Sizing system for wearable device

The sizing system for wearable devices addresses the lack of standardization by using a processor to determine accurate size ranges based on wearable device characteristics, enhancing user convenience and functional accuracy.

WO2025110691A1PCT designated stage expired Publication Date: 2025-05-30SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
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Patent Information

Application Number
PCT/KR2024/018342
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-11-22
Filing Date
2024-11-20
Publication Date
2025-05-30

AI Technical Summary

Technical Problem

There is no established size system for wearable devices, making it difficult for users to choose the appropriate size, which can affect the accuracy of function and comfort of wear.

Method used

A sizing system for wearable devices that includes a processor and memory to identify wearing portions and methods, derive necessary measurement values, and determine a size range and system based on these measurements and clothing size items.

Benefits of technology

The sizing system improves user convenience and ensures accurate function of wearable devices by establishing a standardized size system tailored to the characteristics of each device.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides a sizing system for a wearable device. The sizing system for a wearable device includes: a processor; and a memory operatively connected to the processor, wherein the memory stores instructions which, when executed, cause the processor to: identify a wearing portion and a wearing method of the wearable device; identify a necessary measurement item required for determining the size of the wearable device when a user wears the wearable device on the basis of the wearing portion and the wearing method; derive a measurement value for the necessary measurement item; and determine a size section and a size system for the wearable device on the basis of at least one of the necessary measurement item, the measurement value, and a clothing size-related item.
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Description

Sizing System for Wearable Devices

[0001] The present invention relates to a sizing system for wearable devices, and more particularly, to establishing a sizing system for wearable devices.

[0002] The content described in this section merely provides background information for the present embodiment and does not constitute prior art.

[0003] Demand for wearable devices has been increasing recently. Wearable devices can be worn in various locations on the human body as auxiliary devices. Therefore, wearable devices must function accurately and ensure the wearer's comfort and convenience. Consequently, accurate measurements are essential for the wearer's location.

[0004] However, despite the increasing demand for wearable devices, there is no established size system for wearable device wearers, making it difficult for wearers to choose which size of wearable device to use.

[0005] The purpose of the present invention is to provide a sizing system for a wearable device that can establish a size system necessary for determining the size based on the characteristics of the wearable device.

[0006] A sizing system for a wearable device according to an embodiment of the present invention includes a processor and a memory operatively connected to the processor, wherein the memory stores instructions that, when executed, cause the processor to identify a wearing portion and a wearing manner of the wearable device, identify necessary measurement items necessary for determining a size of the wearable device when a user wears the wearable device based on the wearing portion and the wearing manner, derive measurement values ​​for the necessary measurement items, and determine a size range and a size system for the wearable device based on at least one of the necessary measurement items, the measurement values, and items related to clothing sizes.

[0007] Additionally, the instructions cause the processor to identify a reference item among the required measurement items to determine the size range and size system based on at least one of the required measurement items, the measurement value, and the clothing size items, set a center size for the reference item based on the measurement value, and set a first size range for the reference item based on characteristics of the wearable device.

[0008] Additionally, the instructions cause the processor to identify the reference item among the required measurement items based on whether the item is related to a human body part that is highly correlated with determining the size of the wearable device, the wearing part of the wearable device, and whether existing sizes of the item related to clothing sizes can be used in determining the size system for the wearable device.

[0009] Additionally, the instructions cause the processor to set a size having a high first distribution rate of the user population of the wearable device as the center size based on the measurement value.

[0010] Additionally, the characteristics of the wearable device include whether the item regarding the clothing size is available and the wearing method.

[0011] Additionally, the instructions further cause the processor to identify an auxiliary item necessary for determining a size system of the wearable device, determine a correlation between the auxiliary item and the reference item, and set a second size range for the auxiliary item based on the correlation being greater than or equal to a reference value, wherein the second size range is the same as the first size range of the reference item.

[0012] Additionally, the instructions cause the processor to identify a second distribution ratio related to the auxiliary item for some users corresponding to the center size among the user population of the wearable device based on the correlation being less than the reference value, and to set a second size range of the auxiliary item based on the second distribution ratio.

[0013] Additionally, the instructions cause the processor to receive input including a body size of a user and, based on the input, identify a recommended size of the wearable device based on the size system.

[0014] Additionally, the instructions cause the processor to learn the size system for a sizing model, input an input including a user's body size into the sizing model, and receive a recommended size of the wearable device from the sizing model.

[0015] Additionally, the instructions cause the processor to train the sizing model by identifying a second size system for the second wearable device, or to train the sizing model based on feedback about the recommended size.

[0016] The sizing system for a wearable device of the present invention can improve the convenience of users of the wearable device and ensure that the functions of the wearable device operate accurately by establishing a size system necessary for determining the size based on the characteristics of the wearable device.

[0017] In addition to the above-described contents, the specific effects of the present invention are described together with the specific matters for carrying out the invention below.

[0018] FIG. 1 is a drawing for explaining a sizing system for a wearable device according to an embodiment of the present invention.

[0019] FIG. 2 is a flowchart illustrating the operation of a sizing system for a wearable device according to an embodiment of the present invention.

[0020] FIG. 3a and FIG. 3b are drawings for explaining step S100 of FIG. 1.

[0021] FIG. 4a and FIG. 4b are drawings for explaining step S110 of FIG. 2.

[0022] FIG. 5 and FIG. 6 are drawings for explaining step S120 of FIG. 2.

[0023] Figure 7 is a flowchart for explaining step S130 of Figure 2.

[0024] Figure 8a is a flowchart for explaining step S133 of Figure 7.

[0025] FIG. 8b is a drawing for explaining steps S135 and S136 of FIG. 7.

[0026] FIG. 9a and FIG. 9b are drawings for explaining step S1361 of FIG. 8b.

[0027] Figure 10 is a drawing for explaining step S140 of Figure 2.

[0028] Figure 11 is a drawing for explaining step S140 of Figure 2.

[0029] Figure 12 is a diagram for explaining the learning process of the sizing model of Figure 11.

[0030] The terms and words used in this specification and claims should not be interpreted based on their general or dictionary meanings. In accordance with the principle that inventors can define the concepts of terms and words to best describe their inventions, they should be interpreted in a way that is consistent with the technical concept of the present invention. Furthermore, the embodiments described in this specification and the configurations depicted in the drawings are merely examples of how the present invention can be realized and do not fully represent the technical concept of the present invention. Therefore, it should be understood that various equivalents, modifications, and applicable examples may exist as of the time of filing.

[0031] The terms first, second, A, B, etc. used in this specification and claims may be used to describe various components, but the components should not be limited by these terms. These terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component. The term "and / or" includes any combination of a plurality of related listed items or any item among a plurality of related listed items.

[0032] The terminology used in this specification and claims is for the purpose of describing specific embodiments only and is not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. It should be understood that terms such as "comprise" or "have" in this application do not preclude the presence or addition of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification.

[0033] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.

[0034] Terms defined in commonly used dictionaries should be interpreted as having meanings consistent with their meanings within the context of the relevant technology, and should not be interpreted in an idealized or overly formal sense unless explicitly defined herein. Furthermore, each component, process, procedure, or method included in each embodiment of the present invention may be shared within the scope of non-contradictory technical aspects.

[0035] Hereinafter, a sizing system for a wearable device according to an embodiment of the present invention will be described with reference to the drawings.

[0036]

[0037] FIG. 1 is a drawing for explaining a sizing system for a wearable device according to an embodiment of the present invention.

[0038] Referring to FIG. 1, a sizing system (100) for a wearable device includes a processor (110) and a memory (120).

[0039] A sizing system (100) for a wearable device may include a processor (110) and a memory (120). The sizing system (100) for a wearable device may include at least one additional component in addition to the components illustrated in FIG. 1. According to one embodiment, the components of the sizing system (100) for a wearable device may be the same entity or may constitute separate entities.

[0040] The memory (120) can store various data used by at least one component (e.g., a processor (110)) of the sizing system (100) for a wearable device. The data can include, for example, software (e.g., a program) and input data or output data for commands related thereto. The memory (120) can include volatile memory or non-volatile memory.

[0041] The memory (120) may store commands, information, or data related to the operations of components included in the sizing system (100) for a wearable device. For example, the memory (120) may store instructions that, when executed, enable the processor (110) to perform various operations described in this document.

[0042] The processor (110) may be operatively coupled to the memory (120) to perform the overall functions of the sizing system (100) for a wearable device. The processor (110) may include, for example, one or more processors. The one or more processors may include, for example, an image signal processor (ISP), an application processor (AP), or a communication processor (CP).

