Evaluation method, evaluation device, and program

Abstract

The purpose of the present invention is to easily identify the state of a blood vessel at a deep part of a face. The evaluation method according to one embodiment of the present invention includes: acquiring information about a subject to be evaluated, including the real age of the subject and an answer to a questionnaire about the skin of the face of the subject; and predicting the state of a blood vessel at a deep part of the face of the subject from the information about the subject.

Description

Technical Field

[0001] The present invention relates to an evaluation method, an evaluation apparatus, and a program.

Background Art

[0002] Conventionally, techniques for grasping the state of blood vessels are known. For example, techniques such as OCTA (Optical Coherence Tomography Angiography), blood flow meters, Photoacoustic Imaging, and FMD (Flow Mediated Dilation) are known.

Prior Art Literature

Patent Literature

[0003]

Patent Literature 1

Summary of the Invention

Problem to be Solved by the Invention

[0004] However, conventionally, there has been no non-invasive technique for obtaining information on the state of blood vessels in the deep part of the face.

[0005] Therefore, an object of one embodiment of the present invention is to easily grasp the state of blood vessels in the deep part of the face.

Means for Solving the Problem

[0006] An evaluation method according to an embodiment of the present invention comprises: acquiring information about an evaluation subject including the actual age of the evaluation subject and answers to a questionnaire on facial skin of the evaluation subject; and predicting the state of blood vessels in the deep part of the face of the evaluation subject from the information about the evaluation subject.

Effect of the Invention

[0007] According to one embodiment of the present invention, the condition of blood vessels deep within the face can be easily assessed. [Brief explanation of the drawing]

[0008] [Figure 1] This is an overall configuration diagram of one embodiment of the present invention. [Figure 2] This is a functional block diagram of an evaluation device relating to one embodiment of the present invention. [Figure 3] This is a flowchart of the evaluation process related to one embodiment of the present invention (Example 1). [Figure 4] This is a flowchart of the evaluation process according to one embodiment of the present invention (Example 2). [Figure 5] This figure illustrates the correspondence between "actual age and responses to a questionnaire about facial skin" and "the state of blood vessels deep within the face" according to one embodiment of the present invention. [Figure 6] This figure illustrates the correspondence between "actual age and responses to a questionnaire about facial skin" and "the state of blood vessels deep within the face" according to one embodiment of the present invention. [Figure 7] This figure illustrates the correspondence between "actual age and responses to a questionnaire about facial skin" and "the state of blood vessels deep within the face" according to one embodiment of the present invention. [Figure 8] This figure illustrates the relationship between the state of blood vessels and the amount of sagging around the eyes according to one embodiment of the present invention. [Figure 9] This figure illustrates the relationship between the state of blood vessels, the amount of sagging around the eyes, and chronological age according to one embodiment of the present invention. [Figure 10] This is a diagram illustrating the relationship between chronological age and vascular condition according to one embodiment of the present invention. [Figure 11] This is a block diagram showing an example of the hardware configuration of an evaluation device related to one embodiment of the present invention. [Modes for carrying out the invention]

[0009] Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[0010] <Description of Terms> In the present specification, the "blood vessels in the deep part of the face" are facial arteries (specifically, the buccal artery).

[0011] <Overall Configuration> FIG. 1 is an overall configuration diagram according to an embodiment of the present invention. Each component will be described below.

[0012] The evaluation device 10 evaluates the state of blood vessels in the deep part of the face of a subject 30 to be evaluated. Specifically, the evaluation device 10 predicts the state of blood vessels in the deep part of the face of the subject 30 from information related to the subject 30 (for example, "actual age and answers to a facial skin questionnaire" or "measured values of facial skin"). The evaluation device 10 is composed of one or more computers. The evaluation device 10 will be described in detail later with reference to FIG. 2.

[0013] The skin measurement device 20 is a device that measures the facial skin of the subject 30 to be evaluated. For example, the measured value of facial skin is the amount of sagging around the eyes.

[0014] <Functional Blocks> FIG. 2 is a functional block diagram of the evaluation device 10 according to an embodiment of the present invention. The evaluation device 10 may include an acquisition unit 101, a blood vessel state prediction unit 102, a skin state prediction unit 103, and a presentation unit 104. Furthermore, the evaluation device 10 can function as the acquisition unit 101, the blood vessel state prediction unit 102, the skin state prediction unit 103, and the presentation unit 104 by executing a program. Note that the blood vessel state prediction unit 102 and the skin state prediction unit 103 are collectively referred to as a prediction unit.

