WO2020138720A1

WO2020138720A1 - System and method for providing and analyzing skin-related personalized health functional food information

Info

Publication number: WO2020138720A1
Application number: PCT/KR2019/015808
Authority: WO
Inventors: 이수일
Original assignee: 주식회사 로그싱크
Priority date: 2018-12-27
Filing date: 2019-11-19
Publication date: 2020-07-02
Also published as: CN111630608A; KR102063119B1

Abstract

The present invention relates to a system and a method for providing and analyzing personalized health functional food information and, more specifically, is to objectively and scientifically present health functional food suitable for an individual's skin by performing a comparative analysis on skin genetic test result data capable of scientifically identifying individual's skin conditions, and data obtained by phenomenal self-determination for the skin and through a skin measuring apparatus.

Description

Personalized health functional food information analysis system and method related to skin

The present invention relates to an analysis system and method for providing personalized health functional food information related to skin, and more specifically, a skin genetic test result data and a skin self-determination and skin measuring device capable of scientifically grasping an individual's skin condition. It is intended to objectively and scientifically present personalized health functional food by comparing and analyzing the data through.

Human skin has different skin conditions for each individual. In particular, even at the same age and skin type, the skin condition may vary depending on the internal and external environment of each individual. As scientific civilization develops, the number of cases leading to a serious condition in which skin function is deteriorated and even skin trouble occurs due to severe effects on the skin due to exposure to various contaminated environments, exposure to ultraviolet rays due to the destruction of the ozone layer, and various stresses .

With the recent development of biotechnology, the function of cosmetics is gradually progressing to the step of applying proteins existing in the body or including naturally-derived active ingredients that affect skin health, and in recent years, it has emerged as a new concept of cosmetics that health foods eat. As a result, various products such as eating collagen containing marine collagen affecting skin elasticity are in circulation. Such changes in the environment of cosmetics and changes in consumer needs have led to scientific and objective consumption considering individual characteristics.

However, as the concept of eating cosmetics is formed in recent years, it is difficult to provide products considering individual characteristics.

In addition, at present, it is difficult to obtain full confidence in the skin condition information since the recognition of the skin condition for each user is a degree of understanding the skin condition of oneself through a simple skin examination and a simple skin test.

As a method for measuring a conventional skin condition and providing customized cosmetics, as shown in Patent No. 10-0371861, a remote using a skin image acquisition device and a skin condition analysis server connected through a data communication network As a result, a new skin condition analysis system has been introduced that can acquire skin images and analyze skin conditions and select suitable cosmetics according to the results.

The previous technology is not based on the results of genetic tests capable of scientifically grasping the individual's skin condition, so it is difficult to provide scientific cosmetics based on accurate data according to the individual's skin condition, and the skin obtained through skin image acquisition Because it is a simple analysis comparing information and standard skin information data, it is not possible to analyze the subdivided skin condition caused by exposure to various contaminated environments, exposure to ultraviolet rays due to the destruction of the ozone layer, and various stresses. It is pointed out that an analysis risk is caused by an error in information data, so that a reliable cosmetic product cannot be provided.

According to the registered patent No. 10-0874825'Method and system for providing cosmetic information using skin genetic information' created to solve this, it analyzes the individual's skin condition through objective and scientific skin genetic testing and based on these results In order to improve the condition, the level of expression of specific genes related to skin moisturization, elasticity, wrinkles, and whitening of each user is precisely qualitatively quantified and quantified, and then tailored with functional ingredients that can improve the skin condition more effectively based on these results. Methods of providing cosmetics have been introduced.

The prior art is a technology for analyzing the gene expression level of the test subject and determining the grade of the test subject's current skin condition by comparing with the established standard database, and then providing cosmetic products with functional ingredients and contents, thereby providing accurate scientific data. It may be by analysis, but this is not a comparative analysis of the current individual skin condition and genetic analysis data, but rather the analysis of the gene expression level of the test subject to determine the grade of the current skin condition of the test subject. It is impossible to provide reliable customized cosmetics because it is not possible to check the individual's current skin condition at the present time because the subdivided current skin condition point of view caused by exposure to the environment, exposure to ultraviolet rays due to the destruction of the ozone layer, and various stresses is different. In addition, the individual survey data presented in the prior art is merely a simple comparison of the individual opinions possessed by the genetic information data, and thus it is difficult to provide detailed scientific and reliable mask packs because it is difficult to analyze the current skin condition of each individual. There is a problem that it is not possible to recommend personalized health functional foods related to skin due to skin troubles because there is no method to provide detailed analysis information regarding the problems and skin.

Looking at the recently developed system, there is a program that analyzes the current condition of the skin to measure the condition of the skin, grasps the condition of wrinkles, and displays the physical condition such as changes in skin color or elasticity by simple digitization. The reality is that it is difficult to evaluate objectively and precisely because there is an error in evaluating changes in skin, and it is difficult to provide a customized health functional food suitable for resolving skin problems caused by internal problems.

Therefore, by providing scientific and objective data to provide personalized health functional foods that alleviate skin symptoms by recommending health functional foods according to skin symptoms, providing personalized health functional foods that can increase consumer satisfaction and reliability. This is required.

The present invention improves the skin condition of the individual. The purpose is to analyze the results of acquired skin vitality information in a scientific way, to maintain and improve skin condition and physical health, and to propose a judgment code for recommending personalized health functional foods to meet the needs of consumers only for me. .

Specifically, the present invention provides a judgment code for providing a customized health functional food suitable for the current skin symptoms of a test subject by comparing a skin genetic test result that can accurately grasp an individual's skin condition with a currently determined skin condition. As

The present invention compares and analyzes the subdivided items of each percentage data of the subject's gene and the percentage data of the current skin condition by the skin measurement terminal and the percentage data of the self-determination item to determine the 2-digit English judgment code of the current subject's skin condition. Next, we create a 3-digit English judgment code that combines the 1-digit English judgment code to help the skin metabolism with the determined code, and recommend a customized health functional food that can solve skin problems caused by the generated 3-digit English judgment code. It is characterized by being able to.

The present invention has the effect of increasing the satisfaction and reliability of the consumer by providing more scientific and objective data on the skin condition of the consumer, thereby recommending a health functional food suitable for an individual who can solve skin problems.

The present invention is to determine the subdivided judgment code according to the skin symptoms by comparing each subdivided item with data that accurately and qualitatively quantifies and expresses the expression level of the gene related to an individual's skin and each item of self-determination questionnaire. There is an effect that can recommend a health functional food suitable for.

1 is an overall system circuit block diagram according to the present invention.

Figure 1a is a skin, vitamins, obesity and hair loss genes according to the present invention 28 gene item classification table.

