TWI682763B - Skin condition measurement and analysis system and skin condition measurement and analysis method - Google Patents

Abstract

Provides a skin condition measurement and analysis system and a skin condition measurement and analysis method for suppressing the change of scores in a way that groups scored users in a manner that suppresses the change in score distribution according to the group and the evaluation object.

The skin condition measurement and analysis system includes: a smart phone (3) and a data management server (5). The data management server (5) is provided with: a skin history database (5b), a change information database (5c), and a control unit (5j). The skin history database (5b) is input and memorized the scores before the change which were respectively played by the user. The change information database (5c) stores relationship information indicating the relationship between the first score and the second score set for each category to which each user belongs. The control unit (5j) changes the user's score before the change based on the relationship information set by the category to which the evaluation object belongs.

Description

Skin condition measurement and analysis system and skin condition measurement and analysis method

The present invention relates to a skin condition measurement and analysis system and a skin condition measurement and analysis method that change the scores scored for an assessment target (user) according to the category to which the assessment target belongs.

In the field of skin care and the like, for example, the facial skin is enlarged and photographed to confirm the current skin condition of the user, and a skin care method suitable for the skin condition is recommended. In addition, if skin care has been carried out for a certain period of time, the skin portrait before starting skin care is compared with the current skin portrait, and the skin portrait is used to show that the skin condition has been improved due to skin care.

In addition, compared to the conventional skin photography with expensive dedicated photography devices, it is currently proposed to use a relatively inexpensive dedicated photography device that can be connected to a smartphone or the like, or to have a built-in electronic camera mounted on the smartphone The lens unit of the conversion lens for macro photography performs skin photography (see, for example, Patent Documents 1 to 4).

At this time, the photographed skin image system is uploaded to the server that is performing the service of analyzing the skin image using a smartphone, for example. Analyze the skin portrait on the server. At this time, it is considered that a score that becomes an index indicating whether the skin condition is good or bad is used as the analysis result of the skin image. Consider, for example, a score that becomes higher if the skin condition is good, and a score that becomes lower if the skin condition is poor, as a score indicating whether the skin condition is good or bad.

In this way, if the measurement is continued continuously, it is possible to simply judge whether the skin care performed during this period is suitable for one's skin according to whether the score increases or decreases.

[Prior Technical Literature] [Patent Literature]

[Patent Document 1] Japanese Patent Laid-Open No. 2014-131121

[Patent Document 2] Japanese Patent Laid-Open No. 2014-131237

[Patent Document 3] Japanese Patent Laid-Open No. 2014-180284

[Patent Document 4] Japanese Unexamined Patent Publication No. 2014-180285

However, if the score to be evaluated objectively is based on the skin condition, the person to be evaluated will care about the increase or decrease in the score, but not only that, but also the current score itself. For example, if the score is 0 to 100, and if the score is 30 or less, the person to be evaluated may be discouraged or angry. In addition, even if efforts are made to improve the skin, there is a risk of being discouraged by the person being evaluated if the score is less than 50 points.

Here, if the skin texture state of the skin is objectively scored When turning into a skin condition, it is also considered that those who are evaluated in their 10s are very likely to become high scores of 80 points or more, but if they are evaluated in their 60s, the probability of becoming 80 or more is low. And there are very few people who are evaluated for 80 points or more.

At this time, the 60-year-old subject who was confident in the skin condition was also discouraged by the low score even though he was diligent in skin care. The skin condition was measured regardless of the skin condition used to induce skin care. As a result, even if the score tends to increase, it also results in giving up skin care due to the low score.

If the scores of all persons subject to assessment are scored using the same assessment method as shown above, if the persons subject to assessment are grouped according to age, or living environment, or working environment, the score distribution of persons subject to assessment will be grouped by group And quite different. However, at this time, if different evaluation methods are used in each group, it is possible to alleviate the possibility of different score distributions caused by the group.

However, since the evaluation method is changed according to the group at this time, the processing of evaluation is complicated, and it is difficult to statistically analyze the evaluation result among the entire evaluation target person.

The present invention has been completed in view of the above circumstances, and its purpose is to provide the grouping of users who have been scored (when divided into categories) to suppress the difference in score distribution of the evaluation objects caused by different groups The skin condition measurement and analysis system and the skin condition measurement and analysis method of changing the score in a different way.

The skin condition measurement and analysis system of the present invention is characterized by including: a user client, which is used by a user of the skin condition measurement device, and is provided with: capable of sending and receiving data with the skin condition measurement device Means to connect and connect to the network for data transmission; and a data management server, which can send data to the user client through the network, and Remember information related to the aforementioned user, The user client is provided with: user data sending means, which sends user data including information about user attributes input by the user to the data management server; measurement data sending Means that if the measurement data of the user measured by the skin condition measurement device is input from the skin condition measurement device, the input measurement data is sent to the data management server; and the user The score display means, if the score is input from the data management server based on the aforementioned measurement data, the score is displayed. The data management server is provided with: a user information database, which is registered to include the aforementioned use User data received by the client on the information about the aforementioned user attributes; A database for measurement data, which is registered with the measurement data received by the user client; and a skin condition evaluation unit, which analyzes the measurement data received by the user client as a skin The score of the analysis result of the state is output to the user client, and the skin condition evaluation unit calculates the first score as the analysis result of the skin state from which the measurement data is analyzed, and based on the information about the attribute of the user. The first score applies the changed second score, and at least outputs the second score to the user client.

The skin condition measurement and analysis method of the present invention is a skin condition measurement and analysis method in a skin condition measurement and analysis system. The skin condition measurement and analysis system includes: a user client that is used by a user of the skin condition measurement device, and Equipped with: a means for sending and receiving data that can be connected to the aforementioned skin condition measuring device and connected to a network for data sending and receiving; and a data management server, which can The user client sends and receives data through the network and memorizes the information associated with the user. The feature is that the user client performs: the user data sending step, which includes The user data of the information about the user attributes input by the user is sent to the data management server; the measurement data sending step is based on the skin condition measurement device. The measurement data of the user who has been measured is input by the skin condition measurement device, and the input measurement data is sent to the data management server; and the user score display step is based on the measurement data , When the score is entered by the data management server, the aforementioned score is displayed. The aforementioned data management server is provided with: a user information database, which is registered to contain information about the user received by the user client User data of attribute information; and a database for measurement data, which is registered with the measurement data received by the user client, and performs a skin condition evaluation step, which analyzes the user client The received measurement data outputs a score as the analysis result of the skin state to the user client, and in the skin condition evaluation step, the first score as the analysis result of the skin state from which the measurement data is analyzed is calculated And a second score that applies a change to the first score based on information about the user attribute, and at least outputs the second score to the user client.

With the configuration as shown above, the user sends the measurement data of the skin condition measured by the skin condition measurement device connected to the user client to the data management server, which can The measurement data of the user is analyzed and the skin condition is scored according to the measurement data.

In addition, by the user, by the user client, the user attributes are Sent to the data management server. After calculating the first score, which is the analysis result of the measurement data, the data management server changes the first score according to the user attributes to obtain the second score, and sends it to the user client. The user client can display the received second score.

Here, user attributes refer to skin types such as age, residence area, dry skin, etc. However, for example, the first score of the skin condition depends on the type of skin condition to be measured, and there is a significant influence due to age Yu, in his 10s, had a higher average score of the 1st grade. Compared with it, in his 60s, he may have a lower average score. At this time, in order to prevent the user from being discouraged, in terms of user attributes, for example, the first score is changed to the second score according to age, and even if the age is high, a higher score can be selected. The second score is displayed on the user's client system, which prevents users who are confident about their skin regardless of age from being dissatisfied with the low score. In addition, when comparing scores or performing statistical processing, the first score can be used to conduct research on skin using measurement data of all users.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the skin condition evaluation unit is provided with: relationship information memory means, which stores relationship information indicating the relationship between the first score and the second score; And a modified score output means, which changes the first score of the user based on the relationship information, and outputs a second score.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, preferably, in the aforementioned skin condition evaluation step, a relational information memory step is performed, in which the memory indicates the first score and the second comment The relationship information of the scored relationship; and the step of outputting the score after the change, which is to change the first score of the user according to the relationship information, and output the second score.

With these constitutions, the relationship information indicating the relationship between the first score and the second score, and the relationship information that has been memorized based on the information about the user's attributes can be used to quickly change the first score to the second score. That is, not to collect the measurement data of most users, to perform statistical processing to find the second score of regularization, but to use the relationship information that has been decided to change the first score to the second score, so it can be measured in After the data is entered, the score is quickly calculated.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the skin condition evaluation unit is provided with: relational information memory means that the memory represents a plural number classified according to information on user attributes The relationship information of the relationship between the first score and the second score set for each category; and the changed score output means, which changes the user according to the relationship information set by the category to which the user belongs The aforementioned first score, and output the second score.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, preferably, in the aforementioned skin condition evaluation step, a relational information memory step is performed, which is a memory representation classified according to information on user attributes The relationship information of the relationship between the first score and the second score set for each of the plural categories; and the step of outputting the score after the change, which is based on the The relationship information set by the category changes the first score of the user, and outputs a second score.

With these constitutions, the relationship between the first score and the second score obtained by changing the first score is memorized corresponding to the various categories determined in advance according to the user attributes, that is, used for the first score The relationship information for the second score is determined, so the second score can be obtained from the first score based on the relationship information for each category.

The 1st scoring system has a high probability of representing the average score or the maximum value and the minimum value according to each type of genus, but the 2nd scoring system can be used to form the representative value, the maximum value and the minimum value into each other by each type of genus Roughly the same changes. With this, it is possible to suppress the average score or the maximum value from becoming lower depending on the category, and even if the age is higher as described above, for example, a higher second score can be obtained.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the user score display means displays information about the user attribute together with the second score.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, preferably, in the user score display step, information about the user attribute is displayed together with the second score.

With these components, the second score is obtained from the first score based on information about user attributes. Even if the first scores of different users are the same, if the attributes are different, it becomes the second score after the first score is changed. Ratings vary by user. Therefore, the display attribute is used as a factor that affects the user's rating, whereby the user's understanding of the second rating becomes more tolerant easy. In addition, the user can confirm his own attribute together with the second score.

In addition, the skin condition measurement and analysis system of the present invention is characterized by including: a user client, which is used by a user of the skin condition measurement device, and further includes: data collection with the skin condition measurement device The method of sending and receiving is connected and connected to the network to send and receive data; and the data management server, which can send data to the user client through the network The user client is provided with a skin condition evaluation unit that analyzes the measurement data if the measurement data of the user measured by the skin condition measurement device is input from the skin condition measurement device, and Outputting a score as an analysis result of the skin state; and a score display means which is output by the skin state evaluation unit and displays the score, and the skin state evaluation unit calculates the analysis result of the skin state from which the measurement data is analyzed The first score and the second score to which the first score is changed based on the information about the user attribute, and at least the second score is output.

