CN109753911B - Method and related device for improving multi-object tracking capability of virtual reality system - Google Patents

Abstract

The invention relates to the field of virtual reality, and provides a method and a related device for improving the multi-object tracking capability of a virtual reality system. A method for improving the multi-object tracking capability of a virtual reality system includes: speed detection data, number detection data and time detection data of a behavioral performance evaluation system; and the behavioral performance evaluation system analyzes and obtains a speed detection threshold, a number detection threshold and a time detection threshold The behavior performance evaluation system sends the first detection result message to the virtual reality detection system, and the first detection result message is used to instruct the virtual reality detection system to generate a result detection interface for displaying the speed detection threshold, the number detection threshold and the time detection threshold The behavior performance evaluation system sends a second detection result message to the virtual reality improvement system, and the second detection result message is used to instruct the virtual reality improvement system to operate according to the speed detection threshold. The technical solutions of the embodiments of the present invention make the effect of improving the multi-object tracking capability better.

Description

Method and related device for improving multi-object tracking ability of virtual reality system

technical field

The invention relates to the field of virtual reality, in particular to a method and a related device for improving the multi-object tracking capability of a virtual reality system.

Background technique

With more and more objects that need to be observed in daily life, for example, athletes on a basketball court need to observe multiple opponents at the same time, and drivers need to observe rearview mirrors, road surfaces, pedestrians, traffic lights, etc. when driving, multi-object tracking is widely used. more and more widely.

At present, the method to improve the multi-object tracking ability is the multi-object tracking mode in 2D mode, or the 3D effect is presented through stereo glasses, but the stereo migration effect for the real scene is very poor, and in the current method of improving the multi-object tracking ability, only For a single dimension, the effect of improving multi-object tracking is poor.

Contents of the invention

Embodiments of the present invention provide a method and a related device for improving the multi-object tracking capability of a virtual reality system, so as to more effectively improve the multi-object tracking capability.

The first aspect of the present invention provides a method for improving the multi-object tracking capability of a virtual reality system. The virtual reality system includes a virtual reality detection system, a virtual reality improvement system, and a behavior performance evaluation system, including:

The behavior performance evaluation system obtains the speed detection data, number detection data and time detection data obtained by the virtual reality detection system from the three dimensions of speed, number and time to track and detect the user's multi-objects;

The behavior performance evaluation system analyzes the speed detection data, the number detection data and the time detection data respectively to obtain the speed detection threshold, the number detection threshold and the time detection threshold for the user to track multiple objects;

The behavior performance evaluation system sends a first detection result message to the virtual reality detection system, wherein the first detection result message carries the speed detection threshold, the number detection threshold and the time detection threshold, The first detection result message is used to instruct the virtual reality detection system to generate a detection result interface, and the detection result interface is used to display the speed detection threshold, the number detection threshold and the time detection threshold;

The behavior performance assessment system sends a second detection result message to the virtual reality enhancement system, wherein the second detection result message carries the speed detection threshold, and the second detection result message is used to indicate that the virtual reality A reality enhancement system operates according to the speed detection threshold to enhance the multi-object tracking capability of the user.

The second aspect of the present invention provides a virtual reality system that improves multi-object tracking capabilities, including:

The virtual reality detection system is used to perform multi-object tracking detection on the user from the three dimensions of speed, number and time to obtain speed detection data, number detection data and time detection data, and generate a detection result interface. The detection result interface uses Used to display speed detection threshold, number detection threshold and time detection threshold;

The behavior performance evaluation system is used to obtain the speed detection data, number detection data and time detection data obtained by the virtual reality detection system from the three dimensions of speed, number and time for the user to track and detect multiple objects, respectively. The speed detection data, the number detection data and the time detection data are analyzed to obtain the speed detection threshold, the number detection threshold and the time detection threshold of the user tracking multiple objects, and the first A detection result message is sent to the virtual reality detection system, wherein the first detection result message carries the speed detection threshold, the number detection threshold and the time detection threshold, and the first detection result message is used for instructing the virtual reality detection system to generate the detection result interface, and sending a second detection result message to the virtual reality enhancement system, wherein the second detection result message carries the speed detection threshold, and the second detection result message The result message is used to instruct the virtual reality enhancement system to operate according to the speed detection threshold to enhance the multi-object tracking capability of the user;

A virtual reality enhancement system, configured to operate according to the speed detection threshold to enhance the multi-object tracking ability of the user.

A third aspect of the present invention provides a computer-readable storage medium, where the computer-readable storage medium is used for storing a computer program, and the computer program is executed by the processor to implement any of the above implementation manners.

It can be seen that the virtual reality detection system performs multi-object tracking detection on users from the three dimensions of speed, number and time to obtain speed detection data, number detection data and time detection data. The number detection data and time detection data are analyzed to obtain the speed detection threshold, number detection threshold and time detection threshold for users to track multiple objects. The virtual reality detection system displays the speed detection threshold, number detection threshold and time on the detection result interface The detection threshold, the virtual reality enhancement system runs according to the speed detection threshold to improve the user's multi-object tracking ability, so that the user can use the virtual reality system to use the computer-simulated three-dimensional space to perform multi-object tracking, and it is easier to migrate to the real scene, and from Multi-object tracking training for users in the three dimensions of speed, number and time can improve the user's multi-object tracking ability in multiple dimensions, and the effect of improving multi-object tracking ability is better.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts.

FIG. 1 is a flow chart of a method for improving multi-object tracking capabilities of a virtual reality system provided by an embodiment of the present invention;

FIG. 2 is a flow chart of another method for improving the multi-object tracking capability of a virtual reality system provided by an embodiment of the present invention;

Fig. 3 is a flow chart of another method for improving multi-object tracking capability of a virtual reality system provided by an embodiment of the present invention

FIG. 4 is a schematic diagram of a virtual reality system for improving multi-object tracking capabilities provided by an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an electronic device in a hardware operating environment according to an embodiment of the present invention.

Detailed ways

Embodiments of the present invention provide a method and a related device for improving the multi-object tracking capability of a virtual reality system, so as to more effectively improve the multi-object tracking capability.

In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

Each will be described in detail below.

