GESTURE RECOGNITION FROM CO-ORDINATE DATA
First Claim
1. A method comprising:
- receiving a first plurality of coordinates defining a first position of a limb from an image capture device;
mapping at least one of the first plurality of coordinates to a cell;
generating a first list of cells including cells to which the at least one coordinate of the first plurality of coordinates is mapped;
receiving a second plurality of coordinates defining a second position of a limb from an image capture device;
mapping at least one coordinate of the second plurality of coordinates to a cell;
generating a second list of cells including cells to which the at least one coordinate of the second plurality of coordinates is mapped;
defining an avatar gesture comprising a sequence of at least the first list of cells and the second list of cells;
receiving a sample sequence of coordinates defining a plurality of positions of a limb from an image capture device;
mapping the sample sequence of coordinates to a sample sequence of cells; and
pattern-matching at least a portion of the sample sequence of cells and an avatar gesture of a plurality of avatar gesture.
1 Assignment
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Accused Products
Abstract
A method for gesture recognition may comprise: a) receiving a first plurality of coordinates defining a first position of a limb from an image capture device; b) mapping at least one of the first plurality of coordinates to a cell; c) generating a first list of cells including cells to which the at least one coordinate of the first plurality of coordinates is mapped; d) receiving a second plurality of coordinates defining a second position of a limb from an image capture device; e) mapping at least one coordinate of the second plurality of coordinates to a cell; f) generating a second list of cells including cells to which the at least one coordinate of the second plurality of coordinates is mapped; g) defining an avatar gesture comprising a sequence of at least the first list of cells and the second list of cells; h) receiving a sample sequence of coordinates defining a plurality of positions of a limb from an image capture device; i) mapping the sample sequence of coordinates to a sample sequence of cells; and j) pattern-matching at least a portion of the sample sequence of cells and an avatar gesture of a plurality of avatar gesture.
56 Citations
8 Claims
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1. A method comprising:
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receiving a first plurality of coordinates defining a first position of a limb from an image capture device; mapping at least one of the first plurality of coordinates to a cell; generating a first list of cells including cells to which the at least one coordinate of the first plurality of coordinates is mapped; receiving a second plurality of coordinates defining a second position of a limb from an image capture device; mapping at least one coordinate of the second plurality of coordinates to a cell; generating a second list of cells including cells to which the at least one coordinate of the second plurality of coordinates is mapped; defining an avatar gesture comprising a sequence of at least the first list of cells and the second list of cells; receiving a sample sequence of coordinates defining a plurality of positions of a limb from an image capture device; mapping the sample sequence of coordinates to a sample sequence of cells; and pattern-matching at least a portion of the sample sequence of cells and an avatar gesture of a plurality of avatar gesture. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification