Method and apparatus for psychomotor and psycholinguistic prediction on touch based device

1. A method of key press prediction on a touch-based device, comprising:

registering a position of a touch press attempt on an icon among a plurality of icons presented on the touch-base device;

calculating a distance from a reference point of the icon to the position;

calculating a psychomotor probability for each icon in the plurality of icons;

calculating a linguistic probability for each icon in the plurality of icons;

calculating a predictive index for each icon in the plurality of icons based on the psychomotor probability and the linguistic probability; and

registering as a user selected icon, an icon with one among a highest predictive index and a probability higher than a predetermined absolute value,

wherein for the psychomotor probability calculation, a distribution of finger presses is defined by one among a distance of an x-y position from a center of an icon or key or by a distance of an x-y position from a centroid of pertinent finger presses related to the icon or key, and

wherein the distribution of finger presses is a parameter that is standardized using z-scores which allow the determination of a likelihood of an intended key press for specific keys.

2. The method of claim 1 , wherein the method calculates the psychomotor probability and the linguistic probability if there is no single icon with a larger probability than the predetermined absolute value.

3. The method of claim 1 , wherein the method performs a disambiguation function if there is no icon with a highest predictive index before registering the user selected icon.

4. The method of claim 1 , wherein the method performs a disambiguation function if there is no icon with a highest predictive index and no single icon with the larger probability than the predetermined absolute value before registering the user selected icon.

5. The method of claim 1 , wherein the method performs post-hoc auto-correction after detection of completion of a word.

6. The method of claim 1 , wherein the method determines for each touch press attempt on an icon if the touch press attempt is ambiguous and creates a list of candidate characters for a given position of the character in the word.

7. The method of claim 6 , wherein the method determines if a word is completed and then checks a dictionary for best word matches.

8. The method of claim 1 , wherein the variability of finger presses on a QWERTY key arrangement is determined a priori and used for the psychomotor probability calculation.

9. The method of claim 1 , wherein the distribution of finger key presses is captured a priori and used for the psychomotor probability calculation.

10. The method of claim 1 , wherein for the psychomotor probability calculation, a distribution of finger presses is defined by a distance of an x-y position from a reference point of an icon or a key or from a center of the icon or key, or from a centroid of touch presses.

11. The method of claim 1 , wherein for the psychomotor probability calculation, a distribution of finger presses is defined by a distance of an x-y position from a centroid of pertinent finger presses related to the icon or key.

12. The method of claim 1 , wherein the method constructs letter frequency tables to determine a likelihood of an occurrence of a letter based on the characters in front of a given letter.

13. The method of claim 1 , wherein the predictive index is computed by combining the psychomotor probability with the linguistic probability.

14. The method of claim 1 , wherein the method calculates the distance from the reference point of the icon by calculating from a center of the icon as the reference point.

15. The method of claim 1 , wherein the method calculates the distance from the reference point of the icon by calculating from a centroid of touch points collected a priori.

16. An electronic device, comprising:

a touch-based presentation device; and

a controller coupled to the touch-based presentation device operable to:

register a position of a touch press attempt on an icon among a plurality of icons presented on the touch-base device;

calculate a distance from a reference point of the icon;

calculate a psychomotor probability for each icon in the plurality of icons;

calculate a linguistic probability for each icon in the plurality of icons;

calculate a predictive index for each icon in the plurality of icons based on the psychomotor probability and the linguistic probability; and

register as a user selected icon, an icon with one among a highest predictive index and a probability higher than a predetermined absolute value,

wherein for the psychomotor probability calculation, a distribution of finger presses is defined by one among a distance of an x-y position from a center of an icon or key or by a distance of an x-y position from a centroid of pertinent finger presses related to the icon or key, and

wherein the distribution of finger presses is a parameter that is standardized using z-scores which allow the determination of a likelihood of an intended key press for specific keys.

17. The electronic device of claim 16 , wherein the electronic device is one among a cellular phone, a personal digital assistant, a laptop computer a smart phone, an MP3 player, and a remote controller.

18. A portable communication device, comprising:

a touch-based screen; and

a controller coupled to the touch-based screen operable to:

register a position of a touch press attempt on an icon among a plurality of icons presented on the touch-base device;

calculate a distance from a center of the icon;

calculate a psychomotor probability for each icon in the plurality of icons;

calculate a linguistic probability for each icon in the plurality of icons;

calculate a predictive index for each icon in the plurality of icons based on the psychomotor probability and the linguistic probability; and

register as a user selected icon, an icon with a highest predictive index,

wherein an icon comprises a key,

wherein for the psychomotor probability calculation, a distribution of finger presses is defined by a distance of an x-y position from a center of an key or by a distance of an x-y position from a centroid of pertinent finger presses related to the key, and

wherein the distribution of finger presses is a parameter that is standardized using z-scores which allow the determination of a likelihood of an intended key press for specific keys.