CN112274920B - Virtual reality gesture control method, platform, server and readable storage medium - Google Patents
Virtual reality gesture control method, platform, server and readable storage medium Download PDFInfo
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- A—HUMAN NECESSITIES
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- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/50—Controlling the output signals based on the game progress
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
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- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/80—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game specially adapted for executing a specific type of game
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Abstract
The invention relates to the technical field of virtual reality, in particular to a virtual reality gesture control method, a virtual reality gesture control platform, a server and a readable storage medium. Firstly, acquiring a gesture control instruction queue according to a first gesture control period, and determining the average instruction operation duration of the gesture control instruction queue; then determining a reference control instruction queue for instruction information correction; then determining a target control instruction queue for instruction information correction; and correcting the instruction information of the current gesture control instruction corresponding to the virtual target object. According to the invention, based on the obtained target control instruction queue, instruction information correction is carried out on the current gesture control instruction corresponding to the target object by utilizing the target control instruction queue, so that the gesture action made by the virtual target object is more consistent with the gesture of the user, and the reality of the gesture action of the virtual target object is improved.
Description
Technical Field
The invention relates to the technical field of virtual reality, in particular to a virtual reality gesture control method, a virtual reality gesture control platform, a server and a readable storage medium.
Background
In a game scene, Virtual Reality (VR) technology can be combined, and some Virtual Reality devices are used to enable a user to interact with Virtual target objects in some Virtual scenes, so that the playability of the game is improved.
In the process of interaction between the user and the virtual target object, for example, in some scenes of gesture interactive games, the gesture of the virtual target object can be obtained by iteration according to some set game rules.
However, the iterative approach may generate accumulated errors, so that the gesture action made by the virtual target object has poor interaction effect with the user.
Disclosure of Invention
The present invention is directed to a virtual reality gesture control method, a virtual reality gesture control platform, a virtual reality gesture control server, and a readable storage medium, so as to solve at least some of the above technical problems.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present invention provides a virtual reality gesture control method, including:
acquiring a gesture control instruction queue according to a first gesture control period, and determining the average instruction operation duration of the gesture control instruction queue; the gesture control instruction queue comprises operation instructions acquired by a plurality of sensors, and the average instruction operation duration is the average instruction duration of all the operation instructions in the gesture control instruction queue;
determining a reference control instruction queue for instruction information correction based on the acquired gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue;
determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction; and
and according to the target control instruction queue for instruction information correction, performing instruction information correction on the current gesture control instruction corresponding to the virtual target object.
Optionally, as a possible implementation manner, the determining, based on the obtained gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue, a reference control instruction queue for instruction information correction includes:
and determining the reference control instruction queue for instruction information correction according to the reference control instruction queue for instruction information correction and the instruction configuration strategy of the gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue.
Optionally, as a possible implementation manner, the determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction includes:
when the number of instructions contained in the determined reference control instruction queue for instruction information correction is not less than half of the number of instructions contained in the gesture control instruction queue, determining the reference control instruction queue as a target control instruction queue for instruction information correction; and
and when the number of the instructions contained in the determined reference control instruction queue for instruction information correction is less than half of the number of the instructions contained in the gesture control instruction queue, determining a target control instruction queue for instruction information correction based on an instruction update set corresponding to the gesture control instruction queue in a set reference period.
Optionally, as a possible implementation manner, the determining, based on an instruction update set corresponding to the gesture control instruction queue in a set reference period, a target control instruction queue for instruction information correction includes:
in the set reference period, acquiring an updated gesture control instruction queue according to the first gesture control period, wherein the updated gesture control instruction queue represents an instruction update set of the gesture control instruction queue; and
determining the reference control instruction queue as a target control instruction queue for instruction information correction when the number of instructions contained in the determined reference control instruction queue for instruction information correction in the set reference period is not more than the number of instructions contained in the updated gesture control instruction queue;
when the number of instructions contained in the reference control instruction queue for instruction information correction determined in the set reference period is larger than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction;
or, in the set reference period, obtaining an updated gesture control instruction queue and an average instruction operation duration of the updated gesture control instruction queue in proportion according to a relative duration ratio of the first gesture control period to the set reference period, where the updated gesture control instruction queue represents an instruction update set of the gesture control instruction queue;
determining an updated reference control instruction queue for instruction information correction based on the updated gesture control instruction queue and the updated average instruction operation duration of the gesture control instruction queue;
in the set reference period, if the number of instructions contained in the updated reference control instruction queue for instruction information correction is not greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated reference control instruction queue as a target control instruction queue for instruction information correction; and
and in the set reference period, if the number of instructions contained in the determined reference control instruction queue for instruction information correction is greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction.
