JPWO2019039466A1 - A method for evaluating the tactile sensation of cosmetics and a device for evaluating the tactile sensation of cosmetics - Google Patents

Abstract

The method for evaluating the tactile sensation of using a cosmetic is a vibration detection step of detecting vibration generated by moving the moving body while bringing the moving body into contact with the cosmetic applied to the surface to be coated, and the detection. It includes a data generation step of generating data on a change in the frequency spectrum of the vibration over time from the generated vibration, and an evaluation step of evaluating the tactile sensation of using the cosmetic using the generated data.

Description

The present invention relates to a method for evaluating the tactile sensation of cosmetics and a device for evaluating the tactile sensation of cosmetics.

Conventionally, it is difficult to objectively evaluate the tactile sensation of cosmetics such as stickiness, moistness, and refreshingness. Therefore, it has been studied to quantify the tactile sensation of cosmetics based on the physical characteristics peculiar to cosmetics.

For example, Patent Document 1 discloses a method of performing evaluation based on rheological characteristics. Further, Patent Document 2 discloses a method of evaluating physical properties obtained from shear force measurement as an index.

Japanese Patent No. 5749554 Japanese Unexamined Patent Publication No. 2016-180685

However, the evaluation index of the cosmetics in the conventional method disclosed in Patent Documents 1 and 2 is the physical properties of the bulk of the cosmetics. That is, it is a characteristic measured in a state different from the actual usage state of the cosmetic. Therefore, the conventional method may not be able to accurately evaluate the feeling of use.

In view of the above points, it is an object of the present invention to provide a method for more accurately and quantitatively evaluating the tactile sensation of a cosmetic product.

One embodiment of the present invention for solving the above problems is a vibration detection step of detecting vibration generated by moving the moving body while bringing the moving body into contact with the cosmetic applied to the surface to be coated. A data generation step of generating data on a change in the frequency spectrum of the vibration over time from the detected vibration and an evaluation step of evaluating the tactile sensation of using the cosmetic using the generated data. This is a method for evaluating the tactile sensation of cosmetics, including.

According to one embodiment of the present invention, it is possible to provide a method for more accurately and quantitatively evaluating the feeling of use of cosmetics.

It is a flow figure which shows the method by one embodiment of this invention. It is the schematic of the apparatus by one embodiment of this invention. It is a schematic enlarged view of the vibration generating means and the vibration detecting means. It is a flow chart which shows the specific example of a data generation step. It is a figure which shows typically an example of the spectrum distribution map which shows the change with time of a frequency spectrum. It is a figure explaining the data generation based on the spectrum distribution map which shows the time-dependent change of a frequency spectrum. It is a figure which shows the correlation of the evaluation value S estimated by the regression equation, and the evaluation value S ₀ by a sensory evaluation in Example 1. FIG. It is a figure which shows the correlation of the evaluation value S estimated by the regression equation, and the evaluation value S ₀ by a sensory evaluation in Example 2. FIG. It is a figure which shows the correlation of the evaluation value S estimated by the regression equation, and the evaluation value S ₀ by a sensory evaluation in Example 3. FIG. It is a figure which shows the result of the time series sensory evaluation in Example 4. It is a graph about the feeling of use evaluated in Example 4 extracted from FIG. It is a figure which shows the correlation between the predetermined statistic value in Example 4 and the representative value of the sensory evaluation of the late "thickness". It is a graph about the feeling of use evaluated in Example 5 extracted from the graph of FIG. It is a figure which shows the correlation between the predetermined statistical value in Example 5 and the representative value of the sensory evaluation of "adhesiveness" of the previous term.

Hereinafter, embodiments for carrying out the present invention will be described, but the present invention is not limited to the following embodiments.

<How to evaluate the tactile sensation of cosmetics>
The present inventors apply data on a change over time in the frequency spectrum of vibration generated by applying a cosmetic to a surface to be coated and moving the moving body while bringing the moving body into contact with the applied cosmetic, and makeup. It was found that there is a correlation with the sensory evaluation of the tactile sensation of the material.

As shown in FIG. 1, one embodiment of the invention made based on this finding detects vibration generated by moving the operating body while bringing the moving body into contact with the cosmetic applied to the surface to be coated. The vibration detection step (S1), the data generation step (S2) that generates data on the change of the vibration frequency spectrum with time from the detected vibration, and the generated data are used to give a feeling of use of cosmetics. This is a method for evaluating the tactile sensation of a cosmetic product, including the evaluation step (S3) for evaluation.

This embodiment uses data related to vibration generated by rubbing or stroking the cosmetic applied to the surface to be coated as an index for evaluating the feeling of use. In other words, as an evaluation index, we are focusing on vibration, which is considered to be largely related to the tactile sensation, rather than the bulk characteristics of cosmetics. Further, this embodiment uses data measured in a state close to the state in which the cosmetic is actually used. Therefore, it is possible to more accurately evaluate the tactile sensation of cosmetics.

In addition, the evaluation method of the tactile sensation of cosmetics is often based on sensory evaluation using a panel, but the evaluation may vary. By using the evaluation method according to this embodiment instead of such sensory evaluation, it is possible to evaluate the feeling of use more accurately.

In this embodiment, the data used as the evaluation index specifically relates to a change over time (time-series change) in the frequency spectrum of vibration. When a cosmetic is applied to the skin, it usually penetrates into the skin or some of the components volatilize in the air, and the physical properties of the cosmetic change over time. The timing and degree of such changes over time differ depending on the cosmetics, and the difference in the changes over time due to the cosmetics appears as a difference in the tactile sensation of the cosmetics. Further, such a difference in the feeling of use is reflected in the difference in the temporal change of the content ratio of the frequency component in the vibration detected when the cosmetic applied to the surface to be coated is rubbed. Therefore, in this embodiment, by using the data on the change of the frequency spectrum with time as an index, it is possible to more accurately grasp the subtle difference in the feeling of use that differs depending on the cosmetics.

In the present specification, the tactile sensation of a cosmetic (also referred to as a sensation of use or texture) is defined by a person when the cosmetic is applied to the skin such as the face or body, or after a predetermined time has passed since the cosmetic was applied. It's a feeling to feel. Therefore, the tactile sensation to be evaluated by the method according to this embodiment can include the tactile sensation felt when the cosmetic is first brought into contact with the skin and spread, and after the cosmetic is once spread on the skin. , The sensation felt on the skin, or the sensation felt on the finger or palm when the skin is rubbed or rubbed with the finger or palm can also be included.

Specific examples of the tactile sensation to be evaluated include stickiness, refreshingness, moistness, penetration, moisture, firmness, firmness, smoothness, mellowness, thickening, light (or heavy) spread, and freshness. It may be oily or sticky.

The cosmetics may include cosmetics (cosmetics) provided as final products, cosmetic bases, compounds compounded to form cosmetic bases, and mixtures thereof.

