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Method and System for Cognitive analysis, Prediction, and Correction of Input from Digital Pencils

IP.com Disclosure Number: IPCOM000248991D
Publication Date: 2017-Jan-25
Document File: 2 page(s) / 49K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for performing cognitive analysis of input received from a digital pencil on a touch screen device for predicting future input. The method and system also alerts a user about possible mistakes and performs auto-corrections.

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Method and System for Cognitive analysis , Prediction, and Correction of Input from Digital Pencils

Disclosed is a method and system for performing cognitive analysis of input received from a digital pencil on a touch screen device for predicting future input. The method and system also alerts a user about possible mistakes and performs auto-corrections.

In accordance with the method and system disclosed herein, usage of a digital pencil over a touch screen device is monitored. A cognitive engine running on the touch screen device analyzes how a user is currently using the digital pencil. The cognitive engine identifies a type of input provided the user. The type of input could a hand written text or a sketch. Thereafter, the Cognitive Engine interprets what has been created so far. The system employs text recognition and an image recognition/classifiers for interpreting the input.

Based on the interpretation, the cognitive engine predicts additional inputs that are likely to be added by the user based on being consistent with input that the user has already entered. For example for predicting text, the system predicts what additional letter or word are to be added next. This prediction takes into account wording that has gone before and words that are likely to be formed. In an embodiment, this can also be personalized to reflect a given user's vocabulary or interest area using existing art. On the other hand for sketches, the system predicts what the remaining sketch lines could be. Accordingly, the system predicts boundaries of an undrawn portions of the sketch.

Moving on, as the user continues to provide input using the digital pencil. This new input is analyzed to detect the type and the input is compared to the predictions for next input made by the system. If this input...