skip to main content
10.1145/1452392.1452428acmconferencesArticle/Chapter ViewAbstractPublication Pagesicmi-mlmiConference Proceedingsconference-collections
demonstration

AcceleSpell, a gestural interactive game to learn and practice finger spelling

Published:20 October 2008Publication History

ABSTRACT

In this paper, an interactive computer game for learning and practicing continuous fingerspelling is described. The game is controlled by an instrumented glove known as AcceleGlove and a recognition algorithm based on decision trees. The Graphical User Interface is designed to allow beginners to remember the correct hand shapes and start finger spelling words sooner than traditional methods of learning.

References

  1. Gallaudet University. Regional and National Summary Report of Data from the 1999 - 2000 Annual Survey of Deaf and Hard of Hearing Children and Youth. Washington DC, 2001.Google ScholarGoogle Scholar
  2. E. L. Newport. Maturational Constraints on Language Learning. Cognitive Science. 14 pp. 11--28, 1990.Google ScholarGoogle ScholarCross RefCross Ref
  3. H. Hamilton and D. Lillo-Martin. Initiative Production of Verbs of Movement and Location: A Comparative Study Sign Language Studies. 50. pp. 29--57, 1986.Google ScholarGoogle Scholar
  4. D. Roberts, U. Foehr, V. Ridout and M. Brodie. Kids and Media at the New Millenium. Keiser Family Foundation Report. Menlo Park, CA, 1999.Google ScholarGoogle Scholar
  5. Institute for Disabilities Research and Training, Inc. Information on the world wide web. http://www.idrt.comGoogle ScholarGoogle Scholar
  6. V. Henderson, S. Lee, H. Brashear, H. Hamilton, T. Starner. Development of an American Sign Language game for deaf children. 2005 conference on Interaction design and children. pp: 70--79. Year 2005. ISBN:1-59593-096-5 Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hernandez, Jose L., Kyriakopoulos, N., Lindeman, R. "The AcceleGlove a Hole-Hand Input Device for Virtual Reality". ACM SIGGRAPH Sketches and Applications 2002. pp 259. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Hernandez, Jose L., Kyriakopoulos, N., Lindeman R., "A Multi-Class Pattern Recognition of Practical Finger Spelling Translation", IEEE International Conference on Multimodal Interfaces ICMI'02. October 2002, pp 185--190. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. L. Hernandez-Rebollar, N. Kyriakopoulos and R. W. Lindeman. A New Instrumented Approach for Translating American Sign Language into Sound and Text. Proceedings. Sixth IEEE Intl. Conference on Automatic Face and Gesture Recognition, pp. 547--552, 2004 Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. AcceleSpell, a gestural interactive game to learn and practice finger spelling

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          ICMI '08: Proceedings of the 10th international conference on Multimodal interfaces
          October 2008
          322 pages
          ISBN:9781605581989
          DOI:10.1145/1452392

          Copyright © 2008 ACM

          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]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 20 October 2008

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • demonstration

          Acceptance Rates

          Overall Acceptance Rate453of1,080submissions,42%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader