Alphanumeric data entry apparatus and method using multicharacter keys of a keypad

• US 8,296,484 B2
• Filed: 03/30/2006
• Issued: 10/23/2012
• Est. Priority Date: 03/30/2006
• Status: Active Grant

• Current Assignee: Harris Global Communications, Inc. (L3Harris Technologies, Inc.)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: Schmiedlin, Joshua L., Cahoon, William M. D.
• Primary Examiner(s): Unelus, Ernest
• Application Number:
  US11/394,021
• Publication Number:
  US 20070237310A1
• Time in Patent Office: 2,399 Days
• Field of Search: 710/67, 345/168, 379/93.18, 706/20, 706/21, 706/47
• US Class Current: 710/67
• CPC Class Codes: G06F 3/0237 using prediction or retrieval techniques

Abstract

A method and apparatus for predicting the desired alphanumeric character of a depressed multi-character key of a reduced-key keypad based upon the previous selection of characters. Rule trees defining the prediction associated with a depressed key based upon the previous selection of characters are dynamically built upon use to readily function with all language styles and vocabularies. Moreover, the rule trees are weighted to increase the probability of predicting the desired character and to be quickly adaptable to different users having different language styles or vocabularies.

Claims

1. A method for predicting characters input into a reduced-key keypad comprising a plurality of multi-character keys, the method comprising:

using a processor cooperating with the reduced-key keypad to populate a multi-level rule tree comprising a plurality of rules, each rule predicting a character in a current input word, rules in a respective level predicting a numbered character position in the current input word;

said multi-level rule tree comprising a plurality of branches connecting the plurality of rules together;

each branch associated with a respective two-character sequence in the current input word, an upper level rule for predicting a first character in the respective two-character sequence, and a lower level rule for predicting a second character in the respective two-character sequence, each rule having a counter value representing a number of correct predictions;

for each previously correct prediction of the current input word using a respective rule, using the processor to increment the corresponding counter value in the multi-level rule tree to weight the respective rule;

using the processor to delete from the multi-level rule tree at least one rule having a weight value less than a threshold value; and

using the processor to weight subsequent predictions of other input characters based upon the counter values in the multi-level rule tree.

2. The method of claim 1 further comprising for each previously incorrect prediction of the current input word using the respective rule, maintaining the corresponding counter value to weight the respective rule.

3. The method of claim 1 further comprising updating the multi-level rule tree after each input character is selected.

4. The method of claim 1 further comprising updating the multi-level rule tree after all the input characters of an inputted word are selected.

5. The method of claim 1 further comprising updating the multi-level rule tree after all the input characters of a plurality of inputted words are selected.

6. The method of claim 1 wherein the predicting of the current input word comprises predicting the current input word based upon a plurality of preceding inputted characters.

7. The method of claim 1 further comprising normalizing the weighting of subsequent predictions of other input characters based upon the number of times the previous predictions correctly predicted the current input word.

8. The method of claim 1 wherein the predicting of the current input word is independent of a language of the current input word.

9. The method of claim 1 further comprising when the current input word is a first character of an inputted word, displaying the key characters associated with the selected multi-character key one at a time allowing selection of the inputted character.

10. The method of claim 9 wherein the displaying all the key characters associated with the key one at a time occurs in a predicted sequence.

11. The method of claim 9 further comprising:

accessing a first character rule list corresponding to the first character of the inputted word; and

processing a multi-level rule tree including a multi-level hierarchical tree of rules for sequentially predicting and displaying of succeeding word characters of the inputted word.

12. An electronic device comprising:

a reduced-key keypad comprising a plurality of multi-character keys; and

a processor cooperating with said reduced-key keypad for predicting characters input therein and being configured to

populate a multi-level rule tree comprising a plurality of rules, each rule configured to predict a character in a current input word, rules in a respective level configured to predict a numbered character position in the current input word, the multi-level rule tree comprising a plurality of branches connecting the plurality of rules together,

each branch being associated with a respective two-character sequence in the current input word, an upper level rule configured to predict a first character in the respective two-character sequence, and a lower level rule configured to predict a second character in the respective two-character sequence, each rule having a counter value representing a number of correct predictions,

for each previously correct prediction of the current input word using a respective rule, increment the corresponding counter value in the multi-level rule tree to weight the respective rule,

delete from the multi-level rule tree at least one rule having a weight value less than a threshold value, and

weight subsequent predictions of other input characters based upon the counter values in the multi-level rule tree.

13. The electronic device of claim 12 wherein said processor is configured to for each previously incorrect prediction of the current input word using the respective rule, maintain the corresponding counter value to weight the respective rule.

14. The electronic device of claim 12 wherein said processor is configured to update the multi-level rule tree after each input character is selected.

15. The electronic device of claim 12 wherein said processor is configured to update the multi-level rule tree after all the input characters of an inputted word are selected.

16. The electronic device of claim 12 wherein said processor is configured to update the multi-level rule tree after all the input characters of a plurality of inputted words are selected.

17. The electronic device of claim 12 wherein said processor is configured to predict the current input word by at least predicting the current input word based upon a plurality of preceding inputted characters.

18. The electronic device of claim 12 wherein said processor is configured to normalize the weighting of subsequent predictions of other input characters based upon the number of times the previous predictions correctly predicted the current input word.

19. The electronic device of claim 12 wherein said processor is configured to predict the current input word independently of a language of the current input word.

20. The electronic device of claim 12 wherein said processor is configured to, when the current input word is a first character of an inputted word, display the key characters associated with the selected multi-character key one at a time allowing selection of the inputted character.

21. The electronic device of claim 20 wherein said processor is configured to display all the key characters associated with the key one at a time occurs in a predicted sequence.

22. The electronic device of claim 20 wherein said processor is configured to:

access a first character rule list corresponding to the first character of the inputted word; and

process a multi-level rule tree including a multi-level hierarchical tree of rules for sequentially predicting and displaying of succeeding word characters of the inputted word.