JP2016146923A - Skin analysis system, skin analysis device, and program for skin analysis - Google Patents

Abstract

PROBLEM TO BE SOLVED: To help a customer select cosmetics fit for him/her in a convinced manner while receiving advice from a clerk based on the customer's objective skin condition analyzed by taking the environment into account.SOLUTION: A skin analysis system includes a skin condition analysis part 32 for replacing an absolute value of a skin condition indicated by measurement data with a relative stage evaluation value by environment data and a plurality of thresholds based on the measurement data indicating a skin condition measured by a skin condition measurement device, the environment data indicating a skin condition measurement environment, and a plurality of preset thresholds. The measurement data (absolute value) of the skin condition that can be changed by the environment is replaced with the relative stage evaluation value, and based on the stage evaluation value, an analysis result of the skin condition is displayed so that a real skin condition that cannot be known only by the absolute value of the measurement data for which the measurement environment is not considered can be presented as a result of the relative evaluation in an easily understandable manner.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a skin analysis system, a skin analysis device, and a skin analysis program, and is particularly suitable for use in a system that analyzes a customer's skin condition and presents the analysis result.

  Usually, it is very difficult for ordinary people to find out what is suitable for them from a wide variety of cosmetics on the market. In view of this, a store clerk at the cosmetics department advises which cosmetic product is suitable by confirming the skin condition of the customer visually or by hearing the skin condition from the customer. However, such advice based on visual observation and hearing is largely based on the personal experience and allegiance of the store clerk, and lacks objectivity.

  In contrast, by measuring the amount of moisture and oil content and analyzing the customer's skin condition and presenting the analysis results, it is possible to assist the store clerk in selecting and advising the best cosmetics for the customer. Such a system has been devised (see, for example, Patent Document 1).

  In the skin analysis system described in Patent Document 1, a fat analysis sample obtained by pressing a fat analysis tape that analyzes the amount of fat in the skin against a customer's skin, and a water retention function analysis for analyzing the water retention function of the skin The moisture analysis sample obtained by pressing the tape against the customer's skin is imaged, and two types of image data obtained thereby are transmitted from the customer terminal to the host device. The host device analyzes these two types of image data, performs skin analysis, and returns the result to the customer terminal.

  Specifically, for the two types of image data sent from the customer terminal, the host device is divided into three stages based on the ratio between the black part and the white part or the ratio between the colored part and the other part. Judge separately. Then, by combining them, the skin condition of the customer is classified into one of nine combination categories as a 3 × 3 matrix indicating the balance of moisture and fat content.

  In addition to this, the host device further sends the customer's age, the customer's residence area, and the season (four seasons) data collected from the customer terminal, and performs a comprehensive skin analysis including these. As human skin grows, human skin loses its flexibility, thins its skin, and loses its tension. In addition, depending on the change of seasons and the residential area, the influence of temperature and humidity affects the skin, and the balance of moisture and fat content of the skin also changes.

  Accordingly, the combination of nine categories indicating the balance of moisture and fat content and three classification data regarding age, residential area, and season (four seasons) are combined to classify the customer's skin condition into 2520 categories. For each category, the host device prepares comments indicating skin conditions, skin care methods, and preferred cosmetics. Select the necessary items from these, send them to the customer terminal, and display them. Let

  A system for diagnosing the skin condition from the measurement data of the skin condition and the environmental data representing the environment at that time is also disclosed in Patent Document 2, for example. In the skin condition detection device described in Patent Document 2, when measurement data and air environment data are input from the skin condition measurement unit and the environment measurement unit, respectively, the symptom diagnosis unit performs [epidermis], [moisture], [blood From the flow, fiber tissue, and sebum data and the air temperature at that time, the temperature and humidity data, based on the theory of general skin, the user's current Diagnose skin condition. The general theory of skin is that the epidermis is rough, so it is highly sensitive to skin irritation, or it is sensitive to dryness, and because the fibrous tissue is disturbed, it is highly sensitive to ultraviolet rays. This refers to skin expertise.

JP 2004-354207 A Japanese Patent Laid-Open No. 2005-293981

  According to the system described in Patent Document 1, in order to select cosmetics taking into account not only measurement data representing the customer's skin condition but also environmental data such as the customer's residential area and season, the current skin of the customer's skin is selected. The condition can be analyzed objectively and accurately, and the optimal cosmetics for the customer can be selected according to the analysis result.

  However, for that purpose, as many as 2520 categories are required, and master data to which an optimal cosmetic product is assigned for each category has to be created, and there is a problem that the creation takes a lot of labor and time. In particular, new products are often released one after another for cosmetics, and there is a problem that maintenance of master data is required each time.

