JP6940943B2 - A method for designing a film-forming composition and a cosmetic containing the same. - Google Patents

Description

The present invention relates to a film-forming composition and a method for designing a cosmetic containing the same.

Conventionally, in the field of cosmetics, there has been a problem that a cosmetic film formed on the skin of the face cannot cope with the movement of the skin due to a change in facial expression and is torn or peeled off.
Patent Document 1 includes a partially crosslinked organopolysiloxane polymer, a (sodium acrylate / sodium acryloyldimethyltaurine) copolymer, and an acrylic-silicone graft copolymer as cosmetics capable of following movements due to changes in facial expressions. We are proposing cosmetics.
Patent Document 2 discloses a cosmetic containing an acrylic acid / alkyl methacrylate copolymer, fine particle silica, and a film-forming agent as a means for solving the problem of easily peeling off due to the movement of the skin.

By the way, people give a wide variety of impressions to others due to various factors such as their appearance and behavior. Among them, visual information, especially the appearance of the face, can be said to be one of the very important factors that determine the impression of the person.

Therefore, research is being conducted on techniques for acquiring parameters that affect the appearance of human faces. For example, Patent Document 3 discloses a technique of measuring the brightness of a measurement target portion on a subject's face, generating a histogram, and evaluating the skin condition of the subject from the shape of the histogram.

Further, Patent Document 4 discloses a technique for estimating the age of a subject by acquiring a facial image of the subject and calculating the intensity of the spatial frequency from the image.

Japanese Unexamined Patent Publication No. 2014-156431 Japanese Unexamined Patent Publication No. 09-151125 Japanese Unexamined Patent Publication No. 2009-131336 Re-table 2011-162050

As described above, in the technical field of cosmetics, there has been a demand for the development of a cosmetic film capable of responding to the movement of facial expressions. Cosmetics that have been proposed so far as a means for solving this problem have not had sufficient elasticity to cope with the movement of the skin accompanying changes in facial expressions.
In view of such a situation, the first problem to be solved by the present invention is to provide a film-forming composition having elasticity capable of responding to the movement of the skin.

Further, as described above, parameters for evaluating the skin condition of the subject have been examined, but all of these are only obtained by observing the face of the subject at a certain moment.

However, the impression of human appearance is formed by various factors, and a cosmetic that can make a more accurate estimation and improve it has been desired.

Therefore, a second object of the present invention is to provide a cosmetic design method based on a skin condition discrimination method capable of more accurately discriminating the skin condition.

The present invention for solving the first problem is a film-forming composition comprising a powder having an average surface friction coefficient (MIU) of 0.6 or more and a film-forming agent.
The film-forming composition of the present invention has elasticity that can correspond to the movement of the skin, and can maintain a uniform finish even when the skin moves.

In the preferred embodiment of the present invention, the powder is a rough surface powder.
The film-forming composition of the present invention in the form containing a rough surface powder is excellent in the effect of maintaining a uniform film on the skin.

In a preferred embodiment of the present invention, a hydrophobic powder is used as the powder.
Thereby, the effect of maintaining a uniform film on the skin can be improved.

In a preferred embodiment of the present invention, the powder is a spherical powder.
Since the spherical powder has a high ability to adhere to the skin, the film-forming composition in this form is excellent in the effect of maintaining the uniformity of the film with respect to the movement of the skin.

In a preferred embodiment of the present invention, the film-forming agent is a water-soluble film-forming agent.
The film-forming composition containing the water-soluble film-forming agent is excellent in the effect of maintaining a uniform film on the skin and also in a refreshing feeling.

In the present invention, an acrylic polymer is preferably used as the film-forming agent, and a polymer of alkyl acrylate and / or alkyl methacrylate is more preferable.
By forming a form containing such a film-forming agent, the effect of maintaining a uniform film on the skin can be improved.

In the present invention, it is preferably in the form of containing a functional powder.
By applying a film-forming composition containing a functional powder to the skin, the apparent skin condition can be improved.

In the present invention, it is preferably in the form of containing a light scattering powder as a functional powder.
As will be described later, there is a correlation between the human skin condition and the optically detectable features of the facial expression. According to the film-forming composition of the present invention in the form containing a light-scattering powder, the apparent skin condition after application of the composition can be improved.

The above-mentioned film-forming composition of the present invention is preferably applied to cosmetics because it can form a cosmetic film that can maintain uniformity even by the movement of the skin.

Further, as will be described later, there is a correlation between the human skin condition and the optically detectable feature amount of the facial expression. Therefore, if the cosmetics are evaluated using the change in the feature amount before and after makeup as an index, it is possible to design a cosmetic that can improve the appearance of the skin after makeup.
That is, the present invention that solves the second problem is a method for designing a cosmetic, which is a post-makeup image acquisition step of acquiring a post-makeup image of a facial expression after makeup.
A post-makeup feature amount extraction step for extracting a post-makeup feature amount that can be optically detected from the post-makeup image, and a post-makeup feature amount extraction step.
An evaluation step of comparing the post-makeup feature amount with the pre-makeup feature amount of the same person obtained in advance in the same manner to evaluate the makeup effect, and
A selection step of selecting a formulation of the cosmetic based on the cosmetic effect.
A method for designing a cosmetic, which comprises selecting one or more kinds of powders and one or more kinds of film forming agents as components of the cosmetics in the selection step.

According to the cosmetic design method of the present invention, it is possible to easily design a cosmetic that can improve the skin condition that appears due to a change in facial expression after makeup.

In a preferred embodiment of the present invention, in the post-makeup image acquisition step, a plurality of post-makeup images having different facial expressions are acquired.
In the post-makeup feature amount extraction step, the feature amount for each of the plurality of post-makeup images is extracted.
In the evaluation step, the cosmetic effect is evaluated from the variation among the plurality of feature amounts.
In the selection step, the formulation is selected so that the variation is small.

In a preferred embodiment of the present invention, the feature amount includes an area of a high-luminance region having a brightness higher than a predetermined brightness in the post-makeup image.
In the selection step, the formulation is selected so that the area of the high-luminance region is small.

In a preferred embodiment of the present invention, the feature amount comprises an amount relating to a streak-shaped region around the pores of the skin.
In the selection step, the formulation is selected so that the area of the streak-shaped region becomes small.

In addition, the design method of the present invention may be in the form of using a skin substitute as a sample.
That is, the present invention comprises a post-coating image acquisition step of acquiring a post-coating image obtained by photographing the sample to which the cosmetic is applied.
The post-application feature amount extraction step for extracting the feature amount after application of the cosmetic that can be optically detected from the post-application image, and the post-application feature amount extraction step.
An evaluation step of comparing the feature amount after application of the cosmetic with the feature amount of the same sample obtained in advance before application of the cosmetic to evaluate the cosmetic effect, and an evaluation step.
It comprises a selection step of selecting a formulation of the ingredients of the cosmetic based on the cosmetic effect.
The present invention also relates to a method for designing a cosmetic, which comprises selecting one or more kinds of powders and one or more kinds of film forming agents as components of the cosmetics in the selection step. ..

According to the cosmetic design method of the present invention, it is possible to easily design a cosmetic that can improve the skin condition that appears due to a change in facial expression by using a skin substitute.

In a preferred embodiment of the present invention, in the post-coating image acquisition step, a plurality of the post-coating images in a state in which the sample is deformed into a different shape are acquired.
In the post-coating feature amount extraction step, the feature amount for each of the plurality of post-coating images is extracted.
In the evaluation step, the cosmetic effect is evaluated from the variation among the plurality of feature amounts.
In the selection step, the formulation is selected so that the variation is small.

In a preferred embodiment of the present invention, the surface shape of the sample imitates the pores of human skin.
The feature amount includes the amount related to the streak-shaped area around the pores of the skin.
In the selection step, the formulation is selected so that the area of the streak-shaped region becomes small.

In a preferred embodiment of the present invention, the feature amount includes an area of a high-luminance region having a brightness higher than a predetermined brightness in the image after coating.
In the selection step, the formulation is selected so that the area of the high-luminance region is small.

In a preferred embodiment of the present invention, in the selection step,
When selecting a hydrophobic powder as the powder, select a water-soluble film-forming agent as the film-forming agent, and then select a water-soluble film-forming agent.
When a hydrophilic powder is selected as the powder, a hydrophobic film-forming agent is selected as the film-forming agent.
In this way, by selecting powders and film-forming agents having different properties in terms of affinity for water, it is possible to design a cosmetic that is more excellent in improving the skin condition that appears due to changes in facial expressions. ..

By the way, when applied to the face, the above-mentioned film-forming composition of the present invention is excellent in the ability to maintain the uniformity of the film formed on the skin against the movement of the skin due to changes in facial expressions.
That is, if the method for designing the cosmetic of the present invention is such that the formulation is selected so as to be the same as the composition for forming a film of the present invention, the makeup having an excellent effect of improving the skin condition that appears due to the change in facial expression. Fees can be designed efficiently.
That is, in the present invention, it is preferable that the powder having an average surface friction coefficient (MIU) of 0.6 or more is selected as the powder in the selection step.

