CN109753911B - Method and related device for improving multi-object tracking capability of virtual reality system - Google Patents
Method and related device for improving multi-object tracking capability of virtual reality system Download PDFInfo
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Abstract
The invention relates to the field of virtual reality, and provides a method and a related device for improving multi-object tracking capability of a virtual reality system. A method of improving multi-object tracking capability of a virtual reality system includes: the behavior achievement evaluation system comprises speed detection data, number detection data and time detection data; analyzing by the behavior achievement evaluation system to obtain a speed detection threshold, a number detection threshold and a time detection threshold; the behavior score evaluation system sends a first detection result message to the virtual reality detection system, wherein the first detection result message is used for indicating the virtual reality detection system to generate a result detection interface for displaying a speed detection threshold value, a number detection threshold value and a time detection threshold value; and the behavior achievement evaluation system sends a second detection result message to the virtual reality lifting system, and the second detection result message is used for indicating the virtual reality lifting system to operate according to the speed detection threshold value. According to the technical scheme of the embodiment of the invention, the effect of improving the multi-object tracking capability is better.
Description
Technical Field
The invention relates to the field of virtual reality, in particular to a method for improving multi-object tracking capability of a virtual reality system and a related device.
Background
With more and more objects needing to be observed in daily life, for example, athletes on a basketball court need to observe a plurality of opponents at the same time, and drivers need to observe rearview mirrors, road surfaces, pedestrians, traffic lights and the like during driving, the multi-object tracking application is more and more extensive.
The existing method for improving the multi-object tracking capability is a multi-object tracking mode in a 2D mode, or a 3D effect is presented through stereo glasses, but the three-dimensional migration effect on a real scene is poor, and in the existing method for improving the multi-object tracking capability, the effect of improving the multi-object tracking capability is poor only aiming at a single dimension.
Disclosure of Invention
The embodiment of the invention provides a method and a related device for improving multi-object tracking capability of a virtual reality system, aiming at effectively improving the multi-object tracking capability.
The invention provides 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 score evaluation system acquires speed detection data, number detection data and time detection data which are obtained by the virtual reality detection system through carrying out 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, and the second detection result message is used for indicating the virtual reality lifting system to operate according to the speed detection threshold so as to improve the multi-object tracking capability of the user.
The invention provides a virtual reality system for improving the tracking capability of multiple objects, which comprises:
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 user tracking multi-object, 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 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.
A third aspect of the invention provides a computer-readable storage medium for storing a computer program for execution by the processor to implement any of the above embodiments.
The virtual reality detection system respectively tracks and detects multiple objects for a user from three dimensions of speed, number and time to obtain speed detection data, number detection data and time detection data, the behavior performance evaluation system respectively analyzes the speed detection data, the number detection data and the time detection data to obtain a speed detection threshold value, a number detection threshold value and a time detection threshold value of the user for tracking the multiple objects, the virtual reality detection system displays the speed detection threshold value, the number detection threshold value and the time detection threshold value on a detection result interface, and the virtual reality promotion system operates according to the speed detection threshold value to promote the multi-object tracking capability of the user, so that the user can track the multiple objects in a three-dimensional space simulated by the virtual reality system through a computer, the virtual reality detection system is easier to migrate to a real scene, and the multi-object tracking training is carried out on the user from the three dimensions of speed, number and time, the multi-object tracking capability of the user in the multiple dimensions can be promoted, and the effect of the multi-object tracking capability is improved.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
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;
fig. 2 is a flowchart of a method for improving tracking capability of multiple objects in another virtual reality system according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for improving tracking capability of multiple objects in another virtual reality system according to an embodiment of the present invention
FIG. 4 is a schematic diagram of a virtual reality system for improving multi-object tracking capability according to 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 Description
The embodiment of the invention provides a method and a related device for improving the multi-object tracking capability of a virtual reality system, so as to effectively improve the multi-object tracking capability.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The following are detailed descriptions.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, and in the above-described drawings, are used for distinguishing between different objects and not for describing a particular 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, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
In the embodiment of the invention, the virtual reality system comprises a virtual reality detection system, a virtual reality promotion system and an action score evaluation system, wherein the virtual reality detection system is used for detecting the multi-object tracking capability of a user, the action score evaluation system is used for calculating and analyzing the multi-object tracking capability of the user, and the virtual reality promotion system is used for training and promoting the multi-object tracking capability of the user.