1B is a classification table of 33 skin and metabolism self-assessment list according to the present invention.

1C is a genetic analysis skin judgment reference table according to the present invention.

Figure 1d is a skin symptoms paper judgment criteria table according to the present invention.

1E is a diagram showing an example and a decision algorithm of a 2-digit decision code and a 3-digit decision code according to the present invention.

1F is a view for explaining the provision of health functional food through correlation between toxin detoxification, metabolic acceleration, and damage recovery regions, corresponding genetic items, and self-determination items according to the present invention.

2 is a flowchart illustrating a method according to the present invention.

3 is a view showing the skin measurement algorithm of the IoT skin measurement terminal according to the present invention.

The present invention constitutes a gene analysis database 10 that processes percentage data for 28 gene items related to skin, vitamins, obesity, and hair loss genes received from a gene analysis company as shown in FIG. 1A.

In addition, the present invention checks each of the 33 skin and metabolic self-assessment self-assessment list questionnaire items shown in FIG. 1B on the user PC 100 and the smartphone 200, and the percentage of self-assessment converted into percentage by measuring the Likert scale. The self-assessment information input unit 300 configured to input data through the Internet (l) or Wi-Fi (W1) is configured.

In the above, the genetic test items are skin-related genes as shown in FIG. 1A, skin genetic marker A, skin genetic marker B, skin genetic marker C, skin genetic marker D, skin genetic marker E, skin genetic marker F, skin Genetic Marker G, Skin Genetic Marker H, Skin Genetic Marker I, Skin Genetic Marker J, Skin Genetic Marker K, Skin Genetic Marker L, Skin Genetic Marker M 13 skin genotype categories and nutrients and metabolism that correlate with skin As a genetic item, vitamin genetic marker A, vitamin genetic marker B, vitamin genetic marker C, vitamin genetic marker D, vitamin genetic marker E, vitamin genetic marker F, vitamin genetic marker G, vitamin genetic marker H, vitamin genetic marker I, Vitamin genetic marker J 10 vitamin gene categories, obesity genetic marker A, obese genetic marker B, obese genetic marker C, obese genetic marker D, and 4 obese gene categories, and a total of 28 gene items consisting of 1 hair loss gene category to be.

13 skin-related genes in the above 28 gene categories, as shown in FIG. 1C (genetic analysis skin judgment criteria), are classified into five major skin conditions: dry, sensitive, oily, pigment, It is divided into wrinkles, and the dryness is subdivided into skin genetic marker A, skin genetic marker B, and skin genetic marker C, and for oiliness, skin genetic marker I, skin genetic marker J, skin genetic It is subdivided into Marker K and Skin Genetic Marker L items, and other sensitive, pigment, and wrinkles are also subdivided into corresponding items marked with "0" in the relevant column of FIG. Enhance the accuracy of individual skin condition measurements.

In addition, it is designed to extract the percentage data for each item corresponding to the recommendation of health functional foods by dividing the skin condition into the major classification skin condition and the subdivided skin condition from the self-assessment list of 33 skin and metabolic questions presented in FIG. To explain, the main categories of human nutrients and metabolism applied to health functional foods (damage recovery: code name R, toxin detoxification: code name D, metabolism promotion: code name: M). Metabolism Interpretation) 1, 2, 3, 4, 5, Toxin Detoxification:

Question

1, 2, 3, 4, 5, Metabolism Promotion: 1, 2, 3, 4, 5 For each of the major categories, one or more items for questioning are set. In other words, dryness (lack of moisture: lack of

moisture

1, 2, lack of oil: lack of oil 1, 2), oily (excessive sebum: excess sebum 1, purulent acne: purulent acne 1, 2), sensitive (sensitivity:

Hypersensitivity

1, 2, hypersensitivity: hypersensitivity items 1 and 2), pigment (spotiness:

spotiness item

1, 2, pigmentation:

pigmentation item

1, 2, wrinkles (initial fine line: initial

fine line items

1, 2, progress) Wrinkles: presented in subdivisions as progress wrinkles questions 1 and 2), and may be a basis for precisely analyzing an individual's skin condition through the questionnaire items according to the subdivision, and will be described later in FIG. In addition to cosmetic recommendations, recommend mask packs (Metabolism questionnaire items including damage recovery, metabolism promotion, and toxin detoxification corresponding to dry, oily, sensitive, pigment, and wrinkles) and metabolic questionnaire items for recommending health functional food can be presented. Likewise, a correlation between skin-related detailed items according to the present invention and toxin detoxification, metabolic acceleration, and damage recovery regions, which are functions of human metabolism, and corresponding genetic items and self-determination items may be made.

In the above, damage recovery:

Question

1, 2, 3, 4, 5, respectively, as shown in, for example, 1f,'currently taking nutritional supplements','smoking whether','meat intake','instant food preference' Items can be presented and detoxification:

questions

1, 2, 3, 4, and 5 are'sleep pattern','vitality','feces habit','alcohol intake','skin trouble', and metabolism promotion: Detailed body metabolism questions such as'moisture intake','daily calorie intake','current weight retention time','weekly exercise amount','without eating for a week' can be presented.

In the present invention, in order to provide satisfactory and reliable health functional food according to the skin condition of an individual, as shown in FIG. 1D (Skin Symptom Interpretation Criteria Table), the skin condition is classified into five major skin conditions, dry and sensitive. , Oily (Oily), Pigment (Pigment), Wrinkle (Wrinkle), but the five major classification of the skin condition, each of 10 subdivided skin condition dry (lack of moisture / lack of oil), sensitive (sensitivity / hypersensitivity), oily (Sebum hyperplasia/purulent acne), pigment (spot pigment/pigmentation type), wrinkles (initial fine wrinkles/progressive wrinkles), data storage unit 410B in cloud gene analysis server 410 In the stored processing, for each of the ten subdivided items, as described later, it is possible to enable each judgment code to be generated by the judgment analysis processing unit 410A, and the generated subdivided judgment code is a customized health function In order to select food easily and conveniently, the self-determination as shown in FIG. 1D provides a skin symptom questionnaire for checking by presenting one or more questions per 10 subdivision items. For example, in the case of a water shortage type, it is suggested to be divided into a lack of moisture item 1 and a lack of moisture item 2 to be checked.

That is, the method of generating the subdivided judgment code is divided into 10 skin classification items, such as Dry Moisture, Dry Oily, Sensitive Capillary, Sensitive Allergy, and Oily excessive Sebum. ), Purulent Acne, Pigment Freckles, Pigmentation Type, Wrinkle fine Line, and 10 Progressive Wrinkles (DM, DO, SC, SA, OS, OA, PF, PD, WL, WP) and three human metabolism self-determination items: detox, metabolism, and recovery. Combining 1-digit English (D, M, R) into PWI codes for Personalized Wellness Solution, the smallest value from the average value of each skin type item and human metabolism item obtained by the judgment analysis processing unit 410A Eggplant can calculate the percentage data value using a 3-digit English judgment code to provide a health functional food corresponding to the judgment code as a solution.

