KR20200090021A - Apparatus for psychiatric evaluation using art - Google Patents

Abstract

The present invention relates to an apparatus using an electronic calculator and/or artificial intelligence for assisting a determination by an expert or enhancing the expert determination by automating an art psychotherapy test. According to the present invention, the apparatus includes: a picture interpreter extracting characteristics by interpreting content of a picture which is drawn by an examinee to be a basic material for an art psychotherapy test; a classifier classifying the characteristics, extracted by interpreting the content of the picture through the picture interpreter, by preset label; and a determiner outputting determination data by determining the psychological condition, personality, tendency, family relations, left-brain and right-brain preference, sociality and familiarization of the examinee based on the characteristics classified by the classifier from the picture interpreted by the picture interpreter. Here, at least one of the picture interpreter, the classifier and the determiner includes a learning and inference model comprising at least one artificial intelligence neural network. Also, the apparatus is constituted with an electronic calculation system for data interpretation, classification and inference (for example, a deep neural network, an image processor, an algorithm calculator or the like).

Description

Apparatus for psychiatric evaluation using art}

The present invention relates to a psychological test, and more particularly, to an electronic computing device that automatically performs a psychological test using art or painting.

Various methods for psychological tests are being implemented. Among them, there are psychological tests performed through art or painting, especially for children. Such an art psychological test can also be used as a developmental function test for preschool children. Art psychological examination is grasped by the basic elements in the expression of pictures, such as form, movement, and space usage. By drawing the subjects who have been researched to reflect various psychological examination items, they project the conflict or tension, personal psychology, personality, sociality, and tendency toward family, which the subject feels consciously or unconsciously. Through this, the subject's unconscious information or psychological state can be grasped.

The art psychological test, like other psychological tests, takes time because it needs to be read by an expert, and the results of interpretation are uneven. In particular, in the case of an issue where only a simple judgment can be actually made to the subject, the expert may not need to perform it. In other words, there are cases in which the expert must perform, while the expert may not have to do it directly. For example, public services through the Internet, mobile, etc., primary (first) interpretation, crime profiling, personality test, etc. are not necessary for the prior examination data as an abbreviation of the psychological examination.

An object of the present invention is to propose an apparatus using an electronic calculator and/or artificial intelligence to assist the expert judgment or to reinforce the expert judgment by automating the art psychological examination when necessary.

In order to solve the above problems, the present invention, a picture interpreter for extracting features by analyzing the contents of the picture that the picture drawn by the subject is the basic data of the art psychological examination; A classifier that analyzes the contents of the picture in the picture interpreter and classifies the extracted features according to a predetermined label; And a judger that outputs judgment data by determining the psychological state, personality, propensity, family relations, left and right brain preference, sociality, and familialization of the examinee using features classified by the classifier from the picture interpreted by the picture interpreter. Here, at least one of the picture interpreter, classifier, and judger includes a learning and inference model composed of an artificial intelligence neural network. And it is implemented as an electronic calculation system (eg, deep neural network, image processor, algorithm operator, etc.) for data interpretation, classification, and inference.

The picture interpreter may include a cat picture analysis part, a concentric circle analysis part, a sociality analysis part, a tree picture analysis part, and a fish picture analysis part.

The classifier categorizes the features extracted from the cat picture analysis unit by a predetermined label, the categorized feature classification unit classifies the features extracted from the concentric circle analysis unit, and the features extracted from the social analysis unit. A social feature classifying unit that classifies the items by a predetermined label, a tree picture feature classifying unit that classifies the features extracted from the tree picture analysis unit by a predetermined label, and a fish picture classifying features extracted from the fish picture analysis unit by a predetermined label. It may include a feature classification.

In addition, the judging unit is a left and right brain preference determining unit for judging left and right brain preferences from the features classified in the classifier, a psychological judging unit for determining a subject's personality, propensity, psychological state, family relationship, etc. from the features classified in the classifier, It may include a familialization determining unit for determining the family of the subject from the features classified in the classifier, a socialization determining unit for determining the sociality of the subject from the features classified in the classifier.

In another embodiment, the judging unit, a left and right brain preference determining unit for judging left and right brain preference from the features classified in the cat picture feature classification unit of the classifier, the cat picture feature classification unit, the tree picture characteristic classification unit, and the fish of the classifier Psychological judgment unit that judges the personality, inclination, psychological state, family relationship, etc. of the subject from the features classified in the picture feature classification unit, and a family uniting determination unit that judges the family of the subject from the features classified in the concentric feature classification unit of the classifier, It may include a sociality judging unit for judging the sociality of the subject from the features classified in the socialistic feature classification unit of the classifier.

The configuration and operation of the present invention introduced above will be further clarified through specific embodiments described with reference to the drawings.

According to the present invention, by automating the art psychological examination, it can not only serve as an auxiliary role for judgment by experts, but also strengthen the judgment of experts, public services through the Internet, mobile, etc., initial interpretation, crime profiling, personality test, and summary psychology It can be used for inspection.

