Ink gestures

• US 6,938,222 B2
• Filed: 02/08/2002
• Issued: 08/30/2005
• Est. Priority Date: 02/08/2002
• Status: Expired due to Fees

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Gounares, Alexander, Hullender, Gregory
• Primary Examiner(s): Cabeca, John
• Assistant Examiner(s): Vu, Kieu D.
• Application Number:
  US10/068,009
• Publication Number:
  US 20030156145A1
• Time in Patent Office: 1,299 Days
• Field of Search: 715/863, 715/764, 715/700, 715/864, 345/173, 345/179, 345/180, 382/181, 382/187, 382/188, 382/189, 382/215, 382/202, 382/203
• US Class Current: 715/863
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text

Abstract

A system and process for capturing and implementing handwritten gestures is described. A user may use gestures to quickly command a pen-based input device to perform operations. Using the described embodiments, users may edit text or handwritten ink using a pen in a pen-based computing platform and have the edits affect the text or ink.

Claims

1. A method for determining if received strokes are gestures comprising:

receiving at least one stroke as a user input to a computing device;

normalizing said at least one stroke;

computing Chebychev polynomials for coordinates of the at least one stroke;

passing said polynomials to one or more previously computed Bayes nets for known gestures, each of said gestures being associated with a predetermined command to be executed by said computing device;

determining whether said polynomials correlate with one or more of said Bayes nets;

if said polynomials correlate with one or more of said Bayes nets, then causing said computing device to process said at least one stroke as a gesture and execute a corresponding command; and

if said polynomials do not correlate with any of said Bayes nets, then causing said computing device to withhold rendering said at least one stroke as ink until a predetermined plurality of non-correlating strokes have been accumulated, and rendering said plurality of strokes as ink after said plurality of non-correlating strokes have been accumulated.

2. The method according to claim 1, further comprising:

compressing said at least one stroke into a single point stream; and

passing said single point stream to said one or more Bayes nets.

3. The method according to claim 1, further comprising:

scaling the time entry of the points of said at least one stroke to create a scaled time; and

passing said scaled time to said one or more Bayes nets.

4. The method according to claim 3, further comprising:

computing stroke windings and duration of the at least one stroke; and

,

passing said scaled time to said one or more Bayes nets.

5. A computer-readable medium having computer-executable instructions for performing steps comprising:

receiving at least one stroke as a user input to a computing device;

normalizing said at least one stroke;

computing Chebychev polynomials for coordinates of the at least one stroke;

passing said polynomials to one or more previously computed Bayes nets for known gestures, each of said gestures being associated with a predetermined command to be executed by said computing device;

determining whether said polynomials correlate with one or more of said Bayes nets;

if said polynomials correlate with one or more of said Bayes nets, then causing said computing device to process said at least one stroke as a gesture and execute a corresponding command; and

if said polynomials do not correlate with any of said Bayes nets, then causing said computing device to withhold rendering said at least one stroke as ink until a predetermined plurality of non-correlating strokes have been accumulated, and rendering said plurality of strokes as ink after said plurality of non-correlating strokes have been accumulated.

6. The computer-readable medium of claim 5, further comprising computer-executable instructions for performing the steps of:

compressing said at least one stroke into a single point stream; and

passing said single point stream to said one or more Bayes nets.

7. The computer-readable medium of claim 5, further comprising computer-executable instructions for performing the steps of:

scaling the time entry of the points of said at least one stroke to create a scaled time; and

passing said scaled time to said one or more Bayes nets.

8. The computer-readable medium of claim 7, further comprising computer-executable instructions for performing the steps of:

computing stroke windings and duration of the at least one stroke; and

,

passing said scaled time to said one or more Bayes nets.