WO2019039466A1 - Method for evaluating skin feel of cosmetic and device for evaluating skin feel of cosmetic - Google Patents

Abstract

A method for evaluating skin feel of a cosmetic comprises: a vibration detection step for chronologically detecting vibrations generated by moving a movement body which is kept in contact with a cosmetic applied over a target application surface; a data generation step for generating data related to chronological changes in the frequency spectrum of the vibrations which were detected; and an evaluation step for evaluating the skin feel of the cosmetic using the generated data.

Description

Method for evaluating use feeling of cosmetic, and device for evaluating use feeling of cosmetic

BACKGROUND OF THE INVENTION Field of the Invention The present invention relates to a method for evaluating the feeling of use of a cosmetic and an apparatus for evaluating the feeling of use of a cosmetic.

Conventionally, it is difficult to objectively evaluate the feel of use of cosmetics such as stickiness, moistness and freshness. Therefore, it has been considered to quantify the feel of use of the cosmetic based on the physical properties unique to the cosmetic.

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

Patent No. 5749554 JP, 2016-180685, A

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

In view of the above-described point, an object of the present invention is to provide a method for more accurately and quantitatively evaluating the feeling of use of a cosmetic.

One mode of the present invention for solving the above-mentioned subject is a vibration detection step of detecting, over time, vibration generated by moving the operating body while bringing the operating body into contact with the cosmetic applied on the application surface. A data generation step of generating data on temporal changes in the frequency spectrum of the vibration from the detected vibration, and an evaluation step of evaluating the feeling of use of the cosmetic using the generated data. It is a method of evaluating the use feeling of cosmetics including.

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

FIG. 5 is a flow diagram illustrating a method according to an aspect of the present invention. FIG. 1 is a schematic view of an apparatus according to an aspect of the present invention. It is a schematic enlarged view of a vibration generation means and a vibration detection means. It is a flowchart which shows the specific example of a data generation step. It is a figure which shows typically an example of a spectrum distribution map which shows a time-dependent change of a frequency spectrum. It is a figure explaining data generation based on a spectrum distribution map which shows a temporal change of a frequency spectrum. In Example 1, a diagram showing the correlation between the evaluation value S ₀ by the estimated evaluation value S and the sensory evaluation by regression equation. It is a figure in Example 2 showing correlation with evaluation value S presumed by regression, and evaluation value S ₀ by sensory evaluation. In Example 3, it is a diagram showing the correlation between the evaluation value S ₀ by the estimated evaluation value S and the sensory evaluation by regression equation. It is a figure which shows the result of time-sequential sensory evaluation in Example 4. FIG. It is a graph about the use tactile sense evaluated in Example 4 extracted from FIG. FIG. 16 is a view showing a correlation between a predetermined statistic value and a representative value of sensory evaluation of “stagnation” in a later stage in Example 4. It is a graph about the use tactile sense evaluated in Example 5 extracted from the graph of FIG. It is a figure which shows the correlation with the representative value of the sensory evaluation of the predetermined | prescribed statistical value and the previous "stickiness" in Example 5. FIG.

Hereinafter, although the form for implementing this invention is demonstrated, this invention is not limited to the following embodiment.

<Method to evaluate the feeling of using cosmetic>
The present inventors apply the cosmetic on the surface to be applied, and make data on temporal changes in the frequency spectrum of vibration generated by moving the operating body while bringing the operating body into contact with the applied cosmetic, It was found that there is a correlation between sensory evaluation of food usage and tactile sensation.

One mode of the invention made based on this finding is, as shown in FIG. 1, to sequentially detect the vibration generated by moving the operating body while bringing the operating body into contact with the cosmetic applied to the surface to be coated. The tactile sense of use of the cosmetic is determined using the vibration detection step (S1), the data generation step (S2) for generating data on temporal changes of the frequency spectrum of vibration from the detected vibration, and the generated data. It is a method of evaluating the use feeling of cosmetics including the evaluation step (S3) to evaluate.

The present embodiment uses, as an index for evaluating the feeling of use, data related to the vibration generated by rubbing or brushing the cosmetic applied to the application surface. That is, as an evaluation index, attention is focused not on the characteristics of the bulk of the cosmetic but on the vibration considered to be greatly related to the tactile sensation. Furthermore, the present embodiment uses data measured in a state close to the state in which the cosmetic is actually used. Therefore, more accurate evaluation of the feel of use of the cosmetic becomes possible.

Moreover, although the evaluation method of use feeling of cosmetics is based on the sensory evaluation by a panel in many cases, dispersion may arise in evaluation. By using the evaluation method according to this embodiment in place of such sensory evaluation, it is possible to more accurately evaluate the feeling of use.

In the present embodiment, the data used as the evaluation index specifically relates to temporal change (change in time series) of 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 time-dependent change differs depending on the cosmetic, and the difference in the time-dependent change due to the cosmetic appears as a difference in the feeling of use of the cosmetic. Furthermore, such a difference in tactile sense of use is reflected in a difference in temporal change in the content ratio of frequency components in vibration detected when the cosmetic applied on the application surface is rubbed. Therefore, in the present embodiment, by using data on temporal changes in the frequency spectrum as an index, it is possible to more accurately capture subtle differences in tactile sensation that differ depending on the cosmetic.

In the present specification, the feeling of use (also referred to as feeling of use or texture) of a cosmetic is a person applying the cosmetic to the skin such as the face or body, or after a predetermined time has elapsed since the cosmetic was applied. It is a feeling to feel. Therefore, the tactile sensation to be evaluated by the method according to the present embodiment can include the tactile sensation that is felt when the cosmetic comes into contact with the skin for the first time and spreads, and after the cosmetic is once spread on the skin Also, it may include a sensation felt by the skin or a sensation felt by the finger or palm when the skin is browsed or rubbed with the finger or palm.

Specific examples of tactile sensations to be evaluated include stickiness, freshness, moistness, penetration, moisture, firmness, firmness, gentleness, mellowness, firmness, lightness (or heavy), freshness, Oily, sticky, etc. may be mentioned.