The terms "first", "second", "third", "fourth" and the like in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

In the embodiment of the present invention, the virtual reality system includes a virtual reality detection system, a virtual reality improvement system, and a behavior performance evaluation system. The virtual reality detection system is used to detect the user's multi-object tracking ability, and the behavior performance evaluation system is used to calculate and analyze the user's Multi-object tracking ability, the virtual reality enhancement system is used to train and improve the user's multi-object tracking ability.

Referring first to FIG. 1 , FIG. 1 is a flowchart of a method for improving multi-object tracking capability of a virtual reality system according to an embodiment of the present invention. Wherein, as shown in FIG. 1 , a method for improving the multi-object tracking capability of a virtual reality system provided by an embodiment of the present invention may include:

101. The behavior performance evaluation system obtains the speed detection data, number detection data and time detection data obtained by the virtual reality detection system from the three dimensions of speed, number and time to track and detect users with multiple objects.

The virtual reality detection system performs multi-object tracking and detection on the user from the three dimensions of speed, number and time, and obtains speed detection data, number detection data and time detection data. The unit of speed is 10cm/s, and the unit of number The unit is unit, and the unit of time is s.

Among them, when performing multi-object tracking detection on the user from the dimension of speed, the total number of tracking objects, the number of tracking targets and the time of tracking targets are fixed, and the initial value of the tracking target speed, the total number of tracking objects, and the number of tracking targets and the tracking target time are set by the user. Specifically, when the user enters the virtual reality detection system, the user inputs the initial value of the tracking target speed, the total number of tracking objects, the number of tracking targets, and the tracking target time, and then the virtual reality training system performs multi- The object is tracked and detected to obtain speed detection data satisfying the first preset rule, and the speed detection data includes the speed of the tracking target each time the user is tracked and detected with multiple objects.

Optionally, when the virtual reality detection system uses the psychophysical ladder method to perform multi-object tracking and detection on the user, the first preset rules include:

The initial value of the first tracking target speed of the virtual reality detection system, the total number of tracking objects, the number of tracking targets and the tracking target time are preset by the user, wherein the total number of tracking objects, the number of tracking targets and the tracking time of the virtual reality detection system unchanged, when the results of M times of multi-object tracking tests performed by the user under the initial value of the first tracking target speed are all correct, the tracking target speed of the virtual reality detection system is updated to be the same as the first tracking target speed initial value and the first tracking The sum of the first preset ratios of the target speed initial value, M is 2 or 3, and the first preset ratio is 10%. When the user performs a multi-object tracking detection under the first tracking target speed initial value When the result fails, the tracking target speed of the virtual reality detection system is updated to the difference between the initial value of the first tracking target speed and the first preset ratio of the first tracking target speed initial value, wherein a correct result indicates that all the tracking target selections are correct .

Among them, when the multi-object tracking detection is performed on the user from the dimension of number, the speed of the tracking target, the total number of tracking objects and the time of tracking the target are fixed, and the initial value of the number of tracking targets, the speed of the tracking target, and the total number of tracking objects and the tracking target time are set by the user. Specifically, when the user enters the virtual reality detection system, the user inputs the initial value of the number of tracking targets, the speed of the tracking target, the total number of tracking objects, and the tracking target time, and then the virtual reality training system performs multiple The object is tracked and detected to obtain the number detection data satisfying the second preset rule, and the number detection data includes the number of tracking targets each time the user is tracked and detected with multiple objects.

Optionally, when the virtual reality detection system uses the psychophysical ladder method to perform multi-object tracking and detection on the user, the second preset rules include:

The tracking target speed, the total number of tracking objects, the initial value of the tracking target number and the tracking target time of the virtual reality detection system are preset by the user, wherein the tracking target speed, the total number of tracking objects and the tracking target time of the virtual reality detection system remain unchanged. When the results of M times of multi-object tracking tests performed by the user under the initial value of the number of tracking targets are all correct, the number of tracking targets of the virtual reality detection system is updated to the sum of the initial value of the number of tracking targets and 1, and M is 2 Or 3, when the user fails to perform a multi-object tracking detection under the initial value of the number of tracking targets, the number of tracking targets of the virtual reality detection system is updated to the difference between the initial value of the number of tracking targets and 1, wherein, A correct result indicates that all tracking targets are selected correctly.

Among them, when multi-object tracking detection is performed on the user from the time dimension, the speed of the tracking target, the total number of tracking objects and the number of tracking targets are fixed, and the initial value of the tracking target time, the speed of the tracking target, the total number of tracking objects and The number of tracking targets is set by the user. Specifically, when the user enters the virtual reality detection system, the user inputs the initial value of the tracking target time, the speed of the tracking target, the total number of tracking objects, and the number of tracking targets, and then the virtual reality training system performs multiple The object is tracked and detected to obtain time detection data satisfying the third preset rule, and the time detection data includes the time of the tracking target each time the user is tracked and detected with multiple objects.

Optionally, when the virtual reality detection system uses the psychophysical ladder method to perform multi-object tracking and detection on the user, the third preset rule includes:

The tracking target speed, the total number of tracking objects, the number of tracking targets and the initial value of the tracking target time of the virtual reality detection system are preset by the user, wherein the tracking target speed, the total number of tracking objects and the number of tracking targets of the virtual reality detection system remain unchanged , when the results of M times of multi-object tracking tests performed by the user under the initial value of the tracking target time are all correct, the tracking target time of the virtual reality detection system is updated to the sum of the initial value of the tracking target time and 0.5, and M is 2 or 3 , when the user fails to perform a multi-object tracking detection result under the initial value of the tracking target time, the tracking target time of the virtual reality detection system is updated to the difference between the initial tracking target time value and 0.5, where the correct result indicates the tracking target Select all correct.

Optionally, before the behavior performance evaluation system obtains the speed detection data, number detection data and time detection data obtained from the multi-object tracking and detection of the user by the virtual reality detection system from the three dimensions of speed, number and time, the behavior performance evaluation The system acquires the user's first identity information, wherein the first identity information includes the user's name, gender, age, and right-handedness. Specifically, when the user enters the virtual reality detection system, the user enters the first identity information, including name, gender , age, and right-handedness, and then the virtual reality detection system sends the user's first identity information to the behavior performance evaluation system, and the behavior performance evaluation system receives the user's first identity information and stores the user's first identity information in the database , optionally, the database can be stored in the local disk of the computer, or can be stored in storage media such as flash disks and optical discs, and can also be stored in the cloud through the Internet, which can realize remote detection.

