A Survey on Sign Language Recognition
The project aims at bridging the communication gap with voice and hearing-impaired people, helping them to converse with the world more fluently using hand gestures as the primary input and converts those into understandable language.
Abstract
The modern day applications are more user experience-oriented. Every application tends to gather information specific to each person’s operation and then provide customized features. The methods used to achieve such feats are a product of Machine Learning (ML) and Artificial Intelligence (AI) techniques. Using these techniques, real-time applications are reaching new heights in interacting with humans almost seamlessly. When living in such times, we can use these methods effectively to explore ways to overcome challenging problems. One such problem that we are taking upon is Sign Language Recognition (SLR). The project aims at bridging the communication gap with voice and hearing-impaired people, helping them to converse with the world more fluently. Using hand gestures as the primary input, we convert those into understandable language.