IP Library › Granted Patent US 12,518,307
Granted Patent B1
US 12,518,307 · App. 17/992,632 · Granted Jan 6, 2026

Human body scanning for size recommendation

Inventors: Nenad Zivic (Zurich, CH); Fabio Cappello (Zurich, CH); Alexandru-Eugen Ichim (Ruschlikon, CH); Christina Sheeva Tanouye (Zurich, CH); Nebojsa Andelkovic (Zurich, CH); Aleksei Sidnev (Zurich, CH); Ferran Rigual Aparici (Adliswil, CH); Gabriela Evrova (Zurich, CH); Carlos Chacon Navarro (Munich, DE); Artslom Sanakoyeu (Zurich, CH); Arman Ozgun (Hicksville, NY); Ana Dodik (Zürich, CH)
Assignee: Meta Platforms Technologies, LLC
G06Q30/0627G06Q30/0643G06T7/62G06T2207/30196
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,518,307
App. No.
17/992,632
Granted
Jan 6, 2026
Kind
B1
Abstract

Methods, systems, and storage media for human body scanning for size recommendation are disclosed. Exemplary implementations may: receive a request to perform a self-guided body scan; in response to receiving the request, initiate a body scanning process comprising at least a front scan and a side scan; receive the front scan and the side scan; generate a size recommendation based at least in part on the front scan and the side scan; and cause display of the size recommendation through a user interface.

Claims (58)

1 . A computer-implemented method for human body scanning for size recommendation, comprising:

receiving a request to perform a self-guided body scan for a user;

in response to receiving the request:

generating a user interface for a body scanning process, the user interface comprising a scan sequence indicator including milestone user interface elements, the milestone user interface elements indicating corresponding actions to be taken by the user, the actions including at least a front scan and a side scan;

initiating the body scanning process comprising at least the front scan and the side scan as prompted by the scan sequence indicator; and

updating the user interface, as the actions are taken by the user, including passing the corresponding milestone user interface elements across a midpoint of the scan sequence indicator, the midpoint corresponding to a current action of the body scanning process;

upon completion of the body scanning process, receiving the front scan and the side scan;

generating a size recommendation based at least in part on the front scan and the side scan; and

causing display of the size recommendation through the user interface.

2 . The method of claim 1 , further comprising:

generating a preview comprising an item of clothing based on the size recommendation.

3 . The method of claim 1 , further comprising:

receiving a selection of clothing to virtually try on.

4 . The method of claim 1 , further comprising:

storing the size recommendation.

5 . The method of claim 1 , wherein the self-guided body scan is performed by the user.

6 . The method of claim 1 , wherein the size recommendation comprises a waist size or a leg length size.

7 . The method of claim 1 , further comprising:

receiving a request to purchase an item of clothing based on the size recommendation.

8 . The method of claim 1 , wherein machine-learning is utilized in the body scanning process.

9 . The method of claim 1 , further comprising:

virtually trying on clothing based on the size recommendation.

10 . The method of claim 9 , wherein the clothing is available in one or more of various sizes, various styles, various fits, and/or various brands.

11 . A system configured for human body scanning for size recommendation, the system comprising:

one or more hardware processors configured by machine-readable instructions to:

receive a selection of clothing to virtually try on;

receive a request to perform a self-guided body scan for a user;

in response to receiving the request:

generate a user interface for a body scanning process, the user interface comprising a scan sequence indicator including milestone user interface elements, the milestone user interface elements indicator corresponding actions to be taken by the user, the actions including at least a front scan and a side scan;

initiate the body scanning process comprising at least the front scan and the side scan as prompted by the scan sequence indicator; and

update the user interface, as the actions are taken by the user, including passing the corresponding milestone user interface elements across a midpoint of the scan sequence indicator, the midpoint corresponding to a current action of the body scanning process;

upon completion of the body scanning process, receive the front scan and the side scan;

generate a size recommendation based at least in part on the front scan and the side scan;

cause display of the size recommendation through the user interface; and

store the size recommendation.

12 . The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to:

generate a preview comprising an item of clothing based on the size recommendation.

13 . The system of claim 11 , wherein the body scanning process includes a pre-scan sequence of application views.

14 . The system of claim 13 , wherein the pre-scan sequence of application views provides instructions on how to perform a self-guided body scan.

15 . The system of claim 11 , wherein the self-guided body scan is performed by the user.

16 . The system of claim 11 , wherein the size recommendation comprises a waist size or a leg length size.

17 . The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to:

receive a request to purchase an item of clothing based on the size recommendation.

