Skin state estimation device, product recommendation system, skin state estimation method, product recommendation method, and program

Abstract

This skin condition estimation device is provided with: a measurement unit that measures reflected light in a wavelength range including a specific wavelength reflected by the skin; and a skin state estimation unit that estimates, as a skin state, at least one of skin elasticity and skin density of the skin on the basis of the intensity of the specific wavelength included in the reflected light measured by the measurement unit.

Description

TECHNICAL FIELD

[0001] The present application relates to a skin state estimation device, a product recommendation system, a skin state estimation method, a product recommendation method, and a program. BACKGROUND

[0002] As an example of an index for evaluating the skin state, the elasticity of the skin (skin elasticity) can be given. The elasticity of the skin is evaluated by, for example, a cutometer (for example, Patent Literature 1, Patent Literature 2, etc.).

[0003] <Related Art Documents> <Patent Literature> Patent Literature 1: Japanese Patent Application Publication No. 2022-103507 Patent Literature 2: Japanese Patent No. 7276913 SUMMARY <Problems to be Solved by the Invention> For example, in the case of performing skin diagnosis at a store, a device that is easy to operate and can simply estimate the skin state such as skin elasticity is required.

[0004] The present application provides a skin state estimation device that is easy to handle.

[0005] <Means for Solving the Problems> The present application provides a skin state estimation device including a measurement unit that measures reflected light including a wavelength range of a specific wavelength reflected by a skin, and a skin state estimation unit that estimates at least any one of skin elasticity and skin density of the skin as a skin state, based on an intensity of the specific wavelength included in the reflected light measured by the measurement unit.

[0006] <Effects of the Invention> According to the present application, a skin state estimation device that is easy to handle can be provided. BRIEF DESCRIPTION OF DRAWINGS

[0007] Figure 1 is a diagram showing an outline of a skin state estimation device according to a first embodiment.

[0008] Figure 2 is a diagram showing a hardware structure of a processing unit in a skin state estimation device according to the first embodiment.

[0009] Figure 3 is a diagram showing a functional structure of a skin state estimation device according to the first embodiment.

[0010] Figure 4 is a diagram showing a functional structure and a processing flow of a skin state estimation device according to the first embodiment.

[0011] Figure 5 is a flowchart illustrating the processing in the skin state estimation device according to the first embodiment.

[0012] Figure 6 is a graph illustrating the relationship between the reflection intensity at a specific wavelength and the skin elasticity.

[0013] Figure 7 is a graph illustrating the reflection intensity of light when the skin density is high.

[0014] Figure 8 is a graph illustrating the reflection intensity of light when the skin density is low.

[0015] Figure 9 is a graph illustrating the functional structure and the processing flow of the skin state estimation device according to the second embodiment.

[0016] Figure 10 is a graph illustrating the functional structure and the processing flow of the skin state estimation device according to the third embodiment.

[0017] Figure 11 is a graph illustrating the display of the display section in the skin state estimation device according to the third embodiment.

[0018] Figure 12 is a graph illustrating the display of the display section in the skin state estimation device according to the third embodiment.

[0019] Figure 13 is a graph illustrating the display of the display section in the skin state estimation device according to the third embodiment.

[0020] Figure 14 is a graph illustrating the display of the display section in the skin state estimation device according to the third embodiment.

[0021] Figure 15 is a graph illustrating the functional structure and the processing flow of the skin state estimation device according to the fourth embodiment.

[0022] Figure 16 is a graph illustrating the relationship between the input cosmetic category and the application amount and the correction value in the skin state estimation device according to the fourth embodiment.

[0023] Figure 17 is a graph illustrating the functional structure and the processing flow of the skin state estimation device according to the fifth embodiment.

[0024] Figure 18 is a graph illustrating the processing in the skin state estimation device according to the fifth embodiment.

[0025] Figure 19 is a diagram for explaining the processing in the skin state estimation device according to the 5th embodiment.

[0026] Figure 20 is a diagram for explaining the functional structure and the processing flow of the skin state estimation device according to the 6th embodiment.

[0027] Figure 21 is a diagram for explaining the processing in the skin state estimation device according to the 6th embodiment.

[0028] Figure 22 is a diagram for explaining the processing in the skin state estimation device according to the 6th embodiment.

[0029] Figure 23 is a diagram for explaining the functional structure and the processing flow of the skin state estimation device according to the 7th embodiment.

[0030] Figure 24 is a diagram for explaining the functional structure and the processing flow of the skin state estimation device according to the 8th embodiment.

[0031] Figure 25 is a diagram for explaining the relationship between the part and the recommended cosmetic in the skin state estimation device according to the 8th embodiment.

[0032] Figure 26 is a diagram for explaining the display in the display section of the skin state estimation device according to the 8th embodiment.

[0033] Figure 27 is a diagram for explaining the functional structure and the processing of the skin state estimation device according to the 9th embodiment.

[0034] Figure 28 is a diagram for explaining the 1st example of the measurement of the reflected light in the skin state estimation device according to the present embodiment.

[0035] Figure 29 is a diagram for explaining the 2nd example of the measurement of the reflected light in the skin state estimation device according to the present embodiment.

[0036] Figure 30 is a diagram for explaining the 3rd example of the measurement of the reflected light in the skin state estimation device according to the present embodiment.

[0037] Figure 31 is a diagram for explaining the 4th example of the measurement of the reflected light in the skin state estimation device according to the present embodiment.

[0038] Figure 32is a graph illustrating a pre-measurement in a fourth example regarding measurement of reflected light in the skin state estimation device according to the present embodiment.

[0039] Figure 33 is a graph illustrating a pre-measurement in a fourth example regarding measurement of reflected light in the skin state estimation device according to the present embodiment.

[0040] Figure 34 is a graph illustrating a pre-measurement in a fourth example regarding measurement of reflected light in the skin state estimation device according to the present embodiment. DETAILED DESCRIPTION

[0041] Hereinafter, each embodiment of the present application will be described with reference to the accompanying drawings. In addition, regarding the description and the drawings of each embodiment, there are cases where the constitution elements having substantially the same or corresponding function structure are omitted from repeated description by labeling the same reference numerals.

[0042] Further, in the drawings, the scale of each part is sometimes different from the actual one for easy understanding. In the directions of parallel, right angle, orthogonality, horizontal, vertical, up and down, left and right, and the like, a deviation is allowed to the extent that does not impair the effects of the embodiments. The shape of the corner portion is not limited to a right angle, and can be rounded. Parallel, right angle, orthogonality, horizontal, vertical can also include substantially parallel, substantially right angle, substantially orthogonality, substantially horizontal, substantially vertical.

[0043] First Embodiment A skin state estimation device according to the first embodiment will be described. The skin state estimation device according to the first embodiment is provided with a measurement unit for measuring reflected light containing a wavelength range of a specific wavelength reflected by the skin. Further, the skin state estimation device according to the first embodiment is provided with a skin state estimation unit that estimates at least any one of skin elasticity and skin density of the skin as a skin state, based on an intensity of the specific wavelength contained in the reflected light measured by the measurement unit.

[0044] Regarding the skin state estimation device according to the first embodiment, the description will be given using the drawings. Figure 1 is a graph illustrating an outline of a skin state estimation device 1 as an example of the skin state estimation device according to the first embodiment.

[0045] The skin state estimation device 1 estimates the skin elasticity in the skin SKN for the subject OBJ, for example. Specifically, the skin state estimation device 1 measures the reflected light RL including a wavelength range Rλ of at least a specific wavelength λs reflected by the skin SKN in the subject OBJ. Then, the skin state estimation device 1 estimates the skin elasticity of the skin SKN based on the intensity Qs of the specific wavelength λs included in the measured reflected light RL.

[0046] The skin state estimation device 1 includes the light detector 10, the arithmetic unit 20, the display 30, and the inputter 40. Details of the light detector 10, the arithmetic unit 20, the display 30, and the inputter 40 included in the skin state estimation device 1 are described below.

