A review of sign language recognition research

Author:

Yu Ming1,Jia Jingli1,Xue Cuihong2,Yan Gang1,Guo Yingchun1,Liu Yuehao1

Affiliation:

1. School of Artificial Intelligence, Hebei University of Technology, Tianjin, China

2. Technical College for Deaf, Tianjin University of Technology, Tianjin, China

Abstract

Sign language is the primary way of communication between hard-of-hearing and hearing people. Sign language recognition helps promote the better integration of deaf and hard-of-hearing people into society. We reviewed 95 types of research on sign language recognition technology from 1993 to 2021, analyzing and comparing algorithms from three aspects of gesture, isolated word, and continuous sentence recognition, elaborating the evolution of sign language acquisition equipment and we summarized the datasets of sign language recognition research and evaluation criteria. Finally, the main technology trends are discussed, and future challenges are analyzed.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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