Method for estimating the amount of sinking of a bed mattress, selection support method, sinking amount estimation system, selection support system, sinking amount estimation program, and selection support program.

Abstract

To provide a sinking amount estimation system of a bed mattress, highly usable as a sales promotion tool, and capable of proposing a bed mattress suitable for an object person.SOLUTION: A sinking amount estimation system of a bed mattress includes an estimation part for estimating a sinking amount of each body part when an object person lies on a bed mattress of each hardness by using an estimation formula for estimating a sinking amount of each body part from a hardness index value of the bed mattress, and a feature amount of the body shape of the object person. As each body part of the object person, at least the back part, the waist part and the hip are adopted, and as the feature amount of the body shape of the object person, at least a width dimension and a thickness dimension of each body part are adopted. As the estimation formula, a calibration curve is adopted which is constituted by performing regression analysis of the feature amounts of the body shapes of the prescribed number of subjects obtained by previously measuring correspondingly with regions of the feature amounts of the body shape of the object person and the hardness index value, as explanatory variables.SELECTED DRAWING: Figure 4

Description

【Technical Field】 【0001】 The present invention relates to a method for estimating the amount of depression of a bed mattress, a method for assisting selection, a system for estimating the amount of depression, a system for assisting selection, a program for estimating the amount of depression, and a program for assisting selection. 【Background Art】 【0002】 In order to lead a healthy life both physically and mentally, good-quality sleep is necessary, and a bed mattress is one of the factors that deeply affect the quality of sleep. In particular, factors such as the hardness of the bed mattress and the amount of depression that changes accordingly are important, and by using a bed mattress with a hardness suitable for the subject (the user of the bed mattress, which is referred to as the "subject" in this specification), the quality of sleep can be improved. Therefore, various proposals have been made regarding a bed mattress suitable for the subject (see, for example, Patent Documents 1-3). 【0003】 The mattress selection system disclosed in Patent Document 1 selects a mattress suitable for the subject in combination with any of a plurality of types of surface layers having different thicknesses or materials disposed on a plurality of types of support layer portions having different hardnesses. This mattress selection system selects a support layer based on the obesity or weight of the subject and selects a surface layer portion based on the pelvic state. 【0004】 The bed hardness characteristic setting device disclosed in Patent Document 2 has an actuator including a displacement amount detection unit that detects a displacement amount that varies according to the weight of the subject and a force generation unit that applies a force to the subject. In this characteristic setting device, the actuator applies a force obtained from a preset spring constant and a sequentially detected displacement amount to the subject, and changes the spring constant when a hardness change request command is received from the subject. This characteristic setting device stores the spring constant of the actuator at the time when a hardness determination command is received from the subject while continuously applying a force that sequentially changes according to the displacement to the subject. 【0005】 The method for manufacturing a mattress disclosed in Patent Document 3 involves measuring the body pressure distribution when a subject lies on the mattress, determining the pressure distribution properties, and if these properties are not within the appropriate range, changing one or more of the divided middle layers to those with different hardness, and repeating the process of measuring the body pressure distribution again to determine the appropriate combination of divided middle layers, thereby manufacturing a mattress customized for the subject. [Prior art documents] [Patent Documents] 【0006】 [Patent Document 1] Japanese Patent Publication No. 2019-136322 [Patent Document 2] Japanese Patent Publication No. 2011-056082 [Patent Document 3] Japanese Patent Publication No. 2005-000641 [Overview of the project] [Problems that the invention aims to solve] 【0007】 Many people considering purchasing a bed mattress are reluctant to disclose their weight. Therefore, a system that selects mattresses based on the user's obesity level or weight, such as the mattress selection system disclosed in Patent Document 1, is difficult to use as a sales promotion tool. 【0008】 Furthermore, systems like those described in Patent Documents 2 and 3, which involve the subject actually lying down and undergoing repeated detailed measurements and adjustments, require a large space for installation and a long time for measurements. For this reason, such systems are difficult to use as a sales promotion tool except when providing a custom-made bed mattress that is finished to a single subject over a sufficient period of time through face-to-face interaction. 【0009】 In view of these points, the main objective of the present invention is to provide a method for estimating the amount of sinking of a bed mattress, a selection support method, a sinking amount estimation system, a selection support system, a sinking amount estimation program, and a selection support program that are highly usable as sales promotion tools and can propose a bed mattress suitable for the target audience. [Means for solving the problem] 【0010】 To solve the above problems, the bed mattress sinkage estimation method and estimation system according to the present invention estimates the amount of sinkage of each part of the subject's body when the subject lies on a bed mattress for which a hardness index value indicating the degree of hardness is defined, based on the characteristic quantities of the subject's body shape. The subjects' body parts include at least the back, waist, and buttocks, and the characteristic features of the subjects' body shape include at least the width and thickness dimensions of each body part. As an estimation formula for estimating the amount of sinking of each part of the body in a bed mattress, a calibration curve was constructed by performing a regression analysis using the characteristic features of the body shape of a predetermined number of subjects, obtained by pre-measuring and correlating them with the body shape characteristics of each subject, and the hardness index values ​​as explanatory variables. This method is characterized by using this estimation formula to estimate the amount of sinking of each part of the body when a subject lies on a bed mattress of each firmness, based on the firmness index value and characteristic quantities of the subject's body shape. 