JP6974029B2 - Image display device, skin condition support system, image display program and image display method - Google Patents

Description

The present invention relates to an image display device, a skin condition support system, an image display program, and an image display method.

Conventionally, various tools for skin condition care are known.

For example, in Patent Document 1, as a counseling tool used by a cosmetics salesperson or the like for a user, a skin condition explanation unit for explaining the skin condition for a typical pattern of the skin condition and a skin condition thereof are described. A counseling tool with an explanatory display of skin care methods required for the skin care method is described.

In the skin condition explanation section, the subheading "a condition that tends to lack water" as a typical pattern of the skin condition and the "barrier function that protects the skin from external stimuli" about the skin condition are also likely to deteriorate. ……… I can think of it. ”

The explanation display unit of the skin care method includes the headings "Slightly insufficient person W moisturizing" and "Insufficient person W moisturizing + lotion mask cream" as the skin care method in the skin condition.

For example, if the cosmetics salesperson determines that the customer's skin condition is slightly lacking in water, the customer's skin is recommended to perform "W moisturizing" displayed on the explanation display of the skin care method. By matching the condition with the counseling tool, it is possible to immediately present to the user measures according to the skin pattern.

Japanese Patent No. 4299080

However, in the technique of Patent Document 1, the user can grasp what kind of skin condition the proposed measure should be executed at what degree (time, amount, number of times per day, frequency of execution, etc.). It was difficult to get it done.

Therefore, an object of the present invention is to provide an image display device, a skin condition support system, an image display program, and an image display method capable of causing a user to recognize the relationship between the degree of execution of a measure and the skin condition.

The image display device of the present invention is
An image display unit for outputting information,
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. and a control unit, a
The output control unit, before Symbol image display unit
It is a line segment for indicating the degree of execution of the measure group, and the degree of execution of the measure group is higher toward one end of the line segment, and the other end of the line segment is shown. The first line segment display indicating the state in which the degree of execution of the measure group is low is output toward the department.
The first icon is output at the position on the first line segment display corresponding to the value of the degree of execution of the user in the measure group recognized by the score recognition unit.
A line segment for indicating the height of each of the skin score, the heart score, and the body score, and the skin score, the heart score, and the body score are each toward one end of the line segment. The second line segment display, the third line segment display, and the fourth line segment show a high state, and the skin score, the heart score, and the body score are each lower toward the other end of the line segment. Output the minute display,
A second icon is output at a position on the second line segment display corresponding to the skin score recognized by the score recognition unit, and the third line segment display corresponding to the heart score recognized by the score recognition unit is displayed. The third icon is output at the position of, and the fourth icon is output at the position on the fourth line segment display corresponding to the body score recognized by the score recognition unit. It is characterized by.

According to the image display device having the configuration, the score recognition unit quantifies the value of the degree of execution of the user of the measure group and the skin condition, the mental state, and the physical condition of the user, which is the skin score and the heart. The score and the body score are recognized.
In addition, the first icon is output to the screen display unit at the position corresponding to the value of the degree of execution of the user of the measure group recognized by the score recognition unit on the first line segment display indicating the degree of execution of the measure group. Will be done.
Then, the skin score, the heart score, and the body recognized by the score recognition unit on the second line segment display, the third line segment display, and the fourth line segment display indicating the high and low of the skin score, the heart score, and the body score, respectively. The second icon, the third icon, and the fourth icon are output to the screen display unit at the positions on the line segment display corresponding to the respective values of the score.

As a result, the position of the first icon on the first line segment output to the screen display indicates the value of the degree of execution of the user's measures, and the position of the second icon on the second line segment determines the user's skin score. To make the user individually and intuitively recognize the user's heart score by the position of the third icon on the third line segment and the user's body score by the position of the fourth icon on the fourth line segment. Can be done. In addition, since the user can simultaneously compare and view four pieces of information, the value of the degree of execution of the measure, the skin score, the heart score, and the body score, the value of the degree of execution of the measure, the skin score, the heart score, and the body. It is easy to understand the mutual relationship between the three scores.

In the image display device of the present invention
In the output control unit, the first line segment display extends in the first direction, and the second line segment display, the third line segment display, and the fourth line segment display are orthogonal to the first direction in the second direction. The first line segment display and the second line segment display are arranged and displayed so as to extend to.
Is preferable.

According to the image display device having the configuration, the first line segment display extends in the first direction, and the second line segment display, the third line segment display, and the fourth line segment display are in the second direction orthogonal to the first direction. It is arranged and output so as to extend to.

As a result, the first line segment display, the second line segment display, the third line segment display, and the fourth line segment display are not parallel to each other, so that the icon displayed on the first line segment display and the second line segment display are displayed. The user can easily recognize that the three icons displayed on the line segment display, the third line segment display, and the fourth line segment display show values having different properties from each other. Further, since the direction of the first line segment display and the direction of the second line segment display, the third line segment display, and the fourth line segment display are orthogonal to each other, the appearance of the screen can be made clear.

In the image display device of the present invention
The output control unit is attached to the image display unit.
The second line segment display, the third line segment display, and the fourth line segment display are output at positions corresponding to the vertices of the triangle, respectively, and
The first line segment display is configured to be output inside the area represented by the line segment connecting the vertices.
Is preferable.

According to the image display device having the same configuration, the first line segment display showing the value of the degree of execution of the measure group is the second line segment display, the third line segment display showing the skin score, the heart score, and the body score. It is output inside the triangular area formed by the fourth line segment display.

As a result, a display showing the three scores of the skin score, the heart score, and the body score is output around the display showing the value of the degree of execution of the measure, so that the three scores of the skin score, the heart score, and the body score are output. It is possible to make the user visually and more intuitively recognize that each of them and the value of the degree of execution of the measure group are related to each other.

The image display device of the present invention is
An image display that outputs information and
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. With a control unit,
The output control unit is attached to the image display unit.
The skin score, the heart score, and the display showing the body score recognized by the score recognition unit are output at positions corresponding to the vertices of the triangle, respectively.
The display showing the value of the degree of execution of the measure group recognized by the score recognition unit is configured to be output on the same screen as the display showing the skin score, the heart score, and the body score.
It is characterized by that.

According to the image display device of the configuration,
The score recognition unit recognizes the value of the degree of execution of the user of the measure group and the skin score, the mental score, and the body score, which are information obtained by quantifying each of the user's skin condition, mental condition, and physical condition. ..
In addition, a display showing the skin score, the heart score, and the body score recognized by the score recognition unit is output at a position corresponding to each apex of the triangle.
Then, a display showing the value of the degree of execution of the measure group recognized by the score recognition unit is output on the same screen as the display showing the skin score, the heart score, and the body score.

As a result, the user can simultaneously compare and view the four information of the degree of execution of the measure, the skin score, the heart score, and the body score. It is possible to make the user visually and intuitively recognize that the value of the degree of execution of the measure group and the value of the degree of execution are related to each other.

In the image display device of the present invention
The output control unit is attached to the image display unit.
The display showing the value of the degree of execution of the measure group recognized by the score recognition unit is configured to be output inside the area represented by the line segment connecting the vertices.
Is preferable.

According to the image display device having the configuration, a display showing the value of the degree of execution of the measure group is output inside the triangular area formed by each display showing the skin score, the heart score, and the body score.

As a result, a display showing the three scores of the skin score, the heart score, and the body score is output around the display showing the value of the degree of execution of the measure, so that the three scores of the skin score, the heart score, and the body score are output. It is possible to make the user more visually and intuitively recognize that each of them and the value of the degree of execution of the measure group are related to each other.

An explanatory diagram of the usage pattern of the skin condition recognition system. The block diagram of the skin condition recognition system and the user terminal. An explanatory diagram of a series of skin support processes by the skin condition recognition system. The first flowchart of the process in the skin condition recognition system. The second flowchart of the process in the skin condition recognition system. The first flowchart of the process in a user terminal. The second flowchart of the process in a user terminal. Explanatory drawing of analysis processing of initial data of skin, mind, and body by subjective data and objective data. Explanatory diagram of quantification of body condition. An explanatory diagram for quantifying the state of mind. FIG. 11A is a diagram showing the relationship between each measure and the improvement tendency of the measure, FIG. 11B is a diagram showing the schedule of each process, and FIG. 11C is a diagram showing the relationship between the subjective state and the objective state of the desired skin and skin condition. The figure which shows. An explanatory diagram of the progress table based on daily monitoring during the period when the image is displayed. An explanatory diagram of the effect of a special case on the skin condition. An explanatory diagram of a display screen of the degree of improvement of the skin condition on the user terminal. It is explanatory drawing of the evaluation method of a measure, FIG. 15A shows the evaluation standard of a measure, and FIG. 15B shows the evaluation example of a measure. It is explanatory drawing of the evaluation method of living and a special case, FIG. 16A shows the evaluation criteria of living and a special case, and FIG. 16B shows the evaluation example of a living and a special case. An explanatory diagram of a method for determining the degree of goal achievement. Explanatory diagram of secondary data. Flowchart of simulation processing. FIG. 20A is a diagram showing a score of a user's skin condition, a score of a mental condition, and a score of a physical condition in a predetermined period, and FIG. 20B is a diagram showing an implementation status of a user's measure in a predetermined period. FIG. 21A is a diagram showing the degree of execution of each measure of the user in a predetermined period, and FIG. 21B is a diagram showing the degree of execution of each category of the user in a predetermined period. The figure which shows the simulation screen. The figure which shows the simulation screen when the category bar is pressed. A graph showing the relationship between the degree of implementation of measures and each score. The figure which shows an example of the simulation screen in another embodiment. The figure which shows another example of the simulation screen in another embodiment.