Optionally, as a possible implementation manner, the acquiring a gesture control instruction queue according to the first gesture control period includes:
under the condition that a plurality of virtual target objects are aimed at by the acquired gesture control instruction queue, acquiring a gesture control instruction queue according to a second gesture control period;
under the condition that a plurality of virtual target objects which are aimed at by the gesture control instruction queue and are obtained according to the second gesture control period still comprise a plurality of virtual target objects, updating the second gesture control period based on a preset retraction step length, wherein the preset retraction step length enables the second gesture control period to be reduced along with the increase of the times of re-obtaining the gesture control instruction queue, and the initial value of the second gesture control period is equal to the value of the first gesture control period; and
and under the condition that the virtual target objects corresponding to the gesture control instruction queue obtained according to the updated second gesture control period do not comprise a plurality of virtual target objects, obtaining the gesture control instruction queue according to the first gesture control period.
Optionally, as a possible implementation manner, the performing, according to the target control instruction queue for instruction information correction, instruction information correction on the current gesture control instruction corresponding to the virtual target object includes:
establishing a designated correction corresponding relation between the virtual target object and the target control instruction queue for instruction information correction;
issuing the instruction correction corresponding relation to a plurality of instruction correction execution units;
and performing instruction information correction on the current gesture control instruction corresponding to the virtual target object through the instruction correction execution units.
Optionally, as a possible implementation manner, the performing, by the multiple instruction correction execution units, instruction information correction on the current gesture control instruction corresponding to the virtual target object includes:
receiving reference instruction correction data generated by each instruction correction execution unit, and counting the number of the received reference instruction correction data;
when the number of the received reference instruction correction data reaches a preset reference correction data number threshold value, selecting a reference instruction correction execution unit set from the instruction correction execution unit according to a preset election strategy;
calculating the average value and standard deviation of the instruction correction data according to the reference instruction correction data corresponding to each reference instruction correction execution unit in the reference instruction correction execution unit set;
performing normal distribution judgment on the instruction correction execution unit according to the instruction correction data average value, the instruction correction data standard deviation and a preset normal distribution strategy;
determining the instruction correction execution unit which accords with the preset normal distribution strategy as a target instruction correction execution unit;
acquiring all historical reference weight coefficients corresponding to all target instruction correction execution units in a preset reference time period from a preset reference weight array to obtain a reference weight coefficient set corresponding to all target instruction correction execution units;
sequencing all historical reference weight coefficients of each reference weight coefficient set according to a timestamp label corresponding to each historical reference weight coefficient in each reference weight coefficient set to obtain a target reference weight coefficient sequence corresponding to each target instruction correction execution unit;
when the time interval between two adjacent reference weight coefficients in each target reference weight coefficient sequence meets a set time interval threshold, performing reference coefficient weighting calculation according to all the target reference weight coefficient sequences to obtain a target reference weighting verification value corresponding to each target instruction correction execution unit;
when all the target reference weighting verification values reach a set reference weighting threshold value, acquiring a to-be-processed reference weighting coefficient set corresponding to each target reference weighting coefficient sequence;
performing weight coefficient fitting on the reference weight coefficient set to be processed according to a pre-trained weight value fitting model to obtain a target reference weight coefficient corresponding to each instruction correction execution unit;
and performing weighted summation on the target reference weight coefficients and the reference instruction correction data corresponding to all the instruction correction execution units to obtain target gesture adjustment parameters, and performing instruction information correction on the current gesture control instruction corresponding to the virtual target object by using the target gesture adjustment parameters.
Optionally, as a possible implementation manner, the obtaining a to-be-processed reference weight coefficient set corresponding to each target reference weight coefficient sequence includes:
acquiring historical reference weight coefficients corresponding to the target instruction correction execution units in a preset target time period from a preset reference weight array to obtain an initial reference weight coefficient set corresponding to each target instruction correction execution unit; the preset target time period is a time period for calculating a weight coefficient;
sequencing all historical reference weight coefficients in each reference weight coefficient set according to a timestamp label corresponding to each historical reference weight coefficient in each initial reference weight coefficient set to obtain an intermediate reference weight coefficient sequence corresponding to each target instruction correction execution unit;
and screening the intermediate reference weight coefficient sequences corresponding to the target instruction correction execution units according to the arrangement sequence to obtain a to-be-processed reference weight coefficient set corresponding to each target instruction correction execution unit.
Optionally, as a possible implementation manner, the performing weighted summation on the target reference weight coefficient and the reference instruction correction data corresponding to all the instruction correction execution units to obtain the target gesture adjustment parameter includes:
performing threshold range check on all the target reference weight coefficients;
when all the target reference weight coefficients pass the threshold range test, selecting a normalized reference value from the target reference weight coefficients; wherein the normalized reference value is the largest one of the target security weight coefficients;
normalizing all the target reference weight coefficients by using the normalized reference value;
and carrying out weighted summation on all the normalized target reference weight coefficients and the corresponding reference instruction correction data to obtain target gesture adjustment parameters.
