CN112767767A - Virtual training system - Google Patents
Virtual training system Download PDFInfo
- Publication number
- CN112767767A CN112767767A CN202110127005.0A CN202110127005A CN112767767A CN 112767767 A CN112767767 A CN 112767767A CN 202110127005 A CN202110127005 A CN 202110127005A CN 112767767 A CN112767767 A CN 112767767A
- Authority
- CN
- China
- Prior art keywords
- training
- data
- unit
- virtual
- verified
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/003—Simulators for teaching or training purposes for military purposes and tactics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/016—Input arrangements with force or tactile feedback as computer generated output to the user
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/012—Walk-in-place systems for allowing a user to walk in a virtual environment while constraining him to a given position in the physical environment
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention is suitable for the technical field of virtual reality training and provides a virtual training system which comprises a single training unit, a communication unit and a server unit, wherein the communication unit is connected with the unit training unit and the server unit; the single training unit comprises training equipment and data acquisition equipment, training personnel train through the training equipment, and the data acquisition equipment acquires training data in the training process; the communication unit verifies the training data in the single training unit and sends the verified training data to the server unit; and the server unit establishes a training file based on each single training unit according to the verified training data. The invention is not limited by real environment, and is more suitable for military training.
Description
Technical Field
The invention relates to the technical field of virtual reality training, in particular to a virtual training system.
Background
Training is time consuming, expensive and potentially dangerous for armed forces, but as technology develops, military leaders are increasingly using VR (Virtual Reality) as a means to improve training efficiency and cost effectiveness. VR can provide an all-around immersive scene for military training, including task drills to field shooting practices.
However, most of the existing virtual reality training adopts an operation mode of a virtual reality game, namely training personnel use VR (virtual reality) head-mounted equipment and a handle carried by the training personnel to train, wherein the handle is simulated into a firearm, and a button can trigger the action of opening a gun in virtual content; in addition, because the visual field of the training personnel is obviously shielded by the VR equipment, the real surrounding environment cannot be seen, the training personnel easily touch the real objects around, and even can be injured under severe conditions.
Therefore, the existing virtual reality training mode is still limited to the real environment and is not suitable for military training.
Disclosure of Invention
The invention mainly aims to provide a dynamic network switching method, a dynamic network switching device and terminal equipment, and aims to solve the problems that a virtual reality training mode used in the prior art is poor in shooting simulation effect, and activities of training personnel are limited by a real environment, so that the method is not suitable for military training.
In order to achieve the above object, a first aspect of embodiments of the present invention provides a virtual training system, including a single training unit, a communication unit, and a server unit, where the communication unit is connected to the unit training unit and the server unit;
the single training unit comprises training equipment and data acquisition equipment, training personnel train through the training equipment, and the data acquisition equipment acquires training data in the training process;
the communication unit verifies the training data in the single training unit and sends the verified training data to the server unit;
the server unit establishes a training file based on each single training unit according to the verified training data;
the training equipment comprises a universal treadmill, a console and a VR head display;
the universal treadmill is used for providing a training field, the console is used for controlling a training process, and the VR head display is used for providing a training picture;
the data acquisition equipment comprises a motion capture kit, a force feedback kit and a simulation gun;
the training data comprises the actions of the characters captured by the action capture kit, the states of the characters obtained by the force feedback kit and the shooting operations of the characters obtained by the simulation gun.
Optionally, the motion capture kit further maps the captured action of the character into a training frame of the VR headset.
Optionally, a command unit is further included;
the command unit controls the generation of a virtual task, the generation of a virtual weather condition and the transmission of a training instruction in the single training unit;
the server unit also sends the training profile to the command unit.
Optionally, a central viewing unit is also included; the server unit also sends the training files to the central viewing unit so that the central viewing unit displays the training pictures and the training data of the single training unit.
Optionally, the communication unit verifies the training data in the single training unit, including:
dividing the training data into N data blocks;
the position information of the nth data block is N, wherein N is a positive integer, and N is a positive integer less than or equal to N;
sorting the data blocks according to information positions, and extracting the data blocks according to the order;
when the nth data block is extracted, if N is larger than or equal to 3, adding the value of the nth data block into the checksum of the (N-1) th data block and the (N-2) th data block, and calculating a new checksum until N is equal to N, and obtaining a final checksum;
if n is equal to 2, calculating the checksum of the 1 st data block and the 2 nd data block;
if n is equal to 1, extracting the 2 nd data block;
and judging whether the training data passes the verification or not according to the final verification sum.