The cosmetic may include a cosmetic base, a compound to be formulated to constitute the cosmetic base, and a mixture thereof, in addition to the cosmetic (cosmetic) to be provided as the final product.

As mentioned above, although there is a correlation between the data on temporal changes of vibration frequency spectrum and sensory evaluation, this sensory evaluation is a classical sensory evaluation not considering the time axis, and the feeling of use Any of the time-series sensory evaluations to evaluate temporal changes (changes over time) is included. In the evaluation in which the time axis is not considered, the subject performs the evaluation after a predetermined time has elapsed from the start of the application of the cosmetic. Finally, in some cases, it is possible to obtain one evaluation value (score or the like) per evaluation item for a predetermined cosmetic through data processing or the like. The sensory evaluation which does not consider this time axis can be said to be a comprehensive evaluation of the feeling of use felt when the cosmetic is applied to the skin. The above-mentioned application end may refer to a point at which application of a general amount of cosmetic has been applied, or to a point at which the cosmetic may be felt to some extent to the skin. The specific method of evaluation not considering the time axis is not particularly limited, and may be one called VAS (Visual Analogue Scale), SD method (Semantic Differential Method), QDA (Quantitative Description Analysis), or the like.

On the other hand, in the time-series sensory evaluation, the subject performs the evaluation at two or more timings in a period from the start of the application of the cosmetic to the elapse of a predetermined time. Then, in some cases, the obtained evaluation data can be processed to obtain a temporal transition of evaluation values of 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 size of the evaluation value. In this case, in one test, the subject may perform evaluation by focusing on one evaluation item or may evaluate a plurality of evaluation items. Time-series sensory evaluation is an evaluation method that can more accurately capture the characteristics of cosmetics whose tactile sense of use tends to change with time. Temporal sensory evaluation is, for example, TDS (Temporal Dominance of Sensations), TCATA (Temporal Check All That Apply), TI (Time Intensity) or the like. In addition, the evaluation value of time-series sensory evaluation may be represented by dominance rate etc. which made units a percentage etc., in the case of the sensory evaluation by TDS.

In the above-mentioned sensory evaluation, especially in time-series sensory evaluation, when trying to raise the accuracy of the evaluation, it becomes necessary to select an excellent specialized panel or collect a large number of data, which results in labor and cost It may be. On the other hand, according to the evaluation method by this form, such an effort and cost can also be held down.

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

(Generation of vibration)
The vibration detection step (S1) may include generating a vibration to be detected. The generation of the vibration can be performed, for example, using the vibration generating means 10 as shown in FIGS. In the illustrated vibration generating means 10, a predetermined amount of cosmetic is applied to the inner skin of a person's forearm, and the applied cosmetic is rubbed with the inside of the tip of a person's fingertip, for example, a forefinger to generate vibration. Let That is, by making the application surface 11 the skin on the inside of a person's forearm and using the operation body 12 as a forefinger, the operation body 12 reciprocates while the operation body 12 is in contact with the cosmetic applied to the application surface 11 Generate vibration. In addition, in this specification, application | coating of cosmetics refers to dripping the predetermined amount of cosmetics on a predetermined surface, making it adhere and spreading. The means of application is not particularly limited as long as a cosmetic film can be formed on the surface, and may be a part of the human body such as a finger, or with a device such as a brush, a spatula, or a sprayer. May be there.

The surface 11 to be applied may be the surface of human skin as shown in FIG. 2, and the place is not limited to the inside of the arm, and the skin of other human body parts such as palm, face, neck and body. It may be a surface. The application surface 11 may be flat or uneven. The application surface 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, the skin of a processed or non-processed animal, artificial May be used, such as leather or artificial skin produced by However, it is preferable to use the application surface 11 as the surface of a human skin, because vibration can be generated in a state closer to the actual use state.

The operating body is a main body that performs an operation relative to the application surface while being in contact with the cosmetic applied to the application surface. Although the index finger is used as the working body 12 in the example of FIG. 2, the working 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 . Also, like the application surface 11, the working 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 in the illustrated embodiment, when the application surface 11 and the working body 12 are each part of a human body, vibration can be generated in a state close to the state in which the cosmetic is actually used. Therefore, a more accurate evaluation of the feeling of use can be made. Of the human body, the tactile perception function is developed on the surface of the hand (palm side), and the use feeling is often identified on the inner surface (the side without nails) of the fingertip. When the cosmetic is rubbed with the inner surface of the fingertip, it is possible to obtain more accurate data.

The vibration can be generated by moving the operating body 12 while being in contact with the cosmetic applied to the application surface 11, but the movement of the operating body 12 at that time can generate a detectable vibration. The operation is not particularly limited as long as the operation can be performed. The operating body 12 may be reciprocated with respect to the application surface 11, or may be rotated in one direction. Moreover, you may move so that arbitrary figures, such as a circle | round | yen and an ellipse, may be drawn on the to-be-coated surface 11. FIG.

(Detection of vibration)
In the vibration detection step (S1), a vibration is generated by rubbing the cosmetic applied to the surface to be coated, and the vibration may be the vibration transmitted to the surface to be coated and / or the working object. It may be vibration (sound) propagated from the surface to be coated and / or the surface of the working body through the surrounding medium (air). However, in the case of detecting the vibration transmitted to the surface to be coated and / or the working object, detection of a signal in a place close to the place where the vibration occurs is possible, and vibration generated due to other than rubbing the cosmetic. Mixing can be reduced. Therefore, it is preferable to detect the vibration transmitted to the surface to be coated and / or the working object from the viewpoint of improving detection accuracy.

The detection means 20 used in the vibration detection step (S1) can be attached to the operation body 12 (a finger in the illustrated example) as shown in FIGS. 2 and 3A, and FIG. It can also be mounted on the application surface 11 as shown in FIG. Also, the detection means 20 can be mounted on both the application surface 11 and the working body 12.

