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GenWrite. Craig Atkinson Chris Byszeski Asif Daud Amir Kouretchian Sachin Pradhan Danny Suyanto. Objective & Motivation. To convert text to handwriting based on a user sample (and user’s state of mind).
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GenWrite Craig Atkinson Chris Byszeski Asif Daud Amir Kouretchian Sachin Pradhan Danny Suyanto
Objective & Motivation • To convert text to handwriting based on a user sample (and user’s state of mind) • Spelling & Grammar correction easier to do in text, but need to convert it back to handwriting
Main Features • Have user create a profile by entering in a sample of their handwriting • User types text, or loads a text document and can convert the text to his/her handwriting • User profiles are saved for future use • Adding naturalization to handwriting
Usage Scenarios & Customers • Uses • People who want to take handwritten notes, but edit the errors in text form, and then convert it back to their handwriting • Personalization of letters, memos, etc. • An additional tool (plugin) for Office applications • Customers • Students/lecturers • Software companies like Microsoft that want to incorporate GenWrite into their Office suite
Risks • The handwriting needs to look natural • People have vastly different styles • Cursive • Print • Combination of cursive and print • Unfamiliarity with tools and development platform
