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:
Oct. 13, 2015

Filed:

Jul. 13, 2009
Applicants:

Kathryn Stone Perez, Kirkland, WA (US);

Alex Kipman, Redmond, WA (US);

Nicholas D. Burton, Hermington, GB;

Andrew Wilson, Ashby de la Zouch, GB;

Inventors:

Kathryn Stone Perez, Kirkland, WA (US);

Alex Kipman, Redmond, WA (US);

Nicholas D. Burton, Hermington, GB;

Andrew Wilson, Ashby de la Zouch, GB;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 13/40 (2011.01); G06F 3/01 (2006.01); A63F 13/213 (2014.01); A63F 13/58 (2014.01); H04N 21/466 (2011.01); H04N 21/4223 (2011.01); H04N 21/442 (2011.01); H04N 21/45 (2011.01); H04N 21/478 (2011.01); A63F 13/67 (2014.01); A63F 13/56 (2014.01); G01S 17/36 (2006.01); G01S 17/89 (2006.01);
U.S. Cl.
CPC ...
G06T 13/40 (2013.01); A63F 13/56 (2014.09); A63F 13/67 (2014.09); G06F 3/011 (2013.01); G06F 3/017 (2013.01); H04N 21/4223 (2013.01); H04N 21/44218 (2013.01); H04N 21/4532 (2013.01); H04N 21/4667 (2013.01); H04N 21/4781 (2013.01); A63F 13/213 (2014.09); A63F 13/58 (2014.09); G01S 17/36 (2013.01); G01S 17/89 (2013.01);
Abstract

Data captured with respect to a human may be analyzed and applied to a visual representation of a user such that the visual representation begins to reflect the behavioral characteristics of the user. For example, a system may have a capture device that captures data about the user in the physical space. The system may identify the user's characteristics, tendencies, voice patterns, behaviors, gestures, etc. Over time, the system may learn a user's tendencies and intelligently apply animations to the user's avatar such that the avatar behaves and responds in accordance with the identified behaviors of the user. The animations applied to the avatar may be animations selected from a library of pre-packaged animations, or the animations may be entered and recorded by the user into the avatar's avatar library.


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