Further, regarding the cosmetic design method of the present invention, if the film-forming composition of the present invention is used as an essential component of the cosmetic and other additional components are selected, the skin condition that appears due to the change in facial expression is improved. It is possible to efficiently design cosmetics with excellent effects.
That is, in a preferred embodiment of the present invention, in the selection step, a powder having an average surface friction coefficient (MIU) of 0.6 or more is selected as the powder, and one or more additional components are selected. do.

A preferred embodiment of the present invention is characterized in that one or more functional powders are selected as the additional component.
By selecting a functional powder as an additional ingredient, it is possible to efficiently design a cosmetic having an excellent effect of improving the skin condition that appears due to a change in facial expression.

In the present invention, it is preferable to select a light scattering powder as the functional powder.
As will be described later, there is a correlation between the human skin condition and the optically detectable features of the facial expression. Therefore, by selecting a light-scattering powder that affects the optically detectable features as an additional component, a cosmetic having an excellent effect on improving the skin condition that appears due to changes in facial expressions can be efficiently produced. Can be designed to.

The film-forming composition of the present invention has elasticity that can correspond to the movement of the skin, and can maintain a uniform finish even when the skin moves.
Further, according to the cosmetic design method of the present invention, it is possible to easily design a cosmetic that can improve the skin condition that appears when the facial expression changes.

It is a flowchart which shows the identification method of the skin state using a high luminance area. It is a flowchart which shows the identification method of the skin condition using the streak shape area. It is a flowchart which shows the evaluation method of cosmetics. It is a flowchart which shows the design method of the cosmetics which concerns on this invention. It is a figure which shows an example of the facial expression of the subject included in the moving image to be analyzed (drawing substitute photograph). It is a figure which shows the shooting angle of the moving image to be analyzed (drawing substitute photograph). It is a figure which shows an example of the B image extracted from a frame image (drawing substitute photograph). It is a figure which shows an example of the shiny area extracted from the B image (drawing substitute photograph). It is a figure which shows the calculation result of the ratio of the shiny area for the subject in the twenties. It is a figure which shows the calculation result of the ratio of the shiny area about the subject in the thirties. It is a figure which shows the calculation result of the ratio of the shiny area about the subject in 40s. It is a figure which shows the calculation result of the ratio of the shiny area about the subject in the 50s. It is a figure which shows the calculation result of the ratio of the shiny area about the subject in the 60s. It is a figure which shows the calculation result of the average value by the age of the ratio of the shiny area. It is a figure which shows the calculation result of the average value by the age of the standard deviation between facial expressions of the ratio of the shiny area. It is a figure which shows the calculation result of the ratio of the streak shape area for the subject in the twenties. It is a figure which shows the calculation result of the ratio of the streak shape area for the subject in the thirties. It is a figure which shows the calculation result of the ratio of the streak shape area for the subject in 40s. It is a figure which shows the calculation result of the ratio of the streak shape area for the subject in the 50s. It is a figure which shows the calculation result of the ratio of the streak shape area for the subject in the 60s. It is a figure which shows the calculation result of the average value by the age of the ratio of the streak shape area. It is a figure which shows the calculation result of the average value by the age of the standard deviation between each facial expression of the ratio of the streak shape area. It is a figure which shows the calculation result of the shiny area before and after makeup. It is a figure which shows the calculation result of the streak shape area before and after makeup. It is a figure which shows the state of deformation of artificial skin (drawing substitute photograph). It is a figure which shows an example of the B image extracted from the photographed image of artificial skin (drawing substitute photograph). It is a figure which shows an example of the shiny region extracted from the B image of artificial skin (drawing substitute photograph). It is a figure which shows an example of the streak-shaped region extracted from the G image of artificial skin (drawing substitute photograph). It is a figure which shows the calculation result of the shiny area at the time of deformation of an artificial skin. It is a figure which shows the calculation result of the ratio of the streak shape area at the time of deformation of an artificial skin. It is a figure which shows the state of the facial expression change of a subject in a bare skin state. (Drawing substitute photo) It is a figure which shows the state of the facial expression change of the subject in the state which used the cosmetic of Comparative Example 3. FIG. (Drawing substitute photo) It is a figure which shows the state of the facial expression change of the subject in the state which used the cosmetic of Example 1. FIG. (Drawing substitute photo) It is a figure which shows the state of the change of the shiny area of a subject in a bare skin state. (Drawing substitute photo) It is a figure which shows the state of the change of the shiny area of a subject in the state of using the cosmetic of Comparative Example 3. FIG. (Drawing substitute photo) It is a figure which shows the state of the change of the shiny area of a subject in the state of using the cosmetic of Example 1. FIG. (Drawing substitute photo) It is a figure which shows the calculation result of the shiny area for each state of bare skin, the use of the cosmetic of Comparative Example 3, and the use of the cosmetic of Example 1. It is a figure which shows the state of the change of the streak shape region of a subject in a bare skin state. (Drawing substitute photo) It is a figure which shows the state of the change of the streak shape region of a subject in the state of using the cosmetic of Comparative Example 3. FIG. (Drawing substitute photo) It is a figure which shows the state of the change of the streak shape region of a subject in the state of using the cosmetic of Example 1. FIG. (Drawing substitute photo) It is a figure which shows the calculation result of the streak shape area for each state of bare skin, the use of the cosmetic of Comparative Example 3, and the use of the cosmetic of Example 1.

<1> Film-forming composition The film-forming composition of the present invention contains, as essential components, a powder having an average surface friction coefficient (MIU) of 0.6 or more, and a film-forming agent.

The average surface friction coefficient (MIU) is a value that can be measured by a friction tester (for example, KES-SE, Kato Tech, Japan).
In the present invention, a powder having an average surface friction coefficient of 0.6 or more, more preferably 0.7 or more, still more preferably 0.8 or more is used. As long as the average surface friction coefficient of the surface is within the above range, a powder in the form of containing other powder may be used.

Any type of powder has an average surface friction coefficient in the above range, but a hydrophobic powder or a rough surface powder is preferably used, and a rough surface hydrophobic powder is more preferably used.

The hydrophobic powder is not particularly limited as long as it is used in ordinary cosmetics, and for example, polyamide powder, nylon powder, polyester powder, polyethylene powder, polytetrafluorinated ethylene powder, polypropylene powder, polystyrene powder, etc. Benzoguanamine powder, polymethylbenzoguanamine powder, polymethylmethacrylate powder, polyurethane powder, vinyl resin, fluororesin, acrylic resin, melamine resin; silicone powder such as silicone elastomer powder cross-linked with dimethyl silicone and polymethylsilsesquioxane powder; acrylic Poly (meth) acrylic acid, poly, such as butyl acid / vinyl acetate copolymer, styrene / acrylic acid copolymer, divinylbenzene / styrene copolymer, (lauryl methacrylate / ethylene glycol dimethacrylate) copolymer, etc. Cross-linked or non-cross-linked powder of one or more polymers or copolymers selected from sodium (meth) acrylate, poly (meth) acrylic acid ester, and poly (meth) alkylene glycol acrylate. Examples include organic spherical powder.

Examples of the hydrophobic powder include KMP-590, KSP-100, KSP-101, KSP-105, KSP-300 (Shin-Etsu Chemical Co., Ltd.); Tospearl 120A, Tospearl 145A, Tospearl 2000B, Tospearl 1110A (Momentive Performance). (Materials Japan); Trefil E506S, Trefil E508, EP-9215, BY29-129 (Toray Dow Corning); Matsumoto Microsphere M, Matsumoto Microsphere M-100, Matsumoto Microsphere M-101 , Matsumoto Microsphere M-201, Matsumoto Microsphere M-306, Matsumoto Microsphere S-100 (Matsumoto Yushi Pharmaceutical Co., Ltd.); Nylon SP-500, Nylon SP-10, Nylon SP-20 (Toray Industries, Inc.); Use commercially available products such as Love Color KL501-CL, Love Color HL201-CL, Love Color ET601-W, Love Color MT501-W (Dainichiseika Kogyo Co., Ltd.), and TOSPEARL 150KA (Momentive Performance Materials Co., Ltd.). Can be done.

The hydrophobic powder can also be obtained by hydrophobizing the surface of the hydrophilic powder. The hydrophobizing treatment includes methods applied to ordinary cosmetic powders, such as silicone treatment, fatty acid treatment, lauroyl lysine treatment, surfactant treatment, metal soap treatment, fluorine treatment, lecithin treatment and the like. Of these, silicone treatment, fatty acid treatment and fluorine treatment are preferable. Specifically, the silicone treatment includes, for example, methylhydrogenpolysiloxane, methylpolysiloxane, trimethylsiloxysilicate, triethoxycaprylylsilane, silicone resin, and the like; and the fatty acid treatment includes, for example, myristic acid and stear. Treatment with acid or the like; Examples of the fluorine treatment include treatment with a pearl fluoroalkyl phosphate, perfluoroalkyl silane, and the like.