[0047] [Light detector 10] The light detector 10 measures the reflected light RL including a wavelength range Rλ of a specific wavelength λs to which the illumination light IL is reflected by the skin SKN in the subject OBJ. Then, the light detector 10 outputs the intensity Qs of the specific wavelength λs included in the reflected light RL to the arithmetic unit 20.

[0048] [Arithmetic unit 20] The arithmetic unit 20 estimates the skin elasticity of the skin SKN for the subject OBJ based on the intensity Qs of the specific wavelength λs included in the reflected light RL measured by the light detector 10.

[0049] The hardware structure of the arithmetic unit 20 in the skin state estimation device 1, which is an example of the skin state estimation device according to the first embodiment, is described. Figure 2 is a diagram illustrating the hardware structure of the arithmetic unit 20 in the skin state estimation device 1, which is an example of the skin state estimation device according to the first embodiment.

[0050] The arithmetic unit 20 is, for example, a computer. The arithmetic unit 20 includes a CPU (Central Processing Unit) 21, a RAM (Random Access Memory) 22, and a ROM (Read Only Memory) 23. In addition, the arithmetic unit 20 includes a storage I / F (Interface) 24i, a communication I / F 25i, an external I / F 26i, a display I / F 27i, and an input I / F 28i. The CPU 21, the RAM 22, the ROM 23, the storage I / F 24i, the communication I / F 25i, the external I / F 26i, the display I / F 27i, and the input I / F 28i are connected to a bus B2, respectively. In the storage I / F 24i, for example, a storage medium 24 is connected. In the external I / F 26i, the light detector 10 is connected. In the display I / F 27i, the display 30 is connected. In the input I / F 28i, the inputter 40 is connected.

[0051] The CPU 21 is an arithmetic device that reads out a program (application program) onto the RAM 22 from a storage device such as the ROM 23 or the storage medium 24, and executes processing.

[0052] The RAM 22 is, for example, a volatile semiconductor memory that temporarily holds a program (application program) or the like.

[0053] The ROM 23 is, for example, a non-volatile semiconductor memory that can hold a program (application program) or the like even if power is turned off. In the ROM 23, a program such as BIOS executed at startup, various settings such as OS settings or network settings are stored.

[0054] The storage I / F 24i is an interface with an external storage device such as the storage medium 24. The arithmetic device 20 performs reading and writing of the storage medium 24 using the storage I / F 24i.

[0055] The storage medium 24 is, for example, a HDD (Hard Disk Drive) or an SSD (Solid State Drive).

[0056] The communication I / F 25i is an interface that connects with an external network such as the Internet. The communication I / F 25i is connected with the external network using a wired communication method, for example.

[0057] The external I / F 26i is an interface that connects the arithmetic device 20 with an external device. The external I / F 26i is, for example, a USB (Universal Serial Bus) or a GP-IB (General Purpose Interface Bus), or the like.

[0058] The display I / F 27i is an interface that connects the arithmetic device 20 with an external display device. The display I / F 27i is, for example, a VGA (Video Graphics Array) or a DVI (Digital Visual Interface). Furthermore, the display I / F 27i can be, for example, an HDMI (registered trademark) (High-Definition Multimedia Interface), a DisplayPort, or the like.

[0059] The input I / F 28i is an interface that connects the arithmetic device 20 with an external input device. The input I / F 28i is, for example, a USB (Universal Serial Bus) or the like.

[0060] The arithmetic device 20 performs various processes described later by executing a program (application) in the hardware configuration described above. Details of the processes of the arithmetic device 20 are described later.

[0061] [Display 30] The display 30 displays results and the like calculated in the arithmetic device 20. The display 30 is, for example, a liquid crystal display or an organic electroluminescence display.

[0062] [Inputter 40] The inputter 40 accepts input from a user. Then, the inputter 40 outputs the accepted input from the user to the arithmetic device 20. The inputter 40 is, for example, a keyboard, a mouse, or a touch panel.

[0063] Function Structure of Skin State Estimation Device Related to First Embodiment The function structure of the skin state estimation device related to the first embodiment is described. Figure 3 is a diagram illustrating the function structure of the skin state estimation device 1 as an example of the skin state estimation device related to the first embodiment.

[0064] The skin state estimation device 1 includes a reflected light measurement section 1A, a reflected light intensity calculation section IB, a skin elasticity coefficient calculation section 1C, a skin elasticity evaluation section ID, a display section IE, and a storage section IS. In addition, the reflected light measurement section 1A and the reflected light intensity calculation section IB are sometimes collectively referred to as a measurement section IM. Furthermore, the skin elasticity coefficient calculation section 1C and the skin elasticity evaluation section ID are sometimes referred to as a skin state estimation section IP.

[0065] [Reflected Light Measurement Section 1A] The reflected light measurement section 1A measures the reflected light RL in the skin SKN with respect to the object OBJ. The reflected light measurement section 1A is constituted by the light detector 10 and the arithmetic device 20.

[0066] The arithmetic device 20 controls the light detector 10 to measure the reflected light RL reflected by the skin SKN in the object OBJ. Furthermore, the arithmetic device 20 acquires intensity information with respect to the reflected light RL measured by the light detector 10.

[0067] The process in the reflected light measurement section 1A performed by the arithmetic device 20 is realized by the CPU 21 executing a program.

[0068] [Reflected Light Intensity Calculation Section IB] The reflected light intensity calculation section IB calculates the intensity Qs of the specific wavelength λs with respect to the reflected light RL reflected by the skin SKN of the object OBJ on the basis of the intensity information of the reflected light RL acquired from the reflected light measurement section 1A. The reflected light intensity calculation section IB is constituted by the arithmetic device 20.

[0069] The processing in the reflected light intensity calculating section IB performed by the arithmetic unit 20 is realized by the CPU 21 executing a program.

[0070] [Skin elasticity coefficient calculating section 1C] The skin elasticity coefficient calculating section 1C calculates a skin elasticity coefficient SCR for evaluating the state of the skin SKN in the subject OBJ based on the intensity Qs of the reflected light RL in the skin SKN calculated in the reflected light intensity calculating section IB. The skin elasticity coefficient calculating section 1C is constituted by the arithmetic unit 20.

[0071] The processing in the skin elasticity coefficient calculating section 1C performed by the arithmetic unit 20 is realized by the CPU 21 executing a program.

[0072] [Skin elasticity evaluating section ID] The skin elasticity evaluating section ID estimates the skin elasticity in the skin SKN for the subject OBJ based on the skin elasticity coefficient SCR calculated in the skin elasticity coefficient calculating section 1C. The skin elasticity evaluating section ID is constituted by the arithmetic unit 20.

[0073] The processing in the skin elasticity evaluating section ID performed by the arithmetic unit 20 is realized by the CPU 21 executing a program.

[0074] [Display section IE] The display section IE displays the result evaluated by the skin elasticity evaluating section ID on the display 30. The display section IE is constituted by the arithmetic unit 20 and the display 30.

[0075] The processing in the display section IE performed by the arithmetic unit 20 is realized by the CPU 21 executing a program.

[0076] [Storage section IS] The storage section IS stores information required for processing. The storage section IS is constituted by at least any one of the RAM 22, the ROM 23 or the storage medium 24 in the arithmetic unit 20.

[0077] <Function structure and processing flow of skin state estimating device according to the first embodiment> The processing flow is described with respect to the skin state estimating device according to the first embodiment. Figure 4 is a diagram illustrating the function structure and processing flow of the skin state estimating device 1 as an example of the skin state estimating device according to the first embodiment.

[0078] The measuring section IM calculates the intensity Qs of the specific wavelength λs included in the reflected light RL reflected by the skin SKN. Then, the measuring section IM outputs the calculated intensity Qs to the skin state estimating section IP.

[0079] The skin state estimation section 1P calculates a skin elasticity coefficient SCR for evaluating the state of the skin SKN on the basis of the intensity Qs measured by the measurement section 1M. Then, the skin state estimation section 1P outputs a result RES obtained by evaluating the skin state of the skin SKN on the basis of the skin elasticity coefficient SCR to the display section 1E.

[0080] The display section 1E displays the result on the basis of the result RES evaluated by the skin state estimation section 1P.

[0081] <Processing by the skin state estimation device according to the first embodiment> The processing performed by the skin state estimation device according to the first embodiment will be described using the skin state estimation device 1 as an example of the skin state estimation device according to the first embodiment. By describing the processing performed by the skin state estimation device according to the first embodiment, the procedure included in the skin state estimation method based on the skin state estimation device according to the first embodiment will be described.

[0082] Figure 5 is a flowchart illustrating the processing in the skin state estimation device 1 as an example of the skin state estimation device according to the first embodiment.

[0083] (Step S10) When the processing is started, the reflected light measurement section 1A in the skin state estimation device 1 measures the reflected light RL in the skin SKN with respect to the object OBJ to be measured (reflected light measurement procedure). The operator 20 controls the light detector 10 so that the reflected light RL in the skin SKN is measured with respect to the object OBJ to be measured. Then, the operator 20 acquires the measurement data Dm associated with the intensity Qs of the specific wavelength λs measured by the light detector 10.

[0084] The specific wavelength λs will be described. The specific wavelength λs is a wavelength included in the near-infrared wavelength range, specifically, the wavelength range of 800 nm or more and 2500 nm or less. In addition, the specific wavelength λs is a wavelength included in the near-infrared wavelength range other than the wavelength range absorbed by the main component of the skin, such as water (H2O).

[0085] The absorption bands of water are the wavelength ranges near 970 nm, 1190 nm, 1450 nm, and 1940 nm, respectively. Therefore, in the near-infrared wavelength range (800 nm or more and 2500 nm or less), it is desirable that the specific wavelength λs be included in the wavelength range other than the wavelength range near the absorption bands of water.

[0086] Specific examples of the specific wavelength λs are described. The specific wavelength λs can be, for example, a wavelength included in a wavelength range of 800 nm or more and 950 nm or less. Further, the specific wavelength λs can be, for example, a wavelength included in a wavelength range of 1000 nm or more and 1150 nm or less. Furthermore, the specific wavelength λs can be a wavelength included in a wavelength range of 1230 nm or more and 1415 nm or less. Further, the specific wavelength λs can be a wavelength included in a wavelength range of 1485 nm or more and 1900 nm or less. Furthermore, the specific wavelength λs can be a wavelength included in a wavelength range of 1980 nm or more and 2500 nm or less.

[0087] The specific wavelength λs can be removed from a range affected by lipids and hemoglobin as main components of the skin in addition to the above-described absorption band of water. For example, lipids have an absorption band around 1750 nm. Further, hemoglobin has an absorption band of 800 nm or more and 1000 nm or less. Furthermore, the absorption band of primary and secondary amides includes a wavelength range of 1950 nm to 1970 nm and a wavelength range of 1990 nm to 2010 nm. Further, the absorption band of primary and secondary amides includes a wavelength range of 2040 nm to 2060 nm and a wavelength range of 2100 nm to 2130 nm. Furthermore, the absorption band of primary and secondary amides includes a wavelength range of 2140 nm to 2170 nm. Therefore, it is desirable that the specific wavelength λs be included in a wavelength range other than the vicinity of the absorption band of water, lipids, hemoglobin, and primary and secondary amides in the near-infrared wavelength range.

[0088] Specific examples of the specific wavelength λs considering the absorption band of water, lipids, hemoglobin, and primary and secondary amides are described. The specific wavelength λs can be, for example, a wavelength included in a wavelength range of 1230 nm or more and 1415 nm or less. Further, the specific wavelength λs can be, for example, a wavelength included in a wavelength range of 1485 nm or more and 1710 nm or less. Furthermore, the specific wavelength λs can be a wavelength included in a wavelength range of 1785 nm or more and 1900 nm or less. Further, the specific wavelength λs can be a wavelength included in a wavelength range of 1970 nm or more and 1990 nm or less. Furthermore, the specific wavelength λs can be a wavelength included in a wavelength range of 2010 nm or more and 2040 nm or less. Further, the specific wavelength λs can be a wavelength included in a wavelength range of 2060 nm or more and 2100 nm or less. Furthermore, the specific wavelength λs can be a wavelength included in a wavelength range of 2130 nm or more and 2140 nm or less. Further, the specific wavelength λs can be a wavelength included in a wavelength range of 2180 nm or more and 2500 nm or less.

[0089] In addition, for example, the skin state estimation device 1 can also have a mode (1st measurement mode) in which measurement of the skin state is performed in a wavelength range other than the vicinity of the wavelength range of the water absorption band. Furthermore, the skin state estimation device 1 can also have a mode (2nd measurement mode) in which measurement of the skin state is performed with improved precision in a wavelength range other than the water absorption band, and also excluding a range that is affected by lipids and hemoglobin as a main component of the skin. Furthermore, the skin state estimation device 1 can also switch the restriction of the measurement wavelength to perform measurement in the 1st measurement mode and the 2nd measurement mode.

[0090] Furthermore, in the above example, measurement is performed in the near-infrared wavelength range, but a specific wavelength λs can also be set in the visible light region that is shorter in wavelength than near-infrared light, and a specific wavelength λs can also be set in a region that is longer in wavelength than near-infrared light. In other words, the specific wavelength λs is not limited to the wavelength range as long as the reflection intensity changes according to the skin elasticity.

[0091] (Step S20) Next, the reflection light intensity calculation section IB in the skin state estimation device 1 calculates the intensity Qs of the specific wavelength λs (reflection light intensity calculation process) based on the measurement data Dm acquired by the reflection light measurement section IA.

[0092] For example, the reflection light intensity calculation section IB performs conversion on the measurement data Dm to calculate the intensity Qs of the specific wavelength λs.

[0093] (Step S30) Next, the skin elasticity coefficient calculation section IC in the skin state estimation device 1 calculates the skin elasticity coefficient SCR based on the intensity Qs.

[0094] For example, the skin elasticity coefficient calculation section IC calculates the skin elasticity coefficient SCR based on the relationship between the intensity Qs of the specific wavelength λs and the skin elasticity coefficient SCR that is measured in advance.

[0095] Figure 6 is a graph that explains the processing performed by the skin state estimation device 1, which is an example of the skin state estimation device related to the 1st embodiment. Figure 6 Results in which the results of measurement by the measurement section IM in the skin state estimation device 1 and the results of evaluation by the skin elasticity tester are aggregated for each of the inner arm and the cheek of four subjects including men and women are shown.

[0096] Figure 6 The horizontal axis of is a result obtained by measuring the intensity Qs of the specific wavelength λs in the reflection light RL measured by the measurement section IM (unit: dimensionless). Figure 6The horizontal axis represents the logarithm of the intensity Qs multiplied by a negative value. In other words, Figure 6 The horizontal axis represents the light absorption coefficient. Therefore, Figure 6 The smaller the value on the horizontal axis, the greater the reflection.

[0097] Figure 6 The vertical axis represents the results of skin elasticity measurements using a skin elasticity tester manufactured by Courage+Khazaka. Specifically, Figure 6 The vertical axis represents the parameter R7 (the instantaneous rebound ratio relative to the negative pressure released after the maximum suction height) measured using a skin elasticity tester.

[0098] according to Figure 7 The results show that the correlation coefficient between skin elasticity and the intensity of reflected light is +0.6510. Therefore, skin elasticity measured using a skin elasticity tester is positively correlated with the intensity of reflected light.

[0099] Here, we will explain the principle behind the relationship between skin elasticity and reflected light. Figure 8 It is a diagram illustrating the reflection of light when the skin has high density. Figure 7 It is a diagram illustrating the reflection of light when the skin density is low.

[0100] exist Figure 8 as well as Figure 7 In each figure, cells (CELs) are represented by circles. Figure 8 In the diagram, arrow L11 represents light incident on the skin. Arrows L12 and L13 represent light propagating inside the skin. Figure 7 In the diagram, arrow L21 represents light incident on the skin. Arrows L22 and L23 represent light propagating inside the skin. Arrows L22d and L23d represent light diffused at the cell boundaries.

[0101] For example, such as Figure 8 As shown, when skin density is high, the distance between cell layers (CELs) is short, the difference in refractive index at the cell boundary surfaces decreases, and thus less diffuse light is emitted. Therefore, the higher the skin density, the less diffuse light is emitted, and consequently, more light returns as reflected light.

[0102] On the other hand, such as Figure 9 As shown, when skin density is low, the distance between cell boundaries is long, and light is diffused due to the difference in refractive index at the cell boundaries. Therefore, the lower the skin density, the more diffused light there is, and thus the less light returns as reflected light.

[0103] Skin with higher density is more elastic than skin with lower density. Therefore, the reflectance intensity at a specific wavelength λs varies with skin density. Furthermore, skin elasticity varies depending on skin density; therefore, by measuring the reflectance intensity at a specific wavelength λs, the skin's elasticity can be estimated.

[0104] The skin condition estimation device 1 uses the intensity Qs of a specific wavelength λs as the intensity of the reflected light to calculate the skin elasticity coefficient SCR.

[0105] The specific method for calculating the skin elasticity coefficient (SCR) will be explained. For example, before activating the skin condition estimation device 1, data is collected from 100 subjects. The collected data is the intensity Qs of a specific wavelength λs measured using the skin condition estimation device 1. Then, the skin elasticity coefficient calculation unit 1C uses the collected data to calculate the skin elasticity coefficient (SCR).

[0106] For example, regarding the set of intensities Qs at a specific wavelength λs collected in advance, the maximum value of intensity Qs is set as Qmax, and the minimum value of intensity Qs is set as Qmin. Then, when the intensity of the specific wavelength λs is Qm, the skin elasticity coefficient calculation unit 1C calculates the skin elasticity coefficient SCR based on Equation 1.

[0107]

Formula 1

[0108] Furthermore, the calculation method for the skin elasticity coefficient (SCR) is not limited to the above. For example, a regression analysis can be performed on the relationship between the intensity Qs at a specific wavelength λs and the skin elasticity measured using a skin elasticity tester. The regression curve obtained from the regression analysis can be used to calculate the skin elasticity coefficient (SCR) based on the measured intensity Qm.

[0109] Furthermore, in the above example, the skin elasticity coefficient (SCR) was calculated using the intensity of reflected light, i.e., intensity Qm, but it can also be calculated using absorption spectroscopy. The method for calculating the skin elasticity coefficient using absorption spectroscopy will be explained below.

[0110] For example, regarding the set of absorption spectral intensities SP at a specific wavelength λs collected in advance, the maximum value of the absorption spectral intensities SP at the specific wavelength λs is set as SPmax, and the minimum value is set as SPmin. Then, when the absorption spectral intensities at the specific wavelength λs are SPm, the skin elasticity coefficient calculation unit 1C calculates the skin elasticity coefficient SCR1 based on Equation 2.

[0111]

Formula 2

[0112] (Step S50) Next, the display unit 1E in the skin condition estimation device 1 displays the evaluation results of the skin elasticity evaluation unit 1D on the display 30.

[0113] In addition, in the skin condition estimation device 1, the evaluation results can be displayed as strings, such as "good elasticity", "average elasticity", and "insufficient elasticity", or as numerical values, such as skin elasticity coefficient SCR or skin elasticity coefficient SCR1.

[0114] In the skin condition estimation device 1, when the skin condition is displayed numerically using the skin elasticity coefficient SCR or skin elasticity coefficient SCR1, for example, the elasticity condition can be displayed to the user in a range of 0 to 100 points on the display 30.

[0115] Furthermore, while the above description estimated skin elasticity based on skin condition, skin density can also be estimated. As mentioned above, skin elasticity and skin density are correlated; therefore, skin density can be measured using a skin condition estimation device.

[0116] The skin condition estimation device according to the first embodiment can easily estimate skin conditions such as skin elasticity compared to a skin elasticity tester. Furthermore, the skin condition estimation device according to the first embodiment does not involve suction, unlike a skin elasticity tester, making it easy to maintain. Moreover, since the skin condition estimation device according to the first embodiment does not involve suction, it can measure even skin after makeup application. In other words, the first embodiment provides an easy-to-operate skin condition estimation device.

[0117] Implementation Method 2 The skin condition estimation device according to the second embodiment will be described. The skin condition estimation device according to the second embodiment further includes an attribute information input unit than the skin condition estimation device according to the first embodiment. Then, based on the intensity measured by the measuring unit and the attribute information input from the attribute information input unit, the skin condition estimation device according to the second embodiment estimates at least one of skin elasticity and skin density as the skin condition.

[0118] Figure 10 This is a diagram illustrating the functional structure and processing flow of a skin condition estimation device 2, which is an example of a skin condition estimation device according to the second embodiment.

[0119] The skin condition estimation device 2, based on the skin condition estimation device 1, includes an attribute information input unit 2K. The attribute information input unit 2K consists of an arithmetic unit 20 and an input unit 40. Furthermore, the skin condition estimation device 2 replaces the skin condition estimation unit 1P in the skin condition estimation device 1 with a skin condition estimation unit 2P.

[0120] The measurement unit 1M calculates the intensity Qs of a specific wavelength λs contained in the reflected light RL reflected by the skin SKN. Then, the measurement unit 1M outputs the calculated intensity Qs to the skin condition estimation unit 2P.

[0121] The attribute information input unit 2K inputs the attribute information (ATI) of the object being measured. The attribute information ATI is then input from the attribute information input unit 2K to the skin condition estimation device 2. For example, the attribute information input unit 2K receives the identification information, age, place of residence, and store information of the person being measured, and sends this information as the attribute information ATI. The attribute information input unit 2K outputs the received attribute information ATI to the skin condition estimation unit 2P.

[0122] The skin condition estimation unit 2P calculates the skin elasticity coefficient SCR2, used to evaluate the condition of the skin SKN, based on the intensity Qs measured by the measurement unit 1M and the attribute information ATI input from the attribute information input unit 2K. Then, the skin condition estimation unit 2P outputs the result RES2, obtained by evaluating the skin condition of the skin SKN based on the skin elasticity coefficient SCR2, to the display unit 1E.

[0123] The display unit 1E displays the results based on the evaluation result RES2 from the skin condition estimation unit 2P.

[0124] A specific example of the processing in the skin condition estimation device 2 will be explained.

[0125] Initially, an example will be given where age is input from the attribute information input section 2K as attribute information ATI.

[0126] For example, suppose that measurements were taken in advance for each age group before using the skin condition estimation device 2, and data for each age group were obtained. For example, data were obtained for the 10-year-old, 20-year-old, 30-year-old, 40-year-old, and 50-year-old age groups. Then, the skin condition estimation unit 2P calculates the maximum value Qmax and the minimum value Qmin in Equation 1 based on the total number of ages in the same age group as the age input by the attribute information input unit 2K. Then, the skin condition estimation unit 2P calculates the skin elasticity coefficient SCR2 based on the calculated maximum value Qmax and minimum value Qmin.

[0127] Furthermore, the information input as Attribute Information (ATI) is not limited to age. For example, the information input as Attribute Information (ATI) can also be place of residence, store information, etc. Then, for example, groups with attribute information similar to the Attribute Information (ATI) input from Attribute Information Input Unit 2K can be used as a population to calculate the skin elasticity coefficient (SCR2).

