K-016 The Effect of Size and Position Normalization on HMM-based JSL Recognition

  • ELGHADI A.
    Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT
  • Asai Shingo
    Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT
  • Sako Shinji
    Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT
  • Kitamura Tadashi
    Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, NIT

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Abstract

This paper shows a technique of continuous Japanese Sign Language (JSL) recognition based on Hidden Markov models (HMMs). The system aims for an automatic signer independent recognition of JSL sentences. Stereo video camera is utilized for extracting geometric properties of the head and hands trajectory. Size and position normalization is employed in order to account for differences in body-size and proportions. The system was implemented and evaluated using the RWC JSL database consisting of 64 sentences and 4 signers. The recognition results are then compared to the conclusion that normalization indeed increases the recognition rate of the system.

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