1 is an overall configuration diagram of an art psychological examination apparatus according to an embodiment for carrying out the present invention
2 is an exemplary view of an instruction to draw a cat picture to a subject for left and right brain preference test and psychological test
3A and 3B are exemplary views of an instruction to draw a concentric circle to a subject for a life space test.
4A and 4B are exemplary diagrams of instructions for a subject to draw a picture of a triangle and a circle in order to examine a social atom.
5 is an exemplary view of an instruction to have a subject draw a tree picture for personality, propensity, and/or psychological examination;
6A and 6B are exemplary views of an instruction for a subject to draw a fish picture for a family relationship and/or psychological examination.
7 is a cat picture feature classifying unit 150 that classifies the features extracted from the cat picture analysis unit 100 for each label, and the right and left brain preferences are determined from features classified in the cat picture characteristic classifying unit 150. The left and right brain preferences also indicate a determination unit 600 and a psychological determination unit 700 for determining the psychology of the subject.
8A-D are exemplary diagrams of a method for determining left and right brain preferences from a cat picture.
9A and 9B are exemplary views of cat pictures
10A to G are exemplary views of a method in which an expert judges a subject's psychology from a cat picture.
FIG. 11 determines a subject's family space from features classified in a concentric circle feature classification unit 250 and concentric circle feature classification units 250 that classify features extracted from the concentric circle analysis unit 100 by predetermined labels. It represents the family-oriented judgment unit 800.
12a to c are exemplary views of a method in which an expert judges the familyization of a subject from a concentric circle drawing.
FIG. 13 determines the sociality of the subject from the characteristics classified by the social characteristics classification unit 350 and the characteristics classified by the social characteristics classification unit 350 by classifying the features extracted from the social atom analysis unit 300 by predetermined labels. Represents the sociality determining unit 900.
14a to i are exemplary views of a method in which an expert judges the sociality of a subject from a figure for determining sociality
15 is a tree picture feature classification unit 450 for classifying features extracted from the tree picture analysis unit 400 for each label, and a tree picture feature classification unit 450 for determining a subject's psychology. The psychological judgment unit 700 is shown.
16A to G are exemplary views of a method in which an expert judges a subject's psychology from a tree picture.
17 is a fish picture feature classifying unit 550 for classifying features extracted from the fish picture analysis unit 500 for each label, and determining the psychology of the subject from features classified in the fish picture characteristic classifying unit 550. The psychological judgment unit 700 is shown.
18A to H are exemplary views of a method in which an expert judges a subject's psychology from a fish picture.

Advantages and features of the present invention, and a method of achieving them will become apparent by referring to embodiments described in detail with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various different forms, and only the present embodiments make the disclosure of the present invention complete, and have ordinary knowledge in the art to which the present invention pertains. It is provided to fully inform the person of the scope of the invention, and the invention is defined by the description of the claims.

On the other hand, the terms used in this specification are for describing the embodiments and are not intended to limit the present invention. In the present specification, the singular form also includes the plural form unless otherwise specified in the phrase. As used herein, “comprises” or “comprising” means the presence of one or more other components, steps, operations and/or elements other than the components, steps, operations and/or elements mentioned, or Addition is not excluded.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In adding reference numerals to the components of each drawing, the same components are assigned the same reference numerals as possible, even though they are displayed on different drawings, and in describing the present invention, detailed descriptions of related well-known components or functions When the subject matter of the present invention can be obscured, the detailed description thereof will be omitted.

1 is an overall configuration diagram of an art psychological examination apparatus according to an embodiment for carrying out the present invention.

The picture drawn by the subject becomes the basic data for the art psychological examination, and there is a picture preprocessor 10 for preprocessing the picture. Pre-processing of pictures is done by image scanning or by interpreting features from pictures entered by direct input to a painting tool. To reduce errors in subsequent automobile processing steps and improve processing efficiency, picture quality, clarity, brightness, and saturation It is the role to correct color, tilt, etc.

The drawings required in the art psychological examination according to the present invention are schematically introduced. FIG. 2 shows an example of an instruction to instruct a subject to draw a cat picture for left and right brain preference tests and psychological tests. 3A and 3B are examples of instructions for instructing a subject to draw a concentric circle for a life space test. 4A and 4B give examples of instructions for a subject to draw a picture of a triangle and a circle in order to examine a social atom. FIG. 5 gives an example of an instruction to ask a subject to draw a tree for personality, orientation, and/or psychological testing. 6A and 6B are examples of instructions for instructing a subject to draw a fish for family relations and/or psychological testing.

Returning to FIG. 1 again, the picture interpreter 20 analyzes the contents of the picture and extracts a feature after the preprocessor 10 preprocesses the picture drawn and input (or scanned) by the subject. In particular, the art psychological examination device of the present embodiment is a cat picture analysis unit 100, a concentric circle analysis unit 200, a social atom analysis unit 300, a tree picture analysis unit 400, a fish picture analysis unit 500 ). Details of each analysis part will be described later. Here, the picture interpreter 20 may be constructed of artificial neural networks such as a convolutional neural network (CNN) and a circular neural network (RNN). After learning and inferring a neural network model by inputting a large number of picture data into the neural network as learning data, you can enter the picture data into the neural network model for analysis. The performance of this neural network model will evolve as the results of gradual interpretation of pictures gradually increase.

