Sign Language Translator using the Back Propagation Algorithm of an MLP
Gaby Abou Haidar, Roger Achkar, Dian Salhab, Antoine Sayah, Fadi Jobran · 2019
Although technology has been evolving rapidly in this information age, deaf/mute people still use sign language as their only way of communication. Using sign language as a communication tool can be beneficial among those who are familiar with this language, but the problem remains when communicating with the wider community. Sign Language Translator is the appropriate solution that enables deaf/mute people to communication fluently through technology in different languages. It is a combination of two gloves with the required sensors and a smart phone that contains the mobile application that translates the hand gestures into spoken words, is based on the Lebanese Sign Language; Artificial Neural Networks plays a big role in releasing the exact output.