An example of an embodiment of the present invention will be described with reference to FIGS. 1 to 18.

[A. Usage of skin condition recognition system]
With reference to FIG. 1, the configuration of the skin condition recognition system 10 and its position with respect to the system constituting the present invention will be described. The skin condition recognition system 10 is composed of a computer system including a CPU, a memory, various interface circuits, and the like. The skin condition recognition system 10 is for improving or maintaining the skin condition of a plurality of users U (Ua, Ub, Uc are exemplified in FIG. 1) by executing an image display program held in a memory on the CPU. (Image display processing) is realized.

The skin condition recognition system 10 performs data communication with a plurality of user U communication terminals (user terminals) 30 (30a, 30b, 30c are exemplified in FIG. 1) via a communication network 1 such as the Internet. Supports the improvement or maintenance of the skin condition of the user U. The user terminal 30 corresponds to the "image display device" of the present invention.

The communication terminal 50 (exemplifying 50a and 50b in FIG. 1) of the person in charge T (exemplifying Ta and Tb in FIG. 1) is also connected to the communication network 1. The person in charge T obtains data including information such as an appropriate skin care method in consideration of the skin characteristics, hobbies and tastes, lifestyle, etc. of the user U via the communication terminal 50 in the skin condition recognition system 10 and the user terminal 30. By sending to, advice is given to the improvement of the skin condition of the user U. The communication terminal 50 of the person in charge T and the user terminal 30 of the user U do not necessarily have to be one-to-one, depending on the entire system including the skin condition recognition system 10, the communication terminal 50 of the person in charge T, and the communication network 1. The advice for improving the skin condition of the user U may be provided to the user terminal 30 of the user U. For example, a method of providing advice to one or a plurality of user terminals 30 of the user U by a plurality of persons in charge T via the respective communication terminals 50 may be used.

Further, the skin condition recognition system 10 has a function of analyzing the unique data of each user transmitted from the user terminals 30 of the plurality of users U and generating secondary data that can be used for general purposes. A service of providing the following data to another system 60 via the communication network 1 can also be performed.

[B. Skin condition recognition system and user terminal configuration]
The configuration of the skin condition recognition system 10 and the user terminal 30 will be described with reference to FIG. The skin condition recognition system 10 executes an image display program held in the memory on the CPU, so that the skin condition recognition unit 11, the measure group selection unit 12, the measure information transmission unit 13, and the secondary data generation unit 19 are executed. Functions as. The processing by these configurations will be described later. Further, the skin condition recognition system 10 includes a support DB (database) 20 that holds various data used for image display processing of the user U. This support DB 20 is expanded on RAM, for example, and can be rewritten by updating subjective and objective data described later.

Next, the user terminal 30 of the present embodiment includes a display 31, a touch panel 32, a camera 33, a microphone 34, a CPU 35, a memory 36, and the like. The display 31 corresponds to the "image display unit" of the present invention. The touch panel 32 corresponds to the "input unit" of the present invention. Instead of or in addition to this, the camera 33 or the microphone 34 of the present invention can be obtained by recognizing the user's designation based on the image of the user U captured by the camera 33 or the voice of the user U input from the microphone 34. It may function as an "input unit".

Note that one device "recognizes" information means that one device receives the information from another device, and that one device receives information stored in a storage medium connected to the one device. Reading, one device acquiring information based on the signal output from the sensor connected to the one device, one device acquiring from the received information or information stored in a storage medium or sensor. Deriving the information by executing a predetermined arithmetic process (calculation process, search process, etc.) based on the information It means that all arithmetic processing for acquiring the information is executed, such as receiving from, one device reading the information from the internal storage device or the external storage device according to the received signal.

In the present embodiment, since the user terminal 30 is, for example, a smartphone, it is provided with a camera 33, a microphone 34, and the like. Alternatively, a professional imaging device may be used. The CPU 35 executes the program of the image display application 35a (hereinafter referred to as the skin support application 35a) held in the memory 36, so that the user U can support the skin condition recognition system 10 via the skin support application 35a. It will be in a state where it can be enjoyed. The CPU 35 that executes the skin support application 35a corresponds to the "score recognition unit", "output control unit", and "designated recognition unit" of the present invention.

In addition, the user U separately has a keratin collecting tape 37 (exemplifying 37a, 37b, 37c in FIG. 1) for acquiring skin cells. The keratin collecting tape 37 may be provided to the user U by the person in charge T in advance, or the user U may purchase a commercially available keratin collecting tape 37.

In the following description, for convenience of explanation, the user who is the target of the support process for improving or maintaining the skin condition is referred to as user Ua, and the user different from "user Ua" is referred to as "other user Ub, Uc". ..

[C. A series of processing by the skin condition recognition system]
Next, a series of processes by the skin condition recognition system will be described with reference to FIG. The skin condition recognition system 10 includes "1. goal setting", "2. schedule determination", "3. monitoring", "4. schedule correction", and [5. The processing of each step of [Goal determination] and “6.2 Secondary data generation” is executed according to the flowcharts shown in FIGS. 4 and 5. Further, the user terminal 30 executes the processing according to the flowchart shown in FIGS. 6 and 7 according to the processing by the skin condition recognition system 10 in each process. Hereinafter, the processing of the skin condition recognition system 10 and the CPU 35 of the user terminal 30 in each step will be described with reference to the flowcharts shown in FIGS. 4 to 7.

In STEP 50 of FIG. 6, the user Ua downloads the program of the skin support application 35a to the user terminal 30 and activates the skin support application 35a. Then, the user Ua applies for registration to the skin support application 35a.

When the skin condition recognition system 10 receives the registration application from the user Ua in STEP 10 of FIG. 4, it recognizes that "the registration application from the user Ua has been accepted" and proceeds to STEP 11. Then, the image display process after STEP 11 is started.

[D. Goal setting process]
The process of "1. Goal setting" shown in FIG. 3 is executed by the skin condition recognition unit 11 and the measure group selection unit 12. In STEP 11 of FIG. 4, the measure group selection unit 12 prompts the user terminal 30 to input information for grasping the current skin, body, and mental states of the user Ua and the skin condition requested by the user Ua. Send the data.

In the user terminal 30 that has received the initial information request data, the skin support application 35a, in STEP 51 of FIG. 6, gives the user Ua the current skin, body, and mental states, and the skin condition requested by the user Ua. A screen prompting the input of is displayed on the display 31. On the other hand, the user terminal 30 transmits the initial user information data including the information input by the user Ua to the skin condition recognition system 10. In STEP 11 of FIG. 4, the skin condition recognition unit 11 receives the initial user information data and recognizes the skin, mind, and body states of the user Ua from the initial user information data, and the skin condition requested by the user Ua. Set the target level (goal) of the skin condition based on.

Here, the initial user information data includes subjective data and objective data regarding the skin condition, the physical condition, and the mental condition. Although detailed definitions will be described later, subjective data is items judged by the user's subjectivity, and objective data is data based on inspection results, image analysis, and factual information. The subjective data of the skin condition is data showing, for example, the degree of satisfaction of the user Ua with respect to the current skin condition in 10 stages. The objective data of the skin condition is the skin image data of the user Ua. In addition to the objective data of the skin condition included in the initial user information data, the objective data of the skin condition may include the analysis data of the stratum corneum cells of the user Ua collected by the keratin collection tape 37. The analysis data of the stratum corneum cells are specifically, for example, data on water retention capacity and sebum eligibility. In this case, the analysis of the stratum corneum cells is performed, for example, by the measuring device 45 connected to the user terminal 30, or the image data of the stratum corneum collection tape 37 is transmitted from the user terminal 30 to the skin condition recognition system 10. The image of the keratin collecting tape 37 may be analyzed on the skin condition recognition system 10 side to measure the water retention capacity, sebum eligibility, and the like.

The satisfaction level of the user Ua is acquired by inputting a questionnaire in the skin support application 35a. The skin image data is image data acquired by the user Ua taking an image of the user Ua's face by an external camera connected to the camera 33 of the user terminal 30 or the connection terminal 40.

Further, the skin support application 35a displays the usage method of the keratin collecting tape 37 on the display 31 to the user Ua, and urges the user Ua to use the keratin collecting tape 37 and to mail it separately. The skin support application 35a may urge the user Ua to use the keratin collecting tape 37 and capture a skin image so that the captured image is transmitted to the skin condition recognition system 10.

As shown in FIG. 8, the skin condition recognition unit 11 sets the initial value of the skin condition to, for example, a subjective score of 3, a skin image score of 3, a water retention capacity score of 2, and a sebum eligibility score of 1. The total value is used as the skin condition score. The score may be expressed as a decimal number or a negative number instead of a positive integer.

Recognition of the water retention capacity score and the sebum eligibility score by analysis of the stratum corneum cells is called the first recognition method. The first recognition method is at least one of a method of measuring the water content of the user's skin with a stratum corneum moisture meter and a method of measuring the sebum content of the user's skin with a sebum meter. including. Further, in order to periodically recognize the user's skin by the first recognition method, the skin condition recognition unit 11 periodically sends a message urging the user terminal 30 to use the keratin collecting tape 37 or the like. To encourage the user to take action. At this time, "regular" does not have to be strictly equidistant in time, and may be equidistant as long as the skin condition is not affected. For example, when the first recognition method is implemented every three months, if the first recognition method is implemented on January 1, not only April 1 just three months later, but also March one week before that, for example. A message may be sent to the user terminal 30 around 24 days, or for example, a message may be sent to the user terminal 30 around April 8 one week later. In addition, when providing services over the long term, for example, when you want to investigate minor improvements, set the first recognition method every month, and every three months to investigate the effect of seasonal changes on the skin condition. The recognition timing can be changed, such as by setting the first recognition method.