As mentioned above, there is a correlation between the data on the change of the frequency spectrum of vibration over time and the sensory evaluation, but this sensory evaluation includes the classical sensory evaluation that does not consider the time axis and the tactile sensation of use. Any of the time series sensory evaluations that evaluate the temporal transition (change over time) is included. In the evaluation that does not consider the time axis, the subject evaluates after a lapse of a predetermined time from the start of application of the cosmetic. Finally, some evaluation values (scores, etc.) can be obtained for each evaluation item for the predetermined cosmetics through data processing or the like in some cases. This sensory evaluation that does not consider the time axis can be said to be a comprehensive evaluation of the feeling of use that is felt when the cosmetic is applied to the skin. The above-mentioned application completion may refer to the time when the general amount of the cosmetic has been applied, or may indicate the time when the cosmetic is felt to be familiar to the skin to some extent. The specific method of evaluation that does not consider the time axis is not particularly limited, and may be referred to as VAS (Visual Analytical Scale), SD method (Semantic Differential Method), QDA (Quantitative Analysis Analysis), or the like.

On the other hand, in the time-series sensory evaluation, the subject evaluates at two or more timings in the period from the start of application of the cosmetic to the lapse of a predetermined time. Then, in some cases, the obtained evaluation data can be processed to obtain a temporal transition of the evaluation value for one evaluation item for a predetermined cosmetic. The temporal transition of the evaluation value can be represented by, for example, a graph in which the horizontal axis represents time and the vertical axis represents the magnitude of the evaluation value. In this case, the subject may focus on one evaluation item for evaluation in one test, or may evaluate a plurality of evaluation items. The time-series sensory evaluation is an evaluation method that can more accurately capture the characteristics of cosmetics whose tactile sensation tends to change with time. The time-series sensory evaluation includes, for example, TDS (Temporal Dominance of Sensations), TCATA (Temporal Check All That Application), TI (Time Intensity) and the like. In the case of sensory evaluation by TDS, the evaluation value of the time-series sensory evaluation may be represented by a degree of superiority (Dominance rate) or the like in which the unit is a percentage or the like.

In the above sensory evaluation, especially in the time series sensory evaluation, when trying to improve the accuracy of the evaluation, it becomes necessary to select an excellent specialized panel or collect a large amount of data, which is troublesome and costly. It may take. On the other hand, according to the evaluation method according to this embodiment, such labor and cost can be suppressed.

<Vibration detection step (S1)>
In the vibration detection step (S1), vibration generated by moving the operating body while bringing the operating body into contact with the cosmetic applied to the surface to be coated is detected over time.

(Generation of vibration)
The vibration detection step (S1) may include generating a vibration to be detected. The vibration can be generated by using, for example, the vibration generating means 10 as shown in FIGS. In the illustrated vibration generating means 10, vibration is generated by applying a predetermined amount of cosmetics to the skin inside the forearm of a person and rubbing the applied cosmetics on the inside of a person's fingertip, for example, the tip of the index finger. Let me. That is, by using the surface to be applied 11 as the skin inside the forearm of a person and the moving body 12 as the index finger, the moving body 12 is reciprocated while being in contact with the cosmetics applied to the surface to be coated 11. Generate vibration. In the present specification, the application of cosmetics refers to spreading a predetermined amount of cosmetics by dropping them on a predetermined surface or the like. As long as a film of cosmetics can be formed on the surface, the means of application is not particularly limited, and may be a part of the human body such as a finger, or an instrument such as a brush, spatula, or sprayer. It may be there.

The surface to be applied 11 may be the surface of human skin as shown in FIG. 2, and the location is not limited to the inside of the arm, but the skin of other parts of the human body such as the palm, face, neck, and torso. It may be a surface. The surface to be coated 11 may be flat or uneven. The surface to be coated 11 is not limited to the skin of a living person, and if it has the same or similar characteristics as the skin of a living person, it is a processed or unprocessed animal skin, or an artificial one. You may use leather, pseudo-skin, etc. However, when the surface to be coated 11 is the surface of human skin, vibration can be generated in a state closer to the actual usage state, which is preferable.

The moving body is a main body that performs a relative movement with respect to the surface to be coated while being in contact with the cosmetic applied to the surface to be coated. In the example of FIG. 2, the index finger is used as the moving body 12, but the moving body 12 may be another finger such as the middle finger, or may be a palm, an arm, or another part of the human body. .. Further, like the surface to be coated 11, the moving body 12 may be a material having the same or similar characteristics as the skin of a living person, or may be a member coated with such a material.

However, as shown in the illustrated form, when the surface to be coated 11 and the moving body 12 are each a part of the human body, vibration can be generated in a state close to the state in which the cosmetic is actually used. Therefore, it is possible to make a more accurate evaluation of the feeling of use. Among the human body, the surface of the hand (palm side) has a well-developed tactile perception function, and the inner surface of the fingertip (the side without the nail) often identifies the feeling of use. Therefore, the moving body 12 is used as shown in the figure. More accurate data can be obtained when the cosmetics are rubbed on the inner surface of the fingertips.

The vibration can be generated by moving the moving body 12 while in contact with the cosmetic applied to the surface to be coated 11, but the movement of the moving body 12 at that time can generate a detectable vibration. The operation is not particularly limited as long as it can be performed. The moving body 12 may be reciprocated with respect to the surface to be coated 11, or may be rotated in a plurality of directions in one direction. Further, it may be moved so as to draw an arbitrary figure such as a circle or an ellipse on the surface to be coated 11.

(Vibration detection)
In the vibration detection step (S1), vibration is generated by rubbing the cosmetic applied to the surface to be coated, and this vibration may be vibration transmitted to the surface to be coated and / or the moving body. , The vibration (sound) propagating from the surface to be coated and / or the surface of the moving body through the surrounding medium (air). However, when detecting the vibration transmitted to the surface to be coated and / or the moving body, it is possible to detect the signal near the place where the vibration occurs, and the vibration generated due to other than rubbing the cosmetics. Can be reduced. Therefore, it is preferable to detect the vibration transmitted to the surface to be coated and / or the moving body from the viewpoint of improving the detection accuracy.

As shown in FIGS. 2 and 3A, the detection means 20 used in the vibration detection step (S1) can be attached to the moving body 12 (fingers in the illustrated example), and FIG. 3B As shown in, it can also be mounted on the surface to be coated 11. Further, the detection means 20 can be attached to both the surface to be coated 11 and the moving body 12.

The vibration detecting means 20 is not particularly limited as long as it can detect a signal capable of generating data capable of grasping a change over time in a frequency spectrum (a spectrum showing the distribution of frequency components contained in vibration), and is not particularly limited. , Or the acceleration may be detected as an electric signal. As the detection means 20, for example, a 3-axis acceleration sensor can be used.

The amount of cosmetics applied to the surface to be coated may be one type or two or more types. The first cosmetic is applied to the surface to be coated, vibration is generated as described above, and after the vibration is detected, the second cosmetic is applied immediately after that or after a predetermined time has elapsed. As described above, vibration can be generated and the vibration can be detected. Further, after applying the first cosmetic, vibration is not generated and detected, and immediately after that or after a predetermined time elapses, the second cosmetic is applied to generate vibration as described above. Vibration may be detected.