Specifically, skin types are primarily classified into dry, sensitive, oily, pigmented, and wrinkled skin types I (D, S, O, P, W), and each of these items is subdivided into subdivided skin types II (M, It is classified as O, C, A, S, A, F, D, L, P). It is the first letter in English of the major skin type Ⅰ and the subdivided skin type Ⅱ. The 2-digit judgment code for skin (DM, DO, SC, SA) , OS, OA, PF, PD, WL, WP). This 2-digit code is the first 2 digits of the 3-digit code called Personalized Wellness Index (PWI).

In addition, the first letter of the English name (D, M, R) in the toxin detoxification, metabolism promotion, and damage recovery areas, which is a function of metabolism of the human body, which also correlates to the skin condition, is generated and linked to the skin and body metabolism functions. Combined with 2-digit skin judgment code (DM, DO, SC, SA, OS, OA, PF, PD, WL, WP), 3-digit personalized wellness index (PWI) 30 items judgment code (e.g. DMR, DMD, etc.).

The above-described two-digit judgment code and three-digit judgment code are presented by way of example in FIG. 1E.

And, Figure 1f is a diagram for explaining the correlation between the human body metabolic functions toxin detoxification (D), metabolic acceleration (M), damage recovery (R) region and the corresponding genetic items and self-determination items, specifically described later In order to recommend health functional food that is suitable for the determined judgment code, health functional food corresponding to each item of metabolism that can solve skin troubles is presented as an example, and in the case of personal skin requiring metabolic acceleration, body fat-decomposing agent Provides beverages or foods containing weight control agents and dietary fiber, and provides skin products or beverages containing probiotics, intestinal cleansers and amino acid complexes for individuals who need toxin detoxification In the case of phosphorus, it is possible to provide a beverage or food containing collagen, antioxidants and hormones.

In addition, the present invention is the genetic analysis data in the cloud server 400 for storing the percentage data of the genes in the genetic analysis database 10 and the self-determination percentage data through the self-determination information input unit 300, the input data It consists of a judgment analysis processing unit 410A and data storage unit 410B for comparative analysis with reference data.

In addition, the present invention is a cloud server 400 for relaying the moisture, oil data and pigment, pore, and wrinkle image data by the IoT skin measurement terminal 500 via Wi-Fi (W2) to the skin measurement data input unit 600 Inner measurement data repeater 420; can be configured to include.

This is to scientifically approach the skin characteristics of the individual to determine the skin condition more precisely, and the inherent intrinsic factor is to identify the characteristics of the skin and the physical individual through the genetic test items of FIG. 1A, age, External factors such as climate and seasons are identified by a personally recognizable questionnaire, as shown in FIG. 1B, and the part that the individual cannot recognise is determined by a skin imaging camera 530 constituting the IoT skin measurement terminal 500. In order to be able to grasp the surface of the skin, in the present invention, moisture, oil, and pigment, pore, and wrinkle image data that cannot be recognized by the self-determination in FIG. 1B are data measured by the IoT skin measurement terminal 500 It is intended to accurately measure an individual's current skin condition.

Then, the IoT skin measurement terminal 500, as shown in Figures 1 and 3 (skin measurement algorithm), moisture and

oil sensor unit

510, 520. It consists of a skin photographing camera 530, an LED lighting unit 540, and a moisture and

oil sensor unit

510, 520. The data measured by the skin photographing camera 530 includes a skin measurement data analysis unit 430B that is converted into percentage data compared to the reference data of the reference database 430A having 8-step image data.

The skin is photographed using the skin photographing camera 530. In the conventional skin measurement, an image photographed on the IoT device is applied by installing a skin judgment application and connecting the IoT device and the application one-to-one using a Wi-Fi network. It is transmitted to the structure that can confirm the numerical value, etc. through the data registered in the system stored in the application, but in the present invention, the skin photographing by the skin photographing camera 530 is a measurement data repeater functioning as a relay in the cloud server 400 ( It is configured to connect the IoT skin measurement terminal 500 to the web-based skin judgment cloud server 400 using the 420) to take a skin shot and receive a solution.

In particular, the skin measurement data input unit 600 selects and identifies the selected serial number of the IoT skin measurement terminal 500 product registered in the cloud server 400, and then the skin measurement data input unit 600 and the measurement data repeater 420 And maintaining the connection between the skin measurement terminal 500, and the image taken by the IoT skin measurement terminal 500 can be checked on the user PC 100 and the smartphone 200.

The IoT skin measurement terminal 500 having such a configuration can provide a web-based judgment solution that exchanges protocols with the cloud server 400, the user PC 100, and the smartphone 200, and thus the IoT skin measurement terminal 500. Even if the cloud server 400 and the cloud server 400 use different networks without using the same Wi-Fi network, connection is possible, and when the smart phone 200 and the cloud server 400, which is a web-based judgment solution, are connected, tethering ( It is also possible to connect to and use the IoT skin measurement terminal 500 through tetheting, a technology that allows access to the Internet to other devices using a device capable of internet, such as a smartphone.

Through the IoT skin measuring terminal 500 having such a configuration, moisture, oil, wrinkles, pigments, and pores are measured for the current skin condition, and a specific embodiment will be described with reference to FIG. 3 as follows.

The individual moisture and oil items are measured through each moisture and

oil sensor

510, 520, and compared with the reference database 430A to generate a percentage value by the skin measurement data analysis unit 430B. In order to take images of wrinkles, pigments, and pores that are not affected by the shooting environment, the IoT skin measurement terminal 500 is equipped with an LED lighting unit 540 for darkening function and lighting to switch modes for each item. Wrinkles, pigments, and pores can be suggested to be taken at the location of the skin.

The photographed wrinkle image is processed through wrinkle image processing (wrinkle area extraction) to calculate the depth and area of wrinkles compared to all pixels, and the 8-step image data of the reference database 430A is measured through the skin measurement data analysis unit 430B. Percentages can be generated compared to the data.

In addition, the dye image is processed through dye image processing (pigment area extraction) to calculate the depth or area of the dye compared to all pixels, and the eight-step image data stored in the reference database 430A through the skin measurement data analysis unit 430B. Percentages can be generated compared to measured data.

In addition, the pore image is processed through pore image processing (pore extraction) to calculate the area and depth of the pores compared to all pixels, and the eight-step image data of the reference database 430A through the skin measurement data analysis unit 430B. Percentages can be generated compared to measured data.

