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. 21, 2017

Filed:

Dec. 21, 2010
Applicants:

Stephen Latta, Seattle, WA (US);

Darren Bennett, Seattle, WA (US);

Kevin Geisner, Mercer Island, WA (US);

Relja Markovic, Seattle, WA (US);

Kudo Tsunoda, Seattle, WA (US);

Rhett Mathis, Snohomish, WA (US);

Matthew Monson, Kirkland, WA (US);

David Gierok, Sammamish, WA (US);

William Paul Giese, Snohomish, WA (US);

Darrin Brown, Vancouver, CA;

Cam Mcrae, Vancouver, CA;

David Seymour, Vancouver, CA;

William Axel Olsen, Vancouver, CA;

Matthew Searcy, Vancouver, CA;

Inventors:

Stephen Latta, Seattle, WA (US);

Darren Bennett, Seattle, WA (US);

Kevin Geisner, Mercer Island, WA (US);

Relja Markovic, Seattle, WA (US);

Kudo Tsunoda, Seattle, WA (US);

Rhett Mathis, Snohomish, WA (US);

Matthew Monson, Kirkland, WA (US);

David Gierok, Sammamish, WA (US);

William Paul Giese, Snohomish, WA (US);

Darrin Brown, Vancouver, CA;

Cam McRae, Vancouver, CA;

David Seymour, Vancouver, CA;

William Axel Olsen, Vancouver, CA;

Matthew Searcy, Vancouver, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A63F 9/24 (2006.01); A63F 13/428 (2014.01); A63F 13/213 (2014.01); A63F 13/57 (2014.01); A63F 13/803 (2014.01); G09B 9/04 (2006.01); G06F 3/01 (2006.01); A63F 13/212 (2014.01);
U.S. Cl.
CPC ...
A63F 13/428 (2014.09); A63F 13/213 (2014.09); A63F 13/57 (2014.09); A63F 13/803 (2014.09); G06F 3/017 (2013.01); G09B 9/04 (2013.01); A63F 13/212 (2014.09); A63F 2300/1087 (2013.01); A63F 2300/1093 (2013.01); A63F 2300/6045 (2013.01); A63F 2300/6607 (2013.01); A63F 2300/8017 (2013.01);
Abstract

Depth-image analysis is performed with a device that analyzes a human target within an observed scene by capturing depth-images that include depth information from the observed scene. The human target is modeled with a virtual skeleton including a plurality of joints. The virtual skeleton is used as an input for controlling a driving simulation.


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