristics of a user wearing the virtual reality terminal through preset sensor hardware;

a matching module, matching the collected interactive behavior characteristics with the interactive behavior characteristics preset by the legitimate user of the virtual reality terminal;

The verification module determines that the identity of the user wearing the virtual reality terminal is legal if the collected interactive behavior characteristics match the preset interactive behavior characteristics, and executes the target task.

In the present application, when a user wearing a virtual reality terminal performs a target task that requires identity authentication, the virtual reality terminal can collect the interactive behavior characteristics of the user wearing the virtual reality terminal through preset sensor hardware, and match the collected interactive behavior characteristics with the preset interactive behavior characteristics of the legitimate user of the virtual reality terminal; if the collected interactive behavior characteristics match the preset interactive behavior characteristics, it is determined that the identity of the user wearing the virtual reality terminal is legitimate, and the target task is performed. This ensures that when the user wears the virtual reality terminal for an immersive experience, if he needs to perform a target task that requires identity authentication, he can actively verify the legitimacy of his own identity by performing the preset interactive behavior, thereby ensuring the privacy and security of the user when using the virtual reality terminal.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for user identity authentication according to an embodiment of the present application;

FIG2 is a logic block diagram of a user identity authentication device provided by an embodiment of the present application;

FIG3 is a hardware structure diagram of a virtual reality terminal carrying a user identity authentication device according to an embodiment of the present application.

DETAILED DESCRIPTION

This application aims to propose a technical solution that allows users wearing VR terminals to actively verify the legitimacy of their identities by performing preset interactive behaviors when performing target tasks that require identity authentication, thereby protecting the privacy and security of users when using virtual reality terminals.

When a user performs a target task that requires identity authentication, the VR terminal can collect the interactive behavior characteristics of the user wearing the VR terminal through preset sensor hardware, and match the collected interactive behavior characteristics with the preset interactive behavior characteristics of the legitimate user of the VR terminal; if the collected interactive behavior characteristics match the preset interactive behavior characteristics, the identity of the user wearing the VR terminal is determined to be legitimate, and the target task is performed. This enables the user to actively verify the legitimacy of his or her own identity by performing preset interactive behaviors when performing a target task that requires identity authentication while wearing the VR terminal for an immersive experience, thereby ensuring the privacy and security of the user when using the VR terminal.

The present application is described below through specific embodiments and in combination with specific application scenarios.

Please refer to FIG1 , which shows a service implementation method based on a virtual reality scenario provided by an embodiment of the present application. The method is applied to a VR terminal and performs the following steps:

Step 101: In response to an execution instruction for a target task requiring identity authentication, interactive behavior characteristics of a user wearing the virtual reality terminal are collected through preset sensor hardware;

Step 102: matching the collected interaction behavior characteristics with interaction behavior characteristics preset by a legitimate user of the virtual reality terminal;

Step 103: If the collected interactive behavior characteristics match the preset interactive behavior characteristics, the identity of the user wearing the virtual reality terminal is determined to be legal, and the target task is executed.

The above-mentioned VR terminal refers to a terminal device developed based on VR technology that can provide users with a three-dimensional immersive experience; for example, the above-mentioned VR can be a head-mounted helmet, glasses or other forms of VR terminal devices.

In actual applications, the above-mentioned VR terminal can output the VR scene model developed by the developer to the wearer based on the carried virtual reality operating system (VROS), so that the wearer can get a three-dimensional immersive experience in the output VR scene.

The above-mentioned target tasks generally refer to tasks that require user identity verification and can be completed in the VR scene presented to the user by the VR terminal when the user is wearing a VR terminal for an immersive experience;

For example, in actual applications, the above-mentioned target tasks may include unlocking tasks for the above-mentioned VR terminal; verification tasks for quick payment completed by users in VR scenarios; verification tasks for account login completed by users in VR scenarios; or other target tasks that can be completed in VR scenarios and require verification of user identity.

The above-mentioned sensing hardware may specifically include infrared sensors, image sensors, laser sensors, radar sensors, etc., which are not particularly limited in this example;

The aforementioned interactive behavior characteristics generally refer to the behavioral characteristics corresponding to all interactive behaviors performed by users in a VR scene when wearing a VR terminal for an immersive experience;

For example, in actual applications, the above-mentioned interactive behavior characteristics may include the user's head posture, three-dimensional gestures, or the displacement trajectory generated by the user controlling the movement of the visual focus in the VR scene through head posture, three-dimensional gestures or external devices (such as external joysticks, operating handles, etc.).

In this example, to protect user privacy and security when using a VR terminal, legitimate users of the VR terminal can interact with the terminal's operating system, pre-setting interactive behavior features in the VR terminal's operating system for verifying their identity. When using this VR terminal, users can proactively verify the legitimacy of their identity by performing these pre-set interactive behavior features in the VR scene.

Among them, in this case, the technical solution shown in the above steps 101 to 103 can be the identity authentication logic in the operating system of the above VR terminal. When the user triggers the execution of the above target task while wearing the VR terminal, the operating system of the VR terminal can respond to the execution instruction issued by the user after triggering the above target task. By executing the above identity authentication logic, the interactive behavior characteristics of the user wearing the VR terminal are collected based on the preset sensing hardware, and then the collected interactive behavior characteristics are matched with the interactive behavior characteristics preset by the legitimate user of the VR terminal, and the legitimacy of the wearer's identity is verified. Then, based on the result of the identity authentication, a decision can be made as to whether the above target task can be executed normally.

In one embodiment shown, if the collected interactive behavior characteristics match the preset interactive behavior characteristics, the operating system of the VR terminal (hereinafter referred to as the operating system) can determine that the identity of the user wearing the VR terminal is legal and execute the above-mentioned target task.

If the collected interactive behavior characteristics do not match the preset interactive behavior characteristics, the operating system may not respond to the above-mentioned execution instruction and count the number of identity authentications for the above-mentioned user; when the number of identity authentications for the user wearing the VR terminal reaches the preset number, further security authentication may be performed on the user and after the security authentication is passed and the identity of the user wearing the VR terminal is determined to be legal, the above-mentioned target task may be executed.

In this example, after determining that the identity of the user wearing the above-mentioned VR terminal is legitimate, the operating system will usually fully open the execution permission of the above-mentioned target task to the user; in this case, if the legitimate user of the VR terminal no longer wears the VR terminal, and other users who have not passed the identity authentication wear the VR terminal again, the VR terminal may face certain usage risks.

In one embodiment shown, a feature recognition model capable of characterizing the habitual interaction behavior characteristics of legitimate users of the VR terminal can be trained using a preset deep learning algorithm based on a number of interaction behavior feature samples collected in advance.

For example, when legitimate users wear VR for an immersive experience, they may develop accustomed head postures, three-dimensional gestures, and movement trajectories of the operation focus in the VR scene.

In this example, the operating system can be pre-installed with the trained feature recognition model. After the user wearing the VR terminal passes identity authentication, the operating system can continue to collect the interactive behavior characteristics of the user currently wearing the VR terminal through sensor hardware, and input the collected interactive behavior characteristics into the feature recognition model for feature recognition to determine whether the collected interactive behavior characteristics match the customary interactive behavior characteristics of the legitimate user of the virtual reality terminal.

If the model identifies that the collected interaction behavior characteristics do not match the habitual interaction behavior characteristics of the authorized user of the VR terminal, the detected interaction behavior characteristics are likely the result of an illegal user wearing the VR terminal after the authorized user unlocked the VR terminal and then left. In this case, the operating system can restart the security authentication process for the user wearing the VR terminal.

In this way, based on the habitual interactive behavior characteristics of legitimate users, after determining that the identity of the user wearing the VR terminal is legitimate, the VR terminal can continue to be protected in the background without the current wearer's knowledge, thereby improving the safety level of VR terminal use.

The following describes the technical solution in this application in detail by taking the above-mentioned target task as an unlocking task for a VR terminal as an example.

Of course, it should be noted that the above target task is to unlock a VR terminal for illustrative purposes only and is not intended to be limiting. In actual applications, the above target task can also be a task such as verifying quick payment in a VR scenario or verifying account login in a VR scenario, etc.

The following describes the technical solution of this application in detail through three stages: VR scene model creation, VR terminal unlocking, and security protection after the VR terminal is unlocked.