In addition, the moisture, oily data and pores, pigments, and wrinkles image measurement data measured by the IoT skin measurement terminal 500 transmits the skin measurement data through the data repeater 420 in the cloud server 400 to the Internet (l). Alternatively, the image analysis server 430 is transmitted through the user PC 100 or the smartphone 200 by the skin measurement data input unit 600 through the Wi-Fi (W1) to the user PC 100 or the smartphone 200. In this case, the authentication number of the corresponding IoT skin measurement terminal 500 is checked and processed, and upon authentication, the user's PC 100 or the smartphone 200 operates the IoT skin measurement terminal 500. By transmitting the skin measurement data to the image analysis server 430 in the cloud server 400, the reference database 430A constituting the image analysis server 430 and the input skin measurement data are sent to the skin measurement data analysis unit 430B. By comparison, the percentage data of moisture, oil, pigment, pores, and wrinkles generated by comparison may be transmitted to the gene analysis server 410.

This is primarily for analyzing the percentage data by the image analysis server 430 and transmitting it to the gene analysis server 410 to analyze the percentage data measured by the IoT skin measurement terminal 500 more reliably. Since the currently measured data is more important and reliable than the judgment, the moisture, oil, and pore, pigment, and wrinkle images included in the self-determination item are replaced with percentage data measured by the IoT skin measurement terminal 500 to be analyzed. It is for. For example, when data by the IoT skin measurement terminal 500 is input to the genetic analysis server 410 through the image analysis server 430, the shortage of moisture and lack of oil in the self-determination dry item is the IoT skin measurement terminal 500. Substitutes the percentage data measured by the moisture and

oil sensor

510, 520 of the, and sebum excess segmentation item of the self-determination oily item is replaced by the pore image taken by the skin imaging camera 530, self-determination pigment The pigmentation-type segmentation item of the item is replaced with a pigment image photographed by the skin imaging camera 530, and the progressive wrinkle segmentation item of the self-judgment wrinkle item is analyzed by replacing it with a wrinkle image captured by the skin imaging camera 530 To make it possible.

In addition, when only the self-determination percentage data is input without the gene percentage data input, the smallest percentage data from the self-determination percentage data may be determined as a corresponding recommendation code.

The gene analysis server 410 compares the gene percentage data through the gene analysis database 10 with the self-assessment percentage data through the self-determination information input unit 300 and the skin measurement percentage data through the image analysis server 430. However, when the percentage data of the self-determination through the self-determination information input unit 300 and the gene percentage data from the gene analysis database 10 are input, the average value of each item of each gene in the average value of each item of the self-determination By subtracting and determining the smallest percentage data value from the percentage data value of each corresponding item as the corresponding recommendation code, the self-assessment percentage data and the skin measurement percentage data through the image analysis server 430 are analyzed together with the gene percentage data. When input to the server 410, the percentage data of the self-determination item is replaced with the corresponding skin measurement percentage data item, and the corresponding item average value gene percentage data value is subtracted from the average value percentage data value of each item for self-determination. By determining the smallest percentage data value from each percentage data value with a corresponding judgment code, a health functional food according to an individual's skin symptoms can be recommended.

That is, the percentage of the sum of the gene items corresponding to the dryness is determined from the gene item percentage data input to the gene analysis server 410 and converted to the average value, and the self-assessment is analyzed on the user's PC or smartphone. Check the item and judge the moisture-deficient item corresponding to the dryness of the skin symptom type converted according to the Likert scale. The analysis processing unit 410A converts the percentage of the summed into an average value, and checks the item in the self-determination questionnaire. The oil deficiency item corresponding to the dryness converted according to the cut scale is determined and the percentage processed by the analysis processing unit 410A is converted into an average value, and the average value of the genetic analysis corresponding to the dryness is averaged from the average value of the water shortage type by the self-evaluation. After subtracting (average value of self-assessment analysis-average value of genetic analysis) to obtain fractional percentage data, the determination and analysis processing unit 410A generates a smaller value among the percentage fraction lacking moisture and percentage fraction fractional fraction data. As described above, the average value of the percentage data for each of the eight skin segmentation items corresponding to the sensitive, oily, pigmented, and wrinkled skin types is sequentially (or simultaneously) summed up by the judgment and analysis processing unit 410A to generate an average value to dry and sensitive , Oily, pigmented, and wrinkled skin types The items with the smallest value among the 10 items can be determined with a judgment code to suggest prescriptions for individual skin symptoms.

Specifically, the present invention compares the percentage value of genetic analysis, which is innate information for each skin type, and the percentage value of skin measurement information, which is acquired information, and the percentage value of 33 types of self-examination information, so that the determination code is determined to have a small difference value of each type If there is no genetic analysis data, the judgment code is determined by a code with a small value as a percentage value of self-judgment. In summary, the skin gene corresponding to each of the 5 major categories (dry, sensitive, oily, pigment, and wrinkle) The average value of the sum of the percentage of marker item data (exemplified English characters: A1 to A5) is converted by the judgment analysis processing unit (410A), and the subdivision checked by five self-determined skin-related major categories (dry, sensitive, oily, pigment, wrinkle) The average value of the percentage of data sum of items 1 and 2 of the item lacking moisture in the item (exemplified English characters: B1 to B5) and percentage data of each of the moisture, oil, pores, pigment, and wrinkles of the IoT skin measurement terminal 500 (example) As the English alphabet, moisture, oil content, C2 (pores as illustrated English characters), C3 (pigments as illustrated English characters), and C4 (wrinkles as illustrated English characters) are calculated by the judgment analysis processing unit 410A, and (B1 to B5) ), the average value of the percentage of data sum of items 1 and 2 corresponding to the oil deficiency type (exemplified English characters: B'1 to B'5) is processed by the judgment and analysis processing unit 410A, and the B1 to B5 values and B' The average value of the sum of 1~B'5 values is determined by the skin type I item (exemplified English characters: BB'1~BB'5) (e.g., dryness in front of the code: D), and the above BB'~BB'5-A1~ A5 (Subtraction) After obtaining K1~K5 (exemplified English characters) (after comparative analysis), the smallest value of each small value (B1~B5) of item 1 and item 2 of the subdivision questionnaire item in K1~K5 Withdrawal (Example of back seat of code: M of lack of moisture), select the smallest value from 5 items (dry, sensitive, oily, pigment, wrinkle) as skin type Ⅱ item (2 digit code example: DM) as the judgment code At the same time, the main categories of human metabolism for self-determination Damage recovery: Code name R, Toxin detoxification: Code name D, Metabolism promotion: Code name: M) Subdivision questionnaire items for each (damage recovery: Question 1, 2, 3, 4, 5, Toxin decoding: Question 1, 2 , 3, 4, 5, metabolism promotion: 1, 2, 3, 4, 5) The average percentage data of genetic vitamin genetic markers corresponding to the corresponding percentage of self-reported average percentage data (examples: C1 ~ C3) English characters: D1 ~ D3) are subtracted to obtain the smallest value (L1 ~ L3), and then take the smallest value (L1 ~ L3) among the subdivision items from each of the L1 ~ L3 values, but 3 items ( The smallest value in damage recovery, toxin detoxification, and metabolism promotion) is determined as a code for resolving human metabolism troubles (e.g., damage recovery R), and the skin type II item (2-digit code example: DM) and metabolism item 1 The three-digit judgment code is calculated by combining the three-digit judgment code (for example, DMR) and the recommended three-digit judgment code is determined as the health functional food judgment code.