  Further, in the system described in Patent Document 1, cosmetics selected based on the skin diagnosis result are determined in advance by master data, and the selected cosmetics are uniform. Although the selection of cosmetics is based on objective measurement data of the skin, from the customer's perspective, it is not clear what criteria are used to select cosmetics according to the system. For this reason, there is a problem that a customer who wants to purchase cosmetics that suits herself while receiving advice from a store clerk based on the skin diagnosis results cannot always select satisfactory cosmetics.

  Patent Document 2 discloses that skin condition is diagnosed from skin condition measurement data and air environment data. However, skin based on general skin theory (skin expertise) It only describes that the condition is diagnosed, and does not describe any specific method for how to use the air environment data for diagnosis.

  The present invention was made to solve such problems, and based on the customer's objective skin condition analyzed with the environment taken into account, the customer received the advice from the store clerk and met him / her. The purpose is to be able to support the selection and selection of cosmetics.

  In order to solve the above-described problems, the present invention is based on measurement data representing a skin condition measured by a skin condition measurement device, environment data representing a measurement environment of the skin condition, and a plurality of preset threshold values. Then, the absolute value of the skin state represented by the measurement data is replaced with a relative stage evaluation value by the environmental data and a plurality of threshold values, and the analysis result of the skin state is displayed based on the replaced stage evaluation value. ing.

  According to the present invention configured as described above, measurement data (absolute value) of the skin condition that can change depending on the environment at the time of measuring the skin condition is a relative step based on the environmental data at that time and a plurality of threshold values. Since the analysis result of the skin condition is displayed based on the evaluation value and the evaluation value is replaced, the true skin condition that is not known only by the absolute value of the measurement data that does not consider the measurement environment is the result of the relative evaluation Will be presented in an easy-to-understand manner. Thereby, the salesclerk who confirmed this presentation can give appropriate advice regarding cosmetics suitable for the customer based on the objective skin condition of the customer analyzed in consideration of the environment at the time of measurement. Therefore, the customer can convince and select the cosmetics suitable for him / her while receiving advice from the store clerk.

It is a figure which shows the example of whole structure of the skin analysis system by this embodiment. It is a block diagram which shows the function structural example with which the shop terminal and analysis server apparatus of this embodiment are provided. It is a figure which shows an example of the correction parameter used with the correction formula regarding a water | moisture content. It is a figure which shows an example of the correction parameter used with the correction type | formula regarding an oil component. It is a figure which shows the example of the color classification or pattern classification of 5-step evaluation. It is a figure which shows the specific example of a display of 5 step | paragraph evaluation. It is a figure which shows the other example of a display of 5 step | paragraph evaluation. It is a block diagram which shows the function structural example with which the shop terminal which concerns on the modification of this embodiment is provided.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating an example of the overall configuration of the skin analysis system according to the present embodiment. As shown in FIG. 1, the present embodiment and the skin analysis system are configured to include a moisture measuring device 10 </ b> A, an oil content measuring device 10 </ b> B, a store terminal 20, and an analysis server device 30. The store terminal 20 and the analysis server device 30 are connected via a communication network 50 such as the Internet or a LAN.

  The moisture measuring device 10A and the oil content measuring device 10B correspond to the skin condition measuring device in the claims. The moisture measuring device 10A measures the state relating to the moisture of the skin and outputs measurement data representing the moisture state of the skin. In the present embodiment, the moisture measuring device 10A is a type capable of measuring the moisture content in the surface layer of the skin and the moisture content in the deep layer, and outputs the measurement data. The oil content measuring instrument 10B measures the state relating to the oil content of the skin and outputs measurement data representing the oil content state of the skin. In the present embodiment, the oil content measuring device 10B is a type that can measure the amount of oil content on the surface layer of the skin, and outputs the measurement data.

  In addition, although the moisture measuring device 10A and the oil content measuring device 10B are separately provided and the skin water content and the oil content are individually measured by these devices are described here, the present invention is not limited to this. For example, a measuring device capable of simultaneously measuring the moisture content and oil content of the skin may be used.

  The store terminal 20 inputs measurement data from the moisture measuring device 10A and the oil content measuring device 10B and transmits it to the analysis server device 30 to request analysis of the skin condition. And the shop terminal 20 receives the result of the analysis by the analysis server apparatus 30, and displays it on the display which is not shown in figure. The analysis server device 30 analyzes the skin state measurement data transmitted from the store terminal 20 and returns the result to the store terminal 20. In the present embodiment, the analysis server device 30 corresponds to the skin analysis device in the claims.