102. The behavior performance evaluation system respectively analyzes the speed detection data, the number detection data and the time detection data to obtain the speed detection threshold, number detection threshold and time detection for the user to track multiple objects threshold.

Among them, when the behavioral performance evaluation system analyzes the speed detection data, the behavioral performance evaluation system calculates the average speed of the tracking target speed of the first five virtual reality detection systems at turning points in the speed detection data, and the average speed is the speed detection threshold , where the speed at the turning point is different from the next speed, and the point of continuous rise or fall is not the turning point. When M is 2, the obtained speed detection threshold is the speed detection threshold corresponding to 70% correct rate. When M is 3, The obtained speed detection threshold is the speed detection threshold corresponding to the correct rate of 79%.

Among them, when the behavior performance evaluation system analyzes the number detection data, the behavior performance evaluation system calculates the average number of tracking targets of the first five virtual reality detection systems at turning points in the number detection data, and the average number The value is the number detection threshold, where the number at the turning point is different from the next number, and the point of continuous rise or decline is not the turning point. When M is 2, the obtained number detection threshold is 70% corresponding to the correct rate For the number detection threshold, when M is 3, the obtained number detection threshold is the number detection threshold corresponding to a 79% accuracy rate.

Among them, when the behavior performance evaluation system analyzes the time detection data, the behavior performance evaluation system calculates the time average value of the tracking target time of the first five virtual reality detection systems at turning points in the time detection data, and the time average value is the time detection threshold , where the time at the turning point is different from the next time, and the point of continuous rise or fall is not the turning point. When M is 2, the time detection threshold obtained is the time detection threshold corresponding to the 70% correct rate. When M is 3, The obtained time detection threshold is the time detection threshold corresponding to the correct rate of 79%.

Optionally, after the behavior performance evaluation system analyzes the speed detection data, number detection data and time detection data to obtain the speed detection threshold, number detection threshold and time detection threshold for the user to track multiple objects, the behavior performance evaluation system will The speed detection threshold, number detection threshold and time detection threshold are associated with the user's first identity information and stored in the database.

103. The behavior performance evaluation system sends a first detection result message to the virtual reality detection system, wherein the first detection result message carries the speed detection threshold, the number detection threshold and the time detection threshold, the first detection result message is used to instruct the virtual reality detection system to generate a detection result interface, and the detection result interface is used to display the speed detection threshold, the number detection threshold and the time detection threshold.

The behavior performance evaluation system sends the first detection result message to the virtual reality detection system. The first detection result message carries the speed detection threshold, the number detection threshold and the time detection threshold. After receiving the first detection result message, the virtual reality detection system generates The detection result interface, the detection result interface displays the speed detection threshold, the number detection threshold and the time detection threshold.

Optionally, in addition to displaying the speed detection threshold, the number detection threshold and the time detection threshold, when performing multi-object tracking detection on the user, the virtual reality detection system also generates a dynamic display interface, which is used to display the current tracking target speed , tracking target number and tracking target time.

104. The behavior performance evaluation system sends a second detection result message to the virtual reality enhancement system, wherein the second detection result message carries the speed detection threshold, and the second detection result message is used to indicate the The virtual reality enhancement system operates according to the speed detection threshold to enhance the multi-object tracking ability of the user.

Before the behavior performance evaluation system sends the second detection result message to the virtual reality promotion system, the behavior performance evaluation system receives the first running message sent by the virtual reality promotion system, wherein the first running message carries the user's second identity information, and the second The identity information includes the user's name, gender, age, and right-handedness. The behavior performance assessment system searches the database for the first identity information that matches the second identity information, and the behavior performance assessment system obtains and stores the first identity information in the database. speed detection threshold.

Wherein, the behavior achievement evaluation system sends the second detection result message to the virtual reality improvement system, and the second detection result message carries the speed detection threshold value. 2. The initial value of the speed of the tracking target. The initial value of the second tracking target speed is the second preset ratio of the speed detection threshold. The total number of objects, the number of tracking targets and the tracking time of the target are preset by the virtual reality enhancement system.

Further, the behavior performance evaluation system obtains the speed improvement data obtained by the virtual reality improvement system using the psychophysical ladder method to improve the multi-object tracking of the user, wherein the speed improvement data includes the virtual reality when the user performs multi-object tracking improvement each time. The tracking target speed of the reality enhancement system, the behavior performance evaluation system determines the tracking target speed of the first virtual reality enhancement system at the turning point in the speed improvement data, and the tracking target speed of the first virtual reality enhancement system at the turning point is the user's speed Raise the threshold, where the speed at the turning point is different from the next speed, and the point of continuous rising or falling is not the turning point.

When the speed promotion threshold is greater than the preset speed promotion threshold, the behavior performance evaluation system sends the third detection result message to the virtual reality promotion system, the third detection result message carries the speed detection threshold, and the virtual reality promotion system adjusts the running speed according to the speed detection threshold The initial value of the speed of the third tracking target, wherein, the preset speed increase threshold is the third preset ratio of the speed detection threshold, and the initial value of the third tracking target speed is the fourth preset ratio of the speed detection threshold, the virtual reality promotion system The psychophysical ladder method is used to perform multi-object tracking enhancement on the user, wherein the total number of tracking objects, the number of tracking targets and the tracking target time of the virtual reality enhancement system are preset by the virtual reality enhancement system.

When the speed increase threshold is not greater than the preset speed increase threshold, the behavioral performance evaluation system uses the second tracking target speed start value, the total number of tracking objects of the virtual reality improvement system preset by the virtual reality improvement system, the number of tracking targets and the tracking The target time is associated with the user's second identity information and stored in the database.

Further, when the user re-enters the virtual reality enhancement system, the third identity information of the user is input, and the third identity information is sent to the behavior performance assessment system, and the behavior performance assessment system receives the user's third identity information sent by the virtual reality enhancement system. Information, wherein the third identity information includes the user's name, gender, age, and right-handedness, and the behavior performance evaluation system searches the database for the second identity information that matches the third identity information.