The classifier 30 analyzes the contents of the picture in the picture interpreter 20 and classifies the extracted features according to a predetermined label, which can also be constructed with artificial intelligence neural networks such as CNN and RNN. After building the neural network model (learning and reasoning model) specialized for the art psychological examination of the present invention by inputting and learning a number of extracted features into the neural network as learning data, the picture analysis data is input to the neural network model and classified by label. The performance of the neural network model will evolve as the classification performance gradually increases. The classifier 30 categorizes the features extracted from the cat picture analysis unit 100 by predetermined labels, and the concentric circles that classify the features extracted from the concentric circle analysis unit 200 by predetermined labels. The feature classification unit 250, the social characteristics analysis unit 300 to classify the features extracted by a predetermined label according to the social characteristics classification unit 350, the tree image analysis unit 400 to classify the features by a predetermined label It includes a tree picture feature classifier 450 and a fish picture feature classifier 550 that classifies the features extracted from the fish picture analysis unit 500 for each label. Details will be described later.

The judging machine 40 includes each cat picture interpreter 100 of the picture interpreter 20, concentric circle analysis part 200, sociality analysis part 300, tree picture analysis part 400, and fish picture analysis part 500. Each cat picture feature classifier 150 of the classifier 30, concentric circle (family) feature classifier 250, social feature classifier 350, tree figure feature classifier 450, fish figure feature classification A variety of psychological states, personalities, inclinations, family relations, preferences for left and right brains, sociality, and familialization are judged from features classified in the unit 550 and judgment data are output.

Specifically, the determiner 40 determines the left and right brain preferences to determine left and right brain preferences from features classified in the classifier 30 (for example, features classified in the cat picture feature classifying unit 150). Wow, the characteristics of the subject classified from the features classified in the classifier 30 (for example, features categorized in the cat figure feature classifier 150, the tree figure feature classifier 450, and the fish figure feature classifier 550). , Subject's Life Space from the psychological judging unit 700 for judging the propensity, psychological state, family relationship, etc., and features classified in the classifier 30 (for example, features classified in the concentric feature classification unit 250) The socialization determination unit 800 determines the sociality of the subject from the family classification determination unit 800 for determining (family), and the characteristics classified in the classifier 30 (for example, the characteristics classified in the social characteristics classification unit 350) ( 900).

The determiner 40 can also be constructed with artificial intelligence neural networks such as CNN and RNN. After constructing a learning/inference neural network model by inputting and learning a plurality of classified features into the neural network as learning data, the psychology of the subject can be determined from the neural network model. The performance of this neural network model will evolve as the results of judgment gradually build up. Again, more details will be described later.

7 is a cat picture feature classification unit 150 for classifying features extracted from the cat picture analysis unit 100 for each label and a cat picture feature classification unit 150 for determining left and right brain preferences. The left and right brain preferences also indicate a determination unit 600 and a psychological determination unit 700 for determining the psychology of the subject.

First, the label classified by the cat picture feature classifying unit 150, as shown in FIG. 7, shows the static and dynamic appearance of the cat, the conceptual (specific) expression and abstract expression, the size of the cat, the size of the cat, the left gaze direction and the right gaze direction, Downward and upward tail directions, many details and few details, stories and objects around and without cats, size and size of objects, three-dimensionality and flatness of expression, description and immortality of mouth, expression and non-expression of color boundaries , The number of cats is 1 or more than 1, whether there is a fingerprint or a sign.

The cat picture features classified by each label are output as the left brain preference determination result 610 or the right brain preference determination result 620 by determining the brain preference of the subject by the left and right brain preference determining unit 600 of the determiner 40. .

Before explaining the technical configuration and operation of the cat picture feature classification unit 150 and the left and right brain preference determining unit 600 shown in FIG. 7, first, to help the understanding, the subject's left and right brain preference (the subject) Is a left-brain style or a right-brain style).

As shown in FIG. 8A, the expressionless cat picture is judged by the left brain style, and the cat picture with emotion expression as shown in FIG. 8B is judged by the right brain style. It is the right brain that oversees the joy of humanity. Therefore, if you can read emotions from the cat's expression, it is a right-brain style, and the left-brain style can be inferred from an expressionless face that cannot read the emotions of a cat. Also, as shown in FIG. 8C, a cat picture with a low color represents the left-brain style, and a cat picture with a lot of color as shown in FIG. 8D shows a right-brain style. The left-brain style tends to be simple and the amount of color used is small, while the right-brain style has a large number of colors to use, so the screen looks rich.

The cases of FIGS. 8A, 8B, 8C, and 8D described above are a judgment method by an expert, and in order to automate this, electronic calculation is possible and it is possible when the judgment result is reproducible and sustainable. To this end, the configuration and action of determining the preference of the subject's left and right brains from the cat picture are returned to FIG. 7, and the features classified by the cat picture feature classifying unit 150 and the left and right brain preference determining unit 600 for each characteristic are determined. Explain the results.

Features required for determining left and right brain preferences in the right and left brain preference determining unit 600 are cat appearance characteristics 152, expression accuracy characteristics 154, detailed description accuracy characteristics 162, and story or object characteristics around the cat 164. , Object size feature 166, three-dimensional expression feature 168. Each will be described in detail.

