JP3557052B2 - Human body image generation device - Google Patents

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a human body image generation device and a human body image generation method for generating a simulated human body part or all image using, for example, computer graphics (CG).
[0002]
[Prior art]
2. Description of the Related Art Conventionally, in a device for synthesizing an animation image of a part or the whole of a human body, a technology capable of explicitly giving a specific main operation and automatically generating other subordinate operations during the operation. For example, a blinking signal generating method for synthesizing a face moving image disclosed in Japanese Patent Application Laid-Open No. Hei 2-16681, a face image synthesizing apparatus disclosed in Japanese Patent Application Laid-Open No. Hei 3-74777, and 6-54498) has been proposed.
[0003]
The blink signal generation method for facial moving image synthesis disclosed in Japanese Patent Application Laid-Open No. Hei 2-16681 discloses a face which is imaged at regular intervals in a videophone or videoconference and transmitted and displayed via a public telephone line. In addition to deforming the mouth part according to the utterance state of the still image of, the blinking frequency between utterance and non-utterance is changed, so that a more natural face moving image can be displayed It is.
[0004]
Further, a face image synthesizing apparatus disclosed in Japanese Patent Application Laid-Open No. 3-74777 discloses a still image of a face which is imaged at regular intervals in a videophone or video conference and transmitted and displayed through a public telephone line. In addition to deforming the mouth and surrounding area according to the vocalization state, it is possible to display a more natural facial moving image by randomly generating blinks and head fluctuations that are unconscious behavior It was done.
[0005]
The judgment information display device disclosed in Japanese Patent Publication No. 6-54498 uses a facial expression as judgment information displayed by a computer, and performs an interpolation operation process using a plurality of primitive expression surface data. By performing the transformation process of the expression curved surface data according to the above, it is possible to create and display a face image having an intermediate expression having different expressions of a plurality of primitive face images.
[0006]
However, in the blinking signal generation method for synthesizing a face moving image disclosed in the above-mentioned Japanese Patent Application Laid-Open No. Hei 2-16681, the frequency of blinking is newly increased due to utterance or non-utterance along with a change in the mouth portion according to the utterance state. Although it is possible to make changes, it does not take into account a wide range of effects such as environmental, psychological and physiological conditions and cannot describe natural changes in the body other than the mouth and blinking.
[0007]
For example, it has not been possible to express a face image in response to the environmental influence that the frequency of blinking increases when the air is dry, and the blinking decreases when looking at an object with concentration.
[0008]
Further, in the face image synthesizing apparatus disclosed in Japanese Patent Application Laid-Open No. Hei 3-74777, the influence of a mental state on a body image due to a mental state is generated by randomly generating blinks and head fluctuations, which are unconscious actions. Although it was possible to express it, it was not possible to express the systematic effects of various factors using rational indicators of psychological state such as degree of concentration and degree of excitement.
[0009]
For example, it has not been possible to express a face image in which the gaze tends to be fixed when the degree of concentration increases.
[0010]
Further, in the judgment information display device disclosed in Japanese Patent Publication No. 6-54498, various synthesis at the surface level with respect to the expression of the face image is enabled, but the combination of a plurality of factors affecting the change of the expression is enabled. It was not possible to express the temporal change of facial expression due to the synthesis by non-linear coupling or the influence of multiple factors.
[0011]
For example, it was not possible to show a non-linear part where the face suddenly became stiff due to the cold, or a hysteresis phenomenon in which the face did not stop easily once it began to tremble.
[0012]
[Problems to be solved by the invention]
As described above, in the conventional image generation technology, only a limited part of a limited range of factors affecting the movement of the body is considered, and for example, a psychological state, a physiological state, and an environmental state are systematically determined. There is a problem that it is impossible to change the movement of the body by handling it.
[0013]
In addition, there is a problem that it is impossible to express a body motion in consideration of a nonlinearity of an external influence and a time transition such as an environmental state.
[0014]
The present invention has been made in view of such problems, and has as its object to take into account many systematic states such as a psychological state, a physiological state, and an environmental state. A human body image generation device capable of generating a natural human body image close to the real one by generating a visually perceptible change in the human bodyToTo provide.
[0015]
[Means for Solving the Problems]
A human body image generation device according to claim 1 of the present invention is a human body image generation device that generates a partial or entire image of a simulated human body, and generates a parameter indicating a state of an environment according to a surrounding environment. Environmental parameter generating means for generating, and a psychological parameter generating means for generating a parameter indicating a psychological state according to the parameters of the environmental state generated by the environmental parameter generating means and the psychological characteristics of a human body for which an image is to be generated A physiological parameter generating unit that generates a parameter indicating a physiological state according to the environmental state parameter generated by the environmental parameter generating unit and a physiological characteristic of a human body for which an image is to be generated; and the psychological parameter. The parameter of the psychological state generated by the generating means and the physiological state generated by the physiological parameter generating means Parameter updating means for updating parameters in accordance with the parameters generated by the mutual parameter generating means, and at least one of the environmental state parameter, the psychological state parameter and the physiological state parameter Image generating means for generating an image of a human bodyIs what you do.
Further, in the psychological parameter generation means, a relationship between an externally applied parameter and a parameter indicating a mental state generated by the psychological parameter generation means, and in the physiological parameter generation means, an externally provided parameter and the physiological The relation with the parameter indicating the state of the physiology generated by the parameter generation means is set as the relation of the fuzzy function.It is characterized by the following.
[0016]
A human body image generating apparatus according to a second aspect of the present invention is a human body image generating apparatus that generates a partial or entire image of a simulated human body, and generates a parameter indicating a state of an environment according to a surrounding environment. Environmental parameter generating means for generating, and a psychological parameter generating means for generating a parameter indicating a psychological state according to the parameters of the environmental state generated by the environmental parameter generating means and the psychological characteristics of a human body for which an image is to be generated A physiological parameter generating unit that generates a parameter indicating a physiological state according to the environmental state parameter generated by the environmental parameter generating unit and a physiological characteristic of a human body for which an image is to be generated; and the psychological parameter. The parameter of the psychological state generated by the generating means and the physiological state generated by the physiological parameter generating means Parameter updating means for updating parameters according to the parameters generated by the mutual parameter generating means, a shape data registration unit in which data representing the shape of the human body is registered, and data representing the motion of the human body are registered. The motion data registration unit and the data representing the shape of the human body read from the shape data registration unit are used as a basis, and the parameters of at least one of the parameters of the environmental condition, the parameters of the psychological condition, and the parameters of the physiological condition are used as parameters. Shape data generating means for generating data representing the shape of a human body according to the data of the human body read out from the motion data registration unit; Data representing the action of the human body according to at least one of the parameters of Generating an image of a human body by combining data representing a shape of a human body generated by the shape data generating means with data representing a motion of the human body generated by the motion data generating means; Image generating meansIs what you do.
Further, in the psychological parameter generation means, a relationship between an externally applied parameter and a parameter indicating a mental state generated by the psychological parameter generation means, and in the physiological parameter generation means, an externally provided parameter and the physiological The relation with the parameter indicating the state of the physiology generated by the parameter generation means is set as the relation of the fuzzy function.It is characterized by the following.
[0017]
In other words, the human body image generating apparatus according to claim 1 or 2 has means for changing the human body image according to the environmental condition. For example, when the temperature is low, the face is turned blue, and when the wind is strong, the hair is turned on. By fluttering, an image close to a real person can be obtained.
[0018]
In addition, since there is a means for changing the human body image according to the psychological state, for example, the face is flushed when the degree of excitement is high, the face is blue when the degree of anxiety is high, or the degree of concentration is high. In this case, an image close to a real person can be obtained by reducing the movement of the line of sight.
[0019]
Also, since it has means for changing the human body image according to the physiological state, for example, it is possible to make the complexion blue when the body temperature is low, to lose the luster when the skin is dry, and to close the pupil when it is dazzling. Thus, an image close to a real person can be obtained.
Furthermore, since there is a means for setting the mutual relationship of each state parameter by a fuzzy function, for example, when the physiological state is "slightly cold", when the psychological state is "less anxious", what kind of complexion will be In such a case, it is easy to set a function for expressing a body motion. In addition, for example, it is possible to express a body motion by a non-linear combination of mutually strengthening and weakening effects such as a sudden reddish face in an environment and psychological state of "a little warm and high concentration". . Furthermore, a body motion in a case where a different motion is included can be easily expressed according to a combination of input values of each state.
[0020]
Further, the human body image generating apparatus according to claim 2 has means for modularizing and expressing the motion and shape of the body, so that when generating a human body image of a motion such as walking fast, for example, an operation module called “walking” By selecting a shape module such as "foot" and specifying a motion such as "fast", an image close to a real person can be obtained by expressing a small number of motions.
[0021]
A human body image generating apparatus according to claim 3 of the present invention is the human body image generating apparatus according to claim 1 or 2,An individual difference generating unit that generates a parameter indicating a different characteristic according to an individual human body to be image-generated, wherein the psychological parameter generating unit includes a parameter of an environmental state generated by the environmental parameter generating unit and the individual A parameter indicating a state of mind is generated according to a parameter of the individual difference generated by the difference generating unit and a psychological characteristic of a human body to be subjected to image generation, and the physiological parameter generating unit includes the environmental parameter generating unit. And generating a parameter indicating a physiological state according to the parameter of the environmental state generated by the above, the parameter of the individual difference generated by the individual difference generating unit, and the physiological characteristics of the human body to be image-generated. is there.
Further, in the psychological parameter generating means, a relationship between a parameter of an environmental state generated by the environmental parameter generating means and a parameter of a mental state generated by the psychological parameter generating means is set as a fuzzy function relation, A parameter change of the psychological state according to the influence of the parameter of the individual difference generated by the individual difference generating means is set as a change of a shape of a membership function in the fuzzy function, and the physiological parameter generating means includes: The relationship between the parameter of the environmental state generated by the generating unit and the parameter of the physiological state generated by the physiological parameter generating unit is set as a fuzzy function relationship, and the parameter of the individual difference generated by the individual difference generating unit is set. Before the effect of Characterized in that setting the change in the physiological state parameters as a change in the shape of the membership function in the fuzzy function.
[0022]
In other words, the human body image generating apparatus according to claim 3 has means for changing a psychological state depending on individual differences. For example, in the case of a person who is easily nervous, his face may be stiffened immediately, or a reaction sensitive to surprise may occur. In the case of a race showing the following, an image close to a real person can be obtained by making an exaggerated reaction.
[0023]
In addition, since it has means for changing the physiological state depending on individual differences, for example, by changing the light condition of the skin according to age, or by changing the light condition of the skin by gender, an image close to a real person can be obtained. Obtainable.
Furthermore, since it has means for changing the shape of the membership function of the fuzzy set that sets the interrelationship of each state parameter, for example, the expression of the difference in body movement due to individual differences such as "a cold person turns blue immediately" Becomes possible.
[0036]
Claims of the invention4Is a human body image generation device that generates a simulated human body image, in a human body image generation device that generates a simulated human body image, the state of the environment according to the surrounding environment Environmental parameter generating means for generating parameters indicating the environment, sample input means for inputting sample values indicating the state of the environment, sample values indicating the physiological state of the human body, and sample values indicating the psychological state of the human body in any combination. A physiological category input unit for inputting a category of a physiological state of a human body, and an image corresponding to a combination of a sample value indicating a state of an environment and a sample value indicating a physiological state of a human body input by the sample input unit. A physiological characteristic generating means for generating a physiological characteristic corresponding to the category of the human body to be generated, which is input by the physiological category input means; And generating a parameter indicating a physiological state according to the environmental state parameter generated by the environmental parameter generating unit and the physiological characteristic of a human body to be image-generated by the physiological characteristic generating unit. Physiological parameter generating means, a psychological category inputting means for inputting a category of a psychological state of the human body, sample values indicating the physiological state of the human body and sample values indicating the psychological state of the human body input by the sample inputting means, A psychological characteristic generating means for generating a psychological characteristic corresponding to a category of the human body to be subjected to image generation input by the psychological category inputting means, and a physiology generated by the physiological parameter generating means. Indicating the state of the human body and the mind of the human body for which the image generated by the psychological characteristic generating means is to be generated. Parameter generating means for generating a parameter indicating the state of mind, sample values indicating the physiological state of the human body and sample values indicating the psychological state of the human body input by the sample input means, A shape characteristic generating unit for generating characteristics of a shape change of a human body to be subjected to image generation, a shape data registration unit in which data representing the shape of the human body is registered, and a readout from the shape data registration unit. Based on the output data representing the shape of the human body, the parameters of the physiological state generated by the physiological parameter generating means and the parameters of the psychological state generated by the psychological parameter generating means and generated by the shape characteristic generating means Shape data generating means for generating data representing the shape of the human body according to the shape change characteristic; An operation characteristic generation unit configured to generate a characteristic of a motion of a human body to be image-generated according to a combination of a sample value indicating a physiological state of the human body and a sample value indicating a psychological state of the human body input by the unit; An operation procedure input means for inputting a procedure of an operation of a human body for which an image is to be generated, an operation data registration unit in which data representing the operation of the human body is registered, and a procedure of the human body operation input by the operation procedure input means Based on the data representing the motion of the human body read from the motion data registration unit in accordance with the parameters of the physiological state generated by the physiological parameter generating means and the parameter of the psychological state generated by the psychological parameter generating means, and Motion data generation for generating data representing the motion of the human body according to the characteristics of the human motion generated by the motion characteristic generating means And an image generating means for generating an image of a human body by combining data representing the shape of the human body generated by the shape data generating means and data representing the motion of the human body generated by the motion data generating means. didThings.
Further, in the physiological characteristic generated by the physiological characteristic generating means, the relationship between the parameter of the environmental state and the parameter of the physiological state corresponding to the category input by the physiological category inputting means, and by the psychological characteristic generating means. In the generated psychological characteristics, the relationship between the parameter of the physiological state and the parameter of the psychological state corresponding to the category input by the psychological category input unit, and the characteristic of the shape change generated by the shape characteristic generating unit In the relationship between the parameters of the physiological state and the parameters of the shape change with respect to the parameters of the psychological state, and the characteristics of the motion generated by the motion characteristic generating means, the parameters of the motion with respect to the parameters of the physiological state and the parameters of the psychological state, Was set as a fuzzy function relation And wherein the door.
[0037]
In other words, the claims4The human body image generation device according to the present invention inputs a sample value of an environmental state and a sample value of a physiological state belonging to a category of a physiological state appearing in a human body to be subjected to image generation, and inputs a physiological characteristic of the human body with respect to an environmental parameter. Is generated, for example, the phenomenon of sweating can be selected as a physiological condition appearing in a running person, and the characteristics of the amount of sweating according to the outside temperature can be described on the basis of reality. In addition to that, according to any value of the environmental parameter, since there is a means for obtaining a parameter of the physiological state according to the physiological characteristics, for example, depending on various environments, such as how much sweating when running at full speed A physiological state can be obtained, and an image close to a real person adapted to environmental changes can be obtained.
[0038]
Also, a means for inputting a sample value of a physiological state and a sample value of a psychological state belonging to a category of a psychological state appearing in a human body for which an image is to be generated, and generating a psychological characteristic for the physiological state parameter is provided. For example, the degree of excitement can be selected as a psychological state that appears to a person who takes a test, and characteristics of the degree of excitement according to blood pressure can be described based on reality. In addition, according to an arbitrary value of the physiological state parameter, since there is a means for obtaining the parameter of the psychological state according to the psychological characteristics, various physiological conditions such as how much the blood pressure lowers the excitement can be reduced. A psychological state according to the state can be obtained, and an image close to a real person adapted to a change in the physiological state can be obtained.
[0039]
In addition, since a sample value of a physiological state and a sample value of a psychological state are input and a means for generating characteristics of shape change of a human body is provided, for example, when the body temperature is high and the degree of excitement is high, Whether to flush or not can be described based on reality. In addition, since there is a means for determining a shape change in accordance with the shape change characteristics according to arbitrary values of the physiological state parameter and the psychological state parameter, for example, if the body temperature is low when the degree of excitement is high, Can be obtained according to various states such as whether the image returns to normal, and an image close to a real person can be obtained.