  In the present embodiment, as will be described in detail below, the analysis server device 30 is based on measurement data representing a skin condition, environment data representing a measurement environment of the skin condition, and a plurality of preset threshold values. The absolute value of the skin state represented by the measurement data is replaced with a relative stage evaluation value by the environmental data and a plurality of threshold values, and the replaced stage evaluation value is transmitted to the store terminal 20 as analysis data.

  FIG. 2 is a block diagram illustrating a functional configuration example provided in the store terminal 20 and the analysis server device 30 of the present embodiment. As shown in FIG. 2, the store terminal 20 includes a measurement data input unit 21, an environment data input unit 22, an analysis request unit 23, an analysis data reception unit 24, and an analysis result display unit 25 as functional configurations. Moreover, the analysis server apparatus 30 is provided with the analysis request | requirement reception part 31, the skin condition analysis part 32, and the analysis data transmission part 33 as the function structure.

  The functional blocks 21 to 25 of the store terminal 20 can be configured by any of hardware, DSP (Digital Signal Processor), and software. For example, when configured by software, each of the functional blocks 21 to 25 is actually configured by including a CPU, RAM, and ROM of a computer, and is stored in a recording medium such as a RAM, ROM, hard disk, or semiconductor memory. Is realized by operating.

  Similarly, the functional blocks 31 to 33 of the analysis server device 30 can also be configured by any of hardware, DSP, and software. For example, when configured by software, each of the functional blocks 31 to 33 actually includes a CPU, RAM, ROM, etc. of a computer, and is stored in a recording medium such as a RAM, ROM, hard disk, or semiconductor memory. Is realized by operating.

  The measurement data input unit 21 of the store terminal 20 inputs skin state measurement data (surface water content, deep water content, and oil content) output from the moisture measuring device 10A and the oil content measuring device 10B. Then, the input measurement data is output to the analysis request unit 23 and the analysis result display unit 25.

  The environmental data input unit 22 inputs environmental data representing the skin environment measurement environment. Then, the input environmental data is output to the analysis request unit 23. The environmental data input here includes moisture-related environmental data that can affect skin moisture measurement data and oil-related environment data that can affect skin oil measurement data.

  The moisture-related environment data includes long-term environment data that represents a long-term environment including when the skin condition is measured, and short-term environment data that represents a short-term environment when the skin condition is measured. The long-term environmental data is, for example, data related to seasons and regions. The short-term environment data is, for example, data related to temperature, humidity, weather, and atmospheric pressure. These long-term environment data and short-term environment data are input by a store clerk operating the store terminal 20 using an operation device such as a keyboard or a mouse of the store terminal 20. In addition, about the data measurable with a meter like air temperature, humidity, and atmospheric pressure, you may make it input the data measured with these meters.

  The oil-related environment data also includes long-term environment data that represents a long-term environment including when the skin condition is measured, and short-term environment data that represents a short-term environment when the skin condition is measured. The long-term environmental data is, for example, data related to seasons and regions. The short-term environment data is data relating to, for example, temperature, humidity, time since face washing, sunshine, and meals (greasy things). These long-term environment data and short-term environment data are input by a store clerk operating the store terminal 20 using an operation device such as a keyboard or a mouse of the store terminal 20. In addition, about the data which can be measured with instruments, such as temperature and humidity, you may make it input the data measured with these instruments.

  The analysis request unit 23 transmits the measurement data input by the measurement data input unit 21 and the environment data input by the environment data input unit 22 to the analysis server device 30 to request analysis of the skin condition. The analysis data receiving unit 24 receives analysis data representing the analysis result of the skin condition transmitted from the analysis server device 30 as a response to the analysis request. The analysis result display unit 25 displays the analysis result of the skin state on the display based on the analysis data received by the analysis data receiving unit 24.

  The analysis request receiving unit 31 of the analysis server device 30 receives the measurement data and the environment data transmitted from the store terminal 20 and receives a request for analyzing the skin condition. The analysis request receiving unit 31 corresponds to a measurement data acquisition unit and an environment data acquisition unit in the claims.

  The skin condition analysis unit 32 calculates the absolute value of the skin condition represented by the measurement data based on the measurement data and environment data received by the analysis request reception unit 31 and a plurality of preset threshold values. And by using a plurality of threshold values, the relative grade value is substituted.

  In the present embodiment, the skin condition analysis unit 32 corrects the measurement data based on the environmental data, compares the corrected measurement data with a plurality of threshold values, and calculates the absolute value of the skin condition represented by the measurement data. Replace with graded value. The measurement data is corrected according to the following correction formula including a function using the long-term environment data as a parameter and a function using the short-term environment data as a parameter.

Here, Formula 1 shows a correction formula related to moisture (common to both surface layer moisture and deep layer moisture), and Formula 2 shows a correction formula related to oil content. In Equation 1, M _t is the corrected moisture content, M _m is the corrected moisture content (measured value by the moisture measuring device 10A, which is indicated by the measurement data received by the analysis request receiving unit 31), α _i is a correction parameter for long-term environmental data, and β _i is a correction parameter for short-term environmental data.

Further, in the equation 2, S _t is oil amount after correction, S _m is uncorrected oil amount (the measured value by the oil content meter 10B, those represented by the measurement data received by the analysis request receiving unit 31) , Γ _i are correction parameters for long-term environmental data, and ω _i are correction parameters for short-term environmental data.

FIG. 3 is a diagram illustrating an example of a correction parameter α _i related to long-term environmental data and a correction parameter β _j related to short-term environmental data used in correction equations related to moisture (surface moisture and deep moisture). FIGS. 3A and 3B show correction parameters α ₁ and α ₂ relating to seasons and regions as an example of long-term environmental data. FIG. 3C to FIG. 3F show correction parameters β _{1 to} β ₄ relating to temperature, humidity, weather, and atmospheric pressure as an example of short-term environmental data.

In general, as the humidity increases, the evaporation of sweat may be hindered, or more water molecules may be present in the vicinity of the skin. Conversely, the correction value of the moisture amount is increased as the humidity decreases. That is, a correction parameter having a smaller value is set as the humidity increases, and a correction parameter having a larger value is set as the humidity decreases. The correction parameters α ₁ , α ₂ and β _{1 to} β ₄ shown in FIG. 3 are all set from this viewpoint.

For example, the correction parameter α ₁ relating to the season shown in FIG. 3A is α ₁₁ when the season indicated by the environmental data is winter, α ₁₂ when spring, α ₁₃ when autumn, and α ₁₄ when summer. (However, α ₁₁ > α ₁₂ ≧ α ₁₃ > α ₁₄ ). In general, the average humidity varies depending on the season. Therefore, generally the humidity is minimized by setting the larger correction parameter alpha ₁₁ of the most value for the winter, and set smaller the correction parameter alpha ₁₄ most values for summer humidity is maximized, spring and autumn Sets correction parameters α ₁₂ and α ₁₃ having intermediate values.

Note that when considering monthly changes in terms of seasonal factors, for example, using the constants a and θ and the month parameter m (m = 1 to 12), the seasonal correction parameter α ₁ is calculated by the following equation. You may do it.
α ₁ = a · sin {(2π / 12) m + θ}

Further, the correction parameter α ₂ regarding the region shown in FIG. 3B is α ₂₁ when the region indicated by the environmental data is north of Kanto, and α ₂₂ when the region is south of Kanto (where α ₂₁ > α ₂₂ ). And are preset. In general, since the humidity is lower in the region north of Kanto, the correction parameter α ₂₁ having a larger value is set, and in the region south of the Kanto region, the humidity is higher, and the correction parameter α ₂₂ having a smaller value is set. Here, the area is divided into north and south, but it may be divided into three or more areas. Moreover, you may make it divide into the area on the Pacific side and the area on the Sea of Japan side.

Further, the correction parameter β ₁ related to the temperature shown in FIG. 3C is β ₁₁ , β ₁₂ , β ₁₃ , β ₁₄ , β ₁₅ (where β ₁₁ > β ₁₂ > according to the temperature indicated by the environmental data. β ₁₃ > β ₁₄ > β ₁₅ ) and five values are preset. Further, the correction parameter β ₂ related to humidity shown in FIG. 3D is β ₂₁ , β ₂₂ , β ₂₃ , β ₂₄ , β ₂₅ (where β ₂₁ > β ₂₂ > according to the humidity indicated by the environmental data. β ₂₃ > β ₂₄ > β ₂₅ ) and five values are preset.

Further, the correction parameter β ₃ related to the weather shown in FIG. 3 (e) is β ₃₁ , β ₃₂ , β ₃₃ , β ₃₄ (however, depending on the weather (snow, clear, cloudy, rain) indicated by the environmental data. β ₃₁ > β ₃₂ > β ₃₃ > β ₃₄ ) and four values are preset. Further, the correction parameter β ₄ related to the atmospheric pressure shown in FIG. 3F is β ₄₁ , β ₄₂ , β ₄₃ , β ₄₄ , β ₄₅ (where β ₄₁ > β ₄₂ > according to the atmospheric pressure indicated by the environmental data. β ₄₃ > β ₄₄ > β ₄₅ ) and five values are preset.