Hereinafter, the present invention will be described with reference to specific examples.

That is, the percentage data of the skin genetic marker A, the skin genetic marker B, and the skin genetic marker C item corresponding to the dryness (Dry) shown in FIG. 1C in the gene item percentage data input to the gene analysis server 410 are 50%, respectively. In the case of 30% and 70%, the sum total (150%) of the three items is converted to an average value (50%) by the judgment analysis processing unit 410A, and checked by the self-assessment questionnaire item shown in FIG. The combined percentage (130%) of the percentage data 70% of the water shortage item 1 and the percentage data 60% of the water shortage item 2 converted according to the scale was converted to the average value (65%) by the judgment analysis processing unit 410A. At the same time, by checking at the self-assessment questionnaire item shown in Fig. 1D, the sum percentage (140%) of the percentage data of 70% of the percentage item of insufficient oil type and 70% of the percentage data of the item of insufficient oil level (140%) converted according to the Likert scale is determined. In the analysis processing unit 410A, the converted process is converted into an average value (70%), and then the combined average value of 65% and 70% oil content is set to 67.5% of the skin category I (dry code D in FIG. , Subtract the average 50% of the gene analysis value for dryness (67.5% of self-evaluation analysis-50% of gene analysis) to obtain 17.5% of percentage data for dryness, but 65% of self-determination and 70% of oil It is determined by the judgment code (DM) of the item of subdivided skin type II (water shortage code M in FIG. 1E) which is a small numerical item.

This means that the average value of the percentage data for gene items was 50%, but the average value of the percentage data for lack of moisture changed by seasons or surroundings was reduced to 17.5%. The average value for the percentage data for gene items is 50% or more. It is recognized that there is a need to provide cosmetics, and as a result of these results, it is also possible to provide healthy food suitable for an individual's skin type. Therefore, the self-evaluation analysis average value according to the present invention-a subtraction algorithm based on the genetic analysis average value is appropriate. will be.

In other words, the time of genetic analysis, the exposure of various contaminated environments, the exposure of ultraviolet rays due to the destruction of the ozone layer, and the current conditions of the subdivided skin caused by various stresses are different. In order to solve the problem of not being able to provide cosmetics and health food suitable for this, the average value is calculated after summing for each item so as not to be biased by any one skin symptom for each of the subdivided skin symptoms. The self-assessment analysis average value (including the skin measurement average value by the skin measurement terminal)-The subtraction algorithm that determines the smallest value among these items as a judgment code by performing subtraction processing through the genetic analysis average value is the percentage by the genetic analysis It is to perform the subtraction process to determine that the percentage data due to skin symptoms at the present time caused by exposure to various contaminated environments is worse than the data information.

In addition, as described above, 17.5% of the moisture insufficiency percentage data determined by the determination analysis processing unit 410A corresponds to skin dryness, and in the case of the moisture insufficiency type, the determination analysis processing unit 410A determines and generates the determination code'DM'.

In addition, for each of sensitivity, oiliness, pigment, and wrinkles, as in the processing of the above-described dry judgment analysis processing unit 410A, a process for subtracting the gene average percentage (average adjustment value) from the self-evaluation average percentage (adjustment value for each skin type) is performed. Through the analysis process, the judgment code, for example, is sensitive and sensitive, the judgment code is judged as'SC', but the percentage data of the judgment code'SC' is 24.5% (where the genetic adjustment value is 60%, by skin type) Adjustment value is 84.5%), it corresponds to oily and sebaceous hyperplasia is judged as'OS', but percentage data of'OS' is 15% (genetic adjustment value is 50%, skin type adjustment value is 65) %), and it is judged as'PF' when it is a pigment and a color pigment, but the percentage data of'PF' is 5% (at this time, the genetic adjustment value is 60%, and the skin type adjustment value is 65%) , In case of wrinkles and initial fine wrinkles, it is judged as'WL', but if the percentage data of'WL' is 17% (the genetic adjustment value is 60% and the adjustment value for each skin type is 77%), the judgment analysis processing unit (410A), the final value of the'DM' 17.5%,'SC' 24.5%,'OS' 15%,'PF' 5%,'WL' 17%, the smallest value of'PF' 5%, according to skin symptoms Decide by code.

Therefore, 5% of the judgment code'PF' indicates that the skin symptoms of the individual caused trouble due to the colorant.

If, as described above, the percentage data measured by the IoT skin measurement terminal 500 is input to the judgment analysis processing unit 410A, the IoT skin measurement terminal instead of the checking item in the self-assessment questionnaire item shown in FIG. It is possible to determine the judgment code according to the skin symptoms as described above by substituting the moisture, oil, data and pores, pigments, and wrinkles image data measured by (500).

On the other hand, the present invention adds toxin detoxification, metabolism promotion, and damage recovery items, which are human body metabolism judgment items, to accurately and reliably recommend health functional foods, the 2-digit judgment code and toxin decoding determined by the skin-related judgment codes, It is possible to prescribe customized health functional foods by generating 30 types of 3-digit judgment codes shown in FIG. 1E, which combine 1-digit judgment codes corresponding to metabolism promotion and damage recovery.

In other words, vitamin genetic marker A, vitamin genetic marker B, vitamin genetic marker C, vitamin genetic marker D, vitamin genetic marker E, vitamin genetic marker F, vitamin genetics Marker G, Vitamin Genetic Marker H, Vitamin Genetic Marker I, Vitamin Genetic Marker J, and 10 obesity gene categories, and obesity Genetic Marker A, obesity Genetic Marker B, obesity Genetic Marker C, and obesity Genetic Marker D. , The same method of performing the subtraction process of obtaining the judgment code according to the skin type symptoms by using the percentage data of each of the 28 gene items consisting of one hair loss gene category and the percentage data of the self-examination questionnaire items corresponding to nutrients and metabolism Calculate the average percentage data with, but subtract the average percentage data of the genetic items constituting the corresponding nutrients and metabolism from the average percentage data of self-assessment questionnaire items to determine the smallest value (%) as a judgment code to determine skin-related It is a judgment code that combines the code of the body area (nutrient and metabolism) with the code, so that health functional food can be recommended.