Optionally, the determining whether the training data passes the check according to the final checksum includes:
if the final checksum is all 1, the training data passes the verification;
if the final checksum is not all 1, the training data is not verified.
Optionally, the server unit establishes a training profile based on each single training unit according to the verified training data, including:
based on each single training unit, carrying out filtering processing on the verified training data to obtain spatial position coordinate data;
extracting a characteristic value based on the spatial position coordinate data, and dividing the characteristic value according to a preset posture to obtain K characteristic data sets, wherein K is a positive integer;
scaling and quantizing the K feature data sets, and calculating mean vectors of the K feature data sets according to scaling and quantizing results to obtain generalized feature values;
acquiring a standard characteristic value, sequencing the generalized characteristic values according to the standard characteristic value, and dividing and grading the sequenced generalized characteristic values through a KNN algorithm;
and establishing a training file based on each single training unit according to the division result and the grading result.
Optionally, the filtering processing is performed on the verified training data, and includes:
and when filtering the verified training data, performing data error adjustment on the verified training data through Kalman filtering.
The embodiment of the invention provides a virtual training system, which comprises a plurality of single training units, a communication unit and a server unit, wherein each single training unit comprises training equipment and data acquisition equipment, and the training equipment comprises a universal treadmill, a control console and a VR head display; the data acquisition equipment comprises a motion capture kit, a force feedback kit and a simulation gun, and in the single training unit, training personnel can safely train various subjects on the universal treadmill by wearing the VR head display and the motion capture kit and the force feedback kit without being limited by a real environment.
Drawings
Fig. 1 is a schematic structural diagram of a virtual training system according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an implementation flow of training data verification according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an implementation process of creating a training file according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Suffixes such as "module", "part", or "unit" used to denote elements are used herein only for the convenience of description of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
As shown in fig. 1, the embodiment of the present invention provides a virtual training system 100, which includes a single training unit 10, a communication unit 20, and a server unit 30. The communication unit 20 is connected to the single training unit 10 and the server unit 30.
In the virtual training system 100, the single training unit 10 includes a training device through which a training person trains and a data acquisition device.
In the embodiment of the invention, the data acquisition equipment acquires training data in the training process, and the training equipment comprises a universal treadmill, a control console and a VR head display; the universal treadmill is used for providing a training field, the console is used for controlling a training process, and the VR head display is used for providing a training picture; therefore, the trainers train in the training environment provided by the universal running machine without being influenced by the real environment.
The data acquisition equipment comprises a motion capture kit, a force feedback kit and a simulation gun; the training data comprises the actions of the characters captured by the action capture kit, the states of the characters obtained by the force feedback kit and the shooting operations of the characters obtained by the simulation gun. Therefore, the training personnel can really experience the shooting process, thereby achieving the muscle memory effect required by military training.
In one embodiment, the motion capture suite also maps the captured human motion to the training picture displayed by the VR head, so that the phenomenon that students cannot see the physical and physical senses of themselves in virtual contents is avoided, and the sense of reality of training is increased.
In an exemplary embodiment of the present invention, the console is a vertical or cabinet type device, and a computer, a touch screen, a sound device, and other devices are built in the console. Training personnel can log in the training system through the control console, select training subjects, save training progress, review training effects and the like.
Illustratively, in the embodiment of the present invention, the force feedback kit is composed of a plurality of vibrating motors, and is used for sensing tactile feedback including physical bounce, explosion, limb touch, and the like during a training process, and acquiring a character state of a training person as training data.
In specific application, because training personnel can run, jump, walk and other actions at will on the universal treadmill, the training data type in the single training unit is many, the data volume is also big, consequently, in order to guarantee the stability and reliability of data, the check-up of data is indispensable.
In the embodiment of the present invention, the communication unit 20 is configured to verify training data in the single training unit 10, and send the verified training data to the server unit 30;
and the server unit 30 is used for establishing a training file based on each single training unit according to the verified training data. In a specific application, the training profile can feed back the training effect of the trainee.
In one embodiment, the virtual training system 100 further comprises a command unit; on one hand, the command unit controls the generation of virtual tasks, the generation of virtual weather conditions and the transmission of training instructions in the single training unit; on the other hand, the server unit also sends the training files to the command unit, so that the current training effect of the training personnel of the command list is adjusted, and training contents such as virtual task generation, virtual weather condition generation and the like in the single training unit are adjusted.
