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Handwriting recognition with natural user input on multitouch surfaces

  • US 9,665,769 B2
  • Filed: 08/18/2015
  • Issued: 05/30/2017
  • Est. Priority Date: 08/18/2015
  • Status: Expired due to Fees
First Claim
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1. A method for character identification on a multi-touch surface, the method comprising:

  • presenting, by one or more computer processors, a list of a plurality of general classifiers, and, in response to a user selecting one or more general classifiers from the list of the plurality of general classifiers, storing, by one or more computer processors, the one or more general classifiers in a profile associated with the user;

    receiving, by one or more computer processors, data indicating a hand is on a touch-sensitive surface;

    identifying, by one or more computer processors, a position of the hand;

    determining, by one or more computer processors, a change in the position of the hand;

    identifying, by one or more computer processors, the one or more general classifiers from the profile;

    prompting, by one or more computer processors, the user to write a test character on the touch-sensitive surface;

    selecting, by one or more computer processors, one or more additional general classifiers based, at least in part, on a written test character on the touch-sensitive surface;

    identifying, by one or more computer processors, one or more specific classifiers from a plurality of specific classifiers based, at least in part, on a training phase;

    modifying, by one or more computer processors, an algorithm based, at least in part, on the identified one or more general classifiers and the identified one or more specific classifiers;

    the modified algorithm analyzing, by one or more computer processors, the change in the position of the hand;

    the modified algorithm generating, by one or more computer processors, a list of characters that correspond to the analyzed change in the position of the hand, based, at least in part, on the one or more general classifiers; and

    to refine a characterization of the change in the position of the hand, selecting, by one or more computer processors, a character from the generated list of characters, based, at least in part, on the analyzed change in the position of the hand and the one or more specific classifiers.

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