In the above, a correlation table of 10 skin types related to skin, genetic items constituting nutrients and metabolism, and self-evaluation items corresponding thereto is presented through FIG. 1F. Specifically, for example, health requiring'metabolism promotion' When explaining the case of recommending a functional food, first of all, self-judgment skin items correspond to lack of oil, aesthetics, and initial fine wrinkles, and as a genetic item,'promote metabolism' corresponding items are vitamin genetic marker A, vitamin genetic marker C, vitamin genetic Marker G is applicable, and the corresponding skin-related items are lack of oil, blemish, and initial fine wrinkles.

Accordingly, as described above, the genetic items of vitamin genetic marker A, vitamin genetic marker C, and vitamin genetic marker G are respectively calculated from the value (%) of the percentage of the sum of each of the self-judgment items, lack of oil, aesthetics, and initial fine wrinkles. In the'Metabolism Promotion' item, which is subtracted from the value (%), which is the converted percentage of the sum, and the'Toxic Detoxification','damage recovery', and'Metabolism Promotion' items, which are subtracted in the same way as above. If the smallest value corresponds to'damage recovery', the judgment code is determined as'R', and at the same time, the skin-related items corresponding to the'damage recovery' are lack of moisture among lack of moisture, hypersensitivity, irritability, and wrinkles. ', the final overall judgment code for skin symptoms is determined as'PFR'.

It is judged that there is a skin trouble caused by a spotty pigment, and the vitamin genetic marker B, vitamin genetic marker E, vitamin genetic marker F, vitamin genetic marker H, and vitamin genetic marker J are insufficient, and thus, skin necessary for repair of damage. In the case of, for example, it is possible to provide a beverage or food that is a health functional food containing collagen, antioxidants and hormones.

As described above, the present invention provides accurate and scientifically satisfactory health functional food for toxin detoxification, metabolism promotion, and damage recovery in order to resolve toxins, metabolism and damage caused by individual facial skin conditions and genetic factors. You can do it.

As described above, the present invention confirms by transmitting the judgment code determined by subtracting the gene percentage data from the self-judgment percentage data to the user PC 100 or the smartphone 200, and then preventing or treating skin symptoms according to the determined judgment code. It is to make recommendations for the right health functional food.

The method for providing personalized health functional food information according to the present invention will be described as an embodiment through the flowchart through FIG. 2 based on FIG. 1.

A gene information receiving step (S1) of receiving 28 percentage data related to skin received from the gene analysis company through the gene analysis database 10;

Gene information transmission step (S2) of transmitting the gene percentage data of the gene analysis database 10 to the gene analysis server 410 in the cloud server 400 through the HTTP REST API;

Self-judgment skin condition information transmission step of transmitting the self-judgment questionnaire item percentage data obtained by using the Likert scale to the genetic analysis server 410 in the cloud server 400 through the self-judgment information input unit 300 ( S3);

Including the skin measurement step (S4) for measuring the moisture, oil and pores, pigments, and wrinkles through the skin measurement algorithm of the IoT skin measurement terminal 500; Moisture, oil, data measured by the terminal 500 and pores, pigments, wrinkles to replace the image data to be input processing,

The skin measurement data through the measurement data repeater 420 in the cloud server 400 is transmitted to the user PC 100 or the smartphone 200 through the Internet (I) or Wi-Fi (WI), and the corresponding IoT skin measurement terminal 500 ) After checking the authentication number of the authentication process, and when authentication is performed, the skin analysis data of the corresponding IoT skin measurement terminal 500 by the operation of the user PC 100 or the smartphone 200 is processed by the image analysis server in the cloud server 400 Water, oil, pigment, pores, wrinkles generated by comparing the reference database constituting the image analysis server 410 with the input skin measurement data by the skin measurement data analysis unit 430B A skin measurement data transmission processing step (S5) of the IoT skin measurement terminal 500 to transmit the percentage data to the gene analysis server 410; The percentage data sum of the percentage data of the skin genetic marker corresponding to dryness from the percentage data of the gene items input to the gene analysis server 410 is converted into an average value by the judgment analysis processing unit 410A, and checked by the self-assessment questionnaire item and checked The percentage of the sum of the percentage data of the water shortage item 1 and the percentage data of the water shortage item 2, which are converted according to the scale, and the total percentage of the self-evaluation item data corresponding to the metabolic acceleration item, toxin detoxification item, and damage recovery item and IoT The moisture, oil, data and pore, pigment, and wrinkle image data measured by the skin measurement terminal 500 are converted into an average value by the judgment analysis processing unit 410A, and checked at the self-assessment questionnaire to check the Likert scale. Accordingly, the percentage of the sum of the percentage data of the insufficient oily item 1 and the percentage data of the insufficient oily item 2 is judged as the average value by the analysis processing unit, and then the average value of the moisture and oil is set as the average value of the large category skin type I item Then, by subtracting the gene analysis average value corresponding to dryness (average value of self-assessment analysis-average value of gene analysis) to obtain dry percentage data, lack of moisture of the subdivided skin type II item, which is a small number among self-evaluation moisture and oil content items Step (S6) to determine the type; The average percentage value of each gene item of sensitive, oily, pigment, and wrinkle input to the genetic analysis server 410 of the cloud server 400 and the average percentage item of sensitive, oily, pigment, and wrinkle checked for self-judgment items And the step (S6) in the determination and analysis processing unit 410A of the genetic analysis server 410 for the moisture, oil, data and pore, pigment, and wrinkle image data measured by the IoT skin measurement terminal 500 corresponding thereto. By comparing and analyzing together, the step of generating a subdivided skin type II item (8 items) of each of sensitive, oily, pigment, and wrinkles (S7) (S7') (S7") (S7'"); And the sum of self-assessment items corresponding to each of the items for promoting metabolism, toxin detoxification, and damage recovery, and then subtracting the value converted to the average value after adding the gene item from the value converted to the average value. Comprising the step of obtaining the result value (S7A) (S7B) (S7C); Comparative analysis in steps (S6) (S7) ~ (S7'") and step (S7A) (S7B) (S7C) to perform the subtraction process The smallest value (%) of the subdivided skin type II item (10 items) and the smallest value among metabolism promoting items, toxin detoxification items, and damage recovery items corresponding to the classified large skin type I (5 items) Step (S8) to determine at (410A); An analysis processing step (S9) of determining the code generated in the step (S8) as a health functional food judgment code according to skin symptoms; When the result value of the judgment code determined in the analysis processing step (S9) is the same, the decision analysis processing unit 410A determines dryness→sensitivity→intelligence→pigmentation→wrinkle and metabolism promotion→toxin detoxification→damage recovery in order (S10). )Wow; Transmitting the determined judgment code to the user PC 100 or the smartphone 200 through the measurement data repeater 420 (S11); And a step (S12) of recommending a health functional food capable of resolving skin trouble by the transmitted determination code.