In addition, the skin condition measurement and analysis method of the present invention is characterized by including: a user client, which is used by a user of the skin condition measurement device It is used, and it is provided with: a means for sending and receiving data that can be connected to the aforementioned skin condition measuring device and connected to a network for data sending and receiving; and a data management server, which is The user client can send and receive data through the network. The user client performs: a skin condition evaluation step, which is the measurement of the user if measured by the skin condition measuring device Data is input by the skin condition measuring device, the measurement data is analyzed, and a score as an analysis result of the skin condition is output; and a score display step, which is output in the skin condition evaluation step and displays the score, in the skin In the state evaluation step, a first score that is the analysis result of the skin state from which the measurement data is analyzed is calculated, and a second score that changes the first score based on the information about the user attribute is output, and at least the second score is output score.

With these configurations, in the above invention, the second score is calculated by the data management server, and the second score is calculated by the smart phone. Therefore, the amount of data communication can be reduced to improve the efficiency of data communication.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the skin condition evaluation unit is provided with: relationship information memory means, which stores relationship information indicating the relationship between the first score and the second score; And the score output method after the change, which is changed based on the aforementioned relationship information The first score of the user and the second score are output, and the relationship information is provided by the data management server.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable to perform in the skin condition evaluation step: a relationship information memory step that stores relationship information indicating the relationship between the first score and the second score And the step of outputting the score after the change, which is to change the first score of the user according to the relationship information and output the second score. The relationship information is provided by the data management server.

With these components, the relationship between the first score and the second score is used not in the data management server but in the user client, and the relationship information that has been memorized according to the information about user attributes can be used The 1 rating quickly changed to the 2nd rating. Among them, the relationship information based on the user attributes is created using, for example, the score of most users, so it is difficult to create on the user client side, the relationship information is determined on the data management server side that processes most user data, and is provided to Consumer client. In addition, the relationship information is created in the data management server based on the past data stored in the data management server. Since it is the state stored in the user client, if the first score is obtained, the second score.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the skin condition evaluation unit is provided with: relational information memory means, which means that the memory represents a plural number classified according to information on user attributes 1st score set for each category Relationship information of the relationship with the second score; and a changed score output means that changes the first score of the user based on the relationship information set by the category to which the user belongs, and outputs the second For scoring, the aforementioned relationship information is provided by the aforementioned data management server.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable to perform in the aforementioned skin condition evaluation step: a relational information memory step, which is a memory representation classified according to information on user attributes The relationship information of the relationship between the first score and the second score set for each of the plural categories; and the step of outputting the score after the change, based on the aforementioned relationship information set by the aforementioned category to which the aforementioned user belongs, changing the aforementioned usage The first score of the user and the second score are output, and the relationship information is provided by the data management server.

With the configuration as described above, the second score can be changed for each category as in the case where the second score is calculated in the above-mentioned data management server, for example, it becomes a score with the same score in each category.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the user client is provided with: user data transmission means, which will include the user input by the user The user data of the attribute information is sent to the data management server; and the measurement data sending means is that if the measurement data of the user measured by the skin condition measuring device is measured by the skin condition The device is input, and the input measurement data is sent to the data management server. The data management server is provided with: a user information database, which is registered and received by the user client. User data on the information about the user attributes; and a database for measurement data, which is registered with the measurement data received by the user client.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable that the user client executes: the user data sending step, which will include the user attribute input by the user The user data of the information is sent to the data management server; and the measurement data sending step is that if the measurement data of the user measured by the skin condition measuring device is input by the skin condition measuring device , The inputted measurement data is sent to the data management server, the data management server is provided with: a user information database, which is registered to contain the information about the use received by the user client User data of user attribute information; and a database for measurement data, which is registered with the measurement data received by the user client.

By constructing as shown in these, the user client calculates The skin condition measurement and analysis system and the skin condition measurement and analysis method with the second score may be formed to have the same basic configuration as the skin condition measurement and analysis system and skin condition measurement and analysis method with the second score calculated by the data management server.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the score display means displays information about the user attribute together with the second score.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable to display information about the user attribute together with the second score in the score display step.

With these constitutions, the second score is based on the information about the user's attributes, and the person who got the first score, even if different users have the same first score, if the attributes are different, it becomes the second score after changing the first score Varies by user. Therefore, by displaying attributes as a factor that affects the user's rating, the user's understanding of the second rating becomes easier. In addition, the user can confirm his attribute together with the second score.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the relationship information stored in the relationship information storage means is updated based on the measurement data accumulated in the measurement data database.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable that the relationship information stored in the relationship information storage step is based on the measurement accumulated in the database for measurement data The information will be updated.

With these configurations, for example, the relationship information is updated based on the elapse of a predetermined period or the accumulation of a predetermined amount of measurement data. The relationship information is used to change the first score to the second score. When calculating the relationship information, you must have the first score. The first score is obtained from the measurement data, so it is updated with the corresponding multi-measurement data. Relationship information is better. For example, if the relationship information obtained from the measurement data of last year and the relationship information obtained from the measurement data of this year change, the relationship information is updated based on the measurement data memorized in sequence, thereby obtaining more accurate relationship information. Among them, in the present invention, it is preferable that each user cooperates with his own convenience and upload the measurement data to the data management server, and the second score is displayed on the user client in a short time. Therefore, it is difficult to form a configuration in which, for example, one-day measurement data uploaded by each user is collected, and the set of first scores based on the collected measurement data is normalized to calculate the second score. Therefore, the above relationship information is obtained first, and each time the measurement data is uploaded, the relationship information is used to change the first score according to the measurement data to the second score, and the second score can be displayed to the user in a short time Client. At this time, by sequentially updating the relationship information, it can respond to changes in the situation and so on.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the first score is an objective score scored by all users using the same method, and the second score is a score belonging to the user Users within the category, using the same method and scored the objectivity score.

The aforementioned structure of the skin condition measurement and analysis method of the present invention In the course of completion, it is preferable that the first score is an objective score scored for all users using the same method, and the second score is a score for users within the category to which the user belongs using the same method The objectivity score.

With these structures, the first score is obtained by all users in the same way, so it can be used for data comparison or statistical processing of data for all users, but it cannot be used among users of different categories. Compare the second score. However, it is possible to prevent the scores from being biased according to the category, and the same score can be formed in different categories.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the skin condition measurement device includes a camera and a close-up skin conversion lens, and the user client having the transmission and reception means includes A portable terminal built into the camera, the camera is connected to the portable terminal in such a way as to transmit and receive data with the transmission and reception means.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable that the skin condition measurement device includes a camera and a close-up skin conversion lens, and the user client having the transmission and reception means includes A portable terminal built into the camera, the camera is connected to the portable terminal in such a way as to transmit and receive data with the transmission and reception means.

With the structure shown above, for example, the built-in camera As a user client connected with a skin condition measurement device, a smartphone can transmit measurement data to a data management server via the Internet.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the post-change score output means is based on the representative value and maximum value of each category of the second score after the change of each category. The first score is changed in such a way that the genres become substantially the same as each other.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable that the representative value and the maximum value in each type of genus with the second score after the change of each type in the score change step after the change Each type of genus becomes approximately the same as each other, and the first score is changed.

With these constitutions, in each category, the score is set to set the second score from 0 to 100, and the average is set to 50, and any category can be assigned to users who have 100 points . That is, regardless of the genus in the 10s or 60s, it may be a distribution for people who have 100 points, which can suppress the genre, for example, there is no bias distribution for people who have 50 points or more. Situation.

In addition, in the aforementioned configuration of the skin condition measurement and analysis system of the present invention, it is preferable that the modified score output means is formed to change the original score as the analysis result of the skin condition from which the measurement data is analyzed to obtain the first score Change the first score to obtain the second score, so that the maximum value of the first score of each user before the classification by the aforementioned category becomes approximately the same as the maximum value of each category of the second score Make settings.

In addition, in the aforementioned configuration of the skin condition measurement and analysis method of the present invention, it is preferable that the first score is obtained by changing the original score as the analysis result of the skin condition from which the measurement data is analyzed in the post-change score output step. After the score is changed, the first score is changed to obtain the second score, so that the maximum value of the first score of each user before the classification by the aforementioned category becomes approximately the same as the maximum value of the category of the second score. set up.

With the structure as shown above, the original score obtained from the analysis result of the measurement data does not directly become the first score, but after the normalized score of the original score is set to the first score, for example The second score can be obtained by scoring, and it can be formed into a score that is easy to read. For example, both the first score and the second score can be scored as 100 points to make it easy to read.

The score change system (skin condition measurement and analysis system) is a score change system that changes the scores of the evaluation objects by the category to which the evaluation object belongs. It can also be provided with: relational information memory means, which is a memory Relationship information indicating the relationship between the score before change and the score after change set for each of the aforementioned categories to which each evaluation object belongs; and a means for outputting the score after change, which is based on the The relationship information set by the category changes the score before the change of the evaluation object, and outputs the changed score after the change.

In addition, the score change method (skin condition measurement analysis method) is a score change method in which the scores of the evaluation objects are scored separately, and can be changed by the category to which the evaluation object belongs. The relationship information of the relationship between the score before the change and the score after the change set for each of the aforementioned categories of the Those who scored before the change and output the score after the change.

By constructing as shown in these, it is possible to suppress, for example, when the category is classified based on the information that associates the evaluation object with the evaluation object, the high score for the evaluation object belonging to one of the categories, and There are many cases where scores become full scores. Compared with this, the scores of the evaluation objects belonging to the other party's genre are lower. When there are no scores, the scores caused by the genre are different.

In this way, it is possible to suppress the desire of the related party of the evaluation object to be reduced when the evaluation object of the other party’s genre is low, or to make the evaluation object’s evaluation object be as high as the evaluation object of one of the genres. The situation where the person is complacent. In this way, it is possible to urge all stakeholders to improve their evaluation or continue to be evaluated. That is, if the score of the evaluation object is biased according to the category, by suppressing the bias, the problem that the evaluation is too low or too high due to the category can be solved.

In addition, in the aforementioned score change system, it is preferable that the aforementioned relational information storage means divides the aforementioned score before change into each of the aforementioned generic categories Make a distinction and memorize the representative value and deviation of the score before the change obtained for each of the aforementioned categories as the aforementioned relationship information,

The post-change score output means sets the pre-change score, which becomes the first value after the first value after subtracting the deviation from the representative value by the predetermined value, to be the minimum value of the post-change score, The score before the change that becomes the third value or more after the first value is added to the representative value is set as the maximum value of the score after the change.

In addition, in the aforementioned method of changing the score, it is preferable to distinguish the score before the change for each of the aforementioned categories, and to store the representative value and deviation of the aforementioned score before the change of each category as the aforementioned relationship information,

The score before the change that becomes the second value of the first value after subtracting the deviation from the representative value by a predetermined number is subtracted from the representative value, is set to the minimum value of the changed score, and is added to the representative value. The aforementioned score before the third value after the first value and before the change is the maximum value of the aforementioned score after the change.

