A method and system for calibrating ergonomic digital human based on digital standard human

Abstract

The present invention relates to the technical field of digital human calibration data processing, and specifically discloses a method and system for calibrating an ergonomic digital human based on a digital standard human. The method can make the appearance and movements of the ergonomic digital human more realistic by acquiring and analyzing the appearance data and movement data of the ergonomic digital human. Acquiring and analyzing the expression data and sound data can make the expression and sound of the digital human closer to reality and accurately express various emotional states, thereby enhancing the emotional communication and interaction capabilities with users. Acquiring and analyzing the interaction data can improve the interaction accuracy and response speed of the ergonomic digital human. At the same time, the ergonomic calibration of the ergonomic digital human is optimized, so as to ensure that when the ergonomic digital human performs interactive operations, the movement accuracy of the ergonomic digital human is improved and the error rate of the interactive operations is reduced, so that the digital human improves the user's experience satisfaction in different interactive scenarios.

Description

Technical Field

[0001] The present invention relates to the technical field of digital human calibration data processing, and in particular to an ergonomic digital human calibration method and system based on a digital standard human. Background Art

[0002] At present, with the increasing development of digital human technology, no unified standards or specifications have been established for the control and interaction of digital humans. The current control and interaction of digital humans only focus on certain aspects of digital humans, and it is impossible to objectively and comprehensively evaluate the performance and quality of digital humans. In addition, during the simulation process of digital humans, there may be situations where the digital humans do not fully match the behaviors and characteristics of real human bodies, resulting in the results not being able to accurately reflect the performance of digital humans in real environments. At the same time, the data collection and processing methods for digital humans may affect the accuracy and reliability of the results.

[0003] For example, the invention patent with the announcement number CN111273783B provides a method and device for controlling a digital human, which relates to the field of artificial intelligence technology, and specifically includes: controlling the digital human to perform a first task; upon receiving a first instruction, obtaining a first action currently performed by the digital human in the first task, and a second action indicated by the first instruction; in the case where there are no conflicting bone points between the first action and the second action, according to the positions of each bone point when the digital human performs the first action, the positions of each bone point when the digital human performs the second action, and the movement law of the human body, fusing the first action and the second action to obtain a fused action; and, controlling the digital human to perform the fused action, thereby achieving a human-like action connection, making the action more natural and smooth, and realizing the humanization of the digital human to a greater extent.

[0004] For example, the invention patent with announcement number CN110108159B discloses a simulation system and method for large-space multi-person interaction, wherein the system includes individual equipment and collective equipment, wherein the individual equipment is a device worn on the user, and the individual equipment includes: a simulated firearm equipment, a full-body motion capture equipment, a simulated virtual world helmet, and a first wireless data communication terminal; the first wireless data communication terminal is used to collect usage data of the simulated firearm equipment, the full-body motion capture equipment, and the simulated virtual world helmet, respectively, and send the usage data to the collective equipment; the collective equipment is used to provide feedback on the usage data, and send the feedback data to the first wireless data communication terminal, so that the first wireless data communication terminal distributes the data to the simulated firearm equipment, the full-body motion capture equipment, and the simulated virtual world helmet, thereby achieving an immersive virtual experience through the individual equipment and the collective equipment.

[0005] Combining the above technical solutions, it is found that when the digital human controls the instructions to execute an action, if there is a slight change in the position of the bone point or the action during the execution of the action, the fused action may no longer be natural and smooth. At the same time, in actual applications, the interaction of the digital human is easily affected by various environmental factors, which not only affects the implementation of the digital human interaction and stability, but also has certain differences for different digital human technology platforms and digital human data processing processes. The effective integration of different digital human technology platforms and digital human data processing processes has become a complex problem. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for calibrating an ergonomic digital human based on a digital standard human, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a method for calibrating an ergonomic digital human based on a digital standard human, including: S1. Acquisition of ergonomic digital human data: acquiring the appearance data, action data, expression data, sound data and interaction data of the ergonomic digital human of the digital human simulation system.

[0008] S2. Ergonomic digital human data analysis: Analyze the appearance data and movement data of the ergonomic digital human to obtain the morphological calibration index of the ergonomic digital human; analyze the expression data and sound data of the ergonomic digital human to obtain the functional calibration index of the ergonomic digital human; and obtain the interaction calibration index of the ergonomic digital human by analyzing the interaction data of the ergonomic digital human.

[0009] S3. Ergonomic digital human calibration evaluation: Comprehensively analyze the morphological calibration indicators, functional calibration indicators and interaction calibration indicators of the ergonomic digital human to obtain the ergonomic digital human calibration evaluation indicators of the digital human simulation system.

[0010] S4. Optimization of ergonomic digital human calibration evaluation: Compare the ergonomic digital human calibration evaluation indicators of the digital human simulation system with the set digital standard human calibration reference indicators, and finally optimize the ergonomic calibration of the ergonomic digital human of the digital human simulation system.

[0011] As a further method, the appearance data and motion data of the ergonomic digital human specifically include:

[0012] The appearance data of the ergonomic digital human include the pupil diameter of the ergonomic digital human's eyes, the maximum visual angle of the eyes, the distance from the inner corner of the left eye to the inner corner of the right eye, the length, width, height of the nose bridge and the diameter of the nostrils, the width, length and thickness of the lips of the mouth, the length, width, thickness and ear hole diameter of the auricle, the contour area of ​​the face, the height, weight, upper limb length, lower limb length and body surface area of ​​the ergonomic digital human.

[0013] The motion data of the ergonomic digital human include the average speed of the ergonomic digital human during the motion cycle and the bending angle of each joint.

[0014] As a further method, the morphological calibration index of the ergonomic digital human is specifically analyzed as follows:

[0015] The facial feature index, body surface feature index and motion state index of the ergonomic digital human are comprehensively analyzed to obtain the morphological calibration index of the ergonomic digital human.

[0016] As a further method, the expression data and sound data of the ergonomic digital human specifically include:

[0017] The expression data of the ergonomic digital human include the curvature of the corners of the mouth corresponding to each expression of the ergonomic digital human, and the distance between the center point of the upper eyelid and the center point of the lower eyelid of the ergonomic digital human.

[0018] The curvature of the mouth corners corresponding to each expression of the ergonomic digital human is subtracted from the initial curvature of the mouth corners of the preset digital standard human to obtain the curvature of the mouth corner change of the ergonomic digital human. At the same time, it is multiplied by the influence factor corresponding to the unit value of the curvature of the mouth corner change preset in the digital standard human database to obtain the mouth corner change index of the ergonomic digital human.

[0019] The distance between the center points of the upper eyelids and the lower eyelids of the ergonomic digital person is subtracted from the initial distance between the center points of the upper eyelids and the lower eyelids of the digital standard person preset in the digital standard person database. The resulting value is recorded as the eye opening degree of the ergonomic digital person. At the same time, it is multiplied by the influence factor corresponding to the unit value of the eye opening degree preset in the digital standard person database to obtain the eye opening index of the ergonomic digital person.

[0020] The ergonomic digital human's mouth corner change index and the ergonomic digital human's eye opening and closing index are summed to obtain the ergonomic digital human's expression change index.

[0021] The sound data of the ergonomic digital human include the average decibel of the ergonomic digital human's voice and the average speaking speed of the ergonomic digital human.

[0022] As a further method, the functional calibration index of the ergonomic digital human is specifically analyzed as follows:

[0023] The expression change index of the ergonomic digital human, the average decibel of the ergonomic digital human's voice and the average speaking speed of the ergonomic digital human are comprehensively processed to obtain the functional calibration index of the ergonomic digital human.

[0024] As a further method, the interaction calibration index of the ergonomic digital human is specifically analyzed as follows:

[0025] The interaction data of the ergonomic digital human includes the total number of interactions, the information input termination time point corresponding to each interaction, the interaction response start time point corresponding to each interaction, and the interaction response end time point corresponding to each interaction.

