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Application of Artificial Neural Network For Sign Language Translation

  • Cho, Jeong-Ran (Dept. of Health Administration, Kwangju Womens University) ;
  • Kim, Hyung-Hoon (Dept. of Cosmetic Science, Kwangju Womens University)
  • Received : 2019.01.11
  • Accepted : 2019.02.12
  • Published : 2019.02.28

Abstract

In the case of a hearing impaired person using sign language, there are many difficulties in communicating with a normal person who does not understand sign language. The sign language translation system is a system that enables communication between the hearing impaired person using sign language and the normal person who does not understand sign language in this situation. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, the existing sign language translation system does not solve such difficulties due to some problems. Existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. Therefore, in this paper, a sign language translation system using an artificial neural network is devised to overcome the problems of the existing system.

Keywords

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Fig. 1. Overview of the TeST System

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Fig. 2. System design with deep running technique

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Fig. 3. Conceptual structure of biological neurons

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Fig. 4. Structure of artificial neural network

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Fig. 5. Concept of sign language-korean translation system using artificial neural network

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Fig. 6. Artificial neural network concept of sign language video recognition system

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Fig. 7. Concept of korean-sign language translation system using artificial neural network

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Fig. 8. Artificial neural network concept of sign language translation system

Table 1. Characteristics of Korean Sign Language and Standard Sign Language for Korean

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