With the structure as shown above, since the representative value (for example, median, average, mode, etc.) of the score before the change of each category is memorized and the deviation indicating the uneven score is used as the relationship information, so For example, the representative score can be determined by setting the representative value to 50, the representative value-(deviation × 3) or less to 0, and the representative value + (deviation × 3) or more to 100. At this time, according to (deviation × 3), if the scores are formed into a nearly normal distribution, there is a high possibility that there will be an evaluation target of 100 points, and it is possible to prevent the evaluation target that has become a full score from disappearing or the representative value from becoming too low by category Love shape.

In addition, in the score change system, it is preferable that the changed score output means is to form the scale of the changed score distribution map between the position of the maximum value and the position of the minimum value, The fourth value after subtracting the minimum value from the maximum value performs equal division, and changes the score before change to the score after change based on the scale in the distribution map of the score after change.

In addition, in the aforementioned method for changing the score, it is preferable that the scale in the distribution map of the changed score is formed such that the minimum value is subtracted from the maximum value between the position of the maximum value and the position of the minimum value If the fourth value after the value is divided equally, the score before the change is changed to the score after the change based on the scale in the distribution map of the score after the change.

With such a configuration, the score before the change can be used as the scale of the distribution chart for the score after the change, and the score after the change can be derived from the score before the change in the distribution map based on the scale. In these cases, because the maximum and minimum values of the scale are determined according to the representative value and deviation, even if it is an evaluation object of any category, it can be set in a way to obtain a full score.

In addition, in the above-mentioned score change system, it is preferable that the changed score output means form the scale in the distribution map of the changed score so that the position of the maximum value and the position of the representative value are formed, The equal value is divided by 1/2 of the fourth value after subtracting the minimum value from the maximum value, and is formed such that the position of the representative value is Between the positions of the minimum values, those who perform equal division by 1/2 of the fourth value, change the score before the change to the score after the change based on the scale in the distribution map of the score after the change.

In addition, in the aforementioned method of changing the score, it is preferable that the scale in the distribution map of the changed score is formed such that the minimum value is subtracted from the maximum value between the position of the maximum value and the position of the representative value The value is divided into equal parts by 1/2 of the fourth value, and is formed by dividing the position of the representative value from the position of the minimum value by equal to 1/2 of the fourth value, according to the change The scale in the distribution map of the score after the change of the score before the change to the score after the change.

With the configuration as described above, the score before the change can be used as the scale of the distribution chart for the changed score, and the changed score can be derived from the score before the change in the distribution map based on the scale. In these cases, the maximum and minimum values of the scale are determined according to the representative value and deviation, so even if it is an evaluation object of any category, it can be set in a manner that has the opportunity to obtain a full score. In addition, for example, if the minimum value of the changed score is set to 0 and the maximum value is set to 100, the median value, for example, may be set to 50 in any category.

In addition, in the score change system, it is preferable that the relationship information storage means compares each value on the scale of the distribution map according to the score before the change with the value on the scale of the distribution map after the change in the score The transformation data table or transformation formula of the correlation of each value is memorized as the aforementioned relation information for each of the aforementioned categories,

The post-change score output means uses the conversion data table or the conversion formula to change the pre-change score to the post-change score.

In addition, in the aforementioned method for changing the score, it is preferable to convert the data table or the conversion formula of the correlation between the values on the scale according to the score before the change and the values on the scale after the change in the score , The memory is the relationship information, and the score before the change is changed to the score after the change through the conversion data table or the conversion formula.

With these constitutions, when the score before the change is changed to a changed score that is less biased due to different categories and has the possibility of being a full score even in any category, the conversion data table or Transform to change easily.

According to the present invention, if the level of the user's score (score) is biased by category, the bias can be suppressed.

1‧‧‧Skin condition measuring device

3‧‧‧smartphone (smartphone: user client: portable terminal: user data transmission method: measurement data transmission method: user score display method: skin condition measurement analysis system)

3a‧‧‧Control Department (Skin Condition Evaluation Department: Changed Score Output Means: Relational Information Memory Means)

3b‧‧‧Input

3c‧‧‧Display (user rating display means: rating display means)

3d‧‧‧Receiving and sending information department (user data sending method: measuring data sending hand segment)

3e‧‧‧Simple Skin Diagnosis Department

3i‧‧‧ Memory Department

4‧‧‧ Internet (Internet)

5‧‧‧Data management server (skin condition measurement and analysis system)

5a‧‧‧Customer personal information management database (user information database)

5b‧‧‧Skin history database (database for measurement data)

5c‧‧‧Change information database (relational information memory means)

5d‧‧‧absolute score calculation form

5e‧‧‧User rating conversion table

5f‧‧‧Simple skin diagnostic program

5i‧‧‧ dedicated application

5j‧‧‧Control Department (Skin Condition Evaluation Department: Score output means after change)

FIG. 1 is a schematic block diagram showing a score changing system according to the first embodiment of the present invention.

2 is a diagram for explaining the registration items of the customer personal information management database of the same data management server.

FIG. 3 is a diagram for explaining the registration items of the same skin history database.

Figure 4 is a graph showing the distribution of original scores.

Figure 5 is a graph showing the distribution of the same absolute score.

Figure 6 is a graph showing the same user ratings (relative ratings).

7 is a flowchart for explaining the method of changing the same score.

FIG. 8 is a flowchart for explaining the method of changing the same score.

FIG. 9 is a flowchart for explaining the method of changing the same score.

Fig. 10 is a diagram for explaining the same warning output.

Fig. 11 is a diagram for explaining the same warning output.

FIG. 12 is a diagram for explaining the second embodiment.

Fig. 13 is a schematic block diagram showing a score change system of the third embodiment.

14 is a conceptual diagram of a user score conversion table of the score change system of the fourth embodiment.

[First Embodiment]

The first embodiment of the present invention will be described below with reference to the drawings.

The skin condition measurement and analysis system (score change system) and the skin condition measurement and analysis method (score change method) in the present embodiment apply the present invention to: let the user photograph the user's skin and upload the photographed skin Portrait, analyze the uploaded skin portrait to make the skin look like The system is divided into good and bad, and the score indicating the skin condition is displayed to the user as the analysis result.

The score change system utilizes the data provided by the user who is a member of the skin condition measuring device (user terminal) 1 to upload the measurement information of the skin condition measuring device 1 as the skin image captured by the skin camera, by This skin image data (measurement information) is a skin condition information management system who serves to obtain the measurement results (analysis results, analysis results) of the user's skin condition.

In the skin condition information management system used in this embodiment, the data of the skin image uploaded by the user's photography, the data of the analysis result of the data, or the user's personal information are recorded in the data management server described later 5. Based on such data, it can be performed on a user terminal such as a smartphone: as a reference to the score of the user's own skin condition data, or as a reference to the history of the data, or to be created and used correspondingly by the user Refer to suggested documents such as proposals for skin care of the skin condition of the person.

In the present embodiment, the skin condition measuring device 1 is, for example, a camera for skin connected to a smartphone (user client; portable terminal) 3 that is a user terminal for data communication, or may The built-in camera of the smartphone 3 is combined with the built-in camera as a conversion lens for macro photography of the skin camera. However, the skin condition measuring device 1 is not limited to a device for skin photography, and may include, for example, a moisture meter that measures skin moisture, a well-known evapotranspiration meter that measures transepidermal moisture evapotranspiration, or a melanin meter that measures the amount of skin melanin. but Yes, it is preferable that the skin condition measurement device 1 includes a skin-use camera.

As shown in FIG. 1, the score changing system of this embodiment includes: a skin condition measuring device 1, a smartphone 3 (smart phone 3) as a user terminal equipped with a skin condition measuring device 1, and an Internet connection The data management server 5 connected to the smartphone 3 via the network 4 (network).

The skin condition measuring device 1 may be, for example, a camera for skin, and in this case, a digital camera built in the smartphone 3 is equipped with a lens module having a conversion lens and a photography lighting LED.

The smartphone 3 is equipped with: the above-mentioned digital camera; flash memory that memorizes portrait data or other data or applications (application software) etc. that have been photographed by the digital camera; execution of OS or application control Department (control board with CPU, etc.); a display that displays various materials such as moving images, still images, and text; a sound output device that outputs sound data; and data communication using public lines using WiFi or mobile phones, And communication means that can be connected to the Internet.

Among them, in the above-mentioned lens module, basically, by general photography using LED as illumination, images of skin color, skin texture, and wrinkles of skin are photographed. In addition, the use of polarizers to suppress the appearance of the skin surface Reflect to measure freckles and take pictures. Therefore, in one measurement, a minimum of two photographs were taken to analyze the state of skin texture, fine lines, freckles, pores, whitening, and transparency, and obtain portrait data that can be evaluated as a score.

Among them, the skin texture (texture) is composed of the following: a plurality of grooves, that is, skin grooves, are formed so as to cross each other on the skin; and a skin ridge formed in a convex state surrounded by these skin grooves. These fur grooves and skin ridges are arranged in an orderly manner, and the skin texture is neat, but if the skin is rough due to dryness, etc., the fur grooves or skin ridges will form a chaotic state. Or the appearance of the skin ridge to determine the quality of the skin texture.

In addition, the capillary system is located at the position where the skin grooves intersect each other. If it is in a better state, it is small and not obvious, but if it is in a poor state, the capillary pores are large and obvious.

Freckles, for example, are formed by melanin accumulated in the surface layer rather than the skin surface. By using a polarizing plate photography to remove the reflection of light on the skin surface as described above, the presence or absence of freckles or the degree of freckle color can be recognized Or the area of freckles can be divided into good and bad freckles.

If there are wrinkles, shadows will be generated, so fine lines can be identified by skin portraits, and the state of wrinkles can be determined by the number of wrinkles within a predetermined range of the skin, or the width of each wrinkle shadow, etc., and can be scored.

The degree of whitening or transparency varies depending on the amount of melanin mentioned above, or the state of blood circulation, dryness, etc. However, for example, based on the skin color without sun exposure, not in a dry state, and in a state with good blood circulation, it can be Determine whether the skin color is good or bad can be scored.

The smartphone 3 series as a user terminal can use, for example, a portable wireless telephone line as wireless communication, and can use a wireless LAN (WiFi), which can be used to communicate with the Internet as a network The network 4 is connected to form a wireless portable terminal.

In addition, in the smartphone 3, an application (Application) that can be downloaded and installed, for example, is downloaded from the data management server 5 to the application for measuring the condition of the skin as a dedicated application 5i in this embodiment. Smartphone 3. Among them, the dedicated application 5i may be formed as a downloader from a web page that becomes an application distribution source for each OS.

The functions of the dedicated application (A) 5i executed on the smartphone 3 are: skin photography; assistance in photography operations; upload of photographed skin portraits; user input and upload of personal information; The reception and display of the analysis result of the skin portrait; the requested transmission of the reference to the data on the user's skin condition; and the reception and display of the requested data.