In a second aspect, the present invention provides a virtual reality gesture control platform, comprising:
the processing module is used for acquiring a gesture control instruction queue according to a first gesture control period and determining the average instruction operation duration of the gesture control instruction queue; the gesture control instruction queue comprises operation instructions acquired by a plurality of sensors, and the average instruction operation duration is the average instruction duration of all the operation instructions in the gesture control instruction queue;
the processing module is further used for determining a reference control instruction queue for instruction information correction based on the acquired gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue;
the processing module is further used for determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction; and
and the correction module is used for correcting the instruction information of the current gesture control instruction corresponding to the virtual target object according to the target control instruction queue for correcting the instruction information.
In a third aspect, the present invention provides a server comprising a memory for storing one or more programs; a processor; the one or more programs, when executed by the processor, implement the virtual reality gesture control method described above.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the virtual reality gesture control method described above.
According to the virtual reality gesture control method, the virtual reality gesture control platform, the virtual reality gesture control server and the readable storage medium, the current gesture control instruction is a gesture control instruction which is fitted according to gesture information of the virtual target object at the historical moment. In this embodiment, based on the obtained target control instruction queue, by using the target control instruction queue, instruction information correction is performed on the current gesture control instruction corresponding to the target object, so that the gesture action made by the virtual target object better conforms to the gesture of the user, and the reality of the gesture action of the virtual target object is improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to these drawings without inventive effort.
Fig. 1 is a block diagram of a server according to the present invention.
Fig. 2 is a flowchart of a virtual reality gesture control method provided in the present invention.
Fig. 3 is a block diagram of a virtual reality gesture control platform according to the present invention.
In the figure: 100-a server; 101-a memory; 102-a processor; 103-a communication interface; 400-virtual reality gesture control platform; 401-a processing module; 402-correction module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in some embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. The components of the present invention, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on a part of the embodiments of the present invention, belong to the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 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. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a block diagram of a server 100 according to the present invention, where the server 100 includes a memory 101, a processor 102 and a communication interface 103, and the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to implement data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines.
The memory 101 may be used to store software programs and modules, such as program instructions/modules corresponding to the virtual reality gesture control apparatus provided by the present invention, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 101, so as to execute the steps of the virtual reality gesture control method provided by the present invention. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Programmable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
Referring to fig. 2, fig. 2 is a flowchart of a virtual reality gesture control method provided by the present invention, where the virtual reality gesture control method includes the following steps:
s310, acquiring a gesture control instruction queue according to a first gesture control period, and determining the average instruction operation duration of the gesture control instruction queue.
In this embodiment, in the process of performing gesture control on the virtual target object, according to a first gesture control period, operation instructions acquired by a plurality of sensors may be received, and all the acquired operation instructions are added to an instruction queue to generate a gesture control instruction queue, where each operation instruction may be one of the gesture operation instructions for the virtual target object, and the gesture control instruction queue includes the operation instructions acquired by the plurality of sensors.
In addition, an average instruction operation duration of the gesture control instruction queue is determined according to operation instructions of all operation instructions contained in the gesture control instruction queue, wherein the average instruction operation duration is an average instruction duration of all the operation instructions in the gesture control instruction queue, that is, the average instruction operation duration is an average value of the operation durations of all the operation instructions in the gesture control instruction queue.
S320, determining a reference control instruction queue for instruction information correction based on the acquired gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue.
S330, determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction.
In this embodiment, it may be understood that the determined target control instruction queue is a sub-queue of the gesture control instruction queue, that is: and all the operation instructions in the target control instruction queue are one in the gesture control instruction queue.
And S340, according to the target control instruction queue for instruction information correction, performing instruction information correction on the current gesture control instruction corresponding to the virtual target object.
In this embodiment, the current gesture control instruction is a gesture control instruction fitted according to gesture information of the virtual target object at a historical time. In this embodiment, based on the obtained target control instruction queue, by using the target control instruction queue, instruction information correction is performed on the current gesture control instruction corresponding to the target object, so that the gesture action made by the virtual target object better conforms to the gesture of the user, and the reality of the gesture action of the virtual target object is improved.
Therefore, according to the virtual reality gesture control method provided in this embodiment, after a gesture control instruction queue is obtained according to a first gesture control period, a reference control instruction queue for instruction information correction is determined by determining an average instruction operation duration of the gesture control instruction queue and based on the obtained gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue; then, determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction; next, according to the target control instruction queue for instruction information correction, performing instruction information correction on the task in the virtual target object; compared with the prior art, the gesture action made by the virtual target object can better accord with the gesture of the user, and the reality of the gesture action of the virtual target object is improved.