【0011】 More specifically, in the bed mattress sinking amount estimation method and estimation system according to the present invention, The firmness index value is determined by the coil compression amount of the pocket coils embedded in the bed mattress, and the firmness of the bed mattress changes with changes in the coil compression amount. As the amount of sinking in each part of the subject's body, the amount of sinking in the back (the part with the greatest sinking in the back), the amount of sinking in the waist (the part with the least sinking in the waist), and the amount of sinking in the buttocks (the part with the greatest sinking in the buttocks) were used, with the neck on the median sagittal plane as the reference point. As characteristic body shape measurements of the subjects, the following body dimensions were adopted: the width of the widest part of the back in a standing position, the width of the narrowest part of the waist, and the width of the widest part of the buttocks; and the thickness of the back, the thickest part of the back, the thickest part of the waist, and the thickest part of the buttocks, measured with the neck as the reference point on the median sagittal plane. Based on the coil compression amount and the dimensions of each body part, an estimation formula was developed to estimate the amount of sinking of each body part in a bed mattress of a hardness defined by the coil compression amount. This formula involved measuring the dimensions of each body part, which are characteristic quantities of the body shape, of a predetermined number of subjects. The amount of sinking of each body part of the subject was measured when the subject actually lay supine on a bed mattress of each hardness defined by different coil compression amounts. A calibration curve was constructed by performing regression analysis with the measured amount of sinking of each body part at each hardness as the dependent variable and the coil compression amount and the dimensions of each body part as the independent variables. This method is characterized by using this estimation formula to estimate the amount of sinking of each part of the body when the subject lies supine on a bed mattress of each firmness, based on the coil compression amount which defines the firmness of the bed mattress and the dimensions of each part of the subject's body. 【0012】 If the characteristic features of the subject's body shape are unknown, it is sufficient to measure the dimensions of each body part, which are characteristic features of the subject's body shape, before estimating the amount of sinking. 【0013】 In this case, it is preferable to measure the characteristic features of the body shape of the subject in a standing position non-contact using a distance image sensor. 【0014】 It is preferable to prepare estimation formulas for men and women, constructed based on the body dimensions of male and female subjects, and to estimate the amount of sinking of each body part using the estimation formula corresponding to the subject's gender in the estimation step. 【0015】 The firmness of a bed mattress is defined as follows: for example, to achieve a firmness equivalent to a commercially available soft bed mattress, the coil compression amount is set to 12 mm to achieve a reaction force of 4.1 N per pocket coil; to achieve a firmness equivalent to a commercially available slightly soft bed mattress, the coil compression amount is set to 23 mm to achieve a reaction force of 6.2 N; to achieve a firmness equivalent to a commercially available standard firm bed mattress, the coil compression amount is set to 29 mm to achieve a reaction force of 6.6 N; and to achieve a firmness equivalent to a commercially available firm bed mattress, the coil compression amount is set to 56 mm to achieve a reaction force of 8.4 N. 【0016】 Since the characteristic features of body shape differ significantly between men and women, it is preferable to use estimation formulas appropriate for each. For example, the following estimation formula can be used. Estimation formula for men Back cushioning amount = 0.37 (back thickness) + 2.48 (buttock width) - 0.35 (coil compression) - 66.57 Lumbar sinking amount = 1.29 (buttock width) - 0.32 (coil compression) - 18.76 Buttock sinkage amount = -0.09 (back thickness) + 1.17 (buttock width) - 0.38 (coil compression) + 18.29 Estimation formula for women Back compression amount = 0.13 (back thickness) + 0.51 (waist width) + 1.54 (hip width) - 0.27 (coil compression) - 0.48 (height) + 35.25 Lumbar sinking amount = 1.37 (buttock width) - 0.21 (coil compression) - 16.78 Hip sink amount = 1.75 (back width) + 0.96 (hip width) - 0.34 (coil compression) - 45.13 【0017】 Next, the bed mattress selection support method and selection support system according to the present invention are characterized by estimating the amount of sinking of each part of the subject's body as described above, and by comparing at least the estimated amount of sinking of the buttocks with a preset appropriate value for the amount of sinking of the buttocks, thereby selecting a bed mattress with a firmness that the subject finds comfortable to sleep on. 【0018】 The appropriate value of the hip sinking amount is preferably a value of 26.7 mm or more. 【0019】 The appropriate value of the hip sinking amount is more preferably 26.7 mm to 36.4 mm. 【0020】 Next, the sinking amount estimation program for the bed mattress according to the present invention causes a computer to execute a function of estimating the sinking amount of each part of the subject's body when the subject lies on a bed mattress for which a hardness index value indicating the degree of hardness is defined, based on the feature amount of the subject's body shape, according to the above-described sinking amount estimation method for the bed mattress. 【0021】 The selection support program for the bed mattress according to the present invention causes a computer to execute a function of estimating the sinking amount of each part of the subject's body and a function of selecting a bed mattress having a hardness that makes the subject feel comfortable by comparing at least the estimated hip sinking amount among the estimated sinking amounts with a preset appropriate value of the hip sinking amount, according to the above-described selection support method for the bed mattress. 【Effect of the Invention】 【0022】 According to the present invention, it is highly usable as a sales promotion tool and can propose a bed mattress suitable for the subject. 【Brief Description of the Drawings】 【0023】 [Figure 1] It is an explanatory diagram showing the sinking amount. [Figure 2] It is an explanatory diagram showing the feature amount of the body shape regarding the width dimension. [Figure 3] It is an explanatory diagram showing the feature amount of the body shape regarding the thickness dimension. [Figure 4]This diagram shows the configuration of a bed mattress sinkage estimation system according to an embodiment, and a bed mattress selection support system that includes this bed mattress sinkage estimation system. [Figure 5] This is a schematic diagram of the bed system used when deriving the estimation formula and determining the appropriate hardness value. [Figure 6] This graph shows the average rating of sleeping comfort for each cluster. [Figure 7] This flowchart shows a method for assisting in the selection of a bed mattress according to an embodiment. [Modes for carrying out the invention] 【0024】 Below, with reference to the drawings, a bed mattress sinkage estimation system 1 and a bed mattress selection support system 2 utilizing the bed mattress sinkage estimation system 1 will be described as one embodiment of the present invention. Note that the drawings do not necessarily strictly reflect all actual configurations. 【0025】 (1-1. Configuration of the bed mattress sinking amount estimation system 1 of the embodiment) Figure 1 is an explanatory diagram showing the amount of sinking. Figure 2 is an explanatory diagram showing the characteristic quantities of the body shape related to the width dimension. Figure 3 is an explanatory diagram showing the characteristic quantities of the body shape related to the thickness dimension. Figure 4 is a configuration diagram of the bed mattress sinking amount estimation system 1 (and bed mattress selection support system 2) of the embodiment. Referring to these figures, the configuration of the bed mattress sinking amount estimation system 1 of the embodiment will be explained. 【0026】 The bed mattress sinkage estimation system 1 is a system that estimates the amount of sinkage of each part of a person's body when they lie on a bed mattress with a defined hardness index value indicating the degree of hardness, based on the characteristic quantities of the person's body shape. 