[0040]
In addition, since a means for inputting a sample value of the physiological state and a sample value of the psychological state and generating characteristics of the movement change of the human body is provided, for example, when the body temperature is high and the degree of concentration is low, Can be described based on reality. In addition, since there is a means for obtaining an action change according to the action change characteristic according to arbitrary values of the physiological state parameter and the psychological state parameter, for example, when the concentration is low, if the body temperature becomes low, An operation change according to various states such as whether the speed returns to normal can be obtained, and an image close to a real person can be obtained.
Furthermore, since the relationship between input and output in each characteristic generating means is set by the fuzzy function, for example, a threshold value is determined, and a sample value of a physiological state such as when the body temperature is low, when the body temperature is high, or when neither is normal, By simply describing changes in complexion in combination with sample values of psychological states, such as when the degree of anxiety is low, high, or neither, it is possible to specify specific physiological state parameters and psychological state parameters. It is possible to quantitatively infer how much the complexion changes with respect to the combination, and express changes in the human body in various states with a simpler description.
[0041]
Claims of the invention5The human body image generation device according to claim4Wherein the environmental parameter generating means is an environmental sensor for detecting a surrounding environmental state.
[0042]
In other words, the claims5The human body image generation device according to the present invention has means for acquiring the state value of the real environment in real time, so that, for example, when the temperature in the real world suddenly drops, the real human Can be obtained.
[0043]
Claims of the invention6The human body image generation device according to claim4In the human body image generation device related toThe apparatus further includes individual difference generating means for generating parameters indicating different characteristics according to individual human bodies to be image-generated, wherein the physiological characteristic generating means includes a sample value indicating a state of an environment input by the sample input means. Corresponding to the category of the human body to be image-generated by the physiological category input means according to the combination with the sample value indicating the physiological state of the human body and the parameter of the individual difference generated by the individual difference generating means. The physiological characteristic generating means, wherein the psychological characteristic generating means, the combination of a sample value indicating the physiological state of the human body and a sample value indicating the psychological state of the human body input by the sample input means and the individual difference According to the parameter of the individual difference generated by the generating means, the input is performed by the psychological category input means of the human body for which the image is to be generated. Generating a psychological characteristic corresponding to the category, wherein the shape characteristic generating means calculates a difference between the sample value indicating the physiological state of the human body and the sample value indicating the psychological state of the human body input by the sample inputting means. According to the combination and the parameter of the individual difference generated by the individual difference generating unit, a characteristic of a shape change of a human body to be image-generated is generated, and the operation characteristic generating unit is input by the sample input unit. According to the combination of the sample value indicating the physiological state of the human body and the sample value indicating the psychological state of the human body, and the parameter of the individual difference generated by the individual difference generating means, the operation of the human body to be subjected to image generation is performed. To generate the characteristics.
Further, in the physiological characteristics generated by the physiological characteristic generating means, a relation between a parameter of an environmental state and a parameter of a physiological state corresponding to the category input by the physiological category inputting means is set as a relation of a fuzzy function. At the same time, a change in the parameter of the physiological state according to the influence of the parameter of the individual difference generated by the individual difference generating unit is set as a change in the shape of the membership function in the fuzzy function, and the change is generated by the psychological characteristic generating unit. In the psychological characteristics to be set, the relationship between the parameter of the physiological state and the parameter of the psychological state corresponding to the category input by the psychological category input means is set as a fuzzy function relation and generated by the individual difference generating means. The psychological state according to the effect of the parameter of the individual difference Is set as a change in the shape of the membership function in the fuzzy function, and in the shape change characteristic generated by the shape characteristic generating means, the shape change parameter with respect to the physiological state parameter and the psychological state parameter Is set as the relationship of the fuzzy function, and the change of the parameter of the shape change in accordance with the influence of the parameter of the individual difference generated by the individual difference generating means is the change of the shape of the membership function in the fuzzy function. In the characteristic of the motion generated by the motion characteristic generating means, the relation between the parameter of the physiological state and the parameter of the psychological state is set as the relation of the fuzzy function, and the individual difference generating means is set. Of the parameters of the individual differences generated by The change in the parameter of the operation according to the sound, characterized in that set as changes in the shape of the membership function in the fuzzy function.
[0044]
In other words, the claims6Since the human body image generating apparatus according to the present invention has means for changing physiological characteristics depending on individual differences, for example, the degree of shining of the skin is changed according to age, or in the case of sweating, sweat is immediately released. Thus, an image close to a real person can be obtained.
[0045]
In addition, since there is a means for changing the psychological characteristics due to individual differences, for example, in the case of a person who is easily nervous, the face is immediately turned blue, or an angry person is immediately frowned. Thus, an image close to a real person can be obtained.
[0046]
In addition, since it has means for changing the shape change characteristics of the human body depending on individual differences, for example, a laughter can be formed immediately when laughing, or wrinkles between eyebrows immediately when angry, etc. A close image can be obtained.
[0047]
In addition, since it has means to change the motion change characteristics of the human body depending on individual differences, it is possible to obtain an image close to a real person by changing the walking speed depending on age, changing the way to open the mouth when sneezing, etc. Can be.
[0051]
Further, claim 6In the human body image generation device according to the present invention, the influence of individual differences on the characteristics generated by the respective characteristic generation means is described as a change in the shape of the membership function of the fuzzy set. When the change of the complexion, which is the characteristic of the shape change with respect to the parameter of the psychological state of anxiety and the degree of anxiety, is described in fuzzy, it is possible to add an effect according to individual differences such as in the case of a person who is cold Thus, a more realistic human body image can be generated.
[0054]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, embodiments of the present invention will be described with reference to the drawings.
[0055]
[First Basic Embodiment]
FIG. 1 is a block diagram showing an entire configuration of a human body image generation device according to a first basic embodiment of the present invention.
[0056]
First, in this human body image generation device, the state of the human body is considered separately in a psychological state and a physiological state. Examples of the psychological state include a degree of concentration, a degree of excitement, a degree of tension, and a degree of anxiety. Examples of the physiological condition include a degree of fatigue, body temperature, blood pressure, and the like.
[0057]
That is, the “physiological state” here is a quantity that objectively represents the state of each part of the body, such as body temperature and blood pressure.
[0058]
The “psychological state” is a quantity indicating a subjective state of a person with respect to each part of the body, and includes, for example, a degree of concentration, a degree of excitement, a degree of tension, a degree of anxiety, and the like.
[0059]
The part that generates the parameter indicating the psychological state is referred to as a psychological state generator 1. In addition, a part that generates a parameter indicating a physiological state is referred to as a physiological state generating unit 2. Note that the generation here includes acquisition of information from an external database or the like in addition to the calculation inside the computer.
[0060]
Both of these psychological states and physiological states are influenced by invariable amounts in a short time called individual difference. As the individual difference, a personality, a habit, a climate, a physique, an age, a gender, and the like are considered. The part that generates this individual difference is referred to as an individual difference generator 3.
[0061]
Further, there is an influence on the physical condition by the external environment state, and a part that generates the environmental state is referred to as an environmental state generation unit 4. The environmental condition generator 4 directly acts on both the psychological condition and the physiological condition.
[0062]
For example, it is conceivable that an action such as a decrease in concentration, which is a psychological state, occurs when a long time elapses as an environmental state, and an action, such as a body temperature, which is a physiological state, increases as the temperature increases as an environmental state.
[0063]
As described above, the psychological state and the physiological state determined according to the individual difference and the environmental state are the current physical states.
[0064]
When a human body movement is changed by CG (computer graphics), the CG is moved according to a predetermined operation script, and the form of the change is changed according to a psychological state, a physiological state, and a ring state. Do.
[0065]
Actually, the main operation to be performed by the CG is given in the operation script 5. The script of the operation referred to here is given by a general operation name such as “eat”, “drink”, “speak” and the function time.
[0066]
In accordance with the operation script 5, necessary operation data is selected from the CG operation data generation module 6, and the CG operation data generation unit 7 outputs the psychological state generated by the psychological state generation unit 1 and the physiological state generation unit 2 CG operation data is generated in accordance with the physiological state generated by the above.
[0067]
The CG operation data mentioned here is composed of a list of operation modules to be used and parameters given to the list.
[0068]
Further, when a change is made to a portion such as the shape of the CG, the change is made by changing a parameter added to the basic shape data 8. The basic shape data 8 includes the influence of each of the environmental state generated by the environmental state generator 4 and the psychological state generated by the psychological state generator 1 and the physiological state generated by the physiological state generator 2. The added shape data is generated by the CG shape data generation unit 9.
[0069]
The operation modules in the CG operation data creation module 6 are provided corresponding to various operations indicated by the operation script 5, and their changes are represented by parameters. Then, by executing the operation module, the CG of that part is created.
[0070]
That is, for example, in the operation module of “eat”, a parameter relating to “speed” can be selected. When the appetite is large, the parameter of “speed” is selected to be large. Created.
[0071]
The same applies to the basic shape data 8. For example, a parameter relating to "face color" can be selected for the shape data of "face surface", and when the temperature is low, the parameter of "face color" is set to "pale". Is selected, a “pale face” CG is created.
[0072]
Then, the CG shape data of, for example, “pale face” generated by the CG shape data generation unit 9 and the CG motion data of, for example, “quickly eat” generated by the CG motion data generation unit 7 are: The CG data generation unit 10 combines the data to generate data that is actually drawn as CG. At this time, the CG data generation unit 10 determines the state of the change of the body shape for each part of the body given as the CG shape data, corresponding to the CG motion data for each part. The parameters of the CG motion data represent, for example, a motion variable such as a representative point in each part of the body.
[0073]
In this way, based on the CG drawing data obtained by the CG data generation unit 10, the body image is synthesized by the image synthesis unit 11 and displayed as the generated image 13 via the output unit 12.
[0074]
FIG. 2 is a flowchart showing a human body image generation process by the human body image generation device in FIG.
[0075]
When the human body image generation process is started in the human body image generation device in FIG. 1, first, in the individual difference generation unit 3, a parameter indicating a characteristic of an individual difference corresponding to a body for which an image is to be generated is set for each individual. Is read out from an individual difference database (not shown) in which the characteristic data of (1) is stored in advance (step S1).
[0076]
Then, the parameter of the individual difference generated by the individual difference generating unit 3 and the parameter of the environmental state generated by the environmental state generating unit 4 are given to the psychological state generating unit 1, and the individual difference parameter and the environment A parameter of a psychological state indicating a psychological characteristic of a body to be image-generated is calculated and generated according to the state parameter (step S2).
[0077]
At the same time, the parameter of the individual difference generated by the individual difference generator 3 and the parameter of the environmental state generated by the environmental state generator 4 are given to the physiological state generator 2, and the individual difference A physiological state parameter indicating a physiological characteristic of a body to be image-generated is calculated and generated according to the parameter and the environmental state parameter (step S3).
[0078]
Then, the psychological state generating unit 1 generates a parameter of a psychological state according to the individual difference and the environmental state, and the physiological state generating unit 2 generates a physiological state according to the individual difference and the environmental state. Are generated, the generated parameters of the psychological state and the physiological state are further updated based on the mutual parameters (step S4).
[0079]
Here, the processing of generating the psychological and physiological state parameters in steps S1 to S4 is repeatedly executed at predetermined timings, and is stored as real-time characteristic information corresponding to a body for which an image is to be generated (step S5). ).
[0080]
Then, a module for generating a motion necessary for the physical motion read from the motion script 5 is selected from a CG motion data generating module 6 in which modules representing various physical motions are registered in advance, and the CG motion data generation module is generated. In the unit 7, operation data corresponding to the parameters of the psychological state and the parameters of the physiological state generated and stored in the step S5 are generated, and the parameters are set (step S6).
[0081]
At the same time, the body shape data to be subjected to image generation is read from the basic shape data 8 in which the shape data of each part of the body is registered in advance, and the CG shape data generation unit 9 generates and stores the data in step S5. Shape data according to the parameters of the psychological state and the parameters of the physiological state are generated and set (step S7).
[0082]
Then, in the CG data generation unit 10, the CG shape data (parameter) generated by the CG shape data generation unit 9 and the CG operation data (parameter) generated by the CG operation data generation unit 7 are combined. Then, the data for CG drawing is generated, the image is synthesized by the image synthesizing unit 11, and displayed and output (steps S8 and S9).
[0083]
FIG. 3 is a block diagram showing an overall configuration in a case where the human body image generating apparatus in FIG. 1 generates a human body image having an action of “eating”.
[0084]
First, a command for an operation of “eating” is given to the operation script 5.
[0085]
The individual difference generation unit 3 generates parameters corresponding to “like / dislike” and “eating habits” which are body individual differences for which an image is to be generated. Further, the environment state generation unit 4 generates parameters corresponding to the environmental states “temperature” and “smell”. Then, on the basis of the individual difference parameter and the environment (factor) state parameter, the psychological state generating unit 1 generates a parameter of “appetite degree” as the psychological state.
[0086]
That is, for example, if the user likes the individual difference and smells as the environmental state, the appetite increases as the psychological state.
[0087]
In addition, the individual difference generation unit 3 generates a parameter corresponding to “the size of the mouth” and “the size of the stomach” which are the individual differences of the body to be image-generated. Further, the environment state generation unit 4 generates a parameter corresponding to the environmental state “time”. Then, based on the individual difference parameter and the environment (factor) state parameter, the physiological state generating unit 2 generates a parameter of “hunger degree” as a physiological state.
[0088]
That is, for example, if a person having a large stomach as an individual difference does not eat anything for a long time as an environmental state, the hunger increases as a physiological state.
[0089]
The CG operation data generation unit 7 selects a meal operation module from the CG operation data generation module 6 according to the operation script 5 of “eating”, and expresses the “appetite” indicating the psychological state and the physiological state. CG operation data corresponding to each parameter of the "hunger degree" is generated.
[0090]
For example, when the “appetite degree” is large as the psychological state and the “hunger degree” is large as the physiological state, the CG operation data generated by the CG operation data generation unit 7 includes the operation data such as “eating guts”. Become.
[0091]
The CG shape data generation unit 9 selects shape data at the time of eating from the basic shape data 8 according to the operation script of “eat”, and “appetite degree” representing a psychological state and “hunger degree” representing a physiological state. CG shape data corresponding to each of the parameters is generated.
[0092]
For example, when the “appetite degree” is large as a psychological state and the “hunger degree” is large as a physiological state, the shape data generated by the CG shape data generation unit 9 indicates that “the complexion is insane, Shape data such as "peeled".
[0093]
Thus, according to the CG operation data of the meal obtained by the CG operation data generation unit 7 and the CG shape data obtained by the CG shape data generation unit 9, the CG drawing data is generated by the CG data generation unit 10. The generated CG is synthesized and generated by the image synthesizing unit 11.
[0094]
FIG. 4 is a flowchart showing a human body image generation process performed by the human body image generation device in the case of generating a human body image of the action "eat" in FIG.
[0095]
In the human body image generation apparatus in FIG. 3, when the human body image generation processing is started, first, in the individual difference generation unit 3, the characteristics of individual differences (such as food preference and stomach A parameter indicating the size is read from an individual difference database (not shown) in which characteristic data for each individual is stored in advance (step A1).
[0096]
Then, the parameters of the individual difference (food preference and stomach size) generated by the individual difference generating unit 3 and the parameter of the environmental state (time) generated by the environmental state generating unit 4 correspond to the physiological state. The parameters of the physiological state (hundred degree) indicating the physiological characteristics of the body for which the image is to be generated are calculated and generated in accordance with the individual difference parameter and the environmental state parameter (step A2). ).
[0097]
At the same time, the parameters of the individual differences (food preference and stomach size) generated by the individual difference generator 3 and the parameters of the environmental state (temperature) generated by the environmental state generator 4 are also included. A parameter of a psychological state (degree of appetite), which is provided to the psychological state generation unit 1 and indicates a psychological characteristic of a body to be image-generated according to the individual difference parameter and the environmental state parameter, is calculated and generated. (Step A3).