Examples of the hydrophilic powder include organic powders such as starch, crystalline cellulose and silk powder, kaolin, montmorillonite-based clay minerals or calcium carbonate, calcium phosphate, aluminum silicate, magnesium silicate, magnesium sulfate, magnesium carbonate and aluminum silicate. Magnesium, titanium oxide, zinc oxide, silicic anhydride, aluminum oxide, magnesium oxide, zirconium oxide, magnesium carbonate, mica, synthetic mica, synthetic sericite, sericite, talc, silica, silicon carbide, barium sulfate, boron nitride, oxy Inorganic powders such as bismuth chloride and mica titanium, organic powders such as nylon, fine particle titanium oxide-coated mica titanium, fine particle zinc oxide-coated mica titanium, and composite powder such as barium sulfate-coated mica titanium. Can be mentioned.

The rough surface powder can also be obtained by roughening the powder as described above according to a conventional method. Specifically, the roughening treatment can be performed by a method such as making the powder porous, performing a non-uniform surface treatment, or compounding the fine particle powder on the powder surface. In addition, Love Corrole KL501-CL, Love Corrole HL201-CL, Love Corrole ET601-W, Love Corrole MT501-W (Dainichiseika Kogyo Co., Ltd.), TOSPEARL 150KA (Momentive Performance Materials Co., Ltd.), SATENERI M5 (JGC) Commercially available products such as (manufactured by JGC Catalysts and Chemicals), Matsumoto Microsphere S100 (manufactured by Matsumoto Yushi Pharmaceutical Co., Ltd.), and SMT-57S (manufactured by TAYCA) can be used.

The shape of the powder is not particularly limited, and either plate-shaped powder or spherical powder may be used as long as the average surface friction coefficient is within the above range, but spherical powder is preferably used. Particularly preferred are Love Corrole KL501-CL, Love Corrole HL201-CL, Love Corrole ET601-W, Love Corrole MT501-W (Dainichiseika Kogyo Co., Ltd.), TOSPEARL 150KA (Momentive Performance Materials Co., Ltd.), Matsumoto Micro. A rough surface hydrophobic spherical powder typified by a commercially available product such as Sphere S100 (manufactured by Matsumoto Yushi Pharmaceutical Co., Ltd.) is used.

Other than the above powders, as long as the average surface friction coefficient of the surface is within the above range, for example, the surface may be treated, mica, talc, kaolin, synthetic mica, calcium carbonate, magnesium carbonate, etc. Powders such as silicic anhydride (silica), aluminum oxide, barium sulfate; surface-treated, red iron oxide, yellow iron oxide, black iron oxide, cobalt oxide, ultramarine blue, dark blue, titanium oxide, zinc oxide Inorganic pigments; Pearl agents such as mica titanium, fish phosphorus foil, bismuth oxychloride, etc., whose surface may be treated; Red No. 202, Red No. 228, Red No. 226, Yellow 4 which may be raked. No., Blue No. 404, Yellow No. 5, Red No. 505, Red No. 230, Red No. 223, Orange No. 201, Red No. 213, Yellow No. 204, Yellow No. 203, Blue No. 1, Green No. 201, Purple No. 201, Organic pigments such as Red No. 204 can be used.

The content of the powder having a MIU of 0.6 or more in the film-forming composition is preferably 0.01 to 10% by mass, more preferably 0.1 to 5% by mass, and further preferably 0.2 to 2% by mass. %, More preferably 0.3 to 1% by mass.
By setting the content of the powder in the above range, it is possible to improve the effect of maintaining a uniform coating film in response to the movement of the skin.

As the film forming agent, either a hydrophobic film forming agent or a water-soluble film forming agent may be used, but a water-soluble film forming agent is particularly preferable.
Examples of the water-soluble film-forming agent include water-soluble polysaccharides such as pullulan, etherified starch, chitosan, sodium alginate, locust bean gum, guar gum, methyl cellulose and carboxymethyl cellulose, acrylic polymers, polyvinyl alcohol and polyvinylpyrrolidone. Various natural and synthetic resins having the ability to form a film can be used. It is particularly preferable to use an acrylic polymer as a film-forming agent, and more preferably a polymer of alkyl acrylate and / or alkyl methacrylate. As the acrylic polymer, a commercially available product (for example, Polyjoint JN (Taisei Kako Co., Ltd.)) may be used.

Examples of the hydrophobic film forming agent include ethyl cellulose, acetyl cellulose, nitrocellulose, vinyl acetate resin, acrylic resin, silicone-based film forming agent, high degree of polymerization silicone and ester gum having a degree of substitution of 1.5 or more.

The content of the film-forming agent in the film-forming composition is preferably 0.01 to 5% by mass, more preferably 0.05 to 2% by mass, still more preferably 0.1 to 1% by mass, still more preferably 0. .2 to 0.6% by mass.
By setting the content of the powder in the above range, it is possible to improve the effect of maintaining a uniform coating film in response to the movement of the skin.

The mass ratio of the powder having a MIU of 0.6 or more to the film forming agent is preferably 100: 1 to 1:10, more preferably 50: 1 to 1: 5, and even more preferably 10: 1 to 1. : 3, more preferably 5: 1 to 1: 2, still more preferably 5: 2 to 1: 1.
By setting the content mass ratio of the powder and the film-forming agent within the above range, it is possible to improve the effect of maintaining a uniform coating film in response to the movement of the skin.

The film-forming composition preferably contains a functional powder. According to the film-forming composition containing the functional powder, it is possible to improve the apparent skin condition appearing on the facial expression after applying the composition.
In the present invention, the "functional powder" includes all powders having a property of imparting some function to a composition containing the same, such as a function of reflecting, scattering and absorbing light and a function of improving the feel. ..

Examples of the functional powder include talc, boron nitride, sericite, natural mica, calcined mica, synthetic mica, synthetic sericite, plate alumina, barium plate sulfate, silicic anhydride, plate titanium oxide, and the like. Plate-shaped zinc oxide, plate-shaped PMMA, potassium fluoride calcined product, aluminum powder, hex talc, kaolin, bentonite, smectite, montmorillonite, biderite, saponite, lauroyl lysine, lauroyl taurine calcium, long-chain alkyl phosphate metal salt powder, Metal soap powder, PTFE powder, mica titanium, titanium oxide coated mica, titanium oxide coated silica flakes, titanium oxide coated alumina flakes, titanium oxide / tin oxide coated alumina flakes, silica coated copper flakes, silica coated bronze flakes, iron oxide coated mica , Aluminum oxide coated mica, zinc oxide coated mica titanium, zinc oxide coated talc, iron oxide coated mica titanium, barium sulfate coated mica titanium, organic dye coated mica titanium, titanium oxide coated synthetic mica, talc titanium, spherical pearl, bismuth oxychloride , Fish scale foil, fish scale foil polyethylene terephthalate / aluminum / epoxy laminated powder, polyethylene terephthalate / polyolefin laminated film powder, polyethylene terephthalate / polymethylmethacrylate laminated film powder, plate-like powder such as lame agent; mica, yellow iron oxide, black oxidation Inorganic pigments of iron, cobalt oxide, ultramarine, navy blue, titanium oxide, zinc oxide; red 202, red 228, red 226, yellow 4, blue 404, yellow 5, which may be raked. Organic pigments such as red 505, red 230, red 223, orange 201, red 213, yellow 204, yellow 203, blue 1, green 201, purple 201, red 204, etc. Can be mentioned.

The film-forming composition preferably contains a light-scattering powder as the functional powder. According to the film-forming composition containing a light-scattering powder, it is possible to improve the apparent skin condition that appears on the facial expression after application of the composition.

Either an inorganic powder or an organic powder may be used as the light-scattering powder, examples of the inorganic powder include silica oxide and aluminum oxide, and examples of the organic powder include polyethylene, polymethylmethacrylate, and polystyrene. Examples thereof include nylon, cellulose, silicone and polyurethane. As light-scattering particles, the surface of flaky powder having a high aspect ratio such as mica, sericite, flaky alumina, flaky silica, flaky glass flakes, and borosilicate glass has a thickness of zinc oxide or titanium dioxide. So-called pearl powder coated with different thin films can also be used.

The content of the functional powder in the film-forming composition is not particularly limited, but is preferably 0.01 to 20% by mass, more preferably 0.1 to 10% by mass, and further preferably 0.5 to 5% by mass. Can be used as a guide.