In this embodiment, in order to determine that the operation instructions included in the gesture control instruction queue all target to the same virtual target object, when S310 is executed to acquire the gesture control instruction queue, if a plurality of virtual target objects to which the acquired gesture control instruction queue targets are included, the gesture control instruction queue may be acquired according to a second gesture control cycle.
That is, in some embodiments, the gesture control instruction queue includes more than one virtual target object in all instruction queues targeted.
And then, under the condition that a plurality of virtual target objects are still included in the gesture control command queue obtained according to the second gesture control period, updating the second gesture control period based on a preset retraction step length, wherein the preset retraction step length enables the second gesture control period to be reduced along with the increase of the times of reacquiring the gesture control command queue, and the initial value of the second gesture control period is equal to the value of the first gesture control period.
Next, when there are no more virtual target objects to which the gesture control instruction queue acquired in accordance with the updated second gesture control period is directed, acquiring a gesture control instruction queue in accordance with the first gesture control period.
In addition, in this embodiment, when S320 is executed, the reference control instruction queue for instruction information correction may be determined according to the reference control instruction queue for instruction information correction and the instruction configuration policy of the gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue.
For example, in some embodiments, the instruction configuration policy may be: and adding an operation instruction of which the difference value between the corresponding instruction operation duration and the average operation duration threshold is within a set threshold range in the gesture control instruction queue to a reference control instruction queue.
And, in some embodiments, in the process of executing S330, when the number of instructions contained in the determined reference control instruction queue for instruction information correction is not less than half of the number of instructions contained in the gesture control instruction queue, determining the reference control instruction queue as a target control instruction queue for instruction information correction.
On the other hand, when the number of the instructions contained in the determined reference control instruction queue for instruction information correction is less than half of the number of the instructions contained in the gesture control instruction queue, a target control instruction queue for instruction information correction is determined based on an instruction update set corresponding to the gesture control instruction queue in a set reference period.
For example, in this embodiment, when a target control instruction queue for instruction information correction is determined based on an instruction update set corresponding to the gesture control instruction queue in a set reference period, an updated gesture control instruction queue may be obtained according to the first gesture control period in the set reference period, where the updated gesture control instruction queue represents the instruction update set of the gesture control instruction queue.
Then, when the number of instructions contained in the determined reference control instruction queue for instruction information correction in the set reference period is not more than the number of instructions contained in the updated gesture control instruction queue, determining the reference control instruction queue as a target control instruction queue for instruction information correction.
Otherwise, when the number of instructions contained in the reference control instruction queue for instruction information correction determined in the set reference period is greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction.
In addition, in the set reference period, according to the relative duration ratio of the first gesture control period to the set reference period, obtaining an updated gesture control instruction queue and an average instruction operation duration of the updated gesture control instruction queue in proportion, where the updated gesture control instruction queue represents an instruction update set of the gesture control instruction queue.
And then, determining an updated reference control instruction queue for instruction information correction based on the updated gesture control instruction queue and the updated average instruction operation duration of the gesture control instruction queue.
Then, in the set reference period, if the number of instructions contained in the updated reference control instruction queue for instruction information correction is not greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated reference control instruction queue as a target control instruction queue for instruction information correction.
On the other hand, in the set reference period, if the number of instructions contained in the determined reference control instruction queue for instruction information correction is greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction.
In this embodiment, when performing S340 to perform instruction information correction on the current gesture control instruction corresponding to the virtual target object, in order to improve the reliability of instruction information correction, a specified correction corresponding relationship between the virtual target object and the target control instruction queue for instruction information correction may be established first.
And then, issuing the instruction correction corresponding relation to a plurality of instruction correction execution units.
In the present embodiment, each instruction correction execution unit may be configured to calculate an instruction correction amount for the virtual target object.
And then, performing instruction information correction on the current gesture control instruction corresponding to the virtual target object through the instruction correction execution units.
In some embodiments, when the instruction information correction is performed on the current gesture control instruction corresponding to the virtual target object by the instruction correction execution units, reference instruction correction data generated by each instruction correction execution unit may be received first, and the number of the received reference instruction correction data may be counted.
And then, when the number of the received reference instruction correction data reaches a preset reference correction data number threshold value, selecting a reference instruction correction execution unit set from the instruction correction execution units according to a preset election strategy.
For example, in this embodiment, the reference instruction correction execution unit set may be selected by a random election.
And then, calculating the average value and standard deviation of the command correction data according to the reference command correction data corresponding to the reference command correction execution units in the reference command correction execution unit set.
And then, performing normal distribution judgment on the instruction correction execution unit according to the instruction correction data average value, the instruction correction data standard deviation and a preset normal distribution strategy.
And then, determining the instruction correction execution unit which accords with the preset normal distribution strategy as a target instruction correction execution unit.
And then, acquiring all historical reference weight coefficients corresponding to the target instruction correction execution units in a preset reference time period from a preset reference weight array to obtain a reference weight coefficient set corresponding to each target instruction correction execution unit.
And then, sequencing all the historical reference weight coefficients of each reference weight coefficient set according to the timestamp labels corresponding to the historical reference weight coefficients in each reference weight coefficient set to obtain a target reference weight coefficient sequence corresponding to each target instruction correction execution unit.
Then, when the time interval between two adjacent reference weight coefficients in each target reference weight coefficient sequence meets a set time interval threshold, performing reference coefficient weighting calculation according to all the target reference weight coefficient sequences to obtain a target reference weighting verification value corresponding to each target instruction correction execution unit.
And then, when all the target reference weighting verification values reach a set reference weighting threshold, acquiring a to-be-processed reference weighting coefficient set corresponding to each target reference weighting coefficient sequence.
And then, performing weight coefficient fitting on the reference weight coefficient set to be processed according to a pre-trained weight value fitting model to obtain a target reference weight coefficient corresponding to each instruction correction execution unit.
And then, performing weighted summation on the target reference weight coefficients and the reference instruction correction data corresponding to all the instruction correction execution units to obtain target gesture adjustment parameters, so as to perform instruction information correction on the current gesture control instruction corresponding to the virtual target object by using the target gesture adjustment parameters.
Optionally, in this embodiment, when obtaining a to-be-processed reference weight coefficient set corresponding to each target reference weight coefficient sequence, a historical reference weight coefficient corresponding to each target instruction correction execution unit in a preset target time period may be obtained from a preset reference weight array, so as to obtain an initial reference weight coefficient set corresponding to each target instruction correction execution unit; the preset target time period is a time period for calculating a weight coefficient.
Then, according to the timestamp labels corresponding to the historical reference weight coefficients in each initial reference weight coefficient set, all the historical reference weight coefficients in each reference weight coefficient set are sequenced to obtain an intermediate reference weight coefficient sequence corresponding to each target instruction correction execution unit.
Then, the intermediate reference weight coefficient sequences corresponding to the target instruction correction execution units may be screened according to the arrangement order, so as to obtain a to-be-processed reference weight coefficient set corresponding to each target instruction correction execution unit.
For example, screening may be performed according to a predetermined topK strategy.
In addition, in some embodiments, when the target reference weight coefficient and the reference instruction correction data corresponding to each of all the instruction correction execution units are subjected to weighted summation to obtain the target gesture adjustment parameter, all the target reference weight coefficients may be subjected to threshold range check first.
Then, when all the target reference weight coefficients pass the threshold range test, selecting a normalized reference value from the target reference weight coefficients; wherein the normalized reference value is the largest one of the target security weight coefficients.
Then, all the target reference weight coefficients are normalized by using the normalized reference value.
And then, carrying out weighted summation on all the normalized target reference weight coefficients and the corresponding reference instruction correction data to obtain target gesture adjustment parameters.
Based on the same inventive concept as the above-mentioned virtual reality gesture control method provided by the present invention, please refer to fig. 3, and fig. 3 is a structural block diagram of a virtual reality gesture control platform 400 provided by the present invention, where the virtual reality gesture control platform 400 includes a processing module 401 and a correction module 402.
The processing module 401 is configured to obtain a gesture control instruction queue according to a first gesture control period, and determine an average instruction operation duration of the gesture control instruction queue; the gesture control instruction queue comprises operation instructions acquired by a plurality of sensors, and the average instruction operation duration is the average instruction duration of all the operation instructions in the gesture control instruction queue;
the processing module 401 is further configured to determine a reference control instruction queue for instruction information correction based on the obtained gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue;
the processing module 401 is further configured to determine a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction; and
and a correcting module 402, configured to correct the instruction information of the current gesture control instruction corresponding to the virtual target object according to the target control instruction queue for instruction information correction.
Optionally, as a possible implementation manner, when determining a reference control instruction queue for instruction information correction based on the obtained gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue, the processing module 401 is specifically configured to:
and determining the reference control instruction queue for instruction information correction according to the reference control instruction queue for instruction information correction and the instruction configuration strategy of the gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue.
Optionally, as a possible implementation manner, when determining the target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction, the processing module 401 is specifically configured to:
when the number of instructions contained in the determined reference control instruction queue for instruction information correction is not less than half of the number of instructions contained in the gesture control instruction queue, determining the reference control instruction queue as a target control instruction queue for instruction information correction; and
and when the number of the instructions contained in the determined reference control instruction queue for instruction information correction is less than half of the number of the instructions contained in the gesture control instruction queue, determining a target control instruction queue for instruction information correction based on an instruction update set corresponding to the gesture control instruction queue in a set reference period.