[0098]
Here, the processing of generating the state parameters of the psychological state (degree of appetite) and the physiological state (degree of hunger) in steps A1 to A3 is repeatedly executed at predetermined timings, and corresponds to the body for which an image is to be generated. Is stored as real-time psychological and physiological characteristic information (step A4).
[0099]
Then, a module for generating a motion required for the physical motion (eating) read from the motion script 5 is selectively extracted from a CG motion data generating module 6 in which modules representing various physical motions are registered in advance. (Step A5).
[0100]
Along with this, the CG operation data generation unit 7 generates and stores the data in step A4 based on the operation generation module (eating) selected and extracted from the CG operation data generation module 6 in step A5. The parameters of the eating action (speed of hand movement, speed of mouth movement, etc.) according to the parameters of the psychological state (degree of appetite) and the parameters of the physiological state (hungry degree) are calculated and generated (step A6). ).
[0101]
At the same time, the shape data of the body to be image-generated is read from the basic shape data 8 in which the shape data of each part of the body is registered in advance, and the CG shape data generation unit 9 generates and stores the data in step A4. Shape data corresponding to the parameters of the psychological state (degree of appetite) and the parameters of the physiological state (degree of hunger) are calculated and generated, and the parameters are set (step A7).
[0102]
Then, in the CG data generation unit 10, the CG shape data (parameter) generated by the CG shape data generation unit 9 and the CG operation data (parameter) generated by the CG operation data generation unit 7 are combined. Then, data for CG drawing taking into account individual differences, environmental conditions, mental states, and physiological states is generated, and the images are synthesized and displayed by the image synthesizing unit 11 (steps A8 to A10).
[0103]
The overall configuration and the operation example of the first basic embodiment in the human body image generation device of the present invention have been described above. However, in the following (first embodiment) to (fifth embodiment), FIG. 1, each device is configured using all or a part of the entire configuration of the human body image generation device of the first basic embodiment.
[0104]
FIG. 5 is a block diagram showing a basic configuration of a human body image generating apparatus according to claims 1 and 2 of the present invention.
[0105]
(1st Embodiment)
FIG. 6 is a block diagram illustrating a configuration of the human body image generation device according to the first embodiment of the present invention when generating a human body image corresponding to a temperature as an environmental state.
[0106]
The human body image generation device according to the first embodiment can represent a change in the human body such as flushing of the face according to the ambient temperature.
[0107]
First, the environment state generating unit 4 generates an external temperature as a parameter indicating the environment state. Next, according to the parameters of the environmental state (temperature), the mental state generating unit 1 generates (concentration) as a parameter representing the mental state. At the same time, the physiological condition generator 2 generates (body temperature) as a parameter representing the physiological condition.
[0108]
The degree of concentration generated by the psychological state generation unit 1 and the body temperature generated by the physiological state generation unit 2 affect each other. When the degree of concentration increases, the body temperature increases, or the body temperature causes concentration. Since the degree changes, the parameters of the physiological state (body temperature) are determined according to the parameters of the environmental state (temperature) and the parameters of the psychological state (degree of concentration), and the parameters of the mental state (degree of concentration). Is determined according to the parameters of the environmental condition (temperature) and the parameters of the physiological condition (body temperature).
[0109]
Now, the body is actually changed by the psychological state (degree of concentration) and the physiological state (body temperature) generated by each of the state generators 1 and 2. It is determined as a change in drawing data.
[0110]
That is, the parameter of the eye movement as the CG motion data changes according to the parameter of the degree of concentration which is a psychological state, and the parameter of the face color which is the CG shape data changes according to the parameter of the body temperature which is a physiological state. The movement of the human body to be drawn changes according to each state parameter, for example, the breathing parameter that is the CG movement data changes according to the parameters of the degree of concentration and the body temperature.
[0111]
Such CG operation data calls a CG operation data creation module 6 registered in advance as eye movements in accordance with the operation script 5, and the CG data generation unit 7 changes the CG operation data according to parameters of the psychological and physiological states of the body. Is given. Further, the CG shape data is represented by changing a parameter for changing a complexion color among parameters registered in advance as the basic shape data 8 according to the psychological state and the physiological state of the body. Then, by combining these in the CG data generation unit 10, CG drawing data is generated.
[0112]
Finally, the image is synthesized as a human body image by the image synthesizing unit 11 in accordance with the CG drawing data obtained by the CG data generating unit 10, and displayed and output via the output unit 12.
[0113]
Next, a detailed configuration operation in the human body image generation device of the first embodiment will be described.
[0114]
FIG. 7 is a block diagram illustrating a specific system configuration of the human body image generation device according to the first embodiment of the present invention when generating a human body image according to a temperature as an environmental state.
[0115]
Here, t represents the temperature, c represents the degree of concentration (represented by “0” to “1”, and “1” represents the maximum degree of concentration), b represents the body temperature, r represents the degree of flushing of the skin, and e represents the frequency of blinking. Then, for example, the function for generating c (concentration) under the influence of t (air temperature) and b (body temperature) in the psychological state generation unit 1 is represented as fc (t, b) or the like.
[0116]
FIG. 8 is a graph showing a function for fixing the body temperature b and determining the degree of concentration c in accordance with the temperature t in the psychological state generation unit 1 of the human body image generation device in FIG.
[0117]
FIG. 9 is a graph showing a function for fixing the temperature t and determining the degree of concentration c in accordance with the body temperature b in the psychological state generation unit 1 of the human body image generation device in FIG.
[0118]
FIG. 10 is a graph showing a function for determining the body temperature b in accordance with the temperature t with the degree of concentration c fixed in the physiological state generation unit 2 of the human body image generation device in FIG.
[0119]
FIG. 11 is a graph showing a function for fixing the temperature t and determining the body temperature b in accordance with the degree of concentration c in the physiological condition generation unit 2 of the human body image generation device in FIG.
[0120]
FIG. 12 is a graph showing a function for fixing the body temperature b and determining the flushing degree r in accordance with the concentration degree c in the CG shape data generating unit 9 of the human body image generating apparatus in FIG.
[0121]
FIG. 13 is a graph showing a function for determining the flushing degree r in accordance with the body temperature b with the degree of concentration c fixed in the CG shape data generating unit 9 of the human body image generating apparatus in FIG.
[0122]
FIG. 14 is a graph showing a function of fixing the body temperature b and determining the blinking speed e according to the degree of concentration c in the CG operation data generation unit 7 of the human body image generation device in FIG.
[0123]
FIG. 15 is a graph showing a function of fixing the degree of concentration c and determining the blinking speed e in accordance with the body temperature b in the CG operation data generation unit 7 of the human body image generation device in FIG.
[0124]
FIG. 16 is a graph showing a function for determining the shift amount Rshift of the red value R in accordance with the flushing degree r of the face in the CG data generation unit 10 of the human body image generation device in FIG.
[0125]
First, the environment state generation unit 4 generates a temperature t as a parameter of the environment state. Next, the body temperature b is set to a certain initial value, and the degree of concentration c is generated by the function fc (b, t) of the psychological state generation unit 1 (see FIGS. 8 and 9) based on the body temperature b and the temperature t. .
[0126]
When the degree of concentration c is obtained, the body temperature is obtained as a physiological state by the function fb (c, t) (see FIGS. 10 and 11) of the physiological state generating unit 2 and is updated mutually. Thus, hereinafter, each state parameter of the psychological and physiological states is updated in real time.
[0127]
The operation previously represented by CG is given as an operation script 5. For example, here is a script that "blinks".
[0128]
When the operation script 5 is read, the CG operation data generation unit 7 selects and extracts a blink operation module from the CG operation data creation basic module 6. Then, a parameter e representing the speed of blinking added to the module is a function fe (c, b) corresponding to the degree of concentration c of the mental state and the body temperature b of the physiological state [see FIGS. 14 and 15]. And the blinking speed e is determined.
[0129]
On the other hand, a parameter r representing the flushing degree of the face is selected and extracted from the basic shape data 8, and the parameter r of the flushing degree is determined according to the concentration c of the psychological state and the body temperature b of the physiological state. The function fr (c, b) is set by [see FIGS. 12 and 13], and the flushing degree r of the face is obtained.
[0130]
Then, the parameter of the blinking speed e generated by the CG motion data generation unit 7 and the parameter of the flushing degree r of the face generated by the CG shape data generation unit 9 are input to the CG data generation unit 10 and the CG data is generated. Drawing data is generated, and a human body image is synthesized by the image synthesis unit 11 in accordance with the generated data.
[0131]
Specifically, for example, the face flushing degree r is finally converted by the CG data generation unit 10 according to a function g (r) that determines a shift value of a red value according to the face flushing degree in FIG. Then, when actually displaying as image composite data, how much the R value of RGB is strengthened is determined according to the shift amount Rshift of the R value in the function g (r).
[0132]
Here, the functions (see FIGS. 8 to 16) set in each of the generation units will be specifically described.
[0133]
As shown in FIG. 8, the graph of the function fc (b, t) that determines the degree of concentration c when the body temperature b is fixed shows a change with a change in the temperature t.
[0134]
In this case, even if the temperature t is too high or too low, the concentration degree c does not increase.
[0135]
As shown in FIG. 9, the graph of the function fc (b, t) that determines the degree of concentration c when the temperature t is fixed shows a change with a change in the body temperature b.
[0136]
In this case, the concentration c decreases when the body temperature b is too high or too low, but the lower the body temperature b is, the lower the concentration c is.
[0137]
As shown in FIG. 10, the graph of the function fb (c, t) for determining the body temperature b when the degree of concentration c is fixed shows a change with a change in the temperature t.
[0138]
In this case, the body temperature b gradually increases as the temperature t increases, and the body temperature b gradually decreases as the temperature t decreases. In this example, a hysteresis characteristic is provided.
[0139]
As shown in FIG. 11, the graph of the function fb (c, t) that determines the body temperature b when the temperature t is fixed shows a change with the change in the degree of concentration c.
[0140]
In this case, the body temperature b increases with an increase in the degree of concentration c.
[0141]
Then, in accordance with the degree of concentration c and the body temperature b determined according to the functions as shown in FIGS. 8 to 11, the CG shape data creation unit 9 performs the function fr (c, b) as shown in FIGS. ), The flushing degree r of the face is determined.
[0142]
As shown in FIG. 12, the graph of the function fr (c, b) for determining the flushing degree r when the body temperature b is fixed shows a change with the change in the concentration degree c.
[0143]
In this case, as the concentration c increases, the flushing degree r of the face increases.
[0144]
As shown in FIG. 13, the graph of the function fr (c, b) that determines the flushing degree r when the concentration degree c is fixed shows a change with a change in the body temperature b.
[0145]
In this case, when the body temperature b increases, the flushing degree r of the face increases.
[0146]
In addition, in accordance with the degree of concentration c and the body temperature b determined according to the functions as shown in FIGS. 8 to 11, the CG motion data generation unit 7 performs the function fe (c, b) as shown in FIGS. ), The blinking speed e is determined.
[0147]
As shown in FIG. 14, the graph of the function fe (c, b) that determines the blinking speed e when the body temperature b is fixed shows a change with a change in the degree of concentration c.
[0148]
In this case, as the degree of concentration c increases, the blinking speed e decreases.
[0149]
As shown in FIG. 15, the graph of the function fe (c, b) that determines the blinking speed e when the degree of concentration c is fixed shows a change with a change in the body temperature b.
[0150]
In this case, whether the body temperature b is too high or too low, the blinking frequency e decreases.
[0151]
Then, according to the flushing degree r of the face determined according to the function fr (c, b) set in the CG shape data generating unit 9, the degree of enhancement of the actual red value R in the image synthesizing unit 11 is obtained. This is performed by increasing the R value according to the flushing degree r according to a function that determines the shift amount Rshift of the red value R according to the flushing degree r of the face, as shown in FIG. The shift amount of the R value in the increasing direction is defined as Rshift,
Rshift = g (r)
Determines the strength of the R value.
[0152]
(2nd Embodiment)
FIG. 17 is a block diagram illustrating a specific system configuration of a human body image generation device according to the second embodiment of the present invention when generating a human body image according to an age as an individual difference.
[0153]
In the human body image generation device according to the second embodiment, it is possible to represent a change in the degree of glow of the skin according to the age.
[0154]
First, the environment condition generation unit 4 generates temperature and humidity parameters as parameters indicating the environment condition. In addition, the individual difference generation unit 4 generates an age parameter as a parameter representing the individual difference. In accordance with the age parameter generated by the individual difference generating unit 3 and the temperature and humidity parameters generated by the environmental condition generating unit 4, the physiological condition generating unit 2 controls the physiological condition generating unit 2 to dry the skin as a parameter indicating the physiological condition. Generate degrees.
[0155]
Then, a command to display a face is called from the basic shape data 8, and the CG shape data generation unit 9 generates a CG according to parameters of the physiological state such as the degree of dryness of the skin obtained by the physiological state generation unit 2. Shape data is generated. Finally, the obtained CG shape data is combined as an image in the image combining unit 11.
[0156]
(Third embodiment)
FIG. 18 is a block diagram showing a specific system configuration of a human body image generation device according to the third embodiment of the present invention when generating a human body image according to the degree of tension as an individual difference.
[0157]
The human body image generation device according to the third embodiment can represent a change in the human body according to the degree of tension.
[0158]
First, the environment state generation unit 4 generates a temperature as a parameter indicating the environment state.
[0159]
Here, since the psychological tension has many personality effects, it is assumed that individual differences are expressed as individual differences using the degree of nervousness as a parameter. Generate.
[0160]
Then, in accordance with the temperature parameter generated by the environmental state generating unit 4 and the tonicity parameter generated by the individual difference generating unit 3, the mental state generating unit 1 determines the degree of concentration or Generate anxiety.
[0161]
In addition, time is considered as a parameter indicating the environment state generated by the environment state generation unit 4.
[0162]
Then, in accordance with the parameter of the time generated by the environment state generating unit 4 and the parameter of the degree of concentration or anxiety indicating the psychological state generated by the mental state generating unit 1, the physiological state generating unit 1 The degree of muscle fatigue is generated as a parameter representing a physiological state.
[0163]
Thereby, for example, a psychological state in which the tension decreases and the concentration decreases as the temperature decreases, or the concentration decreases as time passes, can be represented.
[0164]
The parameters in the basic shape data 8 are operated in accordance with the parameters of the psychological state generated by the psychological state generation unit 1, and the CG shape data generation unit 9 generates CG shape data according to the mental state. .
[0165]
For example, when the degree of anxiety of the psychological state is large, the parameters of the complexion in the basic shape data 8 are manipulated and output as CG shape data of a pale face.
[0166]
On the other hand, the operation parameters given by the operation script 5 are changed according to the psychological state, and the CG operation data generator 7 outputs the CG operation data.
[0167]
For example, when the operation script 5 is a script such as "speak", parameters such as the speaking speed and the pitch of the voice are changed in accordance with the psychological state parameters such as anxiety and concentration.
[0168]
Further, the parameters in the basic shape data 8 are operated in accordance with the physiological state generated by the physiological state generating unit 2, and CG shape data corresponding to the physiological state is generated in the CG shape data generating unit 9.
[0169]
For example, when the degree of muscle fatigue is large as a physiological condition, parameters such as face tension in the basic shape data 8 are manipulated and output as CG shape data of a tired face.
[0170]
Further, the parameters of the operation given by the operation script 5 are changed according to the physiological state generated by the physiological state generator 2, and the CG operation data generator 7 outputs CG operation data.
[0171]
For example, when the operation script 5 is an operation script such as "speak", the parameters such as how to open the mouth are changed according to the physiological state of muscle fatigue.
[0172]
Then, the CG shape data having the blue parameter of the complexion color generated by the CG shape data generation unit 9 and the CG operation data having the slow-moving operation parameter generated by the CG operation data generation unit 7 are: The images are combined in the CG data generation unit 10 and synthesized as an image in the image synthesis unit 11.
[0173]
(Fourth embodiment)
FIG. 19 is a block diagram illustrating a specific system configuration of a human body image generation device according to a fourth embodiment of the present invention, which generates a human body image in response to surprise of sound as an environmental state.