The film-forming composition of the present invention is preferably in the form of an external preparation such as a pharmaceutical or cosmetic, but is particularly preferably in the form of a cosmetic.
Any component may be added to the cosmetic containing the film-forming composition of the present invention as long as the effects of the present invention are not lost. Such optional ingredients include, for example, macadamia nut oil, avocado oil, corn oil, olive oil, rapeseed oil, sesame oil, castor oil, saflower oil, cottonseed oil, jojoba oil, palm oil, palm oil, liquid lanolin, hardened palm oil, and cured. Oils, mokuro, hardened castor oil, beeswax, candelilla wax, carnauba wax, ibotarou, lanolin, reduced lanolin, hard lanolin, jojobaro, etc. Hydrocarbons such as crystallin wax, higher fatty acids such as oleic acid, isostearic acid, lauric acid, myristic acid, palmitic acid, stearic acid, bechenic acid, and undecylene acid, cetyl alcohol, stearyl alcohol, isostearyl alcohol, behenyl alcohol, octyl. Higher alcohols such as dodecanol, myristyl alcohol, and cetostearyl alcohol, cetyl isooctanoate, isopropyl myristate, hexyldecyl isostearate, diisopropyl adipate, di-2-ethylhexyl sevanate, cetyl lactate, diisostearyl malate, di Ethylene glycol -2-ethylhexanoate, neopentylglycol dicaprate, glycerin di-2-heptylundecanoate, glycerin tri-2-ethylhexaneate, trimethylolpropane tri-2-ethylhexaneate, trimethylolpropane triisostearate , Synthetic ester oils such as penta-2-ethylhexanoic acid pentanerytrit, chain polysiloxane such as dimethylpolysiloxane, methylphenylpolysiloxane, diphenylpolysiloxane, octamethylcyclotetrasiloxane, decamethylcyclopentasiloxane, dodeca Cyclic polysiloxanes such as methylcyclohexanesiloxane, amino-modified polysiloxanes, polyether-modified polysiloxanes, alkyl-modified polysiloxanes, fluorine-modified polysiloxanes and other modified polysiloxanes, and other oils such as silicone oils, fatty acid sequels (sodium laurate, (Sodium palmitate, etc.), anionic surfactants such as potassium lauryl sulfate, triethanolamine ether alkylsulfate, cationic surfactants such as stearyltrimethylammonium chloride, benzalconium chloride, and laurylamine oxide, and imidazoline-based amphoteric surface activity. Agent (2-cocoyl-2-imidazo) Lynium hydroxide-1-carboxyethyroxy disodium salt, etc.), betaine-based surfactants (alkylbetaine, amide betaine, sulfobetaine, etc.), amphoteric surfactants such as acylmethyltaurine, sorbitan fatty acid esters (sorbitan) Monostearate, sorbitan sesquioleate, etc.), glycerin fatty acids (glycerin monostearate, etc.), propylene glycol fatty acid esters (propylene glycol monostearate, etc.), hardened castor oil derivatives, glycerin alkyl ethers, POE sorbitan fatty acid esters, etc. (POE sorbitan monooleate, polyochiethylene sorbitan monostearate, etc.), POE sorbit fatty acid esters (POE-sorbit monolaurate, etc.), POE glycerin fatty acid esters (POE-glycerin monoisostearate, etc.), POE fatty acids Esters (polyethylene glycol monooleate, POE distearate, etc.), POE alkyl ethers (POE2-octyldodecyl ether, etc.), POE alkylphenyl ethers (POE nonylphenyl ether, etc.), pluronic types, POE / POP alkyl ethers (POE / POP alkyl ethers, etc.) POE / POP2-decyltetradecyl ether, etc.), Tetronics, POE castor oil / cured castor oil derivative (POE castor oil, POE cured castor oil, etc.), sucrose fatty acid ester, alkyl glucoside and other nonionic surfactants , Polyethylene glycol, glycerin, 1,3-butylene glycol, erythritol, sorbitol, xylitol, martitol, propylene glycol, dipropylene glycol, diglycerin, isoprene glycol, 1,2-pentanediol, 2,4-hexylene glycol , 1,2-hexanediol, polyhydric alcohols such as 1,2-octanediol, moisturizing ingredients such as sodium pyrrolidone carboxylate, lactic acid, sodium lactate, guagam, quince seed, carrageenan, galactan, arabic gum, pectin, Mannan, starch, xanthan gum, curdran, methyl cellulose, hydroxyethyl cellulose, carboxymethyl cellulose, methyl hydroxypropyl cellulose, chondroitin sulfate, dermatane sulfate, glycogen, heparan sulfate, hyaluronic acid, sodium hyaluronate, tragant gum, keratane sulfate, chondroitin, mucoitin sulfate, Hi Droxyethyl guagam, carboxymethyl guagam, dextran, keratosulfate, locust bean gum, succinoglucan, caronic acid, chitin, chitosan, carboxymethyl chitin, agar, polyvinyl alcohol, polyvinylpyrrolidone, carboxyvinyl polymer, sodium polyacrylate, B region such as thickeners such as polyethylene glycol and bentonite, lower alcohols such as ethanol and isopropanol, paraaminobenzoic acid-based ultraviolet absorbers, anthranic acid-based ultraviolet absorbers, salicylic acid-based ultraviolet absorbers, and cinnamic acid-based ultraviolet absorbers. UV absorbers, vitamin A or derivatives thereof, vitamin B6 hydrochloride, vitamin B6 tripalmitate, vitamin B6 dioctanoate, vitamin B2 or derivatives thereof, vitamin Bs such as vitamin B12, vitamin B15 or derivatives thereof, α-tocopherol, Vitamin Es such as β-tocopherol, γ-tocopherol and vitamin E acetate, vitamin Ds, vitamin H, pantothenic acid, pantetin, vitamins such as pyroquinolinquinone and the like can be preferably exemplified.

<2> Cosmetic design method The cosmetic design method of the present invention is performed by evaluating the cosmetic by distinguishing the skin condition. The skin condition is differentiated by using the feature amount that can be optically detected from the facial expression image as an index.
Here, as the "feature amount that can be optically detected from the image of the facial expression", an area of a high-luminance region (high-luminance area) having a brightness higher than a predetermined brightness and a streak-shaped area are preferably mentioned.

Hereinafter, a method for distinguishing skin when the area of a high-luminance region (high-luminance area) having a brightness higher than a predetermined brightness and the streak-shaped area are adopted as "features that can be optically detected from an image of a facial expression". , And an embodiment of the cosmetic design method of the present invention will be described in detail after explaining the cosmetic evaluation method using the discrimination method.

<2-1> Skin discrimination method using a high-luminance area The "skin condition" referred to in the present invention particularly refers to a skin condition that affects the appearance. For example, as a skin condition that changes according to the age of the subject, an aging condition can be mentioned. It also includes various skin conditions such as skin moisture content and elasticity. Furthermore, the age of the subject may be estimated using the results of such discrimination of various skin conditions.

Further, the “high-luminance region” is a region having a brightness higher than a predetermined brightness in the face image as described above. The predetermined brightness here may be set to a value that allows the region where the shine is felt in visual evaluation or the like to be extracted, for example, when focusing on the region where the shine due to the specular reflection of the skin is felt in the face image. In addition, a predetermined brightness for extracting a high-luminance region may be determined from various viewpoints such as a region where overexposure occurs in a face image and a region where the skin feels glossy.

FIG. 1 is a flowchart showing a method for distinguishing a skin condition using a high-luminance area. With reference to this, a method for distinguishing a skin condition using a high-luminance area will be described in detail.

First, in step S11, a moving image including a change in the facial expression of the subject's face is acquired. Here, a moving image obtained by capturing a moving image of the face to be evaluated with a general-purpose video camera may be used, but it is preferable that the moving image has a resolution and a frame rate sufficient to withstand the image analysis in a later step. Further, here, it is preferable to acquire a color moving image.

Then, in step S12, a plurality of frame images to be analyzed are acquired from the moving image acquired in step S11. As the frame image here, it is preferable to select a frame image in which each facial expression appears most strongly for a plurality of facial expressions included in the moving image.

In step S13, each frame image is divided into RGB planes, and a B image containing only the B (blue) component is acquired. As a result, each frame image is represented by a predetermined gradation such as 256 gradations from 0 to 255. The number of gradations of 256 gradations is only an example, and a larger number of gradations or a smaller number of gradations may be used. This is a process for facilitating the extraction of the high-luminance region in a later step. Further, here, instead of the B image, a G image containing only the G (green) component may be acquired.

In step S14, a filter is applied to the B image acquired in step S13. This is also a process for facilitating the extraction of the high-luminance region in a later step, similar to the B imaging in step S13. Here, for example, an FFT (Fast Fourier Transform) filter or the like can be used.

Then, in step S15, the analysis target region is extracted from each frame image processed up to step S14. Here, for example, the cheek region is extracted as the analysis target region. Alternatively, this step may be omitted and the entire face may be analyzed.

Then, in step S16, a high-luminance region in the analysis target region is extracted. Here, as a high-luminance region, a region exceeding a predetermined gradation value was extracted. As described above, the predetermined gradation value is an arbitrary gradation value such as a value that can extract a region where the skin feels shiny when the frame image is visually observed. You can use it. Alternatively, a predetermined gradation value may be calculated by analyzing facial images of a plurality of subjects in advance.

After calculating the area of the high-luminance region extracted in step 16 in step S17, the high-luminance area in each frame image is analyzed in step S18. The analysis here includes calculating the average value and standard deviation of the high-luminance areas in all the frame images. It can be said that the average value of the high-luminance area is an index indicating the magnitude of the absolute value of the high-luminance area. Further, the standard deviation of the high-luminance area can be said to be an index showing the variation of the high-luminance area between each frame image, that is, between each facial expression.

