Patent · US Active

Machine learning systems and methods for extracting user body shape from behavioral data

US11461630B1 · kind B1 · utility

4Cited by

9References

18Claims

0Family size

Assignee

Max-Planck-Gesellschaft zur Föderung der Wissenschaften e.V. · US

Inventors

Michael J. Black · Lörrach, DE
Eric Rachlin · Providence, US
Matthew M. Loper · Providence, US
Jonathan Robert Cilley · New York, US
William J. O'Farrell · Newport, US
Alexander W. Weiss · Linden, DE
Jason Lawrence Gelman · New York, US
Steven Hatch · Maplewood, US
Nicolas Heron · New York, US
Javier Romero Gonzalez-Nicolas · Barcelona, ES

Key dates

Filing date	Mar 6, 2018
Grant date	Oct 4, 2022
Priority date	—
Expiry date	Dec 29, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2210/16
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed are systems and techniques for extracting user body shape (e.g., a representation of the three-dimensional body surface) from user behavioral data. The behavioral data may not be explicitly body-shape-related, and can include shopping history, social media likes, or other recorded behaviors of the user within (or outside of) a networked content delivery environment. The determined body shape can be used, for example, to generate a virtual fitting room user interface.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.