[0026] The waiting response time period of each interaction of the ergonomic digital human is obtained by subtracting the information input termination time point corresponding to each interaction from the interaction response start time point corresponding to each interaction of the ergonomic digital human.

[0027] The interaction end time corresponding to each interaction of the ergonomic digital human is subtracted from the interaction response start time corresponding to each interaction of the ergonomic digital human to obtain the response time period of each interaction of the ergonomic digital human.

[0028] The total number of interactions of the ergonomic digital human, the waiting response time period of each interaction of the ergonomic digital human, and the response time period of each interaction of the ergonomic digital human are comprehensively analyzed to obtain the interaction calibration index of the ergonomic digital human.

[0029] As a further method, the ergonomic digital human calibration evaluation index of the digital human simulation system, the specific analysis process is:

[0030] The ergonomic digital human calibration index, functional calibration index and interaction calibration index are comprehensively analyzed to finally obtain the ergonomic digital human calibration evaluation index of the digital human simulation system. The specific analysis formula is:

[0031]

[0032] Wherein, δ is the ergonomic digital human calibration evaluation index of the digital human simulation system, e is a natural constant, φ1 is the morphological calibration index of the ergonomic digital human, η is the functional calibration index of the ergonomic digital human, τ is the interactive calibration index of the ergonomic digital human, f1 is the weight factor of the morphological calibration index of the ergonomic digital human preset in the digital standard human database, f2 is the weight factor of the functional calibration index of the ergonomic digital human preset in the digital standard human database, and f3 is the weight factor of the interactive calibration index of the ergonomic digital human preset in the digital standard human database.

[0033] As a further method, the ergonomic calibration of the ergonomic digital human of the digital human simulation system is optimized, and the specific optimization process is:

[0034] The ergonomic digital human calibration evaluation index of the digital human simulation system is compared with the set digital standard human calibration reference index to obtain the calibration accuracy value of the ergonomic digital human, and matched with the calibration optimization strategy corresponding to the calibration accuracy value interval of each ergonomic digital human to obtain the calibration optimization strategy of the ergonomic digital human, thereby realizing the ergonomic calibration optimization of the ergonomic digital human of the digital human simulation system.

[0035] The second aspect of the present invention provides an ergonomic digital human calibration system based on a digital standard human, including: an ergonomic digital human data acquisition module, used to obtain the appearance data, action data, expression data, sound data and interaction data of the ergonomic digital human of the digital human simulation system.

[0036] The ergonomic digital human data analysis module is used to analyze the appearance data and action data of the ergonomic digital human to obtain the morphological calibration index of the ergonomic digital human, analyze the expression data and sound data of the ergonomic digital human to obtain the functional calibration index of the ergonomic digital human, and obtain the interaction calibration index of the ergonomic digital human by analyzing the interaction data of the ergonomic digital human.

[0037] The ergonomic digital human calibration evaluation module is used to comprehensively analyze the morphological calibration indicators, functional calibration indicators and interaction calibration indicators of the ergonomic digital human, and obtain the ergonomic digital human calibration evaluation indicators of the digital human simulation system.

[0038] The ergonomic digital human calibration evaluation and optimization module is used to compare the ergonomic digital human calibration evaluation indicators of the digital human simulation system with the set digital standard human calibration reference indicators, and finally optimize the ergonomic calibration of the ergonomic digital human of the digital human simulation system.

[0039] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0040] (1) By analyzing the appearance data and motion data of the ergonomic digital human and calibrating it with the digital standard human, the present invention can make the appearance of the ergonomic digital human more realistic and enhance the user's sense of immersion and experience. The calibrated appearance data and motion data can help adjust the posture and motion of the ergonomic digital human to make it more consistent with the actual human body characteristics and movement laws, which helps to improve the accuracy and naturalness of the digital human's posture and motion.

[0041] (2) The present invention can capture the emotion and mood expression of the ergonomic digital human by analyzing the expression data and sound data of the ergonomic digital human. By calibrating these data, the digital human can express various emotional states more accurately. By calibrating the expression data and sound data, the expression and sound of the digital human can be closer to reality. The realistic expression and sound can enhance the user's emotional connection with the ergonomic digital human, thereby enhancing the emotional communication and interaction capabilities with the user.

[0042] (3) By analyzing the interaction data of the ergonomic digital human, the present invention can enable the ergonomic digital human to more accurately identify and understand the user's interaction actions and intentions, thereby improving the interaction accuracy and response speed of the ergonomic digital human. By calibrating the interaction data, the interaction actions and responses of the digital human can be made more natural, smooth and targeted, thereby improving the user experience and satisfaction.

[0043] (4) By optimizing the ergonomic calibration of the ergonomic digital human, the present invention can ensure that the ergonomic digital human's action accuracy is improved and the error rate of the interactive operation is reduced when the ergonomic digital human performs interactive operations, so that the digital human can provide a more engaging user experience in different interactive scenarios, help the digital human better understand and respond to user needs and behaviors, and make the interaction more humane and personalized. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0045] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0046] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0047] Figure 3 It is a simulation curve diagram of the total response time of each interaction of the ergonomic digital human of the present invention. DETAILED DESCRIPTION

[0048] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0049] Reference Figure 1 As shown, the first aspect of the present invention provides a method for calibrating an ergonomic digital human based on a digital standard human, including: S1. Acquisition of ergonomic digital human data: acquiring appearance data, motion data, expression data, sound data and interaction data of an ergonomic digital human of a digital human simulation system.

[0050] S2. Ergonomic digital human data analysis: Analyze the appearance data and movement data of the ergonomic digital human to obtain the morphological calibration index of the ergonomic digital human; analyze the expression data and sound data of the ergonomic digital human to obtain the functional calibration index of the ergonomic digital human; and obtain the interaction calibration index of the ergonomic digital human by analyzing the interaction data of the ergonomic digital human.

[0051] S3. Ergonomic digital human calibration evaluation: Comprehensively analyze the morphological calibration indicators, functional calibration indicators and interaction calibration indicators of the ergonomic digital human to obtain the ergonomic digital human calibration evaluation indicators of the digital human simulation system.

[0052] S4. Optimization of ergonomic digital human calibration evaluation: Compare the ergonomic digital human calibration evaluation indicators of the digital human simulation system with the set digital standard human calibration reference indicators, and finally optimize the ergonomic calibration of the ergonomic digital human of the digital human simulation system.

[0053] In this embodiment, the calibration indicators of the ergonomic digital human are sufficient to ensure that the art evaluation indicators such as the character design, model quality, and texture mapping of the ergonomic digital human meet high standards, so that the digital human is closer to real humans in appearance and behavior, and the simulation degree of the digital human simulation system is improved. High-quality ergonomic digital humans can bring users a more realistic and immersive virtual experience. Through fine calibration, the digital human's expression, movements and other details are more natural and smooth, allowing users to feel a higher sense of authenticity and immersion during the interaction process, making users more satisfied with the calibration management of the ergonomic digital human by the digital human simulation system. Fine-tuning the digital human through the calibration indicators can ensure its stable performance during use and reduce the probability of failure or error. This helps to improve the overall stability and reliability of the digital human simulation system and reduce the risk of system crashes or data loss caused by digital human problems.

[0054] Specifically, the appearance data and motion data of the ergonomic digital human include:

[0055] The appearance data of the ergonomic digital human include the pupil diameter of the ergonomic digital human's eyes, the maximum angle of the eye's visual range, the distance from the inner corner of the left eye to the inner corner of the right eye, the length, width, height of the nose bridge and the diameter of the nostrils, the width, length and thickness of the lips of the mouth, the length, width, thickness and ear hole diameter of the auricle, the contour area of ​​the face, the height, weight, upper limb length, lower limb length and body surface area of ​​the ergonomic digital human.

[0056] It should be explained that the appearance data of the above-mentioned ergonomic digital human can be obtained based on relevant research reports on anthropometry research.

[0057] The motion data of the ergonomic digital human include the average speed of the ergonomic digital human during the motion cycle and the bending angle of each joint.

