A method and system for adaptive body shape data matching for virtual reality

Abstract

The present invention discloses an adaptive body shape data matching method and system for virtual reality, which relates to the field of simulation testing. The method comprises: obtaining body shape information for subjective evaluation of a virtual human-machine based on a camera device; obtaining key dimensions of each part in the body shape information according to the acquired body shape information; matching a virtual human model that meets all key dimensions in a virtual human model database; outputting the matched virtual human model to complete adaptive body shape data matching. The present invention can effectively ensure the accuracy of the subjective evaluation results of the virtual human-machine.

Description

Technical Field

[0001] The present invention relates to the field of simulation testing, and in particular to an adaptive body shape data matching method and system for virtual reality. Background Art

[0002] With the rapid development of virtual reality technology and related hardware and software technologies, virtual reality technology has been increasingly widely used in the field of automotive product design and development. Because virtual reality technology has a strong sense of immersion and human-computer interactivity, it provides a better verification method for the early design and development of automobiles.

[0003] The results and process of subjective evaluation of virtual humans and machines require the correspondence between the evaluators and the virtual human bodies in virtual reality technology. However, it is currently difficult to quickly and automatically match the evaluators' body shapes to the corresponding virtual human bodies and automatically establish a mapping relationship, which greatly reduces the evaluation effect. Summary of the invention

[0004] In view of the defects existing in the prior art, the purpose of the present invention is to provide an adaptive body shape data matching method and system for virtual reality, which can effectively ensure the accuracy of the subjective evaluation results of virtual human-machine.

[0005] To achieve the above purpose, the present invention provides an adaptive body shape data matching method for virtual reality, which specifically includes the following steps:

[0006] Based on the camera equipment, the body shape information of the personnel for subjective evaluation of the virtual human machine is obtained;

[0007] According to the acquired body shape information, key dimensions of each part in the body shape information are obtained;

[0008] Matching and obtaining a virtual human body model that meets all key dimensions in a virtual human body model database;

[0009] The matched virtual human body model is output to complete the adaptive body shape data matching.

[0010] Based on the above technical solution, the camera device is a virtual reality CAVE camera capture system.

[0011] On the basis of the above technical solution, the body shape information of the person used for subjective evaluation of the virtual human-machine is obtained, specifically:

[0012] Based on the cameras arranged in front, behind and below the virtual human-machine subjective evaluator, the body shape information of the virtual human-machine subjective evaluator is obtained.

[0013] Based on the above technical solution, the key dimensions include body height, sitting height, upper arm length, forearm length, shoulder width and chest thickness.

[0014] On the basis of the above technical solution, the virtual human body model database stores a plurality of virtual human body models of different body types.

[0015] On the basis of the above technical solution, after obtaining the key dimensions of each part in the body shape information, it also includes:

[0016] The obtained multiple key dimensions are grouped, and each group includes multiple key dimensions;

[0017] Based on the importance of the key dimensions, the obtained groups are numbered in sequence.

[0018] On the basis of the above technical solution, the matching obtains a virtual human body model that satisfies all key dimensions in the virtual human body model database, specifically comprising the following steps:

[0019] Matching the key dimensions in the first group with the virtual human model database to obtain virtual human models in the virtual human model database that meet all the key dimensions in the first group, and selecting a preset number of virtual human models that are closest to the key dimensions;

[0020] Matching the key dimensions in the second group with the selected virtual human models, obtaining virtual human models that meet all the key dimensions in the second group among the selected virtual human models, and selecting a set number of closest virtual human models again;

[0021] Matching the key dimensions in the third group with the virtual human models selected again, obtaining virtual human models that meet all the key dimensions in the third group from the virtual human models selected again, and selecting a certain number of closest virtual human models again;

[0022] And so on, the key dimensions of all groups are matched until a virtual human model that meets all key dimensions is obtained, and finally a virtual human model that is closest to the virtual human model is selected as the matched virtual human model.