Basically, for the skin photography department, for example, a conversion lens is installed on the smartphone 3, and the dedicated application 5i is started. If the skin photography is selected with the dedicated application 5i, the skin can be photographed on the smartphone 3. According to the dedicated application Use the sound or display from the program 5i to photograph the skin. Next, the image data of the skin photographed is uploaded to the data management server 5 by the dedicated application 5i according to the user's operation.

The data management server 5 is a smartphone 3 that becomes the terminal of most users, can communicate data through the Internet 4, is registered and manages personal information or skin portrait data uploaded by the smartphone 3, and is registered and managed Measurement results based on skin image data (analysis Result) Wait for the data created by the user to upload the data. In addition, the data management server 5 transmits data about the user to the smartphone 3 according to the user's request, and can be viewed on the smartphone 3.

As shown in FIG. 1, the data management server 5 basically functions as a database for registering data about the above-mentioned users or a computer system equipped with plural data tables, and has a memory such as CPU, ROM, RAM, etc. The control unit 5j of a storage body such as a hard disk or a hard disk serves as a computer system. The database or data table described below is stored in the memory of the control unit 5j or the external memory of the control unit 5j managed by the control unit 5j. Among them, each database may be a person who exists as a data group that can be individually searched on one database even if they are constituted separately.

As shown in FIG. 1, the data management server 5 is equipped with the above-mentioned control unit 5j useful as a server, and has a customer personal information management database 5a, a skin history database 5b, a change information database 5c, an absolute The rating calculation table 5d and the user rating conversion table 5e serve as the above database. In addition, a simple skin diagnosis program 5f is installed in the data management server 5 and can be executed in the control unit 5j.

In the example of FIG. 1, all data bases or simple skin diagnostic programs 5f are collected in one data management server 5, but it can also be formed to divide the functions of the data management server 5 into two in different places The person to be managed is also included in the present invention. For example, it may be configured to arrange the customer personal information management database 5a and the skin history database 5b in the first data management server, change the information database 5c in the second data management server, the absolute score calculation table 5d, and the user score Transformation table 5e And simple skin diagnosis program 5f, and those who set up the control department separately.

The customer personal information management database 5a is shown in Figure 2, and stores the customer ID, individual user ID, personal password, name, date of birth, age, gender, address 1 (country), address 2 (prefecture) County), address 3 (town, village (district)), address 4 (house number (building name, room number)), email address, charge information (credit card information, etc.), entered as a user using smartphone 3 data of. Among them, the customer ID corresponds to the individual user ID, and is added to the data management server 5 side. The individual user ID is based on the condition that the user does not overlap with the individual user ID of other users. The ID to be set. In addition, the personal password is used for user authentication in conjunction with the individual user ID.

In addition, if the data related to the user is stored in each database, all of them are managed by the customer ID, and each database in which the data related to each user is separately stored is searched by the customer ID, whereby all the data can be retrieved and Obtain data related to each user.

Therefore, the data of each user is registered in the customer personal information management database 5a in association with each customer ID.

In addition, in the customer personal information management database 5a, through the dedicated application 5i, there is also registered data arbitrarily entered by the user using methods such as questionnaire surveys, and memory such as the user’s occupation type (such as business, business, technology, sales , Construction, etc.) coded occupation code (code), or working hours, skin type (dry skin, oily skin, mixed oily and dry skin, normal skin, etc.), average outing Time (mainly in the sun), sleep time, genres described later, smoking information, drinking information, etc.

As shown in FIG. 3, measurement data input by each skin condition measurement device 1 is registered in the skin history database 5b in association with the customer ID and data input date and time. As shown in Fig. 3, in terms of measurement data, there is data for inputting a skin portrait. In the skin condition measuring device 1, the skin is photographed in one place, and general photography and photography in which the reflection of the surface reflection through the polarizing plate is suppressed are used, and the skin image obtained by the photography is used in the photography using the latter polarizing plate. In the analysis of freckles, skin portraits obtained by general photography of the former are used to determine skin texture, wrinkles, pores, whitening, and transparency.

In addition, data of each simple diagnosis (analysis) result (measurement result) is registered in association with the measurement data. Among them, for example, within a predetermined period of time such as within 30 minutes, when the measurement data is input from the plurality of skin condition measuring devices 1, the respective simple diagnosis results are registered and a comprehensive simple diagnosis is performed, and the comprehensive simple diagnosis is registered Information on the results. In addition, if a detailed diagnosis is made on the measurement data, after being notified of the result of the detailed diagnosis, the data of the detailed diagnosis result is registered in the detailed diagnosis result database (not shown) in association with the customer ID and the measurement date and time. The skin history database 5b is the storage address of the detailed diagnosis result corresponding to each customer ID of the detailed diagnosis result database (not shown).

Among them, the so-called diagnosis sentence in this specification is not limited to medical actors, but also includes non-medical behaviors, in a broad sense including various analyses, etc. used.

In this embodiment, the skin history database 5b is registered with the scores scored for the skin texture, fine lines, freckles, pores, whitening degree, and transparency, respectively, as a simple skin image diagnosis result. In addition, if the above-mentioned comprehensive simple diagnosis is performed, all the points are registered as points for the comprehensive simple diagnosis. These scores are registered in, for example, a storage in the data management server 5 or an external storage or a storage in a server capable of data communication or a download folder of the smartphone 3 and so on. In the present embodiment, the original score and the absolute score (first score) and the user score (second score: relative score) are memorized as the above score for each user. Among them, the absolute score is the score before the change of the present invention, the user score is the score after the change of the present invention, and the skin history database 5b that memorizes these functions as a score memory means before change and a score memory means after change . In addition, the data management server 5 functions as a means for outputting the user score as a modified score output means. A simple skin diagnosis program 5f is installed in the data management server 5 and can be executed in the control unit 5j. In this simple skin diagnostic program 5f, the original scores of skin texture, fine lines, freckles, capillaries, whitening degree, and transparency are calculated based on the image recognition of the input skin portrait or the RGB value or brightness on the input skin portrait, As described later, the user score is obtained from the original score through the absolute score. The input of the simple skin diagnosis program 5f is not limited to the skin portrait, and may be input of the output value of the moisture meter, evapotranspiration meter, melanin meter, or a combination of these.

Absolute scoring system considers registration in skin resume database 5b All users of the guest ID use the same objective score, and basically the skin of the user with a high score is better than the skin of a user with a low score. For example, the skin color of a user with a high whiteness score is whiter than that of a user with a low whiteness score. That is to say, the absolute score is played out in the same way by each user, whereby the absolute score can be compared among the users. The absolute score shown above is memorized in association with each item such as the skin texture, fine lines, freckles, pores, whitening degree, and translucency, such as the date and time of skin portrait photography and the customer ID. These absolute scores are typed and memorized each time the skin portrait is photographed and uploaded to the data management server 5, so the date and time of the plural measurement are separately memorized.

The user rating is to assign each user according to each of multiple categories, and change the absolute rating in each category to form a user rating, by determining the transformation or data of the absolute rating according to each category The table is changed (changed). The user ratings shown above are determined for each of the above absolute ratings, and each user is individually determined and memorized for each absolute rating. Therefore, as with the above-mentioned absolute score, the date and time of the plural measurement are separately memorized. Among them, the details of the absolute rating and the user rating will be described later.

In addition, in the customer personal information management database 5a, the category to which the user belongs is stored corresponding to each customer ID. The genus in this embodiment classifies users by skin type, area of residence (address), and age (age).

In this embodiment, the user's skin type is classified For dry skin, oily skin, mixed skin, normal skin and so on. Here, the mixed skin refers to a skin type having both dry skin and oily skin types. In addition, ordinary skin is a skin type that is neither dry skin nor oily skin. In addition, in the present embodiment, the user's residence area is classified into 10 places including Hokkaido, Tohoku, Kanto, Tokai, Koshin-etsu/Hokuriku, Kinki, China, Shikoku, Kyushu, and Okinawa. In addition, in the present embodiment, the years are classified into six generations such as 10s, 20s, 30s, 40s, 50s, and 60s. Among them, users under the age of 10 are included in their 10s, and users over 70 are included in their 60s.

The genus system classifies the three items of skin type, place of residence, age, etc. as 4, 10, and 6, respectively, and thus becomes 240 types. That is, 240 genus systems are set. In the skin history database 5b, the skin type of each user is assigned to any of the four categories based on the simple diagnosis results of the skin history database or the results of the questionnaire survey on the users. In addition, based on the data of the address in the customer personal information management database 5a, the residence area of each user is allocated to any one of the above 10 places. In addition, based on the age or date of birth in the customer personal information management database 5a, each user is assigned to any of six generations.

In terms of genre, for example, the skin type can be set to 1 to 4 for 4 categories, the residence area can be set to 1 to 10 for 10 areas, and the age can be set to 1 to 6 for 6 years. It can be formed by displaying the genres by three numbers, for example, for 240 genres and assigning codes to various genres, or for example, assigning codes of 001-240 to various genres. The process of assigning users to categories is performed in the data management server when the user's information is input from the smartphone 3 to the data management server 5 (control section 5j), and the determined category is recorded in Customer personal information management database 5a. It is also possible to change the place of residence according to the user, so at this time, if the genre in the customer personal information management database 5a also includes the change history of the genre (combination of change date and genre), it may be recorded.

Memory is useful to change the relationship information of the absolute score to the user's score. The change information database 5c as a means of relationship information memory will represent the relationship between the absolute score as the score before the change and the user score as the changed score, and Change the absolute score to the relationship information used when the user scores, and memorize it in connection with all kinds of genres.

For example, the change information database 5c stores the relationship information used to change the absolute score to the user score of each category, as described later, corresponding to each of the 240 categories. The relational information system includes the median (μ) and dispersion (σ ² ) or deviation (σ) as the representative values in the normal distribution, and the user scores of various categories are similar to the normal distribution. The change information database 5c stores a user score conversion table 5e that relates the median (μ) and the deviation (σ) to various categories. Among them, in the normal distribution, the median (μ) may be an average value and a mode. In the present embodiment, the average value or mode may be used instead of the median μ. Among them, the average value, the median value, and the mode are representative values, and if it is the representative value, any of the average value, the median value, and the mode may be used.

In addition, the user score conversion table 5e in the change information database 5c is useful for memory related to various types of Change the rating to the user's rating transformation or transformation data table. At this time, if the absolute score is substituted into the transformation formula, the user score can be calculated. In addition, in transforming the data table, user ratings are memorized in association with each absolute rating, and the user rating can be derived from the absolute rating.

The control unit 5j of the data management server 5 performs a score change process by the score change method of this embodiment, which converts the original score into an updated user score through an absolute score. Therefore, the data management server 5 can also be formed as a score change system, and in the smartphone 3, it can also be formed to memorize the above-mentioned absolute score of the user of the smartphone 3 before the change, and the class to which the user belongs For the median μ and the deviation σ or the above conversion formula (or conversion data table), in order to calculate the user score as a changed score from the data, the smart phone 3 performs the score according to this embodiment How to change the score of the change method. At this time, the smartphone 3 can also be regarded as a point change system. At this time, the median μ and deviation σ of the category to which the user belongs or the above transformation formula (or transformation data table) can also be used when the user inputs attribute information such as skin type, address, age and the like through the smartphone 3 and transfers it to the servo In the case of the device 5, the server 5 is output to the smartphone 3 and memorized, and can also be generated and memorized based on the internal data held in advance by the application 5i inside the smartphone.