[0058] It should be explained that the movement cycle of the above-mentioned ergonomic digital human refers to the time required for the ergonomic digital human to start from the starting state of the action, go through a series of action changes, and finally return to the starting state or enter the next action state. This movement cycle varies for different actions or tasks.

[0059] It should be explained that the average speed of the above-mentioned ergonomic digital human in the motion cycle is obtained by comparing the distance of the ergonomic digital human's motion cycle with the time of the motion cycle, and the bending angle of each joint of the ergonomic digital human in the motion cycle is obtained by referring to the degree of motion of real human joints.

[0060] Specifically, the analysis of the appearance data and action data of the ergonomic digital human includes the following specific analysis process:

[0061] The pupil diameter of the ergonomic digital human's eyes, the maximum visual angle of the eyes, and the distance from the inner corner of the left eye to the inner corner of the right eye are respectively ratio-processed with the pupil reference diameter of the digital standard human's eyes, the visual adaptation angle of the eyes, and the reference distance from the inner corner of the left eye to the inner corner of the right eye preset in the digital standard human database. The obtained ratios are multiplied by the correction factors corresponding to the eye characteristics preset in the digital standard human database, and the sum is performed. The final value is recorded as the ergonomic digital human eye characteristic index.

[0062] It should be explained that the correction factor corresponding to the above-mentioned eye characteristics refers to the proportional coefficient used to adjust the shape and size of the eyes. The fitting curve of the eye characteristics is fitted through the correspondence between the historical pupil diameter change value, the historical maximum visible angle change value, the historical eye corner distance change value and the eye characteristics of the ergonomic digital human. The real-time pupil diameter, maximum visible angle and eye corner distance are brought into the fitting curve of the eye characteristics to obtain the correction factor corresponding to the eye characteristics in this example, and the value range is (0,1).

[0063] The length, width, nose bridge height and nostril diameter of the ergonomic digital human nose are respectively subjected to difference processing with the reference length, reference width, reference nose bridge height and reference nostril diameter of the digital standard human nose preset in the digital standard human database. The obtained differences are multiplied by the correction factors corresponding to the nose characteristics preset in the digital standard human database, and the sum is performed. The final value obtained is recorded as the ergonomic digital human nose characteristic index.

[0064] It should be explained that the correction factor corresponding to the above-mentioned nose feature refers to the correction factor used to adjust the shape and size of the nose. The fitting curve of the nose feature is fitted through the correspondence between the historical length change value, historical width change value, historical nose bridge height change value, historical nostril diameter change value of the ergonomic digital person's nose and the nose feature. The real-time nose length, width, nose bridge height and nostril diameter are brought into the fitting curve of the nose feature, thereby obtaining the correction factor corresponding to the nose feature in this example, and the value range is (0,1).

[0065] The width, length and lip thickness of the ergonomic digital man's mouth are ratioed with the reference width, reference length and reference thickness of the lips of the digital standard man preset in the digital standard man database. The obtained ratios are multiplied by the correction factors corresponding to the mouth characteristics preset in the digital standard man database, and the results are summed. The final value is recorded as the ergonomic digital man's mouth characteristic index.

[0066] It should be explained that the correction factor corresponding to the above-mentioned mouth feature refers to the parameter used to adjust the shape and size of the mouth to make it more consistent with the characteristics of the digital human. The fitting curve of the mouth feature is obtained by fitting the historical width, historical length, historical thickness of the lips of the ergonomic digital human mouth and the mouth feature. The real-time mouth width, length, and lip thickness are brought into the fitting curve of the mouth feature, thereby obtaining the correction factor corresponding to the mouth feature in this example, and the value range is (0,1).

[0067] The auricle length, width, thickness and ear hole diameter of the ergonomic digital human ear are ratio processed with the auricle reference length, reference width, reference thickness and ear hole reference diameter of the digital standard human ear preset in the digital standard human database, the obtained ratios are multiplied by the correction factors corresponding to the ear characteristics preset in the digital standard human database, and the sum is performed. The final value obtained is recorded as the ergonomic digital human ear characteristic index.

[0068] It should be explained that the correction factor corresponding to the above-mentioned ear feature refers to the parameter used to adjust the shape and size of the ear to make it more consistent with the ear feature of the digital human. The fitting curve of the ear feature is obtained by fitting the correspondence between the historical auricle length, historical width, historical thickness and historical ear hole diameter of the ergonomic digital human and the ear feature. The real-time auricle length, width, thickness and ear hole diameter of the ear are brought into the fitting curve of the ear feature, thereby obtaining the correction factor corresponding to the ear feature in this example, and the value range is (0,1).

[0069] The contour area of ​​the ergonomic digital human face is ratioed with the reference contour area of ​​the digital standard human face preset in the digital standard human database, and the obtained ratio is multiplied by the correction factor corresponding to the contour area preset in the digital standard human database to obtain the ergonomic digital human face feature index.

[0070] It should be explained that the correction factor corresponding to the above-mentioned contour area refers to the parameter used to adjust the shape and size of the face to make it more consistent with the facial features of the digital human. The fitting curve of the facial contour area is obtained by fitting the corresponding relationship between the change value of the historical contour area of ​​the ergonomic digital human face and the facial contour features. The real-time contour area is brought into the fitting curve of the facial contour area, thereby obtaining the correction factor corresponding to the contour area in this example, and the value range is (0,1).

[0071] The feature index of the ergonomic digital human's eyes, the feature index of the ergonomic digital human's nose, the feature index of the ergonomic digital human's mouth, the feature index of the ergonomic digital human's ears and the feature index of the ergonomic digital human's face shape are summed up to finally obtain the feature index of the ergonomic digital human's facial features.

[0072] The height, weight, upper limb length, lower limb length and body surface area of ​​the ergonomic digital man are ratio processed with the reference height, weight, upper limb length, lower limb length and body surface area of ​​the digital standard man preset in the digital standard man database. The obtained ratios are multiplied by the correction factors corresponding to the body surface characteristics preset in the digital standard man database, and the ratios are summed up. The final value is recorded as the ergonomic digital man body surface characteristic index.

[0073] It should be explained that the correction factors corresponding to the above-mentioned body surface characteristics refer to parameters for adjusting the sizes and proportions of different body parts of the ergonomic digital human. The fitting curve of the body surface characteristics is obtained by fitting the change values ​​of the historical height, weight, upper limb length, and lower limb length of the ergonomic digital human and the change of the body surface characteristics. The real-time height, weight, upper limb length, lower limb length and body surface area of ​​the ergonomic digital human are brought into the fitting curve of the body surface characteristics, thereby obtaining the correction factors corresponding to the body surface characteristics of the ergonomic digital human in this example, and the value range is (0,1).

[0074] The average speed of the ergonomic digital human in the motion cycle and the bending angle of each joint are ratioed with the average reference speed of the digital standard human in the motion cycle and the reference bending angle of each joint preset in the digital standard human database. The obtained ratios are multiplied by the correction factors corresponding to the motion states preset in the digital standard human database, and the sum is performed to finally obtain the ergonomic digital human motion state index.

[0075] It should be explained that the correction factor corresponding to the above-mentioned motion state refers to the parameter for adjusting the average speed and the bending angle of each joint within the motion cycle in order to more accurately reflect the motion state of the actual ergonomic digital human. The correspondence between the historical average speed change value, the historical bending angle of each joint and the motion state can be obtained by observing and measuring the actual human motion behavior, and the fitting curve of the motion state characteristics can be fitted. The average speed of the real-time ergonomic digital human in the motion cycle and the bending angle of each joint are brought into the fitting curve of the motion state characteristics, thereby obtaining the correction factor corresponding to the motion state in this embodiment, and the value range is (0,1).

