KR20110020709A - A quality test method of dermatoglyphic patterns analysis and program recording medium - Google Patents

Abstract

PURPOSE: An aptitude inspection method using a footprinting analysis and a computer readable recording the same are provided to find potential ability of an individual by predicting intelligence, and talent and inclination in advance by categorizing types of fingerprints, palm patterns, and footprints. CONSTITUTION: Images of fingerprints, palm patterns, and footprints are displayed on a screen through a scanner. Patterns searched from a DB are displayed(S120). According to types of fingerprints, types of palm patterns, and types of footprints, multiple intelligence and characteristic of an individual are analyzed(S130~S160). According to analyzing result, the characteristic of the individual and multiple intelligence are generated as an examination result report(S170).

Description

Aptitude test method using footprint analysis and computer-readable recording medium recording the method {A QUALITY TEST METHOD OF DERMATOGLYPHIC PATTERNS ANALYSIS AND PROGRAM RECORDING MEDIUM}

The present invention relates to the aptitude test method, and in detail, the basic information received from the test and the image data of the torture taken by manual and automatic recognition devices as data data converted into computer software program statistics on the existing DB by the type of fingerprint In addition, the present invention relates to aptitude test method using footprint analysis that automatically compares and reads the research statistics, which are analyzed data, and shows the test results, and a computer-readable recording medium recording the method.

Conventional general aptitude tests are intelligence tests that show results as approximate figures about verbal understanding, reasoning, numeracy, and thinking intelligence. The results vary depending on the psychological environment in which a given problem must be solved for a certain period of time. There was this.

Fingerprints vary widely from person to person and are widely used to identify a person. However, since the 'analogue' characteristic of Down's syndrome patient, published by American anatomist Cummins in 1926, it can go beyond simple identification and predict fingerprints and intelligence. Theories and empirical cases are constantly being raised in academia. For example, until now fingerprints have been used in studies on infantile death syndrome (SIDS), atherosclerosis, congenital deafness, pulmonary tuberculosis, arthritis, and identical twins.

The types of fingerprints used in such a literary research are largely divided into archetypes, defrostings, and eruptings, which are classified into various sub-concepts according to their categories.

However, according to the literature, since the sentence pattern of the fingerprint is connected to the human brain through the nerve, it is possible to determine how much part of the brain is developed through the sentence pattern of the fingerprint. In addition, since the intelligence and disposition of the individual varies depending on which part of the brain has developed, eventually identifying and classifying the types of fingerprints is a key foundation for predicting the individual's intelligence and further developing the intelligence.

The aptitude test method using fingerprints and palmprints among these fingerprints is filed with the application No. 10-2009-0133785 (Name: Aptitude test method using a fingerprint analysis and a computer-readable recording medium recording the method) It is.

In the conventional method of the test of the fingerprinting, although it relates to a method of conducting the aptitude test by combining the fingerprint or the palm print or the fingerprint and the palm print, the aptitude test method through the overall blood test including the foot print is not presented.

 Since these skins have high stability and do not change after birth, they are characterized by individual differences. Therefore, for a more accurate examination, the aptitude test method according to the skins including the footprints is necessary.

Therefore, the present invention uses the aptitude test method and method using the footprint analysis, in which the innate personality and temperament and 8 multi-intelligence superiority tests are performed by using the fingerprint, the palmprint and the footprint of each person through a topsy test including a fingerprint, a palmprint and a footprint. It is an object of the present invention to provide a computer-readable recording medium for recording.

And the present invention is a test to determine the innate aptitude once a lifetime by taking a fingerprint, palm and footprint that does not change throughout life, the result is not affected by the psychological environment and the result does not change. In addition, through this test, each individual's inherent innate personality, propensity, temperament, and learning sensitivity are identified, and the theory of intelligence advocated by Professor Hauner Gardner (language intelligence, logical mathematics intelligence, interpersonal intelligence, self-interpretation intelligence, music intelligence) , Natural observation intelligence, spatial intelligence, physical exercise intelligence, and existential intelligence) to create an environment for future education, such as learning methods, career, and occupational aptitudes, taking into account individual characteristics based on strength, weakness, and superiority of each intelligence. It is another object to provide aptitude test methods using footprint analysis, which can provide expert analysis consultation for prediction, and computer-readable recording media recording the methods.