[0043] The processor (110) may, for example, execute software (e.g., a program) to control at least one other component (e.g., a hardware or software component) of the sizing system (100) for a wearable device connected to the processor (110) and perform various data processing or calculations. According to one embodiment, as at least a part of the data processing or calculation, the processor (110) may load a command or data received from another component (e.g., a communication module) into the memory (120), process the command or data stored in the memory (120), and store the resulting data in the memory (120). According to one embodiment, the processor (110) may include a main processor (e.g., a central processing unit or an application processor) and an auxiliary processor (e.g., a graphics processing unit, an image signal processor, a sensor hub processor, or a communication processor) that may operate independently or together therewith. Additionally or alternatively, the auxiliary processor may be configured to use less power than the main processor or to be specialized for a given function. The auxiliary processor may be implemented separately from the main processor or as part of it. The program may be stored as software in memory (120) and may include, for example, an operating system, middleware, or an application.

[0044]

[0045] FIG. 2 is a flowchart illustrating the operation of a sizing system for a wearable device according to an embodiment of the present invention.

[0046] Referring to FIGS. 1 and 2, the processor (110) of the sizing system (100) for a wearable device can identify the wearing portion and wearing method of the wearable device (S100).

[0047] The processor (110) can identify the wearing part of the wearable device for which a size system is to be established. The wearing part may include, for example, the head, torso, upper limbs, lower limbs, and the entire body.

[0048] The processor (110) can identify the wearing method of the wearable device. The wearing method may include, for example, whether the device is a hard type or a soft type. If the device is a hard type, the wearable device may be made of a hard material. If the device is a soft type, the wearable device may be made of a soft material.

[0049]

[0050] FIG. 3a and FIG. 3b are drawings for explaining step S100 of FIG. 1.

[0051] Referring to FIGS. 1, 2, 3a, and 3b, a wearable device (1) may be a target device for which a sizing system (100) for wearable devices seeks to establish a size system. The processor (110) may identify a wearing portion and a wearing method of the wearable device (1). For example, the processor (110) may identify that the wearable device (1) is worn on the wearer's lower body as illustrated in FIG. 3b as a wearing portion. The processor (110) may identify that the wearable device (1) is a hard type as a wearing method.

[0052]

[0053] Referring back to FIGS. 1 and 2 , the processor (110) can identify necessary measurement items (S110). For example, the processor (110) can identify necessary measurement items needed to determine the size of a wearable device when the user wears the device, based on the wearer's location and wearing method.

[0054] A required measurement item could be a body part whose size must be known, for example, to determine the size of a wearable device for the wearer.

[0055]

[0056] FIG. 4a and FIG. 4b are drawings for explaining step S110 of FIG. 2. To explain the required measurement items, the wearable device (1) illustrated in FIG. 3a and FIG. 3b is used as an example.

[0057] Referring to FIGS. 1, 2, 3a, 3b, 4a and 4b, in the case of the wearable device (1), since it is worn on the wearer's lower body and must be fixed above the knee, the necessary measurement items of the wearable device (1) may be waist circumference (M1), hip circumference (M2), center thigh circumference (M3) and length between the hip and knee (M4). When determining the size of the wearable device (1), the size of the wearable device (1) can be determined by comparing the size of the user who wishes to wear the wearable device (1) with the size of the necessary measurement items.

[0058] The processor (110) can identify necessary measurement items (M1, M2, M3, M4) based on the wearing part (e.g., lower limb) and wearing method (e.g., hard) of the wearable device (1).

[0059] The processor (110) may further identify landmarks necessary to identify measurement values ​​for each required measurement item. The landmarks may be, for example, parts of the wearer's body that need to be measured to determine the dimensions (e.g., measurement values) of the required measurement item.

[0060] For example, in order to identify a measurement value for waist circumference (M1) among the required measurement items of a wearable device (1), a first landmark (e.g., a point on the side of the waist (L1)) and a second landmark (e.g., a point in front of the waist (L2)) may be required.

[0061] For example, in order to identify a measurement value for the hip circumference (M2) among the required measurement items of the wearable device (1), a third landmark (e.g., the hip protrusion point (L3)) may be required.

[0062] For example, in order to identify a measurement value for the central thigh circumference (M3) among the required measurement items of the wearable device (1), a fourth landmark (e.g., front of the buttocks point), a fifth landmark (e.g., mid-patellar point (L4)), and a sixth landmark (e.g., mid-thigh point (L5)) may be required.

[0063] For example, in order to identify a measurement value for the hip-knee length (M4) among the required measurement items of the wearable device (1), a fourth landmark (e.g., front point of the hip) and a fifth landmark (e.g., midpoint of the kneecap (L4)) may be required.

