A new approach for designing a smart glove for Arabic Sign Language Recognition system based on the statistical analysis of the Sign Language

Abstract

In Arab countries, the hearing impaired people exceeds 10 million. In Egypt, the number of hearing-impaired people is around 4 million. So Sign language is important for facilitating communication between hearing impaired and the rest of society, but not all the rest of society know this language so, a new approach is suggested for designing a smart glove that can be used as a part of an electronic system to translate the sign language into a spoken or written language. This design covers all Arabic sign language signs (words level) by using a little number of sensors as possible. The design is driven by statistical analysis for all words of Arabic sign language in terms of single hand, double hands movement, single stage, multi-stage movement signs, fingers angle, and orientation. This paper covers the statistical analysis results and explains the proposed design using simulation model.