[0076] It should be explained that the bending angle of each joint is not fixed, but is adjusted according to the type of exercise, as shown in the data in Table 1, the table of joint angle changes for sports:

[0077] Table 1. Table of joint angle changes in sports events

[0078]

[0079]

[0080] Through the data in the table of joint angle changes in sports in Table 1 above, it can be found that different sports have different requirements for joint angle changes. In most sports, the hip and knee joints show larger angle changes, which shows that these two joints play a vital role in sports, especially in sports that require running, jumping and rapid direction changes (such as basketball and tennis); in sports that require large-scale upper limb movements (such as swimming and tennis), the shoulder joint angle changes are larger, which has an important impact on sports performance. It should be noted that the data listed in the above table are general observations, and the changes in joint angles in actual sports may vary due to individual differences.

[0081] Furthermore, the specific analysis process of the morphological calibration index of the ergonomic digital human is as follows:

[0082] The facial feature index, body surface feature index and motion state index of the ergonomic digital human are comprehensively analyzed to obtain the morphological calibration index of the ergonomic digital human. The specific analysis formula is:

[0083]

[0084] In the formula, φ1 is the morphological calibration index of the ergonomic digital human. A larger facial feature index of the ergonomic digital human means that there is a large deviation between the appearance of the ergonomic digital human and the actual human, which may cause the facial features of the ergonomic digital human to look unnatural or distorted, thereby affecting its fidelity and credibility in specific industry applications. A larger ergonomic digital body surface feature index will cause the appearance characteristics of the ergonomic digital human to look distorted or unnatural, which is greatly different from the appearance characteristics of real humans, and may cause the various parts of the ergonomic digital human to be inconsistent in appearance, such as incorrect body proportions and abnormal limb positions. A larger ergonomic digital human motion state index may cause the posture and movement of the digital human in a specific motion state to look unnatural or distorted. For example, if the digital human model is calibrated to a static state, but its motion state index indicates that it is in motion, then the posture and movement of the model may not match the actual situation. By analyzing the morphological calibration index of the ergonomic digital human, it can help adjust the posture and movement of the ergonomic digital human to make it more consistent with the actual human characteristics and motion laws, which helps to improve the accuracy and naturalness of the posture and movement of the digital human.

[0085] rw is the facial features index of ergonomic digital human, which refers to the index used to evaluate the size, shape and proportion characteristics of the facial features of ergonomic digital human.

[0086] rt is the ergonomic human body surface characteristic index, which refers to a series of numerical indicators that reflect the surface characteristics of the ergonomic human body.

[0087] ry is the ergonomic digital human motion state index, which refers to a series of numerical indicators that reflect the performance and efficiency of the digital human body in various motion states.

[0088] y1 is the weight factor corresponding to the facial features preset in the digital standard human database, y2 is the weight factor corresponding to the body surface features preset in the digital standard human database, and y3 is the weight factor corresponding to the motion state preset in the digital standard human database. The weight factor corresponding to the facial features refers to the degree of influence of the facial features index of the ergonomic digital human on the morphological calibration index of the ergonomic digital human. The fitting curve of the facial features is obtained by fitting the historical facial features change data of the ergonomic digital human, including the change values ​​of the size of the pupil, the size of the mouth, the size of the ear, the change values ​​of the width and length of the face, and the change values ​​of the facial features. The real-time facial features data of the ergonomic digital human are brought into the fitting curve of the facial features, thereby obtaining the weight factors corresponding to the facial features in this example, and the value range is (0,1); the weight factor corresponding to the body surface features refers to the degree of influence of the body surface features index of the ergonomic digital human on the morphological calibration index of the ergonomic digital human. The historical body surface features of the ergonomic digital human are used to obtain the corresponding relationship between the facial features. The corresponding relationship between the change values ​​of height, weight and limb length and the change of body surface characteristics is fitted to obtain the fitting curve of body surface characteristics. The real-time height, weight and limb length of the ergonomic digital human are brought into the fitting curve of body surface characteristics to obtain the weight factor corresponding to the body surface characteristics in this example, and the value range is (0,1); the weight factor corresponding to the motion state refers to the influence of the motion state index of the ergonomic digital human on the morphological calibration index of the ergonomic digital human. The fitting curve of the motion state is obtained by fitting the corresponding relationship between the historical motion speed change value of the ergonomic digital human, the historical bending angle of the joint and the historical motion state change. The real-time motion speed of the ergonomic digital human and the bending angle of each joint are brought into the fitting curve of the motion state to obtain the weight factor corresponding to the motion state in this example, and the value range is (0,1). The weight is allocated according to the influence of the facial features, body surface characteristics and motion state on the morphological calibration index of the ergonomic digital human, y1+y2+y3=1.

[0089] Specifically, the expression data and sound data of the ergonomic digital human include:

[0090] The expression data of the ergonomic digital human include the curvature of the corners of the mouth corresponding to each expression of the ergonomic digital human, and the distance between the center point of the upper eyelid and the center point of the lower eyelid of the ergonomic digital human.

[0091] It should be explained that the above-mentioned expression data of the ergonomic digital human are obtained based on actual measurements of the changes in the expression of the ergonomic digital human.

[0092] The curvature of the mouth corner corresponding to each expression of the ergonomic digital human is subtracted from the initial curvature of the mouth corner of the digital standard human preset in the digital standard human database to obtain the curvature of the mouth corner change of the ergonomic digital human. At the same time, it is multiplied by the influence factor corresponding to the unit value of the curvature of the mouth corner change preset in the digital standard human database to obtain the mouth corner change index of the ergonomic digital human.

[0093] It should be explained that the initial curvature of the mouth corners of the above-mentioned digital standard person is obtained by understanding the general expression characteristics of the human mouth in a natural and relaxed state as a benchmark, and determining the initial curvature of the mouth corners of the digital standard person. The influencing factor corresponding to the unit value of the curvature of the mouth corner change is obtained by fitting the fitting curve of the curvature of the mouth corner change characteristics through the correspondence between the change values ​​of the historical curvature of the mouth corners corresponding to the historical expressions of the ergonomic digital person and the curvature of the mouth corner change characteristics. The real-time curvature of the mouth corner change of the ergonomic digital person is brought into the fitting curve of the curvature of the mouth corner change characteristics, thereby obtaining the influencing factor corresponding to the unit value of the curvature of the mouth corner change in this example, and the value range is (0,1).

[0094] It should be explained that different expressions correspond to different curvatures of the mouth corners. The curvatures of the mouth corners corresponding to specific expressions are shown in Table 2, which shows the correspondence between expressions and curvatures of the mouth corners:

[0095] Table 2 Correspondence between facial expressions and mouth corner curvature

[0096] expression Mouth corner arc (degrees) Smile [15，30) laughing out loud [30，50) wry smile [5，15) neutral [0，5) Slightly unhappy [-5，0) dissatisfied [-10，-5) angry [-15，-10) disgust (0，-10)

[0097] It should be explained that the curvature of the mouth corners refers to the angle of the mouth corners rising or falling, a positive number indicates that the mouth corners are rising, and a negative number indicates that the mouth corners are falling; through the data in Table 1, it can be found that different expressions correspond to different curvatures of the mouth corners, among which smiling [15, 30) degrees, the corners of the mouth are slightly raised when smiling, showing a feeling of pleasure and satisfaction, and a smile can convey a signal of friendliness and acceptance; neutral [0, 5) degrees, the facial expression is neutral, the corners of the mouth are almost unchanged, indicating a stable emotion, no obvious positive or negative emotional display, no emotional fluctuations or calm facial expressions; angry [-15, -10) degrees, the corners of the mouth are significantly down, often accompanied by a frown and stern eyes, expressing anger or extreme dissatisfaction, this expression sends a clear signal that it is very dissatisfied or angry about something.

[0098] The distance between the center points of the upper eyelids and the lower eyelids of the ergonomic digital person is subtracted from the initial distance between the center points of the upper eyelids and the lower eyelids of the digital standard person preset in the digital standard person database. The resulting value is recorded as the eye opening degree of the ergonomic digital person. At the same time, it is multiplied by the influence factor corresponding to the unit value of the eye opening degree preset in the digital standard person database to obtain the eye opening index of the ergonomic digital person.

