Human-to-mobile interfaces

• US 20090055732A1
• Filed: 03/23/2006
• Published: 02/26/2009
• Est. Priority Date: 03/23/2005
• Status: Active Grant

• Current Assignee: Keypoint Technologies (Uk) Limited
• Original Assignee: Keypoint Technologies (Uk) Limited
• Inventors: Patel, Sanjay, Motaparti, Sunil
• Granted Patent: US 9,798,717 B2
• 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 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/242 Dictionaries
• CPC Class Codes: G06F 40/274 Converting codes to words; Guess-ahead of partial word inputs
• CPC Class Codes: G06F 40/279 Recognition of textual entities

Abstract

A method of for a mobile telephone data input apparatus comprising a plurality of data input keys having multi-character indicia, said method adapted to facilitate a reduction in the number of user interactions required to create a given data string to less than the number of characters within said data string, the method comprising the following steps: storing a set of data strings each with a priority indicator associated therewith, wherein the indicator is a measure of a plurality of derivatives associated with the data string; recognising an event; looking up the most likely subsequent data string to follow the event from the set of data strings based on one or more of the plurality of derivatives; ordering the data strings for display based on the priority indicator of that data string; if the required subsequent data string is included in the list selecting the required subsequent data string; if the required subsequent data string is not included in the list entering a event and repeating steps b to e; updating the priority indicator of the selected data string; updating the set of data strings based on the updated priority indicator.

Claims

1. A method of character recognition for a mobile telephone data input apparatus comprising a plurality of data input keys having multi-character indicia, said method adapted to facilitate a reduction in the number of user interactions required to create a given data string to less than the number of characters within said data string, the method comprising the following steps:

a. storing a set of data strings within a multi-dimension vector each with a priority indicator associated therewith, wherein the indicator is a measure of a plurality of derivatives associated with the data string;

b. recognising an event;

c. looking up the most likely subsequent data string to follow the event from the set of data strings within the multi-dimension vector based on one or more of the plurality of derivatives;

d. ordering the data strings for display based on the priority indicator of that data string;

e. if the required subsequent data string is included in the list selecting the required subsequent data string;

f. if the required subsequent data string is not included in the list entering a event and repeating steps b to e;

g. updating the priority indicator of the selected data string;

h. updating the set of data strings based on the updated priority indicator.

2. The method of claim 1, further comprising providing the derivatives as a plurality of etymological and ontological derivatives.

3. The method of claim 1, further comprising providing the derivatives to include one or more of a timestamp, a cognitive coherence, a perceptual index, an associative index, a grammar orient, a correlative weight, an inference ratio and a pattern factorisation.

4. The method of claim 1, further comprising determining the priority indicator from qualitative and quantitative data related to each data string in the set.

5. The method of claim 1, further comprising determining the priority indicator from one or more of the following:

a. statistical information;

b. probability information;

c. data string analysis information;

d. dictionary priority;

e. dictionary chains;

f. data string maps between other data strings; and

g. data string translations.

6. The method of claim 1, wherein the step of recognising an event comprises recognising one or more of a character, a graph, a multi-graph, a data string, a context, a symbol or any other user or machine generated input.

7. The method of claim 1, further comprising providing the data set as a dictionary including a plurality of words, phrases and any other data string which might be used in the communication of a message.

8. The method of claim 7, further comprising adding data strings to the dictionary as they are entered by a user.

9. The method of claim 1, further comprising updating all priority indicators dynamically in real-time.

10. The method of claim 1, further comprising maintaining lookup maps between two or more data dictionaries such that a given data string in a first data dictionary is mapped to a data string or strings in one or more other data dictionaries for selection by a user.

11. The method of claim 10, further comprising ordering a data string in a first data dictionary that is mapped to a plurality of data strings in one or more other data dictionaries based on the priority indicator to enable selection by a user.

12. The method of claim 1, further comprising displaying a list of the most likely subsequent data string in an order based on the priority indicator to enable the user to select the required subsequent data string.

13. A character recognition apparatus for a mobile telephone comprising a plurality of data input keys having multi-character indicia, said apparatus adapted to facilitate a reduction in the number of user interactions required to create a given data string to less than the number of characters within said data string, the apparatus comprising:

a. a memory for storing a set of data strings within a multi-dimension vector each with a priority indicator associated therewith, wherein the indicator is a measure of a plurality of derivatives associated with the data string;

b. an event recognition module for recognising an event;

c. means for looking up the most likely subsequent data string to follow the event from the set of data strings within the multi-dimension vector based on one or more of the plurality of derivatives;

d. display means for displaying a list the most likely subsequent data string in an order based on the priority indicator of that data string;

e. means for selecting the required subsequent data string if it is included in the list;

f. data entry means for entering an event;

g. means for updating the priority indicator of any selected data string and the set of data strings based on the updated priority indicator.

14. A character recognition apparatus according to claim 13, wherein the plurality of derivatives comprise a plurality of etymological and ontological derivatives.

15. A character recognition apparatus according to claim 13, wherein the derivatives include one or more of a timestamp, a cognitive coherence, a perceptual index, an associative index, a grammar orient, a correlative weight, an inference ratio and a pattern factorisation.

16. A character recognition apparatus according to claim 13, wherein the priority indicator is determined from qualitative and quantitative data related to each data string in the set.

17. A character recognition apparatus according to claim 13, wherein the priority indicator includes one or more of the following:

a. statistical information;

b. probability information;

c. data string analysis information;

d. dictionary priority;

e. dictionary chains;

f. data string maps between other data strings; and

g. data string translations.

18. A character recognition apparatus according to claim 13, wherein the event includes one or more of a character, a graph, a multi-graph, a data string, a context, a symbol or any other user or machine generated input.

19. A character recognition apparatus according to claim 13, wherein the data set is a dictionary including a plurality of words, phrases and any other data string which might be used in the communication of a message.

20. A character recognition apparatus according to claim 19, wherein data strings are added to the dictionary as they are entered by a user.

21. A character recognition apparatus according to claim 13, wherein the priority indicators are updated dynamically in real-time.

22. A character recognition apparatus according to claim 13, further comprising a lookup map between two or more data dictionaries such that a given data string in a first data dictionary is mapped to a data string or strings in one or more other data dictionaries for selection by a user.

23. A character recognition apparatus according to claim 22, further comprising ordering a data string in a first data dictionary that is mapped to a plurality of data strings in one or more other data dictionaries based on the priority indicator to enable selection by a user.

24. A character recognition apparatus according to claim 13, wherein the most likely subsequent data string are ordered based on the priority indicator to enable the user to select the required subsequent data string.

25. A character recognition apparatus according to claim 13, further including configuration means adapted to allow a user to selectively enable or disable physical interactivity reduction characteristics of the interface system which facilitate a reduction in the number of key presses required to create a data string.

26. A character recognition apparatus according to claim 13, wherein the physical interactivity reduction characteristics are selected from the group comprising but not limited to:

a. automatically entering a space after a selected data string;

b. limitation of displayed mnemonics to those having a total number of characters greater than the number of key presses required to display said mnemonic on the data display means;

c. automatically performing forward or backward translations between mnemonics or abbreviations or acronyms and their corresponding full data strings;

d. prioritisation of data strings created by any given data input key having multi-character indicia, said prioritisation being based on selected qualitative and/or quantitative information relating to an initial character which matches only one of the indicia on the data input key; and

e. prioritisation of data strings created by any given data input key having multi-character indicia, said prioritisation being based on selected qualitative and/or quantitative information relating to an initial character, which matches any of the indicia on the data, input key.

27. A mobile phone including a character recognition apparatus according to claim 13.