In this case, the first cosmetic and the second cosmetic may be the same or different. When the first cosmetic and the second cosmetic are the same, it is possible to evaluate the tactile sensation when the same cosmetic is applied repeatedly. Further, when the first cosmetic and the second cosmetic are different, for example, when the first cosmetic is a lotion and the second cosmetic is a milky lotion, different cosmetics are applied. It is possible to evaluate the tactile sensation when layered, and it is possible to evaluate the effect when a plurality of types of cosmetics are used in combination.

<Data generation step (S2)>
In the data generation step (S2), the vibration signal detected in the vibration detection step (S1) is analyzed, and data relating to the change over time in the frequency spectrum of the vibration is generated. Here, the data may be data of a diagram or graph such as a spectrum diagram, or may be data of a value or a group of values. Further, the analysis of the vibration signal can be performed by, for example, a short-time Fourier transform. By such an analysis, it becomes possible to grasp the change over time of the vibration including a plurality of frequency components.

(Spectrum diagram)
According to the above analysis, for one cosmetic product, the frequency (unit: Hz) is taken as the horizontal axis, and the magnitude of vibration of the frequency component, for example, the power spectral density (power value per 1 Hz width, and the unit is dB / It is possible to generate a plurality of spectral diagrams having a vertical axis of (Hz, etc.) at a plurality of predetermined elapsed times after applying the cosmetics. Further, as schematically shown in FIG. 5, it is possible to generate a spectrum diagram showing positions having the same power spectral density with time as the horizontal axis and frequency as the vertical axis for one cosmetic. When the latter spectrum diagram is generated as data, it is preferable because the change over time in the content ratio of the frequency component in vibration can be displayed in one spectrum diagram for one cosmetic product.

The latter spectrum diagram may be color-coded according to a value related to the magnitude of vibration, for example, the magnitude of the power spectral density, and the distribution of the power spectral density may be displayed by a color gradation. Further, as shown schematically in FIG. 5, it may be a spectrum diagram in which points having the same power spectral density are connected to form a line.

The magnitude of the vibration frequency to be analyzed is not particularly limited, but according to one embodiment of the present invention, the vibration frequency range is 0 to several MHz, 0 to several tens of kHz, 0 to several kHz, 0. It can be ~ 1000 Hz and 0 to 500 Hz. By setting the frequency range of the vibration to be analyzed as described above, it is possible to more accurately evaluate the tactile sensation of using cosmetics.

The time during which vibration is detected immediately after the cosmetic is applied to the surface to be coated is not particularly limited. For example, vibration can be detected within 150 seconds, within 120 seconds, within 90 seconds, within 60 seconds, or within 30 seconds immediately after the cosmetic is applied to the surface to be coated. By setting the detection time within the above range, it is possible to detect fluctuations in vibration due to changes in the composition of cosmetics due to volatilization of some of the components or permeation into the surface to be coated.

When the human skin is the surface to be coated and the human finger is the moving body, it is preferable to detect the signal for about 60 seconds. The vibration detection may be performed continuously or intermittently over the above time. Further, the vibration may be detected not immediately after the cosmetic is applied to the surface to be coated, but after a certain period of time has passed after the application. For example, the cosmetic may be applied to the surface to be coated and left for 60 seconds, and the detection may be started for another 60 seconds after 60 seconds have passed.

(Value related to the magnitude of vibration)
In the present embodiment, the data regarding the change over time in the frequency spectrum of vibration may be the above-mentioned spectrum diagram itself, and the tactile sensation of cosmetics can be evaluated based on this spectrum diagram. However, the data on the change of the frequency spectrum of the vibration with time is not a diagram such as a spectrum diagram, but a predetermined elapsed time after application of the cosmetic and the magnitude of the vibration or the magnitude of the amplitude corresponding to the predetermined frequency. It may contain data. Such data can be obtained by generating a frequency spectrum diagram of the vibration and obtaining it based on the diagram, or can be obtained directly from the detected vibration without generating a spectrum diagram.

The data on the predetermined elapsed time after application of the cosmetic and the magnitude of vibration corresponding to the predetermined frequency are values related to the predetermined elapsed time after application of the cosmetic and the magnitude of vibration corresponding to the predetermined frequency. The value relating to the predetermined elapsed time after application of the cosmetic and the magnitude of vibration corresponding to the predetermined frequency may be one or plural. The value related to the magnitude of such vibration can be obtained by, for example, the method shown in the flow chart of FIG.

The flow of FIG. 4 is included in the data generation step (S2) of FIG. In the example of FIG. 4, the value related to the magnitude of vibration is obtained by generating a distribution map showing the change of the frequency spectrum with time from the vibration (S2a), dividing the distribution map into a plurality of regions (S2b), and dividing each region. It can be obtained by calculating the statistic about the power spectral density in (S2c).

More specifically, a distribution map as shown in FIG. 5, that is, a spectrum map showing positions having the same vibration magnitude (for example, power spectral density) with time as the horizontal axis and frequency as the vertical axis is generated. Then, the spectrum diagram is divided into a plurality of regions in a grid pattern, a statistic for the power spectral density in at least one of the plurality of regions is obtained, and the statistic is used as the above-mentioned value regarding the magnitude of vibration. can do. That is, as the data regarding the change over time of the frequency spectrum obtained in the above-mentioned data generation step (S2), the statistic about the power spectrum density in the predetermined elapsed time band and the predetermined frequency band after the application of the cosmetic is included. be able to.

FIG. 6 shows an example of division of the spectrum diagram as shown in FIG. In the example of FIG. 6, the frequency displayed on the vertical axis and the elapsed time displayed on the horizontal axis are each divided into four, and a total of 16 regions from regions Z1 to Z16 are formed as a whole. Then, for each of the divided regions Z1～Z16, it is possible to calculate the statistic _v 1 _{to v 16} for power spectral density.

The above statistics are, for example, the arithmetic mean value, geometric mean value (geometric mean value), median value, maximum value, and total value of the power spectral density in a predetermined elapsed time band and a predetermined frequency band after application of cosmetics. Of the above, at least one of the arithmetic mean value, the geometric mean value, and the median value is preferable. Further, the power of these statistics or the product of different statistics can be used as a statistic for the power spectral density in a predetermined elapsed time band and a predetermined frequency band after application of cosmetics.

For the statistics, for example, in the frequency analysis of the detected vibration, a two-dimensional numerical matrix corresponding to the frequency component and the elapsed time is obtained, and the numerical matrix is used to obtain a predetermined frequency band and a predetermined time band. It can be obtained by calculating the amount corresponding to.

Further, the statistic may be an integral value (surface integral value) or a center of gravity value of the power spectral density in a predetermined elapsed time band and a predetermined frequency band after application of the cosmetic.

In the illustrated example, the spectrum diagram is divided so that a total of 16 regions are formed, but the number and location of the regions obtained by dividing the spectrum diagram are determined by the nature of the cosmetic to be measured and the properties of the cosmetic to be measured. It is determined according to the feeling of use to be evaluated. Specifically, in the construction of the evaluation criteria described later, when spectrum diagrams are generated for a plurality of cosmetics and compared with each other, it can be determined according to which region has a difference.