The footprint analysis aptitude test method using a DB that can analyze individual characteristics and multi-intelligence aptitude evaluation according to the sentence type to achieve this purpose, (a) the image of the fingerprint, palmprint and footprint through the scanner And displaying the sentence pattern by searching in the DB and displaying the sentence pattern, (b) analyzing the characteristics of the individual and analyzing the multiple intelligences according to the sentence pattern of each finger, the sentence sentence of the long sentence, and the sentence sentence of the foot sentence; and (c) can be achieved by generating a test result report of individual characteristics and multi-intelligence according to the analysis result.

In the step (b), the multi-intelligence analysis may be performed by analyzing the strength of each fingerprint, the addition score according to the multi-intelligence of each fingerprint sentence pattern, the addition value according to each palmprint, and the addition value according to the sentence pattern of each footprint. The sentence pattern of the palmprint analyzes the characteristics of the palmprint according to the palmprint having a loop form in the image of the palmprint, and the pattern of the footprint is classified into 24 types of fingerprints in the large fish part of the big toe, The character of the foot print is one of the 24 types of fingerprints on the toes or the classification of the latent talents according to the form of the loop formed between the toes and the toes. It is desirable to analyze.

In the step (b), the sum of the ridges of the hands is displayed as a ratio, and the cerebral taxonomy is analyzed. The cerebral taxonomy includes the frontal lobe, the bulbous lobe, the parietal lobe, and the occipital lobe, and the frontal lobe is the sum of the two-handed thumb ridges. Analyze the ratio, and the two lobes that perform the thinking function express the sum of the two-handed detection ridges in ratio, the lobe related to the haptic function express the sum of the two-handed stop ridges in the ratio, and the temporal lobe responsible for the auditory function is the two-handed ring finger The sum of the ridges is expressed as a ratio, and the occipital lobe of the visual function analyzes the sum of the two-handed ridges as a ratio, and the result of analyzing the cerebral classification ratio is to display the cerebral classification analyzed at the highest ratio in a congenital learning style. In this highest proportion, the innate learning style is described as "synchronous", in the case of the two lobes, "spherical", the lobe is "different", and the temporal lobe is "blue". Type, and in the case of the occipital lobe, "visual type", classify personality according to the sentence pattern of the left hand thumb, classify and display the potential personality according to the sentence pattern of the left hand index, and sentence pattern appearing in the left thumb According to the shape of the growth guide is characterized by.

Therefore, according to the aptitude test method using the footprint analysis of the present invention, by categorizing the types of fingerprints, palmprints and footprints, which are inherent attributes, foresee intelligence, talent, and disposition early, so as to discover and grow the potential ability of the individual. It has the effect of supporting it.

In addition, it is possible not only to actively develop superior intelligence, how to reinforce the weak part, but also to upgrade the learning ability by applying a learning style suitable for oneself from childhood.

In addition, it can be used as a medium to accurately guide the conflicting career direction, and can be used as a foundation by identifying potentials that are not known to oneself.

Not only can you grasp the lack of personality or ability in advance, but you can also learn in the general style if you do not test, but you can plan and execute learning activities that meet your learning style. There is an effect that can raise the effect.

1 is a flow chart for explaining the aptitude test method using footprint analysis according to an embodiment of the present invention;
2 is a view for explaining a processing screen after fingerprint scanning;
3 is a diagram illustrating an FTP value set for each fingerprint sentence type of each finger;
4 is an innate learning style example table according to the cerebral classification ratio,
5 is a diagram illustrating a growth guide for each sentence type;
6 is a diagram illustrating a personality classification table by sentence type;
7 is a diagram illustrating an addition value according to multiple intelligences of each fingerprint sentence pattern;
FIG. 8 is a diagram illustrating interpersonal intelligence addition in fingerprint and palmprint multiple intelligence.
FIG. 9 is a diagram illustrating self-interpretation intelligence in fingerprint and palmprint multi-intelligence.
FIG. 10 illustrates linguistic intelligence addition values in sentence- and sentence-length multiple intelligences; FIG.
FIG. 11 is a diagram illustrating a music intelligence addition value in sentence- and sentence-length multiple intelligences; FIG.
12 is a diagram illustrating a spatial intelligence addition value in the multi-intelligence of fingerprint and palmprint by sentence type;
FIG. 13 is a diagram illustrating a logic mathematical intelligence addition in fingerprint and palmprint sentence-wise multi-intelligence; FIG.
14 is a diagram exemplifying physical motion intelligence addition values in sentence- and sentence-length multiple intelligences;
15 is a diagram illustrating a natural exploration intelligence addition value in a multi-intelligence of a fingerprint and a palmprint.
And,
Fig. 16 is a diagram illustrating the sentence pattern classification and the addition value of the footprint.