When the cat figure feature 152 classified in the cat picture feature classifying unit 150 is static, the left and right brain preference determining unit 600 determines the left brain style, and in the dynamic case, the right brain style. 9A is an example of a static cat shape. The cat picture feature classifying unit 150 may extract a feature of a static/dynamic cat shape using a feature extraction model learned by a lot of data.

The cat's expression level feature 154 is classified into a conceptual (specific) case and an abstract case, and in the former case, the left and right brain styles and the right and left brain preference determining unit 600 determine. Here, as an example of a conceptual cat expression feature, the head has a front view, a beard with 3 left and right angles, a body with a side view, 4 legs, and 1 tail.

The level of detail feature 162 is classified into many and few, and the left and right brain preference determining unit 600 determines the right brain style in the former case and the left brain style in the latter case. Here, the degree of detail can be exemplified by the appearance of the cat's paws and the toes erupting. As mentioned above, it is possible to extract the cat's detailed features using a feature extraction model learned from a lot of data.

Depending on the presence or absence of a story or object feature 164 around the cat, the left and right brain preference determining unit 600 may determine the brain preference of the subject. If a story or object is drawn around a cat, it is judged to be a right-brain style, and if there is no story or object around the cat, it is judged as a left-brain style. 9B is an exemplary view of a picture in which a story or object is drawn around a cat. There is a cat on the desk, square furniture on the left side of the desk (you can judge it as a refrigerator), a door on the right side, and a picture on the wall. The feature extraction model can first extract the shape of the trained cat and judge for itself whether other objects, or even stories, exist around it.

Whether the size characteristic 166 of the object around the cat is large or small is also a criterion for judging the preference for left and right brains. If the object is larger than the overall area, it is judged by the right brain style. Objects such as desks, refrigerators, doors, etc. are large, while the rest of the objects are small.

When the three-dimensional expression feature 168 is extracted and the picture is expressed in three dimensions, it is determined as a right brain style, and when it is expressed in a flat manner, it is determined as a left brain style. 9B, the feature extraction model can be judged to be a three-dimensional picture that can sense a difference in perspective from the screen configuration where the refrigerator and the desk overlap.

Next, returning to FIG. 7 again, the psychological determination unit 700 for determining the psychology of the subject from the features classified by the cat picture feature classification unit 150 will be described. A test that judges a subject's psychology from a cat picture is called a'cat psychological test'. Before explaining the technical configuration and operation of the cat picture feature classification unit 150 and the psychological judgment unit 700 shown in FIG. 7, first, to assist the understanding, the expert judges the psychology of the subject from the cat picture drawn by the subject Introduce briefly.

As shown in the left side of Fig. 10A, the cat's presence in the night scenery is hard to reveal, or the cat hiding under the car as shown on the right has a tendency to lack of self-esteem and lack of self-esteem and inferiority. As shown in Fig. 10b, a picture of a long cat searching through a trash bin is also likely to be a person who lacks self-esteem. As shown in Fig. 10c, even if the cat's shape is too weak to be easily seen, there is a high possibility that the self-esteem is weak and the inferiority is severe. When the appearance of the cat is small as shown in FIG. 10D, it can be regarded as having less self-esteem and is also an expression of inferiority.

As shown in FIG. 10E, most of the children who have a body inside but tend to admire the outside tend to have poor sociality.

As shown in FIG. 10F, the unusually large cat and the exceptionally small cat are likely to be dependent on a person who symbolizes a large cat.

As shown in Fig. 10g, a proud cat sitting on a chair or on a cushion is more likely to be pretend to be a good boy, a prince, or a princess, and have a self-centered thinking.

In the case of FIGS. 10A to G above, it is a judgment method by an expert. In order to automate this, electronic calculation is possible and it will be possible when the judgment result is reproducible and sustainable. To this end, the composition and the action of determining the psychological state or personality of the subject from the cat picture are returned to FIG. 7, and the features classified by the cat picture feature classification unit 150 and the psychological determination unit 700 for each feature are determined. Explain the results.

As mentioned above, the features necessary for the judgment in the psychological judgment unit 700, in addition to the features required for the left and right brain preference determining unit 600, and the cat appearance characteristic 152 partially overlapping, the cat size characteristic 156, Staring direction feature 158, tail direction feature 160, cat mouth description feature 170, color boundary feature 172, cat number feature 174, fingerprint or display feature 176.

The psychological judgment for each feature will be described in detail.

When the cat-like feature 152 is static (see FIG. 9A ), the psychological determination unit 700 determines that the psychological state of the subject is passive. As mentioned above, the cat picture feature classification unit 150 may extract a feature of a static cat figure using a feature extraction model learned by a lot of data.

From the cat size feature 156, when the cat size is small, it is judged that the self-esteem is poor and the inferiority is compared to the large case. Here, the criterion for cat size may be determined through comparison with a preset threshold. For example, a threshold may be set when the cat's expression area is less than 30% of the total area of the picture.

The gaze direction feature 158 is categorized as whether the cat's face or eyes are toward the left or right, and the gaze direction is past-oriented, and when it is in the right direction, the subject's psychological or personality is determined. The gaze direction can be grasped from the cat-shaped learning data to the position of the body of elements such as the face, eyes, ears, nose, mouth, and whiskers.

The tail direction feature 160 is classified as up or down. If the tail direction is downward, it is considered obedient, and if it is upward, it is considered to be disobedient.