Next, the point change method in the point change system will be described. The point change method in the point change system is roughly divided into a combination of two methods. That is, the first method is to identify the skin portrait, and after the original score is determined according to the skin condition, all The user uses the common method to determine the absolute scoring method from the original score. The absolute score is an absolute score for users who have the same value of the original score (skin: measurement object = evaluation object), regardless of the category of the user.

The second method is based on the absolute rating, corresponding to the user of various categories to find the user rating method. That is, the second method is to derive the user score (post-change score) by changing the absolute score (pre-change score) according to each category. The user score is a case where even if the value of the original score of the user is the same, it will become a different value if the user belongs to a different category.

In the score change method of this embodiment, the original score as the score before the change is formed as the user score changed as the score after the change through the absolute score, but it may also be formed as the score change in the present embodiment The method does not include the engineer who calculated the absolute score from the original score. At this time, for example, the original score itself is treated as an absolute score, and the user score is calculated from the original score. In other words, the method for changing the score of the present embodiment may be a user score calculated from the original score, or a user score calculated from the absolute score.

Referring to the flowchart of FIG. 7, an outline of a method of changing the score calculated from the original score to the user score will be described. These processes are performed by the skin diagnosis section composed of the change information database 5c and the simple skin diagnosis program 5f. In the method for changing the score of this embodiment, an original score is added to the skin portrait uploaded by the user, the original score is changed to an absolute score, and then, when the absolute score is changed to the user score (relative In the process of scoring, a process of creating an absolute score calculation table 5d (step S1) and a process of creating a user score conversion table 5e (step S2) are performed as pre-processing. The method of creating the absolute score calculation table 5d and the user score conversion table 5e will be described later.

Absolute score calculation table 5d is basically a conversion data table or conversion that uses the absolute score calculated from the original score as the conversion data described later, basically according to each item of skin texture, fine lines, freckles, pores, whitening degree, and transparency. Typist. The user score conversion table 5e is a conversion data table or conversion formula that converts the absolute score into the user score in association with each item and each category as described later. Among them, as will be described later, the user's rating conversion table 5e may also be memorized with the median m and the deviation σ of the distribution of absolute scores distinguished according to each item and category, according to the median m And the deviation σ, calculate the transformation data table or transformation formula for each of the above categories.

Next, in the state where the preparation of the absolute score calculation table 5d and the user score conversion table 5e as the pre-processing are completed, the skin image is uploaded by the user in sequence and the skin image is determined according to the simple skin diagnosis program 5f The original score of each item is entered (step S3).

Next, the absolute score is calculated from the original score using the conversion formula or the conversion data table memorized in the absolute score calculation table 5d (step S4). From the absolute score calculated as described above, the user score conversion table 5e is used, and the conversion formula or the conversion data table related to the category to which the user to be evaluated belongs is used to calculate the user score (step Step S5). Next, together with the calculated absolute score, user score, and category of the user at the time of the measurement, it is stored in the skin history database 5b in association with the customer ID generation (step S6). In addition, the calculated user score is transmitted to the smartphone 3 and can be viewed by the smartphone 3 (step S7). In this score change method, if the original score is determined and input, the absolute score is obtained for the original score, and then, the processes from step S3 to step S7 for obtaining the user score from the absolute score are obtained.

Next, a method of calculating the absolute score including the absolute score calculation table 5d will be described.

In the calculation of the absolute score, the original scores of 6 items such as skin texture, fine lines, freckles, pores, whitening degree, and transparency are obtained from the above skin portrait. For example, taking a capillary pore as an example, calculate the original from the number of capillary pores in a predetermined range of the skin in the skin portrait, the number of capillary pores (capillary pores larger than a predetermined area) accumulated in the capillary pores, etc. fraction. Among them, as far as the calculation method of the original score is concerned, any scoring method can be used if it can be scored, but it is better to select a scoring method in which the distribution of the original score is as close as possible to the normal distribution. In addition, if the absolute score is set to 0 to 100 as described later, and the median is set to 50, most of the original scores are in the range of 0 to 100, and the original scores before and after 50 (for example, 40 to 60) The way of increasing the ratio, it is better to determine the original score.

For example, for the mother (1000 people), the original score of the capillary pores is determined according to a predetermined criterion, and a distribution chart of the original score is prepared. At this time, the scale on the horizontal axis is set to the value of the original score, and the scale on the vertical axis is set to the number of users who become each original score. At this time, to be formed as described above It is better if the distribution of the original scores is close to the normal distribution. For example, the distribution of the original scores is preferably in the state shown in the graph of FIG. 4. However, FIG. 4 is an example, and the distribution of raw scores is not limited to the state shown in FIG. 4.

Next, the median μ and deviation σ of the original scores are calculated. Among them, if the parent is set to the original score of 1000 users, the median is the order of the original score from large to small or from small to large, the 500th original score and the 501st original score average. Among them, if the parent is an odd number such as 999, the original score of the user who is just in the middle is directly set as the median. Next, the deviation σ of the original score is obtained. The deviation σ is the square root of the average of the values obtained by subtracting the median of the original scores from the squares of the original scores.

Next, in the above distribution diagram, by changing the horizontal axis scale, the original score is changed to an absolute score. That is, as shown in FIG. 5, the scale of the original score on the horizontal axis is changed to the scale of the absolute score. First, on the scale of the horizontal axis of the original score, the position of the median μ is set to 50 on the scale of the absolute score. In addition, on the scale of the original score, the value of three times the deviation σ obtained as described above, that is, 3σ, is added and subtracted to the median μ, which determines the scale position at which the median μ at the two upper and lower positions becomes 3σ. The scale of the absolute score corresponding to the original score with the median μ becoming 3σ or more is set to 0 and 100. That is, at the scale position of the original score, the scale of the absolute score at the μ-3σ position of the scale of the original score is set to 0, and the original score that exists below the scale position of 0 on the distribution graph sets the absolute score Is 0, the scale of the absolute score at the position of μ+3σ of the scale of the original score is set to 100, and the scale position existing at the scale of 100 exists on the distribution map with The original score on the system sets the absolute score to 100.

Next, in the scale of the absolute score of the distribution map, the area from 0 to 50 points is divided into 50, and the area from 50 to 100 points is divided into 50. Or you can divide the area from 0 to 100 points into 100 points.

Thus, for the original score of each user on the distribution chart of the original score, the value on the scale of the absolute score set as described above can be read. With this, the absolute score can be obtained from the original score. In the processing of this score change method, instead of reading the scale of the absolute score on the distribution map, it is made to convert each value of the scale of the original score into absolute according to the correspondence between the scale of the original score and the scale of the absolute score Conversion data (relation information) of each value of the scale of the score, and using this conversion data, an absolute score is calculated from the original score.

For example, if the original data is b1~bn and the absolute scores are a1~an, and the function that can convert the scale of the original score to the scale of the absolute score is f, The transformation expressed by an=f(bn). The transformation formula is composed of each value of the scale of the original score of the distribution graph of the original score, and each of the scales of the absolute score formed on the distribution map corresponding to the values of the scale of the original score, respectively, as described above The value of the correlation. Wherein, the conversion data may also be a conversion data table that generates a correlation between each value of the scale of the corresponding absolute score and each value of the scale of the original score. The transformation formula or transformation data table as transformation data obtained as shown above is related to the skin texture, fine lines, pores, freckles, whitening degree, and transparency, and is registered in the absolute change information database 5c. Score calculation form 5d.

By this, the absolute score of each person of the mother is determined. Among them, the absolute rating system averages 50, which is in the range of 0-100. The absolute score is derived from the original score through the above process, but when the absolute score is determined once, the above transformation formula or transformation data table (related table) can be obtained. Therefore, in the data management server, use the transformation formula or The related table calculates the absolute score when the original score of each item of each user is determined. Therefore, it is not necessary to perform the process until the conversion formula or the conversion data table is obtained as described above, that is, the process of preparing the absolute score calculation table 5d, which is performed every time the absolute score is calculated.

In other words, when the original score of the mother is read as described above and converted into an absolute score, the absolute score can be calculated from the original score based on the correlation between the original score and the absolute score. The above transformation formula or transformation data table. In the conversion data table, the absolute score is related to each original score, and the absolute score can be determined by the original score. This conversion formula or conversion data table is used in the data management server 5, and when an absolute score is calculated from each skin portrait and the original score as a result of a simple diagnosis, for example, if it is freckles, it is recognized by the portrait of the skin portrait, After obtaining the original score using the number of freckles in the predetermined range of the skin to be imaged, the area of each freckle, the color of each freckle, etc., the absolute score is calculated from the original score by the above conversion formula or conversion data table. Among them, in the state of using the data management server 5, according to the skin portrait input by the user, the data of the original scores are input in order. Compared with the number of the original scores of the mother used when the absolute score was calculated initially, the original scores The number is large. Therefore, it is preferable to press, for example, Each predetermined period of time, a process of creating the above-mentioned conversion formula or conversion data table for deriving an absolute score as described above, that is, a process of creating an absolute score calculation table 5d. That is, it can also be formed as a matrix for determining the absolute score based on the original score including the new original score, and the new absolute score scale can be used to create an absolute form with the above transformation formula or transformation data table. The process of calculating the score calculation table 5d to update the conversion formula or the conversion data table. The calculation of the absolute score is performed on the original scores of skin texture, fine lines, whitening degree, and transparency as in the case of pores or freckles.

Next, the creation processing of the user score conversion table 5e is included, and a method of calculating the user score from the absolute score for each category will be described. The category system is based on the 240 items determined by the above 3 items. For each user, the skin type database 5b obtains the above skin type data based on the customer ID, and the customer personal information management database 5a obtains the age (age) and residence area (address) data based on the customer ID. The data is determined for each user and is stored in the skin history database as described above.

The outline of the method of creating the user score conversion table 5e will be described with reference to the flowchart of FIG. 8. First, the sample data which becomes the absolute score of the mother of each category is obtained in advance (step S11). Here, for example, 50 pieces of sample data are prepared for each category as a matrix for absolute scoring. Next, the following processes are sequentially performed for all the categories (step S12).

Obtain the distribution of the absolute score of one category (step S13). For example, the distribution system uses the horizontal axis as the absolute score and the vertical axis as the test The number of samples. Next, the distribution of the absolute score of one category is regarded as a normal distribution, and the median m and the deviation σ are obtained from the distribution as described later (step S14). Next, the calculated median m and deviation σ are stored in the user score conversion table 5e in association with the occurrence of the category (step S15).