The terms or words used in this specification and claims are not to be construed as limiting in their usual or dictionary meanings, and the inventors may properly define the concept of terms in order to best explain their invention in the best way possible. It should be interpreted as meaning and concept corresponding to the technical idea of the present invention.

Throughout the specification, when a part is said to "include" a certain component, it means that it can further include other components, except to exclude other components unless specifically stated otherwise. In addition, the terms “… unit”, “… unit”, “module”, etc. described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. have.

Definitions of terms used below are as follows.

"Skin" is a pattern of skin that includes fingerprints (finger prints), palm prints (palms), and foot prints (foot prints). Anatomical analysis shows that blood is classified into vertebral (curved spine) and bulge (large corrugation), and it appears to be in parallel with a long curved curve.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a flow chart for explaining the aptitude test method using a footprint analysis according to an embodiment of the present invention, a brief process of the present invention is as follows.

Fingerprints are taken and read / analyzed by computer multi-intelligence analysis program to prepare test report based on multi-priority priority test and personality test.

First, when the subject is asked (S110), the fingerprint, palm and footprints of the subject are collected (S120).

The fingerprint collection method is a method of collecting a manual through a rotary professional scanner or. First, the fingerprint collection through the rotary professional scanner can be made as follows.

Fingerprints are taken in order of 10 fingers (left thumb, left finger, left finger, left thumb, left finger ring, right thumb, right finger, right finger, right finger, and right hand) through the rotating fingerprint recognition device. The computer's automatic reading system enters the configured recording medium.

The palms or soles are then placed on the scanner, and the palms or soles are scanned and input into the recording medium configured by the computer automatic reading system.

In the case of manual sampling, the fingerprint of the ten finger is colored with a black pen, the fingerprint of the ten finger recorded on paper is taken, and then scanned through a scanner that can be transferred to a computer. After the system enters the configured recording media, palms or soles are painted on palms or soles through palm print rollers, palms and soles are collected on paper, then scanned through a scanner that can be transferred to a computer. The computer's automatic reading system transmits the data to the configured recording medium.

When the collection of the fingerprint, palm and foot prints is completed in step S120, the collected fingerprint, palm and foot prints are read and analyzed (S130).

First, the scanned fingerprints, palmprints and forms of the fingerprint are automatically classified according to the results of the previously input fingerprints and palmprint algorithms (rotational automatic analysis) (S131).

That is, when a fingerprint and a palm print are input, the scanned image is displayed on the screen and the DB is sorted by the relevant fingerprint and palm print type so that they can be displayed immediately.

In the embodiment of the present invention, it is described that fingerprints and palmprints are classified into 24 types and stored. This classification is classified for convenience of description and is not limited to the present embodiment, of course.

Referring to the drawing illustrating the shape of each fingerprint of FIG. 2, the shape may be classified and automatically displayed for each fingerprint as illustrated.

Specifically, when the subject's left thumb fingerprint is scanned, the scanned fingerprint is displayed at the center and the automatically classified fingerprint form (two head print) is displayed at the bottom thereof. In the same manner, marks for the detection of the external hand, middle finger, ring finger, the holding and the right hand are marked.

In the same way, it is necessary to mark a long sentence and mark the sentence form.

When the shape analysis of the fingerprint is completed in step S131, TFRC reading is performed (S132).

TFRC (Total Finger Ridge Count) reading is the sum of fingerprint index (fingerprint ridge), which means that the amount of cerebral nerve is high and low, and it is the potential for innate intelligence learning.

The average person's TFRC is approximately 60-180 and does not indicate whether the quantity is high or low. Human cerebral neurons require a full 16 years of growth.