Further, the spectrum diagram can be divided so that the frequency range (frequency width) of one region is 10 to 500 Hz, preferably 50 to 250 Hz, and the time range (time width) of one region is 5. It can be divided into ~ 60 seconds, preferably 10 to 20 seconds, but the width of frequency and time division is not limited to the above. The frequency division in the spectrum diagram does not necessarily have to be divided so as to have the same width, and can be appropriately set according to the feeling of use to be evaluated, the characteristics of the cosmetic, and the like. The same applies to the division of time.

In the above-described embodiment, at least one of the statistics on the power spectral density in the predetermined elapsed time band and the predetermined frequency band in the spectrum diagram is set as a value related to the magnitude of vibration. However, a plurality of vibration magnitudes corresponding to one point in a predetermined elapsed time and a predetermined frequency, that is, a predetermined elapsed time band and a predetermined frequency band in the spectrum diagram are obtained, and the magnitude of the vibration corresponds to the above-mentioned vibration magnitude. It can also be a value.

Further, in the above-described embodiment, the spectrum diagram is generated and the statistic of the power spectral density is calculated based on the spectrum diagram, but the generation of the spectrum diagram is not always necessary for the calculation of the statistic. It is also possible to obtain statistics based on the detected vibration analysis without generating a diagram.

<Evaluation step (S3)>
In the evaluation step (S3), the tactile sensation of the cosmetic is evaluated using the data (spectral diagram, values, etc.) generated in the data generation step (S2). At the time of evaluation, it is preferable to establish evaluation criteria in advance and perform evaluation based on the criteria.

(Construction of evaluation criteria (relationship between data and sensory evaluation))
As the evaluation standard, the one in which the relationship between the data on the change of the frequency spectrum of the vibration with time and the sensory evaluation of the application feel of the cosmetic is pre-established and saved is used. Specifically, for each of the plurality of cosmetics, data on changes in the frequency spectrum of vibration with time is acquired, and on the other hand, sensory evaluation is performed on the tactile sensation of each cosmetic, and the data and the sensory evaluation are used. Relationships can be created in a database. Then, when evaluating the tactile sensation of using an unknown cosmetic, the data on the change over time in the frequency spectrum of the vibration detected by the same method for the unknown cosmetic and the above-mentioned relationship (database) constructed in advance are used. ), It is possible to estimate how much the sensory evaluation value of the tactile sensation of the unknown cosmetics is.

The sensory evaluation performed for constructing the evaluation standard may be an evaluation that does not consider the time axis, or may be a time-series sensory evaluation. In other words, regardless of whether the evaluation does not consider the time axis or the time-series sensory evaluation, if a database on the relationship with the data on the change of the frequency spectrum of vibration with time is constructed for a predetermined cosmetic product, It is possible to estimate the sensory evaluation of the cosmetic or the time transition of the sensory evaluation.

The method for acquiring data on the time course of the vibration frequency spectrum for a plurality of cosmetics is as described above in the vibration detection step (S1) and the data generation step (S2).

To obtain evaluation criteria, create a spectral map (distribution map) showing positions where the power spectral densities are equal, with time on the horizontal axis and frequency on the vertical axis, for multiple cosmetics, and the spectral map and sensory evaluation. Can be associated with (sensory evaluation value). Further, a value relating to the magnitude of vibration may be obtained directly from the detected vibration data or from the obtained spectrum diagram, and the relationship between the value and the sensory evaluation value may be obtained. When the relationship between the value related to the magnitude of vibration and the sensory evaluation is used as the evaluation standard, the relationship can be expressed as an equation and the equation can be used as a model, so that the evaluation becomes easier.

The relationship (evaluation standard) between the value related to the magnitude of vibration and the sensory evaluation can be constructed, for example, as follows.

For a plurality of known cosmetics, a scatter diagram (distribution map) showing positions where the power spectral densities are equal is created with the horizontal axis as time and the vertical axis as frequency, and the spectrum diagram is divided into a plurality of regions. Calculate the value related to the magnitude of vibration corresponding to each region. The division of the region and the calculation of the value are performed in the same manner as the method obtained for the calculation of the value related to the magnitude of the vibration in the above-mentioned data generation step (S2). That is, as described above, the values relating to the predetermined elapsed time after application of the cosmetic and the magnitude of vibration corresponding to the predetermined frequency are the powers in the predetermined elapsed time band and the predetermined frequency band after the application of the cosmetic. It is preferable to use it as a statistic for spectral density. For example, for each of the plurality of known cosmetics, for each region Z1 to Z16 shown in FIG. 6, statistics v _{1 to} v ₁₆ for power spectral density can be calculated. This statistic may be at least one of an arithmetic mean, a mean such as a geometric mean, a median, a maximum, a sum, and a surface integral. In addition, a plurality of these statistics can be adopted for one feeling of use.

Further, the number of the plurality of cosmetics used for constructing the evaluation standard can be about 10 to 50, and is preferably about 20 to 40.

On the other hand, for each of the above-mentioned plurality of known cosmetics, sensory evaluation is performed for one or more feelings of use (evaluation items). The sensory evaluation may be a sensory evaluation that does not consider the time axis as described above, or may be a time-series sensory evaluation.

The sensory evaluation that does not consider the time axis can be, for example, an evaluation with a score of 7 grades by a trained professional panel. In the sensory evaluation, a predetermined amount of cosmetics is placed on the fingertips and applied to the skin of the face to evaluate the tactile sensation felt. The feel of use is, for example, stickiness, refreshing, moist, penetrating, moisturizing, taut, chewy, silky, mellow, thick, light (or heavy), fresh, oily, sticky, etc. Is.

The sensory evaluation by the above-mentioned specialized panel can be used as an evaluation of the feeling of use when the cosmetic is first brought into contact with the skin and applied with a finger, or after a predetermined time has passed since the cosmetic was applied. It can also be used as an evaluation of the feeling of use that is felt when the skin is touched with a finger again. The sensory evaluation value by this panel is preferably the arithmetic mean value of the evaluation of 2 to 10 people, and more preferably the arithmetic mean value of the evaluation of 5 to 10 people. The method of scoring in the sensory evaluation (number of evaluation stages, etc.) is not particularly limited.

In order to construct the model formula, for example, regression analysis is performed using the above-mentioned statistics v _{1 to} v ₁₆ obtained for a predetermined one feeling of use and the sensory evaluation score by a specialized panel, and the value of the statistics is used. Find the relationship with the sensory evaluation score. In the model formula, the dependent variable (objective variable) may include the sensory evaluation score of a predetermined tactile sensation, and the independent variable (explanatory variable) may include at least one of the statistics v _{1 to} v ₁₆ . Further, the dependent variable may be a sensory evaluation score of a predetermined tactile sensation, and the independent variable may include at least one of the statistics v _{1 to} v ₁₆ .

In the regression analysis, as the independent variables, the values related to the predetermined elapsed time after application of the cosmetic and the magnitude of vibration in the predetermined frequency band are used as described above, but other parameters are also added. Can be used for. For example, the independent variable can additionally include a value related to friction of the cosmetic (a value representing a characteristic related to friction) and a physical property value of the bulk of the cosmetic.