Here, the average value and the standard deviation may be calculated by directly using the value of the high luminance area calculated in step S17, but the step is taken with respect to the area of the entire analysis target area extracted in step S15. It is more preferable to perform the calculation using the ratio occupied by the high-luminance area calculated in S17. In this way, by performing the analysis using the ratio of the high-luminance region in the analysis target region, it is possible to perform the analysis in which the influence of the difference in the size of the area of the entire analysis target region for each subject is suppressed.

The skin condition of the subject can be discriminated from the absolute value of the high-luminance area of the subject obtained in this way and the variation between the facial expressions.

The high-intensity area is analyzed for a plurality of subjects in advance, the average value and variation of the high-intensity area between each facial expression are calculated, and the average value and standard deviation among the plurality of subjects are used for discrimination. The skin condition of the subject may be differentiated by comparing the average value and the variation of the high-intensity area between the facial expressions of the subject. In particular, if the aging state of the skin is to be differentiated, the average value and standard deviation of the average value and variation of the high-intensity area between each facial expression for each generation should be calculated in advance, and those values and the subject should be calculated. By comparing the measured values of, it is possible to distinguish the aging state of the skin of the subject.

The moving image in step S11 may be acquired by using a general-purpose video camera as described above. Each process from step S12 to step S18 may be performed by using a single software or a plurality of arbitrary software running on the computer device. As these software, for example, general-purpose image processing software, spreadsheet software, or the like may be used, or dedicated software for analyzing the skin condition according to the present invention may be used.

<2-2> Skin condition discrimination method using streak shape area The area of the streak shape area around the pores (streak shape area) is extracted as an optically detectable feature from the subject's face image and analyzed. It is also possible to distinguish the skin condition of the subject by performing the above.

Here, the streak-shaped region in the present invention is a streak-shaped region in which the shape of the peripheral region including pores is changed due to expansion and contraction of the skin accompanying a change in facial expression, and a groove-like or linear structure is generated. It means.

FIG. 2 is a flowchart showing a method of distinguishing a skin condition using a streak-shaped area. With reference to this, a method for distinguishing the skin condition using the streak shape area will be described in detail.

The acquisition of the moving image in step S21 and the acquisition of the frame image from the moving image in step S22 are the same as in steps S11 and S12 when the high-luminance area is used as the feature amount, which was described above with reference to FIG. You can do it according to the procedure.

In step S23 as well, as in step S13 described above with reference to FIG. 1, a B image containing only the B (blue) component may be acquired, but this embodiment uses a streak-shaped region as a feature amount. In terms of form, it is more preferable to acquire a G image containing only the G (green) component.

In the following step S24, the analysis target area is extracted from each frame image acquired in step S23. Here, for example, the cheek region is extracted as the analysis target region. Alternatively, this step may be omitted and the entire face may be analyzed.

Then, in step S25, a filter is applied to facilitate extraction of the streak-shaped region in a later step. Here, for example, filtering processing such as smoothing and edge extraction is performed.

Then, in step S26, the streak-shaped region is roughly extracted using the gradation. Here, a region in which the gradation value is included in a predetermined range is extracted as a streak-shaped region. As the predetermined range of the gradation value here, an arbitrary range for each subject is adopted so that a streak-shaped area can be obtained when a region in which the gradation value is included is extracted from the frame image. Just do it. Alternatively, the facial images of a plurality of subjects may be analyzed in advance to calculate a predetermined range of gradation values.

Further, in step S27, a linear region is extracted from the streak-shaped region roughly extracted in step S26. This is a process of removing point-like noise or the like from the streak-shaped region extracted in step S26 by, for example, filtering by roundness.

After calculating the area of the streak shape region extracted in step S27 in step S28, the streak shape area in each frame image is analyzed in step S29. As the analysis here, the average value of the streak shape area in all the frame images and the standard deviation can be calculated. It can be said that the average value of the streak shape area is an index showing the absolute value of the streak shape area of the subject. Further, the standard deviation of the streak shape area can be said to be an index showing the variation of the streak shape area between each frame image, that is, between each facial expression.

Here, the average value and the standard deviation may be calculated by directly using the value of the streak shape area calculated in step S28, but the step is taken with respect to the area of the entire analysis target area extracted in step S24. It is more preferable to perform the calculation using the ratio occupied by the streak shape area calculated in S28. In this way, by performing the analysis using the ratio of the streak-shaped region in the analysis target region, it is possible to perform the analysis in which the influence of the difference in the size of the area of the entire analysis target region for each subject is suppressed.

From the absolute value and variation of the streak shape area of the subject obtained in this way, the skin condition of the subject can be discriminated.

The streak shape area is analyzed for a plurality of subjects in advance, the average value and variation of the streak shape area between each facial expression are calculated, and the average value and standard deviation among the plurality of subjects are used for discrimination. The skin condition of the subject may be differentiated by comparing the average value and the variation of the streak shape area between the facial expressions of the subject. In particular, if the aging state of the skin is to be differentiated, the average value and standard deviation of the average value and variation of the streak shape area between each facial expression for each generation should be calculated in advance, and those values and the subject should be calculated. By comparing the measured values of, it is possible to distinguish the aging state of the skin of the subject.

The moving image in step S21 may be acquired by using a general-purpose video camera as described above. Each process from step S22 to step S29 may be performed by using a single software or a plurality of arbitrary software operating on the computer device. As these software, for example, general-purpose image processing software, spreadsheet software, or the like may be used, or dedicated software for analyzing the skin condition according to the present invention may be used.

<2-3> Cosmetic evaluation method The present invention presents a cosmetic evaluation method and a cosmetic design method based on the skin condition discrimination result based on "features optically detectable from facial facial images". Is.

FIG. 3 is a flowchart showing a method for evaluating a cosmetic according to the present invention. With reference to this, the method for evaluating the cosmetics of the present invention will be described in detail.

First, in step S31, the feature amount after makeup is analyzed. Here, if the high-luminance area of the face is used as the feature amount, the high-luminance area of the face image after makeup is analyzed according to the procedure shown in the flowchart of FIG. That is, in step S11, a moving image after makeup is acquired and analyzed.

Similarly, when the streak shape area is used as the feature amount, the streak shape area is analyzed according to the procedure shown in the flowchart of FIG. 2 by acquiring a moving image after makeup in step S21.

As the feature amount, either one of the high-luminance area and the streak-shaped area may be used, or both may be used. Further, different feature quantities may be used together.

After the feature amount after makeup is analyzed in step S31, the feature amount before and after makeup is compared in step S32. Here, as the feature amount before makeup to be compared, the value acquired in advance may be used for the same person as the target to acquire the feature amount after makeup in step S31. The term "before makeup" as used herein refers to a state in which the cosmetic to be evaluated is not used. That is, it includes the state of bare skin without using cosmetics and the state of using cosmetics other than the cosmetics to be evaluated.

Here, if a change appears in the feature amount before and after makeup, it can be said that it is due to the makeup effect. For example, assuming a feature amount such that the absolute value of the feature amount and the smaller the variation between each facial expression, the better the skin condition, the skin condition, and the cosmetics for improving the feature amount, in step S32, as compared with before makeup. The absolute value of the feature amount after makeup and the degree to which the variation between each facial expression is reduced can be used as the evaluation value of the makeup effect.

In this way, the magnitude of the makeup effect can be determined by comparing the feature amounts before and after makeup, and the cosmetic can be evaluated.

<2-4> Cosmetic design method FIG. 4 is a diagram showing a cosmetic design method using the above-mentioned evaluation method. First, in step S41, the cosmetic is evaluated using the shiny area and / or the streak shape area according to the procedure shown in the flowchart of FIG. The cosmetics to be evaluated here may be arbitrary, such as existing cosmetics whose ingredients are clearly formulated.

Since there is a correlation between the optically detectable feature amount of the facial expression and the skin condition, the functional powder can improve the appearance of the skin condition by affecting the feature amount.
Therefore, it is necessary to design a cosmetic with a prescription that can more effectively bring out the effect of improving the skin condition of the functional powder by adopting the embodiment in which the cosmetic containing the functional powder is evaluated. Can be done.
In the case of such an embodiment, the type and content of the functional powder may be fixed, and then the cosmetics may be evaluated while variously changing the combination of the powder and the film-forming agent. preferable.

When the cosmetic evaluated in step S41 does not contain the powder and the film-forming agent (step S44), the process proceeds to step S43.
If the cosmetic evaluated in step S41 contains a powder and a film-forming agent, the process proceeds to step S42, and if the design is not completed here, the process proceeds to step S43.

In step S43, the prescription of the cosmetic ingredient to be evaluated in step S41 is selected. At this time, one or more kinds of powders and one or more kinds of film forming agents are always selected as ingredients of cosmetics.

The powder can be selected from a group of powders that can be used in cosmetics. The powder to be selected may be a hydrophobic powder or a hydrophilic powder.
Particularly preferably, in step S43, one or more kinds of powders are selected from a group of rough surface powders.
As the powder to be selected in step S43, the description regarding the powder described in the above item <1> Composition for film formation can be applied as it is.

