Recognition of American Sign Language using Deep Learning

Abstract

Speech impairment is a condition that affects a Person’s ability to communicate via voice and hearing. People who are afflicted employ alternative communication methods such assign language. In Spite of the fact that American Sign Language has become more frequently applied in recent years, non-sign language speakers and signers continue to have problems communicating. Thanks to the advancements in deep learning and computer vision, there has been promising progress in the fields of motion and gesture recognition using deep learning and computer vision-based techniques. The intention of this paper is to create a vision-based program that converts sign language to text, letting signers and non-signers communicate more easily.