DETECTING INADVERTENT GESTURE CONTROLS

• US 20150331534A1
• Filed: 05/13/2014
• Published: 11/19/2015
• Est. Priority Date: 05/13/2014
• Status: Active Application

• Current Assignee: Lenovo PC International Limited (Lenovo Group Ltd.)
• Original Assignee: Lenovo Singapore Pte Limited (Lenovo Group Ltd.)
• Inventors: Feng, Xin, Kapinos, Robert James, Proctor, Corinna Paine, Hilburger, Paul, Chanon, Vicki West
• Granted Patent: US 10,845,884 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures

Abstract

An embodiment provides a method, including: capturing, using an image capture device, image data; analyzing, using a processor, the image data to identify a gesture control; determining, using a processor, the gesture control was inadvertent; and disregarding, using a processor, the gesture control. Other aspects are described and claimed.

Claims

1. A method, comprising:

capturing, using an image capture device, image data;

analyzing, using a processor, the image data to identify a gesture control;

determining, using a processor, the gesture control was inadvertent; and

disregarding, using a processor, the gesture control.

2. The method of claim 1, wherein:

the determining comprises determining that a user feature location of the image data is outside of a predetermined user feature location.

3. The method of claim 2, wherein the user feature location is selected from the group consisting of a nose location, an eye location, a hand location, and a head location.

4. The method of claim 1, comprising:

capturing, using an image capture device, other image data; and

analyzing the other image data to identify another gesture control;

wherein;

the determining comprises determining a time between receipt of the gesture control and the another gesture control is below a predetermined time threshold.

5. The method of claim 1, comprising:

detecting, using a processor, a user input provided through a non-gesture input device;

wherein the determining comprises determining a conflict between the gesture control and the user input provided through a non-gesture input device.

6. The method of claim 5, wherein the non-gesture input device is selected from the group consisting of a mouse, a keyboard, a voice input component, and a touch screen.

7. The method of claim 1, further comprising:

accessing underlying application context data;

wherein the determining comprises determining the gesture control conflicts with the underlying application context data.

8. The method of claim 7, wherein the underlying application context data is derived from an underlying application controllable by gesture input.

9. The method of claim 7, wherein the underlying application context data is derived from an underlying application not controllable by gesture input.

10. The method of claim 1, wherein the determining comprises conducting at least two checks for context conflict between the identified gesture control and available context data.

11. An apparatus, comprising:

an image capture device;

a processor operatively coupled to the image capture device; and

a memory storing instructions that are executable by the processor to;

capturing, using the image capture device, image data;

analyze the image data to identify a gesture control;

determine the gesture control was inadvertent; and

disregard the gesture control.

12. The apparatus of claim 11, wherein:

to determine comprises determining that a user feature location of the image data is outside of a predetermined user feature location.

13. The apparatus of claim 12, wherein the user feature location is selected from the group consisting of a nose location, an eye location, a hand location, and a head location.

14. The apparatus of claim 11, wherein the instructions are further executable by the processor to:

capture, using the image capture device, other image data; and

analyze the other image data to identify another gesture control;

wherein;

to determine comprises determining a time between receipt of the gesture control and the another gesture control is below a predetermined time threshold.

15. The apparatus of claim 11, wherein the instructions are further executable by the processor to:

detect a user input provided through a non-gesture input device;

wherein to determine comprises determining a conflict between the gesture control and the user input provided through a non-gesture input device.

16. The apparatus of claim 15, wherein the non-gesture input device is selected from the group consisting of a mouse, a keyboard, a voice input component, and a touch screen.

17. The apparatus of claim 11, wherein the instructions are further executable by the processor to:

access underlying application context data;

wherein to determine comprises determining the gesture control conflicts with the underlying application context data.

18. The apparatus of claim 17, wherein the underlying application context data is derived from an underlying application controllable by gesture input.

19. The apparatus of claim 17, wherein the underlying application context data is derived from an underlying application not controllable by gesture input.

20. A product, comprising:

a computer readable storage device storing code therewith, the code being executable by a processor and comprising;

code that captures, using an image capture device, image data;

code that analyzes, using a processor, the image data to identify a gesture control;

code that determines, using a processor, the gesture control was inadvertent; and

code that disregards, using a processor, the gesture control.