Image-Based and Sensor-Based Approaches to Arabic Sign Language Recognition

被引：84

作者：

Mohandes, M. ^{[1
]}

Deriche, M. ^{[1
]}

Liu, J. ^{[1
]}

机构：

[1] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran 31261, Saudi Arabia

来源：

IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS | 2014年 / 44卷 / 04期

关键词：

Arabic sign language recognition (ArSLR); continuous sign recognition; image-based; isolated word recognition; sensor-based; GESTURE RECOGNITION; SYSTEM; FEATURES;

D O I：

10.1109/THMS.2014.2318280

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sign language continues to be the preferred method of communication among the deaf and the hearing-impaired. Advances in information technology have prompted the development of systems that can facilitate automatic translation between sign language and spoken language. More recently, systems translating between Arabic sign and spoken language have become popular. This paper reviews systems and methods for the automatic recognition of Arabic sign language. Additionally, this paper highlights the main challenges characterizing Arabic sign language as well as potential future research directions.

引用

页码：551 / 557

页数：7

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