Sign Language Recognition using Deep Learning

Abstract

Abstract: Sign language is a way of communicating using hand gestures and movements, body language and facial expressions, instead of spoken words. It can also be defined as any of various formal languages employing a system of hand gestures and their placement relative to the upper body, facial expressions, body postures, and finger spelling especially for communication by and with deaf people. The project that is being built is to recognize the action performed by the person/user in sign language using Deep learning. Ordinary people are not well versed in sign language. The project tries to solve this problem using deep learning that is precisely using TensorFlow. In the project a LSTM (long-short term memory) model in deep Learning is built using TensorFlow to categories the action the user is doing. This will help the user with special needs to communicate with other people using the application we built. By this we can bridge the gap between the especially abled people and ordinary people.