Each of the recognition of the subjective score based on the subjective data of the skin condition by the input of the questionnaire and the recognition of the skin image score based on the skin image data of the user Ua is referred to as the second recognition method. As the second recognition method, the skin condition of the user Ua may be recognized by either the recognition of the subjective score based on the subjective data of the skin condition by the input of the questionnaire and the recognition of the skin image score based on the skin image data of the user Ua. , Different methods may be included. Moreover, the second recognition method is performed more frequently than the first recognition method. This is because the use and mailing of the keratin collecting tape 37 is troublesome, complicated, and expensive. Further, if the keratin collecting tape 37 is frequently used, the skin of the user Ua may be adversely affected.

For example, the first recognition method is carried out every three months, and the second recognition method is carried out every day. Further, when the timings of the first recognition method and the second recognition method overlap, it is preferable that the first recognition method is carried out at the same timing, because accurate data can be obtained. However, the present invention can be implemented and the effect can be obtained even if the second recognition method is not implemented when the first recognition method is implemented.

The subjective score may be any score recognized based on the subjective data.

The subjective data and the objective data of the physical condition are separated as shown in FIG. The detailed definition will be described later, but like the subjective data and the objective data of the skin, the subjective data is the item determined by the subjectivity of the user Ua, and the objective data is the data based on the inspection result, the image analysis, and the fact information. The subjective data of the physical condition is acquired by the user Ua inputting a questionnaire through the skin support application 35a. The objective data is image data of the tongue and lips of the user Ua captured by the user Ua using the camera 33 of the user terminal 30, and the user Ua measured by the measuring device 45 connected to the connection terminal 40 of the user terminal 30. It is the measurement data of blood pressure, arrhythmia, urinary component, blood component and the like, and the data such as the number of times of poor physical condition such as headache or stiff shoulder and the degree of fatigue determination acquired by inputting a questionnaire in the skin support application 35a. In preparation for future development of services other than skin care, information on the occurrence of various diseases may be included in the initial user information data.

The subjective data and the objective data of the mental state are separated as shown in FIG. The detailed definition will be described later, but like the subjective data and objective data of the skin, the subjective data is the item judged by the subjectivity of the user Ua, and the objective data is the data based on the inspection result, the image analysis, and the fact information. .. The subjective data is acquired by inputting a questionnaire in the skin support application 35a. The objective data is acquired by inputting a questionnaire (frequency of laughing in a day, etc.) in the skin support application 35a and measuring with a measuring device (estimation of psychological state from pulse monitoring, etc.). In preparation for the development of services other than skin care in the future, information on the occurrence of various mental illnesses may be included in the initial user information data.

The skin condition recognition unit 11 stores the subjective data and objective data of the recognized user Ua's skin, body, and mental state in the support DB 20.

The skin condition recognition unit 11 is as shown by the triangle on the right side of FIG. 8 based on the subjective data and the objective data of the skin condition, the body condition, and the mental state of the user Ua recognized from the initial user information data in this way. The initial values of the three axes represented by the scores of 1 to 9 for the skin condition, 1 to 6 for the body condition, and 1 to 6 for the mental condition are set. Similar to the skin condition score, the body condition or mental condition subjective score and objective score are calculated from the subjective data and objective data of the physical condition or mental condition, and the physical condition score and the mental condition score are calculated based on them. May be treated as.

Further, the measure group selection unit 12 acquires the “desired skin level”, “measure category, hope, frequency” and “current measure” included in the initial user information data. The "desired skin level", "measure category, hope, frequency" and "current measures" are input by the user Ua by the skin support application 35a.

Here, in the "want to become skin level", "want to become skin" means improvement of dryness, stiffness, sensitive skin, acne, deflation, age spots, wrinkles, sagging, dullness, dark circles, etc. It is a target for improving skin condition selected from complexion improvement and firmness improvement. The "level" is the degree of satisfaction of the user Ua with respect to the skin condition of each target, and is a level selected by the user in 10 stages of 1 to 10 in the skin support application.

The support DB 20 stores the improvement tendency of the subjective state and the improvement tendency of the objective state of the skin condition associated with each improvement target. For example, as shown in FIG. 11C, "improvement of dryness" includes minimizing the difference between the subjective condition of skin condition "improvement of dryness" and the standard of objective condition of skin condition "water retention capacity and sebum eligibility". Is associated with.

For example, when the "desired skin" is "improvement of dryness" and the satisfaction level of the dryness of the current skin condition is 3, it is associated with "improvement of dryness" according to the selection of the user Ua. Satisfaction level 5 for the subjective state "improvement of dryness" of the skin condition of the user Ua is set as a subjective target level.

In addition, the measure group selection unit 12 sets an objective improvement target for the skin condition associated with "improvement of dryness". For example, the measure group selection unit 12 is lower than the water retention capacity of the skin condition of the user Ua based on the criterion "minimize the difference between the water retention capacity and the sebum eligibility" associated with "improvement of dryness". A sebum eligibility value of 2 is set as an objective target level.

In addition, in the "category of measures, hope, frequency", the category is "dietary habits, behavior at home, exercise, how to use cosmetics", etc., and the hope is "difficulty, time constraints, scenes of skin care", etc. As the frequency, "the number of times to receive advice per day" or the like is selected.

The "currently implemented measure" is a measure already taken by the user Ua, and is represented by the content, frequency, or degree of "immersing in a bathtub" or the like.

[E. Schedule determination process]
The process of "2. Schedule determination" shown in FIG. 3 is executed by the measure group selection unit 12 and the measure information transmission unit 13. The measure group selection unit 12 selects a measure group for achieving the goal (subjective target level and objective target level) in STEP 12 of FIG. This selection is made in consideration of the improvement tendency of the subjective state of the skin condition, the improvement tendency of the objective state of the skin condition, and the suitable surrounding environment associated with each of the above-mentioned improvement targets. The measure group selection unit 12 determines the temperature, humidity, etc. of the surrounding environment of the user Ua during the schedule period based on the position information detected by the area or GPS sensor registered in advance and the date and time acquired from the clock function of the terminal. Predict.

For example, in the measure group selection unit 12, the category hope is "behavior at home, eating habits, exercise", and the humidity is predicted to be 50% on average, such as during the rainy season, which is a subjective goal. When the level is "dryness" satisfaction level 5 or higher and the objective target level is sebum eligibility 2 or higher, the subjective state improvement tendency includes "dryness improvement" and the objective state improvement tendency is "sebum eligibility". Select a measure that includes "improvement of sex" and is one of "behavior at home, eating habits, exercise" in the category, and the suitable surrounding environment is consistent with humidity of 50%.

Here, the improvement tendency of the subjective state and the improvement tendency of the objective state may be determined in advance by an expert such as the person in charge T, or may be implemented by other users Ub and Uc stored in the support DB 20. It may be an improvement tendency of the subjective state and an improvement tendency of the objective state estimated based on the measures taken and the time-series change of the skin condition of other users Ub and Uc, or the measures taken and the skin condition of the user Ua. When the time-series change of is stored in the support DB 20, it may be an improvement tendency of the subjective state and an improvement tendency of the objective state estimated based on the information.

For example, in the support DB 20, the measures implemented by each of the other users Ub and Uc, and the time-series changes in the subjective data of the skin condition of each of the other users Ub and Uc before and after the measures are implemented, and other information. One or both of the time-series changes in the objective data of the skin condition for each of the users Ub and Uc are stored.

Further, for example, in the support DB 20, the measure "Take a bath" implemented by each of the other users Ub and Uc and the subjective state of the skin condition of each of the other users Ub and Uc before and after the measure is implemented. It is assumed that "satisfaction with the feeling of dryness" as a time-series change is memorized.

At this time, the measure group selection unit 12 determines the subjective data (dryness feeling) of the skin condition on the day before the bathtub and the day when the bathtub is used, for example, regarding the measure "immerse in the bathtub" for each other user Ub and Uc. Satisfaction with) is calculated. Then, the measure group selection unit 12 takes an average value of the amount of change in the degree of satisfaction with respect to the feeling of dryness for each of the other users Ub and Uc. For example, when the average value of the change amount of the "satisfaction with the feeling of dryness" is equal to or more than a predetermined value, the measure group selection unit 12 "improves the feeling of dryness" for the improvement tendency of the subjective state of the measure "immerse in the bathtub". Recognize that. The improvement tendency of the objective state can be recognized in the same way as the improvement tendency of the subjective state.

The measure group selection unit 12 may narrow down the range of other users Ub and Uc to be processed, such as the same age group and the same skin condition, based on the age and skin condition of the user Ua.

Further, when the measure implemented in the support DB and the time-series change of the skin condition of the user Ua are stored in the measure group selection unit 12, the measure group selection unit 12 is estimated based on the information calculated in the same manner as above. You may recognize the improvement tendency of the subjective state and the improvement tendency of the objective state.

In the first schedule determination process of the user Ua, the measure group selection unit 12 recognizes the improvement tendency of the subjective state and the improvement tendency of the objective state from the subjective data and the objective data of the skin condition of other users Ub and Uc. However, in the second schedule determination step of the user Ua, the improvement tendency of the subjective state and the improvement tendency of the objective state may be recognized from the subjective data and the objective data of the skin condition of the user Ua.