【0027】 Here, the bed mattress that the bed mattress sinkage estimation system 1 attempts to estimate the amount of sinkage for is specifically one that incorporates multiple pocket coils, and whose hardness index value is determined by the amount of coil compression of the pocket coils incorporated into the bed mattress. In such a bed mattress that incorporates pocket coils, the hardness changes with changes in the amount of coil compression. Examples of bed mattresses that the bed mattress sinkage estimation system 1 attempts to estimate the amount of sinkage for include one with a hardness equivalent to a commercially available soft bed mattress, where the coil compression is defined at 12 mm to achieve a reaction force of 4.1 N per pocket coil; one with a hardness equivalent to a commercially available slightly soft bed mattress, where the coil compression is defined at 23 mm to achieve a reaction force of 6.2 N; one with a hardness equivalent to a commercially available standard hard bed mattress, where the coil compression is defined at 29 mm to achieve a reaction force of 6.6 N; and one with a hardness equivalent to a commercially available hard bed mattress, where the coil compression is defined at 56 mm to achieve a reaction force of 8.4 N. 【0028】 Furthermore, the bed mattress sinkage estimation system 1 attempts to estimate the amount of sinkage of each part of the subject's body, at least the back, waist, and buttocks. More specifically, as shown in Figure 1, the bed mattress sinkage estimation system 1 attempts to estimate the amount of back sinkage at the point of greatest sinkage in the back, the amount of waist sinkage at the point of least sinkage in the waist, and the amount of buttock sinkage at the point of greatest sinkage in the buttocks, all measured with the subject's neck on the median sagittal plane as the reference point. 【0029】 Furthermore, in the bed mattress sinkage estimation system 1, the characteristic features of the subject's body shape used for estimation are height, and at least the width and thickness dimensions of each part of the body. More specifically, in the bed mattress sinkage estimation system 1, the characteristic features of the subject's body shape used for estimation are the subject's height, and, as shown in Figure 2, the back width dimension of the widest part of the back in a standing position, the waist width dimension of the narrowest part of the waist, and the buttock width dimension of the widest part of the buttocks, and as shown in Figure 3, the back thickness dimension of the thickest part of the back, the waist thickness dimension of the thickest part of the waist, and the buttock thickness dimension of the thickest part of the buttocks, measured with the neck on the median sagittal plane as the reference point. 【0030】 As shown in Figure 4, the bed mattress sinkage estimation system 1 includes an estimation unit 11 that estimates the amount of sinkage of each part of the body when a subject lies supine on a bed mattress of each firmness, an input / output unit 12 for sending and receiving input or output data to and from external devices, a measurement unit 13 for measuring characteristic quantities of the subject's body shape, and a control unit 14 for controlling the entire system. 【0031】 The estimation unit 11 estimates the amount of sinking of each part of the body in a bed mattress of each hardness when the subject lies supine on it, using an estimation formula that estimates the amount of sinking of each part of the body in a bed mattress of each hardness, based on the hardness index value and the dimensions of each part of the body, which are characteristic quantities of the subject's body shape. In the estimation unit 11, a calibration curve constructed by performing regression analysis with the characteristic quantities of the body shape and hardness index values ​​of a predetermined number of subjects, obtained by pre-measuring in correspondence with the body parts of the subject's characteristic quantities, as explanatory variables is adopted. More specifically, the estimation formula employs a calibration curve constructed by performing regression analysis with the dimensions of each part of the body, which are characteristic quantities of the body shape of a predetermined number of subjects, measured, the amount of sinking of each part of the subject's body when the subject actually lies supine on a bed mattress of each hardness, which is defined by different coil compression amounts, as the dependent variable, and the coil compression amount and the dimensions of each part of the body as explanatory variables. Furthermore, the estimation formulas include a male estimation formula and a female estimation formula, which are constructed based on the body dimensions of male and female subjects. The estimation unit 11 uses the estimation formula corresponding to the subject's gender to estimate the amount of sinking of each body part. 【0032】 Specifically, the estimation unit 11 uses the following estimation formulas. The derivation process of these estimation formulas will be described later, and only the derived results are shown here. <Estimation formula for men>: Back cushioning amount = 0.37 (back thickness) + 2.48 (buttock width) - 0.35 (coil compression) - 66.57 Lumbar sinking amount = 1.29 (buttock width) - 0.32 (coil compression) - 18.76 Buttock sinkage amount = -0.09 (back thickness) + 1.17 (buttock width) - 0.38 (coil compression) + 18.29 <Estimation formula for women>: Back compression amount = 0.13 (back thickness) + 0.51 (waist width) + 1.54 (hip width) - 0.27 (coil compression) - 0.48 (height) + 35.25 Lumbar sinking amount = 1.37 (buttock width) - 0.21 (coil compression) - 16.78 Hip sink amount = 1.75 (back width) + 0.96 (hip width) - 0.34 (coil compression) - 45.13 That is the case. 【0033】 The input / output unit 12 is an interface for exchanging data with external devices. The input / output unit 12 receives input data, such as estimation conditions including the hardness index value of the bed mattress and the characteristic quantities of the subject's body shape, which are necessary for the estimation unit 11 to perform estimation, from the measurement unit 13 (described later) or, for example, an input device 3 such as a keyboard. The input / output unit 12 also passes output data, such as the estimation results estimated by the estimation unit 11, to an output device 4 such as a display device such as a monitor, a printing device such as a printer, or a storage device such as a hard disk. 【0034】 The measurement unit 13 is a device or instrument capable of measuring the dimensions of various body parts, which are characteristic quantities of the subject's body shape. For example, in the bed mattress sinkage estimation system 1, a 3D image measuring device is employed. The 3D image measuring device used as the measurement unit 13 has a camera including a distance image sensor and, by imaging the back of a subject in a standing position, obtains contour data of the subject's back as shown in Figure 2. By calculating the width data shown in Figure 2 and the thickness data shown in Figure 3, the characteristic quantities of the subject's body shape can be measured non-contact. 【0035】 The bed mattress sinking amount estimation system 1 (selection support system 2) is primarily composed of a computer having a calculation unit and a memory unit. The computer functions as an estimation unit 11, a control unit 14, and a selection unit 21 (described later) by executing computer programs (bed mattress sinking amount estimation program, selection support program) implemented in the memory unit. 【0036】 (1-2. Configuration of the bed mattress selection support system 2 of the embodiment) Referring to Figure 4, the configuration of the bed mattress selection support system 2 of the embodiment will be described. 