[0174]
In the human body image generation device according to the fourth embodiment, a surprising operation for sound can be expressed.
[0175]
First, the sound volume and vibration of the outside world are generated by the environment state generation unit 4 as parameters representing the environment state.
[0176]
In addition, considering individual sensitivity, habits, and personality due to age as individual differences, these parameters are generated by the individual difference generator 3.
[0177]
In accordance with parameters such as volume and vibration representing the environmental state generated by the environmental state generating unit 4 and parameters such as habits and personalities representing individual differences generated by the individual difference generating unit 3, the psychological state generating unit 1 The degree of excitement is generated as a parameter indicating a psychological state.
[0178]
That is, for example, a case is considered in which the degree of excitement related to surprise differs depending on the country, even if the volume of the environmental state is the same.
[0179]
Further, according to the volume or vibration representing the environmental state generated by the environmental state generating unit 4 and the sensitivity or age of the ear representing the individual difference generated by the individual difference generating unit 3, the ear in the physiological state generating unit 2. Is generated as a parameter indicating a physiological state.
[0180]
Then, when an instruction to display a surprised face is called as the action script 5, the surprised face action module is read out from the CG action data creation module 6, and the degree of excitement generated by the psychological state generator 1 is read. CG operation data is generated by the CG operation data generation unit 7 in accordance with the psychological state parameter such as the above and the physiological state parameter such as the ear sensitivity generated by the physiological state generation unit 2. .
[0181]
Then, according to the CG operation data obtained by the CG operation data generation unit 7, the image is synthesized by the image synthesis unit 11 as a human body image.
[0182]
Note that the operation modules extracted from the CG operation data creation module 6 include operation modules that open the eyes, raise the hands, and are surprised.
[0183]
(Fifth embodiment)
In the human body image generation device according to the fifth embodiment, in each parameter generation block in the human body image generation device according to each embodiment based on the first basic embodiment, a parameter input from another parameter generation block is used as a function. Means for obtaining the current value parameter in the parameter generation block will be described.
[0184]
Here, in each of the parameter generation blocks, a parameter representing a state or a factor is called a current value, and a parameter of another parameter generation block that affects the current value is called an input.
[0185]
FIG. 20 is a model diagram showing the relationship between the input xi (i = 1,..., N) of each parameter generation block and the current value y in the human body image generation device.
[0186]
As a simple example,
y = f (x1, x2,..., xn)
Means for determining the current value y in each parameter generation block.
[0187]
(Sixth embodiment)
In the human body image generation device according to the sixth embodiment, a case will be described in which the relationship between the input value xi and the current value y in each parameter generation block is set using a differential equation.
[0188]
Here, a human body image generating apparatus for generating a human body image according to the temperature as the environmental state in FIG. 6 is taken as an example. Further, time is represented by t and temperature is represented by T.
[0189]
FIG. 21 is a diagram showing a specific relationship between the input xi (i = 1,..., N) of each parameter generation block of the human body image generation device in FIG. 6 and the current value y, and FIG. FIG. 3B is a diagram showing a relationship when the current concentration degree c is obtained by inputting the temperature T and the body temperature b in the psychological state generation unit 1, and FIG. FIG. 9C shows a relationship in a case where the current body temperature b is obtained and the concentration degree c and the body temperature b are input in the CG shape data generation unit 9 to obtain the current flushing degree r of the face. FIG.
[0190]
In the sixth embodiment, the degree of concentration c is represented by a differential equation using the current value as a variable and the input as a parameter, as follows.
[0191]
dc / dt = f (param, c) [param: input] [f: function]
To summarize the derivation of this equation, first, at various inputs, the change in (dc / dt) due to the concentration c is examined, and f is described as a function of the concentration c. Then, when the degree of concentration c is fixed next, the change in f due to the input is examined, and the shape of f is finally determined.
[0192]
Hereinafter, the case of the mental state generating unit 1 using the concentration level c as the current value and the temperature T and the body temperature b as the input values (see FIG. 21A) will be specifically described.
[0193]
(1) The function form of t-dc / dt is examined from the t-c characteristic.
[0194]
In order to determine the functional form of f with respect to c, the change with time (tc characteristic) of the current value is examined. This includes an exponential decay type (Formula 1) and an inversely proportional case (Formula 2). There are several variations here. Accordingly, (dc / dt) is represented by a function of c.
[0195]
c = e^-T    → dc / dt = −c Equation 1
c = 1 / t → dc / dt = −c²      ... Equation 2
In this case, how to express the degree of concentration c is the biggest problem, but this is examined with various inputs (here, T and b), and the function form of (dc / dt) with respect to c is determined. Then, input conditions such as T and c are narrowed down to a limited range, so that a function form can be easily obtained.
[0196]
(2) A change in (dc / dt) due to various inputs is examined, and a function f of (dc / dt) = f (param, c) is determined.
[0197]
Next, after fixing c, the change of (dc / dt) due to T, b, etc. is examined, and finally the shape of f is determined.
[0198]
(3) Establish a differential equation for each parameter generation block.
[0199]
The above operation is performed in each parameter generation block, and the following simultaneous differential equations are established.
[0200]
dc / dt = f (param, c)
db / dt = f (param, b)
dr / dt = f (param, r)
[Numerical example]
For example, the following can be considered for the degree of concentration c.
[0201]
dc / dt = -k1 (T-25)²c²-K2 (b-36)²c ... Equation 3
k1, k2> 0
According to the above function, the concentration c has an exponential decay component and an inversely proportional component.
[0202]
The temperature T = 25 and the body temperature b = 36 are set as appropriate concentration temperatures. If the temperature deviates from this, the concentration degree c attenuates with time t. In the above equation 3, the deviation of the temperature T from the optimal temperature acts in inverse proportion to the temporal attenuation of the concentration c, and the deviation of the body temperature b from the optimal temperature acts exponentially on the temporal attenuation of the concentration c.
[0203]
(Seventh embodiment)
In the human body image generation device according to the seventh embodiment, a case will be described in which the relationship between the input value xi and the current value y in each parameter generation block is set using a fuzzy function.
[0204]
Here, the realizing means of the psychological state generating unit 1 will be described by taking a human body image generating apparatus for generating a human body image according to the temperature as the environmental state in FIG. 6 as an example.
[0205]
FIG. 22 is a diagram showing the relationship when the current concentration degree c is obtained by inputting the temperature T and the body temperature b in the psychological state generation unit 1 of the human body image generation device in FIG.
[0206]
The input to the psychological state generation unit 1 includes a temperature T and a body temperature b, and the ratio of these is set by a fuzzy set of the input.
[0207]
FIG. 23 is a diagram showing a fuzzy function expression with respect to the temperature T introduced for the human body image generating apparatus according to the first basic embodiment of the present invention.
[0208]
The state in which the temperature T is “low” is represented by L, the “high” state is represented by H, and the state of “neither intermediate” is represented by M.
[0209]
That is, according to the fuzzy function expression of FIG. 23, the probability L that the temperature T is low is “1” when the temperature is 20 degrees Celsius or less, and the probability L that the temperature T is low decreases to 25 degrees Celsius above that. It becomes “0”. The same applies to the state H where the temperature T is “high” and the state M where the temperature T is “intermediate”.
[0210]
FIG. 24 is a diagram showing a fuzzy function expression for a body temperature b introduced with respect to the human body image generation device according to the first basic embodiment of the present invention.
[0211]
The "low" state of the body temperature b is represented by L, the "high" state by H, and the "neither intermediate" state by M.
[0212]
That is, according to the fuzzy function expression in FIG. 24, the probability L that the body temperature b is low is "1" when the body temperature b is 36 degrees or less, and the probability L that the body temperature b is low decreases to 37 degrees C. The probability becomes “0” in degrees. The same applies to the state H in which the body temperature b is “high” and the state M in the “intermediate” state.
[0213]
FIG. 25 is a diagram showing a fuzzy function expression with respect to the degree of concentration c introduced for the human body image generating apparatus according to the first basic embodiment of the present invention.
[0214]
Here, the state where the concentration c is “low” is L, the state “high” is H, and the state “intermediate which is neither” is M.
[0215]
That is, according to the fuzzy function expression of FIG. 25, the probability L that the concentration c is low when the concentration c is 0.1 or less is “1”, and the probability L that the concentration c is low until the concentration c is 0.4 or more. Decreases and becomes 0.4 with a probability of 0.4. The same applies to the state H in which the degree of concentration c is “high” and the state M in the “intermediate” state.
[0216]
Next, using the fuzzy sets of the temperature T, the body temperature b, and the degree of concentration c shown in FIGS. 23, 24, and 25, the relationship between the input xi and the current value y is obtained in the psychological state generating unit 1. The means will be described.
[0217]
FIG. 26 is a diagram for explaining the fuzzy control law introduced for the human body image generating apparatus according to the first basic embodiment of the present invention. FIG. 26A shows the probability of the temperature T and the probability of the body temperature b. FIG. 4B is a table showing table data for determining the probability of the concentration c based on the combination. FIG. 4B shows the values of the concentration c obtained from the combination of each fuzzy set corresponding to the specific temperature T and body temperature b. It is a figure showing a process of calculating a value with high validity as a probability.
[0218]
First, in each fuzzy set, for all combinations of the input expressions of “high” H, “middle” M, and “low” L, the degree of concentration c for each combination is set as a table [see FIG. 26 (A)]. Give them according to the target or theory.
[0219]
Here, as an example, a case where the degree of concentration c is determined according to the following rules a to d will be described.
[0220]
a) When both the body temperature b and the temperature T are “intermediate” (M), the degree of concentration c is high (H).
[0221]
b) When the difference between the body temperature b and the temperature T is large, that is, when one is high (H) and the other is low (L), the degree of concentration c is low (L).
[0222]
c) When both the body temperature b and the temperature T are “high” (H), the concentration c is low (L).
[0223]
d) Otherwise, it is assumed that the degree of concentration c is high (H), not low (L), and is “intermediate” (M).
[0224]
Next, for the input of the current temperature T and the body temperature b, the degree of conformity of the degree of concentration c in each fuzzy set combination is determined.
[0225]
For example, a case where (T, b) = (27.5, 36.3) will be described.
[0226]
First, for each fuzzy set of inputs, combinations of inputs that are not "0" are listed, and the state of the degree of concentration c for the combination of inputs is obtained from a table [see FIG. 26 (A)].
[0227]
(1) T = M and b = M → c = H
(2) T = M and b = L → c = M
(3) T = H and b = M → c = M
(4) T = H and b = L → c = L
A combination of these causal relationships is called a rule.
[0228]
Next, consider the conformity of the rules. Here, the minimum value of the fitness (probability) based on each fuzzy set is adopted as the fitness of the rule.
[0229]
Then
(1) T = M (0.7) and b = M (0.2) → c = H (0.2)
(2) T = M (0.7) and b = L (0.6) → c = M (0.6)
(3) T = H (0.7) and b = M (0.2) → c = L (0.2)
(4) T = H (0.7) and b = L (0.6) → c = L (0.6)
Indicates the possibility of the degree of concentration c in each rule.
[0230]
From the fuzzy set of the degree of concentration c in each rule and the degree of concentration c in FIG. 25, the degree of concentration c when this temperature T = 27.5 degrees and body temperature b = 36.3 degrees is input is inferred.
[0231]
FIG. 27 is a diagram for explaining the rule of inference in the fuzzy function expression of the degree of concentration c introduced for the human body image generation device according to the first basic embodiment of the present invention.
[0232]
That is, in the fuzzy function expression of the degree of concentration c shown in FIG. 27, the degree of concentration c of each state (L, M, H) is truncated by the fitness of each combination condition in the fuzzy set, and the center of gravity of the union thereof is calculated Infer by asking.
[0233]
In the case of this numerical example, the required degree of concentration c is “approximately 0.4”.
[0234]
Thus, in each parameter generation block, the current value y of the state is obtained from the input xi according to the fuzzy function set in advance.
[0235]
(Eighth embodiment)
In the human body image generation device according to the eighth embodiment, the relationship between the input value xi and the current value y in each parameter generation block is set using a fuzzy function, and the influence of individual difference is given as a change in the shape of the membership function. The following describes the case where
[0236]
FIG. 28 is a diagram for explaining a change in the shape of the membership function introduced for the human body image generation device according to the first basic embodiment of the present invention.
[0237]
Here, a fuzzy set with respect to the temperature T as shown in FIG. 23 is taken as an example, and a smooth function as shown in FIG. 28 is given as its membership function.
[0238]
The maximum value (1.0) of the membership function is defined as the median difference Tc, and the variation width of the portion where the function value is halved (0.5) is defined as Wc.
[0239]
That is, the shape of the membership function is defined by Tc and Wc, and the center point Tc and the bandwidth Wc are changed according to the individual difference with respect to the temperature T.
[0240]
In this example, a higher Tc indicates a cold weather, and a lower Tc indicates a hot weather.
[0241]
Also, a wider Wc indicates a higher temperature change tolerance, and a narrower Wc indicates a lower temperature change tolerance.
[0242]
Therefore, similarly to the height and weight of an individual, by setting Tc or Wc as an individual difference, a change in a parameter determined according to a fuzzy function in the physiological condition generation unit 2, for example, according to the individual difference. Can be given.
[0243]
(Ninth embodiment)
In the human body image generation device according to the ninth embodiment, a case will be described in which variables of “interest” representing a psychological state and “comfort” representing a physiological state are considered.
[0244]
In the mutual relation between the psychological state generator 1 and the physiological state generator 2, the difference between the function setting methods is verified.
[0245]
Here, "interest" is represented by x, "comfort" is represented by y, and the displacement of the facial muscle moved by "laughing" is represented by z.
[0246]
For example, in superposition with a linear function,
z = ax + by + c (a, b, and c are constants)
And the movements of the muscles are directly added.
[0247]
On the other hand, in the superposition by the nonlinear function,
z = ax²+ By + c
, And a state of "laughing rapidly when the value exceeds an interesting value" is obtained.
[0248]
Also, when “interest” x and “comfort” y are input by fuzzy and “laughter” z is output, the threshold value of each parameter is determined only by determining the threshold of each parameter without defining a function. The degree can be set.
[0249]
Also, by the differential equation,
dx / dt = -ay + b
dy / dt = cx + d (a, b, c, d: constants)
By defining as follows, it is possible to represent the movement of the muscle that is vibrating temporally and periodically.
[0250]
Therefore, according to the human body image generation device according to the first basic embodiment having the above-described configuration, the human body image is changed in accordance with the parameters of the environment state generated by the environment state generation unit 4, so that, for example, when the temperature is low, An image close to a real person can be obtained by turning the complexion blue or waving the hair when the wind is strong.
[0251]
Furthermore, since the human body image is changed according to the parameter of the psychological state generated by the psychological state generation unit 1, for example, the face is flushed when the degree of excitement is high, and the face is , Or by reducing the movement of the line of sight when the degree of concentration is high, an image close to a real person can be obtained.
[0252]
Furthermore, since the human body image is changed in accordance with the physiological state generated by the physiological state generation unit 2, for example, when the body temperature is low, the complexion turns blue, when the skin is dry, the gloss is lost, and when the skin is dazzling, By closing the pupil, an image close to a real person can be obtained.
[0253]
Further, according to the human body image generation device according to the first basic embodiment having the above configuration, the CG motion data generation unit 7 and the CG shape data generation unit 9 represent the motion and shape of the body in a modular form. When generating a human body image of a motion such as walking fast, by selecting a shape module such as “foot” in a motion module “walking” and specifying a motion such as “fast”, the expression of a small number of motions enables An image close to a human can be obtained.
[0254]
In addition, according to the human body image generation device according to the first basic embodiment having the above-described configuration, since the psychological state is changed according to the parameter of the individual difference generated by the individual difference generation unit 3, for example, the person is easily nervous. An image close to that of a real person can be obtained by making the face stiff immediately in the case of a human, or exaggerating the reaction in the case of a race showing a sensitive reaction to surprise.
[0255]
Furthermore, since the physiological state is changed according to the parameter of the individual difference generated by the individual difference generation unit 3, for example, the degree of shining of the skin is changed according to age, or the degree of shining of the skin is changed according to gender. Thus, an image close to a real person can be obtained.