Every stage of growth lays the foundation for learning, but the key to being smart is the stimulation and development of the acquired stage of growth. When the TFRC is high, the results may differ depending on the interest that interests you.When the TFRC is low, the study environment, that is, the systematic teaching method, is very important. We need an environment where we can compete.

Next, ATD (AXIAL TRIRADIUST) sensitivity is read (S133).

The ATD angle refers to the angle between three triangular points in the palm of a person's palm, and the learning sensitivity of each person varies according to the angle. This angle is called the learning angle and is called the ATD angle.

This is the rate of response that occurs when the learning stimulus is made. The lower the angle is, based on the average 42, the higher the sensitivity of learning.

The ATD angle thus read is used as follows.

1) Analyze comprehension and sensitivity according to the number of ridges of the right hand thumb and the angle of ATD of the palm.

If the number of right ridges is 10 or less, +2 at the ATD angle. If the ridge number is 20 or more, -2 at the ATD angle.

2) The angle of ATD becomes narrower as it grows into adulthood. Therefore, if the infant is younger, the number should be lower than the existing one.

Under 1 year old:-5 from basic value

3 years old and younger: From base level-3 cuts

7 years old and younger: On base level-2 cuts

10 years old and below: from base level-1 cut

3) The ATD angle is -3 from the numerical value when the angle is taken with the fingers fully open.

Next, the cerebral classification ratio is read (S134).

The frontal lobe, which includes mental and motor domains, expresses the sum of the two-handed thumb ridges as a percentage.

The two lobes that perform the thinking function express the sum of the two-handed detection ridges as ratios, the lobe related to haptic function shows the sum of the two-handed stop ridges as ratios, and the temporal lobe responsible for the auditory function is the sum of the two-handed ring finger ridges as a ratio. The occipital lobe of the visual function shows the sum of the two-handed ridges as a ratio.

In addition, the right brain / left brain ratio is read (S135).

The left brain should be expressed as the sum of the total number of right ridges and the right brain should be expressed as the sum of the total left ridges.

And it analyzes the cranial nerve value (S136).

NGF (Nerve growth factor) is calculated as "FTP * fusion rate ratio (RIX)".

FTP is assigned a numerical value set by the fingerprint sentence type of each finger, Figure 3 is shown for the FTP.

Next, the loan rate ratio (RIX) is calculated.

Both hyungmun series shall be marked as "small value / large value", and the hyungmun series shall be "one value / (set value)", but the set value shall be 15, 14, 13 in the order of thumb, index finger, middle finger, ring finger, and base. Assigns 12, 11.

Two types of doors refer to helix, semi-finished work, semi-finished, semi-announced tent, annular, annular spiral, etc., and deformed doors refer to semi-finished work, semi-finished, semi-annual tent, semi-armored type, regular tent, etc. It means tent type, arc type, regular type.

By multiplying the calculated FTP and the RIX, the NGF is calculated.

Then, the palmprint is analyzed (S140).

The method of analyzing the sentence pattern of the long sentence is as follows.

First, find out the shape of the fingerprint on the palm, and (1) mark the fingerprint flowing in the direction of the wrist with the loop shape between the body and the ring finger as openness.

(2) Fingerprints in the form of loops between the body and the ring finger in the direction of the thumb are called fantasy.

(3) Fingerprints in the form of loops on the ring finger and middle finger are directed to the wrist.

(4) Fingerprints in the form of loops between the middle finger and the index finger are directed to the wrist.

(5) Fingerprints in a loop form between the index finger and thumb are called aerobic.

(6) The fingerprint is called musicality when there are loop markers in the middle of the rental system under the thumb.

(7) The fingerprint is referred to as natural when there is a marker of a looped fingerprint in the part of the sour system located in the palm of the lower part of the little finger.

(8) The fingerprint is referred to as memory when there is a marker on the center of the palm of the hand that is rotated, annular or looped.

(9) When the marker of the loop-shaped fingerprint between the palm and wrist points toward the wrist, this fingerprint is called a vibrating ring.

All these data are stored in the DB, and when the collection of the long text is completed, the long text can be read and the related data marked.

Each sentence of the above sentence is calculated by adding an additional value for each sentence when analyzing the multi-intelligence.

Then, the footprint is analyzed (S150).

The method of analyzing the sentence pattern of the foot print is as follows.