18 . The system of claim 11 , wherein machine-learning is utilized in the body scanning process, and wherein the clothing is available in one or more of various sizes, various styles, various fits, and/or various brands.

19 . The system of claim 11 , wherein the one or more hardware processors are further configured by machine-readable instructions to:

virtually try on clothing based on the size recommendation.

20 . A non transitory computer-readable storage medium having instructions embodied thereon, the instructions being executable by one or more processors to perform a method for human body scanning for size recommendation, the method comprising:

receiving a selection of clothing to virtually try on;

receiving a request to perform a self-guided body scan for a user;

in response to receiving the request:

generating a user interface for a body scanning process, the user interface comprising a scan sequence indicator including milestone user interface elements, the milestone user interface elements indicating corresponding actions to be taken by the user, the actions including at least a front scan and a side scan;

initiating the body scanning process comprising at least the front scan and the side scan as prompted by the scan sequence indicator; and

updating the user interface, as the actions are taken by the user, including passing the corresponding milestone user interface elements across a midpoint of the scan sequence indicator, the midpoint corresponding to a current action of the body scanning process;

upon completion of the body scanning process, receiving the front scan and the side scan;

generating a size recommendation based at least in part on the front scan and the side scan;

causing display of the size recommendation through the user interface;

generating a preview comprising the selected clothing based on the size recommendation; and