The measure group selection unit 12 recognizes the improvement tendency of the subjective state and the improvement tendency of the objective state not only for the skin state but also for the mental state and the physical state, and the improvement tendency of the subjective state of the mental state and the physical state and the improvement tendency of the physical state. Measures may be selected in consideration of the tendency of improvement in the objective state.

The measure group selection unit 12 may exclude measures having the same content and frequency or the same degree as the “current measures” from the measure group. This is because it is not necessary to propose the measures that the user has already taken.

In the example of FIG. 11A, the measure group selection unit 12 selects a measure group that is a combination of a plurality of measures so as to include "take a bath", "vitamin C intake", "vegetable intake", and "walk 10,000 steps or more". ..

The measure information transmission unit 13 evaluates the priority of the measure according to the "category, hope, frequency of the measure" of the user Ua from the measure group, and determines the initial measure according to the priority. FIG. 12 shows an example of a schedule in which "take a bath", "vegetable intake", and "walk 10,000 steps or more" are selected as initial measures. The measure information transmission unit 13 transmits schedule data indicating the contents of the schedule determined in this way to the user terminal 30.

The measure information transmission unit 13 also creates a plan for implementing each process for a certain period based on the designation of the user Ua. In FIG. 11B, goals are set and schedules are determined at START, daily monitoring is performed, schedules are revised weekly, a progress graph is created one month later, goal judgments and new goals are determined in the third month. A plan for a series of events to configure is shown. In addition to or in place of the user Ua's designation, the measure information transmission unit 13 may use a predetermined plan for implementing each process for a certain period of time.

When the user terminal 30 receives the schedule data from the skin condition recognition system 10 in STEP 52 of FIG. 6, the skin support application 35a has the schedule execution table as shown in FIG. 12 and the work contents as shown in FIG. 11B. The plan can be displayed to encourage the user Ua to implement each measure. In the execution table of the schedule of FIG. 12, the contents of each measure (“take a bath”, “vegetable intake”, “walk 10,000 steps or more”) are displayed.

[F. Monitoring process]
The process of "3. Monitoring" shown in FIG. 3 is executed by the skin condition recognition unit 11 and the measure information transmission unit 13 every period set by the user Ua on the skin support application 35a (every day in FIG. 11B). .. The user Ua who has started to use the skin support application 35a uses the user terminal 30 to check the daily skin, body, and mental states, the implementation status of the measures instructed by the schedule, and the users other than the measures instructed by the schedule. Enter the implementation status of Ua's voluntary actions (actions outside the policy). The implementation status of the measures includes information indicating whether or not "take a bath", "vegetable intake", and "walk 10,000 steps or more", as well as "30 minutes", "take a bath", and "300g". ”And“ ingest vegetables ”,“ 15,000 steps ”and“ walking ”, etc., the degree of implementation of measures expressed in terms of time, amount, etc. is included.

When the skin, body, and mental state are input by the user Ua in STEP 53 of FIG. 6, the skin support application 35a proceeds to STEP 60, and similarly to the above-mentioned initial user information data, the skin, body, and skin of the user Ua. The current user information data including subjective data and objective data about the state of mind is transmitted to the skin condition recognition system 10 and processed in STEP 54. If the skin, body, and mind states are not input by the user Ua in STEP 53 of FIG. 6, the skin support application 35a proceeds to STEP 54 as it is. The data transmitted here does not include data on stratum corneum cells collected by the stratum corneum collection tape 37.

Further, the skin support application 35a advances the process to STEP 61 when the schedule execution status (execution status of each measure) is input by the user Ua in STEP 54 of FIG. 6, and displays the execution status data indicating the schedule execution status. It is transmitted to the skin condition recognition system 10 and the process proceeds to STEP 55 in FIG. When the schedule execution status (execution status of each measure) is not input by the user Ua in STEP 54 of FIG. 6, the skin support application 35a proceeds to STEP 55 as it is.

Further, the skin support application 35a advances the process to STEP 62 when the implementation status of the non-measure action is input by the user Ua in STEP 55 of FIG. 7, and the non-measure action implementation data showing the content of the implemented non-measure action is shown. Is transmitted to the skin condition recognition system 10 and the process proceeds to STEP56. The skin support application 35a proceeds to STEP 56 as it is when the implementation status of the non-measure action is not input by the user Ua in STEP 55 of FIG. 7.

STEP13 to STEP16 in FIG. 4 and STEP20 to STEP22 in FIG. 4 are processes by the measure information transmission unit 13. When the skin condition recognition unit 11 receives the current user information data from the user terminal 30 in STEP 13, the process proceeds to STEP 20, the current user information data is accumulated in the support DB 20, and the process proceeds to STEP 14. When the skin condition recognition unit 11 does not receive the current user information data from the user terminal 30 in STEP 13, the skin condition recognition unit 11 proceeds to the process as it is in STEP 14.

Further, the measure information transmission unit 13 proceeds with processing in STEP 21 when the execution status data is received from the user terminal 30 in STEP 14, stores the execution status data in the support DB 20, and proceeds with processing in STEP 15. On the other hand, if it is determined in STEP 14 that the execution status data has not been received from the user terminal 30, the process proceeds to STEP 15 as it is.

Further, the measure information transmission unit 13 proceeds to STEP 22 when receiving the non-measure action implementation data from the user terminal 30 in STEP 15, stores the non-measure action implementation data in the support DB 20, and processes it in STEP 16 of FIG. Proceed. On the other hand, when the measure information transmission unit 13 does not receive the non-measure action implementation data from the user terminal 30 in STEP 15, the process proceeds to STEP 16 of FIG. 5 as it is.

Moving to FIG. 5, in STEP 16, the measure information transmission unit 13 is based on the initial user information data of the user Ua, the current user information data, the execution status data, the non-measure action implementation data, etc. accumulated in the support DB 20. Progress table data indicating the progress status of the schedule is created, and this progress table data is transmitted to the user terminal 30.

Here, as shown in FIG. 12, for example, the progress table of the schedule shows the level of skin condition (here, dry skin), the level of physical condition, the level of mental condition, and measures (ingestion of bathtub, vegetables) in order from the top. The implementation status (ingestion, walking 10,000 steps or more), living information (vegetable intake, water intake), and special living cases are displayed on a daily basis.

In addition, the schedule progress table includes the degree of implementation of the measures ("30 minutes" bathtub, "300 g" vegetable intake, "15,000 steps" walking).

In the user terminal 30, when the skin support application 35a receives the progress table data transmitted from the skin condition recognition system 10 in STEP 56 of FIG. 7, the process proceeds to STEP 63 and the progress table data is held in the memory 36. The skin support application 35a displays the progress table shown in FIG. 12 on the display 31 of the user terminal 30 by using the progress table data stored in the memory 36.

Further, in addition to the progress table data, the skin support application 35a has the initial user information data, the current user information data, and the execution status data of the user Ua stored in the support DB 20 of the skin condition recognition system 10 recognized via communication. , Information indicating the transition or change of each state of the skin, body, and mind of the user Ua is displayed on the display 31 of the user terminal 30 by using the non-measure action implementation data or the like.

For example, as shown in FIG. 13, the skin support application 35a includes the user's behavior (change of face washing method, massage, etc.) and the user's physical condition (physiology, lack of sleep, etc.) other than the measures according to the schedule. , The relationship between changes in the skin condition of the user Ua is displayed on the display 31 as a daily time-series graph.

In addition, as shown in FIG. 14, the skin support application 35a changes the skin condition including the keratin state of the user Ua, the psychological condition, the satisfaction level of skin care, and the evaluation value of how to use the cosmetics on a monthly basis. The contrasting radar chart is displayed on the display 31.

The user Ua visually recognizes these displays by the skin support application 35a and confirms the change in each state of his / her skin, body, and mind, thereby grasping the change in the state of body and mind as well as the degree of improvement of the skin. Therefore, it is possible to reach the goal of the target skin condition while improving the skin, body, and mind condition in a well-balanced manner.

Further, the skin support application 35a proceeds to STEP64 after STEP63, and executes the simulator display process shown in FIG. The details of the simulator display processing will be described later.

[G. Schedule correction]
The process of "4. Schedule correction" shown in FIG. 3 is executed by the measure information transmission unit 13 every period set by the user Ua on the skin support application 35a (every week in FIG. 11B). STEP17 to STEP20 and STEP30 to STEP33 in FIG. 5 are processes by the measure information transmission unit 13.

In STEP 17, the measure information transmission unit 13 is incorporated into the target achievement degree and schedule of the user Ua skin condition based on the initial user information data, the current user information data, the execution status data, etc. of the user Ua accumulated in the support DB 20. Evaluate the degree of implementation of each measure and the effect of each measure.

The measure information transmission unit 13 extracts the correlation between the skin condition and the physical or mental condition using the evaluation criteria of the measures shown in FIG. 15A, and based on this correlation, each measure incorporated in the schedule. Judgment of continuation, exclusion from the measure group, cancellation of the measure, change to another measure.

In the evaluation criteria of FIG. 15A, four items are used as judgment items: presence / absence of implementation, effect on skin, effect on body, and effect on mind, and the implementation rate exceeds the predetermined implementation rate, which has a positive effect on the skin. Measures that are present and that do not have a negative effect on the body and mind are evaluated as A and are judged to be continued. In addition, in FIG. 15A, the measure whose implementation rate exceeds the predetermined implementation rate is described as "implementation", and the measure whose implementation rate is less than or equal to the predetermined implementation rate is described as "non-implementation". The same applies to FIGS. 12 and 15B.