[0064]

[0065] Referring back to FIGS. 1 and 2, the processor (110) can derive measurement values ​​for required measurement items (S120). Based on the required measurement items and landmarks, the processor (110) can set a shooting method and then derive measurement values ​​using a body size estimation algorithm for deriving measurement values.

[0066] The processor (110) can derive measurement values ​​by collecting data using a body size estimation algorithm using image data for a specific user group using a wearable device based on required measurement items and landmarks.

[0067]

[0068] FIG. 5 and FIG. 6 are drawings for explaining step S120 of FIG. 2.

[0069] Referring to FIGS. 1, 2, and 5, the processor (110) can set a shooting method based on required measurement items and landmarks. The processor (110) can identify a specific method including a shooting area, a shooting angle, and a shooting landmark as the shooting method.

[0070] For example, in the case of the wearable device (1) of FIGS. 3A and 3B, the processor (110) can identify the photographing area as the lower body below the waist based on the required measurement items and landmarks. In addition, the processor (110) can identify that the photographing angle is to be taken at a point at waist height (e.g., half the height of the wearer) in a vertical direction with respect to the ground, and that the angle of the photographing device is maintained vertically. Furthermore, the processor (110) can specify a range from the waist to the knees for the photographing landmarks.

[0071] The processor (110) can receive an image captured based on a shooting method based on required measurement items and landmarks. The processor (110) can derive measurement values ​​for required measurement items using a body size estimation algorithm based on the image.

[0072] Referring to FIGS. 1, 2, and 6, the processor (110) may first receive the user's first image and second image (S121). The first image and the second image may be images captured based on a shooting method based on required measurement items and landmarks.

[0073] The processor (110) may perform a preprocessing operation on the first image and the second image (S122). For example, an estimation module that executes a body size estimation algorithm may include a preprocessing module and an algorithm execution module. The first image and the second image may be preprocessed by the preprocessing module. As a result of the preprocessing, valid body width data may be determined.

[0074] The processor (110) can provide the effective body width data determined through preprocessing to a body size estimation algorithm execution module (S123). The processor (110) can estimate the user's body size using the effective body width data, thereby deriving measurement values ​​for required measurement items (S124).

[0075]

[0076] Referring again to FIGS. 1 and 2 , the processor (110) may determine a size range and size system for the wearable device (S130). The processor (110) may determine a size range and size system for the wearable device based on at least one of the required measurement items, measurement values, and clothing size items.

[0077] Items regarding clothing sizes may include values ​​for existing clothing size systems and key items for selecting clothing sizes (e.g., Size Korea data).

[0078] The processor (110) can identify size ranges for the wearable device to establish a size system for the wearable device. The size ranges can be appropriately determined for each wearable device based on whether the wearable device's wearing style and clothing size can be incorporated into the wearable device's size system.

[0079] A size interval can mean the size difference between items (e.g., required measurement items) centered around a first size (e.g., women's size 90 for clothing) and a second size (e.g., women's size 85 for clothing) that is smaller than the first size. Alternatively, a size interval can mean the size difference between items (e.g., required measurement items) centered around a first size (e.g., women's size 90 for clothing) and a third size (e.g., women's size 95 for clothing) that is larger than the first size.

[0080]

[0081] Figure 7 is a flowchart for explaining step S130 of Figure 2.

[0082] Referring to FIGS. 1, 2 and 7, the processor (110) can first identify a reference item among the required measurement items based on at least one of the required measurement items, measurement values ​​and clothing size items to determine the size range and size system (S131).

[0083] The processor (110) can identify a reference item among the required measurement items based on whether the item is related to a body part that is highly correlated with determining the size of the wearable device, the wearing part of the wearable device, and whether existing sizes of items related to clothing sizes can be used in determining a size system for the wearable device.

[0084] Whether an item is related to a body part that is highly correlated with determining the size of a wearable device may depend on whether the item is related to a body part that must be measured when determining the size based on the wearable device's wearing location. The more an item is related to a body part that must be measured when determining the size based on the wearable device's wearing method, the higher the correlation is likely to be.

[0085] The processor (110) can identify at least one item among the necessary measurement items that has a high correlation with determining the size of the wearable device, and determine whether existing sizes of the items related to the wearing portion of the wearable device and clothing size can be used.

