Sign Language Translator

Sign Language is a universal language using gestures that is generally used by people who suffer from loss of hearing and speech to communicate with others. However, many people do not know sign language, making it difficult for those who are speech and hearing impaired to communicate with most people on a daily basis. The American Sign Language (ASL) Communications device aims to break the barrier between those who are unable to verbally communicate and those who can. We outfitted a glove with multiple sensors to capture motion and data from the hand guestures of the user. Then, our machine learning algorithm processes the data and outputs the translation into speech and text on a Smartphone or Laptop. By wearing a glove that can translate American Sign Language to text and speech using either a phone or a laptop, the speech and hearing impaired can communicate with anyone using sign language.

Project status: 
Active
Department: 
EECS
Term: 
Fall
Academic year: 
2018-2019
Fall Poster: 
Sign Language Translator Fall Poster
Winter Poster: 
Sign Language Translator Winter Poster
Winter Video: