Team: Samah Zaro, Lubna Hashlamoun, Itimad Smairat
Supervisors: Eng. Yousef A. Salah and Dr. Hashem Tamimi
Description:
Social Cohesion is a main concern in Arabic culture; this concern has led to the idea of this project, which can help in integrating 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 take these readings and perform recognition operations on them using some machine learning techniques, such as HMM. After that, the resultant text is displayed on a shielded LCD and, at the same time, converted into its corresponding voice through a TTS which, then, transmitted it to a speaker.
This project is an effective step to achieve fuses the mute and deaf people among members of the Arab world.
