CN117609972B - VR system user identity recognition method, system and equipment - Google Patents
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Abstract
The invention belongs to the technical field of identity recognition, and particularly relates to a method, a system and equipment for user identity recognition of a VR (virtual reality) system, aiming at solving the problem that single identity recognition cannot automatically correct errors. The invention comprises the following steps: identifying the identity of the user according to the identity identification technology of the system; screening the identity recognition result according to the passing state and preliminarily adding the identification; calculating an identification judgment parameter based on the identification parameter, and completing identification of an identification result according to the identification parameter and the identification judgment parameter; setting a corresponding secondary identity verification time interval and secondary identity verification time based on a time interval judgment interval in which the identification judgment parameters are positioned according to different identifications of the identity identification results; and carrying out secondary identity verification or obtaining a user identity recognition result according to the system running time and the running state. The invention provides a timely correction function for identity recognition, and improves single identity recognition precision and timeliness of system identity recognition.
Description
Technical Field
The invention belongs to the technical field of identity recognition, and particularly relates to a method, a system and equipment for user identity recognition of a VR system.
Background
User identification is a measure of protection for personal privacy and data security in network information security. All the existing identity recognition technologies have respective advantages and disadvantages, and meanwhile, based on a single threshold value and a single recognition judging mode, the system cannot automatically correct recognition errors when the system judges the identities near the threshold value. On the other hand, with the increasing perfection of various identity recognition technologies and VR (Virtual Reality) application systems on multi-mode interaction, feasibility of improving effect is provided for VR system user identity recognition, and conventional user identity recognition is not specially designed, so that safety of VR system user identity recognition is insufficient.
Disclosure of Invention
In order to solve the above problems in the prior art, namely, the problem that the single identity recognition cannot automatically correct errors and the robustness of the identity recognition is poor, the invention provides a method for identifying the identity of a user in a VR system, which comprises the following steps:
step S100, acquiring an identity recognition technology of a VR system, carrying out member identity recognition on a VR system user according to the identity recognition technology, acquiring a member recognition result, and recording the time of member identity recognition as a first recognition time; the member identification result comprises a member identity and a non-member identity; the identity recognition technology comprises single-mode recognition and multi-mode recognition;
step S200, if the member identification result is a non-member identity, ending the user identity identification; if the member identification result is member identity and the identity identification technology is multi-mode identification, acquiring passing states of different mode identification, and if all passing states are passing, setting the identification of the member identification result as non-doubtful, and jumping to step S400; otherwise, jumping to step S300 after obtaining the identification parameters; the pass state includes pass and fail; the identification parameters comprise optimal matching parameters of the identification parameters and suboptimal matching parameters of the identification parameters;
step S300, calculating an identification judgment parameter based on the optimal matching parameter of the identification parameter and the suboptimal matching parameter of the identification parameter; acquiring the identification of the member identification result according to the identification parameters, the identification judging parameters and the optimal matching criteria of the identification technology; the optimal matching criterion comprises taking the minimum identification parameter as an optimal matching parameter and taking the maximum identification parameter as an optimal matching parameter;
step S400, if the identification of the identity recognition result is in doubt, acquiring a secondary identity verification time based on the recognition judgment parameter and the first recognition time; if the identification of the identity recognition result is non-doubt, acquiring secondary identity verification time based on the first recognition time;
step S500, when the running time of the VR system reaches the secondary authentication time or the running state is running again, user identification is conducted again, otherwise, user identification is finished.
In some preferred embodiments, the identification techniques include one or more of speech recognition, iris recognition, etc. recognition techniques;
in some preferred embodiments, before calculating the identification determination parameter, the method further includes a step of determining whether the process of identifying the identity technology as multi-mode identification is interfered:
if the identity recognition technology is multi-mode recognition, the member recognition result is a member identity, at least one passing state is non-passing, whether the recognition process with the passing state being non-passing is interfered or not is judged, and if at least one recognition process with the passing state being non-passing is not interfered, the member identity is changed into a non-member identity, and the user identity recognition is ended.