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

The cosmetic applied to the application surface may be of one type or of two or more types. After applying the first cosmetic on the surface to be applied, generating the vibration as described above, and detecting the vibration, apply the second cosmetic immediately thereafter or after the elapse of a predetermined time, As described above, vibrations can be generated and detected. In addition, after applying the first cosmetic, without generating and detecting the vibration, immediately after or after a predetermined time, the second cosmetic is applied to generate the 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. In addition, when the first cosmetic and the second cosmetic are different, for example, when the first cosmetic is a lotion, the second cosmetic is an emulsion or the like, different cosmetics may be applied. The tactile sensation in the case of overlapping can be evaluated, and the effect when using a plurality of types of cosmetics together can be evaluated.

<Data generation step (S2)>
In the data generation step (S2), the signal of the vibration detected in the vibration detection step (S1) is analyzed to generate data on the temporal change of the frequency spectrum of the vibration. Here, the data may be data of a diagram or graph such as a spectrum chart, or data of a value or a group of values. The analysis of the vibration signal can be performed by, for example, a short time Fourier transform. Such analysis makes it possible to grasp temporal changes in vibration including a plurality of frequency components.

(Spectrum diagram)
According to the above analysis, the frequency (in Hz) is taken as the horizontal axis for one cosmetic, and the magnitude of the vibration of the frequency component, for example, the power spectral density (power value per 1 Hz width, unit is dB / A plurality of spectrum diagrams having a vertical axis such as Hz can be generated for each of a plurality of predetermined elapsed times after applying the cosmetic. In addition, as schematically shown in FIG. 5, it is possible to generate a spectrum diagram in which positions of power spectrum density are displayed, with time being the horizontal axis and frequency as the vertical axis, with respect to one cosmetic. When the latter spectrum diagram is generated as data, it is preferable for one cosmetic because a temporal change in the content ratio of frequency components during vibration can be displayed in one spectrum diagram.

The latter spectral diagram may be a value relating to the magnitude of vibration, for example, color-coded according to the magnitude of power spectral density, and may represent the distribution of power spectral density by color gradation. In addition, as illustrated schematically in FIG. 5, a spectrum diagram may be a line in which points having the same power spectrum density are connected.

Although the magnitude of the frequency of the vibration to be analyzed is not particularly limited, according to one embodiment of the present invention, the frequency range of the vibration is 0 to several MHz, 0 to several tens kHz, 0 to several kHz, 0 It can be set to 1000 Hz and 0 to 500 Hz. By setting the frequency range of the vibration to be analyzed to the above, it is possible to more appropriately evaluate the feeling of use of the cosmetic.

The time in which the vibration is detected immediately after the application of the cosmetic onto the application surface 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 application of the cosmetic onto the application surface. By setting the detection time to the above-mentioned range, it is possible to detect the fluctuation of the vibration accompanying the change of the composition of the cosmetic due to the volatilization of a part of the component or the permeation into the surface to be coated.

In the case where the human skin is the application surface and the human finger is the working object, it is preferable to detect the signal for about 60 seconds. The detection of vibration may be performed continuously for the above time or may be performed intermittently. Further, the detection of the vibration may not start immediately after the application to the surface to be coated of the cosmetic but may start detection after a predetermined time has elapsed after the application. For example, the cosmetic may be applied to the surface to be coated and left for 60 seconds, and after 60 seconds have elapsed, detection may be started for another 60 seconds.

(Value regarding the magnitude of vibration)
In the present embodiment, the data relating to the temporal change of the frequency spectrum of vibration may be the above-mentioned spectrum diagram itself, and the use feeling of the cosmetic can be evaluated based on this spectrum diagram. However, the data relating to the temporal change of the frequency spectrum of vibration is not a diagram such as a spectrum diagram, but relates to a predetermined elapsed time after application of the cosmetic and the magnitude or amplitude of vibration corresponding to a predetermined frequency. It may contain data. Such data can be generated based on and generated based on the frequency spectrum of the vibration, or directly from the detected vibration without generating a spectrum.

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

The flow of FIG. 4 is included in the data generation step (S2) in FIG. In the example of FIG. 4, the value regarding the magnitude of vibration generates a distribution chart showing temporal changes of the frequency spectrum from the vibration (S2a), divides the distribution chart into a plurality of regions (S2b), and each region It can obtain | require by calculating the statistic about the power spectral density in (S2c).

More specifically, a distribution diagram as shown in FIG. 5 is generated, that is, a spectrum diagram in which the time is taken on the horizontal axis, the frequency is taken on the vertical axis, and the vibration magnitudes (eg, power spectral density) are equal. And dividing the spectrum diagram into a plurality of regions in a grid form, obtaining statistics on the power spectral density in at least one of the plurality of regions, and setting the statistics to the value regarding the magnitude of the vibration. can do. That is, statistics on the power spectrum density in a predetermined elapsed time band and a predetermined frequency band after application of a cosmetic are included as data on temporal changes in the frequency spectrum obtained in the data generation step (S2) described above. be able to.

FIG. 6 shows an example of the 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 sixteen areas Z1 to Z16 are formed as a whole. Then, statistics v ₁ to v ₁₆ on the power spectral density can be calculated for each of the divided regions Z 1 to Z ₁₆ .

The above statistics are, for example, the arithmetic mean value, the geometric mean value (geometric mean value), the median value, the maximum value, and the total value of power spectral density in a predetermined elapsed time band and a predetermined frequency band after application of a cosmetic. And preferably at least one of an arithmetic mean value, a geometric mean value, and a median value. The power of these statistics and the product of different statistics can also be used as a statistic about the power spectral density in a predetermined elapsed time band and a predetermined frequency band after application of the cosmetic.

For example, in the frequency analysis of the detected vibration, a statistical value is obtained by obtaining a two-dimensional numerical matrix corresponding to the frequency component and the elapsed time, and using the numerical matrix, 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 integrated value (area component value) of the power spectral density in a predetermined elapsed time band and a predetermined frequency band after the application of the cosmetic and a barycentric value.

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

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 Although division can be made to be up to 60 seconds, preferably 10 to 20 seconds, the width of division of frequency and time is not limited to the above. The division of the frequency in the spectrum diagram does not necessarily have to be divided to have the same width, and can be appropriately set according to the tactile sense to be evaluated, the characteristics of the cosmetic, and the like. The same applies to time division.