The behavior performance evaluation system obtains the initial value of the speed of the second tracking target stored in association with the second identity information, the total number of tracking objects, the number of tracking targets and the tracking time of the virtual reality enhancement system preset by the virtual reality enhancement system, and the behavior score The evaluation system sends the second operation message to the virtual reality enhancement system, wherein the second operation message carries the initial value of the speed of the second tracking target, the total number of tracking objects of the virtual reality enhancement system preset by the virtual reality enhancement system, and the number of tracking targets. number and tracking target time, the virtual reality improvement system will perform the tracking on the user according to the second tracking target speed initial value, the total number of tracking objects of the virtual reality improvement system preset by the virtual reality improvement system, the number of tracking targets and the tracking target time Improved multi-object tracking.

Referring to FIG. 2 , FIG. 2 is a flow chart of another method for improving multi-object tracking capability of a virtual reality system provided by another embodiment of the present invention. Wherein, as shown in FIG. 2 , another method for improving the multi-object tracking capability of a virtual reality system provided by another embodiment of the present invention may include:

201. A user inputs first identity information in a virtual reality detection system.

Among them, the first identity information includes the user's name, gender, age, and right-handedness. Specifically, when the user enters the virtual reality detection system, he inputs the first identity information, including name, gender, age, and right-handedness, and then virtual The reality detection system sends the user's first identity information to the behavior performance evaluation system, and the behavior performance evaluation system receives the user's first identity information and stores the user's first identity information in the database. Optionally, the database can be stored in The local disk of the computer can also be stored in storage media such as flash drives and CDs, and the database can also be stored in the cloud through the Internet, which can realize remote detection.

202. The virtual reality detection system performs multi-object tracking and detection on the user from the three dimensions of speed, number and time to obtain speed detection data, number detection data and time detection data.

Wherein, the unit of speed is 10cm/s, the unit of number is unit, and the unit of time is s.

Optionally, the tracking target movement range is within a cuboid with a length of 5 meters, a width of 5 meters, and a height of 3 meters. The distance between the center of the cuboid and the ground is 2.5 meters, and the distance from the tracking target to the user is within the range of 7.5-12.5 meters. Inside.

Optionally, when multi-object tracking detection is performed on the user, the starting positions of all tracking objects are random, and the color of the tracking target turns red for 3 seconds. When the tracking target starts to move, the color of the tracking target changes back to The same color as other tracking objects, the trajectory of the tracking objects is random, and the tracking objects will bounce off when they collide with each other. When the boundary bounces and stops the multi-object tracking detection for the user, the user selects the tracking target through the handle.

When the speed dimension detection instruction is received, the virtual reality detection system performs multi-object tracking detection on the user from the speed dimension. The total number of tracking objects, the number of tracking targets and the tracking time are set by the user. Specifically, when the user enters the virtual reality detection system, he inputs the initial value of the tracking target speed, the total number of tracking objects, the number of tracking targets and the tracking time of the target, and then The virtual reality training system performs multi-object tracking detection on the user to obtain speed detection data satisfying the first preset rule, and the speed detection data includes the speed of the tracking target each time the multi-object tracking detection is performed on the user.

Optionally, when the virtual reality detection system uses the psychophysical ladder method to perform multi-object tracking and detection on the user, the first preset rules include:

When the results of M times of multi-object tracking tests performed by the user under the initial value of the first tracking target speed are all correct, the tracking target speed of the virtual reality detection system is updated to be equal to the initial value of the first tracking target speed and the first tracking target speed. The sum of the first preset proportions of the initial value, M is 2 or 3, and the first preset proportion is 10%. When the user fails to perform a multi-object tracking detection under the initial value of the first tracking target speed , the tracking target speed of the virtual reality detection system is updated as the difference between the first tracking target speed initial value and the first preset ratio of the first tracking target speed initial value, wherein the correct result indicates that all the tracking target selections are correct.

When the number dimension detection instruction is received, when the virtual reality detection system performs multi-object tracking detection on the user from the number dimension, the speed of the tracking target, the total number of tracking objects and the time of tracking the target are fixed, and the number of tracking targets starts The initial value, the speed of the tracking target, the total number of tracking objects and the time of tracking the target are set by the user. Specifically, the user enters the initial value of the number of tracking targets, the speed of the tracking target, the total number of tracking objects and the time of tracking the target when entering the virtual reality detection system. , and then the virtual reality training system performs multi-object tracking detection on the user to obtain number detection data satisfying the second preset rule, and the number detection data includes the number of tracking targets each time the user performs multi-object tracking detection.

Optionally, when the virtual reality detection system uses the psychophysical ladder method to perform multi-object tracking and detection on the user, the second preset rules include:

When the results of M times of multi-object tracking tests performed by the user under the initial value of the number of tracking targets are all correct, the number of tracking targets of the virtual reality detection system is updated to the sum of the initial value of the number of tracking targets and 1, and M is 2 Or 3, when the user fails to perform a multi-object tracking detection under the initial value of the number of tracking targets, the number of tracking targets of the virtual reality detection system is updated to the difference between the initial value of the number of tracking targets and 1, wherein, A correct result indicates that all tracking targets are selected correctly.

When the time dimension detection instruction is received, when the virtual reality detection system performs multi-object tracking detection on the user from the time dimension, the speed of the tracking target, the total number of tracking objects and the number of tracking targets are fixed, and the tracking target time starts The value, the speed of the tracking target, the total number of tracking objects and the number of tracking targets are set by the user. Specifically, when the user enters the virtual reality detection system, input the initial value of the tracking target time, the speed of the tracking target, the total number of tracking objects and the number of tracking targets , and then the virtual reality training system performs multi-object tracking detection on the user to obtain time detection data satisfying the third preset rule, and the time detection data includes the tracking target time each time the user performs multi-object tracking detection.

Optionally, when the virtual reality detection system uses the psychophysical ladder method to perform multi-object tracking and detection on the user, the third preset rule includes:

When the results of M times of multi-object tracking tests performed by the user under the initial value of the tracking target time are correct, the tracking target time of the virtual reality detection system is updated to the sum of the initial value of the tracking target time and 0.5, and M is 2 or 3. When the user fails to perform a multi-object tracking detection under the initial value of the tracking target time, the tracking target time of the virtual reality detection system is updated to the difference between the initial value of the tracking target time and 0.5, and the correct result indicates that the tracking target is selected all right.