[0015] The acquisition unit 101 acquires information related to the subject 30 to be evaluated.

[0016] <Information Related to Evaluation Subject> Here, we will describe the information regarding the 30 individuals being evaluated. Below, we will explain two examples of information regarding the 30 individuals being evaluated.

[0017] <<Responses to the questionnaire regarding actual age and facial skin condition>> For example, information about participant 30 includes participant 30's actual age and their responses to a questionnaire about their facial skin. For example, the questionnaire might be about sagging around the eyes.

[0018] For example, the questionnaire includes at least one of the following questions: [Survey questions and example answers] • Feel “greasy”[1], do not feel “greasy”[0]. *This applies regardless of whether or not you are troubled by "greasiness." • Do you feel dullness?[1] No.[0] *This applies regardless of whether or not you are concerned about dullness. • Do you feel you have sagging under your eyes?[1] No.[0] *This applies regardless of whether or not you are concerned about "sagging under the eyes." • Do you feel any dryness or chapping on your lips?[1] No.[0] *This applies regardless of whether or not you suffer from chapped lips. • I am concerned about dullness[1], I am not concerned[0]. • Are you bothered by noticeable blemishes and freckles?[1] No.[0] • Do you have "sagging under your eyes"?[1] No.[0] • Are you bothered by prominent under-eye bags?[1] No.[0]

[0019] <<Facial skin measurement values>> For example, information about the 30 evaluators includes facial skin measurements. For example, the facial skin measurements are measurements related to sagging around the eyes. Specifically, the facial skin measurements are the amount of sagging around the eyes.

[0020] "Amount of sagging around the eyes" refers to the volume (cc) of the area around the eyes that is more sunken when the subject 30 is in a vertical position than when the subject 30 is in a horizontal position. "Around the eyes" refers to the facial area defined by the lower eyelid as the upper limit, the cheekbone as the lower limit, and the area between the nose and the sideburns or ears horizontally, with two such areas on either side of the nose. "Horizontal position" refers to the state in which the midline of the face is held at a right angle to the direction of gravity. "Vertical position" refers to the state in which the midline of the face is held at a right angle to the direction of gravity.

[0021] The vascular condition prediction unit 102 predicts the condition of blood vessels deep within the face of the person being evaluated 30 based on the information about the person being evaluated 30 acquired by the acquisition unit 101. Specifically, the vascular condition prediction unit 102 predicts the condition of blood vessels deep within the face of the person being evaluated 30 by referring to a predetermined correspondence between "information about the person being evaluated 30" and "the condition of blood vessels deep within the face" (details will be described later).

[0022] For example, the condition of blood vessels deep within the face is calculated from the blood flow velocity in those vessels. Alternatively, the condition of blood vessels deep within the face can also be calculated from the blood flow rate and the radius of the blood vessels.

[0023] The skin condition prediction unit 103 predicts the measured values ​​of the facial skin of the person being evaluated 30 (for example, the amount of sagging around the eyes) based on the state of blood vessels deep within the face of the person being evaluated 30, as predicted by the blood vessel condition prediction unit 102. Specifically, the skin condition prediction unit 103 predicts the measured values ​​of the facial skin of the person being evaluated 30 (for example, the amount of sagging around the eyes) by referring to a predetermined correspondence between the "state of blood vessels deep within the face" and the "measured values ​​of the facial skin (for example, the amount of sagging around the eyes)" (details will be described later).

[0024] The display unit 104 presents beauty information corresponding to the condition of the blood vessels deep within the face of the person being evaluated 30. Specifically, the display unit 104 refers to a predetermined correspondence between the "condition of the blood vessels deep within the face" and "beauty information suitable for the condition of the blood vessels," and extracts and presents beauty information corresponding to the condition of the blood vessels deep within the face of the person being evaluated 30. The display unit 104 may also present beauty information corresponding to the facial skin measurements predicted by the skin condition prediction unit 103 (for example, the amount of sagging around the eyes).

[0025] <<Beauty Information>> Here, we will explain beauty information. Beauty information refers to information about products and services related to beauty (for example, product names, service names, prices, etc.). For example, beauty information includes information on skincare and makeup cosmetics, supplements and other food and beverages, cosmetic tools, beauty equipment, aesthetic treatments, and beauty methods that the 30 evaluators should implement.

[0026] <Method> The following are two examples of the evaluation process.

[0027] <<Example 1>> Figure 3 shows an example of an evaluation process according to one embodiment of the present invention (Example 1).

