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Dynamic hand gesture recognition using depth data

  • US 9,990,050 B2
  • Filed: 10/25/2016
  • Issued: 06/05/2018
  • Est. Priority Date: 06/18/2012
  • Status: Active Grant
First Claim
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1. In a computing environment, a method performed at least in part on at least one processor, the method comprising:

  • detecting a hand by;

    identifying a wrist area as a thinnest part of an arm portion; and

    separating the arm portion at the identified wrist area;

    segmenting depth data to isolate the hand represented in a plurality of frames that include hand movement;

    rotating the hand such that a palm of the hand has a normalized and oriented position relative to an image plane;

    extracting feature values corresponding to the rotated hand; and

    recognizing the hand movement as a hand gesture based upon the feature values.

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