Custom gestures

• US 9,619,037 B2
• Filed: 07/25/2012
• Issued: 04/11/2017
• Est. Priority Date: 07/25/2012
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: St. Clair, Luke
• Primary Examiner(s): Hailu, Tadeese
• Application Number:
  US13/557,945
• Publication Number:
  US 20140033136A1
• Time in Patent Office: 1,721 Days
• Field of Search: 715863, 715864, 715866
• 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 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06F 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

In one embodiment, a method includes identifying a touch input made by a user of a computing device on a touch screen of the computing device as a particular one of a plurality of custom touch gestures of the user stored on the computing device; determining the particular one of the user inputs corresponding to the particular one of the custom touch gestures identified as the touch gesture made by the user; and executing one or more actions based on the particular one of the user inputs.

Claims

1. A method comprising:

determining, by a computing device associated with a user of a social-networking system, that a custom-touch-gesture feature should be turned on and enabling the custom-touch-gesture feature for the computing device, wherein the determining is based on usage of the custom-touch-gesture feature by at least a threshold number of the user'"'"'s social contacts within a specified social degree of separation in the social-networking system;

identifying, by the computing device, a touch gesture on a touch screen of the computing device as a particular one of a plurality of custom touch gestures of the user stored on the computing device, each of the custom touch gestures having been recorded and assigned to a particular one of a plurality of user inputs by the computing device in response to an instruction from the user;

determining, by the computing device, the particular one of the user inputs corresponding to the particular one of the custom touch gestures identified as the touch gesture made by the user; and

executing, by the computing device, one or more actions based on the particular one of the user inputs.

2. The method of claim 1, wherein one or more of the custom touch gestures comprise a touch trajectory determined based at least in part on a machine-learning algorithm.

3. The method of claim 1, wherein the actions comprise navigating from a user interface (UI) of a home or locked screen of the computing device to a UI of a particular application on the computing device.

4. The method of claim 1, wherein the actions comprise launching an application on the computing device from a shell of an operating system (OS) running on the computing device.

5. The method of claim 1, wherein the actions comprise adjusting a controllable parameter of an application on the computing device.

6. The method of claim 1, wherein the computing device is a smartphone.

7. The method of claim 1, wherein the plurality of custom touch gestures of the user are stored in a user preference file on a remote server.

8. The method of claim 1, wherein assigning a custom touch gesture comprises:

accessing a recording user interface of a recording application;

receiving one or more training inputs from the user within the recording user interface, the one or more training inputs comprising one or more touch trajectories;

determining a custom touch gesture based on the one or more training inputs;

presenting to the user one or more user inputs from the plurality of user inputs;

receiving an instruction from the user selecting a particular user input; and

assigning the determined custom touch gesture to the particular user input.

9. One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

determine that a custom-touch-gesture feature should be turned on and enabling the custom-touch-gesture feature for a computing device, wherein the determining is based on usage of the custom-touch-gesture feature by at least a threshold number of the user'"'"'s social contacts within a specified social degree of separation in a social-networking system;

identify a touch gesture on a touch screen of the computing device as a particular one of a plurality of custom touch gestures of the user stored on the computing device, each of the custom touch gestures having been recorded and assigned to a particular one of a plurality of user inputs by the computing device in response to an instruction from the user;

determine the particular one of the user inputs corresponding to the particular one of the custom touch gestures identified as the touch gesture made by the user; and

execute one or more actions based on the particular one of the user inputs.

10. The media of claim 9, wherein one or more of the custom touch gestures comprise a touch trajectory determined based at least in part on a machine-learning algorithm.

11. The media of claim 9, wherein the actions comprise navigating from a user interface (UI) of a home or locked screen of the computing device to a UI of a particular application on the computing device.

12. The media of claim 9, wherein the actions comprise launching an application on the computing device from a shell of an operating system (OS) running on the computing device.

13. The media of claim 9, wherein the actions comprise adjusting a controllable parameter of an application on the computing device.

14. The media of claim 9, wherein the computing device is a smartphone.

15. A device comprising:

one or more processors; and

one or more computer-readable non-transitory storage media coupled to the processors and embodying software that is operable when executed by the processors to;

determine that a custom-touch-gesture feature should be turned on and enabling the custom-touch-gesture feature for a computing device, wherein the determining is based on usage of the custom-touch-gesture feature by at least a threshold number of the user'"'"'s social contacts within a specified social degree of separation in a social-networking system, that the custom-touch-gesture feature should be turned on and enabling the custom-touch-gesture feature for the device;

identify a touch gesture on a touch screen of the device as a particular one of a plurality of custom touch gestures of the user stored on the device, each of the custom touch gestures having been recorded and assigned to a particular one of a plurality of user inputs by the device in response to an instruction from the user;

determine the particular one of the user inputs corresponding to the particular one of the custom touch gestures identified as the touch gesture made by the user; and

execute one or more actions based on the particular one of the user inputs.

16. The device of claim 15, wherein one or more of the custom touch gestures comprise a touch trajectory determined based at least in part on a machine-learning algorithm.

17. The device of claim 15, wherein the actions comprise navigating from a user interface (UI) of a home or locked screen of the computing device to a UI of a particular application on the computing device.

18. The device of claim 15, wherein the actions comprise launching an application on the computing device from a shell of an operating system (OS) running on the computing device.

19. The device of claim 15, wherein the actions comprise adjusting a controllable parameter of an application on the computing device.