When the result value of the judgment code in the step S10 is the same, the reason for determining the decision code priority is to provide an algorithm to take a small value in the analysis process of the present invention, so that the dry item having the smallest value in the ranking It can be understood that the skin trouble of the first affects the skin more than the skin trouble of the wrinkle item.

In the step S6, if the result of the lack of moisture and the result of the lack of oil among the dry items is the same, the determination code is determined as the lack of moisture, and if the sensitive skin result value and the sensitive skin result value are the same among the sensitive items, The determination code is determined by the result of sensitive skin, and it is preferable to set the result value for each oily hyperlipidity, pigment for a sebum pigment, and wrinkle for initial fine lines as the determination code.

* The present invention made as described above is to generate a judgment code through the analysis of the inherent difference value by processing the result of the measurement percentage result of the innate characteristic gene and the percentage result value of the acquired self-determination percentage in the judgment analysis processing unit, In order to supplement the skin phenomena of the individual and the part perceived by the individual through self-assessment (interview), it is possible to check the statistical results by matching the relevant items through skin surface photography and unifying all the values as percentages.

According to the present invention, 10 skin items and 10 vitamin gene categories corresponding to the skin symptoms (genetic, self-determination, and percentage of skin measurement) and corresponding obesity genetic marker A, obesity genetic marker B, and obese genetics Four items, such as marker C and obesity genetic marker D, are classified into dry, sensitive, oily, pigment, and wrinkles, which are the existing skin type classifications such as dry, oily, complex, and neutral. At the same time as classifying characteristics, the skin symptoms measured by classifying and categorizing them into 14 corresponding metabolism are, for example, lack of moisture (DM) and'damage recovery' and'toxin detoxification' subtracted in the same way as above. If the smallest value in each of the'Item and'Promote Metabolism' item corresponds to'damage recovery', the judgment code is determined as'R', and at the same time, the skin-related item oiliness, stain, In case of'dehydration' among pigmentation, the overall judgment code is determined as'DMR'.

Described through a specific example, for example, as a result of the analysis and determination, if the skin corresponds to the skin lacking moisture and the skin requiring damage recovery, the'DMR' judgment code is determined, and the skin corresponding to the'DMR' judgment code To solve the problem, it is possible to recommend health functional foods containing collagen, antioxidants and hormones to prevent skin dryness symptoms and loss of elasticity due to lack of moisture. Through the recommended health functional foods, it will be possible to contribute to resolving skin problems such as skin alleviation.

Although the present invention has been described in detail above, the scope of the present invention is not limited or interpreted by these descriptions. The above description is merely to illustrate the present invention, the scope of the present invention is defined by the claims described below, it should be understood that all simple modifications or changes within this range belong to the scope of the present invention.

Claims

A gene analysis database 10 that processes percentage data for 28 genes related to skin, vitamins, obesity, and hair loss genes received from a gene analysis company;

The user's PC 100 and smartphone 200 check each of the 33 skin and metabolism self-assessment list questions and convert the self-assessment percentage data converted into percentages by the Likert scale measurement to the Internet (l) or Wi-Fi (W1 ) Through the self-determination information input unit 300 for input processing;

A data storage unit 410B constituting the genetic analysis server 410 in the cloud server 400 storing the genetic percentage data of the genetic analysis database 10 and the self determination percentage data through the self determination information input unit 300. And a judgment analysis processing unit 410A for comparing and analyzing the input data;

Including the moisture, oil data and pigment, pores, wrinkles image data by the IoT skin measurement terminal 500 through the Wi-Fi (W2) to process the measurement data repeater 420 in the cloud server 400; , The skin measurement data through the data repeater 420 in the cloud server 400 is transmitted to the user PC 100 or the smartphone 200 through the Internet (l) or Wi-Fi (W1) to the corresponding IoT skin measurement terminal ( 500) After verifying the authentication number of the authentication process, and when authentication is performed, the skin measurement data of the IoT skin measurement terminal 500 is analyzed in the cloud server 400 by operating the user PC 100 or the smartphone 200. Oil, pigment, pores and wrinkles generated by comparing the reference data base 430A constituting the image analysis server 430 and the input skin measurement data by the skin measurement data analysis unit 430B by transmitting it to the server 430 Each percentage data is transmitted to the genetic analysis server 410,