[0256]
Further, according to the human body image generating apparatus according to the first basic embodiment having the above-described configuration, the mutual relation between the state parameters can be set by the fuzzy function. It is easy to set a function that expresses a body motion when expressing a complexion in a psychological state such as "less". In addition, for example, a body movement can be expressed by a non-linear combination of mutually strengthening and weakening effects such as a sudden reddish face in an environment and psychological state of "a little warm and high concentration". . Furthermore, a body motion in a case where a different motion is included can be easily expressed according to a combination of input values of each state.
[0257]
In addition, according to the human body image generation apparatus according to the first basic embodiment having the above-described configuration, the shape of the fuzzy membership function for setting the mutual relationship between the state parameters can be changed. Can quickly express the difference in body movements due to individual differences such as "Immediately turns blue."
[0258]
Further, according to the human body image generating apparatus according to the first basic embodiment having the above-described configuration, since the mutual relation of each state parameter can be set by the differential equation, for example, the body such as “laughing gradually decreases” It is possible to express the temporal transition of the operation, and control the speed of the operation. Further, for example, it is possible to express the body motion by the nonlinearity of the influence such as “after the laughter has subsided, it is easy to start laughing again for a while”.
[0259]
In addition, according to the human body image generation device according to the first basic embodiment having the above-described configuration, the amount of motion can be generated by a plurality of state parameters that affect the generation of motion. Therefore, the amount of motion due to a plurality of factors such as "the degree of hunger is small" is obtained, and it is possible to express the body motion in this state.
[0260]
In addition, according to the human body image generation device according to the first basic embodiment having the above-described configuration, the relationship between a plurality of state parameters that affect motion generation and the amount of body motion can be set as a fuzzy function. It is possible to calculate the amount of movement as a result of the interaction of multiple less relevant factors such as `` high temperature, high body temperature, strong wind '', and it is possible to express natural body movement in this state .
[0261]
In addition, according to the human body image generation device according to the first basic embodiment having the above-described configuration, the relationship between a plurality of state parameters that affect motion generation and the amount of body motion can be set as a differential equation. Laughs in an unexpected place ", it can generate an amount of movement in a situation where laughter occurs intermittently when a state that causes conflicting movement factors occurs, and natural body movement in this state Expression becomes possible.
[0262]
In the human body image generating apparatus according to the first basic embodiment of the present invention described above, the function for determining the parameters of the psychological state according to the environmental state and the individual difference in the psychological state generating unit 1 and the physiological state A function for obtaining a parameter of the physiological state according to the environmental state and the individual difference in the generation unit 2, and a change data of the basic shape module 8 in accordance with the parameter of the psychological and physiological state in the CG shape data generation unit 9. And a function for obtaining change data of the basic operation module 6 according to the parameters of the psychological and physiological states in the CG operation data generation unit 7 are set in advance, respectively. As in the human body image generating apparatus according to the second basic embodiment of the present invention, physiological data is input by inputting sample data of a physiological state with respect to an environmental state. Generating a sexual function, inputting sample data of a psychological state with respect to a physiological state to generate a function of a psychological characteristic, and inputting sample data of a physiological and a psychological state, and forming a function of a shape change characteristic Is generated, a function of the motion change characteristic is generated by inputting the sample data of the physiological and psychological states, and each corresponding parameter is obtained according to each characteristic function generated based on the sample data. A more realistic human body image can be generated.
[0263]
[Second basic embodiment]
FIG. 29 is a block diagram showing the overall configuration of a human body image synthesizing apparatus according to the second basic embodiment of the present invention.
[0264]
First, in the human body image generating apparatus according to the second basic embodiment, similarly to the human body image generating apparatus according to the above-described first basic embodiment, the state of the human body is changed to the psychological state and the physiological state. Think in different states. The “physiological state” here is a quantity that objectively represents the state of each part of the body, such as body temperature and blood pressure.
[0265]
The “psychological state” is a quantity indicating a subjective state of a person with respect to each part of the body, and includes, for example, a degree of concentration, a degree of excitement, a degree of tension, a degree of anxiety, and the like.
[0266]
It is the physiological condition category input unit 12 and the psychological condition category input unit 14 that input and designate the respective categories of the physiological condition and the psychological condition as categories.
[0267]
Here, the category indicates the type of each state. For example, the category of the physiological state is the above-mentioned body temperature, blood pressure, or the like.
[0268]
When a classification (category) such as a body temperature is given in the physiological state category input unit 12, a plurality of combinations of body temperature values, which are specified categories of a physiological state with respect to an environmental state (such as an air temperature), are sampled. Is input discretely from the sample input unit 11A to the physiological characteristic generation unit 13.
[0269]
The physiological characteristic generation unit 13 performs modeling of a characteristic function relating to a change in a physiological parameter according to an environmental parameter based on a plurality of sample data input from the sample input unit 11A, using a function expression such as fuzzy or differential equation. And outputs the physiological characteristic data to the physiological state generating unit 18.
[0270]
In the physiological state generating unit 18, according to the physiological characteristic function generated by the physiological characteristic generating unit 13, a parameter of a physiological state corresponding to an arbitrary environmental state parameter given by the environmental state generating unit 20 is set. Be able to output.
[0271]
When a category (category) such as anxiety is given in the psychological state category input unit 14, a plurality of combinations of anxiety and the like, which are designated categories of a psychological state with respect to a physiological state (such as a body temperature value). Is discretely input from the sample input unit 11A to the psychological characteristic generation unit 15 as sample data.
[0272]
The psychological characteristic generation unit 15 performs modeling of a characteristic function relating to a change in a psychological parameter according to a parameter of a physiological state based on a plurality of sample data input from the sample input unit 11A, such as fuzzy or differential equations. And outputs the psychological characteristic data to the psychological state generation unit 19.
[0273]
In the psychological state generation unit 19, according to the psychological characteristic function generated by the psychological characteristic generation unit 15, the psychological state according to the parameter of the physiological state obtained by the physiological state generation unit 18 is calculated. You can output parameters.
[0274]
On the other hand, changes in the shape of the human body are also affected by physiological, psychological, and environmental conditions.
[0275]
The shape characteristic generating unit 17 gives the influence of these physiological states, psychological states, and environmental states as discrete inputs of the respective states by the sample input unit 11A and models the change characteristics relating to the human body shape.
[0276]
The CG shape data generation unit 25 obtains a shape change parameter corresponding to each parameter of the physiological and psychological states according to the function of the shape characteristic generated by the shape characteristic generation unit 17 and combines it with the basic shape data 24. Generates CG shape data.
[0277]
Similarly, regarding the change in the movement of the human body, the influence of each state is given by the sample input unit 11A as a discrete input of each state in consideration of the influence of the physiological state and the psychological state, and the change relating to the movement of the human body is changed. The operation characteristic generation unit 16 performs the modeling of the characteristic.
[0278]
The CG operation data generation unit 23 obtains a parameter of an operation change corresponding to each parameter of the physiological and psychological states according to the function of the operation characteristic generated by the operation characteristic generation unit 16, and obtains a basic function corresponding to the operation script 21. CG operation data is generated by combining the operation module 22 with the operation module 22.
[0279]
Then, by combining the CG shape data generated by the CG shape data generation unit 25 and the CG operation data generated by the CG operation data generation unit 23, the CG data generation unit 26 generates the CG data of the human body. Is generated and output as a generated image 29 from the image synthesizing unit 27 via the output unit 28.
[0280]
In the individual difference generating unit 11B, age, gender, personality, etc., which are individual differences of the human body for which the image is to be generated, are given as parameters of the values and degrees, and the physiological characteristics, psychological characteristics, and shape change. The influence of the individual difference is added to the characteristics of the motion and the characteristics of the motion change.
[0281]
FIG. 30 is a flowchart showing a human body image generation process by the human body image generation device in FIG.
[0282]
In the human body image generation device in FIG. 29, first, physiological states corresponding to various environmental conditions are collected and input by the sample input unit 11A, and the physiological states specified by the physiological state category input unit 12 are classified. Each time it is given to the physiological characteristic generating unit 13 (step A1).
[0283]
For example, the degree of increase in body temperature or blood pressure, which is a physiological state, with respect to the temperature, which is an environmental state, is measured and input.
[0284]
The individual difference generation unit 11B adds the data of the individual difference, for example, data such as whether it is hot or cold, to the physiological characteristic generation unit 13 for each classification of the physiological state input as the category. Next, characteristic data (function) relating to a change in the physiological state with respect to the environmental state is modeled (step A2).
[0285]
Then, the physiological state generating unit 18 converts the parameters of the physiological state for each of the designated classifications corresponding to the parameters of the current environmental state obtained by using the sensors and the like in the environmental state generating unit 20 into the physiological characteristic generating unit. It is determined according to the characteristic data of the physiological state with respect to the environmental state generated in step 13 (step A3).
[0286]
Next, psychological states corresponding to various physiological states are collected and input by the sample input unit 11A, and a psychological characteristic generating unit is provided for each classification of the psychological states designated by the psychological state category input unit 14. 15 (step A4).
[0287]
For example, the degree of excitement, which is a psychological state with respect to the body temperature, which is a physiological state, is recorded and input by a subjective survey.
[0288]
The individual difference generating unit 11B adds data on individual differences, for example, data on whether the person is angry or not, and the psychological characteristic generating unit 15 performs physiological analysis for each classification of the psychological state input as the category. Characteristic data (function) relating to a change in the psychological state with respect to the target state is modeled (step A5).
[0289]
Then, the psychological state generating unit 19 changes the parameter of the psychological state for each of the designated classifications corresponding to the parameter of the physiological state according to the current environmental state obtained by the physiological state generating unit 18 to the psychological state. It is obtained in accordance with the characteristic data of the psychological state with respect to the physiological state generated by the characteristic characteristic generator 15 (step A6). In addition, the sample input unit 11A collects and inputs change data of the human body shape according to various combinations of physiological states and psychological states, and provides the data to the shape characteristic generating unit 17 for each shape classification of each part of the human body ( Step A7).
[0290]
For example, the flushing degree of the face with respect to the physiological state of the body temperature and the mental state of the degree of concentration are recorded and input by a subjective survey.
[0291]
The individual difference generation unit 11B adds the data of the individual difference, for example, data indicating whether it is easy to rise or not, and the shape characteristic generation unit 17 outputs the physiological and psychological information for each classification of the human body shape input as the category. Characteristic data (function) relating to a change in the human body shape with respect to the combination of the target states is modeled (step A8).
[0292]
Then, the CG shape data generation unit 25 calculates the shape change of each part of the human body corresponding to the current physiological state parameter and the psychological state parameter obtained by the physiological state generation unit 18 and the psychological state generation unit 19. The parameters shown are obtained in accordance with the characteristic data of the shape change generated by the shape characteristic generating section 17, and CG shape data in which the basic shape data 24 is changed according to the parameter of the shape change is generated (step A9). ).
[0293]
In addition, the sample input unit 11A collects and inputs change data of human body movements according to various combinations of physiological states and psychological states, and provides the data to the movement characteristic generation unit 16 for each movement classification of each part of the human body ( Step A10).
[0294]
For example, the blinking frequency of the eyes with respect to the physiological state of body temperature and the mental state of concentration is recorded and input.
[0295]
The individual difference generation unit 11B adds data of the individual difference, for example, data on whether the person is surprised or not, and the motion characteristic generation unit 16 outputs physiological and psychological information for each classification of the human body motion input as a category. Characteristic data (function) relating to a change in human body motion with respect to a combination of objective states is modeled (step A11).
[0296]
Then, the CG motion data generation unit 23 calculates a change in the motion of each part of the human body corresponding to the parameter of the current physiological state and the parameter of the psychological state obtained by the physiological state generation unit 18 and the psychological state generation unit 19. The parameters shown are obtained in accordance with the characteristic data of the operation change generated by the operation characteristic generation unit 16, and the CG operation data creation module 22 selected and extracted by the operation script 21 is changed according to the parameter of the operation change. CG operation data is generated (step A12).
[0297]
Thus, the CG data generation unit 26 combines the CG shape data (parameter) generated by the CG shape data generation unit 25 with the CG operation data (parameter) generated by the CG operation data generation unit 23. Then, CG drawing data is generated, the image is synthesized by the image synthesizing unit 27, and output as the generated image 29 via the output unit 28 (steps A13, A14, A15).
[0298]
That is, for example, when the human body image generating apparatus is provided with a script 21 of the human body motion “run”, the CG motion data creation module 22 related to the motion “run” is selected.
[0299]
At the same time, the classification of the physiological state and the psychological state in which the effect is caused by “running” is input and designated by the physiological state category input unit 12 and the psychological state category input unit 14.
[0300]
For example, in a physiological state in which the effect appears by "running", "body temperature" and "pulse rate" are used, and in a psychological state, "excitation degree" and "fatigue degree" are used.
[0301]
Next, the parameters representing the environment are read from the environment state generation unit 20 into the physiological state generation unit 18, and the parameters of the physiological state for each of the designated classifications are stored in the physiological characteristic generation unit 13. It is obtained according to the characteristic data (function) of the state.
[0302]
For example, it corresponds to each environmental condition such as how much the physiological temperature is the body temperature when the current environmental condition is 32 degrees Celsius, or what the pulse rate is when the duration is one hour. A parameter of a physiological state is obtained according to the model of the physiological characteristic, and a degree of excitement or exhilaration as a parameter of a psychological state corresponding to the parameter of the physiological state is determined by the psychological characteristic. Is determined according to the model of
[0303]
Next, the basic shape data 24 of each part of the human body is read into the CG shape data generation unit 25, and the physiological shape generated by the physiological state generation unit 18 and the psychological state generation unit 19 is applied to the basic shape data 24. In addition, parameters relating to the shape change according to each state quantity (parameter) of the psychological state are set in accordance with the shape change characteristic data generated by the shape characteristic generation unit 17.
[0304]
The parameters related to the shape change include, for example, the redness (flush degree) of the face due to an increase in body temperature, which is a physiological state, and an increase in the degree of excitement, which is a psychological state, for a shape module expressing a complexion, which is the basic shape data 24. It is a parameter that changes strongly.
[0305]
Further, for the operation module 22 selected and extracted corresponding to the operation script 21 given to the CG operation data generation unit 23, the physiological and physiological states generated by the physiological state generation unit 18 and the psychological state generation unit 19 are generated. A parameter relating to a motion change according to each state quantity (parameter) of the psychological state is set in accordance with the motion change characteristic data generated by the motion characteristic generation unit 16.
[0306]
The parameter relating to the change in the motion is, for example, a parameter that, for the running motion module, which is the basic motion module 22, slowly changes the running motion due to an increase in the body temperature as a physiological condition and an increase in the degree of fatigue as a psychological condition. .
[0307]
Then, the basic shape data 24 and the basic operation module 22 are changed by the shape change data and the operation change data set according to the environmental state, the physiological state, and the psychological state, thereby forming a CG. CG shape data and CG operation data required for the above are generated.
[0308]
Finally, in the CG data generation section 26 and the image synthesis section 27, the CG shape and the CG motion data are combined to synthesize and output a human body image.
[0309]
The overall configuration and operation example of the human body image generation device according to the second basic embodiment of the present invention have been described above. However, in the following (tenth embodiment) to (twelfth embodiment), FIG. Each device is configured using all or a part of the entire configuration of the human body image generation device in 29.
[0310]
(Tenth embodiment)
FIG. 31 is a block diagram illustrating a configuration of a human body image generation device according to a tenth embodiment of the present invention when generating a human body image corresponding to a temperature as an environmental state.
[0311]
The human body image generation device according to the tenth embodiment can represent a change in the human body such as flushing of the face according to the surrounding temperature.
[0312]
First, the environment state generation unit 20 generates the temperature of the outside world as a parameter indicating the environment state.
[0313]
Next, as a classification of a physiological condition related to a human body for which an image is to be generated, “body temperature” is input and designated by the physiological condition category input unit 12, and is specified by the sample input unit 11 A in the designated category. Sample data of a certain body temperature b and an external temperature t is collected and given to the physiological characteristic generation unit 13.