With the cat mouth description feature 170, it is determined whether the subject has a large or small number depending on whether the cat has a mouth or not.

The color boundary feature 172 is a characteristic of whether or not the boundary area is well-painted and whether it is painted or not. If the boundary of the color expression is well maintained, it is determined that the coordination is good and delicate.

The cat number feature 174 represents sibling relationships. For example, it is judged that if one cat is drawn, it represents the sibling relationship of one child, and if more than one cat is drawn, it represents the sibling relationship of multiple children.

Fingerprint or display features 176 included in the cat's picture indicate the degree of appetite and greed.

FIG. 11 determines the life space of a subject from features classified in the concentric circle feature classification unit 250 and concentric circle characteristic classification unit 250 to classify features extracted from the concentric circle analysis unit 100 by predetermined labels. It represents the family-oriented judgment unit 800.

First, the labels classified by the concentric feature classification unit 250, as shown in FIG. 11, the parental expression feature 252, the parental feature in the concentric circle (254), the distance between me and the parents (256), and the distance between me and the siblings ( 258), a feature of the shape of the line (260).

The features of the concentric circles classified for each label are output as the result of determining the family of the subject in the family determination unit 800 of the determiner 40.

Before explaining the technical configuration and operation of the concentric circle feature classification unit 250 and the familialization determination unit 800 shown in FIG. 11, first, to help the understanding, in the manner in which the expert determines the familialization of the examinee from the concentric circles drawn by the examinee Introduce.

Fig. 12A shows the determination of self-esteem and inferiority by drawing a concentric circle. When I (the subject who drew the picture) goes out of the house, there is a high probability of inferiority as a person who is not supported by parents. So it is highly likely that the meaning of the family is not much for this subject.

Fig. 12B shows the determination of the dependence with a concentric figure. Anyone who is at the center with me seems to have my support, and it is likely that he and I have similar inclinations, or it is possible that they are dependent on that person.

FIG. 12C is a picture of a concentric circle and shows a judgment of self-show, self-centered thinking. Decorating one's figure or emphasizing it with phrases, even when centered on me, is most likely an expression of self-show or strong self-love. These subjects tend to draw my position in the center and tend to be self-centered.

In the case of Figs. 12A to 12C above, it is a judgment method by an expert. In order to automate this, electronic calculation is possible and the judgment result will be possible when it is reproducible and sustainable. To this end, the configuration and action of judging the tendency and psychology related to the subject's familialization from the concentric circle drawing are returned to FIG. 11, and the familialization judging unit determines the psychology and propensity related to the subject's familialization from the features classified by the concentric feature classification unit 250 The judgment result of (800) will be described.

If there is a parental expression in the parental expression feature 252 among the features classified by the concentric feature classification unit 250, the familyization determination unit 800 determines that the family is a parent-centered family and there is little marital conflict. The result of the determination is output from the familyization determination unit 800.

The parent location feature 254 in the center circle is a feature for judging whether it is a patriarchal family or obedience of the mother. If the parents are drawn at the center, it can be regarded as a parent-centered family, and these parents can be inferred that there will not be much conflict between the couples. This family is a patriarchal family if the mother is above and the mother is obedient. If the mother is listed above, this family is mother-oriented. I judge that.

If the distance between me and parents is 256, the distance between me and the parents is close, and the parent's support for me is determined to be high. Also, if it is drawn that the distance between my brother and my parents is closer than the distance between me and my parents, I think that it is the younger brother who is supported by the parents.

When the distance between me and the siblings feature 258 is close to me and the siblings, it is determined that the relationship between me and the siblings is good.

If the line feature 252 is a straight line, it is determined to be friendly, and if it is a dotted line, it is determined to be hostile. More specifically, if the distance between me and my brother is far and a dotted line is displayed between me and my brother, it can be judged that the hostility toward my brother is revealed.

FIG. 13 determines the sociality of the subject from the features classified by the social feature classifying unit 350 and the social feature classifying unit 350 to classify the features extracted from the social atom analysis unit 300 for each label. Represents the sociality determining unit 900.

First, labels classified by the social characteristics classification unit 250, as shown in Figure 13, the number of people features (352), overlapping features (354), shape size features (356), size deviation features between figures (356), sibling display Features 356, distance between me and siblings feature 356.

The social characteristics classified by each label are output as a result of determining the sociality of the subject in the sociality determination unit 900 of the determiner 40.

Before explaining the technical configuration and operation of the social characteristics classifying unit 350 and the sociality determining unit 900 shown in FIG. 13, first, to assist the understanding, the expert determines the sociality of the subject from the drawing for determining the sociality drawn by the subject Introducing the method.

As shown in FIG. 14A, if the size of the triangle and the circle is constant, it is considered to be a rationalist and self-control is possible with the left brain style.

As shown in FIG. 14B, if the difference in the size of the triangle or the circle is severe, it is an emotionalist and judged by the right brain style.

14c and 14d, the subjects who like are unusually large and overlapping, and those who do not like are exceptionally small and distant, i.e., the subject who draws such that the division of size or distance is precisely divided into two is a right-brain style person who is an emotionalist, good and disliked There is a high probability of being a person with a strong preference for this reason, and for this reason, it may show a severe feeling of relief or a tendency to be stubborn.

