# US 2021/0241352 A1 · Systems and Methods for Image-Based Disposable Article Sizing > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2021/0241352 A1 - Document ID: US20210241352A1 - Status: Published application - Kind: A1 - Application number: 16/927,069 - Filed: 2020-07-13 - Published: 2021-08-05 - Earliest claimed: 2020-01-31 - Assignees: The Procter & Gamble Company - Applicants: The Procter & Gamble Company - Inventors: Scott K. Stanley; Andrew P. Rapach; Andrew J. Sauer; Alexander E. Unger - Web page: https://patentgrep.com/patent/US20210241352A1 ## CPC - G06Q 30/0631: {Recommending goods or services} - A61F 13/472: specially adapted for female use - A61F 13/49: specially adapted to be worn around the waist, e.g. diapers or nappies - A61F 13/496: in the form of pants or briefs - G06N 20/00: Machine learning - G06Q 10/087: Inventory or stock management, e.g. order filling, procurement or balancing against orders - G06Q 10/08741: {by picking of items from inventory for fulfillment} - G06Q 10/109: Time management, e.g. calendars, reminders, meetings or time accounting - G06Q 30/0621: {by configuring or customising goods or services} - G06Q 30/0643: {graphically representing goods, e.g. 3D product representation} - G06T 7/60: Analysis of geometric attributes - G06T 7/62: of area, perimeter, diameter or volume - G16H 10/20: for electronic clinical trials or questionnaires - G16H 30/20: for handling medical images, e.g. DICOM, HL7 or PACS - G16H 30/40: for processing medical images, e.g. editing - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 50/30: for calculating health indices; for individual health risk assessment - G06T 2207/30196: Human being; Person - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - A61F: FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS (dental prosthetics A61C) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract Systems and methods for recommending a size of disposable article to be worn by a subject are provided. An image of the subject is analyzed to determine the subject's fit parameters. The fit parameters are applied to sizing models of various disposable articles. ## Claims ### Claim 1 A computer-based method, comprising: storing, by a disposable article recommendation computing system in data store, a plurality of disposable article sizing models that correspond to respective plurality of pre-made disposable articles available for purchase; receiving, by the disposable article recommendation computing system, an image collected by at least one camera, wherein the image comprises a representation of a subject and the subject is a consumer of pre-made disposable articles; determining, by the disposable article recommendation computing system, a scale of the image that correlates dimensions of the representation of the subject in the image to physical dimensions of the subject; determining, by the disposable article recommendation computing system, physical attributes of the representation of the subject in the image; based on the scale of the image and the physical attributes of the representation of the subject, determining, by the disposable article recommendation computing system, a plurality of fit parameters for the subject; applying, by the disposable article recommendation computing system, the plurality of fit parameters to one or more of the plurality of disposable article sizing models; based on the application of the plurality of fit parameters to the one or more of the plurality of disposable article sizing models, determining, by the disposable article recommendation computing system, a recommended pre-made disposable article for the subject, wherein the recommended pre-made disposable article is selected from the plurality of pre-made disposable articles available for purchase; and providing, by the disposable article recommendation computing system, an indication of the recommended pre-made disposable article for the subject. ### Claim 2 (depends on 1) The computer-based method of claim 1, wherein the recommended pre-made disposable article for the subject comprises any of a recommended standard size of a pre-made disposable article, a recommended product line of a pre-made disposable article, and a recommended style of pre-made disposable article. ### Claim 3 (depends on 1) The computer-based method of claim 1, wherein the image comprises a scale object positioned proximate to the representation of the subject. ### Claim 4 (depends on 3) The computer-based method of claim 3, wherein the physical dimensions of the scale object in the image are known to the disposable article recommendation computing system. ### Claim 5 (depends on 1) The computer-based method of claim 1, wherein determining the scale of the image comprises determining an X direction scale and a Y direction scale. ### Claim 6 (depends on 1) The computer-based method of claim 1, further comprising: prior to determining the plurality of fit parameters, processing, by the disposable article recommendation computing system, the image to account for a perspective angle between the subject and the at least one camera. ### Claim 7 (depends on 1) The computer-based method of claim 1, wherein the physical attributes comprise a plurality of joint locations of the subject. ### Claim 8 (depends on 7) The computer-based method of claim 7, wherein the plurality of joint locations of the subject are determined based at least partially on a machine learning model. ### Claim 9 (depends on 1) The computer-based method of claim 1, wherein the physical attributes comprise a distance between detected aspects of the representation of the subject in the image. ### Claim 10 (depends on 1) The computer-based method of claim 1, wherein the physical attributes comprise any of a length, a width, an area, and a volume of an aspect of the representation of the subject in the image. ### Claim 11 (depends on 1) The computer-based method of claim 1, wherein the plurality of fit parameters are based on correlations to one or more of the physical attributes of the subject. ### Claim 12 (depends on 1) The computer-based method of claim 1, wherein the physical attributes comprise any of a head width, an eye separation distance, a torso length, a hip width, and a shoulder width. ### Claim 13 (depends on 1) The computer-based method of claim 1, wherein the fit parameters comprise any of an estimated waist circumference of the subject, an estimated thigh circumference of the subject, and an estimated rise measurement of the subject. ### Claim 14 (depends on 13) The computer-based method of claim 13, wherein each of the plurality of disposable article sizing models comprises a waist circumference range, a thigh circumference range, and a rise measurement range. ### Claim 15 (depends on 14) The computer-based method of claim 14, wherein applying the plurality of fit parameters to one or more of the plurality of disposable article sizing models comprises determining, for each respective disposable article sizing model, whether the estimated waist circumference is within the waist circumference range, the estimated thigh circumference is within the thigh circumference range, and the estimated rise measurement is within the rise measurement range. ### Claim 16 (depends on 15) The computer-based method of claim 15, wherein the recommended pre-made disposable article for the subject is one of a plurality of different pre-made disposable articles that are determined to be sized for the subject. ### Claim 17 (depends on 1) The computer-based method of claim 1, further comprising: receiving, by the disposable article recommendation computing system, one or more user supplied values. ### Claim 18 (depends on 17) The computer-based method of claim 17, wherein the user supplied values comprise any of an age of the subject, a weight of the subject, a race of the subject, a gender of the subject, a height of the subject, a gestational age of the subject at birth, and a head circumference of the subject. ### Claim 19 (depends on 17) The computer-based method of claim 17, further comprising: determining, by the disposable article recommendation computing system, a disposable article consumption prediction; and providing, by the disposable article recommendation computing system, the disposable article consumption prediction. ### Claim 20 (depends on 19) The computer-based method of claim 19, wherein the disposable article consumption prediction is based on one or more of the user supplied values. ### Claim 21 (depends on 20) The computer-based method of claim 20, wherein the disposable article consumption prediction is based on one or more of the user supplied values and one or more of the determined physical attributes. ### Claim 22 (depends on 19) The computer-based method of claim 19, wherein the disposable article consumption prediction comprises an estimated number of the recommended pre-made disposable articles to be used by the subject. ### Claim 23 (depends on 19) The computer-based method of claim 19, wherein the disposable article consumption prediction is associated with any of a product, a product size, and a product lineup. ### Claim 24 (depends on 19) The computer-based method of claim 19, wherein the disposable article consumption prediction comprises an estimated amount of time the recommended pre-made disposable article will fit the subject. ### Claim 25 (depends on 19) The computer-based method of claim 19, further comprising: sending, by the disposable article recommendation computing system, a purchase reminder notification to a remote computing device based on the disposable article consumption prediction.