The value related to the friction of the cosmetic can be, for example, a value based on the frictional force (unit: N) generated by moving the moving body while bringing the moving body into contact with the cosmetic applied to the surface to be coated. .. For example, the frictional force can be measured over time and used as the average value, dispersion, standard deviation, etc. of the magnitude of the frictional force in a predetermined time zone. Further, the average value of the friction coefficient, the variance, the standard deviation, and the difference between the dynamic friction coefficient and the static friction coefficient can also be used as independent variables.

The frictional force can be generated by, for example, the same method as the generation of vibration, and the conditions at that time may be the same as or different from the generation of vibration. Further, the frictional force can be measured at the same time as the vibration is detected when the vibration is generated, or can be measured at a timing different from the vibration generation and detection.

Examples of bulk physical property values of cosmetics include viscosity of cosmetics, first normal stress difference, wettability, hardness, and dynamic viscoelasticity. As the physical property value of the cosmetic, it is preferable to use a physical property value representing a rheological characteristic.

If the moving body can be deformed when the moving body is moved while being in contact with the cosmetic applied to the surface to be coated, for example, when the moving body is a finger or the like, the amount of deformation of the moving body is also used as an independent variable. Can be used. The amount of deformation is the amount of deformation of the moving body in the direction perpendicular to the surface to be coated, the amount of deformation of the moving body in the parallel direction, or the change over time in their ratio, for example, the mean value, dispersion, standard deviation, etc. in a predetermined time band. can do. Specifically, the amount of deformation can be a change over time such as the thickness of the moving body, the contact area with the surface to be coated, the area in the top view or the side view. The amount of deformation of the moving body can be measured at the same time as the vibration is detected when the vibration is generated, or can be measured at a timing different from the vibration generation and detection.

The regression analysis may be a linear regression analysis or a non-linear regression analysis. Examples of the linear regression analysis include simple regression analysis, multiple regression analysis, polynomial regression analysis and the like. Moreover, as a non-linear regression analysis, an analysis using a neural network and the like can be mentioned.

The selection of the independent variable can be performed using the stepwise method. When the stepwise method is used, a more significant independent variable can be selected, which is preferable. Regression analysis can be performed using software such as Matlab (registered trademark) manufactured by MathWorks and Excel (registered trademark) manufactured by Microsoft.

The number of independent variables included in the regression equation (model equation) can be appropriately set according to the target tactile sensation, the nature of the cosmetic, the purpose of evaluating the cosmetic, and the like, and is not particularly limited. However, in order to reduce the risk of overfitting, the number of independent variables can be about 1 to 5, preferably 1 to 3. If there are multiple independent variables, a multiple regression equation is constructed. The regression equation may be a linear regression equation or a power regression equation. A suitable regression equation may be used according to the type of cosmetics and the like.

When regression analysis is performed by linear regression analysis, the obtained linear regression equation uses, for example, the sensory evaluation score estimate y of the tactile sensation as a dependent variable, and data on changes in the frequency spectrum of vibration over time (statistics described above). z1 to z16, values related to the friction of cosmetics, physical properties of cosmetics, etc.) When x ₁ , x ₂ , ..., X _n are set as independent variables
y = a + b ₁ x ₁ + b ₂ x ₂ + ... + b _n x _n
(In the equation, a is a constant, and b ₁ , b ₂ , ... b _n are standardization coefficients)
It is represented by.

The above coefficient is a standardized coefficient obtained by standardizing each variable, but a regression equation may be created in which the coefficient is a partial regression coefficient.

In the regression equation, there may be one or more independent variables. In that case, the above-mentioned values relating to the magnitude of vibration are the first value relating to the magnitude of vibration corresponding to the first predetermined elapsed time and the first predetermined frequency after application of the cosmetic, and the value of the cosmetic. The independent variable includes the first value and the second value, including the second predetermined elapsed time after application and the second value regarding the magnitude of vibration corresponding to the second predetermined frequency. Good.

The tactile sensation evaluated by performing regression analysis using data on changes in the frequency spectrum of vibration over time is not limited, but in particular, it is sticky, refreshing, moist, osmotic, moisturized, taut, and chewy. A significant estimation model can be constructed for the smooth and mellow feel of use.

In this embodiment, the sensory evaluation of the feeling of use is performed by a specialized panel in order to construct the evaluation standard, but the evaluation standard can also be constructed by using the sensory evaluation by a general user instead of the specialized panel. When the evaluation criteria are constructed by using the sensory evaluation by a general user, the evaluation of the unknown cosmetics can be performed with the criteria closer to the tactile sensation actually felt by the user. However, since the tactile sensation of general users varies compared to the specialized panel, it is necessary to collect data from a larger number of users than when using the sensory evaluation by the specialized panel.

Even when the sensory evaluation estimated by this embodiment is a time-series sensory evaluation, a database can be constructed as in the case of estimating the sensory evaluation without considering the time axis. In that case, the entire evaluation period of the time-series sensory evaluation, the period from the start of application of the cosmetic to the elapse of a predetermined time (the period from the start of application to the end of application, and the period from the end of application to the elapse of a predetermined time are included. It is possible to estimate the evaluation in a predetermined period of (good). The estimation of the evaluation in such a predetermined period may be to estimate the representative value of the evaluation in the predetermined period. For example, in the evaluation period of the time series sensory evaluation, a value representing the evaluation value of the tactile sensation in the first half, the middle half, or the second half, that is, the representative evaluation value may be estimated.

For the representative evaluation value, for example, a time-series sensory evaluation is performed by a usual method, the result is represented by a graph, and a graph for one of the evaluation items is extracted. Then, the evaluation period is divided into a plurality of three, for example, the first half, the middle half, and the second half. Then, the representative evaluation value in each period can be obtained as an integral value (surface integral value), a maximum value, an average value (arithmetic mean or geometric mean), a median value, etc. of the evaluation values in that period.

Further, in the same manner as the estimation of the sensory evaluation value without considering the time axis, the regression analysis is performed using the statistics v _{1 to} v ₁₆ obtained by the vibration detection and data generation steps and the above representative evaluation value. And find the relationship between the statistic and the representative evaluation value. When the relationship is expressed by a model formula, the dependent variable (objective variable) includes a representative evaluation value of a predetermined tactile sensation, and the independent variable (explanatory variable) contains at least one of the statistics v _{1 to} v _16. May include.

(Evaluation of cosmetics)
The regression equation obtained as described above serves as an evaluation standard for evaluating the tactile sensation of cosmetics. In other words, if vibrations are detected and analyzed for each of a plurality of known cosmetics and sensory evaluation is performed by a specialized panel to establish evaluation criteria, data based on the vibrations detected for unknown cosmetics can be obtained. By acquiring and applying to the constructed evaluation criteria, it is possible to estimate the sensory evaluation score of the feel of use of unknown cosmetics. At that time, the vibration detection and data generation of the unknown cosmetics are performed under the same conditions as the vibration detection and data generation performed when obtaining the evaluation criteria.

The cosmetics evaluated in this embodiment are not particularly limited as long as they can be easily spread on the skin with a finger or the like and a thin film can be formed on the skin. The bulk form of the cosmetic may be liquid, gel, cream, semi-solid or the like. Specific examples of the cosmetics to be evaluated include basic cosmetics such as lotions, milky lotions, and beauty essences, makeup bases, foundations, hand creams, and body creams.

