SYSTEM FOR DATA ENTRY USING MULTI-FUNCTION KEYS

• US 20100115402A1
• Filed: 03/13/2008
• Published: 05/06/2010
• Est. Priority Date: 03/14/2007
• Status: Abandoned Application

• Current Assignee: 602531 British Columbia Limited (WordLogic Corporation)
• Original Assignee: 602531 British Columbia Limited (WordLogic Corporation)
• Inventors: Knaven, Peter Johannes, Zubov, Ivan Yourievitch
• Application Number:
  US12/531,296
• Publication Number:
  US 20100115402A1
• Time in Patent Office: Days
• US Class Current: 715/261
• CPC Class Codes: G06F 3/0237 using prediction or retrieval techniques
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs

Abstract

In a method, apparatus, and system of data entry, input is monitored from a plurality of input keys, including a plurality of multi-function keys. A prefix associated with at least one entry in a dictionary is generated in response to input received from at least one of the plurality of input keys. A set of predicted following characters is generated each having a representation in the dictionary immediately subsequent to the position of the prefix in one or more dictionary entries. Each predicted following character is associated with a character in a dictionary entry and with a preference value associated with that character. A dynamically ordered sequence of available following characters is generated in respect of an actuated one of the plurality of multi-function keys, comprising one or more of the predicted following characters. When the dynamically ordered sequence of available following characters comprises a plurality of predicted following characters, the predicted following characters are arranged in an order based on associated preference values. A following character hypothesis is then generated comprising a character in the dynamically ordered sequence of available following characters.

Claims

1. A method of data entry, the method comprising:

monitoring input from a plurality of input keys of a computing device, wherein said plurality of input keys include a plurality of multi-function keys;

generating a prefix associated with at least one entry in a dictionary in response to input received from at least one of said plurality of input keys, said dictionary comprising;

a plurality of entries each comprising a plurality of characters arranged in an ordered sequence and representing a word, phrase, or character sequence; and

a plurality of preference values each representing a current estimated user preference to select at least one of said plurality of characters of at least one of said plurality of entries to be appended to a tail end of said prefix;

generating a set of predicted following characters, each predicted following character having a representation in said dictionary immediately subsequent to said prefix in said at least one of said plurality of entries, each predicted following character associated with one of said plurality of characters of at least one of said plurality of entries, and associated with one of said preference values;

generating a dynamically ordered sequence of available following characters in respect of an actuated one of said plurality of multi-function keys, comprising at least one of said predicted following characters, wherein when said dynamically ordered sequence of available following characters comprises a plurality of predicted following characters, said plurality of predicted following characters are arranged in an order based on said preference values associated with said plurality of predicted following characters;

generating a following character hypothesis comprising a character in said dynamically ordered sequence of available following characters; and

causing a representation of said dynamically ordered sequence of available following characters to appear on a display associated with the computing device.

2. The method of claim 1 wherein generating a prefix further comprises modifying a reference to a node in said dictionary, said node representing one of said plurality of characters of at least one of said plurality of entries in said dictionary and modifying a dictionary search path data structure.

4. The method of claim 1 wherein generating a prefix further comprises generating a plurality of prefixes, each corresponding to at least one entry in said dictionary, and wherein each of said predicted following characters is associated with one of said plurality of prefixes;

and further comprising multiplying said preference values associated with said predicted following characters by a respective prefix preference value weighting coefficient.

6. The method of claim 1 further comprising multiplying one of said preference values associated with said predicted following characters by a whole number equal to a number of words and partial words in said prefix.

7. The method of claim 1 wherein generating a dynamically ordered sequence of available following characters further comprises associating at least one of said predicted following characters with said actuated one of said multi-function keys of the computing device.

9. The method of claim 1 further comprising generating an ordered sequence of available following characters, wherein generating an ordered sequence of available following characters further comprises:

ordering said set of predicted following characters according to said preference values associated with said predicted following characters; and

removing all occurrences of a unique character in said set of predicted following characters except an occurrence of said unique character having a highest associated preference value among all occurrences of said unique character in said set of predicted following characters.

10. The method of claim 1 further comprising generating an ordered sequence of available following characters, wherein generating an ordered sequence of available following characters further comprises:

for each unique character in said set of predicted following characters, combining all occurrences of said unique character in said set of predicted following characters into a single occurrence of said unique character having an associated preference value equal to a sum of all of said preference values associated with all occurrences of said unique character in said set of predicted following characters; and

ordering said set of predicted following characters according to said associated preference values.

12. The method of claim 1 wherein generating a dynamically ordered sequence of available following characters associated with an actuated one of said plurality of multi-function keys further comprises generating a dynamically ordered sequence of available following characters comprising at least one character from a preliminary ordered sequence of available following characters associated with said actuated one of said plurality of multi-function keys.