Referring first to fig. 1, fig. 1 is a flowchart of a method for improving tracking capability of multiple objects of a virtual reality system according to an embodiment of the present invention. As shown in fig. 1, a method for improving multi-object tracking capability of a virtual reality system according to an embodiment of the present invention may include:
101. the behavior score evaluation system acquires speed detection data, number detection data and time detection data which are obtained by the virtual reality detection system through multi-object tracking detection on the user from three dimensions of speed, number and time.
The virtual reality detection system respectively carries 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, wherein the unit of the speed is 10cm/s, the unit of the number is s, and the unit of the time is s.
When the multi-object tracking detection is performed on the user from the dimension of the speed, the total number of the tracked objects, the number of the tracked targets and the tracking target time are fixed and unchanged, and the initial value of the tracking target speed, the total number of the tracked objects, the number of the tracked targets and the tracking target time are set by the user.
Optionally, when the virtual reality detection system adopts a psychophysical ladder method to perform multi-object tracking detection on the user, the first preset rule includes:
the method comprises the steps that a first tracking target speed initial value, a total number of tracking objects, the number of tracking targets and tracking target time of a virtual reality detection system are preset by a user, wherein the total number of the tracking objects, the number of the tracking targets and the tracking target time of the virtual reality detection system are unchanged, when the results of M times of multi-object tracking tests carried out by the user under the first tracking target speed initial value are all correct, the tracking target speed of the virtual reality detection system is updated to be the sum of a first tracking target speed initial value and a first preset proportion of the first tracking target speed initial value, M is 2 or 3, the first preset proportion is 10%, when the results of one time of multi-object tracking detection carried out by the user under the first tracking target speed initial value fail, the tracking target speed of the virtual reality detection system is updated to be the difference of the first tracking target speed initial value and the first preset proportion of the first tracking target speed initial value, and the correct results indicate that all tracking target selections are correct.
Specifically, when the user enters the virtual reality detection system, the initial value of the number of the tracking targets, the speed of the tracking targets, the total number of the tracking objects and the time of the tracking targets are input, then the virtual reality training system performs multi-object tracking detection on the user to obtain number detection data meeting a second preset rule, and the number detection data comprises the number of the tracking targets during each multi-object tracking detection on the user.
Optionally, when the virtual reality detection system adopts a psychophysical ladder method to perform multi-object tracking detection on the user, the second preset rule includes:
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 a 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 carried out by the user under the initial value of the number of the tracked objects are all correct, the number of the tracked objects of the virtual reality detection system is updated to be the sum of the initial value of the number of the tracked objects and 1, M is 2 or 3, when the results of one time of multi-object tracking detection carried out by the user under the initial value of the number of the tracked objects fail, the number of the tracked objects of the virtual reality detection system is updated to be the difference between the initial value of the number of the tracked objects and 1, and the correct results indicate that all the tracked objects are selected.
When the multi-object tracking detection is performed on the user from the time dimension, the tracking target speed, the total number of the tracked objects and the number of the tracked targets are fixed and unchanged, and the initial value of the tracking target time, the tracking target speed, the total number of the tracked objects and the number of the tracked targets are set by the user.
Optionally, when the virtual reality detection system adopts a psychophysical ladder method to perform multi-object tracking detection on the user, the third preset rule includes:
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 a 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 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, M is 2 or 3, when the results of one time of multi-object tracking detection performed by the user under the initial value of the tracking target time fail, 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 results indicate that all tracking targets are selected.