[0023] On the basis of the above technical solution, each time the key dimensions in each group are matched, the selected virtual human body models are reduced exponentially.

[0024] The present invention provides an adaptive body shape data matching system for virtual reality, comprising:

[0025] A body shape information acquisition module is used to acquire body shape information of a person used for subjective evaluation of a virtual human machine based on a camera device, and to obtain key dimensions of each part of the body shape information based on the acquired body shape information;

[0026] A virtual model data module, which is used to store virtual human models of different body types;

[0027] The matching calculation module is used to match the virtual human body model that meets all the key dimensions in the virtual model data module based on the key dimensions obtained by the body shape information acquisition module.

[0028] On the basis of the above technical solution, the matching calculation module is also used to output the matched virtual human body model to complete the adaptive body shape data matching.

[0029] Compared with the prior art, the advantages of the present invention are: by acquiring the body shape information of the person used for the subjective evaluation of the virtual human machine, and then obtaining the key dimensions of each part in the body shape information based on the acquired body shape information, based on the matching method, a virtual human model that meets all the key dimensions in the virtual human model database is matched, and then the virtual human model is output, the body shape of the evaluator is quickly and automatically matched to the corresponding virtual human model and a mapping relationship is automatically established, data synchronization evaluation is realized, the subjective evaluation experience is fed back to the design data, and the accuracy of the subjective evaluation results of the virtual human machine is effectively guaranteed. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 is a flow chart of an adaptive body shape data matching method for virtual reality in an embodiment of the present invention;

[0032] Figure 2 Schematic diagram of the structure of an adaptive body shape data matching system for virtual reality in an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The embodiment of the present invention provides an adaptive body shape data matching method for virtual reality, which obtains body shape information of a person for subjective evaluation of a virtual human machine, and then obtains the key dimensions of each part in the body shape information according to the acquired body shape information, matches a virtual human model that meets all key dimensions in a virtual human model database based on a matching method, and then outputs the virtual human model, quickly and automatically matches the body shape of the evaluator to the corresponding virtual human model and automatically establishes a mapping relationship, realizes data synchronous evaluation, and feeds back the subjective evaluation experience to the design data, effectively ensuring the accuracy of the subjective evaluation results of the virtual human machine. The embodiment of the present invention also provides an adaptive body shape data matching system for virtual reality accordingly.

[0034] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0035] See also Figure 1 As shown, an adaptive body shape data matching method for virtual reality provided by an embodiment of the present invention specifically includes the following steps:

[0036] S1: Based on the camera equipment, the body shape information of the person used for subjective evaluation of the virtual human machine is obtained;

[0037] In the embodiment of the present invention, the subjective evaluator used for the virtual human-machine is an evaluator in reality, which corresponds to the virtual human body model in the virtual reality technology.

[0038] In the embodiment of the present invention, the camera device is a virtual reality CAVE (Cave Automatic Virtual Environment) camera capture system, and the virtual reality CAVE camera capture system is used to automatically obtain the body shape information of the evaluator. The body shape information of the virtual human-machine subjective evaluator is obtained, specifically: based on the cameras set in front, behind and below the virtual human-machine subjective evaluator, the body shape information of the virtual human-machine subjective evaluator is obtained.

[0039] That is, the virtual reality CAVE camera capture system in the embodiment of the present invention includes 10 cameras, 4 of which are arranged on the upper front side of the evaluator, 2 on the lower side, and 4 on the upper and lower sides of the rear. The image information of the evaluator in the CAVE is obtained through the camera, and then the body shape information of the evaluator is obtained according to the obtained image information.

[0040] S2: According to the acquired body shape information, the key dimensions of each part in the body shape information are obtained. After the body shape information of the evaluator is obtained, several key dimensions of each part of the human body can be calculated and analyzed according to a computer program. The key dimensions are the dimensions of the parts that play a decisive role in the body shape of the human body. Specifically, the key dimensions in the embodiment of the present invention include height, sitting height, upper arm length, forearm length, shoulder width, chest thickness, etc.

