Recognition and processing of gestures in a graphical user interface using machine learning

• US 10,719,230 B2
• Filed: 03/11/2019
• Issued: 07/21/2020
• Est. Priority Date: 09/27/2018
• Status: Active Grant

• Current Assignee: Atlassian US, Inc. (Atlassian Corporation)
• Original Assignee: Atlassian Pty Ltd (d/b/a Confluence) (Atlassian Corporation)
• Inventors: Bar-on, Noam
• Primary Examiner(s): Chiusano, Andrew T
• Application Number:
  US16/298,756
• Publication Number:
  US 20200104037A1
• Time in Patent Office: 498 Days
• CPC Class Codes: G06F 3/0416 Control or interface arrangements specially adapted for digitisers
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06N 3/08 Learning methods

Abstract

In an embodiment, a computer-implemented method comprises: displaying a continuous content stream of individually actionable content items; automatically recognizing, while the continuous content stream is being displayed, a mode change from a control mode to a signal mode; receiving a touch input after the mode change is recognized and, in response, using a neural network to generate output data indicating a gesture classification for the touch input, wherein the touch input is received in relation to a particular actionable content item that is in a visible portion of the continuous content stream; performing, according to the output data, an action for the particular actionable content item; wherein the method is performed by one or more computing devices.

Claims

1. A computer-implemented method comprising:

displaying a continuous content stream of individually actionable content items;

automatically recognizing, while the continuous content stream is being displayed, a mode change from a control mode to a signal mode by receiving a touch input and determining whether a start of the touch input is within a predetermined distance from a starting point predefined for a display view;

in response to the mode change, using a neural network to generate output data indicating a gesture classification for the touch input, wherein the touch input is received in relation to a particular actionable content item that is in a visible portion of the continuous content stream;

performing, according to the output data, an action for the particular actionable content item, the action comprising causing to render a graphical icon corresponding to the touch input in the continuous content stream at a location associated with the particular actionable content item;

wherein the method is performed by one or more computing devices.

2. The computer-implemented method of claim 1, wherein the individually actionable content items in the continuous content stream are from a plurality of data sources and are for a particular user account.

3. The computer-implemented method of claim 1, wherein the control mode enables interaction with display controls and the signal mode enables interaction with at least one of the individually actionable content items.

4. The computer-implemented method of claim 1, wherein the action is selected from a group comprising:

associating a dismissal indication with the particular actionable content item;

associating an approval indication with the particular actionable content item;

associating a strong approval indication with the particular actionable content item;

requesting communication with a user account associated with the particular actionable content item.

5. The computer-implemented method of claim 1, further comprising recognizing a control gesture while concurrently recognizing a signaling gesture that is interleaved with instances of the control gesture and performing a particular action in response to the signaling gesture.

6. The computer-implemented method of claim 1, further comprising classifying a plurality of different signaling gestures.

7. The computer-implemented method of claim 1, further comprising providing a visual indication that the mode change is recognized.

8. The computer-implemented method of claim 1, further comprising implementing a first logical layer of touch screen gestures relating to control gestures to control display aspects while concurrently recognizing a second logical layer of touch screen gestures relating to signaling gestures that interact with the individually actionable content items.

9. A computer-implemented system comprising:

a mobile device comprising a touchscreen and a first non-transitory data storage medium storing a first set of instructions which, when executed by the mobile device, cause;

displaying, on the touchscreen, a continuous content stream of individually actionable content items;

automatically recognizing, while the continuous content stream is being displayed on the touchscreen, a mode change from a control mode to a signal mode, by receiving a touch input and determining whether a start of the touch input is within a predetermined distance from a starting point predefined for a display view;

in response to the mode change, using a neural network to generate output data indicating a gesture classification for the touch input, wherein the touch input is received in relation to a particular actionable content item that is in a visible portion of the continuous content stream;

a server device comprising a second non-transitory data storage medium storing a second set of instructions which, when executed by the server device, cause;

performing, according to the output data, an action for the particular actionable content item, the action comprising causing to render, on the touchscreen, a graphical icon corresponding to the touch input in the continuous content stream at a location associated with the particular actionable content item.

10. The computer-implemented system of claim 9, wherein the individually actionable content items in the continuous content stream are from a plurality of data sources and are for a particular user account.

11. The computer-implemented system of claim 9, wherein the control mode enables interaction with display controls and the signal mode enables interaction with at least one of the individually actionable content items.

12. The computer-implemented system of claim 9, wherein the action is selected from a group comprising:

associating a dismissal indication with the particular actionable content item;

associating an approval indication with the particular actionable content item;

associating a strong approval indication with the particular actionable content item;

requesting communication with a user account associated with the particular actionable content item.

13. The computer-implemented system of claim 9, wherein the first set of instructions, when executed by the mobile device, further cause recognizing a control gesture while concurrently recognizing a signaling gesture that is interleaved with instances of the control gesture, and wherein the second set of instructions, when executed by the server device, further cause performing a particular action in response to the signaling gesture.

14. The computer-implemented system of claim 9, wherein the second set of instructions, when executed by the server device, further cause classifying a plurality of different signaling gestures.

15. The computer-implemented system of claim 9, wherein the second set of instructions, when executed by the server device, further cause providing a visual indication that the mode change is recognized.

16. The computer-implemented system of claim 9, wherein the first set of instructions, when executed by the mobile device, further cause implementing a first logical layer of touch screen gestures relating to control gestures to control display aspects while concurrently recognizing a second logical layer of touch screen gestures relating to signaling gestures that interact with the individually actionable content items.