14e, if I am exceptionally small compared to other people, there is a high probability that the self-esteem is weak.

As shown in FIG. 14F, it is judged that sociality is poor when drawing less than 7-8 people, and when drawing 7-8 or more people as shown in FIG. 14G, it is determined that sociality is smooth.

As shown in Fig. 14h, if I am in another person, it means that I am stuck with the person, and it is most likely dependent. It is also a natural phenomenon that can occur when a test subject is a young child, but if the test subject is a high school student or an adult, it is possible that the person has the same thinking as a young child.

As compared to other people as shown in FIG. 14i, if I am extraordinarily large and dressed with elements such as stars, hearts, crowns, etc., there is a high probability of being a person with great self-show. It may also be self-centered.

In the case of FIGS. 14A to I described above, it is a judgment method by an expert, and in order to automate this, it is possible to perform electronic calculation and when the judgment result is reproducible and sustainable. To this end, the composition and action for determining the sociality of the subject from the picture of the triangle/circle for the sociality test are returned to FIG. 13, and the sociality determination unit for determining the sociality tendency of the subject from the characteristics classified by the sociality characteristic classification unit 350 ( 900).

If the number of people (number of triangles or circles drawn by the subject) derived from the number of people feature 352 is greater than or equal to 7, 8, it is judged that the sociality is good, and if it is less than that, it is not good. If the number of figures is 7 or 8, it can be considered that sociality is relatively smooth, but it is not judged that sociality is very high.

When looking at the feature of overlapping shapes 354, a person with many overlaps (overlapping) between shapes judges that preference is clear, emotional relief is high, and stubbornness is strong. When there are few overlapping shapes and are separated between shapes, it is judged to be a person with the opposite tendency.

If the overall size is similarly small or large in the size and deviation characteristics 356 between the figures, the subject judges to have reasonable sociality, rational, and controllability. For example, if you like people who are unusually large and overlapping, and who don't like you are exceptionally small and far, i.e. the size or distance is divided into exactly two parts, you are more likely to have a preference for good and dislike. I think that it may show a severe emotional ups and downs or a tendency to be stubborn.

If all siblings are expressed by extracting the sibling display feature 356, the relationship is good, and if there are not siblings, the relationship is rejected or the relationship is judged to be bad. For example, if you do not draw a younger brother in your family, you can say that you are trying to reject your younger brother.

In the distance feature 356 between me and the brother/parent, it is determined that if the distance between the brother and the parent is close, it is an intimate relationship, but if it is far, it is in a conflict relationship.

15 is a tree picture feature classification unit 450 for classifying features extracted from the tree picture analysis unit 400 for each label, and determining the psychology of the subject from features classified in the tree picture feature classification unit 450. The psychological judgment unit 700 is shown.

First, the label classified by the tree picture feature classification unit 450, as shown in FIG. 15, the pressure member feature 452, the fruit display feature 454, the stem feature 456, the line superposition feature 458, the branch The pair-shaped feature of 460, the three-dimensional expression feature of the branch 462, the branch orientation feature 464, the tube completeness feature 466, the leaf feature 468, the root feature 470, the tube highlight feature 472 ), is a feature (474) of the stem expression on the tube.

The wooden picture features classified for each label are output as a psychological judgment result of the subject in the psychological determination unit 700 of the judger 40.

Before explaining the technical configuration and operation of the tree picture feature classification unit 450 and the psychological determination unit 700 shown in FIG. 15, first, to assist the understanding, a method in which an expert judges the psychology of the subject from the tree picture drawn by the subject Introduce.

As shown in Fig. 16A, the straight and angled branches are judged to be resistant, adaptive, stubborn, difficult to handle, disgruntled, and excitable emotionalists. The shaded or shaded tube, as shown in FIG. 16B, is influenced by emotion, empathy, mood dependent, lack of accuracy, pleasure-seeking, joyful to color, soft to color, feminine inclination or psychology Judge. As shown in FIG. 16C, the falling, falling fruit is judged as a loss, a sacrifice of something, abandonment of something, distraction, lack of concentration, and inferiority. As shown in Fig. 16D, the branches drawn symmetrically up and down are judged to be ambitious, non-obedient, complaining and unwilling, lack of adaptability, and lack of sociality. The fixed or repeated fruit or leaf as shown in FIG. 16E is judged as a lack of delayed development, independence, dependence, and self-expression. As shown in Fig. 16F, branches having support such as piles around the tree trunk are judged to be psychological seeking for safety, lack of instability, lack of independence, lack of self-belief, and support. When a flower is drawn as shown in Fig. 16G, self-respect, obsessed with beautiful things, masquerade, plausibly decorated, slanted ground lines, instability, weak will, unwilling to adapt, distrust, restraint Judging by the hearing.

In the case of FIGS. 16A to G described above, it is a judgment method by an expert, and in order to automate this, it is possible to perform electronic calculation and when the judgment result is reproducible and sustainable. To this end, the configuration and operation of determining the psychology of the subject from the tree picture is returned to FIG. 15, and the determination result of the psychological determination unit 700 that determines the psychology of the subject from the features classified by the tree picture feature classification unit 450 Explain.