【0037】 The Bed Mattress Selection Support System 2 is a support system for users to select a bed mattress suitable for them. Based on the characteristic features of the user's body shape, it presents a bed mattress with a firmness appropriate for that user. The Bed Mattress Selection Support System 2 comprises the aforementioned Bed Mattress Sinking Amount Estimation System 1 for estimating the amount of sinking of each part of the user's body, and a Selection Unit 21 for selecting a bed mattress with a firmness that the user finds comfortable. In other words, the Bed Mattress Selection Support System 2 is a system in which a bed mattress selection function is added to the aforementioned Bed Mattress Sinking Amount Estimation System 1. The Bed Mattress Selection Support System 2 also requires an input / output unit for exchanging input / output data to display the selection results, a control unit for controlling the entire system, an input device for inputting appropriate values ​​for the bed mattress, and an output device for presenting the selected bed mattress to the user. These input / output unit, control unit, input device, and output device are shared with the input / output unit 12, control unit 14, input device 3, and output device 4 of the Bed Mattress Sinking Amount Estimation System 1. 【0038】 The bed mattress selection support system 2 has pre-set optimal firmness values ​​that subjects find comfortable, derived from experiments. Specifically, the optimal firmness values ​​that subjects find comfortable are set to be at least "hip sinking of 26.7 mm or more," and more preferably at least "hip sinking of 26.7 mm to 36.4 mm." The process for deriving these optimal firmness values ​​will be described later, and only the derived results are shown here. 【0039】 The selection unit 21 selects a bed mattress with a firmness that the subject will find comfortable to sleep on, by comparing the amount of hip sinkage estimated by the bed mattress sinkage estimation system 1 with a preset appropriate value for hip sinkage. Specifically, the selection unit 21 selects one or more bed mattresses that have a firmness index value such that the amount of hip sinkage estimated by the bed mattress sinkage estimation system 1 is between 26.7 mm and 36.4 mm. 【0040】 (1-3. Estimation formula and derivation process of the appropriate hardness value) Figure 5 is a schematic diagram of the bed system used in deriving the estimation formula and the optimal firmness value. Figure 6 is a graph showing the average comfort rating for each cluster. Below, we will detail the estimation formula used in the estimation unit 11 to estimate the amount of sinking of each part of the body, and the process of deriving the optimal firmness value that the subject finds comfortable, which is referenced in the selection unit 21. 【0041】 The bed system 5 shown in Figure 5 incorporates a total of 230 pocket coils 51 (hereinafter referred to as "coils 51") arranged in a grid of 10 horizontally and 23 vertically, and the hardness can be arbitrarily changed by changing the amount of compression of the coils 51. In this embodiment, in deriving the estimation formula and the appropriate hardness value, the index value of the hardness of the bed system 5 was set to one of the four types shown in Table 1. The bed system 5 is also equipped with a non-contact distance sensor that measures the displacement of each coil 51, and by measuring the displacement of each coil 51 when the subject lies supine on the bed system 5, the amount of sinking in each part of the body can be obtained as shown in Figure 1. [Table 1] 【0042】 First, in deriving the estimation formula, a 3D image measurement device, etc., used as the measurement unit 13 of the bed mattress sinkage estimation system 1, was used to non-contact measurement of characteristic body shapes of a predetermined number of subjects. Specifically, characteristic body shapes were measured in a standing position for 13 male subjects with a height of 170±7cm, weight of 64±10kg, and age of 36.5±15.8 years, and 11 female subjects with a height of 157±5cm, weight of 57±13kg, and age of 34.2±9.8 years. In addition, using the bed system 5, the amount of sinkage of each part of the body when the subjects lay supine for each hardness index value shown in Table 1 was measured. Then, using the measured amount of sinkage for each hardness index value as the dependent variable, and the characteristic body shapes and the compression amount of the coil 51 as independent variables, multiple regression analysis was performed separately for men and women using the variable addition / removal method (input / removal criterion p-value = 0.05), and the results in Tables 2 and 3 were obtained. [Table 2] [Table 3] 【0043】 From the results of this multiple regression analysis, the following estimation formula used in the estimation unit 11 was derived. <Estimation formula for men>: Back cushioning amount = 0.37 (back thickness) + 2.48 (buttock width) - 0.35 (coil compression) - 66.57 Lumbar sinking amount = 1.29 (buttock width) - 0.32 (coil compression) - 18.76 Buttock sinkage amount = -0.09 (back thickness) + 1.17 (buttock width) - 0.38 (coil compression) + 18.29 <Estimation formula for women>: Back compression amount = 0.13 (back thickness) + 0.51 (waist width) + 1.54 (hip width) - 0.27 (coil compression) - 0.48 (height) + 35.25 Lumbar sinking amount = 1.37 (buttock width) - 0.21 (coil compression) - 16.78 Hip sink amount = 1.75 (back width) + 0.96 (hip width) - 0.34 (coil compression) - 45.13 【0044】 Furthermore, to verify the accuracy of the estimation formula, we measured the characteristic features of body shape and the amount of sinking in a standing position in four male subjects (height 173±7cm, weight 61±7kg, age 21.5±0.6 years) and four female subjects (height 161±5cm, weight 50±6kg, age 21.5±0.6 years), who were different from the subjects used in the derivation of the estimation formula. We compared the measured values ​​with the estimated values ​​and obtained the results in Tables 4 and 5 below. In particular, the amount of sinking in the buttocks showed a small residual ratio, confirming that it could be estimated with high accuracy. Here, residual refers to the absolute value of the difference between the measured value and the estimated value. [Table 4] [Table 5] 【0045】 Next, in order to derive the appropriate hardness value, we used Bed System 5 and conducted sensory evaluations at each hardness index value shown in Table 1, as well as measuring the amount of sinking using the same method as above, on nine male subjects with a height of 172±6cm, weight of 61±8kg, and age of 22.4±1.0 years, and seven female subjects with a height of 159±5cm, weight of 51±6kg, and age of 22.0±1.1 years. 【0046】 To compare the results of the sensory evaluation by grouping them based on the amount of sinking, cluster analysis was performed with the amount of sinking and the sensory evaluation score as variables, and the average sensory evaluation score was calculated for each cluster. As a result of investigating the relationship between the amount of sinking and sleeping comfort, a relationship was confirmed between the amount of sinking of the buttocks and sleeping comfort, and the amount of sinking of the buttocks was classified into clusters 1 to 3. Specifically, cluster 1 was classified as a buttock sinking amount of 15.8 to 25.3 mm, cluster 2 as a buttock sinking amount of 26.7 to 36.4 mm, and cluster 3 as a buttock sinking amount of 36.5 to 48.7 mm. The results of the sensory evaluation of sleeping comfort for each cluster are shown in Figure 6. 【0047】 Furthermore, multiple comparisons using the Kruskal-Wallis method revealed a significant difference (p<0.01) between cluster 1 and clusters 2 and 3, indicating that a greater hip sinking depth than 26.7 mm is associated with a more comfortable sleeping experience. On the other hand, there is a research report (M. Aoi et.al., Evaluation of sleeping comfort of bed mattresses using Physiological and psychological response measurements, Kansei Engineering International Journal, 11(3), pp.163-169(2012)) stating that "sleep depth is deeper with firmer (less sinking) bed mattresses." For this reason, a hip sinking depth of 26.7-36.4 mm was set as the optimal firmness. 