[0041] S3: matching a virtual human model that meets all key dimensions in the virtual human model database;

[0042] In an embodiment of the present invention, a virtual human body model database stores multiple virtual human body models of different body types, specifically human body models of different human bodies in different countries, that is, multiple virtual human body models established corresponding to different human bodies in different countries, for example, human body models of 95% males, 50% males or 5% males, and human body models of 95% females, 50% females or 5% females in a certain country, and each human body model contains a number of key size data.

[0043] S4: Output the matched virtual human model to complete the adaptive body shape data matching. Quickly and automatically match the body shape of the evaluator to the corresponding virtual human model and automatically establish a mapping relationship, so as to realize the subjective evaluation experience related to the vehicle based on virtual reality technology and improve the ability to identify related problems.

[0044] In the embodiment of the present invention, after obtaining the key dimensions of each part in the body shape information, the method further includes:

[0045] S201: grouping the obtained multiple key dimensions, and each group includes multiple key dimensions;

[0046] S202: numbering the obtained groups in sequence based on the importance of the key dimensions. For example, for the body shape of a human body, height is the most direct influencing factor, followed by arm length, so height and sitting height can be placed in the first group, and upper arm length and forearm length can be placed in the second group.

[0047] In a possible implementation, the obtained multiple key dimensions are divided into n groups (n is a positive integer), and the groups are numbered from 1 to n in sequence according to the importance of the key dimensions, and each group includes 2 to 4 key dimensions.

[0048] In the embodiment of the present invention, matching to obtain a virtual human body model that meets all key dimensions in a virtual human body model database specifically includes the following steps:

[0049] S301: matching the key dimensions in the first group with the virtual human body model database, obtaining virtual human body models in the virtual human body model database that meet all the key dimensions in the first group, and selecting a preset number of virtual human body models that are closest to the key dimensions;

[0050] S302: matching the key dimensions in the second group with the selected virtual human models, obtaining virtual human models that meet all the key dimensions in the second group from the selected virtual human models, and selecting a set number of virtual human models that are closest to the key dimensions again;

[0051] S303: matching the key dimensions in the third group with the virtual human models selected again, obtaining virtual human models that meet all the key dimensions in the third group from the virtual human models selected again, and selecting a certain number of closest virtual human models again;

[0052] S304: Similarly, the key dimensions of all groups are matched until a virtual human model that meets all key dimensions is obtained, and finally a virtual human model that is closest to the virtual human model is selected as the matched virtual human model. It should be noted that each time the key dimensions of each group are matched, the selected virtual human model is reduced by multiples.

[0053] The above matching process is described in detail below.

[0054] The key dimensions in the first group are matched with the virtual human body model database to obtain virtual human body models in the virtual human body model database that meet all the key dimensions in the first group, and 3 (n-1) closest virtual human body models are selected therefrom; the key dimensions in the second group are matched with the selected 3 (n-1) virtual human body models to obtain virtual human body models in the selected virtual human body models that meet all the key dimensions in the second group, and 3 (n-2) closest virtual human body models are selected therefrom; the key dimensions in the third group are matched with the 3 (n-2) virtual human body models selected again to obtain virtual human body models in the selected virtual human body models that meet all the key dimensions in the third group, and 3 (n-3) closest virtual human body models are selected therefrom; and so on, after all n groups of key dimensions are matched, 1 virtual human body model is finally obtained, the body shape of the virtual human body model is closest to the body shape of the evaluator, so that a real and accurate simulation evaluation can be achieved.

