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SmartList: exploring intelligent hand-written list support

Published: 06 July 2009 Publication History

Abstract

Here we report on SmartList our prototype for exploring essential features for a handwritten list program. On a freeform list, a lot of information is encoded in the layout and non-text ink: currently there is no effective pen-based computer program to support this activity. Although modern handwriting recognizers can achieve good recognition accuracy, this is not sufficient to support list making. Our prototype and its evaluation are presented in this paper. We identify accurate ink recognition as an essential element for such intelligent pen-based systems.

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  • (2011)An extensible digital ink segmentation and classification framework for natural notetakingProceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems10.1145/1996461.1996528(231-240)Online publication date: 13-Jun-2011

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cover image ACM Other conferences
CHINZ '09: Proceedings of the 10th International Conference NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction
July 2009
113 pages
ISBN:9781605585741
DOI:10.1145/1577782
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • New Zealand Chapter of ACM SIGCHI
  • The University of Auckland

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 July 2009

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  1. digital ink
  2. lists

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Overall Acceptance Rate 8 of 23 submissions, 35%

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  • (2011)An extensible digital ink segmentation and classification framework for natural notetakingProceedings of the 3rd ACM SIGCHI symposium on Engineering interactive computing systems10.1145/1996461.1996528(231-240)Online publication date: 13-Jun-2011

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