Optionally, as a possible implementation manner, when determining a target control instruction queue for instruction information correction based on an instruction update set corresponding to the gesture control instruction queue in a set reference period, the processing module 401 is specifically configured to:
in the set reference period, acquiring an updated gesture control instruction queue according to the first gesture control period, wherein the updated gesture control instruction queue represents an instruction update set of the gesture control instruction queue; and
determining the reference control instruction queue as a target control instruction queue for instruction information correction when the number of instructions contained in the determined reference control instruction queue for instruction information correction in the set reference period is not more than the number of instructions contained in the updated gesture control instruction queue;
when the number of instructions contained in the reference control instruction queue for instruction information correction determined in the set reference period is larger than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction;
or, in the set reference period, obtaining an updated gesture control instruction queue and an average instruction operation duration of the updated gesture control instruction queue in proportion according to a relative duration ratio of the first gesture control period to the set reference period, where the updated gesture control instruction queue represents an instruction update set of the gesture control instruction queue;
determining an updated reference control instruction queue for instruction information correction based on the updated gesture control instruction queue and the updated average instruction operation duration of the gesture control instruction queue;
in the set reference period, if the number of instructions contained in the updated reference control instruction queue for instruction information correction is not greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated reference control instruction queue as a target control instruction queue for instruction information correction; and
and in the set reference period, if the number of instructions contained in the determined reference control instruction queue for instruction information correction is greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction.
Optionally, as a possible implementation manner, when the processing module 401 acquires the gesture control instruction queue according to the first gesture control period, it is specifically configured to:
under the condition that a plurality of virtual target objects are aimed at by the acquired gesture control instruction queue, acquiring a gesture control instruction queue according to a second gesture control period;
under the condition that a plurality of virtual target objects which are aimed at by the gesture control instruction queue and are obtained according to the second gesture control period still comprise a plurality of virtual target objects, updating the second gesture control period based on a preset retraction step length, wherein the preset retraction step length enables the second gesture control period to be reduced along with the increase of the times of re-obtaining the gesture control instruction queue, and the initial value of the second gesture control period is equal to the value of the first gesture control period; and
and under the condition that the virtual target objects corresponding to the gesture control instruction queue obtained according to the updated second gesture control period do not comprise a plurality of virtual target objects, obtaining the gesture control instruction queue according to the first gesture control period.
Optionally, as a possible implementation manner, when performing instruction information correction on the current gesture control instruction corresponding to the virtual target object according to the target control instruction queue for instruction information correction, the correction module 402 is specifically configured to:
establishing a designated correction corresponding relation between the virtual target object and the target control instruction queue for instruction information correction;
issuing the instruction correction corresponding relation to a plurality of instruction correction execution units;
and performing instruction information correction on the current gesture control instruction corresponding to the virtual target object through the instruction correction execution units.
Optionally, as a possible implementation manner, when the instruction information correction is performed on the current gesture control instruction corresponding to the virtual target object through the plurality of instruction correction execution units, the correction module 402 is specifically configured to:
receiving reference instruction correction data generated by each instruction correction execution unit, and counting the number of the received reference instruction correction data;
when the number of the received reference instruction correction data reaches a preset reference correction data number threshold value, selecting a reference instruction correction execution unit set from the instruction correction execution unit according to a preset election strategy;
calculating the average value and standard deviation of the instruction correction data according to the reference instruction correction data corresponding to each reference instruction correction execution unit in the reference instruction correction execution unit set;
performing normal distribution judgment on the instruction correction execution unit according to the instruction correction data average value, the instruction correction data standard deviation and a preset normal distribution strategy;
determining the instruction correction execution unit which accords with the preset normal distribution strategy as a target instruction correction execution unit;
acquiring all historical reference weight coefficients corresponding to all target instruction correction execution units in a preset reference time period from a preset reference weight array to obtain a reference weight coefficient set corresponding to all target instruction correction execution units;
sequencing all historical reference weight coefficients of each reference weight coefficient set according to a timestamp label corresponding to each historical reference weight coefficient in each reference weight coefficient set to obtain a target reference weight coefficient sequence corresponding to each target instruction correction execution unit;
when the time interval between two adjacent reference weight coefficients in each target reference weight coefficient sequence meets a set time interval threshold, performing reference coefficient weighting calculation according to all the target reference weight coefficient sequences to obtain a target reference weighting verification value corresponding to each target instruction correction execution unit;
when all the target reference weighting verification values reach a set reference weighting threshold value, acquiring a to-be-processed reference weighting coefficient set corresponding to each target reference weighting coefficient sequence;
performing weight coefficient fitting on the reference weight coefficient set to be processed according to a pre-trained weight value fitting model to obtain a target reference weight coefficient corresponding to each instruction correction execution unit;
and performing weighted summation on the target reference weight coefficients and the reference instruction correction data corresponding to all the instruction correction execution units to obtain target gesture adjustment parameters, and performing instruction information correction on the current gesture control instruction corresponding to the virtual target object by using the target gesture adjustment parameters.
Optionally, as a possible implementation manner, when obtaining the to-be-processed reference weight coefficient set corresponding to each target reference weight coefficient sequence, the correcting module 402 is specifically configured to:
acquiring historical reference weight coefficients corresponding to the target instruction correction execution units in a preset target time period from a preset reference weight array to obtain an initial reference weight coefficient set corresponding to each target instruction correction execution unit; the preset target time period is a time period for calculating a weight coefficient;
sequencing all historical reference weight coefficients in each reference weight coefficient set according to a timestamp label corresponding to each historical reference weight coefficient in each initial reference weight coefficient set to obtain an intermediate reference weight coefficient sequence corresponding to each target instruction correction execution unit;
and screening the intermediate reference weight coefficient sequences corresponding to the target instruction correction execution units according to the arrangement sequence to obtain a to-be-processed reference weight coefficient set corresponding to each target instruction correction execution unit.
Optionally, as a possible implementation manner, when the correction module 402 performs weighted summation on the target reference weight coefficient and the reference instruction correction data corresponding to all the instruction correction execution units to obtain the target gesture adjustment parameter, the correction module is specifically configured to:
performing threshold range check on all the target reference weight coefficients;
when all the target reference weight coefficients pass the threshold range test, selecting a normalized reference value from the target reference weight coefficients; wherein the normalized reference value is the largest one of the target security weight coefficients;
normalizing all the target reference weight coefficients by using the normalized reference value;
and carrying out weighted summation on all the normalized target reference weight coefficients and the corresponding reference instruction correction data to obtain target gesture adjustment parameters.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to some embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based platforms that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in some embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to some embodiments of the present invention. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The above description is only a few examples of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A virtual reality gesture control method, the method comprising:
acquiring a gesture control instruction queue according to a first gesture control period, and determining the average instruction operation duration of the gesture control instruction queue; the gesture control instruction queue comprises operation instructions acquired by a plurality of sensors, and the average instruction operation duration is the average instruction duration of all the operation instructions in the gesture control instruction queue;
determining a reference control instruction queue for instruction information correction based on the acquired gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue;
determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction; and
and according to the target control instruction queue for instruction information correction, performing instruction information correction on the current gesture control instruction corresponding to the virtual target object.
2. The method according to claim 1, wherein the determining a reference control instruction queue for instruction information correction based on the obtained gesture control instruction queue and an average instruction operation duration of the gesture control instruction queue comprises:
and determining the reference control instruction queue for instruction information correction according to the reference control instruction queue for instruction information correction and the gesture control instruction queue and the instruction configuration strategy of the average instruction operation duration of the gesture control instruction queue.
3. The method of claim 1, wherein determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction comprises:
when the number of instructions contained in the determined reference control instruction queue for instruction information correction is not less than half of the number of instructions contained in the gesture control instruction queue, determining the reference control instruction queue as a target control instruction queue for instruction information correction; and
and when the number of the instructions contained in the determined reference control instruction queue for instruction information correction is less than half of the number of the instructions contained in the gesture control instruction queue, determining a target control instruction queue for instruction information correction based on an instruction update set corresponding to the gesture control instruction queue in a set reference period.
4. The method according to claim 3, wherein the determining a target control instruction queue for instruction information correction based on an instruction update set corresponding to the gesture control instruction queue in a set reference period comprises:
in the set reference period, acquiring an updated gesture control instruction queue according to the first gesture control period, wherein the updated gesture control instruction queue represents an instruction update set of the gesture control instruction queue; and
determining the reference control instruction queue as a target control instruction queue for instruction information correction when the number of instructions contained in the determined reference control instruction queue for instruction information correction in the set reference period is not more than the number of instructions contained in the updated gesture control instruction queue;
when the number of instructions contained in the reference control instruction queue for instruction information correction determined in the set reference period is larger than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction;
or, in the set reference period, obtaining an updated gesture control instruction queue and an average instruction operation duration of the updated gesture control instruction queue in proportion according to a relative duration ratio of the first gesture control period to the set reference period, where the updated gesture control instruction queue represents an instruction update set of the gesture control instruction queue;
determining an updated reference control instruction queue for instruction information correction based on the updated gesture control instruction queue and the updated average instruction operation duration of the gesture control instruction queue;
in the set reference period, if the number of instructions contained in the updated reference control instruction queue for instruction information correction is not greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated reference control instruction queue as a target control instruction queue for instruction information correction; and
and in the set reference period, if the number of instructions contained in the determined reference control instruction queue for instruction information correction is greater than the number of instructions contained in the updated gesture control instruction queue, determining the updated gesture control instruction queue as a target control instruction queue for instruction information correction.
