A Review of Real-Time Sign Language Recognition for Virtual Interaction on Meeting Platforms

It is vital for Deaf and hard of hearing persons to learn sign language, particularly in the digital age. A flawless virtual engagement requires realtime sign language translation. This evaluation is on how it may be used in virtual meetings. It draws attention to difficulties and emphasizes accessibility. The study discusses computer vision in recognition systems, deep learning, and sensor technology. It assesses current systems and their compatibility with Microsoft Teams and Zoom. Future studies should focus on improving accuracy, recognizing different gestures, and supporting several languages. This report provides guidance to researchers in assistive technology and sheds light on the possibility of realtime sign language detection in online meetings.