In some preferred embodiments, the step S300 specifically includes:
a1, if the member identification result is a member identity and the identity identification technology is multi-mode identification, if at least one passing state in passing states of different mode identification is not passing, only acquiring the identification parameter of the passing state passing identity identification technology as a first parameter when acquiring the identification parameter; if the member identification result is a member identity and the identity identification technology is single-mode identification, taking the corresponding identification parameter as a first parameter; the identification parameters represent the matching parameters of a feature vector matching algorithm corresponding to the identity identification technology;
step A2, obtaining the optimal matching parameters of the first parametersSub-optimal matching parameters to said identification parameters +.>Calculating identification judgment parameter->：
Wherein,is an anti-disturbance value;
step A3, obtaining a feature vector matching algorithm corresponding to the identity recognition technology, if the optimal matching criterion corresponding to the feature vector matching algorithm is that the minimum recognition parameter is the optimal matching parameter, executing step A4, and if the optimal matching criterion corresponding to the feature vector matching algorithm is that the maximum recognition parameter is the optimal matching parameter, executing step A5;
step A4, ifOr->Changing the member identification result into a non-member identity, ending the user identification, wherein ∈>Is a first relative threshold, ++>Is a third relative threshold, the third relative threshold being greater than 0;
if it isAnd->Setting the identity recognition result as a suspicious identity, wherein +.>As a second relative threshold, step S400 is skipped;
if it isAnd->Setting the identification of the identity recognition result as non-doubtful, and jumping to the step S400;
step A5, ifOr->Changing the member identification result into a non-member identity, and ending the user identity identification;
if it isAnd->Setting the identification of the identification result as suspicious, and jumping to the step S400;
if it isAnd->And setting the identification of the identification result as non-doubtful, and jumping to the step S400.
In some preferred embodiments, if the identity of the identity recognition result is in doubt, based on the recognition determination parameter and the first recognition time, a secondary authentication time is obtained, which is as follows:
step B1, if the identification judgment parameters areThe method meets the following conditions:
setting a secondary identity verification time intervalFor a preset long time interval->；
If the identification judgment parameters areThe method meets the following conditions:
setting a secondary identity verification time intervalFor a preset short time interval->；
Step B2, setting secondary identity verification time：
Wherein the method comprises the steps ofIs the first identification time.
In some preferred embodiments, before setting the secondary authentication time, the method further comprises the step of further selecting a secondary authentication time interval for the authentication technique to be multi-mode recognition:
if the identification technology is multi-mode identification, the secondary identification time intervals are multiple and all long time intervals, setting the final secondary identification time interval as a long time interval, otherwise, setting the final secondary identification time interval as a short time interval.
In some preferred embodiments, the preset short time intervalAnd a preset long time interval->The method comprises the following steps:
wherein,minimum secondary authentication time interval supported for VR system,/->Maximum secondary authentication time interval supported for VR systems.
In some preferred embodiments, if the identification of the identification result is not doubt, based on the first identification time, a second identification time is obtained, which includes:
setting a secondary identity verification time intervalMaximum time interval supported for VR system +.>；
Setting secondary identity verification time：/>。
In some preferred embodiments, after user identification is finished, if the VR system has a teenager identification mode, according to the identity identification technology of the VR system, teenager identification is performed on the VR system user to obtain a teenager identification result, and based on the teenager identification result, the user identification result is further divided to obtain a user identification result for distinguishing teenagers;
the teenager identification results include teenagers and non-teenagers;
the subscriber identity recognition result for distinguishing teenagers includes a member teenager identity, a member non-teenager identity, a non-member teenager identity and a non-member non-teenager identity.
The second aspect of the invention provides a system for identifying the identity of a user in a VR system, which comprises a first identity identification module, an identity identification result judgment module, an identity identification result identification module, a secondary identity verification time calculation module and a secondary identity identification detection module;
the first identity recognition module is configured to acquire an identity recognition technology of the VR system, perform member identity recognition on a user of the VR system according to the identity recognition technology, acquire a member recognition result, and record time of member identity recognition as first recognition time; the member identification result comprises a member identity and a non-member identity; the identity recognition technology comprises single-mode recognition and multi-mode recognition;
the identity recognition result judging module is configured to end user identity recognition if the member recognition result is a non-member identity; if the member identification result is member identity and the identity identification technology is multi-mode identification, acquiring passing states of different mode identification, and if all the passing states are passing, setting the identification of the member identification result as non-doubtful, and jumping to a secondary identity verification time calculation module; otherwise, obtaining the identification parameters and then jumping to an identity identification result mark; the pass state includes pass and fail; the identification parameters comprise optimal matching parameters of the identification parameters and suboptimal matching parameters of the identification parameters;
the identity recognition result identification module is configured to calculate a recognition judgment parameter based on the optimal matching parameter of the recognition parameter and the suboptimal matching parameter of the recognition parameter; acquiring the identification of the member identification result according to the identification parameters, the identification judging parameters and the optimal matching criteria of the identification technology; the optimal matching criterion comprises taking the minimum identification parameter as an optimal matching parameter and taking the maximum identification parameter as an optimal matching parameter;
the secondary identity verification time calculation module is configured to acquire secondary identity verification time based on the identification judgment parameter and the first identification time if the identification of the identity identification result is in doubt; if the identification of the identity recognition result is non-doubt, acquiring secondary identity verification time based on the first recognition time;
and the secondary identity recognition detection module is configured to re-perform user identity recognition when the running time of the VR system reaches the secondary identity verification time or the running state is re-running, and if not, ending the user identity recognition.
In a third aspect of the present invention, a device for identifying a user in a VR system is provided, including:
at least one processor, and a memory communicatively coupled to at least one of the processors;
the memory stores instructions executable by the processor for execution by the processor to implement a VR system user identification method as described above.
The invention has the beneficial effects that:
(1) The identity recognition result is further judged according to the parameter value, the recognition judgment parameter and the interference factor in the system identity recognition process, so that the accuracy and the robustness of single identity recognition are improved;
(2) Setting secondary identity verification time according to different identity recognition results, and providing a timely correction function for system identity recognition;
(3) According to different identity recognition results and recognition judgment parameters of corresponding recognition modes, different secondary identity verification time intervals are set according to requirements, and timeliness of system identity recognition is improved.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:
fig. 1 is a flow chart of a method for VR system user identification in an embodiment;
FIG. 2 is a flow chart of a method of VR system user identification for single mode identification in an embodiment;
fig. 3 is a flow chart of a method of VR system user identification for multi-mode identification in an embodiment.
Detailed Description
The present application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to more clearly describe a VR system user identification method of the present invention, each step in the embodiment of the present invention is described in detail below with reference to a flowchart of a VR system user identification method in fig. 1.
The method for identifying the identity of the user of the VR system in the first embodiment of the present invention includes steps S100-S500, each of which is described in detail as follows:
step S100, acquiring an identity recognition technology of a VR system, carrying out member identity recognition on a VR system user according to the identity recognition technology, acquiring a member recognition result, and recording the time of member identity recognition as a first recognition time; the member identification result comprises a member identity and a non-member identity; the identity recognition technology comprises single-mode recognition and multi-mode recognition;
in this embodiment, the identification technology includes single mode identification, for example, voice identification is preferably used for member authentication, the corresponding method flowchart is shown in fig. 2, and the identification technology also includes multi-mode identification, for example, voice identification and iris identification are preferably used for member authentication, and the corresponding method flowchart is shown in fig. 3;
step S200, if the member identification result is a non-member identity, ending the user identity identification; if the member identification result is member identity and the identity identification technology is multi-mode identification, acquiring passing states of different mode identification, and if all passing states are passing, setting the identification of the member identification result as non-doubtful, and jumping to step S400; otherwise, jumping to step S300 after obtaining the identification parameters; the pass state includes pass and fail; the identification parameters comprise optimal matching parameters of the identification parameters and suboptimal matching parameters of the identification parameters;
in the present embodiment, use is made ofIdentifier as a result of said identification, < >>Is 0, if the identity recognition result is marked as suspicious +.>If the identification of the identification result is not in doubt, the identification result is +.>；
I.e.；
The identification parameters are the matching parameters of the feature vector matching algorithm corresponding to the identification technology, and are expressed asThe calculation method of the matching parameters of the feature vector matching algorithm comprises average quantizationError, adoption of Hamming distance separator, hidden Markov model, CNN and other methods;
for example, when the pass state is passing identity recognition technology is voice identity recognition, the recognition parameters represent the current user feature vector and the current user feature vector in the voice specific person isolated word vector quantization identity recognitionNAverage quantization error of feature vector of each recognition template, when the passing state is iris identification by the identification technology, the recognition parameters represent the current user feature vector and the current user feature vectorNThe hamming distance of the template feature vector is identified.
