TOUCH SENSOR GESTURE RECOGNITION FOR OPERATION OF MOBILE DEVICES

• US 20130268900A1
• Filed: 12/22/2010
• Published: 10/10/2013
• Est. Priority Date: 12/22/2010
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Dimitri Negroponte
• Inventors: Ferren, Bran, Hillis, W. Daniel, Negroponte, Dimitri, Beal, David, Sarrett, James
• Application Number:
  US13/992,699
• Publication Number:
  US 20130268900A1
• Time in Patent Office: Days
• US Class Current: 715/863
• 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

1-12. -12. (canceled)

13. 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 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

wherein the processor is to determine a first intended action of a user based on an interpretation of a first gesture using the chosen gesture identification algorithm.

14. The mobile device of claim 13, wherein the processor is to choose a different one of the plurality of gesture identification algorithms for a second application or function.

15. The mobile device of claim 13, wherein the processor is to choose a different one of the plurality of gesture identification algorithms for a second function of the application.

16. The mobile device of claim 13, wherein the plurality of sensor elements includes a plurality of capacitive sensor elements.

17. The mobile device of claim 16, wherein the plurality of sensor elements includes an optical sensor.

18. A method comprising:

loading an application on a mobile device, the mobile device including a touch sensor;

identifying one or more dominant actions for the application or a function of the application;

choosing a gesture identification algorithm of a plurality of gesture identification algorithms for the one or more dominant actions;

detecting a first gesture with the touch sensor;

interpreting the first gesture using the gesture identification algorithm, where interpreting the first gesture includes determining that a first action corresponds to the first gesture; and

implementing the first action in the current application or function.

19. The method of claim 18, wherein the processor is to choose a different one of the plurality of gesture identification algorithms for a second application or function.

20. The method of claim 18, wherein the processor is to identify a different one of the plurality of gesture identification algorithms for a second function of the application.

21. The method of claim 18, 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.

22-39. -39. (canceled)