The processes from step S13 to step S15 are performed for all the categories, and the median m and the deviation σ of the sample data of the absolute score in all the categories are registered in the user score conversion table 5e. Among them, the median m and the deviation σ registered in the user score conversion table 5e for each category are used to find the conversion formula or conversion data for changing the absolute score to the user score for each category The table maker memorizes a conversion formula or conversion data table for calculating the user score for each category in place of the median m and the deviation σ in the user score conversion table 5e.

In the method of calculating the user score in this embodiment, that is, the method of changing the absolute score to the user score, the scale of the horizontal axis of the distribution graph is used in the same manner as when the absolute score is obtained from the original score. That is, after creating the above-mentioned absolute score distribution map for each category, the scale of the absolute score on the horizontal axis is changed to the scale of the user score shown in FIG. 6, thereby changing the absolute score to each category User ratings for.

First, for each category, the distribution of absolute scores for each item of the above-mentioned skin texture, fine lines, freckles, pores, whitening degree, and transparency of each user belonging to each category is made.

The median μ (category median m) of the above-described absolute score distribution map of the skin of each user belonging to each category belongs to the measurement target (evaluation target) of the user. The category deviation σ is obtained from the obtained category median m and each absolute score. That is, in all types of genera- tion, the absolute value of the subtraction of the median m is squared. Next, the sum of the squared values obtained by subtracting the median m from each absolute score is divided by the number of absolute scores to obtain an average value. Let the square root of the average be the deviation σ of the category. Among them, the average before taking the square root becomes the dispersion σ ² .

In this way, the distribution of the absolute scores, the median m, and the deviation σ of the users of each genus among the users belonging to the parent in each genus can be obtained.

That is, the median m and the deviation σ are obtained for each category. In the data management server 5 of this embodiment, in each item, the median m and the deviation σ for each category are stored as the user score conversion table 5e.

Then, the distribution map can be reproduced from the median m and the deviation σ of the absolute score memorized for each category as described above. At this time, the scale of the horizontal axis is set as the scale of the absolute score. In this state, the relative score is calculated from the absolute score in much the same way as the absolute score is obtained from the original score.

That is, the scale of the absolute score on the horizontal axis is changed to the scale of the user score. First, on the scale of the absolute score, the median m is added and subtracted to a value that is three times the deviation σ obtained as described above, that is, 3σ, and the scale position at which the median μ at the two upper and lower positions becomes 3σ is determined. The scale of the user score corresponding to the absolute score with the median μ becoming 3σ is set to 0 and 100. That is, at the scale position of the absolute score, the scale of the user score at the position of μ-3σ of the scale of the absolute score is set to 0, and the The user rating scale at the position of μ+3σ of the absolute rating scale is set to 100. At this time, the absolute score is set to μ+3σ or more, the user score is set to 100, the absolute score is set to μ-3σ or less, and the user score is set to 0.

Next, in the scale of the user rating of the distribution map, the area from 0 points to the median of the absolute score is divided into 50, and similarly, in the scale of the user rating of the distribution map, the median of the absolute score The area from μ to 100 points is divided into 50. Or you can divide the area from 0 to 100 points into 100 points.

With this, the scale of the user score can be created on the horizontal axis, and therefore the value on the scale of the user score of the score corresponding to each user on the distribution map of each category can be read. Among them, here, the distribution map is reproduced from the median m of each category and the deviation σ, etc., and the absolute scores are not depicted on the reproduced distribution map, so it cannot be used by actual users. Read the user's rating. Therefore, by the following processing, the absolute score is converted into a user score. That is, based on the correspondence between the scale of the absolute score and the scale of the user's score, a conversion formula for converting the value of each scale of the absolute score into the value of the scale of the user's score is prepared. By using this conversion formula, the user's score can be calculated from the actual absolute score instead of the scale value.

This conversion formula is, for example, if each absolute score is set to a1~an and each user score is set to a'1~a'n, the scale that can convert the absolute score to the scale of the user score as described above When set to f, it is represented by a'n=f(an). Basically, a conversion data table corresponding to the scale of the original score and the scale of the absolute score is prepared, and the conversion data The correlation between the scale of absolute ratings in the table and the scale of user ratings determines the function f.

Alternatively, a conversion data table may be formed in which the value of each scale of the absolute score corresponds to the value of the scale of the user score, and the user scorer is calculated from the absolute score based on the conversion data table. If the user score is obtained from the absolute score, it can also be formed as the conversion data used to convert the absolute score into the user score as described above, and the median m and the deviation of the absolute score of each category are memorized σ, from the median m and the deviation σ, the transformation formula or the transformation data table is calculated as described above. Using the transformation formula or the transformation data table, the absolute score is transformed into the user score, and the user score transformation table 5e The transformation formula or transformation data table obtained from the median m and the deviation σ as described above is memorized as transformation data, and the absolute score is transformed into the user score using the transformation formula or transformation data table.

The method of changing the score from the absolute score to the user score from the above is shown in the flowchart of FIG. 9. As described above, the category of the user to be evaluated is determined by the user's skin type, age, and address (step S21). Next, based on the category of the user, the conversion data is extracted from the user rating conversion table 5e (step S22). Next, based on the conversion data, the absolute score of the user is changed to the user score of the category of the user (step S23).

In the method of changing the score, the absolute score is obtained from the original score by the transformation formula or the conversion data table used to obtain the absolute score from the original score as described above, and the user evaluation is obtained from the absolute score The user-score is obtained from the absolute score of the conversion formula or conversion data table.

The score change system and the score change method as described above can suppress the situation where the median or maximum value of the scores differ greatly depending on the user's age and other categories. That is, regardless of the categories of the user to be measured, after all users determine the absolute score in the same way, for the absolute score, find the median m and the deviation σ for each category. According to the median m and deviation σ of this category, a new user rating scale is created in the distribution map.

Next, a conversion data table or a conversion formula is prepared based on the scale of the absolute score and the correlation with the scale of the user score, and the absolute score obtained as described above can be changed to the user score.

At this time, the scale of the user score is made by the median m of the absolute score and the deviation σ that are distinguished by category as described above. Therefore, in this embodiment, for example, the absolute score and the user score become In the setting of 0~100, in all categories, if the distribution of user ratings becomes roughly normal, the median can be 50, the minimum value can be 0, and the maximum value can be 100.

That is, to prevent the situation where most users in the 60s category are below the median of absolute ratings, and there are 0 points but no 100 points, the score can be scored in various categories The median of is set to approximately 50, and the maximum is set to 100.

In this way, it is possible to prevent the status of users who belong to the genus from being low due to the formation of the genus, and to not get 100 points, reduce the user’s desire, or conversely become a genus, belonging to the genus usage of The average score of the users is high and there are many users who get 100 points, which leads to user negligence.

Among them, in the scale of the absolute rating and the scale of the user rating, the position of μ-3σ is set to 0, the position of μ+3σ is set to 100, but the position of μ+3σ can also be set to 10, the score Set to 0~10.

In addition, for example, the scale position of 0 and 100 may be set to 2.5σ instead of 3σ, and the user who becomes 100 points may be increased, or conversely, the scale position of 0 or 100 may be set to 3.5σ and decreased to 100 points. The number of users. In addition, the position of μ-3σ may be set to a score of about 30 to 40 such as 37, and a score of 30 to 40 or less such as 0 to 37 may be formed to a degree of 30 to 40 points. That is, if the user's own rating is too low, the intention is reduced as described above. Therefore, it can be formed as a situation where the lowest point is greater than 0 and the user's intention is suppressed from extremely decreasing according to the score.

That is, the minimum or maximum value of the absolute score or the user's score and the deviation σ from the minimum or maximum value are arbitrary and can be set freely.

In addition, in the scale of the absolute score and the scale of the user score, the position of the median μ of the original score is set to 50, but the value of the median μ before the change or any setting may be used for this.

For example, in the absolute score of freckles, the age (age) item in the whole category is the median m of the absolute score of various categories of 10s becomes, for example, 60 to 65, and the maximum value becomes 100, relative to Therefore, there is a possibility that the median of the absolute scores of the 60-year-old items in various generations will be 30-35, and the maximum value will be 70-80.

That is to say, the absolute score of users in their 60s is quite low compared to users in their 10s, and if a full score of 100 is used, it may not be possible to obtain full marks. That is to say, users in their 60s have lower scores than users in their 10s, and no matter how skin care is performed, there will never be a case where the score becomes a full score. At this time, users in their 60s may lose interest in skin care.

On the other hand, for users in their 10s, since the score is high, there is a risk of losing interest in skin care without feeling the need for skin care.

On the other hand, after the absolute score is distinguished according to the user's category as described above, the median m and the deviation σ are obtained for each category, and the position of μ-3σ on the scale of the absolute score is determined as described above The user rating scale is set to 0, and the user rating scale at the position of μ+3σ of the absolute rating scale is set to 100. As mentioned above, the median becomes 50, so that even users in their 60s , You can also get 100 points (full score), and the user score of the users who become the median among the users in their 60s becomes 50. In this way, users in their 60s will not be discouraged or depressed unnecessarily, and the possibility of continuing skin photography or skin care will increase.

Conversely, if the user is in his 10s, the user's rating is lower than the absolute rating, so there is no situation where the user's self-confidence is excessive, so it is possible to suppress the loss of interest in skin care.

In addition, it may be formed as the original of a simple diagnosis result calculated on the skin image corresponding to the upload of the skin image from the user The score is updated according to the increase in the amount of data in the original score: the above items of skin texture, freckles, wrinkles, pores, whitening, and transparency are used to derive the absolute score transformation or conversion data table from the original score; press The above-mentioned median m and deviation σ of each category of each item; and the conversion formula or conversion data table used to calculate the user score from the absolute score according to each category of each item. That is to say, it may be formed to increase the data corresponding to the original score and re-create the above-mentioned various transformation data tables or transformation formulas.

That is, the update system of the above-mentioned median value m and the deviation σ of the initial value of each category as the items of skin texture, freckles, wrinkles, pores, whiteness, and transparency is also included in the skin history database 5b At a stage where the number of data increases to a certain extent, the data of the skin history database 5b is classified according to various categories, and the median m or deviation σ is recalculated from the data collection classified into various categories, or the median as the initial value is calculated The data set used for the median m and the deviation σ is used to recalculate the median m and the deviation σ, and is performed by replacing the median m and the deviation σ which are the initial values stored in the user score conversion table.

In addition, when the user score is determined, the correction term may be additionally considered, and the formula for calculating the user score from the absolute score may be formed as: a'n=f(an)+bn, and the correction term may be added to the above formula bn, those who make corrections by the correction term bn.

bn: Correction items based on the user's unique situation

For example, in the case where the user always has skin diseases or in the living environment life that adversely affects the skin, even if the user is scored, it is easy to appear that the evaluation is always bad, so it is easy to lose the skin measurement The question of motivation. If the information entered by the user is determined to be the case shown above, if bn is decided, the customer personal information management database stored in the server, for example, is referred to when the user rating is determined to calculate the user Just rate it.