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

Moreover, in the above-mentioned form, although a spectrum chart is generated and statistics of power spectrum density are computed based on the spectrum chart, generation of a spectrum chart is not necessarily required for calculation of statistics. Statistics can also be determined based on the detected vibration analysis without generating a diagram.

<Evaluation step (S3)>
In the evaluation step (S3), the tactile sense of use of the cosmetic is evaluated using the data (spectrum 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 to perform evaluation based on the criteria.

(Construction of evaluation criteria (relationship between data and sensory evaluation))
As evaluation criteria, use is made of those in which the relationship between data on temporal changes in the frequency spectrum of vibration and sensory evaluation of the application feel of the cosmetic composition has been previously established and stored. Specifically, data on temporal changes in the frequency spectrum of vibration is obtained for each of a plurality of cosmetics, and on the other hand, a sensory evaluation is performed on the feeling of use of each cosmetic, and the data and sensory evaluation Relationships can be databased. And when evaluating the use tactile sense of an unknown cosmetic, the data concerning the temporal change of the frequency spectrum of the vibration detected by the same method about the unknown cosmetic and the above-mentioned previously built relationship By comparing with the above, it is possible to estimate what is the sensory evaluation value of the tactile sense of use of the above-mentioned unknown cosmetic.

The sensory evaluation performed to construct the evaluation criteria may be evaluation that does not consider the time axis, or may be chronological sensory evaluation. That is, in any of the evaluation without considering the time axis and the time-series sensory evaluation, if a database for the relationship with the data on the temporal change of the frequency spectrum of vibration is built for a predetermined cosmetic, A temporal transition of sensory evaluation or sensory evaluation of the cosmetic can be estimated.

The method of acquiring data relating to the temporal change of the frequency spectrum of vibration for a plurality of cosmetics is as described above in the vibration detection step (S1) and the data generation step (S2).

In order to obtain the evaluation criteria, a spectrum diagram (distribution map) is generated in which the time is taken as the horizontal axis and the frequency is taken as the vertical axis, and the power spectral density is equal for a plurality of cosmetics. (Sensory evaluation value) can be associated. Alternatively, a value related to the magnitude of the vibration may be determined directly from the detected vibration data or from the obtained spectrum chart, and the relationship between the value and the sensory evaluation value may be determined. When the relationship between the value regarding the magnitude of vibration and the sensory evaluation is used as the evaluation criterion, the relationship can be expressed as a formula, and the formula can be used as a model, which makes evaluation easier.

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

Create a spectrum diagram (distribution map) that displays the positions where the power spectrum density is equal with time on the horizontal axis and frequency on the vertical axis for a plurality of known cosmetics, and divide the spectrum into a plurality of regions, A value regarding the magnitude of vibration corresponding to each region is calculated. The division of the area and the calculation of the value are performed in the same manner as the method obtained for the calculation of the value regarding the magnitude of the vibration in the data generation step (S2) described above. That is, as described above, the predetermined elapsed time after the application of the cosmetic and the value regarding the magnitude of the vibration corresponding to the predetermined frequency are power in the predetermined elapsed time zone and the predetermined frequency band after the application of the cosmetic. Statistics on spectral density are preferred. For example, statistics v ₁ to v ₁₆ of power spectral density can be calculated for each of the plurality of known cosmetic compositions, for each of the regions Z 1 to Z 16 shown in FIG. The statistic may be at least one of an arithmetic mean value, a mean value such as a geometric mean value, a median, a maximum value, a sum, and an area fraction value. Also, more than one of these statistics may be employed for one sense of use.

In addition, the number of the plurality of cosmetics used to construct the evaluation standard can be about 10 to 50, and preferably about 20 to 40.

On the other hand, sensory evaluation is performed for each of the plurality of known cosmetic compositions described above with respect to one or more senses of use (evaluation items). The sensory evaluation may be a sensory evaluation not considering 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 by a trained professional panel. In the sensory evaluation, a given amount of cosmetic is placed on a fingertip and applied to the skin of the face to evaluate the tactile sensation felt. The feeling of use is, for example, stickiness, freshness, moistness, feeling of penetration, moisture, firmness, firmness, soft feeling, mellowness, firmness, looseness (or heavy), fresh, oily, sticky feeling, etc. It is.

The sensory evaluation by the above-mentioned specialized panel can also be an evaluation of the feeling of use felt when the cosmetic is first brought into contact with the skin and applied with a finger, or after a predetermined time has elapsed since the cosmetic was applied. It can also be an evaluation of the feeling of use felt when touching the skin again with a finger. The sensory evaluation value by this panel is preferably an arithmetic average value of evaluation of 2 to 10 people, and more preferably an arithmetic average value of evaluation of 5 to 10 people. In addition, how to give the score in sensory evaluation (the number of evaluation stages etc.) is not specifically limited.

In order to construct a model formula, for example, regression analysis is performed using the above statistics v ₁ to v ₁₆ determined for one predetermined tactile sense and the sensory evaluation score by the expert panel, Determine the relationship with the sensory evaluation score. In the model formula, the dependent variable (target variable) may include a predetermined sensory evaluation score of tactile sensation used, and the independent variable (explanatory variable) may include at least one of the statistics v ₁ to v ₁₆ . Also, the dependent variable may be a sensory evaluation score of a predetermined usage tactile sense, and the independent variable may include at least one of the statistics v ₁ to v ₁₆ .

In regression analysis, as an independent variable, as described above, a value relating to a predetermined elapsed time after application of a cosmetic and a magnitude of vibration in a predetermined frequency band is used, but other parameters are additionally It 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 relating to the friction of the cosmetic may be, for example, a value based on the frictional force (unit: N) generated by moving the operating body while bringing the operating body into contact with the cosmetic applied to the application surface. . For example, the frictional force can be measured over time, and the average value, the variance, the standard deviation, etc. of the magnitude of the frictional force in a predetermined time zone can be used. Also, the average value of the coefficient of friction, the variance, the standard deviation, and the difference between the coefficient of dynamic friction and the coefficient of static friction can be used as independent variables.