[0055] The adaptive body shape data matching method of the embodiment of the present invention obtains the body shape information of the person who is used for the subjective evaluation of the virtual human machine, and then obtains the key dimensions of each part in the body shape information based on the obtained body shape information, and matches the virtual human model that meets all the key dimensions in the virtual human model database based on the matching method, and then outputs the virtual human model, quickly and automatically matches the body shape of the evaluator to the corresponding virtual human model and automatically establishes a mapping relationship, realizes data synchronous evaluation, and feeds back the subjective evaluation experience to the design data, effectively ensuring the accuracy of the subjective evaluation results of the virtual human machine.

[0056] An embodiment of the present invention provides a storage medium on which a computer program is stored. When the program is executed by a processor, the following steps are implemented:

[0057] Based on the camera equipment, the body shape information of the personnel for subjective evaluation of the virtual human machine is obtained;

[0058] According to the acquired body shape information, key dimensions of each part in the body shape information are obtained;

[0059] Matching and obtaining a virtual human body model that meets all key dimensions in a virtual human body model database;

[0060] The matched virtual human body model is output to complete the adaptive body shape data matching.

[0061] Specifically, the camera device is a virtual reality CAVE camera capture system. The body shape information of the virtual human-machine subjective evaluator is obtained, specifically: based on the cameras set in front, behind and below the virtual human-machine subjective evaluator, the body shape information of the virtual human-machine subjective evaluator is obtained. The key dimensions include height, sitting height, upper arm length, forearm length, shoulder width and chest thickness. The virtual human model database stores multiple virtual human models of different body shapes.

[0062] In the embodiment of the present invention, matching to obtain a virtual human body model that meets all key dimensions in a virtual human body model database specifically includes the following processes:

[0063] Matching the key dimensions in the first group with the virtual human model database to obtain virtual human models in the virtual human model database that meet all the key dimensions in the first group, and selecting a preset number of virtual human models that are closest to the key dimensions;

[0064] Matching the key dimensions in the second group with the selected virtual human models, obtaining virtual human models that meet all the key dimensions in the second group among the selected virtual human models, and selecting a set number of closest virtual human models again;

[0065] Matching the key dimensions in the third group with the virtual human models selected again, obtaining virtual human models that meet all the key dimensions in the third group from the virtual human models selected again, and selecting a certain number of closest virtual human models again;

[0066] And so on, the key dimensions of all groups are matched until a virtual human model that meets all key dimensions is obtained, and finally a virtual human model that is closest to the virtual human model is selected as the matched virtual human model.

[0067] By obtaining the body shape information of the person used for subjective evaluation of the virtual human machine, and then obtaining the key dimensions of each part in the body shape information based on the obtained body shape information, a virtual human body model that meets all the key dimensions in the virtual human body model database is matched based on the matching method, and then the virtual human body model is output, the body shape of the evaluator is quickly and automatically matched to the corresponding virtual human body model and a mapping relationship is automatically established, data synchronization evaluation is achieved, and the subjective evaluation experience is fed back to the design data, effectively ensuring the accuracy of the subjective evaluation results of the virtual human machine.

[0068] The storage medium may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device or device.

[0069] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0070] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0071] See also Figure 2 As shown, an embodiment of the present invention provides an adaptive body shape data matching system for virtual reality, including a body shape information acquisition module, a virtual model data module and a matching calculation module.

[0072] The body shape information acquisition module is used to obtain the body shape information of the person used for the subjective evaluation of the virtual human machine based on the camera equipment, and obtain the key dimensions of each part in the body shape information based on the obtained body shape information; the virtual model data module is used to store virtual human models of different body shapes; the matching calculation module is used to match the virtual human model that meets all the key dimensions in the virtual model data module based on the key dimensions obtained by the body shape information acquisition module. The matching calculation module is also used to output the matched virtual human model to complete the adaptive body shape data matching.

[0073] The adaptive body shape data matching system of the embodiment of the present invention further includes a motion capture module and a virtual reality evaluation module. The motion capture module is used to perform motion capture of the virtual human model when the virtual human model is used to perform vehicle-related virtual experience; the virtual reality evaluation module is used to perform virtual reality human-machine evaluation after the virtual human model performs vehicle-related virtual experience.

