This project demonstrates hand sign detection using TensorFlow Lite and Flask. It captures video frames, performs hand sign detection using a pre-trained TensorFlow Lite model, adds a unique number to ...

This study focuses on overcoming communication challenges for individuals with hearing impairments by exploring automated recognition of sign language signals. People with hearing impairments can ...

This paper explores the intersection of Artificial Intelligence (AI) and sign language communication, aiming to enhance accessibility and inclusion for individuals who are deaf or hard of hearing.

SignBart is an efficient Isolated Sign Language Recognition model that decouples x and y coordinates using a lightweight encoder-decoder architecture. It achieves high accuracy with fewer than 750K ...