[0086] In determining the size system for wearable devices, whether the existing size of the item regarding clothing sizes can be used may be whether it can be used as a replacement for the existing size system regarding clothing sizes.

[0087] For example, in the case of the wearable device (1) of FIGS. 3A and 3B, since it is worn on the lower body, the body parts that have a high correlation in determining the size of the wearable device (1) may be the waist and the hips. An item related to the waist size may be the waist circumference, and an item related to the hip size may be the hip circumference. In order to determine a reference item among the waist circumference and the hip circumference, the processor (110) may consider the characteristics of the device that fixes the waist based on the wearing area (i.e., the lower body) of the wearable device (1). In addition, in order to determine a reference item among the waist circumference and the hip circumference, the processor (110) may consider determining the size mainly based on the waist circumference rather than the hip circumference when determining the size of pants, which are generally clothes worn on the lower body. Based on this, the processor (110) can identify the waist circumference as a reference item among the necessary measurement items of the wearable device (1) (e.g., the necessary measurement items of FIGS. 4a and 4b).

[0088]

[0089] The processor (110) may set a center size for a reference item based on the measurement value (S132). The processor (110) may set a size having a first high distribution rate among a user group of the wearable device as the center size based on the measurement value for the reference item. For example, the processor (110) may set a size having the highest distribution rate (e.g., the first distribution rate) among a plurality of sizes related to the reference item as the center size, which has the largest number of corresponding users. For example, when the reference item is waist circumference, the sizes of waist circumference of a user group of the wearable device may include a first size, a second size, and a third size, and among them, the size having the largest number of corresponding users and the highest distribution rate may be the first size. The processor (110) may set the first size as the center size.

[0090] For example, in the case of the wearable device (1) of FIGS. 3A and 3B, the reference item may be waist circumference. Among the waist circumference sizes of the user group of the wearable device (1), the size with the highest distribution rate may be, for example, 83 cm (for men). This size (e.g., 83 cm for men) may be set as the central size of the reference item.

[0091]

[0092] The processor (110) may set a first size range of a reference item based on the characteristics of the wearable device (S133). The characteristics of the wearable device may include whether items related to clothing sizes are available and the wearing method. Whether items related to clothing sizes are available may be determined by whether items, size ranges, and sizes included in the clothing size system can be borrowed when determining the size system of the wearable device, and thus, whether there is a high correlation between the reference item and items related to clothing sizes.

[0093] If there is an item regarding a clothing size that is highly correlated with a reference item, the processor (110) may determine whether to borrow or not by considering the wearing method of the wearable device. For example, if the wearing method is a soft type, the processor (110) may determine that the size range and size related to the item regarding a clothing size that is highly correlated with the reference item can be borrowed. For example, in the case of a soft type wearable device, the size system may be determined by borrowing the size range (e.g., the difference value between the waist circumference of size 100, the waist circumference of size 95, and the waist circumference of size 105) and the size (e.g., the waist circumference of size 100, the waist circumference of size 95, and the waist circumference of size 105) of the item regarding a clothing size (e.g., waist circumference) that is highly correlated with the reference item (e.g., waist circumference).

[0094] For example, if the wearing method is a hard type, the processor (110) can set a separate section (e.g., a first size section). This is further explained with reference to FIG. 8a.

[0095]

[0096] Figure 8a is a flowchart for explaining step S133 of Figure 7.

[0097] Referring to FIGS. 1, 2, 7, and 8, the processor (110) can first determine whether the correlation between the standard item and the item regarding clothing size is greater than or equal to a first standard value in order to set a size range for the standard item (S1331).

[0098] The processor (110) can determine a correlation by determining whether an item of clothing size related to a reference item can be applied to the wearable device based on the way the wearable device is worn.

[0099] If the processor (110) determines that the correlation between the standard item and the item related to clothing size is greater than or equal to the first standard value (Y in S1331), the processor (110) can apply the item related to the existing clothing size and the size range of the existing clothing size system to the standard item (S1332).

[0100] For example, the processor (110) can apply the waist circumference and the size range of the waist circumference (e.g., x cm to y cm, where x and y are natural numbers and x is smaller than y) that are items related to existing clothing sizes to the waist circumference, which is a standard item of a soft-type wearable device. For example, in the case of a soft-type wearable device in which the standard item is the waist circumference and the center size is 83 cm for men, the size range can be set to, for example, 4 cm according to the items related to existing clothing sizes and the size range. In this case, the processor (110) can determine a size system for the standard item (e.g., waist circumference), in which the first size is a waist circumference of 81 cm to 85 cm, the second size is a waist circumference of 77 cm to 81 cm, and the third size is a waist circumference of 85 cm to 89 cm. This relates to the above soft type wearable device, and a different size system may be determined for other soft type wearable devices, for example.