receiving a request to purchase an item of clothing based on the size recommendation.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 12, 2023
From: ZIVIC, NENAD; CAPPELLO, FABIO; ICHIM, ALEXANDRU-EUGEN; TANOUYE, CHRISTINA SHEEVA; ANDELKOVIC, NEBOJSA; SIDNEV, ALEKSEI; APARICI, FERRAN RIGUAL; EVROVA, GABRIELA; NAVARRO, CARLOS CHACON; SANAKOYEU, ARTSIOM; OZGUN, ARMAN; DODIK, ANA
To: META PLATFORMS TECHNOLOGIES, LLC
Reel/Frame 064881/0271 →
Continuity (1)
Provisional Application 63404471 · Sep 7, 2022
References Cited (143)
US 6842175B1 · Schmalstieg et al. · 2005 [cited by applicant]
US 8812954B2 · Shuster et al. · 2014 [cited by applicant]
US 9047706B1 · Ogale · 2015 [cited by applicant]
US 9323325B2 · Perez et al. · 2016 [cited by applicant]
US 9588593B2 · Li · 2017 [cited by applicant]
US 9761052B2 · Groten et al. · 2017 [cited by applicant]
US 9814982B2 · Chuaypradit et al. · 2017 [cited by applicant]
US 9843772B2 · Lee et al. · 2017 [cited by applicant]
US 10242476B2 · Bastaldo-Tsampalis et al. · 2019 [cited by applicant]
US 10281981B2 · Kim et al. · 2019 [cited by applicant]
US 10297082B2 · Wilson et al. · 2019 [cited by applicant]
US 10304247B2 · King · 2019 [cited by applicant]
US 10503351B2 · Gullicksen · 2019 [cited by applicant]
US 10733800B2 · Booth et al. · 2020 [cited by applicant]
US 10803315B2 · Cho et al. · 2020 [cited by applicant]
US 11106038B2 · Roggatz · 2021 [cited by applicant]
US 11176748B2 · Ohashi · 2021 [cited by applicant]
US 11227446B2 · Malia et al. · 2022 [cited by applicant]
US 11314376B2 · Agarawala et al. · 2022 [cited by applicant]
US 11666825B2 · Delamont · 2023 [cited by applicant]
US 11789526B2 · Jo et al. · 2023 [cited by applicant]
US 11829527B2 · Kim et al. · 2023 [cited by applicant]
US 11829959B1 · Latif et al. · 2023 [cited by applicant]
US 11830148B2 · Booth et al. · 2023 [cited by applicant]
US 11927756B2 · Jeong et al. · 2024 [cited by applicant]
US 11928819B2 · Sieckmann et al. · 2024 [cited by applicant]
US 11941315B2 · Jeong et al. · 2024 [cited by applicant]
US 12003697B2 · Hong · 2024 [cited by applicant]
US 12008170B2 · Kim et al. · 2024 [cited by applicant]
US 12032728B2 · Munro et al. · 2024 [cited by applicant]
US 12113374B2 · Yoon et al. · 2024 [cited by applicant]
US 12118678B2 · Choi et al. · 2024 [cited by applicant]
US 20020050988A1 · Petrov et al. · 2002 [cited by applicant]
US 20020158873A1 · Williamson · 2002 [cited by applicant]
US 20080015018A1 · Mullen · 2008 [cited by applicant]
US 20080089577A1 · Wang · 2008 [cited by applicant]
US 20090251465A1 · Hassenpflug · 2009 [cited by applicant]
US 20090279784A1 · Arcas et al. · 2009 [cited by applicant]
US 20100245376A1 · Bar-Zeev et al. · 2010 [cited by applicant]
US 20100315412A1 · Sinha et al. · 2010 [cited by applicant]
US 20110230263A1 · Ng · 2011 [cited by applicant]
US 20120001901A1 · Park · 2012 [cited by applicant]
US 20120069018A1 · Yamaya et al. · 2012 [cited by applicant]
US 20120142415A1 · Lindsay · 2012 [cited by applicant]
US 20120194516A1 · Newcombe et al. · 2012 [cited by applicant]
US 20120249741A1 · Maciocci et al. · 2012 [cited by applicant]
US 20120263154A1 · Blanchflower et al. · 2012 [cited by applicant]
US 20120264510A1 · Wigdor et al. · 2012 [cited by applicant]
US 20130018952A1 · McConnell et al. · 2013 [cited by applicant]
US 20130083062A1 · Geisner et al. · 2013 [cited by applicant]
US 20130141418A1 · Edholm · 2013 [cited by applicant]
US 20130141428A1 · Gipson · 2013 [cited by applicant]
US 20130196759A1 · Kim · 2013 [cited by applicant]
US 20130196772A1 · Latta et al. · 2013 [cited by applicant]
US 20130215230A1 · Miesnieks et al. · 2013 [cited by applicant]
US 20130225296A1 · Kim · 2013 [cited by applicant]
US 20130342564A1 · Kinnebrew et al. · 2013 [cited by applicant]
US 20140071251A1 · Nakamura et al. · 2014 [cited by applicant]
US 20140218361A1 · Abe et al. · 2014 [cited by applicant]
US 20150015576A1 · Algreatly · 2015 [cited by applicant]
US 20150016777A1 · Abovitz et al. · 2015 [cited by applicant]
US 20150029214A1 · Kumagai · 2015 [cited by applicant]
US 20150154453A1 · Wilf · 2015 [cited by examiner]
US 20150312561A1 · Hoof et al. · 2015 [cited by applicant]
US 20150348511A1 · Oriol et al. · 2015 [cited by applicant]
US 20160012157A1 · Williams et al. · 2016 [cited by applicant]
US 20160026253A1 · Bradski et al. · 2016 [cited by applicant]
US 20160027215A1 · Burns et al. · 2016 [cited by applicant]
US 20160093108A1 · Mao et al. · 2016 [cited by applicant]
US 20160212272A1 · Srinivasan et al. · 2016 [cited by applicant]
US 20160253844A1 · Petrovskaya et al. · 2016 [cited by applicant]
US 20160300387A1 · Ziman · 2016 [cited by applicant]
US 20160321946A1 · Kim · 2016 [cited by examiner]
US 20170053422A1 · Chojnowski · 2017 [cited by examiner]
US 20170161948A1 · Hua et al. · 2017 [cited by applicant]
US 20170287218A1 · Nuernberger et al. · 2017 [cited by applicant]
US 20170323482A1 · Coup et al. · 2017 [cited by applicant]