1) VR scene model creation

In this example, developers can use specific modeling tools to create VR scene models. The above modeling tools are not specifically limited in this example; for example, developers can use more mature modeling tools such as Unity, 3dsMax, Photoshop, etc. to create VR scene models.

Among them, when developers use modeling tools to create VR scene models, the VR scene model and the texture map of the VR scene can all be derived from real scenes in real life; for example, you can use video to collect material texture maps and plane models of real scenes in advance, and then use modeling tools such as Photoshop or 3dmax to process the texture and build a three-dimensional model of the real scene, and then import it into the unity3D platform (U3D for short), and render the picture in multiple dimensions such as sound effects, graphical interface, plug-ins, and lighting on the U3D platform, and then write interactive code to finally complete the modeling of the VR scene model.

In this example, in addition to creating a VR scene model, developers can also use the above modeling tools to create a 2D or 3D lock screen interface for the operating system of the above VR terminal.

Among them, the lock screen interface can serve as the initial interface when the user tries to operate the VR terminal's operating system after starting the VR terminal; or, it can serve as a front page before outputting the VR scene model created by the developer.

When the user completes the legitimacy of his or her identity by executing the preset interactive behavior features under the prompt of the lock screen interface, the operating system of the VR terminal can open access rights to the operating system and then output the VR scene model created by the developer so that the wearer can get an immersive experience in the output VR scene model.

It should be noted that the specific form of the above-mentioned lock screen interface is not particularly limited in this example; in actual application, it can be personalized based on user experience.

2) Unlocking the VR terminal

In this example, when the wearer starts the VR terminal, the VR terminal can output the above lock screen interface through the operating system.

In this example, the lock screen interface may pre-provide a number of virtual elements (e.g., virtual buttons) for triggering unlocking. The user can select the virtual element through some simple interactive operations to trigger the unlocking process for the VR terminal.

For example, in one implementation shown, a virtual button for triggering unlocking can be provided in the lock screen interface. The wearer can control the movement of the operation focus (also called visual focus) through head posture, three-dimensional gestures or external devices, position the operation focus on the above-mentioned virtual button, and then perform some simple interactive operations (such as a simple sliding of the operation focus on the virtual button) to trigger the unlocking process for the VR terminal.

Of course, in addition to providing a virtual button for triggering unlocking in the lock screen interface as shown above, in actual applications, a physical button for triggering unlocking can also be set on an external device of the VR terminal, such as an external joystick or operating handle of the VR terminal, so that when the VR terminal needs to be unlocked, the unlocking process for the VR terminal can be triggered by pressing the physical button.

In this example, when the unlocking process for VR is triggered, the VR terminal can report an unlocking instruction to the operating system. For example, the unlocking instruction can be an unlocking signal. After receiving the unlocking instruction, the operating system of the VR terminal can respond to the unlocking instruction and execute the authentication logic shown in steps 101 to 103 to start the unlocking process for the VR terminal.

In this example, after the VR terminal's operating system starts the unlocking process:

On the one hand, the wearer of the VR terminal can actively verify the legitimacy of his or her identity by executing preset interactive behavior characteristics.

On the other hand, the operating system of the VR terminal can collect the wearer's interactive behavior characteristics through preset sensing hardware, and match them with the interactive behavior characteristics for unlocking pre-set in the operating system by the legitimate user of the VR terminal to verify whether the identity of the current wearer of the VR terminal is legitimate.

In this example, the above-mentioned interactive behavior characteristics may include the user's head posture, three-dimensional gestures, or the displacement trajectory generated by the user controlling the movement of the visual focus in the VR scene through head posture, three-dimensional gestures or external devices.

That is, for legitimate users of VR terminals, in order to improve the security level of VR terminal use, they can interact with the VR terminal's operating system (such as interacting with the operating system's settings interface), pre-set a customized head posture, customized three-dimensional gesture, or a customized special displacement trajectory of the operation focus. When the wearer needs to obtain permission to use the VR terminal, he must perform the same head posture, three-dimensional gesture, or control the movement of the operation focus to produce the same unique trajectory to verify his identity.

In the illustrated embodiment, it is assumed that the above-mentioned interactive behavior feature is a user-defined head gesture (such as nodding, shaking head, or other user-defined head gestures) preset by the user.