Step S300, calculating an identification judgment parameter based on the optimal matching parameter of the identification parameter and the suboptimal matching parameter of the identification parameter; acquiring the identification of the member identification result according to the identification parameters, the identification judging parameters and the optimal matching criteria of the identification technology; the optimal matching criterion comprises taking the minimum identification parameter as an optimal matching parameter and taking the maximum identification parameter as an optimal matching parameter;
in this embodiment, before calculating the identification determination parameter, it is first determined whether the process of the identification technique for multi-mode identification is interfered (for example, the voice identification detects that the environmental noise is too large, the iris identification detects that the user wears the pupil, etc.), or not:
if the identity recognition technology is multi-mode recognition, the member recognition result is a member identity, at least one passing state is not passing, whether the recognition process with the passing state being not passing is interfered is judged, if at least one recognition process with the passing state being not passing is not interfered, the member identity is changed into a non-member identity, and the user identity recognition is ended;
after judgment, calculating an identification judgment parameter, and acquiring the identification of the member identification result according to the identification parameter, the identification judgment parameter and the optimal matching criterion of the identification technology; the method comprises the following steps:
a1, if the member identification result is a member identity and the identity identification technology is multi-mode identification, if at least one passing state in passing states of different mode identification is not passing, only acquiring the identification parameter of the passing state passing identity identification technology as a first parameter when acquiring the identification parameter; if the member identification result is a member identity and the identity identification technology is single-mode identification, taking the corresponding identification parameter as a first parameter; the identification parameters represent the matching parameters of a feature vector matching algorithm corresponding to the identity identification technology;
step A2, obtaining the optimal matching parameters of the first parametersSub-optimal matching parameters to said identification parameters +.>Calculating identification judgment parameter->：
Wherein,for anti-disturbance value, for preventing the parameter +.>Zero results in zero divisor to hardly affect the suboptimal matching parameter +.>Parameter>The ratio of (2) is used as a reference, and a very small value constant is set, and the specific value can be set by itself according to an identification algorithm;
step A3, obtaining a feature vector matching algorithm corresponding to the identity recognition technology, if the optimal matching criterion corresponding to the feature vector matching algorithm is that the minimum recognition parameter is the optimal matching parameter, executing step A4, and if the optimal matching criterion corresponding to the feature vector matching algorithm is that the maximum recognition parameter is the optimal matching parameter, executing step A5;
in this embodiment, if a feature vector matching algorithm of a matching parameter is obtained by an average quantization error or by using a Hamming distance separator, the optimal matching criterion is to use the minimum recognition parameter as the optimal matching parameter, and if a feature vector matching algorithm of a matching parameter is obtained by using a hidden markov model or CNN, the optimal matching criterion is to use the maximum recognition parameter as the optimal matching parameter.
If the feature vector matching algorithm of the voice identity recognition technology calculates the matching parameters by calculating the average quantization error, the optimal matching criterion is to take the minimum recognition parameter as the optimal matching parameter;
wherein the optimal matching parametersRepresenting the first parameter->Minimum value of (2), suboptimal matching parameter +.>Representing the first parameter->Is the next smallest value in (a);
step A4, ifOr->Changing the member identification result into a non-member identity, ending the user identification, wherein ∈>Is a first relative threshold, ++>Is a third relative threshold, the third relative threshold being greater than 0;
if it isAnd->Setting the identity recognition result as a suspicious identity, wherein +.>As a second relative threshold, step S400 is skipped;
if it isAnd->Setting the identification of the identity recognition result as non-doubtful, and jumping to the step S400;
step A5, ifOr->Changing the member identification result into a non-member identity, and ending the user identity identification;
if it isAnd->Setting the identification of the identification result as suspicious, and jumping to the step S400;
if it isAnd->Setting the identification of the identity recognition result as non-doubtful, and jumping to the step S400;
step S400, if the identification of the identity recognition result is in doubt, acquiring a secondary identity verification time based on the recognition judgment parameter and the first recognition time; if the identification of the identity recognition result is non-doubt, acquiring secondary identity verification time based on the first recognition time;
in this embodiment, if the identification of the identification result is in doubt, based on the identification determination parameter and the first identification time, a secondary authentication time is obtained, which is specifically as follows:
step B1, if the identification judgment parameters areThe method meets the following conditions:
setting a secondary identity verification time intervalFor a preset long time interval->；
If the identification judgment parameters areThe method meets the following conditions:
setting a secondary identity verification time intervalFor a preset short time interval->；
Step B2, setting secondary identity verification time：
Wherein the method comprises the steps ofIs the first identification time.