In one embodiment, the virtual training system 100 further comprises a central viewing unit; the server unit also sends the training files to the central viewing unit so that the central viewing unit displays the training pictures and the training data of the single training unit.
As shown in fig. 2, the embodiment of the present invention further describes in detail the implementation steps of verifying the training data in the single training unit 10 in the communication unit 20, which includes:
s201, dividing the training data into N data blocks;
the position information of the nth data block is N, wherein N is a positive integer, and N is a positive integer less than or equal to N;
s202, sorting the data blocks according to information positions, and extracting the data blocks according to the sequence;
s2031, when the nth data block is extracted, if N is greater than or equal to 3, adding the value of the nth data block into the checksum of the (N-1) th data block and the (N-2) th data block, calculating a new checksum, and obtaining a final checksum until N is equal to N;
s2032, if n is equal to 2, calculating the checksum of the 1 st data block and the 2 nd data block;
s2033, if n is equal to 1, extracting the 2 nd data block;
and S204, judging whether the training data passes the verification according to the final verification sum.
Through the steps S201 to S204, in the embodiment of the present invention, the checksum is used to verify the training data, and in the embodiment of the present invention, the position information is identified for each data block, so as to avoid the situation that the checksums of two data blocks after exchanging positions are the same value, thereby improving the accuracy of the verification.
As shown in fig. 3, the embodiment of the present invention further describes in detail implementation steps of establishing, in the server unit, a training file based on each single training unit according to the verified training data, where the implementation steps include:
s301, based on each single training unit, filtering the verified training data to obtain spatial position coordinate data.
In step S301, the filtering process performed on the verified training data may be mean filtering, low-pass filtering, or the like. In one embodiment, during the filtering process performed on the verified training data, data error adjustment is also performed on the verified training data through kalman filtering.
S302, extracting characteristic values based on the space position coordinate data, and dividing the characteristic values according to a preset posture to obtain K characteristic data sets, wherein K is a positive integer.
In step S302, the characteristic value extraction method used may be an LDA algorithm, in which characteristic values are extracted based on the spatial position coordinate data by the LDA algorithm, and actually, characteristic values are extracted for the character motion model and the gun model.
S303, carrying out scaling and quantization processing on the K feature data sets, and meanwhile, calculating the mean vector of the K feature data sets according to the scaling and quantization processing result to obtain a generalized feature value.
In the step S303, in the process of calculating the mean vector of the K feature data sets, an intra-class scattering matrix and a scattering matrix are obtained, and a generalized feature value is finally obtained according to the intra-class scattering matrix and the scattering matrix. The generalized eigenvalues represent a character motion model and a gun model of the trainee.
S304, obtaining a standard characteristic value, sorting the generalized characteristic values according to the standard characteristic value, and dividing and grading the sorted generalized characteristic values through a KNN algorithm.
In step S304, the standard eigenvalue may be obtained from an eigenvalue collected by an instructor, and in a KNN (K-nearest neighbor) algorithm, a distance between the standard eigenvalue and the generalized eigenvalue is mainly calculated, where the formula is as follows:
where d12 represents distance, and A and B are vectors of standard eigenvalues and vectors of generalized eigenvalues, the smaller d12 is, the closer to the instructor's motion specification.
S305, establishing a training file based on each single training unit according to the division result and the grading result.
Through the steps S301 to S305, it is possible to visually recognize the training effect and correct the tactical action, the action strategy, and the like of the trainee.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the foregoing embodiments illustrate the present invention in detail, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. A virtual training system is characterized by comprising a single training unit, a communication unit and a server unit, wherein the communication unit is connected with the unit training unit and the server unit;
the single training unit comprises training equipment and data acquisition equipment, training personnel train through the training equipment, and the data acquisition equipment acquires training data in the training process;
the communication unit verifies the training data in the single training unit and sends the verified training data to the server unit;
the server unit establishes a training file based on each single training unit according to the verified training data;
the training equipment comprises a universal treadmill, a console and a VR head display;
the universal treadmill is used for providing a training field, the console is used for controlling a training process, and the VR head display is used for providing a training picture;
the data acquisition equipment comprises a motion capture kit, a force feedback kit and a simulation gun;
the training data comprises the actions of the characters captured by the action capture kit, the states of the characters obtained by the force feedback kit and the shooting operations of the characters obtained by the simulation gun.
2. The virtual training system of claim 1, wherein the motion capture kit further maps captured human motion into a training screen of the VR headset.
