TOUCH SENSOR GESTURE RECOGNITION FOR OPERATION OF MOBILE DEVICES

• US 20170068440A1
• Filed: 11/15/2016
• Published: 03/09/2017
• Est. Priority Date: 12/22/2010
• Status: Abandoned Application

• Current Assignee: Bran Ferren, David Beal, Dimitri Negroponte, James Sarrett, W. Daniel Hillis
• Original Assignee: Bran Ferren, David Beal, James Sarrett, W. Daniel Hillis
• Inventors: BEAL, David, SARRETT, James, FERREN, Bran, HILLIS, W. Daniel, NEGROPONTE, Dimitri
• Application Number:
  US15/352,474
• Publication Number:
  US 20170068440A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2203/04106 Multi-sensing digitiser, i.e. digitiser using at least two different sensing technologies simultaneously or alternatively, e.g. for detecting pen and finger, for saving power or for improving position detection
• CPC Class Codes: G06F 3/0416 Control or interface arrangements specially adapted for digitisers
• CPC Class Codes: G06F 3/042 by opto-electronic means
• CPC Class Codes: G06F 3/044 by capacitive means
• CPC Class Codes: G06F 3/04845 for image manipulation, e.g. dragging, rotation, expansion or change of colour
• CPC Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06F 3/0485 Scrolling or panning
• 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: G06F 3/04886 by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus

Abstract

Touch sensor gesture recognition for operation of mobile devices. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the mobile device divides the plurality of sensor elements into multiple zones, and the mobile device interprets the gestures based at least in part on which of the zones detects the gesture. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, where the processor is to identify one or more dominant actions for an active application or a function of the active application and is to choose a gesture identification algorithm from a plurality of gesture recognition algorithms based at least in part on identified one or more dominant actions, and is to determine a first intended action of a user based on an interpretation of a first gesture using the chosen gesture identification algorithm. An embodiment of a mobile device includes a touch sensor for the detection of gestures, the touch sensor including multiple sensor elements, and a processor, the processor to interpret the gestures detected by the touch sensor, and a mapping between touch sensor data and actual positions of user gestures, the mapping of data being generated by an artificial neural network, where the processor utilizes the mapping at least in part to interpret the gestures.

Claims

1. A mobile device comprising:

a touch sensor for the detection of gestures, the touch sensor including a plurality of sensor elements; and

a processor, the processor to interpret the gestures detected by the touch sensor;

wherein;

the mobile device divides the plurality of sensor elements into a plurality of zones; and

the mobile device interprets the gestures based at least in part on which of the plurality of zones detects the gesture.

2. The mobile device of claim 1, where the mobile device divides the plurality of sensor elements into zones based at least in part on an active application run by the processor.

3. The mobile device of claim 1, wherein the mobile device divides the plurality of sensor elements based at least in part on an instruction received from a user of the mobile device.

4. The mobile device of claim 1, wherein the mobile device ignores a gesture that is detected by two or more of the plurality of zones.

5. The mobile device of claim 1, wherein the mobile device interprets a gesture that is detected by two or more of the plurality of zones as a separate gesture in each of the two or more zones.

6. The mobile device of claim 1, wherein the plurality of sensor elements includes a plurality of capacitive sensor elements.

7. The mobile device of claim 6, wherein the plurality of sensor elements includes an optical sensor.

8. A method comprising:

running an application on a mobile device, the mobile device including a touch sensor for the detection of gestures;

if a touch sensor of the mobile device is divided into zones, interpreting gestures according to the zones of the touch sensor;

detecting a first gesture using the touch sensor;

if the first gesture is performed in a single zone, interpreting the first gesture as defined for the single zone; and

if the first gesture is not performed in a signal zone, interpreting the first gesture in a defined manner for gestures occurring in multiple zones.

9. The method of claim 8, wherein the defined manner for gestures occurring in multiple zones includes ignoring the first gesture as an error.

10. The method of claim 8, wherein the defined manner for gestures occurring in multiple zones includes interpreting the first gesture as a separate gesture in each of a plurality of zones within which the first gesture is performed.

11. The method of claim 8, further comprising dividing the touch sensor into zones in response to a request from a user of the mobile device.

12. The method of claim 8, wherein detecting the first gesture using the touch sensor includes detecting a gesture made by a thumb or finger of a user on the touch sensor.

13. A non-transitory computer-readable storage medium having stored thereon data representing sequences of instructions that, when executed by a processor, cause the processor to perform operations comprising:

running an application on a mobile device, the mobile device including a touch sensor for the detection of gestures;

if a touch sensor of the mobile device is divided into zones, interpreting gestures according to the zones of the touch sensor;

detecting a first gesture using the touch sensor;

if the first gesture is performed in a single zone, interpreting the first gesture as defined for the single zone; and

if the first gesture is not performed in a signal zone, interpreting the first gesture in a defined manner for gestures occurring in multiple zones.

14. The medium of claim 13, wherein the defined manner for gestures occurring in multiple zones includes ignoring the first gesture as an error.

15. The medium of claim 13, wherein the defined manner for gestures occurring in multiple zones includes interpreting the first gesture as a separate gesture in each of a plurality of zones within which the first gesture is performed.

16. The medium of claim 13, further comprising instructions that, when executed by the processor, cause the processor to perform operations comprising:

dividing the touch sensor into zones in response to a request from a user of the mobile device.

17. The medium of claim 13, wherein detecting the first gesture using the touch sensor includes detecting a gesture made by a thumb or finger of a user on the touch sensor.