<Device for evaluating the tactile sensation of cosmetics>
As shown in FIGS. 2 and 3A, the device 1 for evaluating the tactile sensation of using the cosmetic according to the present embodiment brings the moving body 12 into contact with the cosmetic applied to the surface to be coated 11. Using the vibration detecting means 20 that detects the vibration generated by the movement over time, the data generating means 20 that generates data on the change of the frequency spectrum of the vibration over time from the detected vibration, and the generated data. The evaluation means 30 for evaluating the tactile sensation of the cosmetic is included.

<How to choose cosmetics>
The above-mentioned method for evaluating the tactile sensation of cosmetics and the device for evaluating the tactile sensation of using cosmetics can be used for selecting cosmetics and the like. For example, when one or more cosmetics having a desired use tactile sensation are to be selected from a group containing a plurality of cosmetics whose tactile sensation is unknown, or the use tactile sensation is the same as or close to the desired tactile sensation of a customer. It can be used when you want to recommend the cosmetics to customers.

Specifically, one embodiment of the present invention includes a first evaluation step of evaluating the tactile sensation of cosmetic C ₀ by using the method for evaluating the tactile sensation of the above-mentioned cosmetics, and the tactile sensation of the above-mentioned cosmetics. The second evaluation step of evaluating the tactile sensation of a plurality of selectable cosmetics C _{1 to} C _n (n is an integer) different from the cosmetic C ₀ by using the method of evaluating the above, and the cosmetic C A comparative step of comparing the use tactile sensation of _{0 with} the use tactile sensation of the plurality of selectable cosmetics C _{1 to} C _n , and the plurality of cosmetics having the use tactile sensation closest to the use tactile sensation of the cosmetic C _0. It may be a method of selecting a cosmetic having a selection step of selecting from C _{1 to} C _n of the cosmetics to be selected. Here, it is preferable that the method for evaluating the tactile sensation of the cosmetics used in the first evaluation step and the second evaluation step is the same.

A method of selecting the above-mentioned cosmetics, cosmetics C ₀ may be, for example, a cosmetic using the cosmetic or usual customer or user prefers. Further, the number of the plurality of cosmetics C _{1 to} C _n is, for example, a group of cosmetics that the user wants to try to use, or a group of cosmetics that the salesperson wants to recommend to the user (customer). Can be. The number of the plurality of cosmetics C _{1 to} C _n can be, for example, 2 to 20, preferably 3 to 10.

The feeling of use evaluated in the first evaluation step and the second evaluation step in the method for selecting the cosmetics described above is the same. In addition, the method of selecting the above-mentioned cosmetics can be repeated a plurality of times for different feelings of use. Then, as a final selection step, the cosmetic that has been selected most often can be finally selected.

[Example 1]
The cosmetics were evaluated using the evaluation device 1 as shown in FIG.

A few drops of known cosmetics were dropped and spread on the skin inside one forearm. A 3-axis accelerometer (manufactured by Tech Gihan Co., Ltd., model: A3AX) is attached to the side of the index finger of the hand on which the cosmetic is not dropped on the arm, and the finger is placed on the surface of the applied cosmetic. Was moved while applying a force of 2N or less. At this time, the tip of the index finger was moved at a speed of less than about 30 cm / sec. The above operation was started immediately after the cosmetic was dropped and spread, and continued for 60 seconds, and the vibration during that period was detected by the above-mentioned three-axis acceleration sensor (detecting means).

The vibrations detected for the above cosmetics were subjected to a short-time Fourier transform to obtain a distribution map showing positions having the same power spectral density, which was created in the same format as that illustrated in FIG. At this time, the spectrum diagram was generated using MATLAB (registered trademark) manufactured by MathWorks. In the distribution map, the power spectral density in the frequency range of 0 to 500 Hz was displayed.

Subsequently, the obtained distribution map was divided into a plurality of parts. In this example, as shown in FIG. 6, the vertical axis is divided into four (frequency is divided into four: 0 Hz to 50 Hz or less, 50 Hz to 100 Hz or less, 100 Hz to 250 Hz or less, 250 Hz to 500 Hz or less), and the horizontal axis is divided. (The time is divided into four parts: 0 seconds to 10 seconds or less, 10 seconds to 20 seconds or less, 20 seconds to 40 seconds or less, and 40 seconds to 60 seconds or less) to form regions Z1 to Z16 in the spectrum diagram. did. Further, in each region, the arithmetic mean value of the power spectral density was obtained, and each value was set to v ₁ to v ₁₆ .

The detection and analysis of vibration of the is performed for a total of 20 kinds of known cosmetic was obtained arithmetic mean value v ₁ to v ₁₆ for each cosmetic. On the other hand, for each of the above-mentioned plurality of cosmetics, a sensory evaluation was performed on the feeling of use called "freshness" when the cosmetics were first applied in contact with the skin. The sensory evaluation was based on the score of relative comparison with the control sample by a specialized panel.

Subsequently, using the above values v _{1 to} v ₁₆ and the sensory evaluation score of "freshness" by a specialized panel, linear regression analysis was performed using Matlab (registered trademark) manufactured by MathWorks to obtain a regression equation. It was. The selection of the independent variables from the values v _{1 to} v ₁₆ was performed by the stepwise method. As a result, an equation of S = -0.949 * v ₁₄ was obtained, in which the estimated score S of the tactile sensation of "freshness" was used as the dependent variable and v ₁₄ of the values v _{1 to} v ₁₆ was used as the independent variable. (Standardize and analyze each variable). This sensory evaluation scores used tactile as "refreshed Is" is called v _14, means that it is possible to significantly explained on the basis of the magnitude of the frequency components in a predetermined time band and the predetermined frequency band.

FIG. 7 shows the relationship between the evaluation value (estimated value) S estimated from the regression equation and the sensory evaluation value S ₀ by the specialized panel. Estimate S is, respectively, for a plurality of known cosmetics, is a value obtained by substituting v ₁₄ to the regression equation. According to FIG. 7, each plot is arranged on a proportional straight line having a slope of approximately 1. As a result, it was confirmed that the estimated value S calculated from the regression equation obtained by the above linear regression analysis is a value S ₀ close to the sensory evaluation score of the specialized panel with respect to "freshness".

By using the evaluation criteria constructed as described above, it is possible to evaluate the tactile sensation of an unknown cosmetic product. At that time, for the tactile sensation of using an unknown cosmetic, vibration is detected and data is generated under the same conditions as those used in the construction of the evaluation criteria. As a result, by substituting the value v ₁₄ obtained from the analysis of the unknown cosmetic into the above equation S = −0.949 * v ₁₄ , the estimated value of the sensory evaluation score of the tactile sensation of the unknown cosmetic is obtained. be able to.

[Example 2]
In the same manner as in Example 1, to detect the vibration analyzes, obtains the arithmetic mean value of the power spectral density in each region Z1~Z16 the spectrum diagram, each value was v ₁ to v _16. The above vibration detection and analysis were performed on a total of 21 known cosmetics, and the values v _{1 to} v ₁₆ were obtained for each cosmetic. On the other hand, in the same manner as in Example 1, each of the above-mentioned plurality of known cosmetics was subjected to a sensory evaluation by a specialized panel for the feeling of use called "stickiness".

