Electronic handwriting processor with derivative coordinate modeling
AssigneePearson Education, Inc.
InventorZhaodong Wang
Life of this patent
Estimating the term…
Abstract
An improved machine learning system is provided. For example, a content management server may provide real-time analysis of a user's handwriting to assess the user's knowledge of a language, including using a convolution neural network method.
Claims14
A computer-implemented method for automated handwriting assessment comprising:
- generating a digital representation of a handwritten user input, the digital representation comprising a first pixel and a second pixel;
- identifying an x-coordinate and a y-coordinate of a portion of the digital representation of the handwritten user input;
- generating derivatives of the x-coordinate and the y-coordinate of the portion of the digital representation of the handwritten user input;
- generating a feature set from the derivatives of the x-coordinate and the y-coordinate of the portion of the digital representation of the handwritten user input;
- generating an observation score with a first model;
- applying a second model to the observation score;
- generating character level hypotheses;
- and
- generating a word prediction based on the character level hypotheses.
A computing device for improving distribution and conversion of academic data, the content management system comprising:
- one or more processors;
- and
- one or memories coupled with the one or more processors, wherein the one or more processors and the one or more memories are configured to:
- generate a digital representation of a handwritten user input, the digital representation comprising a first pixel and a second pixel;
- identify an x-coordinate and a y-coordinate of a portion of the digital representation of the handwritten user input;
- generate derivatives of the x-coordinate and the y-coordinate of the portion of the digital representation of the handwritten user input;
- generate a feature set from the derivatives of the x-coordinate and the y-coordinate of the portion of the digital representation of the handwritten user input;
- generate an observation score with a first model;
- apply a second model to the observation score;
- generate character level hypotheses;
- and
- generate a word prediction based on the character level hypotheses.
One or more computer-readable storage media collectively storing computer-executable instructions that, when executed by one or more computer systems, configure the one or more computer systems to collectively perform operations comprising:
- generating a digital representation of a handwritten user input, the digital representation comprising a first pixel and a second pixel;
- identifying an x-coordinate and a y-coordinate of a portion of the digital representation of the handwritten user input;
- generating derivatives of the x-coordinate and the y-coordinate of the portion of the digital representation of the handwritten user input;
- generating a feature set from the derivatives of the x-coordinate and the y-coordinate of the portion of the digital representation of the handwritten user input;
- generating an observation score with a first model;
- applying a second model to the observation score;
- generating character level hypotheses;
- and
- generating a word prediction based on the character level hypotheses.
Dependencies are inferred from the claim text.