Sign language recognition using deep learning methods

Abstract

Sign language gesture recognition employs various problems, such as variabilities in handshapes, movements, signers’ facial expressions and etc. Hence, teaching a machine to recognize the patterns that consider all of the problems mentioned above is a big challenge. The main goal of this work is
to develop a set of methods and techniques involving deep learning in order to build a system capable of highly efficient sign language gesture recognition. In this article, we make brief research among the related
works and propose our idea on our future work.