Optionally, before the behavior score evaluation system acquires speed detection data, number detection data and time detection data obtained by the virtual reality detection system through performing multi-object tracking detection on the user from three dimensions of speed, number and time, the behavior score evaluation system acquires first identity information of the user, wherein the first identity information includes name, gender, age and right and left handedness of the user.
102. And 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.
When the behavior achievement evaluation system analyzes the speed detection data, the behavior achievement evaluation system calculates a speed average value of tracking target speeds of the first five virtual reality detection systems at the turning points in the speed detection data, wherein the speed average value is a speed detection threshold value, the speed at the turning points is different from the next speed, and points of continuous rising or continuous falling are not turning points, when M is 2, the obtained speed detection threshold value is a speed detection threshold value corresponding to 70% of accuracy, and when M is 3, the obtained speed detection threshold value is a speed detection threshold value corresponding to 79% of accuracy.
When the behavior achievement evaluation system analyzes the number detection data, the behavior achievement evaluation system calculates the number average value of the number of tracking targets of the first five virtual reality detection systems at the turning points in the number detection data, wherein the number average value is a number detection threshold, the number of the turning points is different from the next number, the points which continuously rise or continuously fall are not the turning points, when M is 2, the obtained number detection threshold is a number detection threshold corresponding to 70% of accuracy, and when M is 3, the obtained number detection threshold is a number detection threshold corresponding to 79% of accuracy.
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 first five virtual reality detection systems at the turning points in the time detection data, the time average value is a time detection threshold value, wherein the time at the turning points is different from the next time, and the continuously rising or continuously falling point is not the turning point, when M is 2, the obtained time detection threshold value is a time detection threshold value corresponding to 70% of accuracy, and when M is 3, the obtained time detection threshold value is a time detection threshold value corresponding to 79% of accuracy.
Optionally, after 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 stores the speed detection threshold, the number detection threshold and the time detection threshold in association with the first identity information of the user in the database.
103. 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.
The behavior score evaluation system sends a first detection result message to the virtual reality detection system, the first detection result message carries a speed detection threshold value, a number detection threshold value and a time detection threshold value, the virtual reality detection system generates a detection result interface after receiving the first detection result message, and the detection result interface displays the speed detection threshold value, the number detection threshold value and the time detection threshold value.
Optionally, in addition to the display 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 further generates a dynamic display interface, where the dynamic display interface is used to display the current tracking target speed, the current tracking target number, and the current tracking target time.
104. 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, and the second detection result message is used for indicating the virtual reality lifting system to operate according to the speed detection threshold so as to improve the multi-object tracking capability of the user.
Before the behavior score evaluation system sends a second detection result message to the virtual reality promotion system, the behavior score 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, the second identity information comprises the name, the sex, the age and the right and left handedness of the user, the behavior score evaluation system searches a database for first identity information matched with the second identity information, and the behavior score evaluation system obtains a speed detection threshold value which is stored in association with the first identity information in the database.
The behavior score evaluation system sends a second detection result message to the virtual reality hoisting system, the second detection result message carries a speed detection threshold value, when the virtual reality hoisting system receives the second detection result message, a second tracking target speed initial value during operation is adjusted according to the speed detection threshold value, the second tracking target speed initial value is a second preset proportion of the speed detection threshold value, the virtual reality hoisting system carries out multi-object tracking hoisting on a user by adopting a psychophysical ladder method, and the total number of tracked objects, the number of tracked targets and the tracking target time of the virtual reality hoisting system are preset by the virtual reality hoisting system.
Further, the behavior achievement evaluation system obtains speed increasing data obtained by the virtual reality increasing system through adopting a psychophysical ladder method to track and increase multiple objects of the user, wherein the speed increasing data comprises a tracking target speed of the virtual reality increasing system when the multiple objects of the user are tracked and increased at each time, the behavior achievement evaluation system determines a tracking target speed of the virtual reality increasing system at a turning point in the speed increasing data, the tracking target speed of the virtual reality increasing system at the turning point is a speed increasing threshold value of the user, the speed at the turning point is different from the next speed, and the point of continuous increasing or continuous decreasing is not the turning point.
