Bringing a visual representation to life via learned input from the user

US9159151B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9159151-B2
Application numberUS-50196409-A
CountryUS
Kind codeB2
Filing dateJul 13, 2009
Priority dateJul 13, 2009
Publication dateOct 13, 2015
Grant dateOct 13, 2015

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  5. First independent claim

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Abstract

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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.

First claim

Opening claim text (preview).

What is claimed: 1. A method for applying an animation to a visual representation of a user, the method comprising: selecting a first animation from a plurality of stored animations, based on a first image indicative of a user presently being in a physical capture area, the first image being received from a capture device; applying the first animation to a visual representation of the user on a display device; updating at least one animation of the plurality of stored animatio…

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What does patent US9159151B2 cover?
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, …
Who is the assignee on this patent?
Perez Kathryn Stone, Kipman Alex, Burton Nicholas D, and 2 more
What technology area does this patent fall under?
Primary CPC classification G06T13/40. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 13 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).