In step S43, one or more powders are selected from a group of powders having an average surface friction coefficient of 0.6 or more, more preferably 0.7 or more, still more preferably 0.8 or more. It is particularly preferable to have the form of.

The film-forming agent can be selected from a group of film-forming agents that can be used in cosmetics. The film-forming agent to be selected may be a water-soluble film-forming agent or a hydrophobic film-forming agent.
As the film forming agent to be selected in step S43, the description regarding the film forming agent described in the above item <1> Coating composition can be applied as it is.

When a hydrophobic powder is selected as the powder in step S43, it is preferable to select a water-soluble film-forming agent as the film-forming agent.
Further, in step S43, when selecting a hydrophilic powder as the powder, it is preferable to select a hydrophobic film forming agent as the film forming agent.
By adopting such a selection method in step S43, it is possible to design a cosmetic having elasticity that can respond to the movement of the skin.

In step S43, the powder and other additional components of the film-forming agent may be selected. The additional ingredient to be selected is not particularly limited as long as it is an ingredient usually used in cosmetics.

Preferably, in step S43, a powder having an average surface friction coefficient of 0.6 or more, more preferably 0.7 or more, still more preferably 0.8 or more is selected as the powder, and one or more. It is an embodiment which selects the additional component of.
Selecting the above powder as the powder is synonymous with selecting the above-mentioned film-forming composition of the present invention as a component of the cosmetic.
Since the cosmetic containing the film-forming composition of the present invention has elasticity that can correspond to the movement of the skin, according to the design method of the above-described embodiment, the effect of the additional component is not easily lost due to the movement of the skin. You can design the fee.

In this case, in step S43, it is preferable to use an embodiment in which one type or two or more types are selected from a group of functional powders as additional components.
In particular, it is preferable to use an embodiment in which one type or two or more types of light-scattering powder is selected as the functional powder.

As for the functional powder to be selected in step S43, the description regarding the functional powder described in the above item <1> Composition for film formation can be applied as it is.

After that, the process returns to step S41 again, and the cosmetics for which the prescription is selected in step S43 are evaluated again. Here, in addition to the comparison of the feature amounts before and after the makeup shown in step S32 in FIG. 3, or instead, the feature amount when the cosmetics before and after the change of the prescription are used may be compared. good.

As described above, it is selected to complete the cosmetic design in step S42, such as when the evaluation of the cosmetic and the selection of the formulation of the ingredients are repeated and the prescription of the cosmetic that gives a sufficient cosmetic effect is obtained. Once done, the cosmetic design is complete.

In this way, it is possible to design a cosmetic for improving the skin condition by using the skin condition discrimination method and the cosmetic evaluation method using the skin condition.

In the present embodiment, a method of actually applying a cosmetic to the skin of a subject and evaluating and designing the cosmetic by analyzing the feature amount is shown, but a skin substitute is used as a sample. The same cosmetics may be evaluated and designed. As a substitute for skin, it is preferable to use one that imitates human skin in terms of texture, elasticity, surface shape such as pores, and the like. For example, commercially available artificial skin, balloons, fruits, synthetic leather, etc. are used as skin substitutes, and by applying an external force to the skin, shape changes such as compression and elongation are caused, and the skin changes as the facial expression of a person changes. A method such as pseudo-reproducing a state similar to a shape change and analyzing a feature amount can be used.

Alternatively, a sample that imitates a change in the surface shape of the skin such as pores when a person's facial expression changes may be prepared and used as a substitute for the skin. By using such a sample, it is possible to evaluate from various aspects what kind of cosmetic effect is produced when various facial expressions are taken.

Hereinafter, the present invention will be described in more detail by giving examples of analysis of the shiny area, analysis of the streak shape area, and changes in the shiny area and the streak shape area due to the use of cosmetics. Needless to say, it is not limited to this embodiment.
<1> Analysis of shiny area (extraction of shiny area in each age group)
Here, for each of the 20s, 30s, 40s, 50s, and 60s, 14 women each, for a total of 70 women, were used as subjects, and as shown in the flowchart of FIG. 1, extraction and analysis of high-brightness areas were performed. went. In this example, the analysis was performed using a shiny region where the skin feels shiny as a high-luminance region. In addition, we performed an analysis focusing on the aging state, which changes with the age of the subject, as the skin condition.

In the moving image acquisition step of step S11, a moving image including a change in the facial expression of the subject as shown in FIG. 5 was taken. Each subject changed from the expressionless state shown in FIG. 5 (a) to the "vertically extended facial expression, the vertically contracted facial expression shown in FIG. 5 (c), and FIG. 5 (d). ), The laterally extended facial expression, the laterally contracted facial expression shown in FIG. 5 (e), the bulging facial expression shown in FIG. 5 (f), and the deflated facial expression shown in FIG. 5 (g). A total of 7 types of facial expressions were taken in sequence, and the changes in the facial expressions were photographed as color moving images.

It should be noted that FIGS. 5 (a) to 5 (g) show each facial expression when the subject's face is photographed from the front, but here, as shown in FIG. 6 (a), the subject's face is directed from the front. A moving image was taken with the subject's left cheek positioned in the center of the moving image, shifted 45 degrees to the right. Further, as shown in FIG. 6 (b), the subject's face is shifted 32 degrees to the right and 32 degrees upward from the front, and a moving image taken from the upper right is shown in FIG. 6 (c). Using a moving image of the subject's facial expression changed from another angle, such as a moving image of the subject's face shifted 32 degrees to the right and 32 degrees downward from the front and taken from the lower right. May be good.

Then, in the frame image acquisition step of step S12, the moving image is decomposed into each frame image, and the seven images in which each facial expression as shown in FIGS. 5 (a) to 5 (g) is most strongly expressed. The frame image was extracted.

In the B image acquisition step of step S13, each frame image acquired in step S12 was divided into RGB planes, the B image was acquired as an analysis target, and the filter application process of step S14 was performed. In the filter application process in step S14, an FFT filter or the like was applied to each frame image as the B image in order to facilitate extraction of the shiny region in a later step.

Then, as shown in FIGS. 7 (a) to 7 (g), the cheek region of the subject was extracted as the analysis target region by the analysis target region in step S15.

Then, in step S16, a region having a gradation value exceeding a predetermined threshold value was extracted as a shiny region from the B image of the analysis target region, and the area was calculated. The region shown in black in FIGS. 8 (a) to 8 (g) is a region extracted as a shiny region by each B image of FIGS. 7 (a) to 7 (g). The threshold value here was set separately for each subject so that the area where the shine could be visually felt was extracted.

As a result of calculating the ratio of the shiny region to the entire analysis target region, the results shown in FIGS. 9 to 13 were obtained for each generation from teens to 60s. In step S18, these shiny areas were analyzed.

(Analysis of the absolute value of the shiny area)
First, for the data of each subject, the average value of the ratio of the shiny area of all facial expressions as shown in FIGS. 8 (a) to 8 (g) was calculated. Then, using the average value of the ratio of the shiny area between each facial expression for each subject, the average value for each age group was further calculated. In addition, the standard deviation for each age group was calculated from the average value of the ratio of the shiny area between each facial expression for each subject.

FIG. 14 shows the average value and standard deviation of the average value of the ratio of the shiny area between the facial expressions calculated as described above for each age group. Looking at this, it can be seen that the average value of the shiny area increases as the age goes up. In addition, focusing on the standard deviation, it can be seen that as the age increases, the variation in the average value of the ratio of the shiny area between each facial expression increases among the subjects.

From this result, it was found that the stronger the aging state of the skin, the larger the absolute value of the shiny area.

(Analysis of variation in shiny area)
Subsequently, the variation in the ratio of the shiny area between each facial expression was analyzed. First, the standard deviation of the ratio of the shiny area for each facial expression as shown in FIGS. 8 (a) to 8 (g) was calculated for each subject's data. This is a value indicating the variation in the ratio of the shiny area between each facial expression for each subject.

Then, the average value of the standard deviation of the ratio of the shiny area between each facial expression for each subject was calculated for each age group. This is a value indicating the variation in the ratio of the shiny area between each facial expression in each age group. In addition, the standard deviation of the ratio of the shiny area between each facial expression for each subject was calculated for each age group. This is a value indicating the variation among the subjects in the variation in the ratio of the shiny area between the facial expressions in each age group.

FIG. 15 shows the average value of the standard deviation of the ratio of the shiny area between the facial expressions calculated as described above for each age group and the standard deviation thereof. Looking at this, it can be seen that the variation in the ratio of the shiny area between each facial expression increases as the age increases. Focusing on the standard deviation among the subjects, it can be seen that the variation in the ratio of the shiny area between the facial expressions increases among the subjects as the age increases.

From this result, it was found that the stronger the aging state of the skin, the greater the variation in the shiny area between each facial expression, that is, the greater the amount of change in the shiny area due to the change in facial expression.

<2> Analysis of streak shape area (extraction of streak shape area in each age group)
Similar to the analysis of the shiny area, 14 women in their 20s, 30s, 40s, 50s, and 60s, for a total of 70 women, as subjects, as shown in the flowchart of FIG. 2, the streak shape area. Was extracted and analyzed.