So far, the method of determining μ and σ for each category and calculating the absolute score and user score based on this will be described, but it is not limited to this method. For example, in the simplest way to obtain user ratings, register the added value (possibly positive value or negative value) determined by each category in the user rating conversion table. When the user scores, the user score is obtained by adding the absolute score to the value stored in the user score conversion table corresponding to the category to which the user belongs.

In addition, if the score as a result of the simple diagnosis of the above items is displayed on the smartphone 3 to the user, the user score is basically displayed, but the absolute score may also be displayed according to the user's request, for example. In addition, you can also choose to display the user's score at all times, or display the absolute score at all times. In addition, you can switch the display of user ratings and the display of absolute ratings at any time by touching the display position of the ratings of the smartphone.

When the user rating is displayed on the smartphone 3, the rating can also display attribute information of the genre, such as northeast China, 30s, dry skin, etc., so as to indicate which genre the user belongs to Comment estimate.

In addition, a display using the score as shown above may be formed. If the score tends to decrease, an output such as a display (warning, warning) that draws attention to the user is performed.

From the above-mentioned user score conversion table 5e, the median m and the deviation σ of each item corresponding to the user's genre are extracted. Among them, the median m and the deviation σ of the category can be obtained from the data of the past month, or the one obtained from the data of the entire year of last year.

The area where the median m of each category in each item becomes -1σ or less is set as the "maintenance area", and if any user's score (or absolute score) of the user is "maintenance" m-1σ or less "Zone", it will output maintenance warning to the user. Among them, the "maintenance area" is basically a state in which the above-mentioned absolute score or user score is low, and here is a state in which some maintenance is better. In this embodiment, if the user rating or absolute rating becomes the "maintenance area", the situation is reported. That is, the user terminal of the user whose user rating or absolute rating is located in the "maintenance area", that is, the smartphone 3, when displaying, for example, the user rating or absolute rating, displays a warning to inform the user of the use The score or absolute score is in the "maintenance area". Among them, if the absolute score or the user score is located in the "maintenance area", it can also be formed as a person who reports maintenance information such as a maintenance method to the user.

In addition, the "maintenance area" may not be less than the above m-1σ, but as shown in FIG. 10, the average value Xn of the lower volatility of the user rating of each item of the user may be calculated as if the user rating Beyond flat When the average score is -Xn/2 and is lower, users who are in the "maintenance area" will display a warning on the smartphone 3 or output maintenance information as described above.

The average value Xn of the lower amplitude of user ratings refers to a score that forms a downward peak among the scores lower than the median or average, that is, the average value of the scores that become the apex of the downward peak.

In addition, for the maintenance area, for example, for new users with a small number of user ratings, the following information may be used to determine the individual's baseline, and compare the baseline with the current situation to output the above warning or maintenance information.

The baseline is an absolute score or a user score obtained when photographing the skin in a state where it is not exposed to sunlight, etc., compared with usual. Among them, the measurement of the baseline is preferably performed when the user uses the data management server 5 or the skin condition measurement device 1 for the first time. However, it may be performed at any timing in consideration of the above-mentioned conditions such as sun exposure. This baseline can be used to set the above "maintenance area", or in the above "maintenance area", the baseline can be used instead of the median m.

In addition, before reaching the "maintenance area", if the user score or absolute score becomes a tendency to decrease in multiple evaluations, the above warning or maintenance information may be output. At this time, for example, if the user score in the past 2 weeks is a tendency to decrease, the warning or user information is basically output. At this time, as shown in FIG. 11, for example, if the difference between the previous user score and the next user score is a decreasing trend, no warning or user information is output, and if the aforementioned difference is an increasing trend To output warnings or user information.

[Second Embodiment]

In the first embodiment, when each user is assigned to each of a plurality of categories, the age (age) is used as an element for assignment. That is, the ages are fixedly classified into 6 groups, such as 10s, 20s, 30s, 40s, 50s, and 60s. In the genre distinction as shown above, problems will arise when the user changes years. That is, considering that, for example, when a 19-year-old user has just become 20-year-old, the user score will drop, and conversely, when a 39-year-old user becomes a 40-year-old user score, the user score will rise sharply. This is also very likely to make the user's motive for continuous measurement of the skin lose, or damage the reliability of the system itself. This is a problem that must occur in a system that performs genre differentiation based on automatically changed attribute data.

Therefore, in this embodiment, as in the first embodiment corresponding to the first embodiment shown in FIG. 12, the age is divided into 10s, 20s, and 30s for each generation, not according to The m and σ are determined for each era, but as shown in Example 2 shown as corresponding to the second embodiment, the m and σ in a predetermined age range centering on this age for each age are determined.

For example, like 21, relative to a user who is 19 years old, the center is 19 years old and is formed as ±2 years old. The user data in the range of 17 to 21 years old determines m19 and σ19 and is stored in the data management server 5 user rating conversion table 5e. Similarly, such as 22~24, relative to the user who is 20 years old, the user resources in the range from 18 to 22 years old It is expected that the user data in the range from 19 to 23 years old for users aged 21 years, and the user data in the range from 20 to 24 years old for users aged 22 years The m and σ of each age are stored in the user score conversion table 5e.

In the above description, for simplicity, descriptions of other attributes, such as skin type and residence area, are omitted. However, in the same manner as in Example 1, the user rating conversion table 5e is determined for each skin type and residence area. , Σ and stored. For example, for the classification of 19-year-old (±2 years old) with dry skin and northeastern regions, determine a group of m and σ and remember them.

By being constructed as shown above, if the age is migrated, the sense of violation of user ratings that may be generated when the age group is migrated is released.

In addition, in the above description, the target age is ± 2 years old to determine m and σ, but it can also correspond to the age group with less skin changes due to age and the age group with more changes. ±1 year old, ±5 year old, ±9 year old to determine m and σ. The series 31 to 33 of Fig. 12 show an example of ±5 years old, and the series 41 of Fig. 12 show an example of ±9 years old. In the younger age group or the older age group, the number of users is often smaller than the age group in the range of 20 to 60 years old, so it may not be possible to obtain appropriate m and σ. In the case shown above, in order to make the number of mothers more appropriate, it is sufficient to set the positive and negative ranges.

[Third Embodiment]

The score change system and score change method in this embodiment are to analyze the skin portrait uploaded on the server to score the skin condition The first embodiment differs from the first embodiment in that it analyzes the skin portrait on the smartphone 3 and divides the skin condition into good and bad.

As shown in FIG. 13, the score change system of this embodiment is similar to the first embodiment, and includes: a skin condition measuring device 1, a smartphone 3 (smartphone) as a user terminal equipped with a skin condition measuring device 1 Mobile phone 3), and a data management server 5 that can be connected to the smart phone 3 via the Internet 4 (network).

This system requires users who are members of the skin condition measuring device (user terminal) 1 to use the skin condition measuring device 1 to obtain skin information data (measurement data), and within the smartphone 3, based on the skin information data The user’s data or skin information (measurement data) obtained through the smartphone 3 are sent to the customer’s personal information management data in the server 5, respectively, by analyzing the skin portrait and dividing the skin condition into scores and displaying them to the user. Store 5a, skin history database 5b and remember. The customer personal information management database 5a stores the customer ID, individual user ID, personal password, name, date of birth, age, gender, address 1 (country), address 2 (prefecture), and address 3 (city Towns and villages (districts)), address 4 (house number (building name room number)), email address, charge information (credit card information, etc.), the data entered as a user using the smartphone 3, according to the user Enter the information, set the category and remember it. In addition, among the input data of these users, attribute information such as the skin type, address, age, etc. of the category to which the user belongs or for determining the category is also stored in the memory section 3i.

The smartphone 3 is composed of: Input section 3b of user data from the user; display section 3c for displaying the fractionated skin condition; transmission and reception section 3d for exchanging data with the server 5 via the Internet 4; A simple skin diagnosis unit 3e for diagnosis/analysis of the skin information acquired by the device 1; a memory unit 3i that stores the change information database 5c having an absolute score calculation table 5d and a user score conversion table 5e; and a control that controls the above configuration部3a. However, if the skin condition measuring device 1 is a conversion lens, it is formed as a person who acquires the skin condition using a camera unit (not shown).

The data management server 5 is a smartphone 3 that becomes the terminal of most users. It can communicate data through the Internet 4 and is registered and manages the data of personal information or skin portraits uploaded by the smartphone 3 according to the user’s Request that data about the user be sent to the smartphone 3 and can be viewed on the smartphone 3.

As shown in FIG. 13, the data management server 5 basically functions as a computer system equipped with a database or a data table in which plural data about the user is registered, and has a memory such as a CPU, ROM, RAM, etc. The control unit 5j of a storage body such as a hard disk or a hard disk serves as a computer system. The data management server 5 includes a control unit 5j for functioning as a server, and a customer personal information management database 5a and a skin history database 5b as the aforementioned databases.

Explain the operation of this system. First, the user uses the skin condition measuring device 1 to input his own muscle information to the smartphone 3. The skin information of the user input through the input unit 3b is in the simple skin The diagnosis/analysis is performed in the diagnosis unit 3e. In the simple skin diagnosis unit 3e, as in Example 1, the absolute score calculation table 5d, the user score conversion table 5e, the category to which the user belongs, or the skin for category determination is used using the absolute score stored in the memory unit 3i Attribute information such as type, address, age, etc., calculate absolute ratings and user ratings. The display unit 3c notifies the result by displaying the calculated user score on the screen. The calculated absolute score and user score are sent to the data management server 5 through the transmission and reception unit 3d and the Internet 4, and are registered in the skin history database 5b.

The absolute score calculation table 5d and the user rating conversion table 5e in the smartphone 3 are those that are transferred from the server 5 and stored in the memory of the smartphone when the application 5i is installed on the smartphone 3, but can also be To be updated as necessary.

[Fourth Embodiment]

In the above embodiment, the method of first determining μ and σ according to each category and calculating the user's score based on the absolute score is described, but it is not limited to this method. For example, in the easiest way to obtain user ratings, the values that should be added according to each category (may have positive values and negative values) are registered in the user rating conversion table, and the user ratings are obtained At the time, the absolute score is added to the value stored in the user score conversion table corresponding to the category to which the user belongs, thereby obtaining the user score. FIG. 14 is an example in which it is easy to understand the contents of the user score conversion table at this time and is summarized in the table.

This is a combination of various ages, residences, and skin types, Decide to add bonus points when calculating user ratings. In this system, when the user score is calculated, the absolute score of the user who measures the data is calculated from the year, place of residence, and skin type of the user by referring to the corresponding extra score column to calculate the extra score, and the absolute score The extra points are added to calculate the relative score. For example, if the user is in his 10s, living in Hokkaido, and has normal skin, the user score is calculated by adding -20 points to the absolute score.

Here, the bonus points are determined based on the attribute data of the year, place of residence, and skin type, but other attribute data may also be included, such as the workplace environment (inside or outside the house), or more simplified.

In addition, the bonus points determined in the table can be processed separately to determine the user score. At this time, the table of FIG. 14 and the post-processing project are included to form a user rating conversion table.