3. The virtual training system of claim 1, further comprising a command unit; the command unit controls the generation of a virtual task, the generation of a virtual weather condition and the transmission of a training instruction in the single training unit;
the server unit also sends the training profile to the command unit.
4. The virtual training system of claim 1, further comprising a central viewing unit; the server unit also sends the training files to the central viewing unit so that the central viewing unit displays the training pictures and the training data of the single training unit.
5. The virtual training system of claim 1 wherein said communication unit verifies training data in said single training unit comprising:
dividing the training data into N data blocks;
the position information of the nth data block is N, wherein N is a positive integer, and N is a positive integer less than or equal to N;
sorting the data blocks according to information positions, and extracting the data blocks according to the order;
when the nth data block is extracted, if N is larger than or equal to 3, adding the value of the nth data block into the checksum of the (N-1) th data block and the (N-2) th data block, and calculating a new checksum until N is equal to N, and obtaining a final checksum;
if n is equal to 2, calculating the checksum of the 1 st data block and the 2 nd data block;
if n is equal to 1, extracting the 2 nd data block;
and judging whether the training data passes the verification or not according to the final verification sum.
6. The virtual training system of claim 5, wherein determining whether the training data passed the check based on the final checksum comprises:
if the final checksum is all 1, the training data passes the verification;
if the final checksum is not all 1, the training data is not verified.
7. The virtual training system of claim 1 wherein said server unit builds a training profile based on each of said single training units based on said verified training data, comprising:
based on each single training unit, carrying out filtering processing on the verified training data to obtain spatial position coordinate data;
extracting a characteristic value based on the spatial position coordinate data, and dividing the characteristic value according to a preset posture to obtain K characteristic data sets, wherein K is a positive integer;
scaling and quantizing the K feature data sets, and calculating mean vectors of the K feature data sets according to scaling and quantizing results to obtain generalized feature values;
acquiring a standard characteristic value, sequencing the generalized characteristic values according to the standard characteristic value, and dividing and grading the sequenced generalized characteristic values through a KNN algorithm;
and establishing a training file based on each single training unit according to the division result and the grading result.
8. The virtual training system of claim 7 wherein filtering the verified training data comprises:
and when filtering the verified training data, performing data error adjustment on the verified training data through Kalman filtering.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110127005.0A CN112767767B (en) | 2021-01-29 | 2021-01-29 | Virtual training system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110127005.0A CN112767767B (en) | 2021-01-29 | 2021-01-29 | Virtual training system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112767767A true CN112767767A (en) | 2021-05-07 |
| CN112767767B CN112767767B (en) | 2022-12-23 |
Family
ID=75703741
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110127005.0A Active CN112767767B (en) | 2021-01-29 | 2021-01-29 | Virtual training system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112767767B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020049950A1 (en) * | 2000-10-19 | 2002-04-25 | Loaiza Juan R. | Data integrity verification mechanism |
| US20040181561A1 (en) * | 2003-03-14 | 2004-09-16 | International Business Machines Corporation | Real time XML data update identification |
| CN105374251A (en) * | 2015-11-12 | 2016-03-02 | 中国矿业大学(北京) | Mine virtual reality training system based on immersion type input and output equipment |
| CN207895727U (en) * | 2017-08-25 | 2018-09-21 | 北京卓华信息技术股份有限公司 | Make exercising system |
| CN108694871A (en) * | 2018-05-22 | 2018-10-23 | 山东捷瑞数字科技股份有限公司 | A kind of more soldier's military training checking systems based on large space virtual reality |
| CN109343713A (en) * | 2018-10-31 | 2019-02-15 | 重庆子元科技有限公司 | A kind of human action mapping method based on Inertial Measurement Unit |
| CN208493190U (en) * | 2018-05-22 | 2019-02-15 | 重庆子元科技有限公司 | A kind of individual's universal treadmill of version single column VR |
| CN110309125A (en) * | 2019-06-24 | 2019-10-08 | 招商局金融科技有限公司 | Data verification method, electronic device and storage medium |