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

Moreover, as a physical property value of the bulk of cosmetics, the viscosity of a cosmetics, a 1st normal stress difference, wettability, hardness, dynamic viscoelasticity etc. are mentioned, for example. It is preferable to use physical property values representing rheological characteristics as physical property values of the cosmetic.

When the operating body can be deformed when moving the operating body in contact with the cosmetic applied to the application surface, for example, when the operating body is a finger, the deformation amount of the operating body is also used as an independent variable. It can be used. The amount of deformation is the amount of deformation of the operating body in the direction perpendicular to the surface to be coated, the amount of deformation of the operating body in the parallel direction, or temporal change in their ratio, for example, average value, dispersion, standard deviation, etc. can do. Specifically, the amount of deformation can be temporal change such as the thickness of the operating body, the contact area with the application surface, and the area in top view or side view. The amount of deformation of the working body can be measured simultaneously with the detection of the vibration when generating the vibration, or can be measured at a timing different from the generation and detection of the vibration.

The regression analysis may be linear regression analysis or non-linear regression analysis. Linear regression analysis includes single regression analysis, multiple regression analysis, polynomial regression analysis, and the like. Moreover, analysis using a neural network etc. are mentioned as nonlinear regression analysis.

Selection of independent variables can be performed using a stepwise method. The stepwise method is preferable because more significant independent variables can be selected. Note that regression analysis can be performed using software such as Matlab (registered trademark) manufactured by MathWorks, Inc. or 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 sense of use, 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 overlearning, the number of independent variables can be about 1 to 5, and preferably 1 to 3. If there are multiple independent variables, multiple regression equations are 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 cosmetic and the like.

When regression analysis is performed by linear regression analysis, the obtained linear regression equation has, for example, data on temporal changes in frequency spectrum of vibration with the sensory evaluation score estimate value y of tactile sensation as a dependent variable (the above-mentioned statistical quantity z1 to z16, values related to friction of cosmetics, physical properties of cosmetics etc.) x ₁ , x ₂ , ..., x _n are independent variables,
y = a + b ₁ x ₁ + b ₂ x ₂ + ... + b _n x _n
(Wherein, a is a constant, b ₁ , b ₂ ,... B _n are standardization coefficients)
Is represented by

Although the above coefficient is a standardized coefficient obtained by standardizing each variable, a regression equation may be created using the coefficient as a partial regression coefficient.

In the regression equation, one or more independent variables may be used. In that case, the value relating to the magnitude of the vibration described above is a first value relating to the magnitude of the vibration corresponding to the first predetermined elapsed time after applying the cosmetic and the first predetermined frequency, and the cosmetic The independent variable includes a first value and a second value, including a second predetermined elapsed time after application and a 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 temporal changes in the frequency spectrum of vibration is not particularly limited, but it is particularly sticky, fresh, moist, penetrating, moist, firm, dusty, A significant estimation model can be constructed for the feeling of use, smooth and round.

In the present embodiment, sensory evaluation of the tactile sensation in use by the expert panel is performed for the construction of the evaluation criteria, but it is also possible to construct the evaluation criteria using sensory evaluation by a general user instead of the expert panel. When evaluation criteria are constructed using sensory evaluation by a general user, evaluation of an unknown cosmetic can be performed on a basis closer to the tactile sensation that the user actually feels. However, since there is a variation in the tactile sensation of general users as compared to the specialized panel, it is necessary to collect data from a larger number of users than in the case of using the sensory evaluation by the specialized panel.

Also in the case where the sensory evaluation estimated by the present embodiment is a time-series sensory evaluation, a database can be constructed as in the case of the estimation of the sensory evaluation not considering the above time axis. In that case, the entire evaluation period of time-series sensory evaluation, the period from the start of application of the cosmetic to the predetermined time has elapsed (the period from the start of application to the end of application, and the period from the end of application to the predetermined time) Can be estimated for a given period of time. Such estimation of evaluation in a predetermined period may be estimation of a representative value of evaluation in the predetermined period. For example, it may be a value representing an evaluation value of tactile sensation in the first, middle, or late phase of the evaluation period of time-series sensory evaluation, that is, estimation of a representative evaluation value.

The representative evaluation value is, for example, subjected to time-series sensory evaluation by a usual method, and the result is represented by a graph, and a graph of one of the evaluation items is extracted. Then, the evaluation period is divided into a plurality of, for example, three periods: first period, middle period, and second period. Then, a representative evaluation value in each period can be obtained as an integral value (area value), a maximum value, an average value (arithmetic average or geometric average), a median, or the like of the evaluation value in that period.

Furthermore, regression analysis is performed using statistics v ₁ to v ₁₆ obtained by the vibration detection and data generation steps and the above-mentioned representative evaluation values in the same manner as estimation of sensory evaluation values not considering the time axis. Conduct to determine the relationship between the statistics and the representative evaluation value. When the relationship is expressed by a model expression, the dependent variable (objective variable) includes a representative evaluation value of predetermined usage sense, and the independent variable (explanatory variable) includes at least one of the statistics v ₁ to v _16. May be included.

(Evaluation of cosmetics)
The regression equation obtained as described above is an evaluation criterion in evaluating the feeling of use of the cosmetic. That is, if evaluation criteria are constructed by detecting and analyzing vibrations for each of a plurality of known cosmetics and performing sensory evaluation by a specialized panel, data based on the detected vibrations for unknown cosmetics is By applying the evaluation criteria acquired and constructed, it is possible to estimate a sensory evaluation score of the feeling of use of the unknown cosmetic. At that time, the detection and data generation of the unknown cosmetic vibration are performed under the same conditions as the detection and data generation of the vibration performed when obtaining the evaluation standard.

The cosmetic evaluated in the present embodiment is not particularly limited as long as it can be easily spread on the skin with a finger or the like and can form a thin film on the skin. The form of the cosmetic in bulk may be liquid, gel, cream, semi-solid or the like. Moreover, as cosmetics evaluated, foundation cosmetics, such as a lotion, a milky lotion, and a cosmetic liquid, a makeup base, a foundation, a hand cream, a body cream etc. are specifically mentioned.