[0101]

[0102] If the processor (110) determines that the correlation is less than the first reference value (N in S1331), the processor (110) may set a first size range of the reference item based on the wearing method of the wearable device (S1333). The processor (110) may determine a size system of the reference item including the remaining sizes for the reference item based on the first size range, with the center size as the center (S1334).

[0103] For example, the processor (110) may set the first size range of a reference item (e.g., waist circumference) to z cm (where z is a natural number) based on the fact that the wearable device (the wearable device (1) of FIGS. 3A and 3B) is a hard type. For example, in the case of a hard type wearable device (1) in which the reference item is the waist circumference and the center size is 83 cm for men, the first size range may be subdivided into 3 cm or less. For example, when the first size range is 3 cm, the processor (110) may determine a size system for the reference item (e.g., waist circumference) in which the first size is set as a waist circumference of 81.5 cm to 84.5 cm, the second size is set as a waist circumference of 78.5 cm to 81.5 cm, and the third size is set as a waist circumference of 84.5 cm to 87.5 cm. This relates to wearable devices (1), and even if they are the same hard type, different size systems may be determined for different wearable devices.

[0104]

[0105] Referring back to FIGS. 1, 2, and 7, the processor (110) can identify auxiliary items that are different from the reference items (S134). The auxiliary items may be included in the required measurement items or may not be included in the required measurement items. Even if the auxiliary items are not required measurement items, they may be helpful in determining the size of the wearable device, considering the wearable device's wearing area. The processor (110) can identify the auxiliary items by considering at least one of the wearable device's wearing area, the device's connection structure, and the wearing method.

[0106] For example, since the wearable device (1) of FIGS. 3A and 3B is worn on the wearer's lower extremities, it can be determined that there is a correlation with height. For example, the processor (110) can identify height as an auxiliary item by considering that the wearable device (1) is worn on the lower extremities, and that it is worn around the waist and the center of the thigh, and that the waist and center of the thigh are connected by non-adjustable hardware.

[0107] For example, since the wearable device (1) of FIGS. 3A and 3B is worn on the wearer's lower body, it can be determined that there is a correlation with the central thigh circumference among the necessary measurement items. For example, the processor (110) can identify the central thigh circumference among the necessary measurement items as an auxiliary item, considering that the wearable device (1) is worn on the lower body and measures the central thigh circumference together with the waist circumference, and the waist and central thigh portions are connected by non-adjustable hardware.

[0108]

[0109] The processor (110) may set a second size range for the auxiliary item (S135). The second size range for the auxiliary item may be the same as or different from the first size range for the reference item. The processor (110) may determine the second size range for the auxiliary item based on the correlation between the auxiliary item and the reference item.

[0110] The processor (110) can determine a size system for a wearable device including a reference item and an auxiliary item (S136).

[0111]

[0112] The size system may include, for example, a size system for each required measurement item in addition to the standard item and the auxiliary item.

[0113] In some embodiments, the processor (110) may determine a size system by applying the first size range of the standard item to items that do not correspond to the standard item and auxiliary item among the required measurement items.

[0114] In some embodiments, the processor (110) may identify a correlation between an item among the required measurement items that does not correspond to the standard item and the auxiliary item and the standard item, and if the correlation is greater than or equal to the standard value, apply a first size range. If the correlation between an item among the required measurement items that does not correspond to the standard item and the auxiliary item and the standard item is less than or equal to the standard value, the processor (110) may apply a separate size range that is different from the first size range. The correlation may relate to, for example, how high a correlation is between the standard item and the item. For example, since the standard item waist circumference is highly correlated with the item hip circumference, the correlation may be determined to be greater than or equal to the standard value. For example, since the standard item waist circumference is not highly correlated with the item length between the hip and the knee, the correlation may be determined to be less than the standard value.

[0115]

[0116] FIG. 8b is a drawing for explaining steps S135 and S136 of FIG. 7.

[0117] Referring to FIGS. 1, 2, 7 and 8b, the processor (110) can first determine whether the correlation between the auxiliary item and the reference item is greater than or equal to the second reference value in order to set a second size range, which is a size range for the auxiliary item (S1351).