[0028] In step 101 (S101), the acquisition unit 101 acquires information about the person being evaluated 30, including the person's actual age and the person's responses to a questionnaire about their facial skin.

[0029] In step 102 (S102), the vascular condition prediction unit 102 predicts the condition of blood vessels deep within the face of the person being evaluated 30 based on the information about the person being evaluated 30 obtained in S101.

[0030] In step 103 (S103), the skin condition prediction unit 103 predicts the skin measurement values ​​of the subject 30's face (for example, the amount of sagging around the eyes) based on the blood vessel conditions deep within the subject 30's face, which were predicted in S102.

[0031] In step 104 (S104), the display unit 104 presents beauty information corresponding to the condition of blood vessels deep within the face of the person being evaluated 30, as predicted in S102. The display unit 104 may also present beauty information corresponding to the facial skin measurements (for example, the amount of sagging around the eyes) predicted in S103.

[0032] <<Example 2>> Figure 4 shows an example of an evaluation process according to one embodiment of the present invention (Example 2).

[0033] In step 201 (S201), the acquisition unit 101 acquires information about the person being evaluated 30, including measurements of the facial skin of the person being evaluated 30 (for example, the amount of sagging around the eyes).

[0034] In step 202 (S202), the vascular condition prediction unit 102 predicts the condition of blood vessels deep within the face of the person being evaluated 30 based on the information about the person being evaluated 30 obtained in S201.

[0035] In step 203 (S203), the display unit 104 presents beauty information corresponding to the condition of blood vessels deep within the face of the person being evaluated 30, as predicted in S202.

[0036] <<Condition of blood vessels in the deep layers of the face>> Here, we will describe the condition of blood vessels deep within the face (for example, the facial arteries).

[0037] In this invention, the intensity of MRI (Magnetic Resonance Imaging) is used as an index (vascular health) to quantify the condition of blood vessels deep within the face. Specifically, the maximum brightness intensity is calculated within a 10P (pixel) × 10P (pixel) range of the blood vessel location in all images acquired from a single subject by MRA-PC (Magnetic Resonance Angiography - Phase Contrast), and the average of all maximum intensities is taken as the brightness intensity of blood vessels deep within the face. The measurement parameters for the brightness intensity of blood vessels deep within the face are set to be proportional to the blood flow velocity, and the concept of quantifying the condition of blood vessels deep within the face will be explained in detail below.

[0038] The following equation can be derived from fluid dynamics. v=Q / πr 2 ...(Formula 1) In addition, v: blood flow velocity Q: Blood flow r: Radius of the blood vessel That is the case.

[0039] It is known that the radius of blood vessels deep within the face (e.g., facial arteries) decreases with age. From (Equation 1) above, blood flow velocity is inversely proportional to the square of the blood vessel radius. In other words, using the brightness intensity of blood vessels as an indicator to quantify the condition of blood vessels deep within the face allows for a sensitive quantification of vascular health. For example, blood vessels become brighter when the blood flow velocity is fast, which indicates unhealthy blood vessels, and darker when the blood flow velocity is slow, which indicates healthy blood vessels. From these findings, it can be seen that in MRA-PC images, brighter blood vessels (i.e., smaller square of the blood vessel radius) are less healthy, and darker blood vessels (i.e., larger square of the blood vessel radius) are healthier.

[0040] <Correspondence between "information about the person being evaluated" and "condition of blood vessels deep within the face"> Here, we will explain the correspondence between "information on the 30 subjects" and "the condition of blood vessels deep within the face." We will explain this separately for cases where "information on the 30 subjects" includes "actual age and responses to a facial skin questionnaire" and cases where "information on the 30 subjects" includes "measurements of the facial skin."

[0041] <<Correspondence between "Actual age and facial skin questionnaire responses" and "Condition of blood vessels in the deep layers of the face">> This section describes the case where the information of the 30 subjects being evaluated includes "actual age and responses to a questionnaire about facial skin." Figures 5 to 7 are diagrams illustrating the correspondence between "actual age and responses to a questionnaire about facial skin" and "the condition of blood vessels deep within the face" according to one embodiment of the present invention.

[0042] The following questionnaire was administered to the subjects (46 people), and the responses shown in Figure 5 were obtained.