In this case, when the wearer of the VR terminal triggers the unlocking process, the operating system of the VR terminal can call the gravity sensing hardware installed in the VR terminal to track the displacement of the user's head and return the collected head displacement data to the operating system.

After receiving the data sent back by the gravity sensor hardware, the operating system can calculate the received head displacement data through the AR engine in the operating system, calculate the offset and rotation of the user's head relative to the X/Y/Z axis of the VR scene and other parameters, and perform data modeling based on these parameters to restore the user's head posture; then match the restored head posture with the head posture pre-configured for unlocking by the legitimate user of the VR terminal; if the match is successful, it can be determined that the current wearer's user identity is legitimate. At this time, the operating system can unlock the VR terminal, open the operating system's access rights, and close the above-mentioned lock screen interface.

In another embodiment shown, it is assumed that the above-mentioned interactive behavior feature is a user-defined three-dimensional gesture (such as grasping, rotating in a specific direction, or other customized three-dimensional gestures)

In this case, when the wearer of the VR terminal triggers the unlocking process, the operating system of the VR terminal can call the sensor hardware installed in the VR terminal to track the displacement of the user's hand and return the collected hand displacement data to the operating system.

After receiving the data sent back by the sensing hardware, the operating system can calculate the received hand displacement data through the AR engine in the operating system, calculate parameters such as the offset and rotation of the user's hand relative to the X/Y/Z axis of the VR scene, and perform data modeling based on these parameters to restore the user's three-dimensional gesture; then match the restored three-dimensional gesture with the three-dimensional gesture for unlocking pre-configured by the legitimate user of the VR terminal; if the match is successful, it can be determined that the current wearer's user identity is legitimate. At this time, the operating system can unlock the VR terminal, open the operating system's access rights, and close the above-mentioned lock screen interface.

It should be noted that the sensor hardware called by the operating system when recognizing the user's three-dimensional gesture depends on the implementation scheme adopted when performing the three-dimensional gesture recognition.

For example, in conventional implementations of VR technology, when recognizing a user's three-dimensional gestures, it can usually be achieved through solutions such as TOF (Time of Flight), dual-camera binocular imaging, structured light, and micro radar. When recognizing a user's three-dimensional gestures based on a dual-camera binocular imaging solution, the above-mentioned sensing hardware can be an image sensor; when recognizing a user's three-dimensional gestures based on a TOF solution, the above-mentioned sensing hardware can be an infrared sensor. When recognizing a user's three-dimensional gestures based on a structured light solution, the above-mentioned sensing hardware can be a laser sensor. When recognizing a user's three-dimensional gestures based on a micro radar solution, the above-mentioned sensing hardware can be a radar sensor, and so on.

In another embodiment shown, it is assumed that the above-mentioned interactive behavior feature is a moving trajectory of an operation focus preset by the user.

In this case, the wearer can control the movement of the operation focus on the lock screen interface through head posture, three-dimensional gestures, or by operating an external device such as a joystick or operating handle, generating a movement trajectory.

When the wearer of the VR terminal triggers the unlocking process, the operating system of the VR terminal can call the gravity sensing hardware installed in the VR terminal (such as the gravity sensing hardware in the VR helmet, worn on the user's hands, or installed in external devices) to track the displacement of the user's head, gestures, and external devices, and based on the displacement of the user's head, gestures, and external devices, synchronously control the displacement of the operation focus in the VR scene, and then calculate the movement trajectory of the operation focus in the VR scene.

In order to enable the user to intuitively view the generated movement trajectory, the operating system can highlight the calculated operation trajectory in the lock screen interface (for example, highlight it).

After the operating system calculates the movement trajectory of the operation focus in the VR scene, it can match the movement trajectory with the movement trajectory pre-configured for unlocking by the legitimate user of the VR terminal; if the match is successful, it can be determined that the current wearer's user identity is legitimate. At this time, the operating system can unlock the VR terminal, open the operating system's access rights, and close the above-mentioned lock screen interface.