FIG. 4 is a diagram showing an example of a correction parameter γ _i related to long-term environmental data and a correction parameter ω _j related to short-term environmental data used in the correction formula related to oil. 4A and 4B show correction parameters γ ₁ and γ ₂ relating to seasons and regions as an example of long-term environmental data. FIGS. 4C to 4G show correction parameters ω _{1 to} ω ₅ related to temperature, humidity, time since face washing, sunshine, and meals (greasy food) as an example of short-term environmental data.

For example, the correction parameter γ ₁ relating to the season shown in FIG. 4A is γ ₁₁ when the season indicated by the environmental data is winter, γ ₁₂ when spring, γ ₁₃ when autumn, and γ ₁₄ when summer. (However, γ ₁₁ > γ ₁₂ ≧ γ ₁₃ > γ ₁₄ ) is set in advance. In general, the average sunshine varies depending on the season. If the sunshine is strong, the amount of sebum secreted tends to increase, so the value of the correction parameter is decreased. Conversely, if the sunshine is weak, the amount of sebum secreted tends to decrease, so the value of the correction parameter is increased. Therefore, the correction parameter γ ₁₁ with the largest value is generally set for the winter when the sunshine is the weakest, and the correction parameter γ ₁₄ with the smallest value is set for the summer when the sunshine is the strongest. Sets correction parameters γ ₁₂ and γ ₁₃ having intermediate values.

Note that when considering monthly changes in terms of seasonal factors, for example, using the constants b and θ and the month parameter m (m = 1 to 12), the seasonal correction parameter γ ₁ is calculated by the following equation. You may do it.
γ ₁ = b · sin {(2π / 12) m + θ}

The correction parameter γ ₂ related to the region shown in FIG. 4B is γ ₂₁ when the region indicated by the environmental data is north from Kanto, and γ ₂₂ when the region is south from Kanto (where γ ₂₁ > γ ₂₂ ). And are preset. In general, the correction parameter γ ₂₁ having a large value is set since the sunshine is weaker in the region north of the Kanto region, and the correction parameter γ ₂₂ having a small value is set in the region south of the Kanto region because the sunshine becomes stronger. Here, the area is divided into north and south, but it may be divided into three or more areas. Moreover, you may make it divide into the area on the Pacific side and the area on the Sea of Japan side.

Further, the correction parameter ω ₁ related to the air temperature shown in FIG. 4C is ω ₁₁ , ω ₁₂ , ω ₁₃ , ω ₁₄ , ω ₁₅ (where ω ₁₁ > ω ₁₂ > ω ₁₃ > ω ₁₄ > ω ₁₅ ) and five values are preset. If the temperature is high, the amount of sebum secreted tends to increase, so the value of the correction parameter is decreased. Conversely, if the temperature is low, the amount of sebum secreted tends to decrease, so the value of the correction parameter is increased.

Further, the correction parameter ω ₂ related to humidity shown in FIG. 4D is ω ₂₁ , ω ₂₂ , ω ₂₃ , ω ₂₄ , ω ₂₅ (where ω ₂₁ > ω ₂₂ >) according to the humidity indicated by the environmental data. ω ₂₃ > ω ₂₄ > ω ₂₅ ) and five values are preset. If the humidity is high, the amount of sebum secreted tends to increase, so the value of the correction parameter is reduced. Conversely, if the humidity is low, the amount of sebum secreted tends to decrease, so the value of the correction parameter is increased.

Further, the correction parameter ω ₃ related to the time from the face wash shown in FIG. 4E is ω ₃₁ , ω ₃₂ , ω ₃₃ , ω ₃₄ , ω ₃₅ (however, depending on the time from the face wash indicated by the environmental data ω ₃₁ > ω ₃₂ > ω ₃₃ > ω ₃₄ > ω ₃₅ ) and five values are preset. If the time from face washing is long, the amount of sebum secreted tends to remain on the skin surface, so the value of the correction parameter is reduced. On the contrary, if the time from face washing is short, the amount of sebum secreted and remaining on the skin surface tends not to be so large, so the value of the correction parameter is increased.

Further, the correction parameter ω ₄ related to sunshine shown in FIG. 4F is ω ₄₁ , ω ₄₂ (where ω ₄₁ > ω ₄₂ ) and two values according to the sunshine (strong or weak) indicated by the environmental data. Is preset.

Also, the correction parameter ω ₅ related to the meal shown in FIG. 4 (g) is ω ₅₁ , ω ₅₂ (where ω ₅₁ , depending on the meal indicated by the environmental data (whether or not a greasy food was eaten within the last predetermined time)) ₅₁ > ω ₅₂ ) and two values are preset. If you eat greasy foods, the amount of sebum secreted tends to increase, so the value of the correction parameter is reduced. On the contrary, since the amount of sebum secreted tends to decrease if the user does not eat greasy food, the value of the correction parameter is increased.

