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AssigneeMicrosoft Corporation
InventorsDaniel Kennett, Jonathan Hoof, Anis Ahmad
Estimating the term…
Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. A depth-based center-of-mass position is determined for the plurality of pixels that correspond to the user. Additionally, a depth-based inertia tensor can also be determined for the plurality of pixels that correspond to the user. In certain embodiments, the plurality of pixels that correspond to the user are divided into quadrants and a depth-based quadrant center-of-mass position is determined for each of the quadrants. Additionally, a depth-based quadrant inertia tensor can be determined for each of the quadrants. Based on one or more of the depth-based center-of-mass position, the depth-based inertial tensor, the depth-based quadrant center-of-mass positions or the depth-based quadrant inertia tensors, an application is updated.
A method for using a depth image to extract user behavior, comprising:
A system that uses depth images to extract user behavior, comprising:
The system of 11, wherein the depth-based center-of mass position and the depth-based inertia tensor are determined in a manner that accounts for distances between portions of the user represented by the pixels and the capture device used to obtain the depth image.
One or more processor readable storage devices having instructions encoded thereon which when executed cause one or more processors to perform a method for using depth images to extract user behavior, the method comprising:
Dependencies are inferred from the claim text.