【0048】 By setting the appropriate firmness to a hip sinkage of 26.7 to 36.4 mm, and selecting recommended bed mattresses for the subjects (17 men and 15 women) used in the derivation of the above estimation formula and the verification of its accuracy, it is possible to select bed mattresses that each subject finds comfortable, as shown in Tables 6 and 7 below. [Table 6] [Table 7] 【0049】 (1-4. Method for supporting the selection of a bed mattress in an embodiment) Figure 7 is a flowchart showing the bed mattress selection support method of the embodiment. In the embodiment, the bed mattress selection support system 2 is used to support the selection of a bed mattress to a subject in the following manner. In the bed mattress selection support method of the embodiment, first, as a method for estimating the amount of sinking of the bed mattress, measurement step ST1, input step ST2, and estimation step ST3 are performed to estimate the amount of sinking of each part of the subject's body when the subject lies on a bed mattress for which a hardness index value indicating the degree of hardness is defined, based on the characteristic quantities of the subject's body shape. Furthermore, in the bed mattress selection support method, selection step ST4 and output step ST5 are performed to select a bed mattress with a hardness that the subject finds comfortable to sleep on, and the result is presented to the subject. In the following, the subject's body parts, the characteristic quantities of the subject's body shape, the measurement and estimation formula used when estimating the dimensions of each body part, the hardness index value of the bed mattress, and the appropriate value of the amount of sinking are the same as those described above for the system, so a detailed explanation of these contents is omitted. 【0050】 In measurement step ST1, the dimensions of various body parts, which are characteristic features of the body shape of a subject in a standing position, are measured non-contact using a 3D image measurement device equipped with a distance image sensor. 【0051】 In input step ST2, the body dimensions of each part of the subject, which are characteristic quantities of the subject's body shape measured in measurement step ST1, are input to the input / output unit 12 of the bed mattress selection support system 2 as input data for estimation conditions to be estimated in the next estimation step ST3. Input data such as the hardness index value and the appropriate value for the amount of sinkage of candidate bed mattresses are pre-entered and set in the bed mattress selection support system 2. 【0052】 In estimation step ST3, the amount of sinking of each part of the body when the subject lies supine on a bed mattress of each firmness is estimated using an estimation formula based on the firmness index value and the characteristic quantities of the subject's body shape. More specifically, in estimation step ST3, the amount of sinking of each part of the body when the subject lies supine on a bed mattress of each firmness is estimated using an estimation formula corresponding to the subject's gender, based on the coil compression amount which defines the firmness of the bed mattress as a pre-entered firmness index value and the dimensions of each part of the subject's body entered in input step ST2. 【0053】 In selection step ST4, a bed mattress with a firmness that the subject finds comfortable is selected by comparing the amount of hip sinkage estimated in estimation step ST3 with a predetermined appropriate value for hip sinkage. 【0054】 In output step ST5, the bed mattress with a firmness that the subject selected in selection step ST4 finds comfortable is presented to the subject via a display device such as a monitor or a printing device such as a printer. 【0055】 (1-5. Effects and Actions in Embodiments) The bed mattress sinkage estimation system 1 of the embodiment, the bed mattress selection support system 2 equipped with the bed mattress sinkage estimation system 1, the bed mattress sinkage estimation method of the embodiment, and the bed mattress selection support method including the bed mattress sinkage estimation method all estimate the amount of sinkage of each part of the body when a subject lies supine on a bed mattress of each firmness using an estimation formula that estimates the amount of sinkage of each part of the body on the bed mattress from hardness index values ​​and characteristic quantities of the subject's body shape. In these systems and methods, at least the back, waist, and buttocks are used as the parts of the subject's body, at least the width and thickness dimensions of each part of the body are used as characteristic quantities of the subject's body shape, and a calibration curve constructed by performing regression analysis with a predetermined number of subject body shape characteristic quantities and hardness index values ​​obtained in advance in correspondence with the parts of the subject's body shape characteristic quantities as explanatory variables is used as the estimation formula. In other words, these systems and methods utilize estimation formulas that have been thoroughly analyzed and derived in advance, allowing for the estimation of the amount of sinking of each part of the body into a bed mattress for each individual without requiring information about their weight. Therefore, these systems and methods can be used to suggest a suitable mattress based on the amount of sinking, even for those who are reluctant to disclose their weight. 【0056】 Furthermore, in these systems and methods, the information required to estimate the amount of sinking of the subject is the width and thickness dimensions of each part of the body. In other words, the information required to estimate the amount of sinking of the subject can be obtained even when the subject is standing, and can be obtained using equipment that does not require a large installation space, such as a 3D image measurement device. Therefore, by using these systems and methods, it is possible to propose a suitable mattress to the subject based on the amount of sinking, even without requiring a large space. 【0057】 Furthermore, this bed mattress selection support system 2 and this bed mattress selection support method can, at the very least, compare the estimated amount of hip sinkage with a preset appropriate value for hip sinkage, thereby selecting a bed mattress with a firmness that the subject finds comfortable. Based on the selected firmness index value, a suitable bed mattress can be proposed to the subject. 【0058】 Therefore, these systems and methods are highly usable as sales promotion tools and allow for the proposal of bed mattresses suitable for the target audience. 【0059】 [Other forms] Although the present invention has been described above based on the above embodiments, the present invention is not limited to the above embodiments. It can be implemented in various forms without departing from the spirit of the invention, and for example, the following modifications are also possible. 【0060】 (1) The number of components described in the above embodiment, the number of types of bed mattresses to be selected, the hardness index value of the bed mattress, the reaction force per coil, the number of coils in the bed system, the equipment for measuring the dimensions of each part of the body, the derived estimation formula, the derived appropriate value, the number of subjects and their body shape, cluster classification, etc., for which statistics were taken in advance to derive the estimation formula and appropriate value are examples and can be changed within the scope that does not impair the effects of the present invention. 