2. The method of claim 1 further comprising detecting the hand by: segmenting the depth data and the classified human body into a human shape; and detecting the hand based upon depth data of the hand relative to depth data of the human shape.
1. In a computing environment, a method performed at least in part on at least one processor, the method comprising: sensing depth data for a plurality of frames that include hand movement; for the plurality of frames, processing the depth data, wherein processing the depth data comprises: segmenting the depth data to isolate a hand represented in the plurality of frames; determining that a principal direction of the hand is not pointing in a predefined direction in an image plane; based on the determining, rotating the hand such that the palm of the hand is substantially parallel to the image plane and such that the principal direction of the hand is pointing toward the predefined direction in the image plane; performing normalization on the rotated hand to provide normalized hand data to compensate for scale and a relative hand size of the hand; and extracting feature values corresponding to the normalized hand data; and recognizing the hand movement as a hand gesture based upon the feature values provided to a classifier.