SYSTEM AND METHOD FOR GESTURE INTERFACE CONTROL

• US 20120133580A1
• Filed: 11/30/2010
• Published: 05/31/2012
• Est. Priority Date: 11/30/2010
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Evans, David K., Kirby, Shaun K.
• Granted Patent: US 9,111,138 B2
• Time in Patent Office: Days
• US Class Current: 345/156
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/0304 Detection arrangements using opto-electronic means constructional details of pointing devices not related to the detection arrangement using opto-electronic means G06F3/033; optical digitisers G06F3/042
• CPC Class Codes: G06V 40/113 Recognition of static hand signs

Abstract

A method is provided in one example and includes generating a histogram associated with at least one object; receiving image data; comparing the image data to the histogram in order to determine if at least a portion of the image data corresponds to the histogram; identifying a pose associated with the object; and triggering an electronic command associated with the pose. In more particular embodiments, the image data is evaluated in order to analyze sequences of poses associated with a gesture that signals the electronic command to be performed.

Claims

1. A method, comprising:

generating a histogram associated with at least one object;

receiving image data;

comparing the image data to the histogram in order to determine if at least a portion of the image data corresponds to the histogram;

identifying a pose associated with the object; and

triggering an electronic command associated with the pose.

2. The method of claim 1, wherein the image data is evaluated in order to analyze sequences of poses associated with a gesture that signals the electronic command to be performed.

3. The method of claim 1, wherein a convexity analysis is used to determine the pose associated with the object.

4. The method of claim 1, wherein the object is indicative of a hand of an individual participating in a communication session, and wherein a geometric determination is made about which portions of the image data reflect the hand.

5. The method of claim 4, wherein the geometric determination includes identifying contiguous regions of skin associated with the individual and included within the image data.

6. The method of claim 1, wherein the generating includes using a stencil that coincides with the object, and wherein Hue-Saturation-Value (HSV) tuples of stencil regions are included within the histogram.

7. The method of claim 1, wherein three objects are identified within the image data, and wherein a middle object of the three objects is eliminated and the remaining objects are evaluated with reference to the histogram.

8. Logic encoded in one or more tangible media that includes code for execution and when executed by a processor is operable to perform operations comprising:

generating a histogram associated with at least one object;

receiving image data;

comparing the image data to the histogram in order to determine if at least a portion of the image data corresponds to the histogram;

identifying a pose associated with the object; and

triggering an electronic command associated with the pose.

9. The logic of claim 8, wherein the image data is evaluated in order to analyze sequences of poses associated with a gesture that signals the electronic command to be performed.

10. The logic of claim 8, wherein a convexity analysis is used to determine the pose associated with the object.

11. The logic of claim 8, wherein the object is indicative of a hand of an individual participating in a communication session, and wherein a geometric determination is made about which portions of the image data reflect the hand.

12. The logic of claim 11, wherein the geometric determination includes identifying contiguous regions of skin associated with the individual and included within the image data.

13. The logic of claim 8, wherein the generating includes using a stencil that coincides with the object, and wherein Hue-Saturation-Value (HSV) tuples of stencil regions are included within the histogram.

14. The logic of claim 8, wherein three objects are identified within the image data, and wherein a middle object of the three objects is eliminated and the remaining objects are evaluated with reference to the histogram.

15. An apparatus, comprising:

a memory element configured to store data; and

a processor operable to execute instructions associated with the data, wherein the processor and the memory element cooperate such that the apparatus is configured to;

generate a histogram associated with at least one object;

receive image data;

compare the image data to the histogram in order to determine if at least a portion of the image data corresponds to the histogram;

identify a pose associated with the object; and

trigger an electronic command associated with the pose.

16. The apparatus of claim 15, wherein the image data is evaluated in order to analyze sequences of poses associated with a gesture that signals the electronic command to be performed.

17. The apparatus of claim 15, wherein a convexity analysis is used to determine the pose associated with the object.

18. The apparatus of claim 15, wherein the object is indicative of a hand of an individual participating in a communication session, and wherein a geometric determination is made about which portions of the image data reflect the hand.

19. The apparatus of claim 18, wherein the geometric determination includes identifying contiguous regions of skin associated with the individual and included within the image data.

20. The apparatus of claim 15, further comprising:

a camera element configured to receive the image data, wherein the camera element is coupled to a display configured to render images during a communication session.