[0043] [Survey questions and example answers] • Feel “greasy”[1], do not feel “greasy”[0]. *This applies regardless of whether or not you are troubled by "greasiness." • Do you feel dullness?[1] No.[0] *This applies regardless of whether or not you are concerned about dullness. • Do you feel you have sagging under your eyes?[1] No.[0] *This applies regardless of whether or not you are concerned about "sagging under the eyes." • Do you feel any dryness or chapping on your lips?[1] No.[0] *This applies regardless of whether or not you suffer from chapped lips. • I am concerned about dullness[1], I am not concerned[0]. • Are you bothered by noticeable blemishes and freckles?[1] No.[0] • Do you have "sagging under your eyes"?[1] No.[0] • Are you bothered by prominent under-eye bags?[1] No.[0]

[0044] In Figure 5, "No" indicates the subject's number. "Ave" in Figure 5 indicates the state of blood vessels deep within the subject's face (vascular health) based on the intensity of blood vessel brightness obtained from MRI images. "Age" in Figure 5 indicates the subject's actual age. In Figure 5, "Oilyness (feel, don't feel)", "Dullness (feel, don't feel)", "Under-eye bags (feel, don't feel)", "Chapped lips (feel, don't feel)", "Dullness (worried, not worried)", "Prominence of freckles and age spots (worried, not worried)", "Under-eye bags (worried, not worried)", and "Prominence of under-eye bags (worried, not worried)" indicate the questions from the questionnaire.

[0045] Figure 6 shows the regression statistics between "actual age and responses to the facial skin questionnaire" and "the state of blood vessels in the deep layers of the face." As shown in Figure 6, the multiple correlation coefficient R is 0.661344, and the multiple determination R is 0.661344. 2 The coefficient of determination is 0.437376, and the corrected R 2 The adjusted R-squared (DCR) was 0.29672, the standard error was 2.809063, and the number of observations was 46.

[0046] Figure 7 shows the coefficients, standard errors, and t-values ​​for "intercept," "Age (actual age of the subject)," and "questionnaire questions ("oiliness (feels, does not feel)," "dullness (feels, does not feel)," "sagging under the eyes (feels, does not feel)," "chapped lips (feels, does not feel)," "dullness (is worried, is not worried)," "prominence of blemishes and freckles (is worried, is not worried)," "sagging under the eyes (is worried, is not worried)," and "prominence of under-eye bags (is worried, is not worried))."

[0047] Thus, it was found that there is a correlation between "actual age and responses to the facial skin questionnaire" and "the condition of blood vessels deep within the face." Therefore, the blood vessel condition prediction unit 102 can predict the condition of blood vessels deep within the face (vascular health) by weighting the responses to each questionnaire question (i.e., 1 or 0) using the coefficients in Figure 7 and summing them up.

[0048] <<Correspondence between "Facial Skin Measurement Values" and "Blood Vessel Condition in the Deep Layers of the Face">> This section explains the case where the information about the 30 evaluators includes "measurements of facial skin (e.g., the amount of sagging around the eyes)."

[0049] Figure 8 illustrates the relationship between the state of blood vessels (horizontal axis) and the amount of sagging around the eyes (vertical axis) according to one embodiment of the present invention. Figure 8 shows the relationship between the state of blood vessels in the deep layers of the subject's face (vascular health) based on the intensity of blood vessel brightness obtained from MRI images, and the amount of sagging around the subject's eyes. The multiple correlation coefficient was 0.38, the p-value was 0.009, and the number of subjects was 47. Thus, there was a correlation between the state of blood vessels in the deep layers of the subject's face (vascular health) based on the intensity of blood vessel brightness obtained from MRI images, and the amount of sagging around the subject's eyes.

[0050] Figure 9 is a diagram illustrating the relationship between the state of blood vessels (horizontal axis), the amount of sagging around the eyes (vertical axis), and chronological age according to one embodiment of the present invention. Figure 9 shows the relationship between the state of blood vessels in the deep layers of the subject's face (vascular health), based on the intensity of blood vessel brightness obtained from MRI images, and the amount of sagging around the subject's eyes, for each age group of chronological age. Thus, the state of blood vessels in the deep layers of the subject's face (vascular health), based on the intensity of blood vessel brightness obtained from MRI images, correlates with the amount of sagging around the subject's eyes, but does not correlate with chronological age.

[0051] Figure 10 is a diagram illustrating the relationship between chronological age (horizontal axis) and vascular condition (vertical axis) according to one embodiment of the present invention. Figure 10 shows the relationship between the subject's chronological age and the vascular condition (vascular health) in the deep tissues of the subject's face based on the intensity of vascular brightness obtained from MRI images. The p-value for 20s (20s) and 50s (50s) was 0.047 (i.e., there was a significant difference between 20s (20s) and 50s (50s)). However, there is no correlation between the subject's chronological age and the vascular condition (vascular health) in the deep tissues of the subject's face based on the intensity of vascular brightness obtained from MRI images.

