Vocalizing Arabic Sign Language

Abstract

Social Cohesion is a main concern in Arabic culture; this concern has led to the idea of this project, which can help in better integrating for the mute and deaf people in the Arabic societies. The aim of this project is being achieved by designing and implementing a system able to recognize Arabic sign language and translate it into text/voice represented in Arabic language. This system can perform immediate translation between mute and deaf people and hearing people. The system reads the user's signs through a wearable sensory Data-Glove, then a Microcontroller reads the input data and performs recognition operations on them using some machine learning techniques, such as HMM (Hidden Markov Model). After that, the resultant text is displayed on a shielded LCD (Liquid Crystal Display) and, at the same time, converted into its corresponding voice through a TTS (Text to Speech Synthesizer) which, then, transmitted it to a speaker.