203. The virtual reality detection system sends the speed detection data, number detection data and time detection data to the behavior performance evaluation system.

204. The behavior performance evaluation system analyzes the speed detection data, the number detection data and the time detection data respectively to obtain the speed detection threshold, the number detection threshold and the time detection threshold for the user to track multiple objects.

Among them, when the behavioral performance evaluation system analyzes the speed detection data, the behavioral performance evaluation system calculates the average speed of the tracking target speed of the first five virtual reality detection systems at turning points in the speed detection data, and the average speed is the speed detection threshold , where the speed at the turning point is different from the next speed, and the point of continuous rise or fall is not the turning point. When M is 2, the obtained speed detection threshold is the speed detection threshold corresponding to 70% correct rate. When M is 3, The obtained speed detection threshold is the speed detection threshold corresponding to the correct rate of 79%.

Among them, when the behavior performance evaluation system analyzes the number detection data, the behavior performance evaluation system calculates the average number of tracking targets of the first five virtual reality detection systems at turning points in the number detection data, and the average number The value is the number detection threshold, where the number at the turning point is different from the next number, and the point of continuous rise or decline is not the turning point. When M is 2, the obtained number detection threshold is 70% corresponding to the correct rate For the number detection threshold, when M is 3, the obtained number detection threshold is the number detection threshold corresponding to a 79% accuracy rate.

Among them, when the behavior performance evaluation system analyzes the time detection data, the behavior performance evaluation system calculates the time average value of the tracking target time of the first five virtual reality detection systems at turning points in the time detection data, and the time average value is the time detection threshold , where the time at the turning point is different from the next time, and the point of continuous rise or fall is not the turning point. When M is 2, the time detection threshold obtained is the time detection threshold corresponding to the 70% correct rate. When M is 3, The obtained time detection threshold is the time detection threshold corresponding to the correct rate of 79%.

205. The behavior performance evaluation system stores the speed detection threshold, the number detection threshold and the time detection threshold in the database.

The behavior performance evaluation system associates the speed detection threshold, number detection threshold and time detection threshold with the user's first identity information and stores them in the database, and the speed detection threshold, number detection threshold and time detection threshold can be obtained according to the first identity information.

206. The behavior performance evaluation system sends the first detection result message to the virtual reality detection system.

Wherein, the first detection result message carries a speed detection threshold, a number detection threshold and a time detection threshold.

207. The virtual reality detection system generates a detection result interface.

Wherein, the detection result interface displays the speed detection threshold, the number detection threshold and the time detection threshold.

Optionally, in addition to displaying the speed detection threshold, the number detection threshold and the time detection threshold, when performing multi-object tracking detection on the user, the virtual reality detection system also generates a dynamic heart interface, and the dynamic display interface is used to display the current speed of the tracking target , tracking target number and tracking target time.

Referring to FIG. 3 , FIG. 3 is a flowchart of another method for improving multi-object tracking capability of a virtual reality system provided by another embodiment of the present invention. Wherein, as shown in FIG. 3 , another method for improving the multi-object tracking capability of a virtual reality system provided by another embodiment of the present invention may include:

301. The user inputs second identity information in the virtual reality enhancement system.

Wherein, the second identity information includes the user's name, gender, age, and right-handedness.

302. The behavior performance evaluation system receives the first running message sent by the virtual reality enhancement system.

Wherein, the first running message carries the second identity information of the user, the behavior performance assessment system searches the database for the first identity information matching the second identity information, and the behavior performance assessment system obtains the first identity information associated with the first identity information stored in the database. Speed detection threshold.

303. The behavior performance evaluation system sends the second detection result message to the virtual reality enhancement system.

Wherein, the second detection result message carries a speed detection threshold.

304. The virtual reality enhancement system operates according to the speed detection threshold.

When the virtual reality improvement system receives the second detection result message, it adjusts the initial value of the speed of the second tracking target during operation according to the speed detection threshold, and the initial value of the speed of the second tracking target is the second preset ratio of the speed detection threshold. The lifting system uses the psychophysical ladder method to track and improve users with multiple objects. The total number of tracking objects, the number of tracking targets and the tracking time of the virtual reality lifting system are preset by the virtual reality lifting system.

305. The behavior performance evaluation system obtains the speed improvement data obtained by the virtual reality improvement system using the psychophysical ladder method to track and improve users with multiple objects.

Wherein, the speed improvement data includes the tracking target speed of the virtual reality enhancement system each time the multi-object tracking improvement is performed on the user.

306. The behavior performance evaluation system determines the user's speed improvement threshold.

The behavior performance evaluation system determines the tracking target speed of the first virtual reality enhancement system at the turning point in the speed improvement data, and the tracking target speed of the first virtual reality enhancement system at the turning point is the user's speed improvement threshold. The speed is different from the next speed, and the point where it goes up or down continuously is not a turning point.

307. The behavior performance evaluation system judges whether the speed increase threshold is greater than a preset speed increase threshold.

Among them, the preset speed boost threshold is the third preset ratio of the speed detection threshold, and the starting value of the tracking target speed during runtime, the preset speed boost threshold, and the number of tracking targets and the tracking target time preset by the virtual reality boosting system are shown in the table 1, where the total number of tracked objects is twice the number of tracked targets.

Table 1 Parameters of virtual reality enhancement system operation

run Number of tracking targets track target time The initial value of the tracking target speed Preset Speed Boost Threshold 1 3 6 Speed detection threshold*1.25 Speed detection threshold*1.5 2 3 8 Speed detection threshold*1.25 Speed detection threshold*1.5 3 3 10 Speed detection threshold*1.25 Speed detection threshold*1.5 4 4 6 Speed detection threshold*1 Speed detection threshold*1.25 5 4 8 Speed detection threshold*1 Speed detection threshold*1.25 6 4 10 Speed detection threshold*1 Speed detection threshold*1.25 7 5 6 Speed detection threshold*0.75 Speed detection threshold*1 8 5 8 Speed detection threshold*0.75 Speed detection threshold*1 9 5 10 Speed detection threshold*0.75 Speed detection threshold*1 10 6 6 Speed detection threshold*0.5 Speed detection threshold*0.75 11 6 8 Speed detection threshold*0.5 Speed detection threshold*0.75 12 6 10 Speed detection threshold*0.5 Speed detection threshold*0.75 13 7 6 Speed detection threshold*0.25 Speed detection threshold*0.5 14 7 8 Speed detection threshold*0.25 Speed detection threshold*0.5 15 7 10 Speed detection threshold*0.25 Speed detection threshold*0.5

308. When the speed increase threshold is greater than the preset speed increase threshold, the virtual reality system continues to run.