First, (1) Genetic factor in the form of fingerprint in the big fish part of the big toe exists in various forms of sentence. The fingerprint is classified into 24 types and the data stored in the DB is loaded.

Data for these 24 classifications is shown in FIG.

FIG. 16 is a diagram illustrating a sentence pattern classification and an additive value according to a footprint. The fingerprint is classified into 24 sentence patterns in the same way as a fingerprint, and stored in a DB and used for multi-intelligence analysis.

(2) It classifies 24 types of footprint existing in the toe and loads the data stored in DB.

(3) Also, according to the form of the loop formed between the toes and the toes, not by the type of the foot gate, it is possible to find the temperament of potential talent and classify it into 9 kinds to load the data stored in the DB.

The character shown in the footprint is a latent personality. If the fingerprint of the finger has a lot of loops, the footprint of the toe depends on the pattern of the finger of each person. The strength of the substrate is showing a difference.

All these data are stored in the DB, and when the collection of the long text is completed, the long text can be read and the related data marked.

Each sentence of the above sentence is calculated by adding an additional value for each sentence when analyzing the multi-intelligence.

In the present invention, the fingerprint analysis is mainly performed in step S130, followed by the analysis of the palm print and the foot print. However, the order of the analysis may be changed at random.

After the analysis of the palm and foot prints is completed in steps S140 and S150, multi-intelligence is analyzed next (S160).

Multiple intelligences are classified into eight intelligences and classified into interpersonal intelligence, self-understanding, language intelligence, music intelligence, spatial intelligence, logical math intelligence, physical motor intelligence and natural exploration intelligence.

This multi-intelligence is calculated by adding the strength score according to the sentence pattern of the finger, the addition score according to the multi-intelligence of each fingerprint, the addition score of the palmprint for each multi-intelligence, and the addition score of the foot print. do.

In FIG. 7, the strength according to the sentence pattern of the fingerprint is shown. In FIG. 8 to FIG. 15, the addition value of the fingerprint and the palmprint according to the multi-intelligence is illustrated. In FIG. 16, the sentence pattern classification and the addition value of the footprint are illustrated. These additions are stored in the DB.

Interpersonal intelligence is based on left hand thumb, self-understanding function is right hand thumb, language intelligence is right hand ring finger, music intelligence is left hand ring finger, spatial intelligence is left hand finger finger, logical intelligence is right hand finger finger, physical exercise Intelligence is calculated based on left hand stop and natural search intelligence based on left hand, right hand, left hand index, and left hand ring.

1) When reading the multi-intelligence, add the "additional score according to the multi-intelligence" of the fingerprint to the "strength according to the sentence type" of the fingerprint for each intelligence, add the "additional score of the palmprint", and add the "additional score of the foot print" Can be obtained by

Specifically, the score obtained by adding the "strength according to sentence type" of the fingerprint for each intelligence to the "addition score according to multiple intelligences" of the fingerprint, the addition score for each sentence sentence of the long sentence, and the addition score for each sentence type of the sentence sentence are multiplied. Read the intelligence score.

Preferably, the palmprint ratio is set to the highest, followed by the fingerprint ratio and the footprint ratio to the lowest.

For example, take 35% of the scores of the fingerprints of the corresponding intelligent fingerprints and the "additional score according to the multiple intelligences" of the fingerprints. Take% to read the multi-intelligence score.

This read rate is a ratio set to derive the objective data based on the analysis results of each fingerprint, palm and foot prints of the DB when the above-described DB construction.

The reading rate of the fingerprint, palm and foot prints is preferably read automatically from the DB when the sentence type is determined to convert the score.

2) Next, find all the values for multi-intelligence as above and add them all together.

Specifically, the numerical values are calculated and added to interpersonal intelligence, self-understanding intelligence, language intelligence, music intelligence, spatial intelligence, logical mathematical intelligence, physical motor intelligence, and natural exploration intelligence as described above.

3) When the sum of the numbers for each multiple intelligence is found, calculate the average of the values.

4) Minus the mean value obtained in step 3) from the corresponding intelligence.

5) If the numbers for each intelligence are calculated in step 4), the calculated score may be marked on the result table, but it may be displayed as credits (A ++, A +, B, etc.) for easy identification.

