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http://dx.doi.org/10.9708/jksci.2019.24.02.185

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)
Publication Information
Journal of the Korea Society of Computer and Information / v.24, no.2, 2019 , pp. 185-192 More about this Journal
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
Sign Language Translation; Artificial Neural Network; Machine Learning; Hearing Impaired Person;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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