Invention Grant
- Patent Title: Machine learning systems and methods for extracting user body shape from behavioral data
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Application No.: US15913589Application Date: 2018-03-06
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Publication No.: US11461630B1Publication Date: 2022-10-04
- Inventor: Michael Julian Black , Eric Rachlin , Matthew Loper , Jonathan Robert Cilley , William John O'Farrell , Alexander Weiss , Jason Lawrence Gelman , Steven Douglas Hatch , Nicolas Heron , Javier Romero Gonzalez-Nicolas
- Applicant: Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
- Applicant Address: DE Munich
- Assignee: Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
- Current Assignee: Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
- Current Assignee Address: DE Munich
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06Q50/00 ; G06Q30/06 ; G06T19/00
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.
Information query
