METHOD FOR INPUTTING TEXT

• US 20150212731A1
• Filed: 04/02/2015
• Published: 07/30/2015
• Est. Priority Date: 09/26/2008
• Status: Active Grant

• Current Assignee: Laszlo Karafiat
• Original Assignee: General Algorithms Ltd.
• Inventors: Karafiat, Laszlo
• Granted Patent: US 9,996,259 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/0233 Character input methods
• 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 3/0488 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

The invention relates to a method for the detection of the selection of a character of a character string to be input from a character set on an input surface, wherein the selection of at least one character of the character string is detected by evaluating a direction vector and/or by recognizing a shape of a gesture which is input on the input surface.

Claims

1. A method for detecting a selection of a character string to be input on an input surface, the character string comprising a number of first characters and a number of second characters, a reference template on the input surface comprising all the characters which can be used to form the character string, the method comprising:

accepting as input a gesture on the input surface, the gesture comprising a first segment and a second segment,

determining the first segment of the gesture and evaluating a direction of the first segment of the gesture to produce a direction vector of the first segment, the first segment having an origin point or an end point, and

determining the second segment of the gesture,

wherein the selection of at least one character of the number of first characters is detected by evaluating the origin point of or the end point of the direction vector of the first segment, and

wherein the selection of at least one character of the number of second characters is detected by recognizing a shape of the second segment of the gesture.

2. The method of claim 1, wherein circles, semicircles, bulges, bubbles, thorns, hooks, loops, waves, and combinations thereof are recognized as shapes of the second segment of the gesture.

3. The method of claim 2, wherein the circles, semicircles, bulges, bubbles, thorns, hooks, loops and waves are recognized at any position on the input surface, size, rotation or mirroring.

4. The method of claim 3, wherein depending on the position, size, rotation or mirroring of the shape of the second segment of the gesture different meanings are assigned to the recognized shape of the second segment.

5. The method of claim 4, wherein the different meanings comprise frequent letter pairs, frequent letter triplets, frequent prefixes or frequent suffixes of the language used.

6. The method of claim 4, wherein the different meanings comprise recalling frequent words of the language used.

7. The method of claim 4, wherein the different meanings comprise recalling user defined phrases from a dictionary.

8. The method of claim 1, wherein the direction vector is evaluated with respect to a reference point on the input surface, the reference point being the origin point or the end point of the direction vector, and wherein the reference point constitutes the center of the reference template.

9. The method of claim 8, wherein the origin point of or the end point of the direction vector of the first segment is the current character selected or the next character to be selected.

10. The method of claim 8, wherein neither the origin point of nor the end point of the direction vector of the first segment is the reference point.

11. The method of claim 1, wherein the input of a point on the area of the input surface assigned to a character is determined as the first segment of the gesture.

12. The method of claim 1, wherein the input of a stroke or a combined stroke on the area of the input surface is determined as the first segment of the gesture.

13. The method of claim 12, wherein for the stroke the selection of at least one character of the number of first characters is detected by evaluating the origin point of or the end point of the direction vector of the stroke.

14. The method of claim 12, wherein the combined stroke comprises two consecutive strokes, wherein for each stroke of the consecutive strokes a direction vector is produced and wherein for each direction vector of the combined stroke the origin point or the end point is determined.

15. The method of claim 14, wherein for each stroke of the combined stroke the selection of at least one character of the number of first characters is detected by evaluating the origin point of or the end point of the respective direction vector.

16. The method of claim 1, wherein the reference template comprises at least two disjoint subsets of characters.