Here, although two correction parameters ω ₅₁ and ω ₅₂ are set according to whether or not a greasy food is eaten, three or more correction parameters are set according to what kind of meal is specifically eaten. May be set.

The skin condition analysis unit 32 stores in advance table data of each correction parameter α ₁ , α ₂ , β _{1 to} β ₄ as shown in FIG. 3, and corresponds to the environmental data received by the analysis request reception unit 31. Correction parameters α _i (i = 1, 2) and β _j (j = 1 to 4) to be obtained are obtained from the table data and substituted into Equation 1. Further, the amount of water M _m indicated by the measurement data received by the analysis request accepting unit 31 is also substituted into Equation 1. Thereby, the correction value M _t of the moisture amount is calculated.

Furthermore, the skin condition analysis unit 32 compares the moisture amount correction value M _t with a plurality of threshold values, and replaces the absolute value of the skin condition represented by the measurement data with the step evaluation value. For example, the skin moisture state is evaluated in five stages by comparing the moisture amount correction value M _t with the four threshold values th1 to th4. For example, when the moisture amount correction value M _t is larger than the largest threshold value th1, it is evaluated as level 1 indicating a state where the moisture amount is the largest. Conversely, if the moisture content of the correction value M _t is smaller than the smallest threshold th4, the water amount is evaluated as level 5 indicating the smallest state.

Similarly, the skin condition analysis unit 32 stores in advance table data of correction parameters γ ₁ , γ ₂ , and ω _{1 to} ω ₅ as shown in FIG. 4 and the environment received by the analysis request reception unit 31. Correction parameters γ _i (i = 1, 2) and ω _j (j = 1 to 5) corresponding to the data are obtained from the table data and substituted into Equation 2. Further, the oil amount S _m indicated by the measurement data received by the analysis request accepting unit 31 is also substituted into Equation 2. Thus, to calculate the oil amount of the correction value S _t.

Furthermore, the skin condition analysis unit 32 compares the oil amount correction value _St with a plurality of threshold values, and replaces the absolute value of the skin condition represented by the measurement data with a step evaluation value. For example, by comparing the oil amount of the correction value S _t and four thresholds Th1'～th4 ', to out the skin oil state. For example, if the oil amount of the correction value S _t is larger than the largest threshold value th1 'evaluates the level 1 indicating the oil largest amount state. Conversely, if the oil amount of the correction value S _t is less than the smallest threshold th4 'evaluates the level 5 indicating the smallest state oil quantity.

The analysis data transmission unit 33 transmits the stage evaluation value (a value indicating one of level 1 to level 5) analyzed by the skin condition analysis unit 32 to the store terminal 20 as analysis data. The analysis data transmission unit 33 corresponds to an analysis result output unit in the claims. That is, the analysis data transmission unit 33 outputs the stage evaluation value analyzed by the skin condition analysis unit 32 in order to display the analysis result of the skin condition at the store terminal 20. Incidentally, analytical data transmitter 33, along with the rated value, the correction value M _t calculated by the skin condition analysis unit 32, may transmit a S _t.

  As described above, the analysis result display unit 25 of the store terminal 20 displays the analysis result of the skin condition on the display based on the analysis data received by the analysis data receiving unit 24. Various modes can be applied as the display method. For example, it is possible to display the values of the five-level evaluation for each of the surface layer moisture, the deep layer moisture and the oil as numerical values. Or you may make it display the value of 5-step evaluation regarding each of surface layer moisture, deep layer moisture, and oil content as a triangular radar chart.

  Or as shown in FIG. 5, you may make it display the result of 5-step evaluation regarding each of surface layer moisture, deep layer moisture, and oil content by color classification or pattern classification. FIG. 6 is a diagram illustrating a specific display example in the case where the result of the five-level evaluation is displayed by color classification or pattern classification. In the example of FIG. 6, measurement data (absolute values measured by the moisture measuring device 10 </ b> A and the oil content measuring device 10 </ b> B) regarding each of the surface layer moisture, the deep layer moisture, and the oil content are displayed as numerical values, and five levels are displayed by the skin condition analysis unit 32. The analysis result of evaluation is displayed as background color or pattern.

  In the example of FIG. 6, the measurement data (absolute value) is 149 with respect to the moisture content of the surface layer, and the relative stage evaluation value is shown as level 3 by the background color or background pattern of the numerical value. . Regarding the moisture content in the deep layer, the measurement data (absolute value) is 723, and the background color or background pattern of the numerical value indicates that the relative step evaluation value is level 2. As for the oil content, the measurement data (absolute value) is 1754, and the relative stage evaluation value is shown as level 4 by the background color or background pattern of the numerical value.