The pressure-absorption feature 452 is the degree to which the screen is empty, but in the absence of pressure (female), it is a sensitive, unadulterated reality (not actually stepping on it), and a mentality of confusion (not knowing how to behave mentally). It is judged to have. When there is pressure (negative), it is judged by the opposite tendency.

When the fruit is displayed in the fruit display feature 454, it is determined that there is a visual talent and an ability to observe.

In the stem (torso) feature 456, it is understood that the upper part and the lower part (base) of the body part expressed by the subject coincide, and that the lower part (base) is wider than the upper part. Judging by the blockade psychology.

In the line overlapping feature 458, the overlap or overlap of several lines and the degree of scattering of the lines are seen. It is judged that the more the lines are not overlapping and scattered, the more sensitive, sensitive, empathy, loss of personality, and the inability to clearly perceive the domain (me/you, ego/object).

The pair-shaped feature 460 considers a paired branch form and a non-paired form. When expressed as a paired branch, the subject judges that he or she has poor thinking, lack of thinking and judgment, lack of realism, lack of persistence, and unorganized thinking.

Productive talent when a branch is expressed in three dimensions (spatially expressed) in the three-dimensional expression feature 462 of the branch. It is judged to be inventor talent, original thinking, and stubbornness.

The branch orientation feature (464) is the branch. It includes features that extend downward and sideways, and when the branches extend upward, it is judged by emotional excitement, sudden anger, and lack of realism.

Considering the characteristics of the completed pipe and the characteristic of the pipe being disconnected from the upper stem in the pipe completeness feature 466, it is determined that the latter case is inferior, weak will, and lack of self-esteem.

If there is a leaf feature 468, it shows a strong will, and if it is a tree without a leaf, it shows a feeling of inferiority, weak will, and lack of self-esteem. On the other hand, it is judged that the will is strong in the case of lush features.

When the root feature 470 is visible on the ground, there is a high probability that the subject is conservative and correct style.

When the highlight position feature 472 is the highlight feature on the left, it is determined as an introvert, coolness, and silence.

If the stem representation feature 474 expresses the stem above the tube in detail, it is judged that the subject is a pioneer and has an honest mind about reality.

17 is a fish picture feature classification unit 550 for classifying features extracted from the fish picture analysis unit 500 for each label, and determining the psychology of the subject from features classified in the fish picture characteristic classification unit 550. The psychological judgment unit 700 is shown. The fish picture test is a psychological test related to the dynamism of the family.

First, the label to be classified by the fish picture feature classifying unit 550, as shown in Figure 17, the pressure rating feature (552), non-fish decorative features (554), fish size features (556), fish shape features (558), Fish tooth features 560, stone number features 562, stone size features 564, structure features 566, balloon features 568.

The fish picture features classified for each label are output from the psychological determination unit 700 of the judge 50 as a psychological judgment result of the examinee.

17. Before explaining the technical configuration and operation of the fish picture characteristic classification unit 550 and the psychological determination unit 700 shown in FIG. 17, first, to assist the understanding, the expert judges the psychology of the subject from the fish picture drawn by the test subject Introduce.

When drawing a colorful fish with a shape, pattern, color, etc., as shown in FIG. 18A, it is highly likely to be an owner of a sentimental and sensuous tendency in the right-brain style, which is an emotionalism. have. It is judged that the presence of fish hiding in too many water pools, as shown in FIG. 18B, means a tendency to desocialization and inferiority to hide. If the shape of the fish is too small, as shown in FIG. 18C, it is highly likely that the owner has a low self-esteem and an introverted tendency, and may show a tendency to self-reduction and depression. As shown in Fig. 18D, a person who does not draw himself is less likely to have confidence and has low self-esteem. It also means a feeling of anxiety or lack of belonging in the family. As shown in Fig. 18e, if too much attention is placed on the surrounding decoration, it is judged that he is interested in socialization. On the other hand, as shown in Fig. 18f, when drawing only fish without surrounding decoration, it indicates the interest or concern of human relations, and it is judged that there is a problem in human relations. If there is an oxygen supply as shown in Fig. 18g, it is judged as a person having a dependency state or a tendency of personality. When the shape of the fish is too large, as shown in FIG. 18H, it is highly likely to be a self-centered and extroverted owner, and sometimes aggressive, impatient, angry, exaggerated, improperly compensated defense feelings, severe hyperactivity, self-expansion, and fanciful self It also tends to.

In the case of FIGS. 18A to H described above, a judgment method by an expert is used. In order to automate this, electronic calculation is possible, and it is possible when the judgment result is reproducible and sustainable. To this end, the configuration and action of determining the psychology of the subject from the fish picture is returned to FIG. 17, and the determination result of the psychological determination unit 700 that determines the psychology of the subject from the features classified by the fish picture feature classification unit 550 is determined. Explain.

If the pressure characteristics 552 are not ordered or the density is weak, the pressure characteristics are considered to be passive and lack of confidence, and are judged to have a depressive tendency.

If the decoration feature 554 other than fish is a feature of drawing only fish without surrounding decoration, it is determined that there is a problem or problem in human relationships.