Subsequently, a linear regression analysis was performed in the same manner as in Example 1 except that the feeling of use was "sticky", and a linear regression equation was obtained. As a result, an equation of S = −0.929 * v ₁₀ was obtained, in which the estimated score S of the tactile sensation of "stickiness" was used as the dependent variable and v ₁₀ of the values v _{1 to} v ₁₆ was used as the independent variable. This sensory evaluation scores used tactile as "stickiness" is called v _10, means that it is possible to significantly explained on the basis of the magnitude of the frequency components in a predetermined time band and the predetermined frequency band.

FIG. 8 shows the relationship between the evaluation value (estimated value) S estimated from the regression equation and the sensory evaluation value S ₀ by the specialized panel. Estimate S is, respectively, for a plurality of known cosmetics, is a value obtained by substituting v ₁₀ to the regression equation. According to FIG. 8, each plot is arranged on a proportional straight line having a slope of approximately 1. This relates to "stickiness", the above estimated value S calculated from the regression equation determined by linear regression analysis, it was confirmed that a value close to the score S ₀ of sensory evaluation of expert panelists.

By using the evaluation criteria constructed as described above, it is possible to evaluate the tactile sensation of an unknown cosmetic product. At that time, for the tactile sensation of using an unknown cosmetic, vibration is detected and data is generated under the same conditions as those used in the construction of the evaluation criteria. Thus, the v ₁₀ of the values obtained by the analysis of the vibration resulting from an unknown cosmetics, by substituting the above equation S = -0.929 * v _10, sensory evaluation of unknown cosmetic use tactile The estimated value of the score can be obtained.

[Example 3]
In Examples 1 and 2, the skin inside the forearm was used as the surface to be applied, and the tip of the index finger was used as the moving body. That is, in Examples 1 and 2, the human body was used as the vibration generating means 10. On the other hand, in Example 3, synthetic leather (manufactured by Komatsu Seiren Co., Ltd., trade name: Supulare (registered trademark)) was used as the surface to be coated in the vibration generating means 10. Specifically, the synthetic leather was attached to a table having a flat surface, cosmetics were dropped and spread in the same manner as in Example 1, and vibration was detected in the same manner as in Examples 1 and 2. In Example 3, the time for moving the finger was 90 seconds immediately after the cosmetic was dropped and spread.

In the same manner as in Example 1, a spectrum diagram (distribution map) showing positions where the power spectral densities are equal is obtained, and further, in the same manner as in Example 1, the power spectral densities in each of the divided regions in the spectral diagram The average value was calculated and each value was set to v ₁ to v ₁₆ , but on the horizontal axis of the spectral diagram, the time interval was more than 0 seconds and less than 15 seconds, more than 15 seconds and less than 30 seconds, more than 30 seconds and less than 45 seconds, 45. It was divided into four parts, which were more than 90 seconds and less than 90 seconds.

Similar to Example 2, the sensory evaluation of "stickiness" is performed by a specialized panel, and a linear regression analysis is performed using the above values v _{1 to} v ₁₆ and the sensory evaluation value by the specialized panel to obtain a linear regression equation. I asked. As a result, the estimated score S of the tactile sensation of "stickiness" is used as the dependent variable, and v ₁₄ and v ₄ of the values v _{1 to} v ₁₆ are used as the independent variables, S = -0.675 * v ₁₄ -0.309. * _{v 4} becomes formula was obtained. This sensory evaluation scores used tactile as "stickiness" is meant that the significant coefficient on the basis v ₁₄ and v ₄ that the magnitude of the frequency components in a predetermined time band and the predetermined frequency band.

FIG. 9 shows the relationship between the evaluation value (estimated value) S estimated from the regression equation and the sensory evaluation value S ₀ by the specialized panel. The estimated value S is a value obtained by substituting v ₁₄ and v ₄ into the above regression equation for each of the plurality of known cosmetics. According to FIG. 9, each plot is arranged on a proportional straight line having a slope of approximately 1. This relates to "stickiness", the above estimated value S calculated from the regression equation determined by linear regression analysis, it was confirmed that a value close to the score S ₀ of sensory evaluation of expert panelists.

By using the evaluation criteria constructed as described above, it is possible to evaluate the tactile sensation of an unknown cosmetic product. At that time, for the tactile sensation of using an unknown cosmetic, vibration is detected and data is generated under the same conditions as those used in the construction of the evaluation criteria. As a result, by substituting z ₁₄ and v ₄ among the values obtained by the analysis of vibration obtained from an unknown cosmetic into the above equation S = -0.675 * v ₁₄ -0.309 * v ₄ , It is possible to obtain an estimated value of the sensory evaluation score of the use tactile sensation of an unknown cosmetic.

[Example 4]
Example 4 is an example in the case where the sensory evaluation is a time-series sensory evaluation, and a model formula for use in estimating the time-series sensory evaluation was created.

The generation and detection of vibration were carried out in the same manner as in Example 1. Then, by analyzing the vibrations in the same manner as in Example 1 to obtain the arithmetic mean value of the power spectral density in each region Z1~Z16 the spectrum diagram, each value was v ₁ to v _16. The above vibration detection and analysis were performed for a total of 6 types of known cosmetics, and values v _{1 to} v ₁₆ were obtained for each cosmetic.

On the other hand, each of the above-mentioned plurality of known cosmetics was subjected to time-series sensory evaluation by 40 general panels by the TCATA method. More specifically, the subject is made to start the cosmetics and application, and the subject selects and feels one or more use tactile sensations (sensory evaluation items) felt while continuing the application. The lost tactile sensation was released each time. Items are selected and canceled through the input device of the personal computer, and the input result can be displayed on the display device of the personal computer. In this example, the evaluation items were four items, "thick", "lightly spread", "fresh", and "adhesive".

Subsequently, the data input to the personal computer was processed by the processing device of the personal computer using software (sensory evaluation software FIZZ, manufactured by BIOSYSSTEMS). In the data processing, the ratio of the subjects who selected each feeling of use for each unit time was calculated as the superiority, plotted over time, and the result was displayed as a graph. Regarding the predetermined tactile sensation, if all the subjects have selected the tactile sensation at a certain point in time, the superiority is 100%, and if no subject has selected the tactile sensation to use. The superiority is 0%.

FIG. 10 shows a graph of the above results. In the graph of FIG. 10, the horizontal axis is time (sec) and the vertical axis is superiority (%). The transition of the sensory evaluation over time for each feeling of use is shown. Among the graphs for the plurality of tactile sensations shown in the figure, in this example, the graph of the tactile sensation of "thickness" was extracted. FIG. 11 shows a graph after extraction.

Further, the graph of FIG. 11 was divided into three in the time axis direction to be the first half, the middle half, and the second half. Since the entire evaluation period was 100 seconds, each period of the first half, the middle half, and the second half was about 33 seconds. Then, a representative evaluation value of the feeling of use of "thickness" in each period was obtained. In this example, the average values P _a4 , P _b4 , and P _c4 of the superiority of each period were obtained as the representative evaluation values, and used as the representative evaluation values in each period.