For example, when calculating interpersonal intelligence, when setting the left hand's sentence as "spiral", the long sentence as "openness" and the foot print as "semi-operation", the "strength according to sentence" "20.5" (see Fig. 7), the helical fingerprint addition value is "9.8" in Fig. 8, and the addition value according to the palmprint is "8.5" (see Fig. 8) when open to the spiral, and the addition value according to the footprint is half year. "9.4" (see Fig. 16) when working.

Therefore, the addition score for each fingerprint in interpersonal intelligence is "30.3 (20.5 + 9.8)", the addition value of the palm print is "8.5", and the addition value of the foot print is "9.4". The multiple intelligence scores of relational intelligence can be obtained as follows.

"Multiple Intelligence Score = 30.3 * 0.35 + 8.5 * 0.45 + 9.4 * 0.2 = 16.31"

As a result, the multi-intelligence score of interpersonal intelligence through the interrogation analysis becomes "16.31".

9 to 15 are self-intelligible intelligence, language intelligence, music intelligence, spatial intelligence, logical mathematical intelligence, physical motor intelligence, and physical motor intelligence in fingerprint and palmprint multiple intelligence. It is a figure which illustrates the natural exploration intelligence addition value.

With reference to this, it calculates in the same way according to the sentence pattern of the finger of the corresponding multi-intelligence and the sentence pattern of the palmprint.

That is, self-intelligence intelligence value (see FIG. 9), language intelligence (see FIG. 10), music intelligence (see FIG. 11), spatial intelligence (see FIG. 12), logical mathematical intelligence (see FIG. 13), physical motor intelligence (FIG. 14) and the natural search intelligence value (see FIG. 15).

For example, self-intelligence intelligence, language intelligence, music intelligence, spatial intelligence, logical mathematics intelligence, physical motor intelligence, and natural exploration intelligence values of "15.51", "20.72", "17.64", "18.95", "17.54", If you say "20.00" and "21.07", you can display these values as they are, as well as numbers relative to the mean. In other words, the sum of these eight intelligences adds up to 147.74 (16.31 + 15.51 + 20.72 + 17.64 + 18.95 + 17.54 + 20.00 + 21.07), and their average is 18.47 (147.74 / 8).

Therefore, the negative value of all intelligences in the interpersonal intelligence is as follows.

"Interpersonal Intelligence-Average" = "16.31-18.47" = "-2.16"

"Self-interpretation-average-value" = "15.51-18.47" = "-2.96"

In this way, scores for all multi-intelligence can be obtained.

Likewise, these scores can be expressed in terms of relative credits.

When the multi-intelligence analysis is completed in step S160, a result report is prepared (S147).

The innate learning style is indicated by the ratio of cerebral classification, the personality corresponding to the sentence pattern of the left thumb and the left index finger is classified into the main character and the latent personality. In addition to deriving innate talents, students can present learning directions using scorecards for interpersonal intelligence, self-understanding intelligence, language intelligence, music intelligence, spatial intelligence, logical mathematical intelligence, physical motor intelligence, and natural exploration intelligence. Can be.

Specifically, when displaying the innate learning style, it is necessary to display the data having the highest value from the data of the cerebral classification ratio.

In this case, as shown in FIG. 4, the highest frontal lobe is expressed as "synchronous", and in the case of the double lobe, "sphere", the frontal lobe is "haptic", and the temporal lobe is "aural" and In the case of the occipital lobe, it is written as "visual."

2) In the case of classifying personality, the personality corresponding to the sentence pattern of the left thumb is marked as the main personality.

Therefore, when the sentence pattern of the left hand thumb is determined, the personality according to the sentence pattern of the left hand thumb is displayed as the main personality, as shown in the personality classification table of each sentence type of FIG. 6.

In addition, in the classification of the latent personality in the personality classification, the character according to the sentence pattern of the left hand index can be indicated.

At this time, if the sentence pattern of the left hand index is judged to be the same as the main personality, the latent personality is indicated in the order of the right hand index and the right hand thumb, and the rest is indicated in the order of strength.

That is, different sentence patterns of the two-finger index finger or the lower finger are expressed as follows according to the position of the finger.

The order of strength is as follows.

Left Hand Index <Right Hand Index <Right Hand Thumb <Left Hand Stop <Left Hand Unknown <Left Hand Holding <Right Hand Stop <Right Hand Unknown <Right Hand Holding.

Hereinafter, the growth guide will be described.

It is classified according to the characteristics of the 24 sentence patterns shown in the fingerprint of the left hand thumb, and the growth guide suitable for the substrate is stored in the database.

The growth guide for each sentence type stored in the DB classified into 24 types according to the shape of the sentence pattern shown in the left hand thumb is shown in FIG. 5.

Therefore, the growth guide can be expressed by outputting relevant data according to the scanned sentence pattern of the scanned left thumb.

You can also display the analysis results for each multi-intelligence.

The method (steps S130 to S170) according to the present invention can be embodied as computer readable codes on a computer readable recording medium. The computer-readable recording medium is a recording device that stores data that can be read by a computer system, and includes a ROM, a RAM, a cache, a hard disk, an optical disk, a floppy disk, and a magnetic tape. In addition, the carrier wave may be implemented in the form of a carrier wave, for example, transmission through the Internet. The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.

The above statistical data are classified according to the characteristics of the ten fingers, palm of both palms (palm of palm) and type of foot, and combined with Dr. Howard Gardner's theory of multi-intelligence. , Analysis of stress, sensitivity to learning, career aptitude, and direction of learning can be provided to the examinee as a comprehensive report.

While the invention has been described in detail with respect to the described embodiments, it will be apparent to those skilled in the art that various modifications and variations are possible within the spirit of the invention, and such modifications and variations belong to the appended claims.

Claims (6)

In the footprint analysis aptitude test method using DB that can analyze individual characteristics and multi-intelligence aptitude evaluation according to sentence type of sentence,
(a) displaying images of fingerprints, palm prints, and foot prints on a screen through a scanner, and simultaneously searching the DB for displaying the sentence patterns;
(b) analyzing the characteristics of the individual and analyzing the multi-intelligence according to the sentence pattern of each finger, the sentence form of the palmprint and the sentence form of the foot print; And
(c) generating a test result report of individual characteristics and multi-intelligence according to the analysis result;
Aptitude test using footprint analysis consisting of.
The method of claim 1,
In the step (b), analyzing the multiple intelligences
An aptitude test method using footprint analysis, characterized in that it is analyzed by the strength according to each fingerprint, the addition score according to the multi-intelligence of each fingerprint sentence pattern, the addition value according to each palmprint, and the addition value according to the sentence pattern of each footprint.
The method of claim 2,
In step (b)
The sentence pattern of the palmprint analyzes the characteristics of the palmprint according to the palmprint having a loop form in the image of the palmprint, and the pattern of the footprint is classified into 24 types of fingerprints in the large fish part of the big toe. Or to classify the fingerprints present on the toes into 24 or the nine categories of potential talents based on the form of the loop formed between the toes and the toes. Aptitude test method using footprint analysis, characterized in that for analyzing the characteristics.
The method of claim 1,
Step (b) is
Analyze the cerebral taxonomy by expressing the sum of ridges of the hands as a ratio, and classify the cerebral taxonomy including the frontal lobe, bulbous, parietal, temporal, and occipital lobes. The two lobes that perform the thinking function express the sum of the two-handed detection ridges as ratios, the lobe related to haptic function shows the sum of the two-handed stop ridges as ratios, and the temporal lobe responsible for the auditory function is the sum of the two-handed ring finger ridges as a ratio. The apical test method using the footprint analysis, characterized in that the visual function of the occipital lobe is analyzed by the ratio of the sum of the two-handed ridges.
The method of claim 4, wherein
Step (c) is
As a result of analyzing the cerebral classification ratio, the cerebral classification analyzed at the highest ratio is displayed as the innate learning style, but in the case of the highest frontal lobe, the innate learning style is expressed as "synchronous", and in the case of the two lobe, Spherical shape ", the frontal lobe is" feeling ", the temporal lobe is" aural "and the occipital lobe is" visual "and the personality is classified according to the pattern of the left thumb and the left index finger is detected. The aptitude test method using categorical analysis characterized in that the potential character is classified and displayed according to the sentence pattern, and the growth guide is displayed according to the shape of the sentence pattern shown in the left hand thumb.
A computer-readable recording medium having recorded thereon a computer program for executing any one of the aptitude test methods using the fingerprint analysis of claims 1 to 5.

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