CHARACTER SELECTION ON A DEVICE USING OFFSET CONTACT-ZONE

• US 20090231282A1
• Filed: 03/14/2008
• Published: 09/17/2009
• Est. Priority Date: 03/14/2008
• Status: Abandoned Application

• Current Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Original Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Inventors: FYKE, Steven
• Application Number:
  US12/049,094
• Publication Number:
  US 20090231282A1
• Time in Patent Office: Days
• US Class Current: 345/169
• CPC Class Codes: G06F 3/0237 using prediction or retrieval techniques
• CPC Class Codes: G06F 3/0426 tracking fingers with respect to a virtual keyboard projected or printed on the surface virtual keyboards on touch screens G06F3/04886
• 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

A mobile device having a housing including a display screen mounted therein as well as a touch-sensitive keyboard and microprocessor is disclosed. The microprocessor is communicatively connected between the display screen and the touch-sensitive keyboard. A program that runs on the microprocessor is also presented. The microprocessor-run program identifies an offset contact-zone on the touch-sensitive keyboard that corresponds to a proximate visible input key. Additionally, the microprocessor-run program normalizes the identified offset contact-zone into registration with the corresponding proximate visible input key so that sensed contacts at the offset contact-zone actuate an input to the device associated with the corresponding visible input key.

Claims

1. A method for aligning a visible input key on a touch-sensitive keyboard of a mobile device with a corresponding offset contact-zone identified utilizing a microprocessor-run program that includes a corrective-learning routine, said method comprising:

identifying an offset contact-zone on the touch-sensitive keyboard that corresponds to a proximate visible input key utilizing a corrective-learning routine; and

normalizing the identified offset contact-zone into registration with the corresponding proximate visible input key so that sensed contacts at the offset contact-zone actuates an input to the mobile device associated with the corresponding visible input key.

2. The method as recited in claim 1, further comprising associating the offset contact-zone with a corresponding character to form a corrected-to-character association.

3. The method as recited in claim 2, further comprising generating strike location data, and utilizing the corrective-learning routine, associating each strike location data with a corrected-to-character.

4. The method as recited in claim 1, wherein the touch-sensitive keyboard includes a plurality of characters, each associated with a location on the keyboard.

5. The method as recited in claim 4, further comprising identifying a plurality of offset contact-zones that correspond to proximately located characters.

6. The method as recited in claim 5, further comprising associating each of the offset contact-zones with a corresponding character to form a corrected-to-character association.

7. The method as recited in claim 6, further comprising generating a plurality of strike location data, and utilizing the corrective-learning routine, associating each strike location data with a corresponding corrected-to-character.

8. The method as recited in claim 4, wherein said plurality of characters includes numbers arranged in a telephone arrangement according to ITU Standard E.161.

9. The method as recited in claim 3, further comprising defining the offset contact-zone based on a distance between an aggregation of the plurality of strike location data and the associated visible input key.

10. The method as recited in claim 9, wherein said distance is measured from the centroid of the aggregation of the plurality of strike location data to the centroid of the associated visible input key.

11. A mobile device capable of aligning a visible input key on a touch-sensitive keyboard of the mobile device with a corresponding offset contact-zone identified utilizing a microprocessor-run program that includes a corrective-learning routine, said mobile device comprising:

a housing having a display screen mounted and a touch-sensitive keyboard thereon;

a microprocessor communicatively connected between the display screen and the touch-sensitive keyboard; and

a microprocessor-run program that identifies an offset contact-zone on the touch-sensitive keyboard that corresponds to a proximate visible input key and normalizes the identified offset contact-zone into registration with the corresponding proximate visible input key so that sensed contacts at the offset contact-zone actuates an input to the mobile device associated with the corresponding visible input key.

12. The mobile device as recited in claim 11, wherein the microprocessor-run program associates the offset contact-zone with a corresponding character to form a corrected-to-character association.

13. The mobile device as recited in claim 12, wherein the microprocessor-run program generates strike location data and utilizes the corrective-learning routine to associate each strike location data with a corrected-to-character.

14. The mobile device as recited in claim 11, wherein the touch-sensitive keyboard includes a plurality of characters, each associated with a location on the keyboard.

15. The mobile device as recited in claim 14, wherein the microprocessor-run program identifies a plurality of offset contact-zones that correspond to proximately located characters.

16. The mobile device as recited in claim 15, wherein the microprocessor-run program associates each of the offset contact-zones with a corresponding character to form a corrected-to-character association.

17. The mobile device as recited in claim 16, wherein the microprocessor-run program generates a plurality of strike location data and utilizes the corrective-learning routine to associate each strike location data with a corresponding corrected-to-character.

18. The mobile device as recited in claim 11, wherein the touch-sensitive keyboard has a plurality of visible input keys, each associated with a location on the keyboard and having at least one character associated therewith.

19. The mobile device as recited in claim 18, wherein the microprocessor-run program identifies a plurality of offset contact-zones on the touch-sensitive keyboard that each correspond to one of the visible input keys.

20. The mobile device as recited in claim 19, wherein the microprocessor-run program associates each of the offset contact-zones with a corresponding character to form a corrected-to-character association.

21. The mobile device as recited in claim 20, wherein the microprocessor-run program generates a plurality of strike location data and utilizes the corrective-learning routine to associate each of said plurality of strike location data to a corrected to character.

22. The mobile device as recited in claim 13, further comprising defining the contact strike-zone based on a distance between an aggregation of the plurality of strike location data and the associated visible input key.

23. The mobile device as recited in claim 22, wherein said distance is measured from the centroid of the aggregation of the plurality of strike location data to the centroid of the associated visible input key.

24. The mobile device as recited in claim 14, wherein said plurality of characters includes numbers arranged according to ITU Standard E.161.