The preset short time intervalAnd a preset long time interval->The method comprises the following steps:
wherein,minimum secondary authentication time interval supported for VR system,/->Maximum secondary authentication time interval supported for VR systems.
If the identification of the identity recognition result is not doubtful, acquiring secondary identity verification time based on the first recognition time, wherein the method comprises the following steps:
setting a secondary identity verification time intervalMaximum time interval supported for VR system +.>；
Setting secondary identity verification time：/>。
In addition, before setting the secondary identity verification time, the method further comprises the step of further selecting a secondary identity verification time interval for multi-mode identification of the identity identification technology:
if the identification technology is multi-mode identification, the secondary identification time intervals are multiple and all long time intervals, setting the final secondary identification time interval as a long time interval, otherwise, setting the final secondary identification time interval as a short time interval.
Step S500, when the running time of the VR system reaches the secondary identity verification time or the running state is running again, user identity identification is carried out again, otherwise, user identity identification is finished;
in this embodiment, after user identification is finished, if the VR system has a teenager identification mode, according to the identity identification technology of the VR system, teenager identification is performed on a VR system user to obtain an teenager identification result, and based on the teenager identification result, the user identification result is further divided to obtain a user identification result for distinguishing teenagers;
the teenager identification results include teenagers and non-teenagers;
the user identity recognition result for distinguishing teenagers comprises a member teenager identity, a member non-teenager identity, a non-member teenager identity and a non-member non-teenager identity;
in the method, if the authentication of the member identity is passed, the authority of the member is opened, and if the authentication of the member identity is passed and the family group use mode of a single member is allowed, the authorities of different age groups of the family group of the member are opened according to the teenager identification result;
if the authentication of the member identification is not passed, the non-member permission is opened, and the permissions of different age groups of the non-member are further opened according to the teenager identification result.
Although the steps are described in the above-described sequential order in the above-described embodiments, it will be appreciated by those skilled in the art that in order to achieve the effects of the present embodiments, the steps need not be performed in such order, and may be performed simultaneously (in parallel) or in reverse order, and such simple variations are within the scope of the present invention.
The system for identifying the identity of the VR system user comprises a first identity identification module, an identity identification result judging module, an identity identification result identifying module, a secondary identity verification time calculating module and a secondary identity identification detecting module;
the first-time identity recognition module is configured to acquire an identity recognition technology of the VR system, perform member identity recognition on a user of the VR system according to the identity recognition technology, acquire a member recognition result, and record the time of member identity recognition as first recognition time; the member identification result comprises a member identity and a non-member identity; the identity recognition technology comprises single-mode recognition and multi-mode recognition;
the identity recognition result judging module is configured to end user identity recognition if the member recognition result is a non-member identity; if the member identification result is member identity and the identity identification technology is multi-mode identification, acquiring passing states of different mode identification, and if all the passing states are passing, setting the identification of the member identification result as non-doubtful, and jumping to a secondary identity verification time calculation module; otherwise, obtaining the identification parameters and then jumping to an identity identification result mark; the pass state includes pass and fail; the identification parameters comprise optimal matching parameters of the identification parameters and suboptimal matching parameters of the identification parameters;
the identity recognition result identification module is configured to calculate a recognition judgment parameter based on the optimal matching parameter of the recognition parameter and the suboptimal matching parameter of the recognition parameter; acquiring the identification of the member identification result according to the identification parameters, the identification judging parameters and the optimal matching criteria of the identification technology; the optimal matching criterion comprises taking the minimum identification parameter as an optimal matching parameter and taking the maximum identification parameter as an optimal matching parameter;
the secondary identity verification time calculation module is configured to acquire secondary identity verification time based on the identification judgment parameter and the first identification time if the identification of the identity identification result is in doubt; if the identification of the identity recognition result is non-doubt, acquiring secondary identity verification time based on the first recognition time;
and the secondary identity recognition detection module is configured to re-perform user identity recognition when the running time of the VR system reaches the secondary identity verification time or the running state is re-running, and if not, ending the user identity recognition.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated here.
