The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 11, 2025

Filed:

Dec. 02, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Edward Sean Lloyd Rintel, Cambridge, GB;

Prashant Vaidyanathan, Purley, GB;

Paul Kerr Grant, Cambridge, GB;

Neil Dalchau, Cambridge, GB;

Eyal Ofek, Redmond, WA (US);

Payod Panda, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G06F 3/01 (2006.01); G06F 3/04842 (2022.01); G06Q 10/0631 (2023.01); G06T 13/40 (2011.01); G06T 13/80 (2011.01); G06V 20/20 (2022.01);
U.S. Cl.
CPC ...
G06T 19/006 (2013.01); G06F 3/011 (2013.01); G06F 3/017 (2013.01); G06F 3/04842 (2013.01); G06Q 10/06316 (2013.01); G06T 13/40 (2013.01); G06T 13/80 (2013.01); G06V 20/20 (2022.01); G06T 2200/24 (2013.01);
Abstract

A computer-implemented method of generating a mixed reality workflow is described. The method comprises identifying a series of tasks and generating an input task-to-object-mapping by analyzing data that defines a process performed by a first user interacting with objects in a first location. The input task-to-object-mapping that maps each task from the series of tasks to an object used in the respective task. A task-specific non-spatial characteristic of each object in the input task-to-object-mapping is determined and used to map each object in the input task-to-object-mapping to a candidate object identified at a second location to generate an output task-to-object-mapping. The series of tasks, location data defining a position of each candidate object in the second location and output task-to-object-mapping are used to generate a mapped workflow which is then output to a device in the second location.


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