[0128] By calculating the skin elasticity coefficient SCR2 as described above, relative evaluation can be performed in a group of attribute information that is similar to the attribute information ATI input from the attribute information input unit 2K.

[0129] Third implementation method The skin condition estimation device according to the third embodiment will be described. In the skin condition estimation device according to the second embodiment, the skin condition estimation device according to the third embodiment also accumulates the measured intensity.

[0130] Figures 11 to 14This diagram illustrates the functional structure and processing flow of a skin condition estimation device 3, which is an example of a skin condition estimation device according to the third embodiment. The skin condition estimation device 3 also includes a storage unit 3S in the skin condition estimation device 2. Furthermore, the skin condition estimation device 3 replaces the skin condition estimation unit 2P in the skin condition estimation device 2 with a skin condition estimation unit 3P.

[0131] The skin condition estimation device 3 stores the intensity Qs measured by the measuring unit 1M and the attribute information ATI input from the attribute information input unit 2K in a linked manner in the storage unit 3S. Then, the stored data DAT is used for processing by the skin condition estimation unit 3P. The skin condition estimation unit 3P uses the intensity Qs measured by the measuring unit 1M and the attribute information ATI input from the attribute information input unit 2K to calculate the skin elasticity coefficient SCR3. Then, the skin condition estimation unit 3P outputs a result RES3, which is compared with, for example, the average of representative values ​​from a set similar to the attribute information input from the attribute information input unit 2K. The display unit 1E displays the result RES3 to show the representative values ​​from a set similar to the attribute information input from the attribute information input unit 2K. By displaying the representative values ​​and making comparisons, comparisons with a specific group can be made.

[0132] For example, as attribute information, age, place of residence, and stores currently used can be used. Calculations using the accumulated data stored in the Storage Unit 3S can be performed, for example, by each year, each store, each region, each season, and each person. Furthermore, calculations using the accumulated data stored in the Storage Unit 3S can also be performed based on data from all stores. Moreover, calculations using the accumulated data stored in the Storage Unit 3S can also be performed using portable terminals such as smartphones, categorizing activity records by wake-up time, sleep time, and activity time.

[0133] The examples shown in the comparison are explained. Figure 11 These figures illustrate a display example of the display unit 1E in the skin condition estimation device 3, which is an example of a skin condition estimation device according to the third embodiment. Figure 12 This is an example of a graph showing the evaluation coefficient (score) calculated according to the same period and compared with the average (average score), namely DP1. Figure 13 This is an example of a graph showing the evaluation coefficient (score) calculated for the same region and compared with the average value (average score), i.e., the graph showing DP2. Figure 14 This is an example of using the measurer's own past data to calculate the evaluation coefficient (score) and comparing it with the mean (average score), which is shown in the DP3 graph. Figure 15This is an example of a graph showing the evaluation coefficient (score) calculated for people with the same lifestyle in their activity records, and compared with the average (mean score).

[0134] Implementation Method 4 The skin condition estimation device according to the fourth embodiment will be described. The skin condition estimation device according to the fourth embodiment further includes a makeup information input unit in addition to the skin condition estimation device according to the first embodiment. Furthermore, the skin condition estimation device according to the fourth embodiment estimates at least one of skin elasticity and skin density as the skin condition based on the intensity measured by the measuring unit and the makeup information input from the makeup information input unit.

[0135] When makeup is applied to the skin of the subject being measured, the measurement may sometimes be inaccurate due to the makeup. The skin condition estimation device according to the fourth embodiment corrects the estimation results based on makeup information to suppress the influence of makeup.

[0136] Figure 16 This is a diagram illustrating the functional structure and processing flow of a skin condition estimation device 4, which is an example of a skin condition estimation device according to the fourth embodiment.

[0137] The skin condition estimation device 4, based on the skin condition estimation device 1, includes a makeup information input unit 4K and a correction value calculation unit 4H. Furthermore, the skin condition estimation device 4 replaces the skin condition estimation unit 1P in the skin condition estimation device 1 with a skin condition estimation unit 4P. The makeup information input unit 4K consists of an arithmetic unit 20 and an input device 40. The correction value calculation unit 4H consists of the arithmetic unit 20.

[0138] The measurement unit 1M calculates the intensity Qs of a specific wavelength λs contained in the reflected light RL reflected by the skin SKN. Then, the measurement unit 1M outputs the calculated intensity Qs to the skin condition estimation unit 4P.

[0139] The makeup information input unit 4K inputs the makeup information CSI of the object being measured. The makeup information CSI is input from the makeup information input unit 4K to the skin condition estimation device 4. For example, the makeup information input unit 4K accepts the makeup type and application amount as makeup information CSI. The makeup information input unit 4K outputs the accepted makeup information CSI to the correction value calculation unit 4H.

[0140] The correction value calculation unit 4H calculates the correction value CRV based on the makeup information CSI input from the makeup information input unit 4K. For example, the correction value calculation unit 4H calculates the correction value CRV based on the makeup category and application amount in the makeup information CSI. A specific example of the correction value CRV calculated by the correction value calculation unit 4H will be explained using Tu16. Figure 17 This diagram illustrates the processing in the correction value calculation unit 4H of the skin condition estimation device 4, which is an example of the skin condition estimation device according to the fourth embodiment. For example, when the makeup category in the makeup information CSI is "foundation cream" and the application amount is "excessive", the correction value calculation unit 4H calculates "20" as the correction value CRV. The correction value calculation unit 4H outputs the calculated correction value CRV to the skin condition estimation unit 4P.

[0141] The skin condition estimation unit 4P calculates the skin elasticity coefficient SCR4, used to evaluate the condition of the skin SKN, based on the intensity Qs measured by the measurement unit 1M and the makeup information CSI input from the makeup information input unit 4K. Specifically, the skin condition estimation unit 4P calculates the skin elasticity coefficient SCR4, used to evaluate the condition of the skin SKN, based on the intensity Qs measured by the measurement unit 1M and the correction value CRV calculated by the correction value calculation unit 4H based on the makeup information CSI input from the makeup information input unit 4K. Then, the skin condition estimation unit 4P outputs the result RES4, obtained by evaluating the skin condition of the skin SKN based on the skin elasticity coefficient SCR4, to the display unit 1E.

[0142] The display unit 1E displays the results based on the evaluation results RES4 from the skin condition estimation unit 4P.

[0143] Fifth Implementation The skin condition estimation apparatus according to the fifth embodiment will be described. The skin condition estimation apparatus according to the fifth embodiment estimates the skin condition of multiple parts of the object being measured (OBJ). The skin condition estimation apparatus according to the fifth embodiment includes: a measuring unit that receives and measures reflected light reflected in multiple areas of the skin; and a skin condition estimation unit that estimates the skin condition in each of the multiple areas.

[0144] Figure 18 This is a diagram illustrating the functional structure and processing flow of a skin condition estimation device 5, which is an example of a skin condition estimation device according to the fifth embodiment.

[0145] The skin condition estimation device 5 includes a measuring unit 5M, skin condition estimation units 5P(1) to 5P(n), and a display unit 1E. Here, n is an integer of 4 or more. In other words, the skin condition estimation device 5 has n skin condition estimation units. However, in the above example, n is an integer of 4 or more, but the skin condition estimation device according to the fifth embodiment only needs to have two or more, i.e., multiple skin condition estimation units.

[0146] The measurement unit 5M receives and measures reflected light RL in multiple regions of the skin SKN of the object being measured (OBJ). The measurement unit 5M may include a near-infrared camera. Furthermore, the measurement unit 5M outputs the intensity Qs of the corresponding region to multiple skin condition estimation units. Specifically, the measurement unit 5M outputs the measurement result, i.e., intensity Qs (1), in the first region to the skin condition estimation unit 5P (1). Similarly, the measurement unit 5M outputs the measurement result, i.e., intensity Qs (i), in the i-th region to the skin condition estimation unit 5P (i). Here, i is an integer greater than or equal to 1 and less than or equal to n. The same applies below.