<Apparatus for evaluating the feeling of use of cosmetics>
The device 1 for evaluating the feeling of use of the cosmetic according to the present embodiment, as shown in FIG. 2 and FIG. 3 (a), moves the operating body 12 while bringing the operating body 12 into contact with the cosmetic applied to the application surface 11. Using vibration detection means 20 for detecting vibrations generated by moving over time, data generation means 20 for generating data on temporal changes of frequency spectrum of vibration from the detected vibrations, and data generated And evaluation means 30 for evaluating the feeling of use of the cosmetic.

<How to choose cosmetics>
In addition, the method of evaluating use tactile sense of the above-mentioned cosmetics, and the apparatus which evaluates use tactile sense of cosmetics can be used for selection etc. of cosmetics. For example, if you want to select one or more cosmetics with the desired tactile sensation from a group of cosmetics that do not know the tactile sensation, or have a tactile sensation that is the same as or similar to the tactile sensation desired by the customer. The cosmetic can be used to recommend to customers.

Specifically, in one aspect of the present invention, a first evaluation step of evaluating use tactile sense of the cosmetic C ₀ using the method of evaluating use tactile sense of the above-mentioned cosmetic, and use tactile sense of the above-mentioned cosmetic A second evaluation step of evaluating the feeling of use of each of a plurality of selected cosmetic agents C ₁ to C _n (n is an integer) other than the cosmetic agent C ₀ using the method of evaluating the cosmetic C ₀ ; _A step of comparing the tactile sensation of use of _{0 with} the tactile sensation of use of the plurality of selected cosmetic preparations C ₁ to C _n ; and a plurality of cosmetics having a tactile sense of use closest to the tactile sensation of use of the cosmetic C ₀ ; The method may be a method of selecting a cosmetic, comprising the steps of: selecting a cosmetic selected from among C ₁ to C _n . Here, it is preferable that the method of evaluating the use tactile sense of the cosmetics used by a 1st evaluation step and a 2nd 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. In addition, 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 or the like wants to recommend to the user (customer) It can be done. The number of the plurality of cosmetics C ₁ to C _n can be, for example, 2 to 20, preferably 3 to 10.

The tactile sense of use evaluated in the first evaluation step and the second evaluation step in the method of selecting a cosmetic described above is the same. Moreover, the method of selecting the above-mentioned cosmetic can also be repeated multiple times for each different feeling of use. After that, as the final selection step, the cosmetic which has been most frequently selected can be finally selected.

Example 1
Evaluation of cosmetics was performed using the evaluation apparatus 1 as shown in FIG.

Several drops of a known cosmetic were dropped and spread on the skin on the inside of one forearm. Attach the 3-axis acceleration sensor (manufactured by TEC Co., Ltd., model: A3AX) to the side of the forefinger of the hand of the person who did not have the cosmetic dripped on the arm, and apply the finger to the surface of the applied cosmetic While making contact, while moving with a force of 2N or less. At this time, the fingertip of the index finger was moved at a speed of less than about 30 cm / sec. The above operation was started immediately after dripping and spreading the cosmetic, and continued for 60 seconds, and the vibration during that time was detected by the above-mentioned three-axis acceleration sensor (detection means).

The vibration detected about the said cosmetics was Fourier-transformed for a short time, and the distribution map which displayed the position with equal power spectral density which was created in the format similar to what was illustrated in FIG. 5 was obtained. At this time, generation of a spectrum diagram was performed using MATLAB (registered trademark) of The MathWorks. The distribution map displayed the power spectral density in the frequency range of 0-500 Hz.

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 of more than 0 Hz and less than 50 Hz, more than 50 Hz and less than 100 Hz, more than 100 Hz and less than 250 Hz, and more than 250 Hz and less than 500 Hz), and the horizontal axis is divided. (The time is divided into 4 of more than 0 seconds and less than 10 seconds, more than 10 seconds and less than 20 seconds, more than 20 seconds and less than 40 seconds, and more than 40 seconds and less than 60 seconds) to form the region from Z1 to Z16 did. Furthermore, in each region, an arithmetic mean value of power spectral density is obtained, and each value is set to v ₁ to v ₁₆ .

The above-described vibration detection and analysis was performed on a total of 20 known cosmetic preparations, and arithmetic mean values v ₁ to v ₁₆ were determined for each cosmetic preparation. On the other hand, sensory evaluation was performed on the feeling of use "freshness" when the cosmetic was first brought into contact with the skin and applied to each of the above-mentioned plurality of cosmetic. Sensory evaluation was evaluated by the score of relative comparison with the control sample by the expert panel.

Subsequently, using the above values v ₁ to v ₁₆ and the sensory evaluation score of “freshness” by the expert panel, linear regression analysis is performed using Matlab (trademark) manufactured by MathWorks, and a regression equation is determined. The Selection of the independent variables from the values v ₁ to v ₁₆ was performed by the stepwise method. As a result, as the dependent variable estimation score S of using tactile as "refreshed Is", and _{v 14} independent variables of the values _{v 1 ~ v 16, S =} -0.949 * v 14 becomes equation is obtained (Standardize and analyze each variable). This sensory evaluation scores used tactile as "refreshed Is" is called v _14, it 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.

7 shows evaluation values estimated from the regression equation and the (estimated value) S, the relation between the sensory evaluation value S ₀ by expert panel. The estimated value S is a value obtained by substituting v ₁₄ into the above regression equation for each of a plurality of known cosmetic preparations. According to FIG. 7, the plots are arranged on a proportional line whose slope is approximately 1. This relates to "refreshed Is", the above estimated value S calculated from the regression equation determined by linear regression analysis, it was confirmed that a value S ₀ is close to the score of sensory evaluation of expert panelists.

By using the evaluation criteria constructed as described above, it is possible to evaluate the feeling of use of the unknown cosmetic. At that time, the tactile sense of use of the unknown cosmetic performs detection of vibration and generation of data under the same conditions as the conditions performed in the construction of the evaluation criteria. Thus, 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 feeling of use of the unknown cosmetic is determined 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 spectral diagram, the values set to v _{1 ~} v _16. The above-described vibration detection and analysis was performed for a total of 21 known cosmetic preparations, and values v ₁ to v ₁₆ were obtained for each cosmetic preparation. On the other hand, in the same manner as in Example 1, sensory evaluation was performed by the expert panel with regard to the feeling of use "stickiness" for each of the plurality of known cosmetics described above.