In Example 4, a model formula was obtained by using the average value P _{c4 of the} latter period among the above representative evaluation values and the values v _{1 to} v ₁₆ obtained as described above. The model formula was obtained by performing regression analysis using Matlab (registered trademark) manufactured by MathWorks in the same manner as in Example 1. The selection of the independent variables from the values v _{1 to} v ₁₆ was also performed by the stepwise method as in Example 1.

As a result, the average value P _c4 , which is the representative evaluation value in the latter half of the evaluation period, is used as the dependent variable, and v ₆ of the values v _{1 to} v ₁₆ is used as the independent variable. P _c4 = −41.733 * (logv ₆ ) The equation (R ² = 0.7109) of 228.93 was obtained. From this result, it was found that the evaluation of the feeling of use of "thickness" in the latter half of the evaluation period in the TCATA method can be significantly explained based on the size of the frequency component in the predetermined time band and the predetermined frequency band. .. FIG. 12 shows the relationship between P _c4 and log v ₆ in a graph.

If the evaluation criteria are constructed and stored in this way, it is possible to estimate the evaluation of the time-series sensory evaluation of the use tactile sensation of unknown cosmetics in a predetermined evaluation period. At that time, for the tactile sensation of using an unknown cosmetic, vibration is detected and data is generated under the same conditions as those used in the construction of the evaluation criteria. Thus, the value v ₆ obtained from the analysis of an unknown cosmetics, by substituting the above model equation, in the case of performing series sensory evaluation when an unknown cosmetics, use tactile as "there is a thickened" , The representative value (average value of superiority) in the latter half of the evaluation period can be estimated.

[Example 5]
Similar to Example 4, data on the frequency spectrum of vibration was acquired, analyzed, and time-series sensory evaluation was performed. However, in Example 5, a model formula was created for the feeling of use called "adhesiveness" instead of the feeling of use of "thickness".

From the graph of the time series sensory evaluation (FIG. 10) obtained in the same manner as in Example 4, a graph of the feeling of use called "adhesiveness" was extracted, and this graph was used for about 33 seconds each as in Example 4. It was divided into three parts, the first half, the middle half, and the second half. Then, a representative evaluation value of the feeling of use called "adhesiveness" in each period was obtained. In this example, the average values P _a5 , P _b5 , and P _c5 of the superiority in each period were obtained and used as the representative evaluation values in each period. FIG. 13 shows a graph after extraction.

Among the above representative evaluation values, the model formula was obtained using the average value _{Pa 5 of the} previous period and the values v _{1 to} v ₁₆ obtained as described above. The method for obtaining the formula is the same as in Example 4. As a _{result, P a5 = -16.248 * (logv} 6) -89.607 consisting formula ^(R 2 = 0.839) was obtained. From this result, it was found that the later evaluation of the evaluation period in the TCATA method of the feeling of use called "stickiness" can be significantly explained based on the magnitude of the frequency component in the predetermined time band and the predetermined frequency band. Figure 14 _is a graph illustrating the relationship between _{P a5} and log V _6.

The model formula constructed in this way can be saved as an evaluation standard. Therefore, the use tactile unknown cosmetics performs generation detection and data of the vibration at the same conditions was carried out in the construction of the evaluation criteria, the value v ₆ obtained from the analysis of an unknown cosmetics, the model equation By substituting into, it is possible to estimate the representative value (average value of superiority) of the feeling of use called "adhesiveness" in the first half of the evaluation period when a time-series sensory evaluation is performed on an unknown cosmetic. ..

This application claims priority based on Japanese Patent Application No. 2017-162104 filed with the Japan Patent Office on August 25, 2017, the entire contents of which are incorporated herein by reference.

1 Evaluation device 10 Vibration generating means 11 Surface to be coated 12 Moving body 15 Cosmetics 20 Vibration detecting means 30 Data generating means 40 Evaluation means

Claims (13)

A vibration detection step that detects the vibration generated by moving the moving body while bringing the moving body into contact with the cosmetic applied to the surface to be coated, and
A data generation step of generating data on changes in the frequency spectrum of the vibration over time from the detected vibration, and
A method for evaluating the tactile sensation of a cosmetic product, which comprises an evaluation step of evaluating the tactile sensation of the cosmetic product using the generated data. Claim 1 for evaluating the use tactile sensation of the cosmetic product based on the relationship between the data on the time-dependent change of the frequency spectrum of vibration and the sensory evaluation of the use tactile sensation of the cosmetic product, which are obtained in advance in the evaluation step. The method described in. The method of claim 2, wherein the data relating to changes in the frequency spectrum of the vibration over time includes a predetermined elapsed time after application of the cosmetic and a value relating to the magnitude of the vibration corresponding to the predetermined frequency. The method of claim 3, wherein the value relating to the magnitude of the vibration comprises a statistic of the power spectral density in a predetermined elapsed time band and a predetermined frequency band after application of the cosmetic. The statistic is at least one of the arithmetic mean, geometric mean, median, maximum, and total of the power spectral densities in a given elapsed time band and a given frequency band after application of the cosmetic. , The method according to claim 4. The method of claim 3, wherein the relationship is given by a regression equation, in which the independent variable comprises a value relating to the magnitude of the vibration and the dependent variable comprises a sensory evaluation of the tactile sensation of the cosmetic. .. The values relating to the magnitude of the vibration are the first value relating to the magnitude of the vibration corresponding to the first predetermined elapsed time and the first predetermined frequency after the application of the cosmetic, and the first value after the application of the cosmetic. Includes 2 predetermined elapsed times and 2nd values for the magnitude of vibration corresponding to the 2nd predetermined frequency.
The method of claim 6, wherein the independent variable comprises the first value and the second value. The method of claim 6, wherein the independent variable further comprises at least one of the viscosity of the cosmetic, the first normal stress difference, the amount of deformation of the moving body, and the friction of the cosmetic. The method according to claim 1, wherein in the vibration detection step, vibration transmitted to the surface to be coated and / or the moving body is detected. The method according to claim 2, wherein the sensory evaluation of the use tactile sensation of the cosmetic includes a time-series sensory evaluation. The method according to claim 10, wherein the sensory evaluation of the feeling of use of the cosmetic is a representative value of the evaluation in a predetermined period of the time series sensory evaluation. Vibration detecting means for detecting vibration generated by moving the moving body while bringing the moving body into contact with the cosmetic applied to the surface to be coated, and
A data generation means for generating data on changes in the frequency spectrum of the vibration over time from the detected vibration, and
An apparatus for evaluating the tactile sensation of a cosmetic, including an evaluation means for evaluating the tactile sensation of the cosmetic using the generated data. The first evaluation step of evaluating the tactile sensation of cosmetics using the method of evaluating the tactile sensation of cosmetics according to claim 1,
Using the method of evaluating the tactile sensation of the cosmetics used in the first evaluation step, a second evaluation step of evaluating the tactile sensations of a plurality of selected cosmetics different from the cosmetics, respectively,
A comparison step for comparing the tactile sensation of the cosmetics with the tactile sensations of each of the plurality of selected cosmetics.
A method for selecting a cosmetic including a selection step of selecting a cosmetic having a feel of use closest to the feel of use of the cosmetic from the plurality of selectable cosmetics.

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