Patents by Inventor Adam Szarzynski

Adam Szarzynski has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230234235
    Abstract: One variation of a method includes: accessing a handwriting sample comprising a set of user glyphs handwritten by a user; for each character in a set of characters, identifying a subset of user glyphs corresponding to the character in the handwriting sample, characterizing variability of a set of spatial features across the subset of user glyphs, and storing variability of the set of spatial features across the subset of user glyphs in a character container corresponding to the character; and compiling the set of character containers into a handwriting model for the user. The method further includes: accessing a text string comprising a combination of characters in the set of characters; for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph representing the character; and assembling the set of synthetic glyphs into a print file.
    Type: Application
    Filed: January 23, 2023
    Publication date: July 27, 2023
    Inventors: Adam Szarzynski, Christopher Tosswill, Randall Lee Szarzynski, Scott Hasbrouck
  • Patent number: 11587275
    Abstract: One variation of a method includes: accessing a handwriting sample comprising a set of user glyphs handwritten by a user; for each character in a set of characters, identifying a subset of user glyphs corresponding to the character in the handwriting sample, characterizing variability of a set of spatial features across the subset of user glyphs, and storing variability of the set of spatial features across the subset of user glyphs in a character container corresponding to the character; and compiling the set of character containers into a handwriting model for the user. The method further includes: accessing a text string comprising a combination of characters in the set of characters; for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph representing the character; and assembling the set of synthetic glyphs into a print file.
    Type: Grant
    Filed: January 12, 2022
    Date of Patent: February 21, 2023
    Assignee: ConversionRobots Inc.
    Inventors: Adam Szarzynski, Christopher Tosswill, Randall Lee Szarzynski, Scott Hasbrouck
  • Publication number: 20220148245
    Abstract: One variation of a method includes: accessing a handwriting sample comprising a set of user glyphs handwritten by a user; for each character in a set of characters, identifying a subset of user glyphs corresponding to the character in the handwriting sample, characterizing variability of a set of spatial features across the subset of user glyphs, and storing variability of the set of spatial features across the subset of user glyphs in a character container corresponding to the character; and compiling the set of character containers into a handwriting model for the user. The method further includes: accessing a text string comprising a combination of characters in the set of characters; for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph representing the character; and assembling the set of synthetic glyphs into a print file.
    Type: Application
    Filed: January 12, 2022
    Publication date: May 12, 2022
    Inventors: Adam Szarzynski, Christopher Tosswill, Randall Lee Szarzynski, Scott Hasbrouck
  • Patent number: 11257267
    Abstract: One variation of a method includes: accessing a handwriting sample comprising a set of user glyphs handwritten by a user; for each character in a set of characters, identifying a subset of user glyphs corresponding to the character in the handwriting sample, characterizing variability of a set of spatial features across the subset of user glyphs, and storing variability of the set of spatial features across the subset of user glyphs in a character container corresponding to the character; and compiling the set of character containers into a handwriting model for the user. The method further includes: accessing a text string comprising a combination of characters in the set of characters; for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph representing the character; and assembling the set of synthetic glyphs into a print file.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: February 22, 2022
    Assignee: ConversionRobotics Inc.
    Inventors: Adam Szarzynski, Christopher Tosswill, Randall Lee Szarzynski, Scott Hasbrouck
  • Publication number: 20210150789
    Abstract: One variation of a method includes: accessing a handwriting sample comprising a set of user glyphs handwritten by a user; for each character in a set of characters, identifying a subset of user glyphs corresponding to the character in the handwriting sample, characterizing variability of a set of spatial features across the subset of user glyphs, and storing variability of the set of spatial features across the subset of user glyphs in a character container corresponding to the character; and compiling the set of character containers into a handwriting model for the user. The method further includes: accessing a text string comprising a combination of characters in the set of characters; for each instance of each character in the text string, inserting a set of variability parameters into the handwriting model to generate a synthetic glyph representing the character; and assembling the set of synthetic glyphs into a print file.
    Type: Application
    Filed: September 18, 2020
    Publication date: May 20, 2021
    Inventors: Adam Szarzynski, Christopher Tosswill, Randall Lee Szarzynski, Scott Hasbrouck