[0118] The processor (110) can determine the degree of correlation between the auxiliary item and the reference item by judging the correlation between the auxiliary item and the reference item. For example, if the size of the auxiliary item can be inferred from the size of the reference item, the processor (110) can determine that the correlation is greater than or equal to a second reference value.

[0119] If the processor (110) determines that the correlation between the auxiliary item and the reference item is greater than or equal to the second reference value (Y in S1351), the processor (110) may apply the first size range, which is the size range of the reference item, to the auxiliary item (S1352). For example, the processor (110) may identify the correlation between the auxiliary item and the reference item based on whether the size of the auxiliary item can be inferred from the size of the reference item.

[0120] For example, the processor (110) can identify a correlation between the waist circumference, which is a reference item of the wearable device (1) of FIGS. 3A and 3B, and the thigh center circumference, which is identified as an auxiliary item. Based on the fact that the thigh center circumference size can be inferred from the waist circumference size, the processor (110) can identify that the correlation between the waist circumference and the thigh center circumference is greater than or equal to a second reference value. Based on the fact that the correlation between the waist circumference and the thigh center circumference is greater than or equal to the second reference value, the processor (110) can apply a first size range to the thigh center circumference, which is an auxiliary item.

[0121] The processor (110) can determine a size system for the auxiliary item according to the first size range based on the size of the auxiliary item (e.g., the circumference of the center of the thigh) that is most widely distributed among the user group of the wearable device.

[0122]

[0123] If the processor (110) determines that the correlation between the auxiliary item and the reference item is less than the second reference value (N in S1351), the processor (110) can set the second size range of the auxiliary item based on the second distribution ratio (S1353).

[0124] The processor (110) may identify, among the user population of the wearable device, some users corresponding to the central size of the reference item. The processor (110) may identify a second distribution ratio related to the auxiliary item for some users. The second distribution ratio may be related to how some users corresponding to the central size of the reference item are distributed across each size of the auxiliary item.

[0125] For example, the processor (110) can identify some users corresponding to the central size (e.g., male 83 cm) among the user group of the wearable device (1) of FIGS. 3A and 3B. The processor (110) can identify a second distribution ratio related to the auxiliary item, height, for some users. For example, the processor (110) can identify, as the second distribution ratio, that some users corresponding to the central size (e.g., male 83 cm) are most distributed around the average height, followed by those with a height smaller than the average and those with a height larger than the average.

[0126] The processor (110) may set a second size range based on a second distribution ratio for the auxiliary item. For example, the processor (110) may set a second size range including keys that are smaller than the average, keys that are average, and keys that are larger than the average for the auxiliary item key.

[0127]

[0128] The processor (110) can determine a size system for a wearable device, including a size system of a reference item based on a first size range and a size system of an auxiliary item based on a second size range (S1361).

[0129]

[0130] FIG. 9a and FIG. 9b are drawings for explaining step S1361 of FIG. 8b.

[0131] If the second size range of the auxiliary item is the same as the first size range, the processor (110) can determine a size system for the wearable device (e.g., the wearable device (1) of FIGS. 3A and 3B), as illustrated in FIG. 9A.

[0132] If the second size range of the auxiliary item is different from the first size range, the processor (110) may determine a size system for the wearable device (e.g., the wearable device (1) of FIGS. 3A and 3B), as illustrated in FIG. 9B.

[0133]

[0134] Referring again to FIGS. 1 and 2, the processor (110) can recommend a size for the wearable device based on the determined size system (S140).

[0135] The processor (110) can receive input including the body size of a user who wishes to wear a wearable device. The processor (110) can identify a recommended size of the wearable device based on the determined size system based on the received input.

[0136]

[0137] Figure 10 is a drawing for explaining step S140 of Figure 2.

[0138] Referring to FIGS. 1, 2, and 10, an input including a body size of a user who wishes to wear a wearable device may be received by a sizing system (100) for a wearable device. The processor (110) may identify a recommended size of the wearable device based on the input based on a determined size system.

[0139] For example, in the example of FIG. 9b, if the user's waist circumference is within the range a to b and the height falls within the tall range, the processor (110) may recommend size S32.

[0140]

[0141] Figure 11 is a drawing for explaining step S140 of Figure 2.

[0142] Referring to FIGS. 1, 2, and 11, in some embodiments, the processor (110) may recommend a size using the sizing model (200). The processor (110) may train the sizing model (200) on a determined size system. Based on the input including the body size of a user who wishes to wear the wearable device, the processor (110) may transmit the input to the sizing model (200). The processor (110) may receive a recommended size according to the input from the sizing model (200) on which the size system has been trained.

