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
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;
Journal_Title :
Human-Machine Systems, IEEE Transactions on
DOI :
10.1109/THMS.2014.2318280