It should be noted that, in the VR system user identification system provided in the foregoing embodiment, only the division of the foregoing functional modules is illustrated, and in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, that is, the modules or steps in the foregoing embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps related to the embodiments of the present invention are merely for distinguishing the respective modules or steps, and are not to be construed as unduly limiting the present invention.
The device for identifying the identity of the user of the VR system in the third embodiment of the present invention comprises:
at least one processor, and a memory communicatively coupled to at least one of the processors;
the memory stores instructions executable by the processor for execution by the processor to implement a VR system user identification method as described above.
A fourth embodiment of the present invention is a computer readable storage medium storing computer instructions for execution by a computer to perform a method of VR system user identification as described above.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working processes of the apparatus, the computer readable storage medium and the related description described above may refer to corresponding processes in the foregoing method embodiments, which are not repeated herein.
The terms "first," "second," and the like, are used for distinguishing between similar objects and not for describing a particular sequential or chronological order.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus/apparatus.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (6)
1. A method for VR system user identification, the method comprising:
step S100, acquiring an identity recognition technology of a VR system, carrying out member identity recognition on a VR system user according to the identity recognition technology, acquiring a member recognition result, and recording the time of member identity recognition as a first recognition time; the member identification result comprises a member identity and a non-member identity; the identity recognition technology comprises single-mode recognition and multi-mode recognition;
step S200, if the member identification result is a non-member identity, ending the user identity identification; if the member identification result is member identity and the identity identification technology is multi-mode identification, acquiring passing states of different mode identification, and if all passing states are passing, setting the identification of the member identification result as non-doubtful, and jumping to step S400; otherwise, jumping to step S300 after obtaining the identification parameters; the pass state includes pass and fail; the identification parameters comprise optimal matching parameters of the identification parameters and suboptimal matching parameters of the identification parameters;
step S300, calculating an identification judgment parameter based on the optimal matching parameter of the identification parameter and the suboptimal matching parameter of the identification parameter; acquiring the identification of the member identification result according to the identification parameters, the identification judging parameters and the optimal matching criteria of the identification technology; the optimal matching criteria include a minimum identification parameter as an optimal matching parameter and a maximum identification parameter as an optimal matching parameter:
a1, if the member identification result is a member identity and the identity identification technology is multi-mode identification, if at least one passing state in passing states of different mode identification is not passing, only acquiring the identification parameter of the identity identification technology with the passing state as a first parameter when acquiring the identification parameter; if the member identification result is a member identity and the identity identification technology is single-mode identification, taking the corresponding identification parameter as a first parameter; the identification parameters represent the matching parameters of a feature vector matching algorithm corresponding to the identity identification technology;
step A2, obtaining the optimal matching parameters of the first parametersSub-optimal matching parameters to the identification parametersCalculating identification judgment parameter->：
；
Wherein,is an anti-disturbance value;
step A3, obtaining a feature vector matching algorithm corresponding to the identity recognition technology, if the optimal matching criterion corresponding to the feature vector matching algorithm is that the minimum recognition parameter is the optimal matching parameter, executing step A4, and if the optimal matching criterion corresponding to the feature vector matching algorithm is that the maximum recognition parameter is the optimal matching parameter, executing step A5;
step A4, ifOr->Changing the member identification result into a non-member identity, ending the user identification, wherein ∈>Is a first relative threshold, ++>Is a third relative threshold, the third relative threshold being greater than 0;
if it isAnd->Setting the identity recognition result as suspicious, and jumping to step S400, wherein +.>Is a second relative threshold;
if it isAnd->Setting the identification of the identity recognition result as non-doubtful, and jumping to the step S400;
step A5, ifOr->Changing the member identification result into a non-member identity, and ending the user identity identification;