  As described above in detail, according to the skin analysis system of the present embodiment, the measurement data (absolute value) of the skin state that can change depending on the environment at the time of measuring the skin state is the environmental data at that time and a plurality of threshold values. Based on the relative evaluation value (any one of levels 1 to 5), the analysis result of the skin condition is displayed based on the relative evaluation value. For this reason, the true skin condition that cannot be understood only by the absolute value of the measurement data that does not take the measurement environment into consideration (the degree of moisture and oil content that the customer originally has, regardless of the environment at that time) ) Will be presented in an easy-to-understand manner as a result of relative evaluation. Thereby, the salesclerk who confirmed this presentation can give appropriate advice regarding cosmetics suitable for the customer based on the objective skin condition of the customer analyzed in consideration of the environment at the time of measurement. Therefore, the customer can convince and select the cosmetics suitable for him / her while receiving advice from the store clerk.

  In the above embodiment, an example is described in which the water content is corrected according to Equation 1 using the long-term environment data α and the short-term environment data β, and the oil amount is corrected according to Equation 2 using the long-term environment data γ and the short-term environment data ω. Although described, the correction formula is not limited to this. For example, only the short-term environmental data β and ω may be used to correct the water content and the oil content according to the following equations 3 and 4.

  Moreover, although the skin state analysis part 32 demonstrated the example which correct | amends measurement data based on environmental data in the said embodiment, this invention is not limited to this. For example, the skin condition analysis unit 32 corrects a plurality of threshold values based on the environmental data, compares the corrected plurality of threshold values with the measurement data, and evaluates the absolute value of the skin condition represented by the measurement data in stages. A value may be substituted.

As an example, the skin condition analysis unit 32 calculates a threshold correction value M _t ′ related to moisture (surface layer moisture and deep layer moisture) by the following equation 5 and calculates a threshold correction value _St ′ related to oil by Equation 6. To do. Then, the threshold value is corrected by adding the calculated moisture correction value M _t ′ to each of the moisture threshold values Th1 to Th4. Also, to correct the threshold value by adding each 'threshold Th1'~Th4 of oil' correction value S _t of the calculated oil content.

  Moreover, although the said embodiment demonstrated the example which analyzes a skin state based on the measurement data of 1 time by 10 A of moisture measuring devices, and the oil content measuring device 10B, this invention is not limited to this. For example, for example, a plurality of measurements may be performed, and the skin condition may be analyzed using the average value or median value as measurement data.

  In addition, measurement may be performed at a plurality of locations on the customer's face (for example, a plurality of locations corresponding to the T zone and the U zone), and the skin condition may be analyzed for each measurement location using each measurement data. . In this case, the analysis result is displayed for each measurement location. For example, according to the table format as shown in FIG. 6, the analysis result can be displayed for each of a plurality of measurement locations.

  Alternatively, as shown in FIG. 7, it is possible to display a mark 71 indicating a plurality of measurement locations on the face image, and display the mark 71 by color or pattern according to the step evaluation value. In this case, the measurement data may be displayed together at each measurement location. In addition, the example of FIG. 7 has shown the analysis result of surface layer moisture. The analysis results of the surface layer moisture, the deep layer moisture, and the oil component can be switched and displayed by pressing the switching button 72.

  Moreover, although the said embodiment demonstrated the example using the shop terminal 20, this invention is not limited to this. For example, a customer terminal (for example, a smartphone, a tablet terminal, or the like) may be used instead of the store terminal 20.

  Moreover, although the said embodiment requested | required the analysis of the skin state from the store terminal 20 to the analysis server apparatus 30, and demonstrated the example which returns the result analyzed in the analysis server apparatus 30 to the store terminal 20, this invention is limited to this. Not. For example, the analysis server device 30 may not be provided, and it may be configured as a stand-alone type that performs analysis at the store terminal 20.

  FIG. 8 is a diagram illustrating an example of a stand-alone type functional configuration that performs analysis in the store terminal 20 ′. As illustrated in FIG. 8, the store terminal 20 ′ that performs skin condition analysis by itself has, as its functional configuration, a measurement data input unit 21, an environmental data input unit 22, a skin condition analysis unit 32, and an analysis result display unit 25. It is configured with. In this case, the measurement data input unit 21 corresponds to the measurement data acquisition unit in the claims, and the environment data input unit 22 corresponds to the environment data acquisition unit in the claims. Moreover, the skin condition analysis part 32 is corresponded to the skin condition analysis part and analysis result output part of a claim. The environmental data may be acquired from the server via the Internet or the like.