1‧‧‧Skin condition measuring device

3‧‧‧smartphone (smartphone: user client: portable terminal: user data transmission method: measurement data transmission method: user score display method: skin condition measurement analysis system)

4‧‧‧ Internet (Internet)

5‧‧‧Data management server (skin condition measurement and analysis system)

5a‧‧‧Customer personal information management database (user information database)

5b‧‧‧Skin history database (database for measurement data)

5c‧‧‧Change information database (relational information memory means)

5d‧‧‧absolute score calculation form

5e‧‧‧User rating conversion table

5f‧‧‧Simple skin diagnostic program

5i‧‧‧ dedicated application

5j‧‧‧Control Department (Skin Condition Evaluation Department: Score output means after change)

Claims (8)

A skin condition measurement and analysis system, characterized by: a user client, which is used by a user of a skin condition measurement device, and a device capable of sending and receiving data with the skin condition measurement device It is connected to the network and connected to the network to send and receive data; and the data management server, which can send data to the user client through the network, and memory For the information related to the user, the user client is provided with: user data sending means, which sends user data including information about user attributes input by the user to the aforementioned Data management server; measurement data sending means, if the measurement data of the user measured by the skin condition measurement device is input by the skin condition measurement device, the input measurement data is transmitted to The aforementioned data management server; and user score display means, which displays the aforementioned score if the score is input from the data management server based on the aforementioned measurement data, the aforementioned data management server is provided with: a user information database , Which is registered as user data that contains information about the user attributes received by the user client; A database for measurement data, which is registered with the measurement data received by the user client; and a skin condition evaluation unit, which analyzes the measurement data received by the user client as a skin The score of the analysis result of the state is output to the user client, and the skin condition evaluation unit calculates the first score as the analysis result of the skin state from which the measurement data is analyzed, and based on the information about the attribute of the user. The first score applies a changed second score, and at least outputs the second score to the user client, and the skin condition evaluation unit is provided with: a relationship information memory means, whose memory represents the relationship between the first score and the second score Relationship information; and the changed score output means, which changes the first score of the user based on the relationship information, and outputs the second score, the relationship information stored in the relationship information memory means is based on the accumulated The aforementioned measurement data is updated with the measurement data of the database. A skin condition measurement and analysis system, characterized by: a user client, which is used by a user of a skin condition measurement device, and a device capable of sending and receiving data with the skin condition measurement device It is connected to the network and connected to the network to send and receive data; and the data management server, which can send data to the user client through the network, and memory Related to the aforementioned user For information, the user client is provided with: user data sending means, which sends user data including information about user attributes input by the user to the data management server; measurement data Sending means, if the measurement data of the user measured by the skin condition measuring device is input from the skin condition measuring device, and the input measurement data is sent to the data management server; and User score display means, if the score is input from the data management server based on the measurement data, the score is displayed. The data management server is provided with: a user information database, which is registered to include User data of the information about the user attributes received by the user client; a database for measurement data, which is registered with the measurement data received by the user client; and a skin condition evaluation unit , Which analyzes the measurement data received by the user client and outputs a score as an analysis result of the skin state to the user client, and the skin state evaluation unit calculates the skin as the analysis data The first score of the analysis result of the state, and the second score that applies a change to the first score based on the information about the user attribute, and at least outputs the second score to the user client, The aforementioned skin condition evaluation unit is provided with: relationship information memory means, which stores relationship information indicating the relationship between the first score and the second score set for each of plural categories classified according to information on user attributes ; And a modified score output means, which changes the first score of the user based on the relationship information set by the category to which the user belongs, and outputs the second score, which is memorized in the relationship information memory The relationship information of the means is updated based on the measurement data accumulated in the measurement data database. A skin condition measurement and analysis system, characterized by: a user client, which is used by a user of a skin condition measurement device, and a device capable of sending and receiving data with the skin condition measurement device It is connected to the network and connected to the network to send and receive data; and the data management server, which can send data to the user client through the network, and memory For the information related to the user, the user client is provided with: user data sending means, which sends user data including information about user attributes input by the user to the aforementioned Data management server; measurement data sending means, if the measurement data of the user measured by the skin condition measurement device is determined by the skin condition measurement device If the input is entered, the input measurement data will be sent to the data management server; and the user score display means, if the score is input from the data management server according to the measurement data, the score will be displayed, The aforementioned data management server is provided with: a user information database, which is registered user data including information about the aforementioned user attributes received by the aforementioned user client; and a database for measurement data, which is The measurement data received by the user client is registered; and a skin condition evaluation unit that analyzes the measurement data received by the user client and outputs a score as an analysis result of the skin condition to The user client, the skin condition evaluation unit calculates a first score that is an analysis result of the skin condition from which the measurement data is analyzed, and a second score that applies a change to the first score based on information about the user attribute Score, at least the second score is output to the user client, the skin condition evaluation unit is provided with: relationship information memory means, the system memory means that each of the plural categories classified according to the information about the attributes of the user The relationship information of the relationship between the first score and the second score set; and the changed score output means, which is based on the relationship information set by the category to which the user belongs, to change the first of the user Score, and output the second score, The aforementioned modified score output means changes the first score in such a manner that the representative value and the maximum value in the various categories of the second score after the various categories are changed are approximately the same in each category. A skin condition measurement and analysis system as claimed in item 3 of the patent scope, wherein the changed score output means is formed to change the original score as the analysis result of the skin condition from which the measurement data is analyzed to obtain the first score and then change the first A person who scores and obtains a second score is set so that the maximum value of the first score of each user before being distinguished by the aforementioned category becomes approximately the same as the maximum value of each category of the second score. A skin condition measurement and analysis method, which is a skin condition measurement and analysis method in a skin condition measurement and analysis system, the skin condition measurement and analysis system is provided with: a user client, which is used by a user of the skin condition measurement device, and Equipped with: a means for sending and receiving data that can be connected to the aforementioned skin condition measuring device and connected to a network for data sending and receiving; and a data management server, which can The user client sends and receives data through the network and memorizes the information associated with the user. The feature is that the user client performs: the user data sending step, which includes The user data of the information about the user attributes input by the aforementioned user is sent to the aforementioned data management server; The measurement data sending step is that if the measurement data of the user measured by the skin condition measurement device is input from the skin condition measurement device, the input measurement data is sent to the data management server ; And user score display step, which is based on the aforementioned measurement data, when the score is entered by the data management server, the score is displayed, the data management server is equipped with: user information database, which is registered User data including information about the user attributes received by the user client; and a database for measurement data, which is registered with the measurement data received by the user client, and, The skin condition evaluation step is performed, which analyzes the measurement data received by the user client and outputs the score as the analysis result of the skin condition to the user client. In the skin condition evaluation step, it is calculated as The first score that analyzes the analysis result of the skin condition of the measurement data and the second score that changes the first score based on the information about the user attribute, and at least outputs the second score to the user client In the aforementioned skin condition evaluation step, execute: a relationship information memory step, which is to store relationship information representing the relationship between the first score and the second score; and a score output step after the change, which is to change the aforementioned use according to the aforementioned relationship information The aforementioned first score, and output the second score, The relationship information stored in the relationship information storage step is updated based on the measurement data accumulated in the measurement data database. A skin condition measurement and analysis method, which is a skin condition measurement and analysis method in a skin condition measurement and analysis system, the skin condition measurement and analysis system is provided with: a user client, which is used by a user of the skin condition measurement device, and Equipped with: a means for sending and receiving data that can be connected to the aforementioned skin condition measuring device and connected to a network for data sending and receiving; and a data management server, which can The user client sends and receives data through the network and memorizes the information associated with the user. The feature is that the user client performs: the user data sending step, which includes The user data of the information about the user attributes input by the user is sent to the data management server; the measurement data sending step is the measurement of the user if measured by the skin condition measuring device The data is input by the skin condition measuring device, and the entered measurement data is sent to the data management server; and the user score display step is that if the score is input from the data management server based on the measurement data , The aforementioned score is displayed, and the aforementioned data management server is provided with: a user information database, which is registered to contain User data received by the client regarding the information of the aforementioned user attributes; and a database for measurement data, which is registered with the aforementioned measurement data received by the aforementioned user client, and performs the skin condition evaluation step , Which analyzes the measurement data received by the user client and outputs a score as the analysis result of the skin state to the user client, and calculates the measurement data as the analysis in the skin state evaluation step The first score of the analysis result of the skin state of the skin, and the second score that applies a change to the first score based on the information about the user attribute, at least the second score is output to the user client, in the skin state In the evaluation step, execute: a relationship information memory step, which is to store relationship information representing the relationship between the first score and the second score set for each of the plural categories classified according to the information about user attributes; and changes The post-score output step is to change the first score of the user based on the relationship information set by the category to which the user belongs, and output the second score, the previously memorized in the relationship information storage step The relationship information is updated based on the measurement data accumulated in the aforementioned measurement data database. A skin condition measurement and analysis method, which is a skin condition measurement and analysis method in a skin condition measurement and analysis system, the skin condition measurement and analysis system is provided with: a user client, which is used by a user of the skin condition measurement device It is used, and it is provided with: a means for sending and receiving data that can be connected to the aforementioned skin condition measuring device and connected to a network for data sending and receiving; and a data management server, which is It can send and receive data to the user client through the network, and memorize the information related to the user. The feature is that the user client performs: user data sending step, which is Transmit user data containing information about user attributes entered by the user to the data management server; measurement data sending step, which is the use of the skin condition measurement device The measurement data of the user is input by the skin condition measurement device, and the input measurement data is sent to the data management server; and the user score display step is based on the measurement data, and the score is determined by the data management server When entered, the aforementioned score is displayed. The aforementioned data management server is provided with: a user information database that is registered with user data including information received by the aforementioned user client regarding the aforementioned user attributes ; And a database for measurement data, which is registered with the measurement data received by the user client, and performs a skin condition evaluation step, which analyzes the measurement data received by the user client And it will be used as the skin condition The score of the analysis result is output to the user client, and in the skin condition evaluation step, the first score that is the analysis result of the skin condition from which the measurement data is analyzed is calculated, and based on the information about the user attribute The first score applies the changed second score, and at least outputs the second score to the user client. In the skin condition evaluation step, the relationship information memory step is executed, which means that the memory represents information based on user attributes. The relationship information of the relationship between the first score and the second score set for each of the classified plural categories; and the step of outputting the score after the change is based on the aforementioned relationship information set by the aforementioned category to which the aforementioned user belongs , Change the first score of the user, and output the second score. In the step of outputting the score after the change, the representative value and the maximum value of each category in the second category after the changed second category are used. The first score is changed in such a way that the genres become substantially the same as each other. A skin condition measurement and analysis method according to item 7 of the patent application range, wherein in the score change step after the change is formed to change the original score as the analysis result of the skin condition from which the measurement data is analyzed to obtain the first score and then change The person who obtains the second score with the first score is set so that the maximum value of the first score of each user before being distinguished by the aforementioned category becomes substantially the same as the maximum value of each category of the second score.

Images