When the timing of the impact of the measure and the period for which the impact continues are set for each measure, the measure information transmission unit 13 determines the impact of each measure based on the timing of the impact of the measure and the period during which the effect of the measure continues. You may judge.

For example, if it is stipulated that the effect of the measure of "immersing in a bathtub" on the skin, the body, and the mind will be affected the next day and will continue for only one day, the measure information transmission unit 13 will For example, it is judged that the influence of the measure of "immersing in a bathtub" on December 15 is reflected in each state on December 16.

In addition, if it is stipulated that the effect of the measure of "vegetable intake" on the skin, the body, and the mind will be affected after one week and will continue for only three days, the measure information transmission unit 13 will be notified. For example, it is judged that the influence of the measure of "vegetable intake" on December 15 is reflected in each state from December 22 to December 24.

On the other hand, measures that are implemented and have a positive effect on the skin but have a negative effect on either the body or the mind are evaluated as B and are judged to be canceled or changed to another measure. In addition, since it is considered that the measure whose implementation rate is less than the predetermined implementation rate has a heavy load on the user Ua, it is evaluated as C and canceled or another measure (for example, a measure to reduce the load on the user Ua or another measure). Measure) is judged to be a change.

The measure information transmission unit 13 may evaluate whether each measure has a positive or negative effect on the skin, body, and mind by implementing each measure for only one day, or in a certain period such as several days or several weeks. By implementing each measure, it may be evaluated whether it has a positive or negative effect on the skin, body and mind. When the evaluation is performed in a certain period, for example, the measure information transmission unit 13 gives a B evaluation when any of the states is adversely affected at a certain ratio, a C evaluation when the implementation ratio is below a certain ratio, and other cases. In the case of, it may be evaluated as A. Instead of this, the measure information transmission unit 13 may be evaluated as B when, for example, the average value of satisfaction in any of the states in a certain period is equal to or less than a predetermined value. In addition, if the satisfaction level of any of the states in one day is less than or equal to the predetermined value and the average value of the satisfaction levels of any of the states in a certain period is less than or equal to the predetermined value, the evaluation is C and any of the evaluations in one day. If the satisfaction level of one of the states is below the specified level, or if the average value of the satisfaction level of any of the states is below the specified level, the rating is B, and the satisfaction level of any of the states in one day is specified. If the value is exceeded and the average value of satisfaction in any of the states exceeds a predetermined value, the evaluation may be A, and the evaluation for one day and the evaluation for a certain period may be used in combination. ..

Further, when the improvement degree of the skin condition score shown in FIG. 8 is equal to or less than the predetermined improvement degree, the measure information transmission unit 13 implements a measure in which the improvement degree of the skin condition score is equal to or less than the predetermined improvement degree. It may be excluded from the measure group. The measure information transmission unit 13 sets a measure group in which the improvement degree of the physical condition or the mental state score is less than or equal to the predetermined improvement degree when the improvement degree of the physical condition or the mental state score is less than or equal to the predetermined improvement degree. May be excluded from.

FIG. 15B shows an example in which the evaluation criteria shown in FIG. 15A are applied to the measures in the present embodiment (soaking in a bathtub, ingesting vegetables, walking 10,000 steps or more). According to FIG. 15B, the measure information transmission unit 13 decides to continue on the next schedule with "use in the bathtub" as an A evaluation, and excludes "vegetable intake" from the measure group as a B evaluation. Decided to cancel or change to another measure on the schedule, and "walk 10,000 steps or more" is evaluated as C, excluded from the measure group, canceled on the next schedule or changed to another measure. I have decided.

The measure information transmission unit 13 determines the influence of a plurality of measures for each combination of those measures. For example, if the combination of "soak in the bathtub" and "vegetable intake" is B evaluation or C evaluation, the measure information transmission unit 13 decides only one measure of "soak in the bathtub" or "vegetable intake". , Or it may be changed to be a combination of any of these measures and another measure.

The measure information transmission unit 13 performs such an evaluation process, determines the necessity of schedule revision (mainly correction by changing to other measures of the measure group), and when it is determined that schedule revision is necessary, processes it in STEP30. To correct the schedule. Then, the schedule correction data, which is the data of the corrected schedule, is transmitted to the user terminal 30, and the ST
Proceed to EP19. On the other hand, when it is determined that the schedule revision is unnecessary, the measure information transmission unit 13 proceeds from STEP 18 in FIG. 5 to STEP 19 in FIG. 5, and in this case, the schedule is not revised.

Next, the measure information transmission unit 13 is incorporated in each non-measure action (scheduled) performed by the user Ua based on the initial user information data, the current user information data, the non-measure action implementation data, etc. in STEP 19. In addition to the measures, the actions taken by the user) are evaluated.

The measure information transmission unit 13 determines whether or not to recommend or prohibit the non-measure action by using the evaluation criteria of the non-measure action shown in FIG. 16A. In the evaluation criteria of FIG. 16A, the influence on each state of the skin, body, and mind is used as a determination item.

If "there is a positive effect on the skin, body, or mind, and there is no negative effect on any of them," a D rating is recommended. On the other hand, if "it has a bad effect on the skin, body, or mind", it will be evaluated as E and prohibited. In addition, if "there is no effect on the skin, body, or mind", it will be evaluated as F and implementation is not recommended.

FIG. 16B shows an example in which the evaluation criteria shown in FIG. 16A are applied to the out-of-measure behavior (massage received, ingested a large amount of chocolate) in the present embodiment. According to FIG. 16B, the measure information transmission unit 13 has decided to recommend the implementation according to the following schedule as a D evaluation for "receive a massage". In addition, regarding "large amount of chocolate intake", as an E evaluation, it has been decided to propose measures to stop it in the next schedule (for example, alternatives to ingesting Japanese sweets).

When the measure information transmission unit 13 decides to recommend or prohibit the implementation of the measures incorporated in the schedule, such as cancellation or change, or actions outside the measures, the process proceeds from STEP 20 to STEP 31. Then, when the recommendation is decided, the process proceeds from STEP 31 to STEP 33, the non-measure action recommendation data for recommending the implementation of the non-measure action is transmitted to the user terminal 30, and the process proceeds to STEP 13 in FIG.

On the other hand, when the measure information transmission unit 13 decides the prohibition proposal, the process proceeds from STEP 31 to STEP 32, and the non-measure action prohibition data proposing the prohibition of the non-measure action is transmitted to the user terminal 30, and FIG. Proceed to STEP13.

Further, the measure information transmission unit 13 proceeds from STEP 20 to STEP 13 of FIG. 4 when there is no action outside the measure that proposes recommendation or prohibition. If there is an alternative action in the non-measure action that proposes prohibition, the non-measure action prohibition data that proposes a change to the alternative action may be transmitted to the user terminal 30 instead of the prohibition proposal.

When the skin support application 35a receives the schedule correction data from the skin condition recognition system 10 in STEP 57 of FIG. 7, the skin support application 35a proceeds to STEP 65 and corrects the schedule based on the schedule correction data. Then, the skin support application 35a updates the schedule data held in the memory 36, and advances the process to STEP 58.

Further, when the skin support application 35a receives the non-measure action recommendation data or the non-measure action prohibition data from the skin condition recognition system 10 in STEP 58 of FIG. 7, the process proceeds to STEP 66, and the non-measure action is performed according to the received data. A screen for notifying a proposal for recommending or prohibiting an action is displayed on the display 31 of the user terminal 30. Note that this notification may be performed by displaying a notification message on the progress table shown in FIG. 12, for example. In addition, the schedule may be revised as a new measure for the recommended non-measure action.

[H. Goal judgment process]
In the process of "5. Goal determination" shown in FIG. 3, every period set by the user Ua on the skin support application 35a (3 months after START in FIG. 11B), the skin condition recognition unit 11 and the measure group It is executed by the selection unit 12 and the measure information transmission unit 13.

The skin support application 35a displays a message prompting the use of the keratin collecting tape 37 and the mailing of the keratin collecting tape 37 on the display 31 of the user terminal 30.

The skin condition recognition unit 11 recognizes objective values of skin condition (water retention capacity, sebum eligibility, etc.) based on the information obtained from the mailed keratin collection tape 37.

In addition, the skin support application 35a displays a message prompting the use of a questionnaire response and imaging of the skin or the like on the display 31 of the user terminal 30, and transmits the obtained information.

The skin condition recognition unit 11 recognizes the subjective value (subjective level) of the dryness of the skin and the objective value (skin image score) of the skin condition based on the information obtained from the skin support application 35a.

The measure group selection unit 12 and the measure information transmission unit 13 compare the evaluation values at the start of support for the skin condition and after 3 months based on the subjective value of the dryness of the skin and the objective value of the skin condition. Determine the degree of goal achievement.

In the example of FIG. 17, since the level of the subjective value of dryness increased from 3 to 5 in 3 months, it was judged to be achieved (○), and as for the objective value, the skin image score was 3 to 4 in 3 months. It is judged to be achieved (◯) because the water retention capacity is maintained at 2 and the sebum eligibility is increased from 1 to 2. Since both the subjective value and the objective value have achieved the goal, it is judged that the goal has been achieved as a whole.

The skin condition recognition unit 11 and the measure group selection unit 12 re-execute the process of "1. Goal setting" shown in FIG. 3 in order to set a new goal when the goal is achieved. If the goal is not reached, the skin condition recognition unit 11 and the measure group selection unit 12 may carry out the "2. schedule determination" process, or "1. goal setting" according to the user's wishes or progress. The process may be performed again.

[I. Secondary data generation]
The process of "6.2 Secondary data generation" shown in FIG. 3 is executed by the secondary data generation unit 19. The secondary data generation unit 19 includes various data such as initial user information data, stratum corneum cell analysis data, current user information data, execution status data, and out-of-measure action execution data transmitted from a plurality of users U (hereinafter, individual users). Data) is sequentially accumulated in the support DB 20 for each user.

Then, the secondary data generation unit 19 analyzes the user individual data stored in the support DB 20, and as shown in FIG. 18, for example, the characteristics (gender, age, place of residence, preference, lifestyle, etc.) of each user. ), Support improvement targets (dryness, stiffness, sensitivity, acne, deflation, etc.), measures proposed by the schedule (soaking in a bathtub, vegetable intake, walking 10,000 steps or more, etc.), and skin due to implementation of the measures, Generates secondary data that associates changes in each state of the body and mind.

In addition, as for the non-measure behavior, the secondary data generation unit 19 generates secondary data in which the characteristics of each user and the influence of each state of the skin, body, and mind due to the implementation of the non-measure behavior are associated with each other, as in FIG. Generate.

The secondary data generated in this way is effectively utilized when selecting effective measures for improving the skin condition while having a positive effect on the body and mind for users having similar characteristics. be able to. For example, in the process of “2. Schedule determination” in FIG. 3 described above, the measure group selection unit 12 can select a measure suitable for the characteristics of the user Ua by referring to the secondary data.

Further, in the process of "4. Schedule correction" in FIG. 3 described above, the measure information transmission unit 13 changes the schedule according to the transition of each state of the skin, body, and mind of the user Ua, and the secondary data You can change to a schedule that incorporates more effective measures or actions outside the measures by referring to.

Furthermore, the secondary data can be effectively used to support the skin condition, and for marketing purposes targeting users with certain characteristics (for example, outdoor-oriented women in their 30s living in Tokyo). Can also be used. Therefore, the secondary data may be provided to another system 60 or the like shown in FIG.

[J. Simulator display processing]
The details of the simulator display process (STEP 64 in FIG. 7) executed by the skin support application 35a will be described with reference to FIGS. 19 to 24.

In STEP 71 of FIG. 19, the skin support application 35a is "predetermined" based on the initial user information data and the current user information data of the user Ua stored in the support DB 20 of the skin condition recognition system 10 recognized via communication. The average value of each score of the skin condition, the mental condition, and the physical condition of the "period" is recognized and stored in the memory 36. Here, the "predetermined period" is preferably a period to which the relationship between the skin condition, the mental condition and the physical condition and the degree of execution of the measure is shown, for example, one week before the execution time. 10 days, 1 month or 3 months. In the present embodiment, the execution time is assumed to be April 10, 2017, and 10 days from April 1, 2017, 9 days before the execution time, to the execution time will be described as a "predetermined period".

For example, the skin support application 35a is an average value of the skin condition scores of the user Ua based on the skin condition score, the mental condition score, and the physical condition score of the user Ua in a predetermined period as shown in FIG. 20A. , The average value of the mental state score and the average value of the physical state score are recognized and stored in the memory 36. Here, the average value of the skin condition score is 8.2, the average value of the mental condition score is 5.0, and the average value of the physical condition score is 2.2.

In STEP 72 of FIG. 19, the skin support application 35a recognizes each measure based on the initial user information data, the current user information data, and the execution status data stored in the support DB 20 of the skin condition recognition system 10 recognized via communication. Each, the degree of execution for each category of each measure is recognized and stored in the memory 36. The "degree of implementation of measures" is a numerical value indicating the degree of implementation of measures specified for each measure. Examples of "degree of implementation of measures" include time to execute measures, consumption of goods required for measures, distance to execute measures, number of executions of measures per day, execution time per execution of measures, and so on. The amount per implementation of the measure and the frequency of implementation of the measure in a predetermined period are included.

For example, the skin support application 35a recognizes the degree of execution "intake" in a predetermined period of the measure "vegetable intake" of the category "meal" shown in FIG. 20B, and stores it in the memory 36. The degree of execution of the "intake amount" or the like may be the actually acquired data (for example, vegetable intake data) itself, or may be an evaluation value of the actually acquired data. .. For example, this evaluation value may be a value that continuously or intermittently increases as the value shown in the data approaches a predetermined reference value (for example, vegetable intake of 350 g), or the data may include. The larger the value shown, the more continuously or intermittently the value may be, and the smaller the value shown in the data, the more continuously or intermittently the value may be.

As shown in FIG. 21A, the skin support application 35a recognizes the average value and the maximum value of the degree of execution in a predetermined period for each measure, and stores them in the memory 36. The maximum value in a predetermined period may be the maximum value performed by the user Ua, the theoretical maximum value, or a predetermined value.

The skin support application 35a calculates the degree of execution for each category by taking the ratio of the average value and the maximum value of the degree of execution of the measures for each category and calculating these average values, and stores the memory 36 in the memory 36. Remember.

For example, the skin support application 35a determines the degree of execution of the category "meal" by the following formula (1) based on the average value and the maximum value of the degree of execution in the predetermined period for each measure shown in FIG. 21A. evaluate. In equation (1), three digits after the decimal point are rounded off.

In STEP 73 of FIG. 19, the skin support application 35a outputs the entire simulator screen P1 to the display 31 of the user terminal 30a as shown in FIG. 22.

An area P10 surrounded by a triangle is displayed in the center of the simulator as a whole screen P1.

On the outside of the region P10 and around each vertex of the triangle, a display P11 indicating the score of the skin condition, a display P12 indicating the score of the heart condition, and a display P13 indicating the score of the body condition are displayed, respectively.

The region P10 corresponds to the "predetermined region" of the present invention.

The displays P11, P12, and P13 indicating the respective scores include numerical displays P111, P121, and P131, score slide bars P112, P122, and P132, and score icons P113, P123, and P133.

The score slide bars P112, P122, P132 and the score icons P113, P123, P133 correspond to the "display showing the score of at least one of the user's skin condition, mental condition, and physical condition" of the present invention.

The score slide bars P112, P122, and P132 correspond to the "second line segment display" of the present invention.

The score icons P113, P123, and P133 correspond to the "second icon" of the present invention.

The numerical display P111, the score slide bar P112, and the score icon P113 correspond to the "display showing the score of the user's skin condition" of the present invention.

The numerical display P121, P131, the score slide bars P122, P132, and the score icons P123, P133 correspond to the "display showing at least one score of the user's physical state and mental state" of the present invention.

On each of the numerical display P111, P121, and P131, the average value of the corresponding scores recognized in STEP 71 of FIG. 19 is displayed.

Score icons P113, P123, and P133 are displayed on the score slide bars P112, P122, and P132 at positions corresponding to the average values of the corresponding scores recognized in STEP71 of FIG. Further, each score slide bar P112, P122, P132 is a line segment extending in the horizontal direction (horizontal direction of the paper surface) of the display 31 of the user terminal 30a. The horizontal direction of the display 31 corresponds to the "second direction" of the present invention.

Inside the area P10, the categories “meal”, “behavior”, and “skin care” display P14, P15, and P16 of each measure are displayed. Inside the area P10, the category display of all categories may be displayed, the category display of the category specified by the user may be displayed, or the category display of the category of the measure recommended to the user may be displayed. It may be done, or the category display of the category of the measure judged to have a high influence on at least one of the user's skin condition, mental condition and physical condition based on the initial user information data, the current user information data and the execution status. May be displayed in a predetermined number.

Each category "meal" "behavior" "skin care" display P14, P15, P16 includes category slide bars P141, P151, P161 and category icons P142, P152, P162.

The category icons P142, P152, and P162 are displayed on the category slide bars P141, P151, and P161 at positions corresponding to the degree of execution of the corresponding categories recognized in STEP 72 of FIG. Further, each category slide bar P141, P151, P161 is a line segment extending in the vertical direction (vertical direction of the paper surface) of the display 31 of the user terminal 30a. The vertical direction of the display 31 corresponds to the "first direction" of the present invention.

Each category slide bar P141, P151, P161 and each category icon P142, P152, P162 correspond to the "display showing the degree of execution of the user's measure" of the present invention. Each category slide bar P141, P151, P161 corresponds to the "first line segment display" of the present invention. Each category icon P142, P152, P162 corresponds to the "first icon" of the present invention.

In STEP 74 of FIG. 19, the skin support application 35a determines whether or not a pressing operation of any of the category slide bars is detected via the touch panel 32. This operation is described assuming that, for example, one of the category slide bars P141, P151, and P161 of FIG. 22 is operated as a typical usage scene, but a plurality of category slide bars are operated at the same time. May be.

When the determination result of STEP74 in FIG. 19 is negative (STEP74 ... NO in FIG. 19), the skin support application 35a executes the process of STEP74 in FIG. 19 again.

When the determination result of STEP74 in FIG. 19 is positive (STEP74 ... YES in FIG. 19), the skin support application 35a proceeds to STEP75 in FIG. 19, and as shown in FIG. 23, the measure display is performed in the area P10. P17, P18, P19 are displayed.

The measure display P17, P18, and P19 are measures of the category corresponding to the pressed slide bar (hereinafter referred to as a designated category). FIG. 23 describes the measures P17, P18, and P19 of the measures “vegetable intake”, “water intake”, and “three meals properly” when the pressing operation of the “meal” category slide bar P14 is detected.