When the speed increasing threshold value is larger than the preset speed increasing threshold value, the behavior score evaluation system sends a third detection result message to the virtual reality increasing system, the third detection result message carries the speed detecting threshold value, the virtual reality increasing system adjusts a third tracking target speed initial value according to the speed detecting threshold value, wherein the preset speed increasing threshold value is a third preset proportion of the speed detecting threshold value, the third tracking target speed initial value is a fourth preset proportion of the speed detecting threshold value, the virtual reality increasing system adopts a psychophysical ladder method to perform multi-object tracking increasing on a user, and the total number of tracked objects, the number of tracked targets and the tracking target time of the virtual reality increasing system are preset by the virtual reality increasing system.
And when the speed increasing threshold value is not greater than the preset speed increasing threshold value, the behavior achievement evaluation system stores a second tracking target speed initial value, the total number of the tracked objects of the virtual reality increasing system preset by the virtual reality increasing system, the number of the tracked targets, the tracking target time and second identity information of the user in a database in a correlation mode.
Further, when the user reenters the virtual reality promoting system, inputting third identity information of the user, and sending the third identity information to the behavior achievement evaluating system, wherein the behavior achievement evaluating system receives the third identity information of the user sent by the virtual reality promoting system, the third identity information comprises the name, the sex, the age and the right and left handedness of the user, and the behavior achievement evaluating system searches 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 second identity information, the total number of tracked objects of the virtual reality lifting system preset by the virtual reality lifting system, the number of tracked targets and tracking target time, and 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 tracked objects of the virtual reality lifting system preset by the virtual reality lifting system, the number of tracked targets and the tracking target time, and the virtual reality lifting system carries out multi-object tracking lifting on the user according to the second tracking target speed initial value, the total number of tracked objects of the virtual reality lifting system preset by the virtual reality lifting system, the number of tracked targets and the tracking target time.
Referring to fig. 2, fig. 2 is a flowchart of a method for improving multi-object tracking capability of another virtual reality system according to another embodiment of the present invention. As shown in fig. 2, a method for improving multi-object tracking capability of another virtual reality system according to another embodiment of the present invention may include:
201. a user inputs first identity information at a virtual reality detection system.
The first identity information comprises the name, the sex, the age and the right and left handedness of a user, and specifically, when the user enters the virtual reality detection system, the first identity information is input and comprises the name, the sex, the age and the right and left handedness, then the virtual reality detection system sends the first identity information of the user to the behavior score evaluation system, the behavior score evaluation system receives the first identity information of the user and stores the first identity information of the user in a database, optionally, the database can be stored in a local magnetic disk of a computer or storage media such as a flash disk and an optical disk, and the database can be stored in a cloud end through the internet, so that remote detection can be realized.
202. The virtual reality detection system respectively carries 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.
Wherein the unit of the speed is 10cm/s, the unit of the number is one, and the unit of the time is s.
Optionally, the range of the tracked target motion is within a cuboid range with the length of 5 meters, the width of 5 meters and the height of 3 meters, the distance from the center of the cuboid to the ground is 2.5 meters, and the distance from the tracked target to the user is within a range of 7.5-12.5 meters.
Optionally, when the multi-object tracking detection is performed on the user, the starting positions of all tracked objects are random, the color of the tracked object is changed into red, the duration is 3s, when the tracked object starts to move, the color of the tracked object is changed back to the same color as that of other tracked objects, the motion track of the tracked object is random, the tracked objects bounce off when colliding with each other, the tracked objects bounce off when encountering a boundary, and the user selects the tracked object through the handle when stopping performing the multi-object tracking detection on the user.