[0052] Thus, it was found that "measurements of facial skin (e.g., the amount of sagging around the eyes)" and "the state of blood vessels deep within the face" correlated more strongly with "actual age" than with "the state of blood vessels deep within the face." Therefore, the blood vessel condition prediction unit 102 can predict the state of blood vessels deep within the face with greater accuracy by using measurements of facial skin (e.g., the amount of sagging around the eyes) than by using actual age.

[0053] Furthermore, the skin condition prediction unit 103 can predict the facial skin measurements (for example, the amount of sagging around the eyes) of the subject 30, using the correlation between "measured facial skin values ​​(for example, the amount of sagging around the eyes)" and "the state of blood vessels deep within the face," based on the state of blood vessels deep within the face of the subject 30 predicted by the blood vessel condition prediction unit 102.

[0054] <Effects> This invention makes it possible to easily understand the condition of blood vessels deep within the face. For example, by simply obtaining the actual age of the person being evaluated and the answers to a questionnaire about the skin of the person being evaluated, the condition of blood vessels deep within the face can be understood. Furthermore, by simply obtaining measurements of the skin of the person being evaluated, the condition of blood vessels deep within the face can be understood with greater accuracy than by using actual age.

[0055] Thus, the present invention makes it possible to understand the condition of blood vessels deep within the skin that affect it. Conventional methods (specifically, methods based on the structure of blood vessels) could only understand the capillaries affected by the skin, but the method of the present invention makes it possible to understand the blood vessels deep within the skin that affect it.

[0056] <Hardware Configuration> Figure 11 is a block diagram showing an example of the hardware configuration of an evaluation device 10 according to one embodiment of the present invention. The evaluation device 10 has a CPU (Central Processing Unit) 1, a ROM (Read Only Memory) 2, and a RAM (Random Access Memory) 3. The CPU 1, ROM 2, and RAM 3 form a so-called computer. The evaluation device 10 may also have an auxiliary storage device 4, a display device 5, an operating device 6, an I / F (Interface) device 7, and a drive device 8. The hardware components of the evaluation device 10 are interconnected via a bus B.

[0057] CPU1 is a computing device that executes various programs installed on auxiliary storage device 4.

[0058] ROM2 is non-volatile memory. ROM2 functions as a main memory device that stores various programs, data, etc., necessary for the CPU1 to execute the various programs installed on the auxiliary storage device 4. Specifically, ROM2 functions as a main memory device that stores boot programs such as BIOS (Basic Input / Output System) and EFI (Extensible Firmware Interface).

[0059] RAM3 is a volatile memory such as DRAM (Dynamic Random Access Memory) or SRAM (Static Random Access Memory). RAM3 functions as a main memory device that provides a working area that is expanded when various programs installed on auxiliary storage device 4 are executed by CPU 1.

[0060] The auxiliary storage device 4 is an auxiliary storage device that stores various programs and information used when various programs are executed.

[0061] Display device 5 is a display device that displays the internal state of the evaluation device 10, etc.

[0062] The operating device 6 is an input device in which the administrator of the evaluation device 10 inputs various instructions to the evaluation device 10.

[0063] The I / F device 7 is a communication device that connects to a network and communicates with other devices.

[0064] The drive device 8 is a device for setting the storage medium 9. The storage medium 9 here includes media that record information optically, electrically, or magnetically, such as CD-ROMs, flexible disks, and magneto-optical disks. The storage medium 9 may also include semiconductor memories that record information electrically, such as EPROMs (Erasable Programmable Read Only Memory) and flash memory.

[0065] The various programs to be installed on the auxiliary storage device 4 are installed, for example, when the distributed storage medium 9 is set in the drive device 8 and the various programs recorded on the storage medium 9 are read by the drive device 8. Alternatively, the various programs to be installed on the auxiliary storage device 4 may be installed by downloading them from the network via the I / F device 7.

[0066] Although embodiments of the present invention have been described in detail above, the present invention is not limited to the specific embodiments described above, and various modifications and changes are possible within the scope of the gist of the present invention as described in the claims.