[0099] It should be explained that the initial distance between the center points of the upper eyelids and the lower eyelids of the above-mentioned digital standard human eyes is obtained according to the standards of eye aesthetics. The influencing factor corresponding to the unit value of the eye opening degree is obtained by fitting the fitting curve of the eye opening degree through the correspondence between the distance change value between the center points of the upper eyelids and the lower eyelids of the historical eyes of the ergonomic digital human and the change in the eye opening degree. The real-time eye opening degree of the ergonomic digital human is brought into the fitting curve of the eye opening degree, thereby obtaining the influencing factor corresponding to the unit value of the eye opening degree in this example, and the value range is (0,1).

[0100] The ergonomic digital human's mouth corner change index and the ergonomic digital human's eye opening and closing index are summed to obtain the ergonomic digital human's expression change index.

[0101] The sound data of the ergonomic digital human include the average decibel of the ergonomic digital human's voice and the average speaking speed of the ergonomic digital human.

[0102] It needs to be explained that the sound data of the above-mentioned ergonomic digital man is obtained by recording the sound of the ergonomic digital man through professional audio acquisition equipment and importing it into audio editing software. According to the average decibel function of the entire audio file provided by the audio editing software, the entire sound sample is selected for calculation to obtain the average decibel of the sound of the ergonomic digital man. At the same time, the speaking speed analysis function in the audio editing software is used to measure the speaking speed of the ergonomic digital man. According to the speaking speed measurement results provided by the software, the average value of multiple measurements is calculated to obtain the average speaking speed of the ergonomic digital man.

[0103] Specifically, the functional calibration index of the ergonomic digital human is analyzed in the following steps:

[0104] The expression change index of the ergonomic digital human, the average decibel of the sound of the ergonomic digital human, and the average speech speed of the ergonomic digital human are comprehensively processed to obtain the functional calibration index of the ergonomic digital human. The specific analysis formula is:

[0105]

[0106] Wherein, η is the functional calibration index of the ergonomic digital human. If the expression change index of the ergonomic digital human is large, but the functional calibration index fails to fully consider the impact of these expression changes on the functionality of the digital human, it may cause inconsistency between the expression and function of the digital human. For example, the digital human shows sad or angry facial expressions, but its actual functions do not match these expressions, which may convey inaccurate or confusing information to the user, causing the user to feel confused or dissatisfied during the interaction process, reducing the quality of user experience. The low decibel of the ergonomic digital human's voice may make it difficult for the user to hear the information or instructions conveyed by the digital human. If the decibel of the sound emitted by the ergonomic digital human is too high, the user may suffer hearing damage or hearing loss if exposed to this environment for a long time. The high-decibel sound may cause discomfort to the user, thereby reducing the quality of interaction between the user and the digital human. Speaking too slowly or too fast may cause difficulty in communicating with the digital human. When the speaking speed is too fast, the user may not be able to keep up with the digital human's speech rhythm, resulting in difficulty in understanding. However, speaking too slowly may make users feel that the waiting time is too long, affecting the fluency and efficiency of communication. By analyzing the data of the functional calibration indicators of the ergonomic digital human, the digital human can express various emotional states more accurately. The realistic expressions and sounds can enhance the user's emotional connection with the ergonomic digital human, making the digital human's expressions and sounds closer to reality, thereby enhancing the emotional communication and interaction capabilities with users.

[0107] γ is the expression change index of the ergonomic digital human, which refers to an indicator used to describe the refinement and naturalness of the expression changes of the ergonomic digital human.

[0108] dba is the average decibel of the ergonomic digital man's voice, which refers to the average volume of the ergonomic digital man's actual speaking voice.

[0109] Δdba is the average decibel of the digital standard person's voice preset in the digital standard person database, which refers to the average volume of the digital standard person's speech.

[0110] yt is the average speaking speed of the ergonomic digital human, which refers to the average number of syllables, words or sentences uttered by the ergonomic digital human per unit time when performing speech output.

[0111] Δyt is the average speaking speed of the digital standard person preset in the digital standard person database, which refers to the average output rate of syllables, words or sentences of the digital standard person's voice output.

[0112] u1 is the weight factor corresponding to the expression change index preset in the digital standard human database, u2 is the correction factor of the decibel of the ergonomic digital human voice preset in the digital standard human database, and u3 is the correction factor of the speech speed of the ergonomic digital human preset in the digital standard human database. The weight factor corresponding to the expression change index refers to the degree of influence of the expression change index on the functional calibration index of the ergonomic digital human. The fitting curve corresponding to the expression change index is obtained by fitting the corresponding relationship between the historical change values ​​of the eye opening and closing degree of the ergonomic digital human and the historical change values ​​of the curvature of the mouth corners and the expression change of the ergonomic digital human. The real-time change values ​​of the eye opening and closing degree of the ergonomic digital human and the curvature of the mouth corners are brought into the fitting curve corresponding to the expression change index, thereby obtaining the weight factor corresponding to the expression change index in this example, and the value range is (0,1); the correction factor of the decibel of the ergonomic digital human voice refers to the influence of the decibel change of the ergonomic digital human voice on the ergonomic digital human. The degree of influence of the functional calibration index is obtained by fitting the fitting curve corresponding to the average decibel of the sound through the corresponding relationship between the historical sound monitoring distance of the ergonomic digital human and the change of the ergonomic digital human function. The real-time ergonomic digital human sound monitoring distance is brought into the fitting curve corresponding to the average decibel of the sound, thereby obtaining the weight factor corresponding to the expression change index in this example, and the value range is (0,1); the correction factor of the ergonomic digital human's speech speed refers to the degree of influence of the change of the ergonomic digital human's speech speed on the functional calibration index of the ergonomic digital human. The fitting curve corresponding to the average speech speed of the ergonomic digital human is obtained by fitting the corresponding relationship between the change of the speech speed of the ergonomic digital human in each emotional state of the ergonomic digital human and the change of the functional expression of the ergonomic digital human. The real-time speech speed of the emotional state of the ergonomic digital human is brought into the fitting curve corresponding to the average speech speed, thereby obtaining the correction factor of the ergonomic digital human's speech speed in this example, and the value range is (0,1).

[0113] Furthermore, the interaction calibration index of the ergonomic digital human is specifically analyzed as follows:

[0114] The interaction data of the ergonomic digital human includes the total number of interactions, the information input termination time point corresponding to each interaction, the interaction response start time point corresponding to each interaction, and the interaction response end time point corresponding to each interaction.

[0115] It should be explained that the above-mentioned total number of interactions, the information input termination time point corresponding to each interaction, the interaction response start time point corresponding to each interaction, and the interaction response end time point corresponding to each interaction can be obtained through the log file of the interaction process of the ergonomic digital human.

[0116] The waiting response time period of each interaction of the ergonomic digital human is obtained by subtracting the information input termination time point corresponding to each interaction from the interaction response start time point corresponding to each interaction of the ergonomic digital human.

[0117] The interaction response start time point corresponding to each interaction of the ergonomic digital human is subtracted from the interaction end time point corresponding to each interaction of the ergonomic digital human to obtain the waiting response time period of each interaction of the ergonomic digital human.

[0118] It should be explained that the data obtained by summing the waiting response time period of each interaction of the ergonomic digital human and the response time period of each interaction of the ergonomic digital human is the total reaction time of each interaction of the ergonomic digital human. The simulation curve of the change of each interaction and the total reaction time period of each interaction of the ergonomic digital human is as shown in Figure 3 The total response time of each interaction of the ergonomic digital human is shown in the simulation curve diagram, in which the horizontal axis represents the number of interactions in times, and the vertical axis represents the total response time of each interaction corresponding to the number of interactions in seconds.

[0119] By observation Figure 3 The simulation curve of the total response time of each interaction of the ergonomic digital human shows that the total response time of the interaction does not increase with the increase of the number of interactions, but changes according to the difficulty of each interaction task. This means that the ergonomic digital human may adjust its response time according to the difficulty of the interaction task. For simple interaction tasks such as the third interaction, it may respond quickly and complete it quickly, while for complex interaction tasks such as the sixth interaction, it may take more time to process and respond.

