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Vision-based Korean Manual Alphabet recognition game for beginners

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Published:03 December 2008Publication History

ABSTRACT

The Korean Manual Alphabet (KMA) corresponds to the vocabulary of Korean Sign Language (KSL) and people use this KMA when he/she spells each letter of a word such as a newly coined word without current body language in deaf society [1]. Hearing people usually does not know/understand KSL words, because he/she can use KMA in order to communicate simply with the deaf without learning complex sign languages. Min, et al developed the glove-based KMA recognition using blue-tooth [2]. In this paper, we propose the vision-based KMA recognition game interface using a low price Universal Serial Bus (USB) based camera. We aim to provide that beginners can learn KMA letters easily when playing game at the same time. In addition, the system is able to detect a user's hand from captured images and find out one Korean Alphabet (KA) falling letter in game that corresponds to a KMA letter. We evaluated capabilities of the proposed system in order to provide convenience and reliability to the users.

References

  1. Karen Nakamura, "Sign language," The Deaf Resource Library, http://www.deaflibrary.org/Google ScholarGoogle Scholar
  2. Seungki Min, Sanghyuk Oh, Gyoryeong Kim, Taehyun Yoon, Yunli Lee, Keechul Jung, "Simple Glove-Based Korean Finger Spelling Recognition System", ICCSA 2007, LNCS, Vol. 4705/2007, pp. 1063--1073 Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Vision-based Korean Manual Alphabet recognition game for beginners

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            • Published in

              cover image ACM Conferences
              ACE '08: Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
              December 2008
              427 pages
              ISBN:9781605583938
              DOI:10.1145/1501750
              • General Chairs:
              • Masa Inakage,
              • Adrian David Cheok

              Copyright © 2008 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 3 December 2008

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