[0074] Specifically, the camera device is a virtual reality CAVE camera capture system. The body shape information of the virtual human-machine subjective evaluator is obtained, specifically: based on the cameras set in front, behind and below the virtual human-machine subjective evaluator, the body shape information of the virtual human-machine subjective evaluator is obtained. The key dimensions include height, sitting height, upper arm length, forearm length, shoulder width and chest thickness.

[0075] In an embodiment of the present invention, a virtual human body model database stores multiple virtual human body models of different body types, specifically human body models of different human bodies in different countries, that is, multiple virtual human body models established corresponding to different human bodies in different countries, for example, human body models of 95% males, 50% males or 5% males, and human body models of 95% females, 50% females or 5% females in a certain country, and each human body model contains a number of key size data.

[0076] In the embodiment of the present invention, after the key dimensions of each part in the body shape information are obtained, the method further includes: grouping the obtained multiple key dimensions, wherein each group includes multiple key dimensions; and numbering the obtained groups in sequence based on the importance of the key dimensions.

[0077] In the embodiment of the present invention, matching to obtain a virtual human body model that meets all key dimensions in a virtual human body model database specifically includes the following processes:

[0078] Matching the key dimensions in the first group with the virtual human model database to obtain virtual human models in the virtual human model database that meet all the key dimensions in the first group, and selecting a preset number of virtual human models that are closest to the key dimensions;

[0079] Matching the key dimensions in the second group with the selected virtual human models, obtaining virtual human models that meet all the key dimensions in the second group among the selected virtual human models, and selecting a set number of closest virtual human models again;

[0080] Matching the key dimensions in the third group with the virtual human models selected again, obtaining virtual human models that meet all the key dimensions in the third group from the virtual human models selected again, and selecting a certain number of closest virtual human models again;

[0081] And so on, the key dimensions of all groups are matched until a virtual human model that meets all key dimensions is obtained, and finally a virtual human model that is closest to the virtual human model is selected as the matched virtual human model.

[0082] The above matching process is described in detail below: the key dimensions in the first group are matched with the virtual human body model database to obtain a virtual human body model in the virtual human body model database that meets all the key dimensions in the first group, and 3 (n-1) closest virtual human body models are selected therefrom; the key dimensions in the second group are matched with the selected 3 (n-1) virtual human body models to obtain a virtual human body model in the selected virtual human body model that meets all the key dimensions in the second group, and 3 (n-2) closest virtual human body models are selected therefrom; the key dimensions in the third group are matched with the 3 (n-2) virtual human body models selected again to obtain a virtual human body model in the selected virtual human body model that meets all the key dimensions in the third group, and 3 (n-3) closest virtual human body models are selected therefrom; and so on, after all n groups of key dimensions are matched, 1 virtual human body model is finally obtained, the body shape of the virtual human body model is closest to the body shape of the evaluator, so that a real and accurate simulation evaluation can be achieved.

[0083] The adaptive body shape data matching system of the embodiment of the present invention obtains the body shape information of the person who is used for the subjective evaluation of the virtual human machine, and then obtains the key dimensions of each part in the body shape information based on the obtained body shape information, and matches the virtual human model that meets all the key dimensions in the virtual human model database based on the matching method, and then outputs the virtual human model, quickly and automatically matches the body shape of the evaluator to the corresponding virtual human model and automatically establishes a mapping relationship, realizes data synchronous evaluation, and feeds back the subjective evaluation experience to the design data, effectively ensuring the accuracy of the subjective evaluation results of the virtual human machine.

