Multi-stroke freehand text entry method using OpenVG and its application on mobile devices

  • Gaoqi He*
  • , Zhigeng Pan
  • , Christophe Quarre
  • , Mingmin Zhang
  • , Huijun Xu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

A new freehand text entry method, called EasyStroke, is presented for mobile devices. Based on the multi-stroke philosophy and analogy principle, 26 lowercase characters are described. Trails of stylus movement are segmented dynamically and best approximated through the three captured points. Then, each segment is rendered immediately using hardware-accelerated OpenVG APIs. Finally, combination of the types of all segments flows into the small LUT-based recognizer, using some additional bits. Thus, this new method is easy, efficient and quick to use, Implementation and evaluation of such system are presented. Prototype of'mobile game, WordCollection, is demonstrated to help users experience functions of both education and entertainment.

Original languageEnglish
Title of host publicationTechnologies for E-Learning and Digital Entertainment - First International Conference, Edutainment 2006, Proceedings
PublisherSpringer Verlag
Pages791-796
Number of pages6
ISBN (Print)3540334238, 9783540334231
DOIs
StatePublished - 2006
Externally publishedYes
Event1st International Conference on Technologies for E-Learning and Digital Entertainment, Edutainment 2006 - Hangzhou, China
Duration: 16 Apr 200619 Apr 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3942 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Technologies for E-Learning and Digital Entertainment, Edutainment 2006
Country/TerritoryChina
CityHangzhou
Period16/04/0619/04/06

Keywords

  • Hardware accelerated APIs
  • Multi-stroke
  • OpenVG
  • Recognition
  • Segmentation
  • Text entry

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