[0314]
Accordingly, the physiological characteristic generation unit 13 models characteristic data indicating a change in the body temperature b with respect to the external temperature t, and outputs the characteristic parameters to the physiological state generation unit 18.
[0315]
In the physiological state generating unit 18, based on the characteristic data of the body temperature characteristic with respect to the temperature environment provided from the physiological characteristic generating unit 13, a physiological state corresponding to the current environmental state provided from the environmental state generating unit 20, In other words, a parameter of the physiological state of the body temperature b with respect to the current temperature t of the outside world is obtained and output.
[0316]
Similarly, as the classification of the psychological state related to the human body for which the image is to be generated, “concentration” is input and specified by the psychological state category input unit 14, and the sample input unit 11 </ b> A specifies The corresponding sample data of the body temperature b and the degree of concentration c are collected and given to the psychological characteristic generation unit 15.
[0317]
Thus, the psychological characteristic generation unit 15 models characteristic data indicating a change in the degree of concentration c with respect to the body temperature b, and outputs the characteristic parameter to the psychological state generation unit 19.
[0318]
In the psychological state generating unit 19, based on the characteristic data of the degree of concentration c with respect to the body temperature b given from the psychological characteristic generating unit 15, the current physiological state obtained by the physiological state generating unit 18 is changed. The corresponding psychological state, that is, the parameter of the psychological state of the degree of concentration c with respect to the body temperature b is determined and output.
[0319]
Next, when the sample data of the physiological state (body temperature b) and the sample data of the mental state (degree of concentration c) obtained by the sample input unit 11A are provided to the shape characteristic generating unit 17, the physiological state and the mental state are obtained. Characteristic data on a change characteristic of the human body shape according to the target state, for example, characteristic data on the flushing degree r of the face is modeled.
[0320]
As described above, by giving the characteristic parameter of the shape change obtained by the shape characteristic generating unit 17 to the CG shape data generating unit 25, the physiological state obtained by the physiological state generating unit 18 and the psychological state generating unit 19 is obtained. The change of the human body shape with respect to the target state and the psychological state is obtained, and this is combined with the basic shape data 24 to generate and output the shape data of the human body CG.
[0321]
Similarly, when the sample data of the physiological state (body temperature b) and the sample data of the psychological state (concentration c) obtained by the sample input unit 11A are given to the operation characteristic generation unit 16, for example, “blink With respect to the action script 21 of “do”, the change characteristics of the human body motion according to the physiological state or the psychological state, for example, the characteristic data regarding the blinking frequency e are modeled.
[0322]
As described above, by giving the characteristic parameter of the movement change obtained by the movement characteristic generation section 16 to the CG movement data generation section 23, the physiological state obtained by the physiological state generation section 18 and the psychological state generation section 19 is obtained. The change of the human body motion with respect to the target state and the psychological state is obtained, and this is combined with the blink module as the basic operation module 22 to generate and output the motion data of the human body CG.
[0323]
Then, the CG shape data obtained by the CG shape data generation unit 25 and the CG operation data obtained by the CG operation data generation unit 23 are combined in the CG data generation unit 26, and actual CG data, for example, face or eye It is created as drawing data, and is output to the display screen as specific human body image drawing data such as vertex coordinates and color data of polygons in the image synthesizing unit 27.
[0324]
Next, a detailed configuration operation of the human body image generation device according to the tenth embodiment will be described.
[0325]
Here, characteristics representing physiological characteristics and psychological characteristics are given as functions.
[0326]
Here, t is the temperature (environmental state), c is the degree of concentration (represented by “0” to “1”, the degree of concentration is maximum at “1”), b is the body temperature (physiological state), and r is the flushing degree of the skin. (Shape change degree), e represents the frequency of blinking (motion change degree). Then, for example, the function for generating c (concentration) under the influence of t (air temperature) and b (body temperature) in the psychological state generation unit 15 is expressed as c = fc (t, b) or the like.
[0327]
FIG. 32 is a graph showing a characteristic function for determining the body temperature b of the physiological characteristic according to the temperature t generated by the physiological characteristic generation unit 13 of the human body image generation device in FIG.
[0328]
In the step of modeling the characteristic function of the body temperature b with respect to the temperature t in the physiological characteristic generation unit 13, the body temperature b with respect to the temperature t is measured at several points and input by the sample input unit 11A. The characteristic function fb (t) is determined by a method such as approximation.
[0329]
The parameters representing the physiological characteristics, such as the coefficient of the characteristic function fb (t), thus obtained are sent to the physiological condition generator 18 to obtain the body temperature b at an arbitrary temperature t given by the environmental condition generator 20. To be able to
[0330]
FIG. 33 is a graph showing a characteristic function for determining the degree of concentration c of the psychological characteristic according to the body temperature b generated by the psychological characteristic generation unit 15 of the human body image generation device in FIG.
[0331]
In the step of modeling the characteristic function of the degree of concentration c with respect to the body temperature b in the psychological characteristic generation unit 15, the degree of concentration c with respect to the body temperature b is checked at several points in accordance with human subjectivity, and the like, and the sample input unit is used. 11A, and the characteristic function fc (b) is determined based on the input by a method such as approximation.
[0332]
The thus obtained parameters representing the psychological characteristics such as the coefficient of the characteristic function fc (b) are sent to the psychological state generation unit 19, and the degree of concentration at an arbitrary body temperature b obtained by the physiological state generation unit 18 so that c can be obtained.
[0333]
FIG. 34 determines the flushing degree r of the face as a shape change characteristic according to the body temperature b which is a physiological state while fixing the concentration degree c generated by the shape characteristic generation unit 17 of the human body image generation device in FIG. 6 is a graph showing a characteristic function for the present invention.
[0334]
FIG. 35 determines the flushing degree r of the face as a shape change characteristic according to the concentration level c which is a mental state, with the body temperature b generated by the shape characteristic generation unit 17 of the human body image generation device in FIG. 31 fixed. 6 is a graph showing a characteristic function for the present invention.
[0335]
In the step of modeling the characteristic function of the flushing degree r of the face with respect to each of the body temperature b and the concentration degree c in the shape characteristic generation unit 17, the number of the flushing degree r of the face with respect to each of the body temperature b and the concentration degree c is calculated. The characteristic function fr (b), fr (c) is determined by an approximation method or the like based on the input from the sample input unit 11A, for example.
[0336]
The parameters representing the shape change characteristics, such as the coefficients of the characteristic functions fr (b) and fr (c) thus obtained, are sent to the CG shape data generation unit 25, and the physiological state generation unit 18 and the psychological state generation unit 19 The degree of flushing r (change in shape) of the face at the determined arbitrary body temperature b and the degree of concentration c is determined.
[0337]
FIG. 36 is a diagram for fixing the body temperature b generated by the operation characteristic generation unit 16 of the human body image generation device in FIG. 31 and determining a blink frequency e as an operation change characteristic according to the concentration c which is a mental state. 4 is a graph showing a characteristic function.
[0338]
FIG. 37 is a diagram for determining a blink frequency e as an operation change characteristic according to a body temperature b which is a physiological state while fixing the concentration degree c generated by the operation characteristic generation unit 16 of the human body image generation apparatus in FIG. 4 is a graph showing a characteristic function.
[0339]
At the stage where the characteristic function of the blink frequency e for each of the concentration c and the body temperature b is modeled by the motion characteristic generation unit 16, the blink frequency e for each of the concentration c and the body temperature b is calculated at several points. The input is performed by the sample input unit 11A after checking and the like, and based on the input, the respective characteristic functions fe (c) and fe (b) are determined by a method such as approximation.
[0340]
The parameters representing the motion change characteristics, such as the coefficients of the characteristic functions fe (c) and fe (b) thus obtained, are sent to the CG motion data generation unit 23, and the physiological state generation unit 18 and the psychological state generation unit 19 transmit the parameters. A blink frequency e (change in motion) at the determined arbitrary degree of concentration c and body temperature b is determined.
[0341]
That is, in the CG shape data generation unit 25, basic shape data representing a face color is selected and extracted from the basic shape data 24, and the basic shape data representing the face color is modeled by the shape characteristic generation unit 17. The flushing degree r of the face is obtained according to the characteristic function fr (c, b) [see FIGS. 34 and 35] corresponding to the concentration degree c of the psychological state and the body temperature b of the physiological state.
[0342]
In addition, when the operation script 21 “blink” is read in the CG operation data generation unit 23, a blink operation module is selected and extracted from the CG operation data creation module 22. Then, a parameter e representing the speed of blinking added to the motion module is a characteristic function fe corresponding to the degree of concentration c of the psychological state and the body temperature b of the physiological state modeled by the operation characteristic generation unit 16. (C, b) are obtained according to [see FIGS. 36 and 37].
[0343]
Then, the parameter of the flushing degree r of the face generated by the CG shape data generation unit 25 and the parameter of the blinking speed e generated by the CG operation data generation unit 23 are input to the CG data generation unit 26, and the CG drawing is performed. Data is generated, and the human body image is synthesized by the image synthesis unit 27 in accordance with the generated data.
[0344]
Specifically, for example, in the case of the face flushing degree r, the CG shape data generation unit 25 determines the face according to the characteristic function fr (c, b) generated by the shape characteristic generation unit 17. The degree of enhancement of the actual red value R in the image synthesizing unit 27 is determined according to the flushing degree r. This is performed according to a function that determines the shift amount Rshift of the red value R according to the flushing degree r of the face. This is performed by increasing the R value according to the flushing degree r. In this case, the shift amount of the R value in the increasing direction is Rshift,
Rshift = g (r)
Determines the strength of the R value.
[0345]
(Eleventh embodiment)
FIG. 38 is a block diagram illustrating a specific example of a system configuration of a human body image generation device according to an eleventh embodiment of the present invention when generating a human body image according to age as an individual difference.
[0346]
The means for generating the shape characteristic data and the operation characteristic data not shown in FIG. 38 conforms to the human body image generation device of the second basic embodiment shown in FIG.
[0347]
In the human body image generation device according to the eleventh embodiment, a surprising state according to age can be represented.
[0348]
First, when the blood pressure p is considered as a physiological state, it is not only related to the temperature t of the environmental parameter but also varies depending on individual differences such as the age y. The characteristic of p is generated by the physiological characteristic generator 13 as a function relating to the temperature t and the age y.
[0349]
Considering the degree of anxiety a as a psychological state, this is not only related to the blood pressure p in the physiological state, but also varies depending on the individual as the difference g in the degree of reaction g to surprise. The characteristic of the degree of anxiety a, which is a psychological state with respect to p, is generated by the psychological characteristic generator 15 as a function relating to the blood pressure p and the degree g of the individual's surprise reaction.
[0350]
Thereby, the blood pressure p, which is a physiological state taking into account the age y of the human body to be image-generated, and the degree of anxiety p, which is a psychological state taking into account the ease of surprise g, are obtained. Data is generated, and a realistic human body image according to individual differences can be generated.
[0351]
(Twelfth embodiment)
In the human body image generating apparatus according to the twelfth embodiment, in each of the characteristic generating blocks of the human body image generating apparatus according to the second basic embodiment of the present invention, a characteristic is obtained from a parameter given as an input and a parameter to be obtained as an output. The means for generating a function will be described.
[0352]
That is, when a function is used for modeling the characteristics when the input xi and the output y are given, the characteristic function f is obtained from the given input / output data using an approximation method such as regression analysis [FIG. reference].
[0353]
y = f (x1, x2,..., xn)
(Thirteenth embodiment)
In the human body image generation device according to the thirteenth embodiment, in each of the characteristic generation blocks of the human body image generation device according to the second basic embodiment of the present invention, characteristics are obtained from parameters given as inputs and parameters to be obtained as outputs. Means for generating a differential equation will be described.
[0354]
According to this measure, it is possible to take into account the temporal effects.
[0355]
Here, a human body image generating apparatus for generating a human body image according to the temperature as the environmental state in FIG. 31 is taken as an example.
[0356]
FIG. 39 is a diagram showing an input / output relationship in each characteristic generation block of the human body image generation device in FIG. 31. FIG. 39 (A) shows a physiological characteristic of body temperature b depending on temperature T in physiological characteristic generation unit 13. FIG. 7B is a diagram showing a relationship in the case of calculating the psychological characteristic of the degree of concentration c by the body temperature b in the psychological characteristic generation unit 15, and FIG. FIG. 9D is a diagram showing the relationship when the shape change characteristic of the flushing degree r of the face is determined by the body temperature b and the concentration level c in the unit 17; FIG. FIG. 6 is a diagram showing a relationship when the operation change characteristics of the above are obtained.
[0357]
For example, in the case where the psychological characteristics in FIG. 39B are obtained, in the thirteenth embodiment, the degree of concentration c is represented by a differential equation having its current value as a variable and input as a parameter.
[0358]
dc / dt = f (param, c) [param: input] [f: function]
ex. dc / dt = f (b, c)
To summarize the derivation of this equation, first, at various inputs, the change in (dc / dt) due to the concentration c is examined, and f is described as a function of the concentration c. Then, when the degree of concentration c is fixed next, the change in f due to the input is examined, and the shape of f is finally determined.
[0359]
Hereinafter, the derivation of the differential equation in the psychological characteristic generation unit 15 using the concentration level c as the current value and the body temperature b as the input value will be specifically described.
[0360]
(1) For various inputs, the characteristics of dc / dt (time change of c) with respect to c are examined.
[0361]
This corresponds to examining the function form of f with respect to c as dc / dt = f (c) at dc / dt = f (param, c). In many cases, this can be determined by examining the characteristics of tc.
[0362]
For example,
c = e^-T    → dc / dt = −c Equation 4
c = 1 / t → dc / dt = −c²      ... Equation 5
In order to check the t-c characteristic, in this case, it is only necessary to fix the input, for example, by keeping the temperature t constant, and to look at the temporal transition of the concentration degree c.
[0363]
(2) Check the relationship between the input and c when c can be regarded as constant.
[0364]
This is to obtain a relational expression between the input and f at f by using a relational expression of f (param, c) = 0 obtained as dc / dt = 0 in dc / dt = f (param, c). It is.
[0365]
As the portion where dc / dt = 0, for example, when a long time elapses, the concentration level c is almost “0” and the time is settled down.
[0366]
Modeling can be performed by establishing these differential equations in each characteristic generation block.
[0367]
As a numerical example, the following can be considered as the concentration degree c, the temperature T, and the body temperature b.
[0368]
dc / dt = -k1 (b-36)²c (k1> 0) Equation 6
According to this function, the concentration c has an exponential decay component, and the influence of the deviation of the body temperature b from normal heat attenuates the concentration c exponentially.
[0369]
(14th embodiment)
In the human body image generation device according to the fourteenth embodiment, a case will be described in which input / output relation data generated in each characteristic generation block, that is, characteristic data is set using a fuzzy function.
[0370]
Here, a human body image generating apparatus for generating a human body image according to the temperature as the environmental state in FIG. 31 is taken as an example.
[0371]
Then, a modeling using the input / output characteristics in the shape characteristic generation unit 17 in FIG. 39 (C) as an example will be considered.
[0372]
The inputs to the shape characteristic generating unit 17 in FIG. 31 include the body temperature b and the concentration c, and in this case, a fuzzy set is set for each.
[0373]
FIG. 40 is a diagram showing a fuzzy function expression related to a body temperature b introduced in the human body image generation device according to the second basic embodiment of the present invention.
[0374]
The state where the body temperature b is “low” is represented by L, the “high” state is represented by H, and the state of “neither intermediate” is represented by M.
[0375]
That is, according to the fuzzy function expression of FIG. 40, the probability that the body temperature b is low is “1” below 36 degrees, the probability that the body temperature b is low decreases to 37 degrees or more, and the probability becomes “0” at 37 degrees. Become. The same applies to the state H in which the body temperature b is “high” and the state M in the “intermediate” state.
[0376]
FIG. 41 is a diagram showing a fuzzy function expression related to the degree of concentration c introduced for the human body image generation device according to the second basic embodiment of the present invention.
[0377]
The state where the degree of concentration c is “low” is L, the state “high” is H, and the state “intermediate” is M.