13. The method of claim 1 wherein generating a following character hypothesis further comprises:

generating a first following character hypothesis in response to a first press of said actuated one of said plurality of multi-function keys;

wherein said first press of said actuated one of said plurality of multi-function keys is associated with at least one of;

occurrence for a minimum period of time greater than a period of time from a most recent previous press of said actuated one of said plurality of multi-function keys; and

a user selection of one of said plurality of input keys other than said actuated one of said plurality of multi-function keys after said most recent previous press of said actuated one of said plurality of multi-function keys and before said first press of said actuated one of said plurality of multi-function keys; and

wherein said first following character hypothesis is a first character in said dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys.

14. The method of claim 10 wherein generating a following character hypothesis further comprises:

generating a revised following character hypothesis in response to a subsequent press of said actuated one of said plurality of multi-function keys;

wherein said first press of said actuated one of said plurality of multi-function keys is not more than said first period of time from said most recent previous press of said actuated one of said plurality of multi-function keys, and wherein one of said plurality of input keys other than said actuated one of said plurality of multi-function keys was not pressed after said most recent previous press of said actuated one of said plurality of multi-function keys and before said first press of said actuated one of said plurality of multi-function keys; and

wherein said revised following character hypothesis is a character in said dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys that is cyclically subsequent to a most recent following character hypothesis.

15. The method of claim 1 wherein generating a following character hypothesis comprises:

generating a first following character hypothesis in response to a first press of said actuated one of said plurality of multi-function keys;

wherein a most recent previous press of one of said plurality of input keys before said first press of said actuated one of said plurality of multi-function keys was not a press of said actuated one of said plurality of multi-function keys; and

wherein said first following character hypothesis is a first character in said dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys.

16. The method of claim 12 wherein generating a following character hypothesis further comprises:

generating a revised following character hypothesis in response to a continuous press of said actuated one of said plurality of multi-function keys throughout a second period of time from a beginning of said continuous press of said actuated one of said plurality of multi-function keys or throughout a third period of time from a most recent generation of a revised following character hypothesis;

wherein said revised following character hypothesis is a character in said dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys that is cyclically subsequent to a most recent following character hypothesis.

17. The method of claim 12 wherein generating a following character hypothesis further comprises:

generating a revised following character hypothesis in response to a continuous press of said actuated one of said plurality of multi-function keys throughout a second period of time from a beginning of said continuous press of said actuated one of said plurality of multi-function keys;

wherein said revised following character hypothesis is a character in said dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys that is cyclically subsequent to a most recent following character hypothesis.

18. The method of claim 1 wherein generating a dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys is in response to actuation of said actuated one of said plurality of multi-function keys.

19. The method of claim 1 wherein generating a dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys is in response to actuation of one of said plurality of input keys.

20. The method of claim 10 wherein generating a dynamically ordered sequence of available following characters in respect of said actuated one of said plurality of multi-function keys is in response to a passage of said minimum period of time from a most recent press of one of said plurality of multi-function keys.

22. The method of claim 1 further comprising causing a multi-function key character selection dialog to appear on the display of the computing device, wherein generating a following character hypothesis comprises responding to user selection, via at least one of the plurality of input keys, of a character represented in said multi-function key character selection dialog.

24. The method of claim 1 further comprising causing a searchable list comprising at least one predicted completion candidate to appear on the display.

27. The method claim 19 further comprising causing said searchable list to be resized in response to actuation of at least one of said plurality of input keys.

29. The method of claim 1 further comprising causing a representation of said dynamically ordered sequence of available following characters to appear on the display.

3. (canceled)

5. (canceled)

8. (canceled)

11. The method of 1 further comprising generating an ordered sequence of available following characters, wherein when said dynamically ordered sequence of available following characters includes said plurality of predicted following characters, and said plurality of predicted following characters are arranged in an order based on said ordered sequence of available following characters.

21. (canceled)

23. (canceled)

25-26. -26. (canceled)

28. (canceled)

30-31. -31. (canceled)

32. A data entry system comprising:

means for monitoring input from a plurality of input keys, wherein said plurality of input keys include a plurality of multi-function keys;

means for generating a prefix associated with at least one entry in a dictionary in response to input received from at least one of said plurality of input keys, said dictionary comprising;

a plurality of entries each comprising a plurality of characters arranged in an ordered sequence and representing a word, phrase, or character sequence; and

a plurality of preference values each representing a current estimated user preference to select at least one of said plurality of characters of at least one of said entries to be appended to a tail end of said prefix;

means for generating a set of predicted following characters, each predicted following character having a representation in said dictionary immediately subsequent to said prefix in said at least one of said plurality of entries, each predicted following character associated with one of said plurality of characters of at least one of said plurality of entries, and associated with one of said preference values;

means for generating a dynamically ordered sequence of available following characters in respect of an actuated one of said plurality of multi-function keys, comprising at least one of said predicted following characters, wherein when said dynamically ordered sequence of available following characters comprises a plurality of predicted following characters, said plurality of predicted following characters are arranged in an order based on said preference values associated with said plurality of predicted following characters; and

means for generating a following character hypothesis comprising a character in said dynamically ordered sequence of available following characters.