For the acquisition of the moving image in step S21 and the acquisition of the frame image in step S22, the same moving image and frame image as those acquired in the analysis of the shiny area were used. In the following step S23, the G image was extracted from the frame image.

Then, in the extraction process of the analysis target region in step S24, the cheek region is extracted as the analysis target region from the G image of each frame, and in step S25, in order to facilitate the extraction of the streak shape region in a later step. , Filters such as smoothing and edge extraction were applied to each G image.

In step S26, a region having a gradation value within a predetermined range was roughly extracted as a streak-shaped region from the G image of the analysis target region extracted in step S25. Further, in step S27, filtering by roundness was performed, a line shape was extracted, and the result was used as a streak shape region. As the predetermined range of the gradation value here, an arbitrary range for each subject is adopted so that a streak-shaped area can be obtained when a region in which the gradation value is included is extracted from the frame image. ..

As a result of calculating the ratio of the streak-shaped region to the entire analysis target region, the results shown in FIGS. 16 to 20 were obtained for each generation from the teens to the 60s. In step S29, analysis was performed on these streak shape areas.

(Analysis of the absolute value of the streak shape area)
First, for each subject's data, the average value of the ratio of the streak-shaped area of all facial expressions was calculated. Then, using the average value of the ratio of the streak shape area between each facial expression for each subject, the average value for each age group was further calculated. In addition, the standard deviation for each age group was calculated from the average value of the ratio of the streak shape area between each facial expression for each subject.

FIG. 21 shows the average value and standard deviation of the ratio of the streak shape area between the facial expressions for each age group calculated as described above. Looking at this, it can be seen that the average value of the ratio of the streak-shaped area increases as the age increases. In addition, focusing on the standard deviation, it can be seen that as the age increases, the variation in the average value of the ratio of the streak-shaped area between the facial expressions increases among the subjects.

From this result, it was found that the stronger the aging state of the skin, the larger the absolute value of the streak shape area.

(Analysis of variation in streak shape area)
Subsequently, the variation in the ratio of the streak shape area between each facial expression was analyzed. First, the standard deviation of the ratio of the streak shape area for each facial expression was calculated for each subject's data. This is a value indicating the variation in the ratio of the streak shape area between each facial expression for each subject.

Then, the average value of the standard deviation of the ratio of the streak shape area between each facial expression for each subject was calculated for each age group. This is a value indicating the variation in the ratio of the streak shape area between each facial expression in each age group. In addition, the standard deviation of the ratio of the streak shape area between each facial expression for each subject was calculated for each age group. This is a value indicating the variation in the ratio of the streak shape area between the facial expressions in each age group, and the variation among the subjects.

FIG. 22 shows the average value of the standard deviations of the ratio of the streak shape area between the facial expressions calculated as described above and the standard deviations thereof. Looking at this, it can be seen that the variation in the ratio of the streak-shaped area between each facial expression increases as the age increases. In addition, focusing on the standard deviation between each subject, it can be seen that the variation in the change in the streak shape area between each facial expression increases with increasing age.

From this result, it was found that the stronger the aging state of the skin, the greater the variation in the streak shape area between each facial expression, that is, the greater the amount of change in the streak shape area due to the change in facial expression.

<3> Feature analysis using artificial skin The changes in the shiny area and the streak shape area when the artificial skin was deformed by applying an external force were measured. As the artificial skin, a cheek skin model (2 types, 2 each, 4 in total) manufactured by Beaulux Co., Ltd. was used, which imitated the surface shape of the pores of the human cheek. Then, each artificial skin was fixed to an electric measuring stand to which a force gauge was attached by a vise, and the electric measuring stand was operated to perform deformation assuming the movement of the facial skin when the facial expression changed.

FIG. 25A shows a state when the artificial skin is attached to the electric measuring stand. At this time, it was fixed so that the distance between the fixing vise at the lower part of the artificial skin and the force gauge at the upper part of the artificial skin was 4 cm. This was taken as a normal state in which the artificial skin was not deformed by an external force. That is, this corresponds to the expressionless state as shown in FIG. 5A in the example in which the facial expression change of the subject is analyzed.

Next, the force gauge was raised by 1.7 cm, the artificial skin was stretched as shown in FIG. 25 (b), and the photograph was taken in the stretched state. This corresponds to a state in which the skin of the analysis target region is stretched, as represented by FIG. 5B when analyzing the facial expression change of the subject.

After returning the artificial skin to the normal state as shown in FIG. 25 (a), the force gauge is further lowered by 1.7 cm while pushing out the artificial skin from the rear, and as shown in FIG. 25 (c), the center of the artificial skin. The part was pushed out toward you, and this was taken as a bulging state. This corresponds to a state in which the analysis target area is expanded as represented by FIG. 5 (f) when analyzing the facial expression change of the subject.

After returning the artificial skin to the normal state as shown in FIG. 25 (a), the force gauge is further lowered by 1.7 cm while pushing the artificial skin from the front, and as shown in FIG. 25 (d), the artificial skin is further lowered. The central part of the skin was pushed into the back, and this was taken as a withered state. This corresponds to a state in which the analysis target region is withered, as represented by FIG. 5 (f), when analyzing the facial expression change of the subject.

As described above, four color images were taken assuming an expressionless state (FIG. 25 (a)) and a state in which the skin of the face was deformed due to a change in facial expression (FIGS. 25 (b) to (c)). After that, each division was performed into an RGB plane. 26 (a) to 26 (d) show B images of the analysis target region acquired from each of the images of FIGS. 25 (a) to 25 (d).

Then, from the B images shown in FIGS. 26 (a) to 26 (d), a region having a gradation value exceeding a predetermined threshold value was extracted as a shiny region, and the area was calculated. The regions shown in black in FIGS. 27 (a) to 27 (d) are regions extracted as shiny regions from the B images of FIGS. 26 (a) to 26 (d).

Further, from the G image obtained by dividing the images shown in FIGS. 25 (b) to 25 (c) into RGB planes, a region having a gradation value within a predetermined range is roughly extracted as a streak-shaped region, and then the roundness is obtained. Filtering and line shape extraction were performed, and the results were extracted as streak-shaped regions. The regions shown in black in FIGS. 28 (a) to 28 (d) are regions extracted as streak-shaped regions from the respective G images acquired from FIGS. 25 (b) to 25 (c). Then, for each, the ratio of the area occupied by the streak-shaped region in the analysis target region was calculated.

29 shows the area of the shiny region in each image as shown in FIGS. 27 (a) to 27 (d), and FIG. 30 shows the area of each image as shown in FIGS. 28 (a) to 28 (d). The ratio of the area occupied by the region extracted as the streak-shaped region is shown. The four data series in FIGS. 29 and 30 correspond to the four artificial skins used as samples, respectively.

With reference to FIGS. 29 and 30, the area of the shiny region and the streak shape are accompanied by the deformation of the artificial skin as shown in FIGS. It can be seen that both the area of the area fluctuate.

From the above, it is considered that by deforming a skin substitute such as artificial skin, it is possible to create a pseudo state similar to the change in facial skin when the facial expression changes. That is, by applying the cosmetic to a skin substitute such as artificial skin and analyzing the feature amount, the cosmetic is evaluated and designed in the same manner as when the cosmetic is applied to the subject's face. It is expected that it can be done.

Here, an example is shown in which the images of the artificial skin shown in FIGS. 25 (a) to 25 (d) are analyzed for the shiny area and the streak shape area, but a moving image including a change in the facial expression of the subject is taken. As in the case, a method may be used in which a moving image including the process of deformation of the artificial skin is taken and a frame image to be analyzed is extracted from the moving image.

<4> Evaluation of film-forming composition (1)
Rough surface powders having various average surface friction coefficients (MIU) were used to prepare cosmetics with the formulations shown in Table 1.

Buhlux skin model No. 10A hardness Lv. Apply 0.2 g of cosmetics evenly to 5 and dry for 15 minutes, then expand and contract 5 times vertically and horizontally, and have 10 professional panelists visually evaluate and evaluate the uniformity of the coating film according to the following criteria. went. The results are shown in Table 1.
◎ ・ ・ ・ Evaluation that 8 or more out of 10 people are uniform ○ ・ ・ ・ Evaluation that 6 to 7 out of 10 people are uniform △ ・ ・ ・ Evaluation that 4 to 5 out of 10 people are uniform × ・ ・ ・ Evaluation that 3 or less out of 10 people are uniform

In addition, 0.2 g of cosmetics were evenly applied to the same skin model as above, dried for 15 minutes, and then expanded and contracted 5 times vertically and horizontally, and then visually evaluated by 10 specialized panelists to make the pores less noticeable. Evaluation was performed according to the following criteria. The results are shown in Table 1.
◎ ・ ・ ・ Evaluation that 8 or more out of 10 people are inconspicuous ○ ・ ・ ・ Evaluation that 6 to 7 out of 10 people are inconspicuous △ ・ ・ ・ Evaluation that 4 to 5 out of 10 people are inconspicuous × ・ ・・ Evaluation that 3 or less out of 10 people are inconspicuous

As shown in Table 1, the cosmetics of the comparative example containing the powder having MIU of 0.28 and 0.50 and the film forming agent were inferior in the uniformity of the coating film after the contraction exercise.
On the other hand, the cosmetics of the examples containing the powder having MIU of 0.65 and 0.84 and the film forming agent were excellent in the uniformity of the coating film after the contraction exercise.
The above results show that the composition containing a powder having a MIU of 0.6 or more and a film-forming agent has elasticity that can correspond to the movement of the skin, and has the effect of maintaining a uniform film on the skin. It shows that it is excellent.