The behavior performance evaluation system sends the third detection result message to the virtual reality improvement system, the third detection result message carries the speed detection threshold, and the virtual reality improvement system adjusts the initial value of the speed of the third tracking target according to the speed detection threshold, wherein, the first The initial value of the speed of the third tracking target is the fourth preset ratio of the speed detection threshold. The virtual reality enhancement system adopts the psychophysical ladder method to improve the user's multi-object tracking. Among them, the total number of tracking objects and the number of tracking targets of the virtual reality enhancement system and tracking target time are pre-set by the virtual reality enhancement system.

309. When the speed increase threshold is not greater than the preset speed increase threshold, the behavior performance evaluation system stores the current operating parameters of the virtual reality improvement system in the database.

Specifically, the behavior performance evaluation system associates the initial value of the speed of the second tracking target, the total number of tracking objects of the virtual reality enhancement system preset by the virtual reality enhancement system, the number of tracking targets, and the tracking target time with the second identity information of the user stored in the database.

Further, when the user re-enters the virtual reality enhancement system, the third identity information of the user is input, and the third identity information is sent to the behavior performance assessment system, and the behavior performance assessment system receives the user's third identity information sent by the virtual reality enhancement system. Information, wherein the third identity information includes the user's name, gender, age, and right-handedness, and the behavior performance evaluation system searches the database for the second identity information that matches the third identity information.

The behavior performance evaluation system obtains the initial value of the speed of the second tracking target stored in association with the second identity information, the total number of tracking objects, the number of tracking targets and the tracking time of the virtual reality enhancement system preset by the virtual reality enhancement system, and the behavior score The evaluation system sends the second operation message to the virtual reality enhancement system, wherein the second operation message carries the initial value of the speed of the second tracking target, the total number of tracking objects of the virtual reality enhancement system preset by the virtual reality enhancement system, and the number of tracking targets. number and tracking target time, the virtual reality improvement system will perform the tracking on the user according to the second tracking target speed initial value, the total number of tracking objects of the virtual reality improvement system preset by the virtual reality improvement system, the number of tracking targets and the tracking target time Improved multi-object tracking.

Referring to FIG. 4 , FIG. 4 is a schematic diagram of a virtual reality system for improving multi-object tracking capability provided by another embodiment of the present invention. Wherein, as shown in FIG. 4 , another embodiment of the present invention provides a virtual reality system for improving multi-object tracking capabilities that may include:

The virtual reality detection system 401 is used to perform multi-object tracking detection on the user from the three dimensions of speed, number and time to obtain speed detection data, number detection data and time detection data, and generate a detection result interface. The detection result interface It is used to display the speed detection threshold, number detection threshold and time detection threshold.

The behavior performance evaluation system 402 is used to obtain the speed detection data, number detection data and time detection data obtained by the virtual reality detection system from the three dimensions of speed, number and time for the user to track and detect multiple objects, respectively. The speed detection data, the number detection data and the time detection data are analyzed to obtain the speed detection threshold, the number detection threshold and the time detection threshold for the user tracking multiple objects, and the first A detection result message is sent to the virtual reality detection system, wherein the first detection result message carries the speed detection threshold, the number detection threshold and the time detection threshold, and the first detection result message uses Instructing the virtual reality detection system to generate the detection result interface, sending a second detection result message to the virtual reality enhancement system, wherein the second detection result message carries the speed detection threshold, and the second The detection result message is used to instruct the virtual reality enhancement system to operate according to the speed detection threshold to improve the multi-object tracking capability of the user.

The virtual reality improvement system 403 is configured to operate according to the speed detection threshold to improve the multi-object tracking ability of the user.

The specific embodiments of the virtual reality system for improving the multi-object tracking ability of the present invention are basically the same as the embodiments of the above-mentioned method for improving the multi-object tracking ability of the virtual reality system, and will not be repeated here.

Referring to FIG. 5 , FIG. 5 is a schematic structural diagram of an electronic device of a hardware operating environment involved in an embodiment of the present invention. Wherein, as shown in FIG. 5, the electronic device of the hardware operating environment involved in the embodiment of the present invention may include:

Processor 501, such as a CPU.

The memory 502, optionally, the memory may be a high-speed RAM memory, or a stable memory such as a disk memory.

The communication interface 503 is configured to realize connection and communication between the processor 501 and the memory 502 .

Those skilled in the art can understand that the structure of the electronic device shown in FIG. 5 does not constitute a limitation on the electronic device for improving the multi-object tracking capability of the virtual reality system, and may include more or less components than shown in the figure, or Combining certain parts, or different arrangements of parts.

As shown in FIG. 5 , the memory 502 may include an operating system, a network communication module, and a program for improving the multi-object tracking capability of the virtual reality system. The operating system is a program that manages and controls the electronic device hardware and software resources of the virtual reality system to improve the multi-object tracking capability, and supports the operation of the virtual reality system's program that improves the multi-object tracking capability and other software or programs. The network communication module is used to realize the communication among the various components inside the memory 502, as well as communicate with other hardware and software in the electronic device of the virtual reality system to enhance the multi-object tracking capability.