Subsequently, linear regression analysis was performed to obtain a linear regression equation in the same manner as in Example 1 except that the feel in use was “sticky”. As a result, the equation S = −0.929 * v ₁₀ was obtained, with the estimated score S of “tackiness” as the dependent variable and the v ₁₀ among the values v ₁ to v ₁₆ as the independent variable. This sensory evaluation scores used tactile as "stickiness" is called v _10, it 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.

8 shows evaluation values estimated from the regression equation and the (estimated value) S, the relation between the sensory evaluation value S ₀ by expert 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, the plots are arranged on a proportional line whose inclination is 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 feeling of use of the unknown cosmetic. At that time, the tactile sense of use of the unknown cosmetic performs detection of vibration and generation of data under the same conditions as the conditions performed 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 An estimate of the score can be determined.

[Example 3]
In Examples 1 and 2, the skin on the inner side of the forearm was used as the application surface, and the fingertip of the forefinger was used as the working object. That is, in Examples 1 and 2, a human body was used as the vibration generating means 10. On the other hand, in Example 3, in the vibration generating means 10, a synthetic leather (manufactured by Komatsu Seirin Co., Ltd., trade name: Sapplare (registered trademark)) was used as the surface to be coated. Specifically, the synthetic leather was attached to a table having a flat surface, and the cosmetic was 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 addition, in Example 3, the time which performed the operation | movement which moves a finger was 90 seconds from immediately after dripping and spreading cosmetics.

In the same manner as in Example 1, a spectrum diagram (distribution diagram) displaying the positions where the power spectrum density is equal is obtained, and further, in the same manner as in Example 1, the power spectrum density of each of the divided regions in the spectrum diagram is Average values are determined and each value is v ₁ to v ₁₆ , but for the horizontal axis of the spectrum diagram, the time interval is 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 of more than seconds and less than 90 seconds.

In the same manner as in Example 2, the sensory evaluation was performed by the expert panel on the tactile sensation of "stickiness", and linear regression analysis was performed using the above values v ₁ to v ₁₆ and the sensory evaluation value by the expert panel. I asked. As a result, S = -0.675 * v ₁₄ -0.309, with v ₁₄ and v ₄ among the values v ₁ to v ₁₆ as independent variables, with the estimated score S of the tactile sensation "stickiness" as the dependent variable. * _{v 4} becomes formula was obtained. This means that the sensory evaluation score of the tactile sensation of "stickiness" can be significantly explained based on the predetermined time bands of v ₁₄ and v ₄ and the magnitude of the frequency components in the predetermined frequency band.

9 shows evaluation values estimated from the regression equation and the (estimated value) S, the relation between the sensory evaluation value S ₀ by expert panel. The estimated value S is a value obtained by substituting v ₁₄ and v ₄ into the above regression equation for each of a plurality of known cosmetics. According to FIG. 9, the plots are arranged on a proportional line whose slope is 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 feeling of use of the unknown cosmetic. At that time, the tactile sense of use of the unknown cosmetic performs detection of vibration and generation of data under the same conditions as the conditions performed in the construction of the evaluation criteria. As a result, by substituting z ₁₄ and v ₄ among the values obtained by analysis of the vibration obtained from the unknown cosmetic, into the above equation S = −0.675 * v ₁₄ −0.309 * v ₄ , It is possible to obtain an estimate of the sensory evaluation score of the feel of use of the unknown cosmetic.

Example 4
Example 4 is an example in which sensory evaluation is time-series sensory evaluation, and a model expression to be used for estimation of time-series sensory evaluation was created.

The generation and detection of vibration were performed 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 spectral diagram, the values set to v _{1 ~} v _16. The above-described vibration detection and analysis was performed for a total of six known cosmetic preparations, and values v ₁ to v ₁₆ were obtained for each cosmetic preparation.

On the other hand, the time-series sensory evaluation by 40 general panels was performed on each of the above-mentioned plurality of known cosmetic compositions by the TCATA method. More specifically, the subject starts cosmetic and application, and while the application continues, the subject selects one or more use tactile sensations among the plurality of tactile sensations (sensory evaluation items) each time, and feels I canceled the feeling of use that was lost each time. Input of item selection and cancellation is performed through the input device of the personal computer, and the result of the input can be displayed on the display device of the personal computer. In the present example, the evaluation items were four items of “there is thick”, “lightly spread”, “fresh”, and “stickiness”.

Subsequently, data input to the personal computer was processed by a processing device of the personal computer using software (sensory evaluation software FIZZ, manufactured by BIOSYSTEMS). In data processing, the proportion of the subject who selected each tactile sense for each unit time was calculated as the degree of superiority, plotted over time, and the results were displayed as a graph. In addition, about a predetermined use tactile sense, if all the subjects have selected the use tactile sense at a certain point of time, the superiority degree becomes 100%, and if there is no test subject who selects the use tactile sense, 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 time-series sensory evaluation about each use tactile sense is shown. In the present example, the graph of the feeling of use “a thick one” is extracted among the plurality of graphs of the feeling of use illustrated. FIG. 11 shows a graph after extraction.

Furthermore, the graph of FIG. 11 was divided into three in the time axis direction, and was defined as the early, middle, and late periods. Since the entire evaluation period was 100 seconds, each of the early, middle and late periods was about 33 seconds. And the representative evaluation value of the usage tactile sense that "there is a solidity" in each period was calculated. In this example, average values P _a4 , P _b4 , and P _c4 of superiority of each period are obtained as representative evaluation values, respectively, and used as representative evaluation values in each period.

In Example 4, a model equation was determined using the latter-stage average value P _c4 of the representative evaluation values described above and the values v ₁ to v ₁₆ acquired as described above. The model equation was determined by regression analysis using Matlab (registered trademark) manufactured by MathWorks, as in Example 1. Selection of independent variables from values v ₁ to v ₁₆ was also performed by the stepwise method as in Example 1.

