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An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC

  • Jung-Hyun Kim
  • Yong-Wan Roh
  • Kwang-Seok Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3994)

Abstract

Korean Standard Sign Language (hereinafter, “KSSL”) is a complex visual-spatial language that is used by the deaf community in the South Korea. Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.

Keywords

Wireless Sensor Network Essential Tremor Sign Language Hand Gesture Deaf Community 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jung-Hyun Kim
    • 1
  • Yong-Wan Roh
    • 1
  • Kwang-Seok Hong
    • 1
  1. 1.School of Information and Communication EngineeringSungkyunkwan UniversitySuwon, KyungKi-doKorea

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