In the electronic device for improving the multi-object tracking capability of the virtual reality system shown in FIG. 5 , the processor 501 is used to execute the program for improving the multi-object tracking capability of the virtual reality system stored in the memory 502, and implement the following steps:

Obtain the speed detection data, number detection data and time detection data obtained by the virtual reality detection system from the three dimensions of speed, number and time to track and detect the user's multi-objects;

Analyzing the speed detection data, the number detection data and the time detection data respectively to obtain a speed detection threshold, a number detection threshold and a time detection threshold for the user to track multiple objects;

Sending a first detection result message to the virtual reality detection system, wherein the first detection result message carries the speed detection threshold, the number detection threshold and the time detection threshold, and the first detection result The message is used to instruct the virtual reality detection system to generate a detection result interface, and the detection result interface is used to display the speed detection threshold, the number detection threshold and the time detection threshold;

Sending a second detection result message to the virtual reality enhancement system, wherein the second detection result message carries the speed detection threshold, and the second detection result message is used to instruct the virtual reality enhancement system according to the Speed detection thresholds operate to enhance the user's multi-object tracking capabilities.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. Because of the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present invention. In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still understand the foregoing The technical solutions recorded in each embodiment are modified, or some of the technical features are replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (15)

1. A method for improving multi-object tracking capability of a virtual reality system, wherein the virtual reality system comprises a virtual reality detection system, a virtual reality improvement system and a behavior score evaluation system, and comprises the following steps:

the behavior achievement evaluation system acquires speed detection data, number detection data and time detection data which are obtained by the virtual reality detection system respectively performing multi-object tracking detection on the user from three dimensions of speed, number and time;

the behavior achievement evaluation system analyzes the speed detection data, the number detection data and the time detection data respectively to obtain a speed detection threshold, a number detection threshold and a time detection threshold of the user tracking multiple objects;

the behavior achievement evaluation system sends a first detection result message to the virtual reality detection system, wherein the first detection result message carries the speed detection threshold, the number detection threshold and the time detection threshold, the first detection result message is used for indicating the virtual reality detection system to generate a detection result interface, and the detection result interface is used for displaying the speed detection threshold, the number detection threshold and the time detection threshold;

and the behavior achievement evaluation system sends a second detection result message to the virtual reality lifting system, wherein the second detection result message carries the speed detection threshold value, and the second detection result message is used for indicating the virtual reality lifting system to operate according to the speed detection threshold value so as to improve the multi-object tracking capability of the user.

2. The method of claim 1, wherein before the performance evaluation system obtains speed detection data, number detection data, and time detection data obtained by the virtual reality detection system performing multi-object tracking detection on the user from three dimensions of speed, number, and time, respectively, the method comprises:

the behavior achievement evaluation system acquires first identity information of the user, wherein the first identity information comprises the name, the sex, the age and the right and left handedness of the user;

the behavioral score evaluation system stores first identity information of the user in a database.

3. The method of claim 2, wherein the obtaining, by the behavior achievement evaluation system, speed detection data, number detection data, and time detection data obtained by the virtual reality detection system performing multi-object tracking detection on the user from three dimensions of speed, number, and time comprises:

when the virtual reality detection system performs multi-object tracking detection on a user from a speed dimension, the behavior score evaluation system acquires speed detection data which meets a first preset rule and is obtained by performing multi-object tracking detection on the user by the virtual reality detection system, wherein the speed detection data comprises a tracking target speed of the virtual reality detection system each time the multi-object tracking detection is performed on the user;

when the virtual reality detection system performs multi-object tracking detection on a user from the dimension of a plurality of numbers, the behavior score evaluation system acquires the number detection data which is obtained by the virtual reality detection system through multi-object tracking detection on the user and meets a second preset rule, wherein the number detection data comprises the number of tracking targets of the virtual reality detection system when the virtual reality detection system performs multi-object tracking detection on the user every time;

when the virtual reality detection system carries out multi-object tracking detection on a user from the dimension of time, the behavior score evaluation system acquires time detection data which is obtained by the virtual reality detection system when the virtual reality detection system carries out multi-object tracking detection on the user and meets a third preset rule, wherein the time detection data comprises tracking target time of the virtual reality detection system when the user carries out multi-object tracking detection at each time.

4. The method according to claim 3, wherein when the virtual reality detection system performs multi-object tracking detection on the user by using a psychophysical staircase method, the first preset rule comprises:

a first tracking target speed initial value, a total number of tracking objects, a number of tracking targets and tracking target time of the virtual reality detection system are preset by the user, wherein the total number of tracking objects, the number of tracking targets and the tracking target time of the virtual reality detection system are unchanged;

when the results of the M times of multi-object tracking tests performed by the user under the first tracking target speed initial value are all correct, updating the tracking target speed of the virtual reality detection system to be the sum of the first tracking target speed initial value and a first preset proportion of the first tracking target speed initial value, wherein M is 2 or 3, and the first preset proportion is 10%;

when the user fails to perform the multi-object tracking detection for one time under the first tracking target speed initial value, the tracking target speed of the virtual reality detection system is updated to the difference between the first tracking target speed initial value and the first preset proportion of the first tracking target speed initial value.

5. The method according to claim 4, wherein the second preset rule comprises:

the tracking target speed, the total number of the tracked objects, the initial value of the number of the tracked objects and the tracking target time of the virtual reality detection system are preset by the user, wherein the tracking target speed, the total number of the tracked objects and the tracking target time of the virtual reality detection system are unchanged;

when the results of M times of multi-object tracking tests performed by the user under the initial value of the number of the tracking targets are correct, updating the number of the tracking targets of the virtual reality detection system to the sum of the initial value of the number of the tracking targets and 1, wherein M is 2 or 3;

and when the result of one-time multi-object tracking detection performed by the user under the initial value of the number of the tracking targets fails, updating the number of the tracking targets of the virtual reality detection system to be the difference between the initial value of the number of the tracking targets and 1.

6. The method according to claim 5, wherein the third preset rule comprises:

the tracking target speed, the total number of the tracked objects, the number of the tracked targets and the initial value of the tracking target time of the virtual reality detection system are preset by the user, wherein the tracking target speed, the total number of the tracked objects and the number of the tracked targets of the virtual reality detection system are unchanged;

when the results of M times of multi-object tracking tests performed by the user under the tracking target time initial value are all correct, updating the tracking target time of the virtual reality detection system to be the sum of the tracking target time initial value and 0.5, wherein M is 2 or 3;

and when the result of the multi-object tracking detection performed by the user at the initial tracking target time value fails, updating the tracking target time of the virtual reality detection system to be the difference between the initial tracking target time value and 0.5.

