DocumentCode
1595
Title
Image-Based and Sensor-Based Approaches to Arabic Sign Language Recognition
Author
Mohandes, M. ; Deriche, M. ; Liu, Jiangchuan
Author_Institution
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Volume
44
Issue
4
fYear
2014
fDate
Aug. 2014
Firstpage
551
Lastpage
557
Abstract
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.
Keywords
natural language processing; sign language recognition; Arabic sign language recognition; automatic translation; image-based approach; sensor-based approach; spoken language; Accuracy; Assistive technology; Feature extraction; Gesture recognition; Hidden Markov models; Image recognition; Sensors; Arabic sign language recognition (ArSLR); continuous sign recognition; image-based; isolated word recognition; sensor-based;
fLanguage
English
Journal_Title
Human-Machine Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2291
Type
jour
DOI
10.1109/THMS.2014.2318280
Filename
6814287
Link To Document