[0120] The total number of interactions of the ergonomic digital human, the waiting response time period of each interaction of the ergonomic digital human, and the response time period of each interaction of the ergonomic digital human are comprehensively analyzed to obtain the interaction calibration index of the ergonomic digital human. The specific analysis formula is:

[0121]

[0122] In the formula, τ is the interaction calibration index of the ergonomic digital human. A longer interaction waiting response time period means that the ergonomic digital human takes a long time to respond to user interaction commands, which will reduce user satisfaction and experience, causing users to feel impatient due to the long waiting time, thus affecting the overall interaction process. The longer waiting time directly affects the efficiency of the interaction, making the entire interaction process slow and inefficient. The longer interaction response time period means that the ergonomic digital human takes a long time to process, analyze and execute user commands. Users usually expect fast and immediate interaction responses. The longer response time will reduce user satisfaction and reduce the user's trust in the ergonomic digital human, doubt the reliability and practicality of the digital human, and even doubt its interaction results, thus affecting subsequent interaction behaviors. By analyzing the various data in the interaction calibration index of the ergonomic digital human, the interaction accuracy and response speed of the ergonomic digital human can be improved. By calibrating the interaction data, the interaction actions and reactions of the digital human can be made more natural, smooth and targeted, thereby improving the user's experience and satisfaction.

[0123] Ts i is the waiting response time period of the ergonomic digital human for the i-th interaction, which refers to the process time period from the user sending the interaction command to the ergonomic digital human receiving the interaction command.

[0124] Te is the digital standard human interaction waiting response time period preset in the digital standard human database, which refers to the maximum allowed time period from the user sending an interaction command to the ergonomic digital human receiving the interaction command.

[0125] Tx i is the response time period of the ergonomic digital human for the i-th interaction, which refers to the time period from when the ergonomic digital human receives the interactive instruction from the user to when the ergonomic digital human completely processes the instruction and gives corresponding feedback or performs corresponding operations.

[0126] ΔTx is the digital standard human interaction response time period preset in the digital standard human database, which refers to the maximum time period from when the ergonomic digital human receives the interaction command issued by the user to when the ergonomic digital human completely processes the command and gives corresponding feedback or performs the corresponding operation.

[0127] T1 is the correction factor of the waiting response time period preset in the digital standard human database, and T2 is the correction factor of the response time period preset in the digital standard human database. The correction factor of the waiting response time period refers to the degree of influence of the interactive waiting response time period on the interactive calibration index of the ergonomic digital human. Through the corresponding relationship between the changes in the waiting response time period of each historical instruction task of the ergonomic digital human and the changes in the interactive waiting response time, the fitting curve corresponding to the waiting response time period is fitted, and the waiting response time period of the real-time instruction task is brought into the fitting curve corresponding to the waiting response time period, thereby obtaining the correction factor of the waiting response time period in this example, and the value range is (0,1); the correction factor of the response time period refers to the degree of influence of the interactive response time period on the interactive calibration index of the ergonomic digital human. Through the corresponding relationship between the changes in the response time period of each historical instruction task interaction of the ergonomic digital human and the instruction interaction changes, the fitting curve corresponding to the interactive response time period is fitted, and the response time period of the real-time ergonomic digital human instruction task interaction is brought into the fitting curve corresponding to the interactive response time period, thereby obtaining the correction factor of the response time period in this example, and the value range is (0,1).

[0128] i is the number of each interaction, i=1,2,3,...,N, and N is the total number of interactions.

[0129] Specifically, the ergonomic digital human calibration evaluation index of the digital human simulation system has a specific analysis process as follows:

[0130] The ergonomic digital human calibration index, functional calibration index and interaction calibration index are comprehensively analyzed to finally obtain the ergonomic digital human calibration evaluation index of the digital human simulation system. The specific analysis formula is:

[0131]

[0132] Where δ is the ergonomic digital human calibration evaluation index of the digital human simulation system. The morphological calibration index of the ergonomic digital human is directly related to the realism of its appearance and movements. If the morphological calibration index is low, the appearance of the digital human may appear unnatural, and the movements may appear stiff or uncoordinated, which will affect the user's intuitive feeling when interacting with the digital human and reduce the naturalness and fluency of the interaction. A low interaction calibration index of the ergonomic digital human means that the interaction calibration is poor, which may cause the digital human to respond more slowly when responding to the user. This may be because the digital human needs more time to process and understand the user's request, or due to the system's delay and poor response speed. By analyzing the various data of the ergonomic digital human calibration evaluation index, it is helpful for the digital human to better understand and respond to the user's needs and behaviors, making the interaction more humane and personalized.

[0133] e is a natural constant, φ1 is the morphological calibration index of the ergonomic digital human, η is the functional calibration index of the ergonomic digital human, and τ is the interaction calibration index of the ergonomic digital human.

[0134] f1 is the weight factor of the morphological calibration index of the ergonomic digital human preset in the digital standard human database, f2 is the weight factor of the functional calibration index of the ergonomic digital human preset in the digital standard human database, and f3 is the weight factor of the interactive calibration index of the ergonomic digital human preset in the digital standard human database.

[0135] It should be explained that the weight factor of the morphological calibration index of the above-mentioned ergonomic digital human refers to the degree of influence of the change of the morphological calibration index of the ergonomic digital human on the calibration evaluation index of the ergonomic digital human. The fitting curve corresponding to the morphological calibration of the ergonomic digital human is fitted through the correspondence between the historical height and weight change values ​​of the ergonomic digital human and the morphological change of the ergonomic digital human. The real-time height and weight change values ​​of the ergonomic digital human are brought into the fitting curve corresponding to the morphological calibration of the ergonomic digital human, thereby obtaining the weight factor of the morphological calibration index of the ergonomic digital human in this example, and the value range is (0,1); the weight factor of the functional calibration index of the ergonomic digital human refers to the degree of influence of the change of the functional calibration index of the ergonomic digital human on the calibration evaluation index of the ergonomic digital human. The historical sound decibel change value and the historical speech speed change value of the ergonomic digital human are used to calculate the weight factor of the morphological calibration index of the ergonomic digital human. According to the corresponding relationship between the functional calibration changes of the ergonomic digital human, the fitting curve corresponding to the functional calibration of the ergonomic digital human is fitted, and the real-time ergonomic digital human's sound decibel and historical speaking speed are brought into the fitting curve of the functional calibration index of the ergonomic digital human, thereby obtaining the weight factor of the functional calibration index of the person in this example, and the value range is (0,1); the weight factor of the interaction calibration index refers to the degree of influence of the change of the interaction calibration index of the ergonomic digital human on the calibration evaluation index of the ergonomic digital human. Through the corresponding relationship between the change value of the historical interaction time period of the ergonomic digital human and the interaction calibration change, the fitting curve corresponding to the interaction calibration index is fitted, and the real-time ergonomic digital human's interaction time period is brought into the fitting curve of the interaction calibration index, thereby obtaining the weight factor of the interaction calibration index in this example, and the value range is (0,1).

[0136] Specifically, the ergonomic calibration of the ergonomic digital human of the digital human simulation system is optimized, and the specific optimization process is:

[0137] The ergonomic digital human calibration evaluation index of the digital human simulation system is compared with the set digital standard human calibration reference index to obtain the calibration accuracy value of the ergonomic digital human, and matched with the calibration optimization strategy corresponding to the calibration accuracy value interval of each ergonomic digital human to obtain the calibration optimization strategy of the ergonomic digital human, thereby realizing the ergonomic calibration optimization of the ergonomic digital human of the digital human simulation system.

[0138] It should be explained that the above-mentioned digital standard person calibration reference index is obtained based on the calibration data of historical digital standard persons and the opinions of digital standard person calibration experts, and is stored in the digital standard person database. In this embodiment, the value range of the digital standard person calibration reference index is any rational number between 0 and 1.