As a result, P _c4 = −41.733 * (log v ₆ ) − where the average value P _c4 which is a representative evaluation value in the late evaluation period is a dependent variable and v ₆ is an independent variable among the values v ₁ to v ₁₆ The following equation (R ² = 0.7109) 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 "having a solidity" can be significantly explained based on the magnitude of frequency components in a predetermined time band and a predetermined frequency band. . The relationship between P _c4 and logv ₆ is shown in the graph in FIG.

By constructing and storing the evaluation criteria in this manner, it is possible to estimate the evaluation in a predetermined evaluation period of the time-series sensory evaluation of the use sensation of the unknown cosmetic. At that time, the tactile sense of use of the unknown cosmetic performs detection of vibration and generation of data under the same conditions as the conditions performed in the construction of the evaluation criteria. In this way, by substituting the value v ₆ obtained from the analysis of the unknown cosmetic into the above-mentioned model equation, it is possible to use the sense of use “feels good” when performing time-series sensory evaluation on the unknown cosmetic. , It is possible to estimate a representative value (average value of superiority) in the later stage of the evaluation period.

[Example 5]
As in Example 4, data acquisition, analysis, time-series sensory evaluation, and the like were performed on the frequency spectrum of vibration. However, in Example 5, in place of the feeling of use of "there is a solidity", a model formula for feeling of use of "stickiness" was created.

From the graph of time-series sensory evaluation (FIG. 10) obtained in the same manner as in Example 4, a graph of tactile sensation "stickiness" is extracted, and this graph is used for about 33 seconds each as in Example 4. Divided into three parts, one for the first, second and third. And the representative evaluation value of the use tactile sense of "stickiness" in each period was determined. In this example, average values P _a5 , P _b5 , and P _c5 of the predominance levels of the respective periods are respectively obtained and used as representative evaluation values in the respective periods. FIG. 13 shows a graph after extraction.

Among the representative evaluation values described above, model expressions were obtained using the average value P _{a5 of the} previous period and the values v ₁ to v ₁₆ acquired as described above. The formula is determined in the same manner as in Example 4. As a result, the following equation (R ² = 0.839) was obtained: P _a5 = −16.248 * (logv ₆ ) −89.607 From these results, it was found that the evaluation described later of the evaluation period in the TCATA method of the feeling of use "tackiness" can be significantly explained based on the magnitude of frequency components in a predetermined time band and a 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 criterion. 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 Substituting in the above makes it possible to estimate the representative value (average value of superiority) of the feeling of use of "stickiness" in the first half of the evaluation period when performing time-series sensory evaluation on an unknown cosmetic .

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

DESCRIPTION OF SYMBOLS 1 evaluation apparatus 10 vibration generation means 11 to-be-coated surface 12 operation body 15 cosmetic 20 vibration detection means 30 data generation means 40 evaluation means

Claims (13)

1. A vibration detection step of sequentially detecting a vibration generated by moving the operating body while bringing the operating body into contact with the cosmetic applied to the application surface;
   A data generation step of generating data on temporal changes in the frequency spectrum of the vibration from the detected vibration;
   Evaluating the feeling of use of the cosmetic, using the generated data to evaluate the feeling of use of the cosmetic.
2. In the evaluation step, the use tactile sensation of the cosmetic is evaluated based on the previously determined relationship between data regarding temporal changes of the frequency spectrum of vibration and the sensory evaluation of use tactile of the cosmetic. The method described in.
3. The method according to claim 2, wherein the data on temporal changes in the frequency spectrum of the vibration includes a predetermined elapsed time after applying the cosmetic and a value on the magnitude of the vibration corresponding to a predetermined frequency.
4. The method according to claim 3, wherein the value regarding the magnitude of the vibration includes statistics of power spectral density in a predetermined elapsed time band and a predetermined frequency band after applying the cosmetic.
5. The statistic is at least one of an arithmetic mean value, a geometric mean value, a median value, a maximum value, and a total value of the power spectral density in a predetermined elapsed time band and a predetermined frequency band after application of a cosmetic. The method according to claim 4.
6. The method according to claim 3, wherein the relationship is given by a regression equation, and in the regression equation, the independent variable includes a value related to the magnitude of the vibration, and the dependent variable includes a sensory evaluation of usage feeling of the cosmetic. .
7. The value relating to the magnitude of the vibration is a first value relating to the magnitude of vibration corresponding to a first predetermined elapsed time after applying the cosmetic and a first predetermined frequency, and a second value after applying the cosmetic. A second value for the magnitude of vibration corresponding to a second predetermined elapsed time and a second predetermined frequency;
   7. The method of claim 6, wherein the independent variables include the first value and the second value.
8. The method according to claim 6, wherein the independent variable further includes at least one of a viscosity value of the cosmetic, a first normal stress difference, a deformation amount of the working object, and a friction value of the cosmetic.
9. The method according to claim 1, wherein the vibration detection step detects a vibration transmitted to the application surface and / or the working object.
10. The method according to claim 2, wherein the sensory evaluation of the feel of use of the cosmetic comprises time-series sensory evaluation.
11. The method according to claim 10, wherein the sensory evaluation of the tactile sense of use of the cosmetic is a representative value of evaluation in a predetermined period of the time-series sensory evaluation.
12. Vibration detection means for detecting, over time, vibrations generated by moving the operating body while bringing the operating body into contact with the cosmetic applied to the application surface;
    Data generation means for generating data on temporal changes in the frequency spectrum of the vibration from the detected vibration;
    An evaluation means for evaluating the feeling of use of the cosmetic using the generated data; and a device for evaluating the feeling of use of the cosmetic.
13. A first evaluation step of evaluating the use feeling of the cosmetic using the method of evaluating the use feeling of the cosmetic according to claim 1;
    A second evaluation step of evaluating use tactile senses of a plurality of selection target cosmetic agents different from the cosmetic using the method of evaluating use tactile sense of the cosmetic used in the first evaluation step;
    Comparing the use feeling of the cosmetic with the use feeling of each of the plurality of selected cosmetics;
    And v. Selecting a cosmetic having a feeling of use closest to the feeling of use of the cosmetic from the plurality of selected cosmetic preparations.

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