if it isAnd->Setting the identification of the identification result as suspicious, and jumping to the step S400;
if it isAnd->Setting the identification of the identity recognition result as non-doubtful, and jumping to the step S400;
step S400, if the identification of the identity recognition result is in doubt, acquiring a secondary identity verification time based on the recognition judgment parameter and the first recognition time; if the identification of the identity recognition result is non-doubt, acquiring secondary identity verification time based on the first recognition time;
if the identification of the identity recognition result is in doubt, based on the recognition judgment parameter and the first recognition time, acquiring a secondary identity verification time, wherein the method comprises the following steps:
step B1, if the identification judgment parameters areThe method meets the following conditions:
；
setting a secondary identity verification time intervalFor a preset first time interval +.>；
If the identification judgment parameters areThe method meets the following conditions:
；
setting a secondary identity verification time intervalFor a preset second time interval +.>；
Step B2, setting secondary identity verification time：
；
Wherein the method comprises the steps ofIs the first identification time;
if the identification of the identity recognition result is not doubtful, acquiring secondary identity verification time based on the first recognition time, wherein the method comprises the following steps:
setting a secondary identity verification time intervalMaximum time interval supported for VR system +.>；
Setting secondary identity verification time：/>；
Step S500, when the running time of the VR system reaches the secondary authentication time or the running state is running again, user identification is conducted again, otherwise, user identification is finished.
2. The method according to claim 1, further comprising the step of determining whether the process of identifying the identity technology as multi-mode identification is interfered before calculating the identification determination parameter:
if the identity recognition technology is multi-mode recognition, the member recognition result is a member identity, at least one passing state is non-passing, whether the recognition process with the passing state being non-passing is interfered or not is judged, and if at least one recognition process with the passing state being non-passing is not interfered, the member identity is changed into a non-member identity, and the user identity recognition is ended.
3. The method of claim 1, further comprising the step of further selecting a secondary authentication time interval for the authentication technique to be multi-mode recognition before setting the secondary authentication time:
if the identification technology is multi-mode identification, the secondary identification time intervals are multiple and are all first time intervals, setting the final secondary identification time interval as the first time interval, otherwise, setting the final secondary identification time interval as the second time interval.
4. A method for identifying a user of a VR system according to claim 3, wherein said predetermined second time intervalAnd a preset first time interval->The method comprises the following steps:
；
wherein,minimum secondary authentication time interval supported for VR system,/->Maximum secondary authentication time interval supported for VR systems.
5. The method for identifying user identity of VR system according to claim 1, wherein after user identity identification is finished, if there is a teenager identification mode in the VR system, according to the identity identification technology of the VR system, teenager identification is performed on the VR system user to obtain a teenager identification result, and based on the teenager identification result, the user identification result is further divided to obtain a teenager-distinguished user identification result;
the teenager identification results include teenagers and non-teenagers;
the subscriber identity recognition result for distinguishing teenagers includes a member teenager identity, a member non-teenager identity, a non-member teenager identity and a non-member non-teenager identity.
6. An apparatus for VR system user identification, the apparatus comprising:
at least one processor, and a memory communicatively coupled to at least one of the processors;
wherein the memory stores instructions executable by the processor for execution by the processor to perform a VR system user identification method of any one of claims 1-5.
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| CN110413124A (en) * | 2019-08-01 | 2019-11-05 | 贵州电网有限责任公司 | A kind of man-machine interactive system and its application method based on VR video |
| CN115718913A (en) * | 2023-01-09 | 2023-02-28 | 荣耀终端有限公司 | User identity identification method and electronic equipment |
| CN116962014A (en) * | 2023-06-21 | 2023-10-27 | 深圳市华弘智谷科技有限公司 | Method, device, equipment and medium for identifying identity in VR |
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| CN110413124A (en) * | 2019-08-01 | 2019-11-05 | 贵州电网有限责任公司 | A kind of man-machine interactive system and its application method based on VR video |
| CN115718913A (en) * | 2023-01-09 | 2023-02-28 | 荣耀终端有限公司 | User identity identification method and electronic equipment |
| CN116962014A (en) * | 2023-06-21 | 2023-10-27 | 深圳市华弘智谷科技有限公司 | Method, device, equipment and medium for identifying identity in VR |
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