US 20170345089A1 · Wu · 2017 [cited by examiner]
US 20180033208A1 · Martin · 2018 [cited by applicant]
US 20180095616A1 · Valdivia et al. · 2018 [cited by applicant]
US 20180096519A1 · Tokubo · 2018 [cited by applicant]
US 20180114353A1 · Champion et al. · 2018 [cited by applicant]
US 20180122043A1 · Energin et al. · 2018 [cited by applicant]
US 20180123813A1 · Milevski et al. · 2018 [cited by applicant]
US 20180144458A1 · Xu et al. · 2018 [cited by applicant]
US 20180144547A1 · Shakib et al. · 2018 [cited by applicant]
US 20180173404A1 · Smith · 2018 [cited by applicant]
US 20180174367A1 · Marom et al. · 2018 [cited by applicant]
US 20180225885A1 · Dishno · 2018 [cited by applicant]
US 20180247446A1 · Litvin · 2018 [cited by applicant]
US 20180307303A1 · Powderly et al. · 2018 [cited by applicant]
US 20190043269A1 · Lin et al. · 2019 [cited by applicant]
US 20190197599A1 · Zia et al. · 2019 [cited by applicant]
US 20190197768A1 · Taylor et al. · 2019 [cited by applicant]
US 20190279428A1 · Mack et al. · 2019 [cited by applicant]
US 20190311488A1 · Sareen · 2019 [cited by examiner]
US 20190311548A1 · Wang et al. · 2019 [cited by applicant]
US 20190313059A1 · Agarawala et al. · 2019 [cited by applicant]
US 20190325644A1 · Bleyer et al. · 2019 [cited by applicant]
US 20190362312A1 · Platt et al. · 2019 [cited by applicant]
US 20190392643A1 · Busto et al. · 2019 [cited by applicant]
US 20200027194A1 · Nourai et al. · 2020 [cited by applicant]
US 20200051336A1 · Ichikawa et al. · 2020 [cited by applicant]
US 20200051338A1 · Zia et al. · 2020 [cited by applicant]
US 20200066046A1 · Stahl et al. · 2020 [cited by applicant]
US 20200226820A1 · Stachniak et al. · 2020 [cited by applicant]
US 20200368616A1 · Delamont · 2020 [cited by applicant]
US 20210110560A1 · Knorr et al. · 2021 [cited by applicant]
US 20210118239A1 · Santesteban et al. · 2021 [cited by applicant]
US 20210125414A1 · Berkebile · 2021 [cited by applicant]
US 20210134000A1 · Malisiewicz et al. · 2021 [cited by applicant]
US 20210233303A1 · Takahashi · 2021 [cited by applicant]
US 20210241480A1 · Yan et al. · 2021 [cited by applicant]
US 20220327783A1 · El-Ghoroury · 2022 [cited by examiner]
US 20220413433A1 · Parra Pozo et al. · 2022 [cited by applicant]
US 20230196599A1 · Tao et al. · 2023 [cited by applicant]
US 20230236545A1 · Yu et al. · 2023 [cited by applicant]
US 20230298280A1 · Jouet et al. · 2023 [cited by applicant]
US 20230350344A1 · Wen et al. · 2023 [cited by applicant]
US 20240046590A1 · Booth et al. · 2024 [cited by applicant]
US 20240062472A1 · Herling et al. · 2024 [cited by applicant]
US 20240119680A1 · Gunnarsson et al. · 2024 [cited by applicant]
US 20240119690A1 · Ocampo et al. · 2024 [cited by applicant]
US 20240219732A1 · Miyairi et al. · 2024 [cited by applicant]
US 20240249489A1 · Olivier et al. · 2024 [cited by applicant]
US 20240320917A1 · Saito et al. · 2024 [cited by applicant]
US 20240371112A1 · Rao et al. · 2024 [cited by applicant]
US 20250037385A1 · Herling et al. · 2025 [cited by applicant]
US 20250069334A1 · Nguyen et al. · 2025 [cited by applicant]
CN 105190703A · 2015 [cited by applicant]
CN 107209950A · 2017 [cited by applicant]
CN 106951882B · 2021 [cited by applicant]
EP 3945486A1 · 2022 [cited by applicant]
WO 2022017779A2 · 2022 [cited by applicant]
Coury, Nicole, “Consumer Perceptions of Apparel Fit Satisfaction and Sizing Based Upon 3D Body Scanning and Block Garment Assessment”, Univ. or Arkansas, Proquest Dissertations & Theses, 2015 (Year: 2015). [cited by examiner]
Coster; “The Effects of Shadows on Depth Perception in Augmented Reality on a Mobile Device,” Degree Project in Computer Science and Engineering, Royal Institute of Technology, School of Electrical Engineering and Compu… [cited by applicant]
Hawkes R., et al., “Update Rates and Fidelity in Virtual Environments,” Virtual Reality, 1995, vol. 1, No. 2, pp. 99-108, Retrieved from the Internet URL: https://link.springer.com/article/10.1007/BF02009726. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2019/017947, mailed Nov. 28, 2019, 17 Pages. [cited by applicant]
International Search Report and Written Opinion for International Application No. PCT/US2024/036987, mailed Oct. 9, 2024, 13 pages. [cited by applicant]
Irawati; et al., “Spatial Ontology for Semantic Integration in 3D Multimodal Interaction Framework,” VRCIA, Hong Kong, ACM, Jun. 14-17, 2006, p. 129-135. [cited by applicant]
Non-Final Office Action mailed Apr. 28, 2025 for U.S. Appl. No. 18/313,185, filed May 5, 2023, 14 pages. [cited by applicant]
Office Action mailed Jun. 28, 2024 for Chinese Application No. 201910105998.4, filed Jan. 18, 2019, 6 pages. [cited by applicant]
Popovic M., et al., “Grasping Unknown Objects Using an Early Cognitive Vision System for General Scene Understanding,” IEEE-RSJ International Conference on Intelligent Robots and Systems, 2011, 8 Pages. [cited by applicant]