The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 13, 2023

Filed:

Feb. 18, 2022
Applicant:

Societe Bic, Clichy, FR;

Inventors:

David Duffy, Zurich, CH;

Christopher-John Wright, Lausanne, CH;

Timothy Giles Beard, Lausanne, CH;

Wai Keith Lau, Lausanne, CH;

William Andrew Schnabel, Lausanne, CH;

Assignee:

SOCIÉTÉ BIC, Clichy, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/04883 (2022.01); G06F 40/166 (2020.01); G06F 40/20 (2020.01); G06V 30/142 (2022.01); G06F 3/044 (2006.01); G06V 30/244 (2022.01); G06V 30/226 (2022.01); G06V 30/32 (2022.01); G06F 3/0354 (2013.01); G06F 3/01 (2006.01);
U.S. Cl.
CPC ...
G06F 3/04883 (2013.01); G06F 3/03545 (2013.01); G06F 3/044 (2013.01); G06F 40/166 (2020.01); G06F 40/20 (2020.01); G06V 30/1423 (2022.01); G06V 30/226 (2022.01); G06V 30/245 (2022.01); G06V 30/32 (2022.01); G06F 3/018 (2013.01); G06T 2200/24 (2013.01);
Abstract

A computer-implemented method for generating feedback based on a handwritten text, comprises the steps of initializing a writing instrument to be used in a writing operation comprising a handwritten text and capturing and processing the handwritten text to generate digital text data. The method further comprises the steps of identifying at least one handwritten text attribute associated with the digital text data, comparing the at least one handwritten text attribute with predefined textual feature attributes, and generating a textual feature based on the compared at least one handwritten text attribute and predefined textual feature attributes. In addition, the method comprises the steps of modifying the digital text data using the textual feature and generating feedback to a user based on the modified digital text data.


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