[0067] This international application claims priority based on Japanese Patent Application No. 2022-030316, filed on 28 February 2022, and the entire contents of No. 2022-030316 are incorporated herein by reference. [Explanation of Symbols]

[0068] 10 Evaluation device 20 Skin measuring device 30 people to be evaluated 101 Acquisition Department 102 Vascular Condition Prediction Section 103 Skin condition prediction unit 104 Presentation section

Claims

1. Obtaining information about the person being evaluated, including the person's actual age and the person's responses to a questionnaire about their facial skin, By referring to the correspondence between information including predetermined actual age and responses to a facial skin questionnaire and the condition of blood vessels deep within the face, the condition of blood vessels deep within the face of the person being evaluated is predicted from the information about the person being evaluated. By referring to the predetermined correspondence between the state of blood vessels deep within the face and the amount of indentation around the eyes that occurs when the body position changes from horizontal to vertical, the amount of indentation around the eyes of the person being evaluated is predicted from the state of blood vessels deep within the face of the person being evaluated. An evaluation method that includes this.

2. To obtain the amount of indentation around the eyes that occurs when the subject's body position changes from horizontal to vertical, By referring to the predetermined correspondence between the amount of hollowing around the eyes and the state of blood vessels deep within the face, the state of blood vessels deep within the face of the person being evaluated is predicted from the amount of hollowing around the eyes of the person being evaluated. An evaluation method that includes this.

3. To present cosmetic information tailored to the condition of blood vessels deep within the face of the person being evaluated. The evaluation method according to claim 1 or 2, further comprising:

4. The evaluation method according to claim 1 or 2, wherein the blood vessels in the deep part of the face are arteries.

5. The evaluation method according to claim 1 or 2, wherein the state of blood vessels in the deep part of the face is the state of blood vessels calculated from the blood flow velocity in the blood vessels.

6. The evaluation method according to claim 1 or 2, wherein the condition of the blood vessels in the deep part of the face is the condition of the blood vessels calculated from the blood flow rate of the blood vessels and the radius of the blood vessels.

7. The evaluation method according to claim 1 or 2, wherein the state of blood vessels in the deep part of the face is the state of blood vessels calculated from the signal intensity of blood vessels in an MRI (Magnetic Resonance Imaging) image.

8. The evaluation method according to claim 1 or 2, wherein the state of blood vessels in the deep part of the face is the state of blood vessels calculated from the signal intensity of blood vessels in MRA-PC (Magnetic Resonance Angiography - Phase Contrast) images of MRI (Magnetic Resonance Imaging).

9. An acquisition unit that acquires information about the person being evaluated, including the person's actual age and the person's responses to a questionnaire about their facial skin, By referring to the correspondence between predetermined actual age and information including responses to a facial skin questionnaire and the condition of blood vessels deep within the face, the condition of blood vessels deep within the face of the person being evaluated is predicted from the information about the person being evaluated. A prediction unit predicts the amount of indentation around the eyes of the person being evaluated based on the state of blood vessels deep within the face, by referring to a predetermined correspondence between the state of blood vessels deep within the face and the amount of indentation around the eyes that occurs when the body position changes from horizontal to vertical. An evaluation device equipped with the following features.

10. An acquisition unit that acquires the amount of indentation around the eyes that occurs when the body position of the person being evaluated changes from horizontal to vertical, A prediction unit predicts the state of blood vessels deep within the face of the person being evaluated based on the amount of hollowing around the eyes, by referring to the correspondence between a predetermined amount of hollowing around the eyes and the state of blood vessels deep within the face. An evaluation device equipped with the following features.

11. Evaluation device An acquisition unit that acquires information about the person being evaluated, including the person's actual age and the person's responses to a questionnaire about their facial skin. By referring to the correspondence between predetermined actual age and information including responses to a facial skin questionnaire and the condition of blood vessels deep within the face, the condition of blood vessels deep within the face of the person being evaluated is predicted from the information about the person being evaluated. A prediction unit predicts the amount of indentation around the eyes of the person being evaluated based on the state of blood vessels deep within the face of the person being evaluated, by referring to a predetermined correspondence between the state of blood vessels deep within the face and the amount of indentation around the eyes that occurs when the body position changes from horizontal to vertical. A program designed to function as such.

12. Evaluation device An acquisition unit that acquires the amount of indentation around the eyes that occurs when the body position of the person being evaluated changes from horizontal to vertical. A prediction unit predicts the state of blood vessels deep within the face of the person being evaluated, based on the amount of hollowing around the eyes, by referring to a predetermined correspondence between the amount of hollowing around the eyes and the state of blood vessels deep within the face. A program designed to function as such.

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