[0139] In this embodiment, the matching process of the calibration optimization strategy of the ergonomic digital human is as follows:

[0140] According to the calibration optimization strategy corresponding to the accuracy value interval of each ergonomic digital human calibration, the accuracy value of the ergonomic digital human calibration is divided into three intervals. The first interval is (0, 3], the second interval is (3, 6.5], and the value greater than 6.5 corresponds to the third interval. At the same time, the three intervals correspond to three calibration optimization strategies respectively. When the ergonomic digital human calibration accuracy value is between (0, 3], it may mean that the ergonomic digital human calibration accuracy is low, and the ergonomic digital human needs to be more finely adjusted or more data collection, which includes re-evaluating the calibration process, optimizing the calibration algorithm, and collecting more representative training data; when the ergonomic digital human calibration accuracy value is between (3, 6.5], it means that the calibration accuracy is relatively good, but there is still room for improvement. Fine-tuning optimization can be considered, such as making small adjustments to the calibration parameters, optimizing feature selection, or adopting more advanced calibration technology; when the ergonomic digital human calibration accuracy value is greater than 6.5, it means that the calibration accuracy is very high and has reached a good performance level. At this time, the main optimization strategies include maintaining the current calibration status, regularly checking and updating data, and monitoring the performance degradation of the ergonomic digital human to ensure its long-term stable operation.

[0141] Reference Figure 2 As shown, the second aspect of the present invention provides an ergonomic digital human calibration system based on a digital standard human, including: an ergonomic digital human data acquisition module, an ergonomic digital human data analysis module, an ergonomic digital human calibration evaluation module and an ergonomic digital human calibration evaluation optimization module.

[0142] The second aspect of the present invention provides an ergonomic digital human calibration system based on a digital standard human, which also includes a digital standard human database, which is used to store correction factors corresponding to eye features, correction factors corresponding to nose features, correction factors corresponding to mouth features, correction factors corresponding to ear features, correction factors corresponding to body surface features, correction factors corresponding to motion states, influence factors corresponding to the unit values ​​of the arc of the mouth corner change, influence factors corresponding to the unit values ​​of the eye opening and closing degree, weight factors of the morphological calibration indicators of the ergonomic digital human, weight factors of the functional calibration indicators, weight factors of the interactive calibration indicators, digital standard human calibration reference indicators, pupil reference diameter of the digital standard human's eyes, visual adaptation angle of the eyes, reference distance from the inner corner of the left eye to the inner corner of the right eye, reference length, reference width, reference height of the nose bridge and reference diameter of the nostrils of the digital standard human preset in the digital standard human database, reference width, reference length and reference thickness of the lips of the digital standard human , the reference length, reference width, reference thickness of the auricle and the reference diameter of the ear hole of the digital standard person, the reference contour area of ​​the face of the digital standard person, the reference height, reference weight, reference length of upper limbs, reference length of lower limbs and reference body surface area of ​​the digital standard person preset in the digital standard person database, the average reference speed of the digital standard person during the movement cycle and the reference bending angle of each joint, the initial curvature of the mouth corner of the digital standard person, the initial distance between the center point of the upper eyelid and the center point of the lower eyelid of the digital standard person, the average decibel of the digital standard person's voice, the average speaking speed of the digital standard person, the weight factor corresponding to the expression change index, the correction factor of the decibel of the sound of the ergonomic digital person, the correction factor of the speaking speed of the ergonomic digital person, the interactive response time period of the digital standard person, the interactive waiting response time period of the digital standard person, the weight factor of the morphological calibration index of the ergonomic digital person, the weight factor of the functional calibration index of the ergonomic digital person, and the weight factor of the interactive calibration index of the ergonomic digital person.

[0143] The ergonomic digital human data acquisition module is connected to the ergonomic digital human data analysis module, the ergonomic digital human data analysis module is connected to the ergonomic digital human calibration evaluation module, the ergonomic digital human calibration evaluation module is connected to the ergonomic digital human calibration evaluation optimization module, and the digital standard human database is connected to the ergonomic digital human data acquisition module, the ergonomic digital human data analysis module, the ergonomic digital human calibration evaluation module and the ergonomic digital human calibration evaluation optimization module.

[0144] The ergonomic digital human data acquisition module is used to obtain the appearance data, action data, expression data, sound data and interaction data of the ergonomic digital human of the digital human simulation system.

[0145] The ergonomic digital human data analysis module is used to analyze the appearance data and action data of the ergonomic digital human to obtain the morphological calibration index of the ergonomic digital human, analyze the expression data and sound data of the ergonomic digital human to obtain the functional calibration index of the ergonomic digital human, and obtain the interaction calibration index of the ergonomic digital human by analyzing the interaction data of the ergonomic digital human.

[0146] The ergonomic digital human calibration evaluation module is used to comprehensively analyze the morphological calibration indicators, functional calibration indicators and interaction calibration indicators of the ergonomic digital human, and obtain the ergonomic digital human calibration evaluation indicators of the digital human simulation system.

[0147] The ergonomic digital human calibration evaluation and optimization module is used to compare the ergonomic digital human calibration evaluation indicators of the digital human simulation system with the set digital standard human calibration reference indicators, and finally optimize the ergonomic calibration of the ergonomic digital human of the digital human simulation system.

[0148] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for calibrating an ergonomic digital human based on a digital standard human, characterized in that: include: S1. Ergonomic digital human data acquisition: Acquire the appearance data, action data, expression data, sound data and interaction data of the ergonomic digital human in the digital human simulation system; S2. Ergonomic digital human data analysis: Analyze the appearance data and action data of the ergonomic digital human to obtain the morphological calibration index of the ergonomic digital human; analyze the expression data and sound data of the ergonomic digital human to obtain the functional calibration index of the ergonomic digital human; and analyze the interaction data of the ergonomic digital human to obtain the interaction calibration index of the ergonomic digital human; S3. Ergonomic digital human calibration evaluation: Comprehensively analyze the morphological calibration index, functional calibration index and interaction calibration index of the ergonomic digital human to obtain the ergonomic digital human calibration evaluation index of the digital human simulation system; S4. Optimization of ergonomic digital human calibration evaluation: Compare the ergonomic digital human calibration evaluation index of the digital human simulation system with the set digital standard human calibration reference index, and finally optimize the ergonomic calibration of the ergonomic digital human of the digital human simulation system; The specific analysis process of the morphological calibration index of the ergonomic digital human is as follows: The facial feature index, body surface feature index and motion state index of ergonomic digital human are comprehensively analyzed to obtain the morphological calibration index of ergonomic digital human. The functional calibration index of the ergonomic digital human is specifically analyzed as follows: The expression change index of the ergonomic digital human, the average decibel of the sound of the ergonomic digital human and the average speech speed of the ergonomic digital human are comprehensively processed to obtain the functional calibration index of the ergonomic digital human; The specific analysis process of the interaction calibration index of the ergonomic digital human is as follows: The interaction data of the ergonomic digital human includes the total number of interactions, the information input termination time point corresponding to each interaction, the interaction response start time point corresponding to each interaction, and the interaction response end time point corresponding to each interaction; The waiting response time period of each interaction of the ergonomic digital human is obtained by subtracting the information input termination time point corresponding to each interaction from the interaction response start time point corresponding to each interaction of the ergonomic digital human; The interaction response start time point corresponding to each interaction of the ergonomic digital human is subtracted from the interaction end time point corresponding to each interaction of the ergonomic digital human to obtain the response time period of each interaction of the ergonomic digital human; The total number of interactions of the ergonomic digital human, the waiting response time period of each interaction of the ergonomic digital human, and the response time period of each interaction of the ergonomic digital human are comprehensively analyzed to obtain the interaction calibration index of the ergonomic digital human.