[0147] The skin condition estimation unit 5P(i) estimates the skin condition based on the intensity Qs(i) measured by the measurement unit 5M. Then, the skin condition estimation unit 5P(i) outputs the estimated result RES5(i) to the display unit 1E.

[0148] The display unit 1E displays the results based on the evaluation results RES5(i) from the skin condition estimation unit 5P(i).

[0149] The measurement using the skin condition estimation device 5 will be explained. The measurement of the entire face using the skin condition estimation device 5 will be explained. Figure 19 This diagram illustrates the processing in skin condition estimation device 5, which is an example of a skin condition estimation device according to the fifth embodiment.

[0150] This section describes an example of the skin condition estimation device 5 measuring the overall facial fat distribution (FCE). The measurement unit 5M measures the facial FCE so that it is approximately contained within the measurement range MR. Then, the measurement unit 5M measures the portion of the facial FCE contained in each of the multiple regions AR. The measurement unit 5M outputs the results obtained from the measurements of the multiple regions to the skin condition estimation units 5P(1) to 5P(n), respectively.

[0151] Skin condition estimation units 5P(1) to 5P(n) output the results of estimating the skin condition to the display unit 1E. The display unit 1E displays the estimation results of the skin condition of each of the skin condition estimation units 5P(1) to 5P(n).

[0152] The results displayed on the display unit 1E in the skin condition estimation device 5 will be explained. Figure 19 This diagram illustrates the processing in skin condition estimation device 5, an example of the skin condition estimation device according to the fifth embodiment. Figure 20 For example, the display unit 1E in the skin condition estimation device 5 may emphasize areas AR that are above average compared to the results of a group consisting of years, etc., as display R1. Furthermore, the display unit 1E in the skin condition estimation device 5 may emphasize areas AR that are below average compared to the results of a group consisting of years, etc., as display R2. When emphasizing specific areas AR, the display unit 1E may also use color, brightness, shadow lines, etc. Furthermore, when emphasizing specific areas AR, the display unit 1E may, for example, thicken the line width or change the line color of the frame of the area AR.

[0153] Implementation Method 6 The skin condition estimation apparatus according to the sixth embodiment will be described. The skin condition estimation apparatus according to the sixth embodiment estimates the skin condition of multiple locations within the object being measured (OBJ). Similar to the skin condition estimation apparatus according to the fifth embodiment, the skin condition estimation apparatus according to the sixth embodiment includes a skin condition estimation unit that estimates the skin condition in each of the multiple regions. Furthermore, the skin condition estimation apparatus according to the sixth embodiment further includes: a measurement unit that measures reflected light covering a wavelength range including specific wavelengths reflected by the skin of a specific location; a location input unit that specifies the location to be measured; and a location determination unit that determines the location selected by the location input unit.

[0154] Figure 20 This is a diagram illustrating the functional structure and processing flow of a skin condition estimation device 6, which is an example of a skin condition estimation device according to the sixth embodiment.

[0155] The skin condition estimation device 6 includes: a measuring unit 1M; a site input unit 6L for specifying the site to be measured; a site judgment unit 6Q for judging the site selected by the site input unit 6L; and skin condition estimation units 5P(1) to 5P(n) for estimating the skin condition in each of multiple regions. Furthermore, the skin condition estimation units 5P(1) to 5P(n) are the same as the skin condition estimation unit in the skin condition estimation device 5.

[0156] The user uses the measuring unit 1M to measure the desired area of ​​skin. The area input unit 6L inputs area information (ARI) containing the region information of the area measured by the measuring unit 1M. The area information ARI is input from the area input unit 6L to the skin condition estimation device 6. The area input unit 6L receives, for example, the area where the area to be measured exists as the area information ARI. The area input unit 6L outputs the received area information ARI to the area determination unit 6Q.

[0157] The location determination unit 6Q receives the intensity Qs from the measurement unit 1M. Then, based on the location information ARI input from the location input unit 6L, the location determination unit 6Q establishes a correlation between the intensity Qs and the location information ARI. Figure 21 In this context, the area measured by the measurement unit 1M is assumed to be the i-th region selected in the location information ARI. Here, i is an integer greater than or equal to 1 and less than or equal to n. The location determination unit 6Q outputs the intensity Qs as the intensity Qs(i) of the i-th region to the skin state estimation unit 5P(i).

[0158] The skin condition estimation unit 5P(i), which receives the intensity Qs(i) from the location determination unit 6Q, outputs the estimated skin condition result RES6(i) to the display unit 1E. The display unit 1E displays the estimated result RES6(i) from the skin condition estimation unit 5P(i).

[0159] An example of the processing in the skin condition estimation device 6 will be described. Figure 22 as well as Figure 21 This diagram illustrates the processing in skin condition estimation device 6, an example of a skin condition estimation device according to the sixth embodiment. (See diagram for example.) Figure 22 As shown, measurements are performed by the measuring unit 1M in region R11, and region R11 is selected in the location input unit 6L. The skin condition estimation device 6 estimates the skin condition of the facial FCE corresponding to region R11. Then, in Figure 23 In this process, the measurement unit 1M performs measurements in region R12, and region R12 is selected in the location input unit 6L. The skin condition estimation device 6 estimates the skin condition of the facial FCE corresponding to region R12.

[0160] Although the skin condition estimation device 6 is a structure that can only measure one place at a time, by using the site input unit 6L to specify the measurement site, it can measure the skin condition in multiple areas while having a simpler structure (safe configuration) than the skin condition estimation device 5.

[0161] Implementation Method 7 The skin condition estimation apparatus according to the seventh embodiment will be described. The skin condition estimation apparatus according to the seventh embodiment estimates skin condition by changing the measurement depth in the skin. The skin condition estimation apparatus according to the seventh embodiment includes a measuring unit capable of changing the measurement depth and measuring reflected light reflected by the skin. Furthermore, the skin condition estimation apparatus according to the seventh embodiment includes a skin condition estimation unit that estimates at least one of skin elasticity and skin density as the skin condition based on the intensity of a specific wavelength contained in the reflected light measured by the measuring unit. Furthermore, the skin condition estimation apparatus according to the seventh embodiment also includes a depth information input unit for inputting the measurement depth.

[0162] Figure 24 This is a diagram illustrating the functional structure and processing flow of a skin condition estimation device 7, which is an example of a skin condition estimation device according to the seventh embodiment.

[0163] The skin condition estimation device 7 includes a measuring unit 7M, a skin condition estimation unit 7P, a measurement depth input unit 7G, and a display unit 1E.

[0164] The measuring unit 7M can change the measurement depth to measure reflected light from the skin. The measurement depth can be changed, for example, based on wavelength and light intensity (e.g., light beam (unit: lumen)).

[0165] For example, it is known that in the near-infrared wavelength range, the measurement depth changes when the wavelength is changed. For instance, the measurement depth near a wavelength of 1700 nanometers is deeper than that near a wavelength of 1600 nanometers. Furthermore, it becomes even deeper when the wavelength is near 1000 nanometers. Therefore, when measuring the intensity of reflected light, the measuring unit 7M can change the measurement depth by changing a specific wavelength λs.

[0166] Furthermore, for example, the measurement depth can be changed by altering the intensity of the illumination light IL used to generate the reflected light RL. For instance, increasing the intensity of the illumination light IL allows for measurement at a deeper depth. That is, increasing the intensity of the illumination light IL deepens the measurement depth. On the other hand, decreasing the intensity of the illumination light IL allows for measurement only at a shallower depth. That is, decreasing the intensity of the illumination light IL shallows the measurement depth. Therefore, when measuring the intensity of reflected light, the measuring unit 7M can change the measurement depth by altering the intensity of the illumination light.