When a speed dimension detection instruction is received, the virtual reality detection system performs multi-object tracking detection on a user from the dimension of the speed, the total number of the tracked objects, the number of the tracked objects and the tracking target time are fixed and unchanged, and the initial value of the tracking target speed, the total number of the tracked objects, the number of the tracked objects and the tracking target time are set by the user.
Optionally, when the virtual reality detection system adopts a psychophysical ladder method to perform multi-object tracking detection on the user, the first preset rule includes:
when the user performs M times of multi-object tracking tests under the first tracking target speed initial value, the tracking target speed of the virtual reality detection system is updated 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, M is 2 or 3, the first preset proportion is 10%, when the user fails to perform one time of multi-object tracking detection under the first tracking target speed initial value, the tracking target speed of the virtual reality detection system is updated to be the difference between the first tracking target speed initial value and the first preset proportion of the first tracking target speed initial value, and the result is correct and indicates that all tracking target selections are correct.
When a number dimension detection instruction is received, when the virtual reality detection system carries out multi-object tracking detection on a user from the dimension of the number, the tracking target speed, the total number of the tracked objects and the tracking target time are fixed and unchanged, and the initial value of the number of the tracked objects, the tracking target speed, the total number of the tracked objects and the tracking target time are set by the user.
Optionally, when the virtual reality detection system performs multi-object tracking detection on the user by using a psychophysical ladder method, the second preset rule includes:
when the user performs M times of multi-object tracking tests under the initial value of the number of the tracking targets, the number of the tracking targets of the virtual reality detection system is updated to be the sum of the initial value of the number of the tracking targets and 1, and M is 2 or 3.
When a time dimension detection instruction is received, when the virtual reality detection system carries out multi-object tracking detection on a user from the dimension of time, the tracking target speed, the total number of the tracked objects and the number of the tracked targets are fixed and unchanged, and the initial value of the tracking target time, the total number of the tracked objects and the number of the tracked targets are set by the user.
Optionally, when the virtual reality detection system adopts a psychophysical ladder method to perform multi-object tracking 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 tracking target time initial value are all correct, the tracking target time of the virtual reality detection system is updated to be the sum of the tracking target time initial value and 0.5, and M is 2 or 3, when the results of one time of multi-object tracking detection performed by the user under the tracking target time initial value fail, the tracking target time of the virtual reality detection system is updated to be the difference between the tracking target time initial value and 0.5, wherein the correct results indicate that all tracking target selections are correct.
203. And the virtual reality detection system sends the speed detection data, the number detection data and the time detection data to the behavior achievement evaluation system.
204. 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.
When the behavior achievement evaluation system analyzes the speed detection data, the behavior achievement evaluation system calculates a speed average value of tracking target speeds of the first five virtual reality detection systems at the turning points in the speed detection data, wherein the speed average value is a speed detection threshold value, the speed at the turning points is different from the next speed, and points of continuous rising or continuous falling are not turning points, when M is 2, the obtained speed detection threshold value is a speed detection threshold value corresponding to 70% of accuracy, and when M is 3, the obtained speed detection threshold value is a speed detection threshold value corresponding to 79% of accuracy.
When the behavior achievement evaluation system analyzes the number detection data, the behavior achievement evaluation system calculates the number average value of the number of tracking targets of the first five virtual reality detection systems at the turning points in the number detection data, wherein the number average value is a number detection threshold, the number of the turning points is different from the next number, the points which continuously rise or continuously fall are not the turning points, when M is 2, the obtained number detection threshold is a number detection threshold corresponding to 70% of accuracy, and when M is 3, the obtained number detection threshold is a number detection threshold corresponding to 79% of accuracy.
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 first five virtual reality detection systems at the turning points in the time detection data, the time average value is a time detection threshold value, wherein the time at the turning points is different from the next time, and the continuously rising or continuously falling point is not the turning point, when M is 2, the obtained time detection threshold value is a time detection threshold value corresponding to 70% of accuracy, and when M is 3, the obtained time detection threshold value is a time detection threshold value corresponding to 79% of accuracy.