[0084] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

[0085] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

Claims

1. An adaptive body shape data matching method for virtual reality, characterized in that: The specific steps include: Based on the camera equipment, the body shape information of the personnel for subjective evaluation of the virtual human machine is obtained; According to the acquired body shape information, key dimensions of each part in the body shape information are obtained; Matching and obtaining a virtual human body model that meets all key dimensions in a virtual human body model database; Output the matched virtual human body model to complete the adaptive body shape data matching; Among them, after obtaining the key dimensions of each part of the body shape information, it also includes: The obtained multiple key dimensions are grouped, and each group includes multiple key dimensions; Based on the importance of the key dimensions, the obtained groups are numbered in turn; The matching to obtain a virtual human body model that meets all key dimensions in the virtual human body model database specifically includes the following steps: Matching the key dimensions in the first group with the virtual human model database to obtain virtual human models in the virtual human model database that meet all the key dimensions in the first group, and selecting a preset number of virtual human models that are closest to the key dimensions; Matching the key dimensions in the second group with the selected virtual human models, obtaining virtual human models that meet all the key dimensions in the second group among the selected virtual human models, and selecting a set number of closest virtual human models again; Matching the key dimensions in the third group with the virtual human models selected again, obtaining virtual human models that meet all the key dimensions in the third group from the virtual human models selected again, and selecting a certain number of closest virtual human models again; And so on, the key dimensions of all groups are matched until a virtual human model that meets all key dimensions is obtained, and finally a virtual human model that is closest to the virtual human model is selected as the matched virtual human model.

2. The method for adaptive body shape data matching for virtual reality according to claim 1, characterized in that: The camera device is a virtual reality CAVE camera capture system.

3. The method for adaptive body shape data matching for virtual reality according to claim 2, characterized in that: The step of obtaining the body shape information of the person used for subjective evaluation of the virtual human-machine is as follows: Based on the cameras arranged in front, behind and below the virtual human-machine subjective evaluator, the body shape information of the virtual human-machine subjective evaluator is obtained.

4. The method for adaptive body shape data matching for virtual reality according to claim 1, characterized in that: The key measurements include height, sitting height, upper arm length, forearm length, shoulder width and chest thickness.

5. The method for adaptive body shape data matching for virtual reality according to claim 1, characterized in that: The virtual human body model database stores a plurality of virtual human body models of different body types.

6. The method for adaptive body shape data matching for virtual reality according to claim 1, characterized in that: Each time a key dimension in each group is matched, the selected virtual human models are reduced exponentially.

7. An adaptive body shape data matching system for virtual reality, characterized in that: include: A body shape information acquisition module is used to acquire body shape information of a person used for subjective evaluation of a virtual human machine based on a camera device, and to obtain key dimensions of each part of the body shape information based on the acquired body shape information; A virtual model data module, which is used to store virtual human models of different body types; A matching calculation module, which is used to match a virtual human body model satisfying all the key dimensions in the virtual model data module based on the key dimensions obtained by the body shape information acquisition module; Among them, after obtaining the key dimensions of each part of the body shape information, it also includes: The obtained multiple key dimensions are grouped, and each group includes multiple key dimensions; Based on the importance of the key dimensions, the obtained groups are numbered in turn; The matching to obtain a virtual human body model that meets all key dimensions in the virtual human body model database specifically includes the following steps: Matching the key dimensions in the first group with the virtual human model database to obtain virtual human models in the virtual human model database that meet all the key dimensions in the first group, and selecting a preset number of virtual human models that are closest to the key dimensions; Matching the key dimensions in the second group with the selected virtual human models, obtaining virtual human models that meet all the key dimensions in the second group among the selected virtual human models, and selecting a set number of closest virtual human models again; Matching the key dimensions in the third group with the virtual human models selected again, obtaining virtual human models that meet all the key dimensions in the third group from the virtual human models selected again, and selecting a certain number of closest virtual human models again; And so on, the key dimensions of all groups are matched until a virtual human model that meets all key dimensions is obtained, and finally a virtual human model that is closest to the virtual human model is selected as the matched virtual human model.

8. The adaptive body shape data matching system for virtual reality according to claim 7, characterized in that: The matching calculation module is also used to output the matched virtual human body model to complete the adaptive body shape data matching.

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