The genetic analysis server 410 is a percentage analysis of the gene through the genetic analysis database 10 and the self-assessment percentage data and the image analysis server 430 through the self-determination information input unit 300 by the judgment analysis processing unit 410A Compare the skin measurement percentage data through, but if the self-assessment percentage data through the self-determination information input unit 300 and the gene percentage data through the gene analysis database 10 are input, the average value of each item of the self-determination value is By subtracting each of the average percentage data values of each gene, the smallest percentage data value of each corresponding item is determined by the corresponding code, and self-judgment percentage data and skin measurement through the image analysis server 430 When the percentage data is input to the gene analysis server 410 together with the gene percentage data, the percentage data of the self-determination item is replaced with the corresponding skin measurement percentage data item, and the average value of the corresponding item in the average value percentage data value of each item of the self-determination User PC (100) by determining the smallest percentage data value from the percentage data value of each relevant item as the judgment code according to skin symptoms and toxin detoxification, metabolism promotion, and damage recovery by subtracting the percentage data value And providing a health functional food suitable for skin symptoms, causes, prevention and regeneration according to the transmitted judgment code, which is processed by the smart phone 200, and provides personalized health functional food information related to skin. Analysis system.
According to claim 1, The IoT skin measurement terminal 500 is a moisture and oil sensor unit (510) (520). It consists of a skin photographing camera 530, an LED lighting unit 540, and a moisture and oil sensor unit 510, 520. The data measured by the skin photographing camera 530 includes a skin measurement data analysis unit 430B that is converted into percentage data compared to the reference data of the reference database 430A having a plurality of image data. The IoT skin measurement terminal 500 provides a web-based judgment solution for exchanging protocols with the cloud server 400, the user PC 100, and the smartphone 200, and personalized health functional food information related to skin. Provide analysis system.
The method of claim 1, wherein the judgment code divides skin types into dry, sensitive, oily, pigment, and wrinkles and divides them into 10 skin subdivision items to classify individual skin characteristics, and the average percentage data value according to the self-evaluation item. Subtract and process the average percentage data value by genetic item from the smallest value among the 10 skin segmentation types classified as subdivided items to determine in English capital letters, but promote metabolic items, detoxification items, and damage recovery items The sum of the self-assessment items corresponding to each item is added to the average value from the value converted to the average value, and the value converted to the average value is subtracted. A personalized health functional food information analysis system related to skin characterized by providing a seat health functional food judgment code.
The method according to claim 1, wherein the percentage of the sum of the gene items corresponding to the dryness is analyzed by the analysis and analysis unit (410A) from the percentage data of the gene items inputted to the gene analysis server 410, and the user PC or smartphone. The self-judgment questionnaire is checked and judged by the analysis processing unit (410A) the percentage of the sum of the water shortage and metabolism promoting items, toxin detoxification items, and damage recovery items corresponding to the dryness converted according to the Likert scale. At the same time as processing, check on the self-assessment questionnaire item and judge the fraction of oil shortage corresponding to the dryness converted according to the Likert scale, and convert the percentage of the sum total processed by the analysis processing unit 410A to an average value, and the moisture by the self-judgment Subtract the average gene analysis value corresponding to the dryness from the average value of the deficiency type (self-evaluation analysis average value-the average value of the genetic analysis) to obtain the percentage data of moisture deficiency, and then the judgment analysis processing unit 410A has a small number of self-decision items. Determines the skin item of, and averages the percentage data for each of the 10 skin segmentation items corresponding to sensitive, oily, pigmented, and wrinkled skin types, and then sequentially sums them by the judgment and analysis processor 410A to generate an average value for dryness. Sensitive, oily, pigment, and wrinkles The skin-related 2-digit judgment code and metabolism promoting items, toxin detoxification items, and self-determination items corresponding to each of the damage recovery items of the corresponding item having the smallest value are added up and converted into an average value. After summing the gene items from one value and subtracting the value converted to the average value, the 1-digit judgment code of the corresponding item having the smallest value in the result value is generated to determine the 3-digit judgment code. Personalized health functional food information provision analysis system related to skin, characterized by composition.
A method for providing personalized health functional food information related to skin using the analysis system for providing personalized health functional food related to skin according to claim 1,

Gene information receiving step (S1) for receiving 28 percent of skin-related percentage data received from the gene analysis company through the gene analysis database 10;

Gene information transmission step (S2) of transmitting the gene percentage data of the gene analysis database 10 to the gene analysis server 410 in the cloud server 400 through the HTTP REST API;

Self-judgment skin condition information transmission step of transmitting the self-judgment questionnaire item percentage data obtained by using the Likert scale to the genetic analysis server 410 in the cloud server 400 through the self-judgment information input unit 300 ( S3);

Including the skin measurement step (S4) for measuring the moisture, oil and pores, pigments, and wrinkles through the skin measurement algorithm of the IoT skin measurement terminal 500; Moisture, oil, data and pores, pigments, and wrinkles measured by the terminal 500 are replaced by image data, and input processing is performed.

The skin measurement data through the measurement data repeater 420 in the cloud server 400 is transmitted to the user PC 100 or the smartphone 200 through the Internet (I) or Wi-Fi (WI), and the corresponding IoT skin measurement terminal 500 ) After checking the authentication number of the authentication process, and when authentication is performed, the skin analysis data of the corresponding IoT skin measurement terminal 500 by the operation of the user PC 100 or the smartphone 200 is image-analysis server in the cloud server 400 Water, oil, pigment, pores, wrinkles generated by comparing the reference database constituting the image analysis server 410 with the input skin measurement data by the skin measurement data analysis unit 430B A skin measurement data transmission processing step (S5) of the IoT skin measurement terminal 500 to transmit the percentage data to the gene analysis server 410; The percentage data sum of the percentage data of the skin genetic marker corresponding to dryness from the percentage data of the gene items input to the gene analysis server 410 is converted into an average value by the judgment analysis processing unit 410A, and checked by the self-assessment questionnaire item and checked The percentage of the sum of the percentage data of the water shortage item 1 and the percentage data of the water shortage item 2, which are converted according to the scale, and the total percentage of the self-evaluation item data corresponding to the metabolic acceleration item, toxin detoxification item, and damage recovery item and IoT The moisture, oil, data and pore, pigment, and wrinkle image data measured by the skin measurement terminal 500 are converted into an average value by the judgment analysis processing unit 410A, and checked at the self-assessment questionnaire to check the Likert scale. Accordingly, the percentage of the sum of the percentage data of the insufficient oily item 1 and the percentage data of the insufficient oily item 2 is judged and processed by the analysis processing unit, and then the average value of the moisture and oil is set as the average value of the large category skin type I item Then, by subtracting the gene analysis average value corresponding to dryness (average value of self-assessment analysis-average value of gene analysis) to obtain dry percentage data, lack of moisture of the subdivided skin type II item, which is a small number among self-evaluation moisture and oil content items Step (S6) to determine the type; The average percentage value of each gene item of sensitive, oily, pigment, and wrinkle input to the genetic analysis server 410 of the cloud server 400 and the average percentage item of sensitive, oily, pigment, and wrinkle checked for self-judgment items And the step (S6) in the determination analysis processing unit 410A of the genetic analysis server 410 for the moisture, oil, data and pore, pigment, and wrinkle image data measured by the IoT skin measurement terminal 500 corresponding thereto. By comparing and analyzing together, the step of generating a skin type II item (8 items) of each of sensitive, oily, pigmented, and wrinkled skin (S7) (S7') (S7") (S7'"); And the sum of self-assessment items corresponding to each of the items for promoting metabolism, toxin detoxification, and damage recovery, and then subtracting the value converted to the average after summing the gene items from the value converted to the average. Comprising the step of obtaining the result value (S7A) (S7B) (S7C); Comparative analysis in steps (S6) (S7) ~ (S7'") and step (S7A) (S7B) (S7C) to perform the subtraction process The smallest value (%) of the subdivided skin type II item (10 items) and the smallest value among metabolism promoting items, toxin detoxification items, and damage recovery items corresponding to the classified large skin type I (5 items) Step (S8) to determine at (410A); An analysis processing step (S9) of determining the code generated in the step (S8) as a health functional food judgment code according to skin symptoms; When the result value of the judgment code determined in the analysis processing step (S9) is the same, the decision analysis processing unit 410A determines the order of dryness→sensitivity→intelligence→pigmentation→wrinkle and metabolism promotion→toxin detoxification→damage recovery (S10). )Wow; A method of providing personalized health functional food information related to skin characterized in that it is made through the step (S11) of transmitting the determined judgment code to the user PC 100 or the smartphone 200 through the measurement data repeater 420.