It should be noted that, in this example, when the user matches the collected interactive behavior characteristics with the user behavior characteristics preset by the legitimate user, in order to avoid the problem that the legitimate user cannot unlock the VR terminal due to the user presetting particularly complex user behavior characteristics, in the matching process, it is not necessary to use precise matching (that is, complete matching of interactive behavior characteristics), but fuzzy matching can be used. That is, as long as the similarity between the collected user behavior characteristics and the user behavior characteristics preset by the legitimate user reaches a preset threshold, the two can be considered to match.

In this example, when the operating system finally determines through the unlocking verification process shown above that the interactive behavior characteristics performed by the wearer do not match the interactive behavior characteristics preset by the legitimate user for unlocking, the operating system may not make any response at this time, and at the same time, a counter may be started in the background to count the number of unlocking times of the wearer (that is, the number of identity authentication times for the user).

When the wearer has unlocked the phone a preset number of times but still fails to unlock it, the operating system can start a security authentication process for the wearer and perform further security authentication for the wearer.

In this example, when further security authentication is performed on the wearer, it can be accomplished specifically in the following manner.

In one embodiment shown, the biometric hardware carried by the VR terminal can be used to collect the wearer's biometric characteristics (such as fingerprints) to perform further security authentication on the user.

In this case, when the wearer's number of unlocking retries reaches a preset threshold, the operating system can output a prompt message on the lock screen interface to prompt the user to collect biometrics for security authentication; for example, when the above-mentioned biometric is a fingerprint, the prompt message can specifically be a text message "Please enter fingerprint information to complete unlocking authentication."

At this time, the operating system can collect the wearer's biometric features through the biometric hardware and match the collected biometric features with the biometric features reserved by the legitimate user of the VR terminal; if the collected biometric features match the biometric features reserved by the legitimate user of the VR terminal, it can be determined that the security authentication for the current wearer of the VR terminal has passed, and the VR terminal can be unlocked.

In one embodiment shown, further security authentication may also be performed through an identity verification password input by the user.

The identity authentication password may be a security authentication password preset by a legitimate user, or a password dynamically issued by the operating system to the legitimate user.

In this case, when the wearer's unlocking retries reach a preset threshold, the operating system can display an input box on the lock screen interface and output a prompt message prompting the user to enter the authentication password to complete the security authentication; for example, the prompt message can be a text message "Please enter the authentication password to complete the unlock authentication."

When the wearer enters the authentication password in the lock screen interface, the operating system matches the authentication password with the authentication password reserved by the legitimate user, or the authentication password issued by the operating system; if the two match, it can be determined that the security authentication for the current wearer of the VR terminal has passed, and the VR terminal is unlocked.

3) Security protection after unlocking the VR terminal

In this example, when the VR terminal is successfully unlocked, the access rights to the operating system will be fully opened. In this case, when the legitimate user of the VR terminal no longer wears the VR terminal, if the VR terminal remains unlocked, the VR terminal may still face certain usage risks.

In one embodiment shown, a feature recognition model that can characterize the habitual interactive behavior characteristics of the legitimate user can be trained through a preset deep learning algorithm based on several interactive behavior feature samples of the legitimate user of the VR terminal collected in advance; for example, the legitimate user's habitual head posture, three-dimensional gestures, movement trajectory of the operation focus, etc. in the VR scene when wearing VR for an immersive experience.

The aforementioned deep learning algorithms are not specifically limited in this example. In practical applications, more mature deep learning algorithms such as neural networks and regression algorithms can be used. The training of the aforementioned feature recognition model can be performed on a VR terminal (for example, a VR terminal can independently carry a deep learning algorithm), on a host computer paired with a VR terminal, or on a cloud server. This is also not specifically limited in this example.

The operating system of the VR terminal can be pre-installed with the trained feature recognition model. After the VR terminal is successfully unlocked, the operating system can continue to collect the interactive behavior characteristics of the user currently wearing the VR terminal through the sensor hardware, and input the collected interactive behavior characteristics into the feature recognition model for feature recognition to determine whether the collected interactive behavior characteristics match the customary interactive behavior characteristics of the legitimate user of the virtual reality terminal.

If, after model recognition, it is determined that the collected interaction behavior characteristics do not match the habitual interaction behavior characteristics of the legitimate user of the VR terminal, the interaction behavior characteristics detected at this time are likely to be the interaction behavior generated by another illegal user wearing the VR terminal after the legitimate user unlocked the VR terminal and left.

