Gesture cataloging and recognition
First Claim
1. In a system having a control device and a processor coupled to the control device, a gesture recognition method comprising:
- a) computing with the processor a total variance for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with the control device wherein the motion data is related to movement of the control device;
b) calculating a figure of merit using the sample values in the gesture, the total variance for the sample values in the input gesture, and sample values in one or more catalog gestures, wherein the figure of merit measures how well the samples in the input gesture match samples in the catalog gestures;
c) determining whether an input gesture matches one of the one or more catalog gesture based on the figure of merit; and
d) changing a state of the system if it is determined that the input gesture matches the one of the one or more catalog gestures.
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Accused Products
Abstract
A total variance may be computed for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with a control device. The motion data may be related to movement of a control device. A figure of merit may be calculated using the sample values in the gesture, the total variance for the sample values in the input gesture, and sample values in one or more catalog gestures. The figure of merit measures how well the samples in the input gesture match samples in the catalog gesture. Whether an input gesture matches one of the one or more catalog gesture may be determined based on the figure of merit. A state of the system may be changed if it is determined that the input gesture matches the one of the one or more catalog gestures.
20 Citations
20 Claims
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1. In a system having a control device and a processor coupled to the control device, a gesture recognition method comprising:
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a) computing with the processor a total variance for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with the control device wherein the motion data is related to movement of the control device; b) calculating a figure of merit using the sample values in the gesture, the total variance for the sample values in the input gesture, and sample values in one or more catalog gestures, wherein the figure of merit measures how well the samples in the input gesture match samples in the catalog gestures; c) determining whether an input gesture matches one of the one or more catalog gesture based on the figure of merit; and d) changing a state of the system if it is determined that the input gesture matches the one of the one or more catalog gestures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An apparatus for gesture recognition comprising:
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a control device; a processor operable to execute a program of a method for gesture recognition, the method comprising; a) computing a total variance for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with the control device wherein the motion data is related to movement of the control device; b) calculating a figure of merit using the sample values in the gesture and sample values in one or more catalog gestures. - View Dependent Claims (13, 14, 16, 17)
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15. A computer readable storage medium having computer readable instructions embodied therein, the computer readable instructions being configured to implement, when executed, a method for gesture recognition, the method comprising:
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a) computing a total variance for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with a control device wherein the motion data is related to movement of the control device; b) calculating a figure of merit using the sample values in the gesture, the total variance for the sample values in the input gesture, and sample values in one or more catalog gestures, wherein the figure of merit measures how well the samples in the input gesture match samples in the catalog gesture; c) determining whether an input gesture matches one of the one or more catalog gestures based on the figure of merit; and d) changing a state of the apparatus if it is determined that the input gesture matches the one of the one or more catalog gestures.
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18. A computer readable storage medium having computer readable instructions embodied therein, the computer readable instructions being configured to implement, when executed, a method for gesture recognition, the method comprising:
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a) computing a total variance for sample values in an input gesture including a plurality of sample values of sample motion data from one or more sensors associated with a control device wherein the motion data is related to movement of the control device; b) calculating a figure of merit using the sample values in the gesture and sample values in one or more catalog gestures, wherein the figure of merit measures how well the samples in the input gesture match samples in the catalog gestures; and c) determining whether an input gesture matches one of the one or more catalog gestures based on the figure of merit. - View Dependent Claims (19, 20)
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Specification