205. The performance score evaluation system stores the speed detection threshold, the number detection threshold, and the time detection threshold in a database.
The behavior achievement evaluation system stores the speed detection threshold value, the number detection threshold value and the time detection threshold value in a database in a correlation mode with first identity information of the user, and the speed detection threshold value, the number detection threshold value and the time detection threshold value can be obtained according to the first identity information.
206. And the behavior achievement evaluation system sends the first detection result message to the virtual reality detection system.
The first detection result message carries a speed detection threshold, a number detection threshold and a time detection threshold.
207. And the virtual reality detection system generates a detection result interface.
And the detection result interface displays a speed detection threshold value, a number detection threshold value and a time detection threshold value.
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 further generates a dynamic mental interface, where the dynamic display interface is used to display the current tracking target speed, the current tracking target number, and the current tracking target time.
Referring to fig. 3, fig. 3 is a flowchart of a method for improving multi-object tracking capability of another virtual reality system according to another embodiment of the present invention. As shown in fig. 3, a method for improving multi-object tracking capability of another virtual reality system according to another embodiment of the present invention may include:
301. and the user inputs second identity information in the virtual reality lifting system.
Wherein the second identity information comprises the name, sex, age and right and left handedness of the user.
302. The behavior achievement evaluation system receives a first operation message sent by the virtual reality promotion system.
The first operation message carries second identity information of the user, the behavior achievement evaluation system searches the first identity information matched with the second identity information in the database, and the behavior achievement evaluation system obtains a speed detection threshold value stored in association with the first identity information in the database.
303. And the behavior achievement evaluation system sends a second detection result message to the virtual reality promotion system.
Wherein the second detection result message carries a speed detection threshold.
304. The virtual reality augmentation system operates according to a speed detection threshold.
When the virtual reality hoisting system receives the second detection result message, adjusting a second tracking target speed initial value during operation 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, the virtual reality hoisting system adopts a psychophysical ladder method to track and hoist multiple objects for the user, and the total number of the tracked objects, the number of the tracked targets and the tracking target time of the virtual reality hoisting system are preset by the virtual reality hoisting system.
305. The behavior score evaluation system acquires speed increasing data obtained by the virtual reality increasing system through adopting a psychophysical ladder method to track and increase multiple objects of the user.
The speed boost data includes a target-tracking speed of the virtual reality boost system at each time of multi-object tracking boost for the user.
306. The performance assessment system determines a speed boost threshold for the user.
The behavior achievement evaluation system determines a tracking target speed of a 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, the speed at the turning point is different from the next speed, and a point of continuous rising or continuous falling is not a turning point.
307. The behavior achievement evaluation system judges whether the speed increasing threshold value is larger than a preset speed increasing threshold value or not.
The preset speed increasing threshold is a third preset proportion of the speed detection threshold, the initial value of the tracking target speed, the preset speed increasing threshold and the number of tracking targets and the tracking target time preset by the virtual reality increasing system during operation are shown in table 1, wherein the total number of the tracking objects is twice of the number of the tracking targets.
TABLE 1 parameters of operation of a virtual reality lift system
| Operation of the device | Number of tracking targets | Tracking target time | Tracking target speed start value | Presetting a 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. And when the speed increasing threshold value is larger than the preset speed increasing threshold value, the virtual reality system continues to operate.
The behavior score evaluation system sends a third detection result message to the virtual reality lifting system, the third detection result message carries a speed detection threshold value, the virtual reality lifting system adjusts a third tracking target speed initial value according to the speed detection threshold value, wherein the third tracking target speed initial value is a fourth preset proportion of the speed detection threshold value, the virtual reality lifting system adopts a psychophysical ladder method to carry out multi-object tracking lifting on the user, and the total number of the tracked objects, the number of the tracked objects and the tracking target time of the virtual reality lifting system are preset by the virtual reality lifting system.
309. And when the speed increasing threshold value is not greater than the preset speed increasing threshold value, the behavior score evaluation system stores the current operation parameters of the virtual reality increasing system in the database.
Specifically, the behavior achievement evaluation system stores the second tracking target speed initial value, the total number of the tracked objects of the virtual reality hoisting system preset by the virtual reality hoisting system, the number of the tracked targets, the tracking target time and the second identity information of the user in a database in an associated manner.
Further, when the user reenters the virtual reality promoting system, inputting third identity information of the user, and sending the third identity information to the behavior achievement evaluating system, wherein the behavior achievement evaluating system receives the third identity information of the user sent by the virtual reality promoting system, the third identity information comprises the name, the sex, the age and the left and right handedness of the user, and the behavior achievement evaluating system searches 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 second identity information, the total number of tracked objects of the virtual reality lifting system preset by the virtual reality lifting system, the number of tracked targets and tracking target time, and 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 tracked objects of the virtual reality lifting system preset by the virtual reality lifting system, the number of tracked targets and the tracking target time, and the virtual reality lifting system carries out multi-object tracking lifting on the user according to the second tracking target speed initial value, the total number of tracked objects of the virtual reality lifting system preset by the virtual reality lifting system, the number of tracked targets and the tracking target time.
Referring to fig. 4, fig. 4 is a schematic diagram of a virtual reality system for improving multi-object tracking capability according to another embodiment of the present invention. As shown in fig. 4, a virtual reality system for improving tracking capability of multiple objects according to another embodiment of the present invention may include:
the virtual reality detection system 401 is configured to perform multi-object tracking detection on the user in 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, where the detection result interface is used to display a speed detection threshold, a number detection threshold, and a time detection threshold.
A behavior achievement evaluation system 402, 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 a speed detection threshold, a number detection threshold, and a 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 a 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 multi-object tracking capability of the user.
A virtual reality boost system 403, configured to operate according to the speed detection threshold to boost the multi-object tracking capability of the user.
The specific embodiment of the virtual reality system for improving the multi-object tracking capability of the present invention is substantially the same as the embodiments of the method for improving the multi-object tracking capability of the virtual reality system, and details thereof are not repeated herein.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device in a hardware operating environment according to an embodiment of the present invention. As shown in fig. 5, the electronic device of the hardware operating environment according to the embodiment of the present invention may include:
a processor 501, such as a CPU.
The memory 502 may alternatively be a high speed RAM memory or a stable memory such as a disk memory.
A communication interface 503 for implementing connection communication between the processor 501 and the memory 502.
Those skilled in the art will appreciate that the configuration of the electronic device shown in fig. 5 does not constitute a limitation of the electronic device of the virtual reality system that enhances multi-object tracking capability, and may include more or fewer components than those shown, or some components in combination, or a different arrangement of components.
As shown in fig. 5, the memory 502 may include an operating system, a network communication module, and a program for the virtual reality system to enhance multi-object tracking. The operating system is a program for managing and controlling hardware and software resources of the electronic device for improving the multi-object tracking capability of the virtual reality system, and supports the operation of the program for improving the multi-object tracking capability of the virtual reality system and other software or programs. The network communication module is used for realizing communication among the components in the memory 502 and communication with other hardware and software in the electronic device of the virtual reality system for improving the multi-object tracking capability.
In the electronic device for improving multi-object tracking capability of a virtual reality system shown in fig. 5, a processor 501 is configured to execute a program for improving multi-object tracking capability of a virtual reality system stored in a memory 502, and implement the following steps:
acquiring 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;
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 of the user tracking 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, 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 sending a second detection result message to the virtual reality hoisting system, wherein the second detection result message carries the speed detection threshold, and the second detection result message is used for indicating the virtual reality hoisting system to operate according to the speed detection threshold so as to promote the multi-object tracking capability of the user.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention. In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions 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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