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Application of Artificial Neural Network For Sign Language Translation

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(2), pp.185-192
  • DOI : 10.9708/jksci.2019.24.02.185
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 11, 2019
  • Accepted : February 12, 2019
  • Published : February 28, 2019

Jeong-Ran Cho 1 Hyung-Hoon Kim 1

1광주여자대학교

Accredited

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.

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