[0378]
That is, according to the fuzzy function expression of FIG. 41, the probability L that the concentration c is low when the concentration c is 0.4 or less is “1”, and the probability L that the concentration c is low until the concentration c is 0.6 or more. Decreases and becomes 0.6 at 0.6. The same applies to the state H where the concentration c is “high” and the state M where the concentration c is “middle”.
[0379]
FIG. 42 is a diagram showing a fuzzy function expression related to the flushing degree r of the face introduced for the human body image generating apparatus according to the second basic embodiment of the present invention.
[0380]
Here, the state where the flushing degree r is “low” is L, the state “high” is H, and the state “middle” is M.
[0381]
That is, according to the fuzzy function expression of FIG. 42, the probability L that the flushing degree r is low is "1" when the flushing degree r is 0.2 or less, and the probability L that the flushing degree r is low until the flushing degree r is 0.5 or more. Decreases and becomes a probability “0” at 0.5. The same applies to the state H in which the flushing degree r is “high” and the state M in which the flushing degree r is “intermediate”.
[0382]
Next, using the fuzzy sets of the body temperature b, the concentration degree c, and the flushing degree r shown in FIGS. 40, 41, and 42, the shape characteristic generation unit 17 generates characteristic data of the shape change, A means for fuzzy obtaining an output for an arbitrary input will be described below.
[0383]
FIG. 43 is a diagram for explaining the rules of fuzzy inference introduced for the human body image generating apparatus according to the second basic embodiment of the present invention. FIG. 43A shows the probability of body temperature b and the probability of concentration c. FIG. 8B is a diagram showing table data for determining the probability of the flushing degree r of the face based on the combination of the blushes. FIG. 4B shows the flushing obtained from the combination of each fuzzy set according to the specific body temperature b and the concentration c. It is a figure which shows the process (rule) which calculates the value with high validity as a value which the degree r takes as a probability.
[0384]
First, in each fuzzy set of inputs, for each combination of inputs of “high” H, “intermediate” M, and “low” L, the flushing degree r corresponding to the combination is set empirically or as a table [see FIG. 43 (A)]. Give theoretically.
[0385]
Here, a case where the flushing degree r is determined according to the following rules a to d will be described as an example.
[0386]
a) When the body temperature b is low (L) and the concentration c is low (L), the flushing degree r of the face is lowered (L).
[0387]
b) When both the body temperature b and the concentration degree c are high (H), the flushing degree r is increased (H).
[0388]
c) When the concentration degree c is “medium” (M) and the body temperature b is high (H), the flushing degree r is increased (H).
[0389]
d) For other inputs, the flushing degree r is “middle” (M).
[0390]
Based on this table [FIG. 43 (A)] and the rule [FIG. 43 (B)], the probability of the flushing degree r for an arbitrary input is obtained.
[0391]
For example, a case where (b, c) = (37.5, 0.65) will be described.
[0392]
First, for each fuzzy set of inputs, combinations of inputs whose probabilities (probabilities) are not “0” are enumerated, and the state of the flushing degree r for the combination of inputs is represented by a table [see FIG. 43 (A)]. Ask.
[0393]
(1) b = M and c = M → r = M
(2) b = M and c = H → r = M
(3) b = H and c = M → r = H
(4) b = H and c = H → r = H
A combination of these causal relationships is called a rule.
[0394]
Next, the probability of the validity of the output is obtained from the conformity of these rules.
[0395]
Here, the minimum value of the fitness (probability) of the fuzzy set of each input is adopted as the fitness of the rule.
[0396]
Then
(1) b = M (0.5) and c = M (0.75) → r = M (0.5)
(2) b = M (0.5) and c = H (0.25) → r = M (0.25)
(3) b = H (0.5) and c = M (0.75) → r = H (0.5)
(4) b = H (0.5) and c = H (0.25) → r = H (0.25)
From the fuzzy set of the flushing degree r in each rule and the flushing degree r in FIG. 42, the flushing degree r when (b, c) = (37.5, 0.65) is input is inferred.
[0397]
FIG. 44 is a diagram for explaining the rules of inference in the fuzzy function expression of the flushing degree r introduced with respect to the human body image generation device according to the second basic embodiment of the present invention.
[0398]
Here, in the fuzzy function expression of the flushing degree r shown in FIG. 44, the flushing degree r of each state (L, M, H) is truncated by the probability of the validity of the output obtained from the combination rule of the input. Is the inference value.
[0399]
In this numerical example, the required flushing degree r is “approximately 0.62”.
[0400]
In this way, by generating a fuzzy inference model in each characteristic generation unit, an appropriate output for an arbitrary input can be obtained by fuzzy inference in each corresponding state generation unit.
[0401]
(Fifteenth embodiment)
In the human body image generation device according to the fifteenth embodiment, input / output characteristic data generated in each characteristic generation block is set using a fuzzy function, and the influence of individual differences is given as a change in the shape of the membership function. Will be described.
[0402]
FIG. 45 is a diagram for explaining a change in the shape of the membership function introduced for the human body image generation device according to the second basic embodiment of the present invention.
[0403]
Here, a fuzzy set for the body temperature b as shown in FIG. 40 is taken as an example, and a function as shown in FIG. 45 is given as its membership function.
[0404]
The highest value of this membership function is defined as the median difference Tc, and the range of the body temperature b where the value of the function is halved is defined as Wc.
[0405]
The shape of the membership function is defined by Tc and Wc, and these are changed by individual differences.
[0406]
Specifically, for example, a higher Tc indicates a colder, and a lower Tc indicates a hotter.
[0407]
Also, a wider Wc is more resistant to a temperature change, and a smaller Wc is weaker to a temperature change.
[0408]
Therefore, similarly to the height and weight of an individual, by setting Tc or Wc as the individual difference, for example, the physiological characteristics generated by the physiological characteristic generation unit 13 can be changed according to the individual difference. .
[0409]
Therefore, according to the human body image generating apparatus according to the second basic embodiment having the above-described configuration, the sample value of the environmental state and the sample value of the physiological state belonging to the category of the physiological state appearing in the human body for which the image is to be generated are obtained. Input, and means for generating physiological characteristics of the human body with respect to environmental parameters, so that, for example, the phenomenon of sweating can be selected as a physiological state appearing in a running person, and the characteristics of the amount of sweating according to the temperature of the outside world can be selected. Can be described based on reality. In addition to that, according to any value of the environmental parameter, since there is a means for obtaining a parameter of the physiological state according to the physiological characteristics, for example, depending on various environments, such as how much sweating when running at full speed A physiological state can be obtained, and an image close to a real person adapted to environmental changes can be obtained.
[0410]
Further, a means for inputting a sample value of a physiological state and a sample value of a psychological state belonging to a category of a psychological state appearing in a human body for which an image is to be generated, and generating a psychological characteristic for the physiological state parameter is provided. For example, the degree of excitement can be selected as a psychological state that appears to a person who takes a test, and characteristics of the degree of excitement according to blood pressure can be described based on reality. In addition, according to an arbitrary value of the physiological state parameter, since there is a means for obtaining the parameter of the psychological state according to the psychological characteristics, various physiological conditions such as how much the blood pressure lowers the excitement can be reduced. A psychological state according to the state can be obtained, and an image close to a real person adapted to a change in the physiological state can be obtained.
[0411]
In addition, since a means for inputting a sample value of a physiological state and a sample value of a psychological state and generating characteristics of a shape change of a human body is provided, for example, when the body temperature is high and the degree of excitement is high, Whether to flush or not can be described based on reality. In addition, since there is a means for determining a shape change in accordance with the shape change characteristics according to arbitrary values of the physiological state parameter and the psychological state parameter, for example, if the body temperature is low when the degree of excitement is high, Can be obtained according to various states such as whether the image returns to normal, and an image close to a real person can be obtained.
[0412]
Further, since the apparatus has means for inputting a sample value of a physiological state and a sample value of a psychological state and generating characteristics of a change in movement of the human body, for example, when the body temperature is high and the degree of concentration is low, Can be described based on reality. In addition, since there is a means for obtaining an action change according to the action change characteristic according to arbitrary values of the physiological state parameter and the psychological state parameter, for example, when the concentration is low, if the body temperature becomes low, An operation change according to various states such as whether the speed returns to normal can be obtained, and an image close to a real person can be obtained.
[0413]
In addition, according to the human body image generation device according to the second basic embodiment having the above-described configuration, since the human body image generation device includes a unit capable of acquiring the state value of the real environment in real time, for example, the temperature has dropped sharply in the real world. In this case, it is possible to obtain an image close to a real person, such as the face of a human body image shaking.
[0414]
In addition, according to the human body image generating apparatus according to the second basic embodiment having the above-described configuration, since there is means for changing the physiological characteristics depending on individual differences, for example, the degree of shining of the skin is changed or the sweat is changed according to the age. In the case of shaking, an image close to a real person can be obtained by, for example, causing sweat to be released immediately.
[0415]
Furthermore, since there is a means for changing the psychological characteristics due to individual differences, for example, in the case of a person who is easily nervous, the complexion is immediately turned blue, or an angry person is immediately frowned. Thus, an image close to a real person can be obtained.
[0416]
Furthermore, since it has means for changing the shape change characteristics of the human body due to individual differences, for example, a laughter can be immediately formed when laughing, or a wrinkle between eyebrows immediately when angry, etc. A close image can be obtained.
[0417]
Furthermore, since it has means to change the motion change characteristics of the human body depending on individual differences, it is possible to obtain an image close to a real person by changing the walking speed depending on age, changing the way to open the mouth when sneezing, etc. Can be.
[0418]
Further, according to the human body image generating apparatus according to the second basic embodiment having the above-described configuration, the input-to-output relationship in each characteristic generating means is set by the fuzzy function. Describes the change in complexion by a combination of sample values of physiological states such as, high and normal when neither is normal, and sample values of psychological states such as low, high and normal when anxiety is low By simply doing so, it is possible to quantitatively infer how much the complexion changes for a specific combination of physiological state parameters and psychological state parameters, and to provide a simpler description for various states. It can express changes in the human body.
[0419]
Further, according to the human body image generating apparatus according to the second basic embodiment having the above-described configuration, the influence of individual differences on the characteristics generated by each of the characteristic generating means is changed as a change in the shape of the membership function of the fuzzy set. For example, if the change in complexion, which is a characteristic of the shape change with respect to the parameter of the physiological state of body temperature and the parameter of the psychological state of anxiety, is described in fuzzy, for example, An effect corresponding to individual differences such as cases can be added, and a more realistic human body image can be generated.
[0420]
In addition, according to the human body image generation device according to the second basic embodiment having the above-described configuration, the input-output relationship in each characteristic generation unit is set by the differential equation. It can express non-linear characteristics such as sudden sweating when the temperature rises, and characteristics that change with time such as intermittent trembling when the temperature decreases, generating images of the human body that are more realistic can do.
[0421]
Note that the method described in the above embodiment, that is, the human body image generation processing in the first basic embodiment of the present invention shown in the flowchart of FIG. 2 and the case of generating a human body image of the action of “eating” shown in the flowchart of FIG. Each method of the human body image generation processing of FIG. 30 and the human body image generation processing in the second basic embodiment shown in the flowchart of FIG. 30 includes, as programs that can be executed by a computer, a magnetic disk (floppy disk, hard disk, etc.), an optical disk ( CD-ROM, DVD, etc.), a semiconductor memory, and other storage media for distribution. The computer reads the program recorded on the recording medium, and controls the operation of the program to realize the functions described in the above-described embodiment and execute the processing by the above-described method.
[0422]
【The invention's effect】
As described above, the human body image generation device of the present inventionToAccording to the report, by generating visually recognizable changes in the body in consideration of many systematic states, such as psychological states, physiological states, and environmental states, a natural human body image close to the real thing is generated. Can be generated.
[Brief description of the drawings]
FIG. 1 is a block diagram showing an overall configuration of a human body image generation device according to a first basic embodiment of the present invention.
FIG. 2 is a flowchart showing a human body image generation process by the human body image generation device in FIG. 1;
FIG. 3 is a block diagram showing an overall configuration in a case where the human body image generating apparatus in FIG. 1 generates a human body image having an operation of “eating”.
FIG. 4 is a flowchart showing a human body image generation process performed by the human body image generation device when generating a human body image having an action of “eating” in FIG. 3;
FIG. 5 is a block diagram showing a basic configuration of a human body image generation device according to claims 1 and 2 of the present invention.
FIG. 6 is a block diagram illustrating a configuration of a human body image generation device according to the first embodiment of the present invention when generating a human body image corresponding to a temperature as an environmental state.
FIG. 7 is a block diagram showing a specific system configuration of the human body image generation device when generating a human body image according to a temperature as an environmental state according to the first embodiment of the present invention.
8 is a graph showing a function for fixing a body temperature b and determining a degree of concentration c in accordance with a temperature t in a psychological state generation unit of the human body image generation device in FIG. 7;
9 is a graph showing a function for fixing a temperature t and determining a degree of concentration c according to a body temperature b in a psychological state generation unit of the human body image generation device in FIG. 7;
10 is a graph showing a function for determining a body temperature b in accordance with a temperature t with a fixed degree of concentration c in the physiological state generation unit of the human body image generation device in FIG. 7;
11 is a graph showing a function for determining a body temperature b in accordance with the concentration c with the temperature t fixed in the physiological state generation unit of the human body image generation device in FIG. 7;
12 is a graph showing a function for determining a flushing degree r in accordance with a concentration degree c while fixing a body temperature b in a CG shape data generating unit of the human body image generating apparatus in FIG. 7;
13 is a graph showing a function for determining a flushing degree r in accordance with a body temperature b with a fixed degree of concentration c in a CG shape data generating unit of the human body image generating apparatus in FIG. 7;
FIG. 14 is a graph showing a function for determining a blinking speed e in accordance with the degree of concentration c with the body temperature b fixed in the CG operation data generation unit of the human body image generation device in FIG. 7;
FIG. 15 is a graph showing a function for determining a blinking speed e in accordance with a body temperature b with the degree of concentration c fixed in the CG operation data generation unit of the human body image generation device in FIG. 7;
FIG. 16 is a graph showing a function for determining a shift amount Rshift of the red value R in accordance with the flushing degree r of the face in the CG data generation unit of the human body image generation device in FIG. 7;
FIG. 17 is a block diagram illustrating a specific system configuration of a human body image generation device according to a second embodiment of the present invention when generating a human body image according to an age as an individual difference.
FIG. 18 is a block diagram illustrating a specific system configuration of a human body image generation device according to a third embodiment of the present invention when generating a human body image according to the degree of tension as an individual difference.
FIG. 19 is a block diagram showing a specific system configuration of a human body image generation device according to a fourth embodiment of the present invention, which generates a human body image in response to surprise for sound as an environmental state.
FIG. 20 is a model diagram showing a relationship between an input xi of each parameter generation block and a current value y in the human body image generation device.
21 is a diagram showing a specific relationship between an input xi of each parameter generation block of the human body image generation device in FIG. 6 and a current value y, and FIG. 21A shows a temperature T in a psychological state generation unit. FIG. 7B is a diagram showing a relationship in a case where the current degree of concentration c is obtained by inputting the body temperature b and the body temperature b. FIG. FIG. 9C is a diagram showing a relationship in a case where the CG shape data generation unit obtains the current flushing degree r of the face by inputting the concentration level c and the body temperature b.
FIG. 22 is a diagram showing a relationship when a current concentration degree c is obtained by inputting a temperature T and a body temperature b in a psychological state generation unit of the human body image generation device in FIG. 6;
FIG. 23 is a diagram showing a fuzzy function expression with respect to a temperature T introduced for the human body image generation device according to the first basic embodiment of the present invention.
FIG. 24 is a diagram showing a fuzzy function expression for a body temperature b introduced in the human body image generation device according to the first basic embodiment of the present invention.
FIG. 25 is a diagram showing a fuzzy function expression with respect to the degree of concentration c introduced for the human body image generation device according to the first basic embodiment of the present invention.