[0143] Figure 12 is a drawing for explaining the learning process of the sizing model (200) of Figure 11.

[0144] Referring to FIGS. 1, 2, 11, and 12, when the processor (110) recommends a size using a sizing model (200) in which a size system has been learned, the processor (110) can further train the sizing model (200).

[0145] For example, the processor (110) may determine a second size system for a new wearable device and have the sizing model (200) learn the second size system for the new wearable device. Alternatively, the processor (110) may train the sizing model based on feedback regarding recommended sizes. For example, the processor (110) may modify an existing size system based on feedback regarding recommended sizes.

[0146]

[0147] A sizing system for a wearable device according to an embodiment of the present invention can establish an accurate sizing system and recommend sizes by determining a sizing system for a specific wearable device based on the characteristics of the wearable device. Furthermore, the sizing system for a wearable device according to an embodiment of the present invention can improve usability and promote user convenience by enabling the establishment of a sizing system for wearable devices of various shapes and methods.

[0148]

[0149] The above description is merely an example of the technical idea of ​​the present embodiment, and those skilled in the art will appreciate that various modifications and variations can be made without departing from the essential characteristics of the present embodiment. Therefore, the present embodiments are not intended to limit the technical idea of ​​the present embodiment, but rather to explain it, and the scope of the technical idea of ​​the present embodiment is not limited by these embodiments. The scope of protection of the present embodiment should be interpreted by the claims below, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of rights of the present embodiment.

Claims

1. In a sizing system for wearable devices, processor; and comprising a memory operatively connected to said processor; The above memory, when executed, causes the processor to: Identify the wearing location and wearing method of the wearable device, Based on the above-mentioned wearing area and wearing method, the necessary measurement items required to determine the size of the wearable device are identified when the user wears the wearable device. Derive measurement values ​​for the above required measurement items, Storing instructions for determining a size range and size system for the wearable device based on at least one of the above required measurement items, the measurement value and the clothing size items. A sizing system for wearable devices.

2. In paragraph 1, The above instructions cause the processor to: To determine the size range and size system based on at least one of the above required measurement items, the above measurement values ​​and the above clothing size items, Among the above required measurement items, identify the standard items, Based on the above measurements, the center size for the above reference item is set, To set the first size range of the above criteria based on the characteristics of the above wearable device. A sizing system for wearable devices.

3. In paragraph 2, The above instructions cause the processor to: Identifying the reference item among the required measurement items based on whether the item is related to a human body part that is highly correlated with the determination of the size of the wearable device, the wearing part of the wearable device, and whether the existing size of the item related to the clothing size can be used in determining the size system for the wearable device. A sizing system for wearable devices.

4. In paragraph 2, The above instructions cause the processor to: Based on the above measurement values, the size with the highest first distribution rate of the user group of the wearable device is set as the center size. A sizing system for wearable devices.

5. In paragraph 2, The characteristics of the above wearable device include whether the item regarding the clothing size is available, and the wearing method. A sizing system for wearable devices.

6. In paragraph 2, The above instructions cause the processor to: Further identifying auxiliary items necessary for determining the size system of the above wearable device, Determine the correlation between the above auxiliary items and the above standard items, Based on the above correlation being greater than the reference value, a second size range is set for the above auxiliary items, The above second size range is the same as the above first size range of the above standard item. A sizing system for wearable devices.

7. In paragraph 6, The above instructions cause the processor to: Based on the above correlation being below the above criterion, For some users corresponding to the central size among the user group of the wearable device, a second distribution ratio related to the auxiliary item is identified, To set the second size range of the auxiliary item based on the second distribution ratio. A sizing system for wearable devices.

8. In paragraph 1, The above instructions cause the processor to: Receive input containing the user's body size, For the above input, identify the recommended size of the wearable device based on the above size system. A sizing system for wearable devices.

9. In paragraph 1, The above instructions cause the processor to: We train the above sizing system on the sizing model, Inputting an input including the user's body size into the sizing model and receiving a recommended size of the wearable device from the sizing model. A sizing system for wearable devices.

10. In paragraph 9, The above instructions cause the processor to: Identifying a second size system for a second wearable device and training the sizing model, or Train the sizing model based on feedback on the above recommended sizes. A sizing system for wearable devices.

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