In the above embodiment, the measurement data of water and oil with the analysis result of the out by skin state analysis unit 32 (measurement M _m, S _m) has been described an example of displaying), the present invention is to It is not limited. For example, correction data (correction values M _t , _St ) of moisture and oil may be displayed together with the analysis result of the five-stage evaluation by the skin condition analysis unit 32.

  In addition, each of the above-described embodiments is merely an example of implementation in carrying out the present invention, and the technical scope of the present invention should not be construed in a limited manner. That is, the present invention can be implemented in various forms without departing from the gist or the main features thereof.

DESCRIPTION OF SYMBOLS 10A Moisture measuring device 10B Oil content measuring device 20,20 'Store terminal 21 Measurement data input part 22 Environmental data input part 23 Analysis request part 24 Analysis data reception part 25 Analysis result display part 30 Analysis server apparatus 31 Analysis request reception part 32 Skin condition Analysis unit 33 Analysis data transmission unit

Claims (8)

A skin condition measuring device that measures the skin condition and outputs measurement data representing the skin condition;
An analysis server device for analyzing the measurement data of the skin condition output from the skin condition measurement device;
A terminal for displaying the result of analysis by the analysis server device,
The terminal
A measurement data input unit for inputting measurement data of the skin condition output from the skin condition measuring device;
An environment data input unit for inputting environment data representing the measurement environment of the skin condition;
An analysis requesting unit that sends the measurement data input by the measurement data input unit and the environmental data input by the environmental data input unit to the analysis server device to request analysis of a skin condition;
An analysis data receiving unit that receives analysis data representing the analysis result of the skin condition transmitted from the analysis server device;
An analysis result display unit for displaying the analysis result of the skin condition based on the analysis data received by the analysis data receiving unit;
The analysis server device
An analysis request receiving unit that receives the measurement data and the environmental data transmitted from the terminal and receives a request for analysis of the skin condition;
Based on the measurement data and the environmental data received by the analysis request accepting unit, and a plurality of preset thresholds, the absolute value of the skin state represented by the measurement data is calculated using the environmental data and the plurality of environmental data. A skin condition analysis unit that replaces a relative stage evaluation value with a threshold of
A skin analysis system comprising: an analysis data transmission unit that transmits the stage evaluation value analyzed by the skin condition analysis unit as the analysis data to the terminal.   The skin condition analysis unit corrects the measurement data based on the environmental data, compares the corrected measurement data with the plurality of threshold values, and calculates the absolute value of the skin condition represented by the measurement data. The skin analysis system according to claim 1, wherein the skin analysis system is replaced with a stage evaluation value. The environmental data includes long-term environmental data representing a short-term environment when the skin condition is measured by the skin condition measuring device, and long-term environment data including when the skin condition is measured by the skin condition measuring device. Long-term environmental data that represents the environment
The skin condition analysis unit corrects the measurement data based on the environment data according to a correction formula including a function using the short-term environment data as a parameter and a function using the long-term environment data as a parameter. The skin analysis system according to claim 2.   The skin condition analysis unit corrects the plurality of threshold values based on the environmental data, compares the corrected plurality of threshold values with the measurement data, and calculates an absolute value of the skin condition represented by the measurement data. The skin analysis system according to claim 1, wherein the skin evaluation system is replaced with the stage evaluation value.   The skin analysis according to any one of claims 1 to 4, wherein the analysis result display unit displays a result of the analysis by the skin state analysis unit in addition to the measurement data or the correction data thereof. system.   The analysis result display unit displays the measurement data or the correction data as a numerical value, and displays the background of the numerical value by color or pattern based on the step evaluation value analyzed by the skin condition analysis unit. The skin analysis system according to claim 5. A measurement data acquisition unit for acquiring measurement data representing the skin condition measured by the skin condition measurement device;
An environmental data acquisition unit that acquires environmental data representing the measurement environment of the skin condition;
A skin condition analysis unit that replaces the absolute value of the skin condition represented by the measurement data with a relative stage evaluation value based on the environmental data and a plurality of preset threshold values;
A skin analysis apparatus comprising: an analysis result output unit that outputs the stage evaluation value analyzed by the skin condition analysis unit in order to display the analysis result of the skin condition. Measurement data acquisition means for acquiring measurement data representing the skin condition measured by the skin condition measurement device;
Environmental data acquisition means for acquiring environmental data representing the measurement environment of the skin condition;
The skin condition analysis unit that replaces the absolute value of the skin state represented by the measurement data with the environmental data and a plurality of preset threshold values with relative stage evaluation values, and was analyzed by the skin condition analysis unit A computer-readable program for skin analysis for causing a computer to function as an analysis result output means for outputting the stage evaluation value to display the analysis result of the skin condition.