Dynamic Gesture Recognition for Sign Language Using Long Short-Term Memory Networks

A significant defect in our society is the social divide between people with disabilities and those without. Communication is one of the most significant characteristics of humans, who are thought of as social animals. One of the biggest challenges for those with hearing and vocal impairments is communication. For someone who has hearing and voice impairments, this incapacity to communicate causes regular issues and interferes with their everyday tasks. We have suggested a way to get beyond this communication obstacle in our research work. Everyone can use this solution with ease, and with a few tweaks, it can be made to function on the majority of systems having camera modules. Our method employs an integrated camera module to record hand movements in real time, based on landmarks or hand key points. Proposed LSTM based model have been evaluated in real time environment and a significant result have been reported as mentioned in the result section.