[0167] Furthermore, the method for changing the measurement depth is not limited to the above. For example, the measurement depth can also be adjusted by changing the position or angle of the light source used to generate the illumination light IL to adjust the optical path.

[0168] The measurement unit 7M changes the measurement depth based on the measurement depth information MDI input from the measurement depth input unit 7G.

[0169] The skin condition estimation unit 7P estimates at least one of the skin elasticity and skin density as the skin condition based on the intensity Qs2 of the specific wavelength λs contained in the reflected light measured by the measurement unit 7M. For the specific estimation method of the skin condition estimation unit 7P, please refer to the description of the skin condition estimation unit 1P; its detailed description is omitted here. Furthermore, the depth measurement input unit 7G outputs depth measurement information MDI to the skin condition estimation unit 7P. The skin condition estimation unit 7P can also appropriately correct the estimation result based on the depth measurement information MDI.

[0170] The depth measurement input unit 7G inputs depth measurement information (MDI) related to the depth measurement. The depth measurement information MDI is then input from the depth measurement input unit 7G to the skin condition estimation device 7. For example, the depth measurement input unit 7G receives the desired depth as the depth measurement information MDI. The depth measurement input unit 7G outputs the received depth measurement information MDI to the measurement unit 7M and the skin condition estimation unit 7P.

[0171] Implementation Method 8 The skin condition estimation device according to the eighth embodiment will be described. The skin condition estimation device according to the eighth embodiment estimates the skin condition of multiple parts of the object being measured (OBJ). Furthermore, the skin condition estimation device according to the eighth embodiment includes a recommendation unit that recommends products based on the estimated results.

[0172] Figure 25 This is a diagram illustrating the functional structure and processing flow of a skin condition estimation device 8, which is an example of a skin condition estimation device according to the eighth embodiment.

[0173] The skin condition estimation device 8, based on the skin condition estimation device 5, also includes a product database 8T that records recommended products corresponding to the measured area, and recommended product decision units 8R(1) to 8R(n).

[0174] The product recommendation decision unit 8R(i) determines the product to be recommended based on the result of the skin condition estimation from the skin condition estimation unit 5P(i). Here, i is an integer greater than or equal to 1 and less than or equal to n. The same applies to i below. The product recommendation decision unit 8R(i) obtains the result RES8(i) of the skin condition estimated by the skin condition estimation unit 5P(i). Then, based on the result RES8(i), the product recommendation decision unit 8R(i) selects and determines the product to be recommended from the product recommendation decision table stored in the product database 8T.

[0175] Figure 25 This diagram illustrates an example of a recommended product determination table included in the skin condition estimation device 8, which is an example of a skin condition estimation device according to the eighth embodiment. Figure 26 The document explains situations where cosmetics are recommended as recommended products.

[0176] For example, in Part 1, if the score of the estimated result in the skin condition estimation section is below average ("score below average"), the product decision section recommends selecting "Eye Care Cream A". In Part 1, if the score of the estimated result in the skin condition estimation section is at an average level ("score at an average level"), the product decision section recommends selecting "Eye Care Cream B". In Part 1, if the score of the estimated result in the skin condition estimation section is above average ("score above average"), the product decision section recommends selecting "Eye Care Cream C".

[0177] Furthermore, for example, in section 2, if the score of the estimated result in the skin condition estimation section is below average ("score below average"), the recommended product selection section would choose "lotion". In section 2, if the score of the estimated result in the skin condition estimation section is at an average level ("score at an average level"), the recommended product selection section would choose "cream A". In section 2, if the score of the estimated result in the skin condition estimation section is above average ("score above average"), the recommended product selection section would choose "cream B".

[0178] The results displayed on the display unit 1E in the skin condition estimation device 8 will be explained. Figure 26 This diagram illustrates the processing in skin condition estimation device 8, an example of the skin condition estimation device according to the eighth embodiment. Figure 26 For example, in the skin condition estimation device 8, the display unit 1E displays recommended cosmetics for the three worst-performing areas (the worst three) in the area where the skin condition is estimated. Figure 26 In the middle, for the region R21 with the worst results, the display unit 1E displays, for example, "Cosmetics A" as a recommended product. Furthermore, in Figure 26In the middle, for the region R22 with the second worst result, the display unit 1E displays, for example, "Cosmetics B" as a recommended product. Furthermore, in Figure 27 In the middle, for the third worst result area R23, the display unit 1E displays, for example, "Cosmetics C" as a recommended product.

[0179] Regarding the display method of recommended products, they can also be displayed as strings overlaid on images, or areas can be represented by colors and displayed in the form of a list containing the corresponding colors.

[0180] Implementation Method 9 As described in the eighth embodiment, the skin condition estimation device includes a recommended product determination unit. However, a recommendation device for recommending products may also be provided separately from the skin condition estimation device. As a ninth embodiment, a product recommendation system including a skin condition estimation device and a recommendation device will be described.

[0181] Figure 28 This is a diagram showing an outline of a product recommendation system 100, which is an example of a product recommendation system according to the ninth embodiment.

[0182] The product recommendation system 100 includes a skin condition estimation device 110 and a recommendation device 120. The skin condition estimation device 110 is, for example, any of the skin estimation devices described in embodiments 1 to 7. The skin condition estimation device 110 outputs a result RES9 of estimating the skin condition to the recommendation device 120. The recommendation device 120 suggests recommended products based on the skin condition estimated by the skin condition estimation device 110. Furthermore, the processing of the recommendation device 120 is the same as that of the recommended product determination unit in the skin condition estimation device 8, therefore its detailed description is omitted.

[0183] The measurement of reflected light in the skin condition estimation device involved in this embodiment The skin condition estimation device according to this embodiment measures the intensity of reflected light at a specific wavelength λs. The structure of the skin condition estimation device according to this embodiment for measuring the intensity of reflected light at a specific wavelength λs will be described.

[0184] [Example 1] Figure 29 This is a diagram illustrating a first example of the measurement of reflected light in the skin condition estimation device according to this embodiment. In this first example, the skin condition estimation device includes a photosensor 10 and a light source 15.

[0185] The light source 15 is, for example, an LED (Light Emitting Diode), an incandescent lamp, a fluorescent lamp, or a discharge lamp. The light source 15 emits light with a relatively wide wavelength range including a specific wavelength λs. The light source 15 illuminates the skin SKN in the object being measured (OBJ) through the illumination light IL. The illumination light IL is reflected by the skin SKN as reflected light RL, which is incident on the photodetector 10.

[0186] The photodetector 10 receives the reflected light RL and converts it into an electrical signal. The photodetector 10 includes an optical filter 11 and a light-receiving element 12.

[0187] Optical filter 11 is, for example, an optical bandpass filter that allows light containing a specific wavelength λs to pass through. The reflected light RL passes through optical filter 11, thereby allowing light containing a narrow wavelength range of the specific wavelength λs contained in the reflected light RL to pass through.

[0188] The light-receiving element 12 converts the received light into an electrical signal. The light-receiving element 12 is, for example, a photodiode.

[0189] The photodetector 10, by having an optical filter 11, is able to detect light of a specific wavelength λs within the wavelength range included by the light source 15.

[0190] [Example 2] The number of light sources is not limited to one. Figure 30 This diagram illustrates a second example of the measurement of reflected light in the skin condition estimation device according to this embodiment. In this second example, the skin condition estimation device includes a photosensor 10 and multiple light sources 15. The light sources 15 may be, for example, two or more.

[0191] Furthermore, regarding the configuration of the multiple light sources 15, it is preferable to arrange them to surround the area where the skin SKN is to be measured. Additionally, a diffuser plate may be provided between the light source 15 and the object being measured to diffuse the light from the light source 15. Moreover, regarding the light source 15, for example, a surface-emitting element, such as an organic electroluminescent element, may be used.