7. The method of any of claims 4 to 6, wherein the behavior achievement assessment system analyzing the speed detection data, the number detection data, and the time detection data to obtain a speed detection threshold, a number detection threshold, and a time detection threshold for the user to track multiple objects comprises:

when the speed detection data are analyzed by the behavior achievement evaluation system, the behavior achievement evaluation system calculates the speed average value of the tracking target speeds of the first five virtual reality detection systems at turning points in the speed detection data, and the speed average value is the speed detection threshold value;

when the behavior score evaluation system analyzes the number detection data, the behavior score evaluation system calculates the number average value of the number of the tracking targets of the virtual reality detection system at the turning point in the first five pieces of the number detection data, and the number average value is the number detection threshold;

when the behavior achievement evaluation system analyzes the time detection data, the behavior achievement evaluation system calculates the time average value of the tracking target time of the virtual reality detection system at the turning point in the first five time detection data, and the time average value is the time detection threshold value.

8. The method of claim 7, wherein the performance assessment system, after analyzing the speed detection data, the number detection data, and the time detection data to obtain a speed detection threshold, a number detection threshold, and a time detection threshold for the user to track multiple objects, respectively, comprises:

the behavioral achievement assessment system stores the speed detection threshold, the number detection threshold and the time detection threshold in association with first identity information of the user in the database.

9. The method of claim 8, wherein prior to the performance assessment system sending a second test result message to the virtual reality augmentation system, comprising:

the behavior achievement evaluation system receives a first operation message sent by the virtual reality promotion system, wherein the first operation message carries second identity information of the user, and the second identity information comprises the name, the gender, the age and the right and left handedness of the user;

the behavior achievement evaluation system searches the first identity information matched with the second identity information in the database;

the behavioral performance assessment system obtains the speed detection threshold stored in association with the first identity information in the database.

10. The method of claim 9, wherein the second detection result message instructing the virtual reality augmentation system to operate according to the speed detection threshold comprises:

the second detection result message is used for instructing the virtual reality hoisting system to adjust a running second tracking target speed initial value according to the speed detection threshold value, wherein the second tracking target speed initial value is a second preset proportion of the speed detection threshold value;

and carrying out multi-object tracking and lifting on the user by adopting a psychophysical ladder method, wherein the total number of the tracked objects, the number of the tracked targets and the tracking target time of the virtual reality lifting system are preset by the virtual reality lifting system.

11. The method of claim 10, further comprising:

the behavior achievement evaluation system acquires speed increasing data obtained by the virtual reality increasing system through carrying out multi-object tracking increasing on the user by adopting a psychophysical ladder method, wherein the speed increasing data comprises tracking target speed of the virtual reality increasing system when the user is subjected to multi-object tracking increasing each time;

the behavior achievement evaluation system determines a tracking target speed of the virtual reality lifting system at a first turning point in the speed lifting data, wherein the tracking target speed of the virtual reality lifting system at the first turning point is a speed lifting threshold value of the user;

when the speed increasing threshold is larger than a preset speed increasing threshold, the behavior achievement evaluation system sends a third detection result message to the virtual reality increasing system, wherein the third detection result message carries the speed detecting threshold, the third detection result message is used for indicating the virtual reality increasing system to adjust a third tracking target speed initial value according to the speed detecting threshold, the preset speed increasing threshold is a third preset proportion of the speed detecting threshold, and the third tracking target speed initial value is a fourth preset proportion of the speed detecting threshold;

and adopting a psychophysical ladder method to track and lift multiple objects of the user, wherein the total number of the tracked objects, the number of the tracked targets and the time of the tracked targets of the virtual reality lifting system are preset by the virtual reality lifting system.

12. The method of claim 11, further comprising:

and when the speed increasing threshold is not greater than the preset speed increasing threshold, the behavior achievement evaluation system stores the second tracking target speed initial value, the total number of the tracking objects of the virtual reality increasing system, the number of the tracking targets and the tracking target time, which are preset by the virtual reality increasing system, in the database in a correlation manner with the second identity information of the user.

13. The method of claim 12, further comprising:

the behavior achievement evaluation system receives third identity information of the user, which is sent by the virtual reality promotion system, wherein the third identity information comprises the name, the sex, the age and the right and left handedness of the user;

the behavior achievement evaluation system searches the second identity information matched with the third identity information in the database;

the behavior achievement evaluation system acquires a second tracking target speed initial value stored in association with the second identity information, and a total number of tracking objects, a number of tracking targets and a tracking target time of the virtual reality lifting system preset by the virtual reality lifting system;

and the behavior achievement evaluation system sends a second operation message to the virtual reality lifting system, wherein the second operation message carries the second tracking target speed initial value, the total number of the tracked objects, the number of the tracked targets and the tracking target time of the virtual reality lifting system, which are preset by the virtual reality lifting system, and the second operation message is used for indicating the virtual reality lifting system to track and lift the multiple objects of the user.

14. A virtual reality system that enhances multi-object tracking capability, comprising:

the virtual reality detection system is used for respectively carrying out multi-object tracking detection on the user from three dimensions of speed, number and time to obtain speed detection data, number detection data and time detection data and generating a detection result interface, and the detection result interface is used for displaying a speed detection threshold value, a number detection threshold value and a time detection threshold value;

a behavior achievement evaluation system, configured to obtain speed detection data, number detection data, and time detection data obtained by the virtual reality detection system performing multi-object tracking detection on a user from three dimensions of speed, number, and time, analyze the speed detection data, the number detection data, and the time detection data respectively to obtain the speed detection threshold, the number detection threshold, and the time detection threshold of the multi-object tracked by the user, and send a first detection result message to the virtual reality detection system, where the first detection result message carries the speed detection threshold, the number detection threshold, and the time detection threshold, the first detection result message is used to instruct the virtual reality detection system to generate the detection result interface, and send a second detection result message to the virtual reality promotion system, where the second detection result message carries the speed detection threshold, and the second detection result message is used to instruct the virtual reality promotion system to operate according to the speed detection threshold to promote the multi-object tracking capability of the user;

and the virtual reality lifting system is used for operating according to the speed detection threshold value so as to improve the multi-object tracking capability of the user.

15. A computer-readable storage medium, characterized in that the computer-readable storage medium is used to store a computer program, which is executed by a processor, to implement the method of any of claims 1 to 13.

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