【0061】 (2) In the embodiments described above, the dimensions of each body part input into the estimation formula of the bed mattress sinkage amount estimation system 1 are described as being measured by the measurement unit 13 provided in the bed mattress sinkage amount estimation system 1, but the present invention is not limited thereto. For example, the dimensions of each body part measured in advance by a measuring instrument separate from the bed mattress sinkage amount estimation system 1 may be input as parameters of the estimation formula. 【0062】 (3) In the embodiments described above, the purpose of use of the present invention is explained as being a sales promotion tool, but the present invention is not limited thereto. As long as it has the potential to be used for sales promotion, the present invention is also useful for other purposes, such as for research on sleep or for health management. [Explanation of symbols] 【0063】 1... Bed mattress sinking amount estimation system, 2... Bed mattress selection support system, 3... Input device, 4... Output device, 5... Bed system, 11... Estimation unit, 12... Input / output unit, 13... Measurement unit, 14... Control unit, 21... Selection unit, 51... Coil, ST1... Measurement step, ST2... Input step, ST3... Estimation step, ST4... Selection step, ST5... Output step

Claims

[Claim 1] A method for estimating the amount of sinking of a bed mattress, in which a subject lies on a bed mattress for which a hardness index value indicating the degree of hardness is defined, based on characteristic quantities of the subject's body shape, The subject's body parts include at least the back, waist, and buttocks. As characteristic quantities of the subject's body shape, at least the width and thickness dimensions of each part of the body are obtained. A computer device is prepared to store an estimation formula for estimating the amount of sinking of each part of the body in the bed mattress, which is constructed by performing a regression analysis using the characteristic features of the body shape of a predetermined number of subjects, obtained by pre-measuring in correspondence with the characteristic features of the subject's body shape, and the hardness index value as explanatory variables. A method for estimating the amount of sinking in a bed mattress, characterized by inputting the acquired characteristic quantities of the subject's body shape into the computer device, and having the computer device estimate the amount of sinking of each part of the body when the subject lies on the bed mattress of each hardness using the estimation formula based on the hardness index value and the characteristic quantities of the subject's body shape, and obtaining the estimation result. [Claim 2] A method for estimating the amount of sinking of a bed mattress, in which a subject lies on a bed mattress for which a hardness index value indicating the degree of hardness is defined, based on characteristic quantities of the subject's body shape, The hardness index value is determined by the amount of coil compression of the pocket coils embedded in the bed mattress, and the hardness of the bed mattress changes in accordance with the change in the amount of coil compression. As the amount of sinking in each part of the subject's body, the amount of sinking in the back (the part with the greatest sinking in the back), the amount of sinking in the waist (the part with the least sinking in the waist), and the amount of sinking in the buttocks (the part with the greatest sinking in the buttocks) were used, with the neck on the median sagittal plane as the reference point. As characteristic quantities of the subject's body shape, the following body dimensions were obtained: the width of the widest part of the back in a standing position, the width of the narrowest part of the waist, and the width of the widest part of the buttocks; and the thickness of the back, the thickest part of the back, the thickest part of the waist, and the thickest part of the buttocks, measured with the neck as the reference point on the median sagittal plane. A computer device is prepared to store an estimation formula that uses a calibration curve constructed by performing regression analysis, with each of the measured amounts of body compression and body dimensions as independent variables, to estimate the amount of body sinking into the bed mattress of the hardness defined by the coil compression amount, based on the coil compression amount and the dimensions of each body part. A method for estimating the amount of sinking in a bed mattress, characterized by including an estimation step of inputting the acquired characteristic quantities of the subject's body shape into the computer device, and having the computer device estimate the amount of sinking in each part of the subject's body when the subject lies supine in the bed mattress of each firmness using the estimation formula, based on the coil compression amount that defines the firmness of the bed mattress and the dimensions of each part of the subject's body, in order to obtain an estimation result. [Claim 3] In the method for estimating the amount of sinking of a bed mattress according to claim 2, further, A method for estimating the amount of sinking of a bed mattress, comprising a measurement step of measuring the dimensions of each body part, which are characteristic quantities of the body shape of the subject, prior to the estimation step. [Claim 4] In the method for estimating the amount of sinking of a bed mattress according to claim 3, The measurement step involves a method for estimating the amount of sinking of a bed mattress, in which the characteristic quantities of the body shape of the subject in a standing position are measured non-contact using a distance image sensor. [Claim 5] In the method for estimating the amount of sinking of a bed mattress according to claim 2, The computer device stores, as estimation formulas, male estimation formulas and female estimation formulas constructed based on the body dimensions of male and female subjects. A method for estimating the amount of sinking in a bed mattress, wherein the estimation step involves causing the computer equipment to estimate the amount of sinking in each part of the body using the estimation formula corresponding to the gender of the subject. [Claim 6] In the method for estimating the amount of sinking of a bed mattress according to claim 5, The firmness of the aforementioned bed mattress is, The coil compression amount is specified as 12 mm in order to achieve a reaction force of 4.1 N per pocket coil, which is equivalent to the firmness of a commercially available soft bed mattress. The coil compression amount is specified as 23 mm in order to achieve a reaction force of 6.2 N, which corresponds to the firmness of a commercially available, slightly soft bed mattress. The coil compression amount is specified as 29 mm in order to set the reaction force to 6.6 N, which corresponds to the hardness of a commercially available standard-hardness bed mattress. A method for estimating the amount of sinking of a bed mattress, wherein the coil compression amount is defined as 56 mm in order to set the reaction force to 8.4 N, which corresponds to the firmness of a commercially available firm bed mattress. [Claim 7] In the method for estimating the amount of sinking of a bed mattress according to claim 6, The aforementioned estimation formula for men is: Back cushioning amount = 0.37 (back thickness) + 2.48 (buttock width) - 0.35 (coil compression) - 66.57 Lumbar sinking amount = 1.29 (buttock width) - 0.32 (coil compression) - 18.76 Buttock sinkage amount = -0.09 (back thickness dimension) + 1.17 (buttock width dimension) - 0.38 (coil compression amount) + 18.29 And, The aforementioned estimation formula for women is, Back compression amount = 0.13 (back thickness) + 0.51 (waist width) + 1.54 (hip width) - 0.27 (coil compression) - 0.48 (height) + 35.25 Lumbar sinking amount = 1.37 (buttock width) - 0.21 (coil compression) - 16.78 Hip sink amount = 1.75 (back width) + 0.96 (hip width) - 0.34 (coil compression) - 45.13 A method for estimating the amount of sinking in a bed mattress. [Claim 8] A sinking amount estimation step in which the amount of sinking of each part of a subject's body is estimated using the bed mattress sinking amount estimation method described in any one of claims 1 to 7, At a minimum, the selection step involves comparing the estimated amount of hip sinking with a preset appropriate value for hip sinking to select a bed mattress with a firmness that the subject finds comfortable to sleep on, A method for supporting the selection of a bed mattress, characterized by including [a specific feature]. [Claim 9] A sinking amount estimation step in which the amount of sinking of each part of the subject's body is estimated using the bed mattress sinking amount estimation method described in claim 6 or 7, At a minimum, the selection step involves comparing the estimated amount of hip sinking with a preset appropriate value for hip sinking to select a bed mattress with a firmness that the subject finds comfortable to sleep on, Includes, A method for supporting the selection of a bed mattress, characterized in that the appropriate value for the amount of sinking of the buttocks is 26.7 mm or more. [Claim 10] In the bed mattress selection support method described in claim 9, A method for assisting the selection of a bed mattress, wherein the appropriate value for the amount of sinking of the buttocks is 26.7 mm to 36.4 mm. [Claim 11] A bed mattress sinkage estimation system that estimates the amount of sinkage of each part of a person's body when they lie on a bed mattress with a defined hardness index value indicating the degree of hardness, based on the characteristic quantities of the person's body shape, The system includes an estimation unit that estimates the amount of sinking of each part of the body in the bed mattress when the subject lies on the bed mattress of each firmness, using an estimation formula that estimates the amount of sinking of each part of the body in the bed mattress from the aforementioned firmness index value and the characteristic quantities of the subject's body shape. The aforementioned subjects' body parts include at least the back, waist, and buttocks. At least the width and thickness dimensions of each part of the subject's body are used as characteristic quantities of the subject's body shape. As the estimation formula, a calibration curve constructed by performing a regression analysis using the characteristic body shape values ​​of a predetermined number of subjects, obtained by pre-measuring in correspondence with the body shape characteristic values ​​of the subject, and the stiffness index value as explanatory variables is employed. A bed mattress sinking amount estimation system characterized by the following features. [Claim 12] A bed mattress sinkage estimation system that estimates the amount of sinkage of each part of a person's body when they lie on a bed mattress with a defined hardness index value indicating the degree of hardness, based on the characteristic quantities of the person's body shape, The system includes an estimation unit that estimates the amount of sinking of each part of the body in the bed mattress when the subject lies supine on the bed mattress, using an estimation formula that estimates the amount of sinking of each part of the body in the bed mattress based on the hardness index value and the dimensions of each part of the subject's body, The aforementioned hardness index value is determined by the amount of coil compression of the pocket coils embedded in the bed mattress, and the hardness of the bed mattress changes with changes in the amount of coil compression. As for the amount of sinking of each part of the subject's body, The following measurements were taken with the neck on the median sagittal plane as the reference point: the amount of back sinking at the point with the greatest sinking in the back, the amount of waist sinking at the point with the least sinking in the waist, and the amount of buttock sinking at the point with the greatest sinking in the buttocks. As characteristic quantities of the body shape of the subject, the dimensions of each body part are as follows: The width of the back at the widest point of the back in a standing position, the width of the waist at the narrowest point of the waist, and the width of the buttocks at the widest point of the buttocks, The thickness of the back at the thickest point, the thickness of the waist at the thickest point, and the thickness of the buttocks at the thickest point, all measured with the neck on the median sagittal plane as the reference point, are used. As the estimation formula, The dimensions of each body part, which are characteristic quantities of the body shape of a predetermined number of subjects, are measured. The amount of sinking of each part of the subject's body into each bed mattress of a different hardness defined by the different coil compression amounts is measured when the subject actually lies supine. A calibration curve constructed by performing regression analysis is employed, with the amount of sinking of each body part at each measured hardness as the dependent variable, and the coil compression amount and the dimensions of each body part as independent variables. A bed mattress sinking amount estimation system characterized by the following features. [Claim 13] In the bed mattress sinking amount estimation system according to claim 12, further, A bed mattress sinking amount estimation system comprising a measuring unit for measuring the dimensions of each body part, which are characteristic quantities of the subject's body shape. [Claim 14] In the bed mattress sinking amount estimation system according to claim 13, The measurement unit is a bed mattress sinking amount estimation system that includes a 3D image measurement device that non-contactively measures the characteristic quantities of the body shape of the subject in a standing position using a distance image sensor. [Claim 15] In the bed mattress sinking amount estimation system according to claim 13, The estimation formulas include a male estimation formula and a female estimation formula constructed based on the body part dimensions of male and female subjects. The estimation unit is a bed mattress sinking amount estimation system that estimates the amount of sinking of each part of the body using the estimation formula corresponding to the gender of the subject. [Claim 16] In the bed mattress sinking amount estimation system according to claim 15, The firmness of the aforementioned bed mattress is, The coil compression amount is specified as 12 mm in order to achieve a reaction force of 4.1 N per pocket coil, which is equivalent to the firmness of a commercially available soft bed mattress. The coil compression amount is specified as 23 mm in order to achieve a reaction force of 6.2 N, which corresponds to the firmness of a commercially available, slightly soft bed mattress. The coil compression amount is specified as 29 mm in order to set the reaction force to 6.6 N, which corresponds to the hardness of a commercially available standard-hardness bed mattress. A bed mattress sinking amount estimation system in which the coil compression amount is defined as 56 mm in order to set the reaction force to 8.4 N, which corresponds to the firmness of a commercially available firm bed mattress. [Claim 17] In the bed mattress sinking amount estimation system according to claim 16, The aforementioned estimation formula for men is: Back cushioning amount = 0.37 (back thickness) + 2.48 (buttock width) - 0.35 (coil compression) - 66.57 Lumbar sinking amount = 1.29 (buttock width) - 0.32 (coil compression) - 18.76 Buttock sinkage amount = -0.09 (back thickness dimension) + 1.17 (buttock width dimension) - 0.38 (coil compression amount) + 18.29 And, The aforementioned estimation formula for women is, Back compression amount = 0.13 (back thickness) + 0.51 (waist width) + 