In this case, the operating system can re-lock the VR terminal and restart the process of further security authentication for the user wearing the VR terminal. The specific security authentication process will not be repeated here.

It can be seen that in this way, based on the habitual interactive behavior characteristics of legitimate users, after the VR terminal is successfully unlocked, the VR terminal can continue to be protected in the background without the current wearer's knowledge, thereby improving the safety level of the VR terminal.

Of course, in actual applications, in addition to the above-mentioned method of training a deep learning model that can characterize the habitual interactive behavior characteristics of legitimate users to perform security protection on the VR terminal after successful unlocking, other means can also be used to continue to perform security protection on the VR terminal after successful unlocking.

For example, in actual applications, a traditional unlocking timeout mechanism can be introduced. That is, after the VR terminal is successfully unlocked, if the operating system of the VR terminal does not detect any form of interactive operation within a preset time, it can automatically lock the terminal. These mechanisms will not be listed one by one in this example.

The above describes the technical solution in this application in detail by taking the above-mentioned target task as the unlocking task for the VR terminal as an example.

It should be noted that, in this example, the identity authentication logic shown in steps 101 to 103 can also be applied to other application scenarios besides unlocking a VR terminal.

For example, when applied to a quick payment scenario in a VR scenario, the above-mentioned target task may be a verification task based on the quick payment in the VR scenario; in this case, the operating system may verify the user's payment identity when the user makes a quick payment in the VR scenario by executing the identity authentication logic shown in steps 101 to 103 above, and complete the payment after the identity authentication is passed.

After the user's identity authentication is passed, the operating system can also continue to identify whether the interaction behavior characteristics of the user wearing the VR terminal are the habitual interaction behavior characteristics of a legitimate user through the trained interaction behavior feature recognition model. When it is identified that the interaction behavior characteristics of the user currently wearing the VR terminal are not the habitual interaction behavior characteristics of a legitimate user, further security authentication is performed on the identity of the user currently wearing the VR terminal, and the user's payment identity is re-authenticated. The specific implementation process will not be described in detail. Those skilled in the art can also refer to the implementation process in the unlocking scenario shown above for equivalent implementation.

For another example, when applied to an account login scenario in a VR scenario, the target task may be a verification task based on the account login in the VR scenario. In this case, the operating system may verify the user's login identity when the user logs in to the account in the VR scenario by executing the identity authentication logic shown in steps 101 to 103 above, and interact with the corresponding login server to complete the login after the identity authentication is passed.

After the user's identity authentication is passed, the operating system can also continue to identify whether the interaction behavior characteristics of the user wearing the VR terminal are the habitual interaction behavior characteristics of a legitimate user through the trained interaction behavior feature recognition model. When it is identified that the interaction behavior characteristics of the user currently wearing the VR terminal are not the habitual interaction behavior characteristics of a legitimate user, further security authentication is performed on the identity of the user currently wearing the VR terminal, and the user's login identity is re-verified. The specific implementation process will not be described in detail. Those skilled in the art can also refer to the implementation process in the unlocking scenario shown above for equivalent implementation. Of course, in addition to the two application scenarios shown above, the identity authentication logic shown in steps 101-103 above can obviously also be applied to other similar application scenarios that require user identity authentication, which will not be listed one by one in this example.

It can be seen from the description of the above embodiments that in the present application, when a user wearing a virtual reality terminal performs a target task that requires identity authentication, the virtual reality terminal can collect the interactive behavior characteristics of the user wearing the virtual reality terminal through preset sensing hardware, and match the collected interactive behavior characteristics with the preset interactive behavior characteristics of the legitimate user of the virtual reality terminal; if the collected interactive behavior characteristics match the preset interactive behavior characteristics, it is determined that the identity of the user wearing the virtual reality terminal is legitimate, and the target task is performed. This ensures that when the user wears the virtual reality terminal for an immersive experience, if he needs to perform a target task that requires identity authentication, he can actively verify the legitimacy of his own identity by performing the preset interactive behavior, thereby ensuring the privacy and security of the user when using the virtual reality terminal.

Corresponding to the above method embodiments, the present application also provides device embodiments.