When the fish size feature 556 is a feature in which the shape of the fish is expressed too small, it is determined that it is highly likely to be an owner with a low self-esteem and an introverted tendency, and may show a tendency to self-reduction and depression. The size of the fish can be determined by the relative size of the fish compared to the fish tank. In addition, the fish size feature may include the relative size between fish, in which case it can be determined that the larger fish among the parents is the center of power and authority in the family. For example, a common expression is usually that the parent fish is largely drawn in the center. However, if only the fish of the father are expressed in a toxic way, this is a symbolic expression that the power of the father is the strongest, and it is likely that such a father is an authoritarian person.

The fish-shaped feature 558 includes features of a type of feeding, a form located under the fish tank, a form located on the fish tank, and a conversation between fish. In the case of the expression of the fish eating the food, it is judged that the expression expresses parents who are eager for economics to feed their children. From the bottom of the fish, it is determined that the subject is likely to be an owner of an accidental character. From the fact that the fish is located on the fish tank, it is considered that there is a high probability that he is a person who values behavioral aspects. And when there is a conversation between the fish, for example, if the content of the conversation is the parent fish instructing the child fish and the child is answering it, it can be determined that the parent of the subject is the instructing parent, If the conversation is disconnected, it can be judged that communication between families is not good.

Fish teeth feature (560)-If a fish with teeth exposed or a fish with large teeth is depicted, it can be interpreted as a negative expression of the aggressive state of emotion due to oppression or dissatisfaction.

The number of stones feature 562 expresses any worry or problem consciousness, and the more stones or gravel, the greater the worry or problem. The number of stones can be determined by determining whether the number of stones is greater than or less than a predetermined number (for example, 3 pieces).

The size feature 564 of the stone also expresses any worries or problem consciousness. The larger the stone, the greater the worry or problem, and the larger the size, the more unsocialized. The size of the stone is also large/small compared to the size of the fish tank.

Structure characteristics 566-If there is a structure such as a house, it can be interpreted as a desire to rest or be protected, and a tendency to have a desire for a stable house.

If the speech bubble feature 568 has been extracted, it means that the conversation is a psychological communication between families. The contents of the conversation can be deduced by text recognition of the description in the speech bubble.

In the present invention described above, the function or process of each component is a digital signal processor (DSP), processor, controller, application-specific IC (ASIC), programmable logic device (FPGA, etc.), and other electronic devices. It can be implemented as a hardware element that includes at least one and a combination of these. It can also be implemented in software, either in combination with hardware elements or independently, which can be stored on a record carrier.

The configuration of the present invention has been described in detail through preferred embodiments of the present invention. However, those skilled in the art to which the present invention pertains are disclosed herein without changing the technical spirit or essential features of the present invention. It will be understood that the lesson may be implemented in other specific forms. It should be understood that the embodiments described above are illustrative in all respects and not restrictive. The protection scope of the present invention is defined by the claims below, rather than by the detailed description, and all changes or modifications derived from the claims and equivalent concepts should be interpreted to be included in the technical scope of the present invention. .

Claims (4)

A picture interpreter that extracts features by interpreting the contents of a picture that is the basic data of an art psychological examination drawn by a subject;
A classifier that classifies the features extracted by interpreting the contents of the picture in the picture interpreter according to a predetermined label;
Includes a judgment unit that outputs judgment data by determining the psychological state, personality, propensity, family relations, left and right brain preference, sociality, and familyization of the subject using features classified by the classifier from the picture interpreted by the picture interpreter,
At least one of the picture interpreter, classifier, and judger includes a learning and inference model composed of an artificial intelligence neural network,
The picture interpreter is a cat picture analysis unit, a concentric circle analysis unit, a social analysis unit, a wooden picture analysis unit, a fish picture analysis unit characterized in that it comprises a fish picture analysis unit. In claim 1, The classifier
Cat picture feature classification unit to classify the features extracted from the cat picture analysis unit by predetermined labels,
Concentric circle feature classification unit to classify features extracted from concentric circle analysis units by predetermined labels,
Sociality feature classification unit that classifies features extracted from the sociality analysis unit by predetermined labels,
A tree picture feature classification unit that classifies the features extracted from the tree picture analysis unit for each label.
An art psychological examination device including a fish picture feature classification unit that classifies the features extracted from the fish picture analysis unit by predetermined labels. In claim 1, wherein the determiner
Left and right brain preference determining unit for determining left and right brain preference from the features classified in the classifier,
Psychological judgment unit to determine the personality, inclination, psychological state, family relationship of the subject from the features classified in the classifier,
A familyization determination unit that determines the familyization of the subject from the features classified in the classifier,
Art psychological examination device including a sociality determining unit for determining the sociality of the subject from the features classified in the classifier. In claim 2, The judging machine
Left and right brain preference determining unit for determining left and right brain preference from the features classified in the cat picture feature classification unit of the classifier,
Psychological judgment unit to judge the personality, inclination, psychological state, and family relationship of the subject from the features classified in the cat picture feature classification unit, the tree picture characteristic classification unit, and the fish picture characteristic classification unit of the classifier,
A familialization judging unit that judges the familialization of the subject from features classified in the concentric feature classification unit of the classifier,
An art psychological examination device including a sociality judging unit for judging the sociality of a subject from features classified in the socialistic feature classification unit of the classifier.

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