FIG. 26 is a diagram for explaining the rule of fuzzy control introduced with respect to the human body image generation device according to the first basic embodiment of the present invention, and FIG. 26A shows the probability of temperature T and the probability of body temperature b. FIG. 9B is a table showing table data for determining the probability of the degree of concentration c based on the combination of the values of the degree of concentration c obtained from the combination of each fuzzy set according to the specific temperature T and body temperature b. The figure which shows the process which calculates a value with high validity as a probability.
FIG. 27 is a diagram for explaining a rule of inference in fuzzy function expression of the degree of concentration c introduced with respect to the human body image generation device according to the first basic embodiment of the present invention.
FIG. 28 is a diagram for explaining a change in the shape of a membership function introduced for the human body image generation device according to the first basic embodiment of the present invention.
FIG. 29 is a block diagram showing an overall configuration of a human body image synthesizing apparatus according to a second basic embodiment of the present invention.
FIG. 30 is a flowchart showing a human body image generation process by the human body image generation device in FIG. 29;
FIG. 31 is a block diagram illustrating a configuration of a human body image generation device according to a tenth embodiment of the present invention when generating a human body image according to a temperature as an environmental state.
32 is a graph showing a characteristic function for determining a body temperature b of a physiological characteristic according to a temperature t generated by a physiological characteristic generation unit of the human body image generation device in FIG. 31.
FIG. 33 is a graph showing a characteristic function for determining a concentration c of psychological characteristics according to a body temperature b generated by a psychological characteristic generation unit of the human body image generation device in FIG. 31;
FIG. 34 fixes the degree of concentration c generated by the shape characteristic generation unit of the human body image generation device in FIG. 31 and determines the flushing degree r of the face as a shape change characteristic according to the physiological temperature b. A graph showing a characteristic function for the purpose.
FIG. 35 determines a flushing degree r of a face as a shape change characteristic according to a concentration level c which is a psychological state, with the body temperature b generated by the shape characteristic generation unit of the human body image generation device in FIG. 31 fixed. A graph showing a characteristic function for the purpose.
36 is a diagram for fixing a body temperature b generated by an operation characteristic generation unit of the human body image generation device in FIG. 31 and determining a blink frequency e as an operation change characteristic according to a concentration level c which is a psychological state. 4 is a graph showing a characteristic function.
FIG. 37 is a diagram for determining a blink frequency e as an operation change characteristic according to a body temperature b which is a physiological state while fixing the concentration degree c generated by the operation characteristic generation unit of the human body image generation device in FIG. 4 is a graph showing a characteristic function.
FIG. 38 is a block diagram showing a specific example of a system configuration of a human body image generation device according to an eleventh embodiment of the present invention when generating a human body image according to age as an individual difference.
FIG. 39 is a diagram showing an input / output relationship in each characteristic generation block of the human body image generation device in FIG. 31. FIG. 39 (A) shows a physiological characteristic of body temperature b depending on temperature T in a physiological characteristic generation unit. (B) is a diagram showing the relationship when the psychological characteristic of the degree of concentration c based on the body temperature b is obtained by the psychological characteristic generation unit, and FIG. (C) is the shape characteristic generation unit. FIG. 6D is a diagram showing the relationship when the shape change characteristic of the flushing degree r of the face is determined according to the body temperature b and the degree of concentration c, and FIG. The figure which shows the relationship at the time of calculating | requiring a characteristic.
FIG. 40 is a diagram showing a fuzzy function expression related to a body temperature b introduced in the human body image generation device according to the second basic embodiment of the present invention.
FIG. 41 is a diagram showing a fuzzy function expression related to the degree of concentration c introduced in the human body image generation device according to the second basic embodiment of the present invention.
FIG. 42 is a view showing a fuzzy function expression relating to a flushing degree r of a face introduced in the human body image generating apparatus according to the second basic embodiment of the present invention.
FIG. 43 is a diagram for explaining the rule of fuzzy inference introduced for the human body image generating apparatus according to the second basic embodiment of the present invention, and FIG. 43 (A) shows the probability of body temperature b and the degree of concentration c; It is a figure which shows the table data which determines the probability of the flushing degree r of a face based on the combination of a probability, and the figure (B) obtained from the combination of each fuzzy set according to the specific body temperature b and the concentration degree c. The figure which shows the process (rule) which calculates the value with high validity as a value which the flushing degree r takes as a probability.
FIG. 44 is a view for explaining a rule of inference in a fuzzy function expression of a flushing degree r introduced with respect to a human body image generating apparatus according to a second basic embodiment of the present invention.
FIG. 45 is a diagram for explaining a change in the shape of a membership function introduced for a human body image generation device according to the second basic embodiment of the present invention.
[Explanation of symbols]
[First Basic Embodiment]
1 ... Psychological state generator,
2. Physiological condition generator
3 ... individual difference generation unit,
4... Environmental condition generation unit
5 ... action script,
6… CG operation data creation module
7 CG operation data creation unit
8 ... basic shape data,
9 CG shape data generation unit,
10 CG data generation unit,
11 ... image synthesis unit,
12 ... output part,
13 ... generated image.
[Second basic embodiment]
11A: sample input section,
11B: individual difference generation unit,
12 ... physiological condition category input unit,
13. Physiological characteristic generator
14 ... psychological state category input section,
15 ... Psychological characteristic generator,
16 ... operation characteristic generation unit
17 ... shape characteristic generation unit,
18 ... physiological state generating unit,
19 ... Psychological state generator,
20… environmental state generation unit,
21 ... action script,
22… CG operation data creation module
23 CG operation data creation unit
24… basic shape data,
25 CG shape data generation unit,
26 CG data generation unit
27… image synthesis unit,
28 ... output unit,
29 ... generated image.

Claims (6)

In a human body image generation device that generates a simulated human body image,
Environmental parameter generating means for generating a parameter indicating the state of the environment according to the surrounding environment;
A psychological parameter generating unit that generates a parameter indicating a mental state according to the environmental state parameter generated by the environmental parameter generating unit and a psychological characteristic of a human body to be subjected to image generation; and the environmental parameter generating unit Physiological parameter generation means for generating a parameter indicating the state of the physiology, according to the parameters of the environmental state generated by and the physiological characteristics of the human body for which the image is to be generated,
Parameter updating means for updating the parameter of the mental state generated by the psychological parameter generating means and the parameter of the physiological state generated by the physiological parameter generating means in accordance with the parameter generated by the mutual parameter generating means; Image generating means for generating an image of a human body in accordance with at least one of the parameters of the environmental condition, the psychological condition, and the physiological condition ;
further,
In the psychological parameter generation means, a relationship between an externally applied parameter and a parameter indicating a mental state generated by the psychological parameter generation means, and in the physiological parameter generation means, an externally provided parameter and the physiological parameter generation A human body image generating apparatus , wherein a relation with a parameter indicating a physiological state generated by the means is set as a fuzzy function relation . In a human body image generation device that generates a simulated human body image,
Environmental parameter generating means for generating a parameter indicating the state of the environment according to the surrounding environment;
A psychological parameter generating unit that generates a parameter indicating a mental state according to a parameter of the environmental state generated by the environmental parameter generating unit and a psychological characteristic of a human body targeted for image generation,
Physiological parameter generating means for generating a parameter indicating a physiological state, in accordance with the parameters of the environmental state generated by the environmental parameter generating means and the physiological characteristics of the human body to be image-generated,
Parameter updating means for updating the parameter of the mental state generated by the psychological parameter generating means and the parameter of the physiological state generated by the physiological parameter generating means in accordance with the parameter generated by the mutual parameter generating means;
A shape data registration unit in which data representing the shape of the human body is registered,
An operation data registration unit in which data representing the operation of the human body is registered;
Based on the data representing the shape of the human body read from the shape data registration unit, the shape of the human body corresponding to at least one of the environmental condition parameter, the psychological condition parameter, and the physiological condition parameter is determined. Shape data generating means for generating data to represent;
Based on the data representing the motion of the human body read from the motion data registration unit, the motion of the human body according to at least one of the environmental condition parameter, the psychological condition parameter, and the physiological condition parameter is described. Operation data generation means for generating data to represent;
Image generating means for generating an image of a human body by combining data representing the shape of the human body generated by the shape data generating means and data representing the motion of the human body generated by the motion data generating means ,
further,
In the psychological parameter generating means, the relationship between the parameters indicating the state of psychological generated by the parameter and the psychological parameter generating means for externally applied, and at the physiological parameter generating unit, the parameter with the physiologically parameter given from the outside A human body image generating apparatus , wherein a relation with a parameter indicating a physiological state generated by the generating means is set as a fuzzy function relation . An individual difference generation unit that generates a parameter indicating a different characteristic depending on an individual human body to be subjected to image generation,
The psychological parameter generating unit is configured to generate a parameter of the environmental state generated by the environmental parameter generating unit, a parameter of an individual difference generated by the individual difference generating unit, and a psychological characteristic of a human body to be subjected to image generation. , Generate parameters that indicate the state of mind ,
The physiological parameter generating means is configured to generate a parameter of an environmental state generated by the environmental parameter generating means, a parameter of an individual difference generated by the individual difference generating means, and a physiological characteristic of a human body for which an image is to be generated. , To generate a parameter indicating the state of the physiological ,
further,
In the psychological parameter generation means, a relationship between a parameter of an environmental state generated by the environmental parameter generation means and a parameter of a psychological state generated by the psychological parameter generation means is set as a fuzzy function relation, and the individual difference Setting the change of the parameter of the psychological state according to the influence of the parameter of the individual difference generated by the generation means as the change of the shape of the membership function in the fuzzy function;
In the physiological parameter generating means, a relation between a parameter of an environmental state generated by the environmental parameter generating means and a parameter of a physiological state generated by the physiological parameter generating means is set as a fuzzy function relation, and the individual difference 3. The method according to claim 1 , wherein a change of the parameter of the physiological state according to an influence of the parameter of the individual difference generated by the generation unit is set as a change of a shape of a membership function in the fuzzy function. The human body image generation device according to the above. In a human body image generation device that generates a simulated human body image,
Environment parameter generating means for generating a parameter indicating the state of the environment according to the surrounding environment;
Sample input means for inputting a sample value indicating the state of the environment, a sample value indicating the physiological state of the human body, and a sample value indicating the psychological state of the human body in any combination;
Physiological category input means for inputting a category of a physiological state of a human body;
According to the combination of the sample value indicating the state of the environment input by the sample input means and the sample value indicating the physiological state of the human body, the category of the human body to be subjected to image generation input by the physiological category input means Physiological characteristic generating means for generating a physiological characteristic corresponding to
Physiological parameter for generating a parameter indicating a physiological state according to a parameter of an environmental state generated by the environmental parameter generating unit and a physiological characteristic of a human body to be image-generated by the physiological characteristic generating unit Generating means;
A psychological category input unit for inputting a category of a psychological state of the human body;
According to the combination of the sample value indicating the physiological state of the human body and the sample value indicating the mental state of the human body input by the sample input means, the image is input by the psychological category input means of the human body to be image-generated. A psychological characteristic generating means for generating a psychological characteristic corresponding to the category,
A parameter indicating a psychological state is generated according to a parameter indicating a physiological state generated by the physiological parameter generating unit and a psychological characteristic of a human body to be subjected to image generation generated by the psychological characteristic generating unit. Psychological parameter generation means,
In accordance with a combination of a sample value indicating a physiological state of a human body and a sample value indicating a psychological state of the human body input by the sample input unit, a shape for generating a characteristic of a shape change of a human body to be image-generated. Characteristic generating means;
A shape data registration unit in which data representing a shape of a human body is registered,
Based on the data representing the shape of the human body read from the shape data registration unit, the parameters of the physiological state generated by the physiological parameter generating means and the parameters of the mental state generated by the psychological parameter generating means and the shape Shape data generating means for generating data representing the shape of the human body according to the characteristic of the shape change generated by the characteristic generating means,
An operation characteristic for generating a characteristic of an operation of a human body to be image-generated according to a combination of a sample value indicating a physiological state of the human body and a sample value indicating a psychological state of the human body input by the sample input unit; Generating means;
An operation procedure input means for inputting a procedure of an operation of a human body to be subjected to image generation;
An operation data registration unit in which data representing a human body operation is registered;
Based on the data representing the motion of the human body read from the motion data registration unit in accordance with the procedure of the human body motion input by the motion procedure input means, the parameters of the physiological state generated by the physiological parameter generating means and the psychological condition Motion data generating means for generating data representing a motion of a human body in accordance with the parameters of the psychological state generated by the parameter generating means and the characteristics of the human body motion generated by the motion characteristic generating means;
Image generating means for generating an image of a human body by combining data representing the shape of the human body generated by the shape data generating means and data representing the motion of the human body generated by the motion data generating means,
further,
In the physiological characteristic generated by the physiological characteristic generating unit, the relationship between the parameter of the environmental state and the parameter of the physiological state corresponding to the category input by the physiological category input unit, and the physiological characteristic generated by the psychological characteristic generating unit. In the psychological characteristics, the relationship between the parameter of the physiological state and the parameter of the psychological state corresponding to the category input by the psychological category input means, and the characteristic of the shape change generated by the shape characteristic generating means, The relationship between the shape parameter with respect to the state parameter and the mental state parameter, and the relationship between the physiological parameter and the mental state parameter in the motion characteristic generated by the motion characteristic generating means. Is set as a fuzzy function relationship. Human body image generating apparatus according to. The human body image generation device according to claim 4, wherein the environment parameter generation unit is an environment sensor that detects a surrounding environment state. An individual difference generating unit that generates a parameter indicating a different characteristic according to an individual human body to be subjected to image generation,
The physiological characteristic generating means may include a combination of a sample value indicating an environmental state input by the sample input means and a sample value indicating a physiological state of a human body, and an individual difference parameter generated by the individual difference generating means. Accordingly, a physiological characteristic corresponding to the category of the human body to be image-generated by the physiological category input means is generated,
The psychological characteristic generating means is a combination of a sample value indicating a physiological state of a human body input by the sample input means and a sample value indicating a psychological state of the human body, and an individual difference generated by the individual difference generating means. According to the parameter, generate a psychological characteristic corresponding to the category of the human body to be subjected to image generation input by the psychological category input means,
The shape characteristic generating means is a combination of a sample value indicating the physiological state of the human body and a sample value indicating the psychological state of the human body input by the sample input means, and an individual difference generated by the individual difference generating means. According to the parameters, generate the shape change characteristics of the human body to be image-generated,
The operating characteristic generating means is a combination of a sample value indicating a physiological state of a human body and a sample value indicating a psychological state of the human body input by the sample inputting means, and an individual difference generated by the individual difference generating means. According to the parameter, the characteristic of the motion of the human body to be image-generated is generated,
further,
In the physiological characteristics generated by the physiological characteristic generating means, a relation between a parameter of an environmental state and a parameter of a physiological state corresponding to the category input by the physiological category inputting means is set as a relation of a fuzzy function, Setting the change of the parameter of the physiological state according to the influence of the parameter of the individual difference generated by the individual difference generating means as a change of the shape of the membership function in the fuzzy function;
In the psychological characteristics generated by the psychological characteristics generating means, a relationship between a parameter of a physiological state and a parameter of a psychological state corresponding to the category input by the psychological category inputting means is set as a relation of a fuzzy function, Setting a change in the parameter of the psychological state according to the influence of the parameter of the individual difference generated by the individual difference generation unit as a change in the shape of the membership function in the fuzzy function;
In the characteristic of the shape change generated by the shape characteristic generating means, the relationship between the parameter of the physiological condition and the parameter of the psychological condition and the parameter of the shape change is set as a fuzzy function relationship, and the relation is generated by the individual difference generating means. The parameter change of the shape change according to the effect of the parameter of the individual difference is set as a change in the shape of the membership function in the fuzzy function,
In the characteristic of the motion generated by the motion characteristic generating means, the relation between the parameter of the physiological state and the parameter of the psychological state is set as the relation of the fuzzy function and generated by the individual difference generating means. 5. The human body image generation device according to claim 4, wherein a change in the parameter of the operation according to the influence of the parameter of the individual difference is set as a change in the shape of the membership function in the fuzzy function.

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