2. The method for calibrating an ergonomic digital human based on a digital standard human according to claim 1, characterized in that: The appearance data and motion data of the ergonomic digital human specifically include: The appearance data of the ergonomic digital human include the pupil diameter of the ergonomic digital human's eyes, the maximum visual angle of the eyes, the distance from the inner corner of the left eye to the inner corner of the right eye, the length, width, height of the nose bridge and the diameter of the nostrils, the width, length and thickness of the mouth, the length, width, thickness and diameter of the ear auricle, the contour area of ​​the face, the height, weight, length of the upper limbs, length of the lower limbs and the body surface area of ​​the ergonomic digital human; The motion data of the ergonomic digital human include the average speed of the ergonomic digital human during the motion cycle and the bending angle of each joint.

3. The method for calibrating an ergonomic digital human based on a digital standard human according to claim 2, characterized in that: The specific analysis process of analyzing the appearance data and action data of the ergonomic digital human is as follows: The pupil diameter of the ergonomic digital human eye, the maximum visual angle of the eye, and the distance from the inner corner of the left eye to the inner corner of the right eye are respectively processed with the pupil reference diameter of the digital standard human eye, the visual adaptation angle of the eye, and the reference distance from the inner corner of the left eye to the inner corner of the right eye preset in the digital standard human database. The obtained ratios are respectively multiplied by the correction factors corresponding to the eye characteristics preset in the digital standard human database, and the sum is processed. The final value is recorded as the ergonomic digital human eye characteristic index; The length, width, bridge of nose height and nostril diameter of the ergonomic digital human nose are respectively compared with the reference length, reference width, reference bridge of nose height and reference nostril diameter of the digital standard human nose preset in the digital standard human database, and the obtained ratios are respectively multiplied by the correction factors corresponding to the nose characteristics preset in the digital standard human database, and the sum is performed, and the final value is recorded as the ergonomic digital human nose characteristic index; The width, length and lip thickness of the ergonomic digital man's mouth are respectively compared with the reference width, reference length and reference lip thickness of the digital standard man's mouth preset in the digital standard man database, and the obtained ratios are respectively multiplied by the correction factors corresponding to the mouth characteristics preset in the digital standard man database, and the sum is performed. The final value is recorded as the ergonomic digital man's mouth characteristic index; The auricle length, width, thickness and ear hole diameter of the ergonomic digital human ear are respectively ratioed with the auricle reference length, reference width, reference thickness and ear hole reference diameter of the digital standard human ear preset in the digital standard human database, and the obtained ratios are respectively multiplied by the correction factors corresponding to the ear characteristics preset in the digital standard human database, and the sum is processed, and the final value is recorded as the ergonomic digital human ear characteristic index; The contour area of ​​the ergonomic digital human face is processed by ratioing the contour area of ​​the digital standard human face preset in the digital standard human database, and the obtained ratio is multiplied by the correction factor corresponding to the contour area preset in the digital standard human database to obtain the ergonomic digital human face feature index; The eye feature index of the ergonomic digital human, the nose feature index of the ergonomic digital human, the mouth feature index of the ergonomic digital human, the ear feature index of the ergonomic digital human and the face feature index of the ergonomic digital human are summed up to finally obtain the facial feature index of the ergonomic digital human; The height, weight, upper limb length, lower limb length and body surface area of ​​the ergonomic digital person are respectively ratioed with the reference height, reference weight, upper limb reference length, lower limb reference length and body surface area of ​​the digital standard person preset in the digital standard person database, and the obtained ratios are respectively multiplied by the correction factors corresponding to the body surface characteristics preset in the digital standard person database, and the sum is processed, and the final value is recorded as the ergonomic digital person surface characteristic index; The average speed of the ergonomic digital human in the motion cycle and the bending angle of each joint are ratioed with the average reference speed of the digital standard human in the motion cycle and the reference bending angle of each joint preset in the digital standard human database. The obtained ratios are multiplied by the correction factors corresponding to the motion states preset in the digital standard human database, and the sum is performed to finally obtain the ergonomic digital human motion state index.

4. The method for calibrating an ergonomic digital human based on a digital standard human according to claim 1, characterized in that: The expression data and sound data of the ergonomic digital human specifically include: The expression data of the ergonomic digital human include the curvature of the corner of the mouth corresponding to each expression of the ergonomic digital human, and the distance between the center point of the upper eyelid and the center point of the lower eyelid of the ergonomic digital human; The radian of the mouth corner corresponding to each expression of the ergonomic digital human is subtracted from the initial radian of the mouth corner of the digital standard human preset in the digital standard human database to obtain the radian of the mouth corner change of the ergonomic digital human, and the radian of the mouth corner change of the ergonomic digital human is multiplied by the influence factor corresponding to the unit value of the radian of the mouth corner change preset in the digital standard human database to obtain the ergonomic digital human mouth corner change index; The distance between the upper eyelid center point and the lower eyelid center point of the ergonomic digital human eye is subtracted from the initial distance between the upper eyelid center point and the lower eyelid center point of the digital standard human eye preset in the digital standard human database, and the obtained value is recorded as the eye opening degree of the ergonomic digital human eye, and the value is multiplied by the influence factor corresponding to the eye opening degree unit value preset in the digital standard human database to obtain the eye opening index of the ergonomic digital human eye; The ergonomic digital human's mouth corner change index and the ergonomic digital human's eye opening and closing index are summed to obtain the ergonomic digital human's expression change index; The sound data of the ergonomic digital human include the average decibel of the ergonomic digital human's voice and the average speaking speed of the ergonomic digital human.

5. The method for calibrating an ergonomic digital human based on a digital standard human according to claim 1, characterized in that: The ergonomic digital human calibration evaluation index of the digital human simulation system, the specific analysis process is as follows: The ergonomic digital human calibration index, functional calibration index and interaction calibration index are comprehensively analyzed to finally obtain the ergonomic digital human calibration evaluation index of the digital human simulation system. The specific analysis formula is: Wherein, δ is the ergonomic digital human calibration evaluation index of the digital human simulation system, e is a natural constant, φ1 is the morphological calibration index of the ergonomic digital human, η is the functional calibration index of the ergonomic digital human, τ is the interactive calibration index of the ergonomic digital human, f1 is the weight factor of the morphological calibration index of the ergonomic digital human preset in the digital standard human database, f2 is the weight factor of the functional calibration index of the ergonomic digital human preset in the digital standard human database, and f3 is the weight factor of the interactive calibration index of the ergonomic digital human preset in the digital standard human database.

6. The method for calibrating an ergonomic digital human based on a digital standard human according to claim 1, characterized in that: The ergonomic calibration of the ergonomic digital human of the digital human simulation system is optimized, and the specific optimization process is as follows: The ergonomic digital human calibration evaluation index of the digital human simulation system is compared with the set digital standard human calibration reference index to obtain the calibration accuracy value of the ergonomic digital human, and matched with the calibration optimization strategy corresponding to the calibration accuracy value interval of each ergonomic digital human to obtain the calibration optimization strategy of the ergonomic digital human, thereby realizing the ergonomic calibration optimization of the ergonomic digital human of the digital human simulation system.

7. A system using the method for calibrating an ergonomic digital human based on a digital standard human as claimed in any one of claims 1 to 6, characterized in that: include: The ergonomic digital human data acquisition module is used to obtain the appearance data, action data, expression data, sound data and interaction data of the ergonomic digital human of the digital human simulation system; The ergonomic digital human data analysis module is used to analyze the appearance data and action data of the ergonomic digital human to obtain the morphological calibration index of the ergonomic digital human, analyze the expression data and sound data of the ergonomic digital human to obtain the functional calibration index of the ergonomic digital human, and obtain the interaction calibration index of the ergonomic digital human by analyzing the interaction data of the ergonomic digital human; The ergonomic digital human calibration evaluation module is used to comprehensively analyze the morphological calibration index, functional calibration index and interaction calibration index of the ergonomic digital human, and obtain the ergonomic digital human calibration evaluation index of the digital human simulation system; The ergonomic digital human calibration evaluation and optimization module is used to compare the ergonomic digital human calibration evaluation indicators of the digital human simulation system with the set digital standard human calibration reference indicators, and finally optimize the ergonomic calibration of the ergonomic digital human of the digital human simulation system.

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