| CN110955545A (en) * | 2018-09-26 | 2020-04-03 | 深信服科技股份有限公司 | Data integrity checking method, system and related equipment |
| CN111581030A (en) * | 2020-05-13 | 2020-08-25 | 上海英方软件股份有限公司 | Data synchronization system and method based on difference data |
| CN111612106A (en) * | 2019-02-22 | 2020-09-01 | 阿里巴巴集团控股有限公司 | Position relation checking method, device, system and storage medium |
| CN112187558A (en) * | 2019-07-03 | 2021-01-05 | 腾讯科技（深圳）有限公司 | Data verification method and device and electronic equipment |
-
2021
- 2021-01-29 CN CN202110127005.0A patent/CN112767767B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020049950A1 (en) * | 2000-10-19 | 2002-04-25 | Loaiza Juan R. | Data integrity verification mechanism |
| US20040181561A1 (en) * | 2003-03-14 | 2004-09-16 | International Business Machines Corporation | Real time XML data update identification |
| CN105374251A (en) * | 2015-11-12 | 2016-03-02 | 中国矿业大学(北京) | Mine virtual reality training system based on immersion type input and output equipment |
| CN207895727U (en) * | 2017-08-25 | 2018-09-21 | 北京卓华信息技术股份有限公司 | Make exercising system |
| CN108694871A (en) * | 2018-05-22 | 2018-10-23 | 山东捷瑞数字科技股份有限公司 | A kind of more soldier's military training checking systems based on large space virtual reality |
| CN208493190U (en) * | 2018-05-22 | 2019-02-15 | 重庆子元科技有限公司 | A kind of individual's universal treadmill of version single column VR |
| CN110955545A (en) * | 2018-09-26 | 2020-04-03 | 深信服科技股份有限公司 | Data integrity checking method, system and related equipment |
| CN109343713A (en) * | 2018-10-31 | 2019-02-15 | 重庆子元科技有限公司 | A kind of human action mapping method based on Inertial Measurement Unit |
| CN111612106A (en) * | 2019-02-22 | 2020-09-01 | 阿里巴巴集团控股有限公司 | Position relation checking method, device, system and storage medium |
| CN110309125A (en) * | 2019-06-24 | 2019-10-08 | 招商局金融科技有限公司 | Data verification method, electronic device and storage medium |
| CN112187558A (en) * | 2019-07-03 | 2021-01-05 | 腾讯科技（深圳）有限公司 | Data verification method and device and electronic equipment |
| CN111581030A (en) * | 2020-05-13 | 2020-08-25 | 上海英方软件股份有限公司 | Data synchronization system and method based on difference data |
Non-Patent Citations (1)
| Title |
|---|
| 朱鹏举: "《计算机应用系统开发》", 30 April 1987 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112767767B (en) | 2022-12-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US5320538A (en) | Interactive aircraft training system and method | |
| CN111191599B (en) | Gesture recognition method, device, equipment and storage medium | |
| CN110428486B (en) | Virtual interaction fitness method, electronic equipment and storage medium | |
| KR101990790B1 (en) | System for collective collaboration training of ship based virtual reality | |
| KR101241120B1 (en) | Education method and the system about wiring using augmented reality | |
| CN108961910A (en) | A kind of VR fire drill device | |
| CN107551554A (en) | Indoor sport scene simulation system and method are realized based on virtual reality | |
| KR101917434B1 (en) | Furnace process virtual reality training system | |
| CN109545003A (en) | A kind of display methods, device, terminal device and storage medium | |
| CN113409651B (en) | Live broadcast body building method, system, electronic equipment and storage medium | |
| Echeverria et al. | KUMITRON: Artificial intelligence system to monitor karate fights that synchronize aerial images with physiological and inertial signals | |
| CN112767767B (en) | Virtual training system | |
| CN113593348A (en) | Virtual training control system, method, device, equipment and storage medium | |
| Jiang et al. | Reducing error rates with low-cost haptic feedback in virtual reality-based training applications | |
| CN114911340B (en) | Intelligent police command exercise system and method based on meta-universe system | |
| WO2022230504A1 (en) | Movement improvement device, movement improvement method, movement improvement program, and movement improvement system | |
| WO2021230101A1 (en) | Information processing device, information processing method, and program | |
| CN114282837A (en) | Physics chemical experiment teaching system | |
| CN114241595A (en) | Data processing method and device, electronic equipment and computer storage medium | |
| Hassan et al. | Effectiveness of a novel untethered augmented virtuality system for immersive industrial training | |
| Ramic-Brkic et al. | Developing a Virtual Reality (VR) Lab for Improving the Safety of Pyrotechnicians | |
| Wei et al. | Integrating Kinect and haptics for interactive STEM education in local and distributed environments | |
| CN117078976B (en) | Action scoring method, action scoring device, computer equipment and storage medium | |
| Paay et al. | Weight-Mate: Adaptive training support for weight lifting | |
| TWI789974B (en) | Assistance system and method for guiding exercise postures in live broadcast |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |