Smart glove-based gestures recognition system for Arabic sign language

Sign language is a communication way that enables deaf and dump people to communicate with others. Different communication systems are developed to cover various languages including Arabic language. The goal of this study was to design a low cost smart glove system that recognizes hands gestures in Arabic sign language. Through a set of flex sensors and a tilting sensing module for right and left hands, gestures were converted into a vocalized speech. Further, by developing Android application “Smart Gloves” a text speech was appeared. It facilitates user interface with the proposed system. Indeed, Bluetooth module was used for wireless communication between the system and a mobile phone. The glove system has been designed for words level and sentences level as well. Results point to 90% of recognition rate. The system has proven its ability to translate hands gestures into Arabic Sign Language in spoken and written ways.