The measure display P17, P18, P19 may be all measure display, all measures included in the designated category may be displayed, or the measure being executed by the user may be displayed. , The measures recommended to the user may be displayed, and the influence on at least one of the user's skin condition, mental condition and physical condition is high based on the initial user information data, the current user information data and the execution status. The measure display of the measure determined to be may be displayed in a predetermined number. The measure display P17, P18, P19 may be displayed in place of the category display P14, P15, P16, or may be displayed on the category display P14, P15, P16. It may be displayed in an additional form (for example, downward in the category display P14, P15, P16).

The measure icons P172, P182, and P192 are displayed on the measure slide bars P171, P181, and P191 at positions corresponding to the degree of execution of the corresponding measures recognized in STEP 72 of FIG. Further, each measure slide bar P171, P181, P191 is a line segment extending in the vertical direction (vertical direction of the paper surface) of the display 31 of the user terminal 30a.

Each measure slide bar P171, P181, P191 and each measure icon P172, P182, P192 correspond to the "display showing the degree of execution of the user's measure" of the present invention. Each measure slide bar P171, P181, P191 corresponds to the "first line segment display" of the present invention. Each measure icon P172, P182, P192 corresponds to the "first icon" of the present invention.

In STEP 76 of FIG. 19, the skin support application 35a determines whether or not the pressing operation of any of the measure slide bars is detected via the touch panel 32.

If the determination result is negative (NO in STEP76 of FIG. 19), the skin support application 35a executes STEP76 of FIG. 19 again.

If the determination result is affirmative (YES in STEP 76 in FIG. 19), the skin support application 35a proceeds to STEP 77 in FIG. 19 and recognizes the pressed position on the pressed measure slide bar. Pressed measure The pressed position on the slide bar corresponds to the "position of the first icon designated by the user via the input unit" of the present invention. The degree of execution of the measure corresponding to the pressed position on the pressed measure slide bar corresponds to the "degree of execution of the designated measure group" of the present invention. The measures corresponding to the pressed measure slide bar correspond to the "measure group" of the present invention.

In STEP 78 of FIG. 19, the skin support application 35a predicts each score in the degree of execution of the measure corresponding to the pressing position.

Each score is expressed by the following equations (2) to (4).

Here, P (x) is the score of the skin condition of the user Ua, Q (x) is the score of the mental state of the user Ua, and R (x) is the score of the physical condition of the user Ua.

i (i = 1, ..., N) is a number for identifying each measure.

_{x i (i = 1, ...} , n) is the degree of execution of each measure i of the user Ua. _{x i (i = 1, ...} , n) entire denoted a _{(x i (i = 1,} ..., vector comprising all of the n)) as x.

_{f i (x i), g} i (x i), h i (x i) (i = 1, ..., n) , respectively, the user when a respective measures i was executed in the execution degree _{x i} of each measure It is the amount of change of each score P (x), Q (x), R (x) of Ua. _{f i (x i), g} i (x i), h i (x i) (i = 1, ..., n) each of which corresponds to an example of the "first function" of the present invention.

The line graph of FIG. 24 shows the relationship between the degree “intake amount” of each execution of the measure “vegetable intake” of the user Ua and the scores P (x), Q (x), and R (x) of the user Ua. It is a line graph. This line graph is, for example, the average of the scores P (x), Q (x), and R (x) of the user Ua shown in FIG. 20A for each degree of execution of the measures of the user Ua shown in FIG. 20B. Can be created by taking.

Further, in FIG. 24, an approximate curve of each line graph is also displayed.

_{f i (x i), g} i (x i), h i (x i) , for example, each score P of the user Ua shown in approximate curve for each execution degree (x), Q (x) , R ( It can be expressed by x).

For example, if the intake of vegetables intake is _200g, f _{i (x} i) is about 10.0 _becomes, g _{i (x} i) is about 7.0 _becomes, h _{i (x} i) is approximately 2.0 Become.

_{f i (x i), g} i (x i), h i (x i) is the user Ua is taking the average of the scores of the user Ua when carried out each measure, this score , May reflect the impact of other measures implemented at the same time.

Therefore, the degree of influence of each measure is adjusted by _{the coefficients p i} , q _i , and r _i. The coefficients p _i , q _i , and r _i are obtained, for example, by the ratio of the degree of execution of the measure to the degree of execution of each measure. For example, when the measure s is executed at the execution degree a, the measure t is executed at the execution degree b, and the measure u is executed at the execution degree c, when the skin condition score is improved by d, the following formula (5) )-(7) represent the _{coefficients p s} , _pt , _pu. The fact that the skin condition score is improved by d means that the average value of the skin condition score after the implementation of the measure is d higher than the average value of the skin condition score before the implementation of the measure in the present embodiment. do.

k, l, and m are the scores when no measures are implemented.

_{The skin support application 35a recognizes the degree of execution of the measure x i} corresponding to the position of the icon on the measure slide bar for each measure i, and uses the above equations (2) to (4) to make each score P (x). ), Q (x), R (x). Regarding the measures included in the category corresponding to the non-pressed category bar or the measures corresponding to the non-pressed measure slide bar, the skin support application 35a is the corresponding measure recognized in STEP 72 of FIG. The degree of execution is used as the degree of execution of the measure x _i. Each predicted score P (x), Q (x), R (x) corresponds to the "first predicted score" of the present invention. Each predicted score P (x) corresponds to the "second predicted score" of the present invention. Each predicted score Q (x) and R (x) corresponds to the "third predicted score" of the present invention.

In STEP 79 of FIG. 19, the skin support application 35a is located at a position corresponding to each of the predicted scores P (x), Q (x), and R (x) of each of the score slide bars P112, P122, and P132. , Score icons P113, P123, P133 are displayed on the display 31.

After the end of STEP 79 in FIG. 19, the skin support application 35a executes the process of STEP 74 or less in FIG. Instead of this, after the end of STEP 79 in FIG. 19, the skin support application 35a may execute the process of STEP 76 or less in FIG.

By such a process, the user can be made to recognize the influence on each score when the degree of execution of the measure is changed.
(Other embodiments)
In the present embodiment, the equations (2) to (7) are used to predict the score according to the degree of each execution, but these equations and the equations are used to predict the score according to the degree of each execution. Not limited to parameters. In order to improve the accuracy of the simulator, those skilled in the art may appropriately modify the formula, change the parameter calculation method, add, delete, or change the parameter.

When the skin support application 35a detects the pressing of the category slide bar, the measure slide bar of the measure included in the category corresponding to the category slide bar is displayed (STEP 74 and STEP 75 in FIG. 19), but instead of this. , The skin support application 35a may change the position of the icon on the category slide bar to predict each score. In this case, the degree of execution of each measure may be changed evenly or at a predetermined ratio so as to follow the change in the degree of execution of the category. At this time, the skin support application 35a predicts each score by the formulas (2) to (4) from the degree of execution of each measure after the change, and each icon is placed at the position corresponding to each predicted score. Output to the display 31 so that it is located. The measures included in the category corresponding to the pressed category slide bar correspond to the "measure group" of the present invention.

In this case, when the skin support application 35a detects the pressing of the category slide bar via the touch panel 32 with each icon located at the position corresponding to each predicted score, the category slide bar is displayed. The measure slide bar of the measure included in the corresponding category may be displayed. At this time, the position of the icon on each measure slide bar is preferably a position corresponding to the degree of execution of each measure after the change.

Instead of displaying the category slide bar, the skin support application 35a may display the measure displays P20, P21, and P22 as shown in FIG. 25 from the beginning.

As shown in FIG. 26, for example, the skin support application 35a may include a score display P31 to be simulated, other score displays P32 to P33, and a living display P34. The living display P34 is, for example, a display showing an average value of the degree of execution of each category or a value obtained by multiplying the degree of execution of each category by a coefficient for each category. The skin support application 35a changes the degree of execution of each measure according to the change of the icon on the living display P34, predicts the score of the simulation target by the equations (2) to (4), and displays the score of the simulation target. The icon on P31 may be changed. The living display P34 corresponds to the "display showing the degree of execution of the user's measure group" of the present invention, and the other score displays P32 to P33 correspond to the "display showing the fluctuation score" of the present invention, and the score to be simulated. The display P31 corresponds to the "display showing a simulated score" of the present invention.

In this case, the skin support application 35a is a graph similar to FIG. 24 based on the data of the score of the skin condition, the mental state and the physical condition of the user Ua according to the fluctuation of the icon on the other score displays P32 to P33. By creating the above, the score of the simulation target may be predicted and the icon on the score display P31 of the simulation target may be changed. The score display P31 of the simulation target after the fluctuation corresponds to the "display showing the simulated prediction score" of the present invention.

In the present embodiment, all the simulations of the skin condition, the mental state, and the physical condition of the user Ua are performed, but even if the skin condition and one of the mental condition and the physical condition are simulated by the same method. Alternatively, one of the skin condition, the mental condition and the physical condition may be simulated. In addition, simulations regarding other states of user Ua may be performed.

In the present embodiment, the first to third functions indicating the relationship between the degree of execution of the past measures of the user Ua and the skin condition, the mental state, and the physical condition of the user Ua are recognized, but the present invention is not limited to this. , The first function to the third function may be recognized based on the data of other users Ub and Uc. Further, among other users Ub and Uc, the data of the user having the same attributes as the attributes of the user Ua may be used. The attributes of the user Ua include, for example, the age, gender, area of residence, preference, skin characteristics, mental characteristics, and body characteristics (genetic information, etc.) of the user Ua.

In the present embodiment, the score slide bar, the category slide bar, and the measure slide bar extend in orthogonal directions, but the present invention is not limited to this, and they may extend in non-parallel directions or extend in parallel directions. May be.