5. The method of claim 1, wherein the obtaining a gesture control command queue according to the first gesture control cycle comprises:
under the condition that a plurality of virtual target objects are aimed at by the acquired gesture control instruction queue, acquiring a gesture control instruction queue according to a second gesture control period;
under the condition that a plurality of virtual target objects which are aimed at by the gesture control instruction queue and are obtained according to the second gesture control period still comprise a plurality of virtual target objects, updating the second gesture control period based on a preset retraction step length, wherein the preset retraction step length enables the second gesture control period to be reduced along with the increase of the times of re-obtaining the gesture control instruction queue, and the initial value of the second gesture control period is equal to the value of the first gesture control period; and
and under the condition that the virtual target objects corresponding to the gesture control instruction queue obtained according to the updated second gesture control period do not comprise a plurality of virtual target objects, obtaining the gesture control instruction queue according to the first gesture control period.
6. The method according to claim 1, wherein the performing instruction information correction on the current gesture control instruction corresponding to the virtual target object according to the target control instruction queue for instruction information correction includes:
establishing a designated correction corresponding relation between the virtual target object and the target control instruction queue for instruction information correction;
issuing the instruction correction corresponding relation to a plurality of instruction correction execution units;
and performing instruction information correction on the current gesture control instruction corresponding to the virtual target object through the instruction correction execution units.
7. The method according to claim 6, wherein the performing, by the instruction correction execution units, instruction information correction on the current gesture control instruction corresponding to the virtual target object includes:
receiving reference instruction correction data generated by each instruction correction execution unit, and counting the number of the received reference instruction correction data;
when the number of the received reference instruction correction data reaches a preset reference correction data number threshold value, selecting a reference instruction correction execution unit set from the instruction correction execution unit according to a preset election strategy;
according to the reference instruction correction data corresponding to each reference instruction correction execution unit in the reference instruction correction execution unit set, calculating an instruction correction data average value and an instruction correction data standard deviation;
performing normal distribution judgment on the instruction correction execution unit according to the instruction correction data average value, the instruction correction data standard deviation and a preset normal distribution strategy;
determining the instruction correction execution unit which accords with the preset normal distribution strategy as a target instruction correction execution unit;
acquiring all historical reference weight coefficients corresponding to all target instruction correction execution units in a preset reference time period from a preset reference weight array to obtain a reference weight coefficient set corresponding to all target instruction correction execution units;
sequencing all historical reference weight coefficients of each reference weight coefficient set according to the timestamp labels corresponding to the historical reference weight coefficients in each reference weight coefficient set to obtain a target reference weight coefficient sequence corresponding to each target instruction correction execution unit;
when the time interval between two adjacent reference weight coefficients in each target reference weight coefficient sequence meets a set time interval threshold, performing reference coefficient weighting calculation according to all the target reference weight coefficient sequences to obtain a target reference weighting verification value corresponding to each target instruction correction execution unit;
when all the target reference weighting verification values reach a set reference weighting threshold value, acquiring a to-be-processed reference weighting coefficient set corresponding to each target reference weighting coefficient sequence;
performing weight coefficient fitting on the reference weight coefficient set to be processed according to a pre-trained weight value fitting model to obtain a target reference weight coefficient corresponding to each instruction correction execution unit;
and performing weighted summation on the target reference weight coefficients and the reference instruction correction data corresponding to all the instruction correction execution units to obtain target gesture adjustment parameters, and performing instruction information correction on the current gesture control instruction corresponding to the virtual target object by using the target gesture adjustment parameters.
8. A virtual reality gesture control platform, characterized in that the platform comprises:
the processing module is used for acquiring a gesture control instruction queue according to a first gesture control period and determining the average instruction operation duration of the gesture control instruction queue; the gesture control instruction queue comprises operation instructions acquired by a plurality of sensors, and the average instruction operation duration is the average instruction duration of all the operation instructions in the gesture control instruction queue;
the processing module is further used for determining a reference control instruction queue for instruction information correction based on the acquired gesture control instruction queue and the average instruction operation duration of the gesture control instruction queue;
the processing module is further used for determining a target control instruction queue for instruction information correction based on the gesture control instruction queue and the reference control instruction queue for instruction information correction; and
and the correction module is used for correcting the instruction information of the current gesture control instruction corresponding to the virtual target object according to the target control instruction queue for correcting the instruction information.
9. A server, comprising a memory for storing one or more programs; a processor; the one or more programs, when executed by the processor, implement the virtual reality gesture control method described above.
10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when executed by a processor, the computer program implements the virtual reality gesture control method described above.
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| WO2018040906A1 (en) * | 2016-08-31 | 2018-03-08 | 纳恩博（北京）科技有限公司 | Pan-tilt control method and device, and computer storage medium |
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