Referring to FIG2 , this application proposes a user identity authentication device 20 for use in a VR terminal. Referring to FIG3 , the hardware architecture of the VR terminal carrying the user identity authentication device 20 typically includes a CPU, memory, non-volatile memory, a network interface, and an internal bus. Taking software implementation as an example, the user identity authentication device 20 can generally be understood as a computer program loaded into memory, which is executed by the CPU to form a logical device combining software and hardware. The device 20 includes:

The collection module 201 collects interactive behavior characteristics of a user wearing the virtual reality terminal through preset sensor hardware in response to an execution instruction for a target task requiring identity authentication;

Matching module 202, matching the collected interactive behavior characteristics with interactive behavior characteristics preset by a legitimate user of the virtual reality terminal;

Verification module 203, if the collected interactive behavior characteristics match the preset interactive behavior characteristics, determines that the identity of the user wearing the virtual reality terminal is legal, and executes the target task.

In this example, the interactive behavior features include any one of the user's head posture, three-dimensional gestures, and displacement trajectories generated by controlling the movement of visual focus through the head posture, three-dimensional gestures, or external devices.

In this example, the device 20 may further include:

Authentication module 204 (not shown in FIG2 ), if the collected interaction behavior characteristics do not match the preset interaction behavior characteristics, then when the number of identity verifications for the user wearing the virtual reality terminal reaches a preset number, performing further security authentication on the user;

The verification module 203 further:

When the security authentication is passed, the identity of the user wearing the virtual reality terminal is determined to be legal, and the target task is executed.

In this example, the device 20 may further include:

Identification module 205 (not shown in FIG. 2 ),

After determining that the identity of the user wearing the virtual reality terminal is legitimate, interactive behavior features of the user wearing the virtual reality terminal are collected through preset sensor hardware; the collected interactive behavior features are input into a preset interactive behavior feature recognition model for feature recognition to determine whether the collected interactive behavior features match the habitual interactive behavior features of the legitimate user of the virtual reality terminal; wherein the preset interactive behavior feature recognition model is obtained by training a plurality of interactive behavior feature samples of the legitimate users of the virtual reality terminal based on a preset deep learning algorithm; the preset interactive behavior feature recognition model characterizes the habitual interactive behavior features of the legitimate users of the virtual reality terminal;

The authentication module 204 further:

If the collected interactive behavior characteristics do not match the customary interactive behavior characteristics of the legitimate user of the virtual reality terminal, further security authentication is performed on the user wearing the virtual reality terminal.

In this example, the authentication module 204 specifically:

collecting the user's biometric features through preset biometric identification hardware, matching the collected biometric features with the preset biometric features of the legitimate user of the virtual reality terminal, and determining that the security authentication for the user is passed if the collected biometric features match the preset biometric features of the legitimate user of the virtual reality terminal; or

The authentication password input by the user is obtained, and the obtained authentication password is matched with a preset authentication password. If the obtained authentication password matches the preset authentication password of a legitimate user of the virtual reality terminal, it is determined that the security authentication for the user is passed.

In this example, the target task may include an unlocking task for the virtual reality terminal.

Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims (8)