In the present embodiment, the degree of implementation of the measure is displayed by the category slide bar, the measure slide bar, the category icon, and the measure icon, but instead of or in addition to this, a numerical value indicating the degree of execution of the measure may be displayed. In addition, colors, figures, characters, and the like that change according to the degree of implementation of the measures may be displayed.

Similarly, for the score of each state, colors, figures, characters, etc. that change according to the score of each state may be displayed.

In the present embodiment, the CPU 35 executes each process of the "score recognition unit", "output control unit", and "designated recognition unit" of the present invention by executing the skin support application 35a, but instead of this, via a network. By communicating and transmitting and receiving necessary data, the skin condition support system may execute some processes of the "score recognition unit", "output control unit", and "designated recognition unit" of the present invention.

In the present embodiment, the "function" is a function that outputs information such as a numerical value such as a scalar value or a vector value by performing a certain operation in response to input of information such as a numerical value such as a scalar value or a vector value. Say what you have prepared. In this embodiment, measures i for each function _{f i (x i), g} i (x i), but h i _{(x i)} is used, instead of or in addition to this, a plurality of measures i, j Functions f _{(i, j)} (x _i , x _j ), g _{(i, j)} (x _i , x _j ) _, h _{(i, j)} (x _i , x _j ) for the combination of May be good. Further, in the present embodiment, the function is used for each score of each state, but instead, a common function may be used for a plurality of scores. Further, the function may be classified by machine learning, for example. _{In addition to the degree of execution x i} of each measure i, each function may input a numerical value different from _{the degree of execution x i} of each measure i, such as a numerical value indicating the physical condition or mood of the user Ua.

The skin support application 35a may recognize the score of each state by referring to the table based on the input value.

The skin support application 35a may recognize the score of each state by transmitting the input value to the skin state recognition system 10 and receiving the score of each state.

In the present embodiment, the skin support application 35a predicts the score according to the designation of the degree of execution of the measure or category, but instead of or in addition to this, the degree of execution of the measure or category according to the designation of the score. May be predicted. For example, the skin support application 35a may allow the user Ua to select one measure or category via the touch panel 32, and predict the degree of execution of the one measure according to the designation of the score. Further, the skin support application 35a causes the user Ua to input the rate of change of each measure or category via the touch panel 32, and changes the degree of execution of each measure by the input rate according to the designation of the score. Therefore, the degree of implementation of each measure may be predicted. For example, the skin support app 35a may vary the sleep time and vegetable intake so as to achieve a specified score at a rate that the vegetable intake increases by 100 g per hour of sleep time decrease.

The present invention is also realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiment is supplied to the system or device via a network or various storage media, and the computer (or CPU, MPU, etc.) of the system or device reads the program. This is the process to be executed.

1 ... Communication network, 10 ... Skin condition recognition system, 11 ... Skin condition recognition unit, 12 ... Measure group selection unit, 13 ... Measure information transmission unit, 19 ... Secondary data generation unit, 20 ... Support DB (database), 30 (30a, 30b, 30c) ... user terminal (smartphone), 31 ... display, 32 ... touch panel, 33 ... camera, 34 ... microphone, 35 ... CPU, 35a ... skin support application, 36 ... memory, 40 ... connection terminal, 45 ... Measuring equipment.

Claims (9)

An image display unit for outputting information,
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. and a control unit, a
The output control unit, before Symbol image display unit
It is a line segment for indicating the degree of execution of the measure group, and the degree of execution of the measure group is higher toward one end of the line segment, and the other end of the line segment is shown. The first line segment display indicating the state in which the degree of execution of the measure group is low is output toward the department.
The first icon is output at the position on the first line segment display corresponding to the value of the degree of execution of the user in the measure group recognized by the score recognition unit.
A line segment for indicating the height of each of the skin score, the heart score, and the body score, and the skin score, the heart score, and the body score are each toward one end of the line segment. The second line segment display, the third line segment display, and the fourth line segment show a high state, and the skin score, the heart score, and the body score are each lower toward the other end of the line segment. Output the minute display,
A second icon is output at a position on the second line segment display corresponding to the skin score recognized by the score recognition unit, and the third line segment display corresponding to the heart score recognized by the score recognition unit is displayed. The third icon is output at the position of, and the fourth icon is output at the position on the fourth line segment display corresponding to the body score recognized by the score recognition unit. An image display device characterized by. In the image display device according to claim 1,
In the output control unit, the first line segment display extends in the first direction, and the second line segment display, the third line segment display, and the fourth line segment display are orthogonal to the first direction in the second direction. An image display device characterized in that the first line segment display and the second line segment display are arranged and displayed so as to extend to. In the image display device according to claim 1 or 2.
The output control unit, before Symbol image display unit
The second line segment display, the third line segment display, and the fourth line segment display are output at positions corresponding to the vertices of the triangle, respectively, and
The first line segment display is configured to be output inside the area represented by the line segment connecting the vertices.
An image display device characterized by this. An image display unit for outputting information,
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. and a control unit, a
The output control unit, before Symbol image display unit
The skin score, the heart score, and the display showing the body score recognized by the score recognition unit are output at positions corresponding to the vertices of the triangle, respectively.
The display showing the value of the degree of execution of the measure group recognized by the score recognition unit is configured to be output on the same screen as the display showing the skin score, the heart score, and the body score. An image display device characterized by <br />. In the image display device according to claim 4,
The output control unit is attached to the image display unit.
The display showing the value of the degree of execution of the measure group recognized by the score recognition unit is configured to be output inside the area represented by the line segment connecting the vertices.
An image display device characterized by this. An image display unit for outputting information,
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. For a system equipped with a control unit
A step in which the score recognition unit recognizes the value of the degree of execution of the user in the measure group, the skin score, the heart score, and the body score of the user.
The output control unit, before Symbol image display unit
It is a line segment for indicating the degree of execution of the measure group, and the degree of execution of the measure group is higher toward one end of the line segment, and the other end of the line segment is shown. A step to output a first line segment display indicating a state in which the degree of execution of the measure group is lower toward the department, and
A step of outputting the first icon at a position on the first line segment display corresponding to the value of the degree of execution of the user of the measure group recognized by the score recognition unit.
A line segment for indicating the height of each of the skin score, the heart score, and the body score, and the skin score, the heart score, and the body score are each toward one end of the line segment. The second line segment display, the third line segment display, and the fourth line segment show a high state, and the skin score, the heart score, and the body score are each lower toward the other end of the line segment. Steps to output the minute display and
The second icon is output at the position corresponding to the skin score recognized by the score recognition unit on the second line segment display, and corresponds to the heart score recognized by the score recognition unit on the third line segment display. It is characterized in that the step of outputting the third icon to the position corresponding to the body score recognized by the score recognition unit on the fourth line segment display and the step of outputting the fourth icon to the position corresponding to the body score is executed. Image display program. An image display unit for outputting information,
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. It is a method executed by a system equipped with a control unit.
A step in which the score recognition unit recognizes the value of the degree of execution of the user in the measure group, the skin score, the heart score, and the body score of the user.
The output control unit, before Symbol image display unit
It is a line segment for indicating the degree of execution of the measure group, and the degree of execution of the measure group is higher toward one end of the line segment, and the other end of the line segment is shown. A step to output a first line segment display indicating a state in which the degree of execution of the measure group is lower toward the department, and
A step of outputting the first icon at a position on the first line segment display corresponding to the value of the degree of execution of the user of the measure group recognized by the score recognition unit.
A line segment for indicating the height of each of the skin score, the heart score, and the body score, and the skin score, the heart score, and the body score are each toward one end of the line segment. The second line segment display, the third line segment display, and the fourth line segment show a high state, and the skin score, the heart score, and the body score are each lower toward the other end of the line segment. Steps to output the minute display and
The second icon is output at the position corresponding to the skin score recognized by the score recognition unit on the second line segment display, and corresponds to the heart score recognized by the score recognition unit on the third line segment display. An image characterized by including a step of outputting a third icon at a position corresponding to a position corresponding to the body score recognized by the score recognition unit on the fourth line segment display, and outputting the fourth icon at a position corresponding to the body score. Display method. An image display unit for outputting information,
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. For a system equipped with a control unit
A step in which the score recognition unit recognizes the value of the degree of execution of the user in the measure group, the skin score, the heart score, and the body score of the user.
The output control unit, before Symbol image display unit
A step of outputting the display showing the skin score, the heart score, and the body score recognized by the score recognition unit to the positions corresponding to the vertices of the triangle, respectively.
To execute the step of outputting the display showing the value of the degree of execution of the measure group recognized by the score recognition unit to the same screen as the display showing the skin score, the heart score, and the body score. An image display program featuring. An image display unit for outputting information,
The value of the degree of execution of the user of the measure group, which is one or more measures, and the skin score, the heart score, and the body score, which are the numerical information of each of the skin condition, the mental state, and the physical condition of the user, Score recognition unit that recognizes
Output to output to the image display unit a display showing the value of the degree of execution of the measure group of the user recognized by the score recognition unit and a display showing the skin score, the heart score, and the body score of the user. It is a method executed by a system equipped with a control unit.
A step in which the score recognition unit recognizes the value of the degree of execution of the user in the measure group, the skin score, the heart score, and the body score of the user.
The output control unit, before Symbol image display unit
A step of outputting the display showing the skin score, the heart score, and the body score recognized by the score recognition unit to the positions corresponding to the vertices of the triangle, respectively.
It includes a step of outputting a display showing the value of the degree of execution of the measure group recognized by the score recognition unit on the same screen as the display showing the skin score, the heart score, and the body score. Characteristic image display method.

Images