[0192] [Example 3] Figure 31 This is a diagram illustrating a third example of the measurement of reflected light in the skin condition estimation device according to this embodiment. In this third example, the skin condition estimation device includes a photodetector 10A and a light source 16.

[0193] Light source 16 is a light-emitting element with a narrow wavelength range. Light source 16 is, for example, a laser such as an LD (Laser Diode). Light source 16 emits light with a narrow wavelength range containing a specific wavelength λs. Light source 16 illuminates the skin SKN in the object being measured, OBJ, with illumination light IL. Illumination light IL is reflected by the skin SKN as reflected light RL and incident on photodetector 10A.

[0194] The photodetector 10A receives the reflected light RL and converts it into an electrical signal. The photodetector 10A includes a light-receiving element 12. In the third example, since the emission wavelength range of the light source 16 is narrow, the optical filter 11 in the photodetector 10 can be omitted. Alternatively, considering the influence of ambient light, the optical filter 11 can also be included.

[0195] [Example 4] In cases 1 through 3, a light source was prepared separately from the light detector 10, but measurements could also be performed using ambient light such as room lighting or external light through the light detector 10.

[0196] Figures 32 to 34 This diagram illustrates a fourth example of the measurement of reflected light in the skin condition estimation device according to this embodiment. In this fourth example, the skin condition estimation device includes a photosensor 10. In this fourth example, the skin condition estimation device uses reflected light RL, which is reflected by the skin SKN from ambient light NL, to estimate the skin condition.

[0197] When using ambient light level (NL) to estimate the skin condition of skin SKN, it can be assumed that the estimated skin condition differs due to the influence of ambient light NL. Therefore, in case 4, correction is performed to suppress the influence of ambient light NL.

[0198] Figure 32 These are diagrams illustrating the preliminary measurement in the fourth example of the skin condition estimation device according to this embodiment.

[0199] Initially, preparations are made beforehand. These preparations include, for example... Figure 32 As shown, using reference light source 17, measurements were performed on reference reflector REF using a skin condition estimation device. Figure 33 As shown, the reference reflector REF is illuminated by the reference light source 17. Then, the skin condition estimation device measures the intensity of the reflected light RL1 obtained by the light from the reference light source 17 being reflected by the surface SUF of the reference reflector REF. The measured intensity of the reflected light RL1 is set as intensity Qr1. Then, as... Figure 34 As shown, the reflected light RL reflected by multiple objects OBJ is measured, and the maximum value Qmax and minimum value Qmin in Equation 1 are measured.

[0200] Furthermore, as a follow-up to prior preparations, such as Figure 31 As shown, the skin condition estimation device measures the intensity of the reflected light RL2 of the ambient light NL reflected by the surface SUF of the reference reflector REF. The measured intensity of the reflected light RL2 is set as intensity Qr2.

[0201] Then, the skin condition estimation device calculates the offset value based on the intensity Qr1 of the reflected light RL1 emitted by the reference light source 17 and reflected by the reference reflector REF, and the intensity Qr2 of the reflected light RL2 of the ambient light NL reflected by the reference reflector REF. Specifically, the difference between the intensity Qr2 and the intensity Qr1 is set as the offset value Qof.

[0202] Next, the skin condition estimation device, such as ​ As shown, for the skin SKN in the object being measured (OBJ), the intensity Qs of the reflected light RL from the ambient light NL reflected by the skin SKN is measured. Then, an offset value Qof is subtracted from the intensity Qs for correction. The skin condition estimation device uses the corrected intensity Qs to estimate the skin condition.

[0203] The embodiments have been described above, but it should be understood that various changes in manner or detail are possible without departing from the spirit and scope of the claims. Various modifications and improvements, such as combinations or substitutions with some or all of other embodiments, are possible.

[0204] This application claims priority to basic patent application No. 2023-143548 filed with the Japan Patent Office on September 5, 2023, the entire contents of which are incorporated herein by reference.

[0205] Label Explanation 1, 2, 3, 4, 5, 6, 7, 8: Skin condition estimation device 1M, 5M, 7M: Measurement Department 1P, 2P, 3P, 4P, 7P: Presumed Skin Condition Section 5P(1), 5P(2), 5P(3), ..., 5P(n): Skin condition estimation part 2K: Attribute Information Input Section 2P: Skin Condition Prediction Section 4H: Correction Value Calculation Section 4K: Makeup Information Input Department 6L: Part Input Section 6Q: Location Judgment Department 7G: Depth Measurement Input Unit 8R(1), 8R(2), 8R(3), ..., 8R(n): Recommended Product Decision Department 8T: Product Database 10, 10A: Photodetector 11: Optical Filter 12: Light receiving element 15, 16: Light source 17: Reference Light Source 100: Product Recommendation System 110: Skin condition estimation device 120: Recommended device IL: Illuminating light NL: Ambient Light OBJ: The object being measured RL, RL1, RL2: Reflected light.

Claims

1. A skin state estimation device comprising: a measurement unit that measures reflected light including a wavelength range of a specific wavelength reflected by a skin; and a skin state estimation unit that estimates at least either one of a skin elasticity and a skin density of the skin as a skin state, based on an intensity of the specific wavelength included in the reflected light measured by the measurement unit. 2.The skin state estimation device according to claim 1, wherein the skin state estimation unit estimates the skin state based on the intensity measured by the measurement unit and a plurality of measurement results of the intensity for the specific wavelength measured in advance. 3.The skin state estimation device according to claim 2, wherein the skin state estimation unit estimates the skin state based on a maximum value and a minimum value of the intensity among the plurality of measurement results. 4.The skin state estimation device according to any one of claims 1 to 3, wherein the specific wavelength is a wavelength other than a wavelength range absorbed by a main component of the skin. 5.The skin state estimation device according to any one of claims 1 to 3, comprising an attribute information input unit, wherein the skin state estimation unit estimates the skin state based on the intensity measured by the measurement unit and attribute information input from the attribute information input unit. 6.The skin state estimation device according to any one of claims 1 to 3, comprising: an attribute information input unit; and a display unit that displays an estimation result, wherein the display unit performs comparative display of a representative value in a set similar to the attribute information input from the attribute information input unit. 7.The skin state estimation device according to any one of claims 1 to 3, comprising a makeup information input unit, wherein the skin state estimation unit estimates the skin state based on the intensity measured by the measurement unit and makeup information input from the makeup information input unit. 8.The skin state estimation device according to claim 1, wherein the measurement unit receives the reflected light at a plurality of sites of the skin, and the skin state estimation unit estimates the skin state at each of the plurality of sites. 9.The skin state estimation device according to claim 1, wherein the measurement unit receives reflected light of ambient light reflected by the skin as the reflected light, and the skin state estimation unit corrects the intensity based on a first intensity of the specific wavelength of first reflected light emitted from a reference light source and reflected by a reference reflection plate, and a second intensity of the specific wavelength of second reflected light of the ambient light reflected by the reference reflection plate. 10.A product recommendation system comprising: the skin state estimation device according to any one of claims 1 to 3; and a recommendation device that presents a recommended product based on the skin state estimated by the skin state estimation device. 11.A skin state estimation method comprising: ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ a process of measuring reflected light containing a wavelength range of a specific wavelength reflected by the skin; and a process of estimating at least any one of skin elasticity and skin density of the skin as a skin state based on an intensity of the specific wavelength contained in the measured reflected light.

12. A product recommendation method including processes of: a process of measuring reflected light containing a wavelength range of a specific wavelength reflected by the skin; a process of estimating at least any one of skin elasticity and skin density of the skin as a skin state based on an intensity of the specific wavelength contained in the measured reflected light; and a process of prompting a recommended product based on the estimated skin state.

13. A program for causing a computer to execute processes of: a process of acquiring an intensity of a specific wavelength contained in reflected light containing a wavelength range of the specific wavelength reflected by the skin; a process of estimating at least any one of skin elasticity and skin density of the skin as a skin state based on the acquired intensity.

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