1. A method for user authentication, characterized in that it is applied to a virtual reality terminal, the method comprising: In response to an execution command for a target task requiring authentication, the interactive behavior characteristics of the user wearing the virtual reality terminal are collected through preset sensing hardware. The collected interactive behavior features are matched with the preset interactive behavior features of legitimate users of the virtual reality terminal; If the collected interactive behavior features match the preset interactive behavior features, the user wearing the virtual reality terminal is determined to be legitimate, and the target task is executed. The target task is a task that requires user identity verification to be completed in the virtual reality scene presented to the user by the virtual reality terminal; the interactive behavior features are behavioral features corresponding to the interactive behaviors performed by the user in the virtual reality scene; the interactive behavior features include any one of the user's head posture, three-dimensional gestures, and displacement trajectories generated by controlling the movement of visual focus through head posture, three-dimensional gestures, or external devices. Also includes: Once the identity of the user wearing the virtual reality terminal is confirmed to be legitimate, the interactive behavior characteristics of the user wearing the virtual reality terminal are collected through preset sensing hardware. The collected interactive behavior features are input into a preset interactive behavior feature recognition model for feature recognition to determine whether the collected interactive behavior features match the habitual interactive behavior features of the legitimate users of the virtual reality terminal; wherein, the preset interactive behavior feature recognition model is obtained by training a number of interactive behavior feature samples of the legitimate users of the virtual reality terminal based on a preset deep learning algorithm; the preset interactive behavior feature recognition model represents the habitual interactive behavior features of the legitimate users of the virtual reality terminal. If the collected interaction behavior characteristics do not match the habitual interaction behavior characteristics of the legitimate users of the virtual reality terminal, further security authentication will be performed on the user wearing the virtual reality terminal. 2. The method according to claim 1, characterized in that it further comprises: If the collected interaction behavior features do not match the preset interaction behavior features, then when the number of identity verification attempts for the user wearing the virtual reality terminal reaches the preset number, further security authentication will be performed on the user. Once the security authentication is successful, the user wearing the virtual reality terminal is confirmed to be legitimate, and the target task is executed. 3. The method according to claim 1 or 2, wherein performing further security authentication on the user includes: The user's biometric features are collected through preset biometric hardware. These features are then matched against preset biometric features of authorized users of the virtual reality terminal. If the collected biometric features match, the user's security authentication is deemed successful; or... The system obtains the authentication password input by the user and matches it with a preset authentication password. If the obtained authentication password matches the preset authentication password of the legitimate user of the virtual reality terminal, the system determines that the security authentication for the user is successful. 4. The method according to claim 1, wherein the target task includes an unlocking task for the virtual reality terminal. 5. A user authentication device, characterized in that it is applied to a virtual reality terminal, the device comprising: The data acquisition module, in response to an execution command for a target task requiring identity verification, acquires the interactive behavior characteristics of the user wearing the virtual reality terminal through preset sensing hardware. The matching module matches the collected interactive behavior features with the preset interactive behavior features of legitimate users of the virtual reality terminal; The verification module determines that the user wearing the virtual reality terminal is legitimate if the collected interaction behavior features match the preset interaction behavior features, and then executes the target task. The target task is a task that requires user identity verification to be completed in the virtual reality scene presented to the user by the virtual reality terminal; the interactive behavior features are behavioral features corresponding to the interactive behaviors performed by the user in the virtual reality scene; the interactive behavior features include any one of the user's head posture, three-dimensional gestures, and displacement trajectories generated by controlling the movement of visual focus through head posture, three-dimensional gestures, or external devices. Also includes: The identification module, after confirming the legitimacy of the user wearing the virtual reality terminal, collects the user's interactive behavior characteristics through preset sensing hardware; the collected interactive behavior characteristics are input into a preset interactive behavior characteristic recognition model for feature recognition to determine whether the collected interactive behavior characteristics match the habitual interactive behavior characteristics of the legitimate user of the virtual reality terminal; wherein, the preset interactive behavior characteristic recognition model is trained based on a preset deep learning algorithm on several interactive behavior characteristic samples of the legitimate user of the virtual reality terminal; the preset interactive behavior characteristic recognition model represents the habitual interactive behavior characteristics of the legitimate user of the virtual reality terminal. Further improvements to the authentication module: If the collected interaction behavior characteristics do not match the habitual interaction behavior characteristics of the legitimate users of the virtual reality terminal, further security authentication will be performed on the user wearing the virtual reality terminal. 6. The apparatus according to claim 5, characterized in that it further comprises: If the collected interaction behavior features do not match the preset interaction behavior features, the authentication module will perform further security authentication on the user when the number of identity verification attempts for the user wearing the virtual reality terminal reaches the preset number. The verification module further includes: Once the security authentication is successful, the user wearing the virtual reality terminal is confirmed to be legitimate, and the target task is executed. 7. The apparatus according to claim 5 or 6, wherein the authentication module specifically includes: The user's biometric features are collected through preset biometric hardware. These features are then matched against preset biometric features of authorized users of the virtual reality terminal. If the collected biometric features match, the user's security authentication is deemed successful; or... The system obtains the authentication password input by the user and matches it with a preset authentication password. If the obtained authentication password matches the preset authentication password of the legitimate user of the virtual reality terminal, the system determines that the security authentication for the user is successful. 8. The apparatus according to claim 5, wherein the target task includes an unlocking task for the virtual reality terminal.