1.54 (hip width) - 0.27 (coil compression) - 0.48 (height) + 35.25 Lumbar sinking amount = 1.37 (buttock width) - 0.21 (coil compression) - 16.78 Hip sink amount = 1.75 (back width) + 0.96 (hip width) - 0.34 (coil compression) - 45.13 A system for estimating the amount of sinking in a bed mattress. [Claim 18] A bed mattress sinking amount estimation system according to any one of claims 11 to 17 for estimating the amount of sinking of each part of a subject's body, At a minimum, a selection unit selects a bed mattress of a firmness that the subject finds comfortable to sleep on by comparing the amount of hip sinkage estimated by the bed mattress sinkage estimation system with a preset appropriate value for hip sinkage, A bed mattress selection support system characterized by having the following features. [Claim 19] A bed mattress sinking amount estimation system according to claim 16 or 17 for estimating the amount of sinking of each part of a subject's body, At a minimum, a selection unit selects a bed mattress of a firmness that the subject finds comfortable to sleep on by comparing the amount of hip sinkage estimated by the bed mattress sinkage estimation system with a preset appropriate value for hip sinkage, Equipped with, A bed mattress selection support system in which the appropriate value for the amount of hip sinking is 26.7 mm to 36.4 mm. [Claim 20] A bed mattress sinkage estimation program, which is implemented on a computer and has hardness index values ​​indicating the degree of hardness defined in the computer, estimates the amount of sinkage of each part of the body of a subject when the subject lies on the bed mattress, based on the characteristic quantities of the subject's body shape, The hardness index value is determined by the amount of coil compression of the pocket coils embedded in the bed mattress, and the hardness of the bed mattress changes in accordance with the change in the amount of coil compression. As for the amount of sinking of each part of the subject's body, Using the neck on the median sagittal plane as the reference point, the amount of back sinkage at the point with the greatest sinkage, the amount of waist sinkage at the point with the least sinkage, and the amount of buttock sinkage at the point with the greatest sinkage were adopted. As characteristic quantities of the body shape of the subject, the dimensions of each body part are as follows: The width of the back at the widest point of the back in a standing position, the width of the waist at the narrowest point of the waist, and the width of the buttocks at the widest point of the buttocks, The thickness of the back at the thickest point of the back, the thickness of the waist at the thickest point of the lower back, and the thickness of the buttocks at the thickest point of the buttocks were measured using the neck on the median sagittal plane as the reference point, and these measurements were adopted. Based on the coil compression amount and the dimensions of each part of the body, the estimation formula for estimating the amount of sinking of each part of the body in the bed mattress with a hardness defined by the coil compression amount is as follows: The dimensions of each body part, which are characteristic quantities of the body shape of a predetermined number of subjects, are measured. The amount of sinking of each part of the subject's body into each bed mattress of a different hardness defined by the different coil compression amounts is measured when the subject actually lies supine. A calibration curve constructed by performing regression analysis with the amount of sinking of each body part at each measured hardness as the dependent variable, and the coil compression amount and the dimensions of each body part as independent variables, was adopted. A bed mattress sinkage estimation program characterized in that it causes the computer to estimate the amount of sinkage of each part of the body when the subject lies supine on the bed mattress of each hardness, using the estimation formula based on the coil compression amount that defines the hardness of the bed mattress and the dimensions of each part of the subject's body. [Claim 21] In the bed mattress sinking amount estimation program according to claim 20, Prior to estimating the amount of sinking of each part of the body when the subject lies on the bed mattress, the 3D image measuring device electrically connected to the computer is instructed to non-contactively measure the characteristic quantities of the subject's body shape in a standing position using a distance image sensor. A bed mattress sinking amount estimation program that causes the computer to take in the measured values ​​measured by the 3D image measuring device and sets the dimensions of each body part from the measured values. [Claim 22] In the bed mattress sinking amount estimation program according to claim 20, As the estimation formulas, we use estimation formulas for men and women constructed based on the body part dimensions of male and female subjects. A bed mattress sinking amount estimation program that causes the computer to estimate the amount of sinking of each part of the body using the estimation formula corresponding to the gender of the subject. [Claim 23] In the bed mattress sinking amount estimation program according to claim 22, The firmness of the aforementioned bed mattress is, The coil compression amount is set to 12 mm in order to achieve a reaction force of 4.1 N per pocket coil, which is equivalent to the firmness of a commercially available soft bed mattress. The coil compression amount is set to 23 mm in order to achieve a reaction force of 6.2 N, which is equivalent to the firmness of a commercially available, slightly soft bed mattress. The coil compression amount is specified as 29 mm in order to achieve a reaction force of 6.6 N, which corresponds to the hardness of a commercially available standard-hardness bed mattress. A bed mattress sinking amount estimation program in which the coil compression amount is specified as 56 mm in order to set the reaction force to 8.4 N, which corresponds to the firmness of a commercially available firm bed mattress. [Claim 24] In the bed mattress sinking amount estimation program described in claim 23, The aforementioned estimation formula for men is: Back cushioning amount = 0.37 (back thickness) + 2.48 (buttock width) - 0.35 (coil compression) - 66.57 Lumbar sinking amount = 1.29 (buttock width) - 0.32 (coil compression) - 18.76 Buttock sinkage amount = -0.09 (back thickness dimension) + 1.17 (buttock width dimension) - 0.38 (coil compression amount) + 18.29 And, The aforementioned estimation formula for women is, Back compression amount = 0.13 (back thickness) + 0.51 (waist width) + 1.54 (hip width) - 0.27 (coil compression) - 0.48 (height) + 35.25 Lumbar sinking amount = 1.37 (buttock width) - 0.21 (coil compression) - 16.78 Hip sink amount = 1.75 (back width) + 0.96 (hip width) - 0.34 (coil compression) - 45.13 A program for estimating the amount of sinking in a bed mattress. [Claim 25] A computer-based program for selecting a bed mattress suitable for a target individual, The program includes a bed mattress sinking amount estimation program as described in any one of claims 20 to 24, To the aforementioned computer, Using the bed mattress sinkage estimation program, the amount of sinkage of each part of the subject's body is estimated. At the very least, by comparing the estimated amount of hip sinking with a preset appropriate value for hip sinking, the subject is able to select a bed mattress with a firmness that they find comfortable to sleep on. A bed mattress selection support program characterized by the following features. [Claim 26] In the bed mattress selection support program described in claim 25, The aforementioned bed mattress selection support program sets the appropriate value for the amount of hip sinking to 26.7 mm to 36.4 mm.

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