Further, as a result of comparison between Example 1 and Example 4, and comparison between Example 3 and Example 5, a powder having a MIU of preferably 0.7 or more, more preferably 0.8 or more is used. Shows that is preferable.

Further, comparing the results of Examples 1 and 2 and Example 3, it is possible to suppress the conspicuousness of pores after the contraction movement by adding the light scattering powder in addition to the powder and the film forming agent. Recognize.
This result shows that it is possible to improve the apparent skin condition appearing on the facial expression after applying the composition containing a powder having a MIU of 0.6 or more, a film-forming agent and a light-scattering powder. ing.

Further, the results of Examples 1, 6 and 7 show that the content of the powder having a MIU of 0.6 or more is preferably in the range of 0.01 to 10% by mass.

The results of Examples 1, 8 and 9 show that the content of the film forming agent is preferably 0.01 to 5% by mass.

<5> Evaluation of film-forming composition (2)
For each of the 10 subjects, the condition of the bare skin, the condition using the cosmetic of Comparative Example 3 (the one not containing the combination of the powder of MIU 0.6 or more and the film forming agent), and the cosmetic of Example 1 were used. In the used state, the shiny area was analyzed by the method shown in the flowchart of FIG. 1, and the streak shape area shown in the flowchart of FIG. 2 was analyzed.

FIG. 31 is a diagram showing an example of how the facial expression of the subject changes in the bare skin state. Similar to the one shown in FIG. 5, this is obtained by photographing the state of the facial expression change of the subject as a moving image and acquiring a frame image in which each facial expression is most strongly expressed from the moving image. Similarly, FIG. 32 is a photograph of a state in which the cosmetic of Comparative Example 3 is used, and FIG. 33 is a photograph of a state of facial expression change of a subject in a state of using the cosmetic of Example 1. These frame images were decomposed into RGB planes, and a B image was used for the analysis of the shiny region and a G image was used for the analysis of the streak-shaped region. In both the analysis of the shiny region and the analysis of the streak shape region, the cheek of the subject was used as the analysis target region.

FIG. 34 shows the analysis result of the shiny region in the state of bare skin. The area painted in black in the figure is the area extracted as the shiny area. Similarly, FIG. 35 shows the analysis result of the shiny region in the state of using the cosmetic of Comparative Example 3, and FIG. 36 shows the analysis result of the shiny region in the state of using the cosmetic of Example 1. Comparing FIGS. 34 to 36, it can be seen that even in the same subject, there is a difference in the mode of the shiny region in each state of bare skin, use of cosmetics in Comparative Example 3, and use of cosmetics in Example 1.

FIG. 37 is a diagram showing the measurement results for the shiny area. FIG. 37A shows the results of calculating the shining area in each state and each facial expression as shown in FIGS. 35 to 37 for each subject and calculating the average value of 10 subjects.

Looking at this, as a whole, when the cosmetic of Comparative Example 3 was used, the value of the shiny area was larger than that of the bare skin, while when the cosmetic of Example 1 was used, the state of the bare skin. It can be seen that the value of the shiny area tends to be smaller than that.

FIG. 37B shows the average value of the standard deviation of the shiny area between each facial expression in 10 subjects for each state of bare skin, use of cosmetics of Comparative Example 3, and use of cosmetics of Example 1. It is a thing. This indicates the degree of change in the shiny area when the facial expression changes in each of the bare skin, the use of the cosmetic of Comparative Example 3, and the use of the cosmetic of Example 1.

Looking at this, when the cosmetic of Comparative Example 3 was used, the fluctuation of the shiny area at the time of facial expression change was larger than that of the state of bare skin, while when the cosmetic of Example 1 was used, the bare skin was used. It can be seen that the fluctuation of the shiny area when the facial expression changes is smaller than that in the state of.

Subsequently, FIG. 38 shows the analysis result of the streak-shaped region in the state of bare skin. The area painted in black in the figure is the area extracted as the streak-shaped area. Similarly, FIG. 39 shows the analysis result of the streak shape region in the state of using the cosmetic of Comparative Example 3, and FIG. 40 shows the analysis result of the streak shape region in the state of using the cosmetic of Example 1. Comparing FIGS. 38 to 40, it can be seen that there is a difference in the mode of the streak-shaped region in each state even though the subject is the same subject.

FIG. 41 is a diagram showing the measurement results for the streak shape area. FIG. 41 (a) calculates the ratio of the area occupied by the streak-shaped region in the analysis target region in each state and each facial expression as shown in FIGS. 38 to 40 for each subject, and is an average value of 10 subjects. It shows the result of calculating.

Looking at this, as a whole, when the cosmetic of Comparative Example 3 was used, the proportion of the streak-shaped region was larger than that of the bare skin, while when the cosmetic of Example 1 was used, the proportion of the bare skin was large. It can be seen that the proportion of the streak-shaped region tends to be smaller than that of the state.

FIG. 41 (b) shows the average of the standard deviation of the ratio of the streak-shaped region between each facial expression in 10 subjects for each state of bare skin, the use of the cosmetic of Comparative Example 3, and the use of the cosmetic of Example 1. It shows the value. This indicates the degree of change in the streak shape area when the facial expression changes in each of the bare skin, the use of the cosmetic of Comparative Example 3, and the use of the cosmetic of Example 1.

Looking at this, when the cosmetic of Comparative Example 3 was used, the fluctuation of the streak shape area at the time of facial expression change was larger than that of the state of bare skin, while when the cosmetic of Example 1 was used, the fluctuation was larger. It can be seen that the variation in the streak shape area when the facial expression changes is smaller than that in the state of bare skin.

As described above, when the measurement results in the three states of bare skin, the use of the cosmetics of Comparative Example 3 and the use of the cosmetics of Example 1, are compared, both the analysis of the shiny area and the streak shape area of Comparative Example 3 Regarding the state using the cosmetics, the absolute values and variations of the shiny area and the streak shape area are larger than those of the bare skin, while the state using the cosmetics of Example 1 is the state of the bare skin and the state of the bare skin. It can be seen that the absolute values and variations of the shiny area and the streak shape area are smaller than those in the state where the cosmetic of Comparative Example 3 is used.

This is because, when the aging state of the skin is strongly expressed as shown in the test examples <1> and <2> above, the absolute values and variations of the shiny area and the streak shape area at the time of changing the facial expression become large. In light of the analysis result that there is, when the cosmetic of Comparative Example 3 is used, the aging state of the skin is expressed more strongly than the state of bare skin, while the cosmetic of Example 1 is used. In this case, it can be said that the appearance of the aging state of the skin can be suppressed rather than the state of the bare skin.

These results indicate that the film-forming composition of the present invention is excellent in terms of suppressing the appearance of the aging state of the skin.

In this way, the shiny area and streak shape area are measured for each of the state in which the cosmetic to be evaluated is used, the state of the bare skin, and the state in which other cosmetics to be compared are used, and the results are obtained. By making a comparison, the cosmetics can be evaluated. Further, based on such evaluation results, it is considered that the cosmetics can be designed by changing the prescription of the cosmetics to be evaluated and repeating the measurement so that more suitable results can be obtained. ..

The difference between the cosmetics of Example 1 and Comparative Example 1 is the presence or absence of a combination of a powder having a MIU of 0.6 or more and a film-forming agent. That is, based on the evaluation result, the powder and the film-forming agent to be blended in the cosmetic to be evaluated are changed in the type so that a more suitable result can be obtained, and the measurement is repeated to have a better function. It is thought that cosmetics can be designed.

The film-forming composition of the present invention can be applied to cosmetics. Further, the cosmetic design method of the present invention can be used for designing cosmetics in research and development.

Claims (6)

Hydrophobic rough spherical powder is the average surface friction coefficient (MIU) is 0.8 or more, a water soluble film forming agent seen including,
The hydrophobic rough surface spherical powder is a copolymer powder containing a poly (meth) acrylic acid ester and a poly (meth) acrylate alkylene glycol.
A film-forming composition, wherein the content ratio of the hydrophobic rough surface spherical powder to the water-soluble film-forming agent is 50: 1 to 1: 5. The film-forming composition according to claim 1, wherein the water-soluble film-forming agent is an acrylic polymer. The composition for forming a film according to claim 2 , wherein the acrylic polymer is a polymer of alkyl acrylate and / or alkyl methacrylate. The film-forming composition according to any one of claims 1 to 3 , which comprises a functional powder. The film-forming composition according to claim 4 , wherein the functional powder is a light-scattering powder. A cosmetic containing the film-forming composition according to any one of claims 1 to 5.

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