People with hearing disabilities often face communication barriers when interacting with
hearing individuals. To address this issue, this paper proposes a bidirectional Sign …

Our study explores the application of deep learning models, specifically LSTM (Long Short-
Term Memory) and CNN (Convolutional Neural Network), in the realm of sign language …

Sign language is an essential means of communication for people with hearing disabilities.
However, there is often a communication gap between hearing and non-hearing individuals …

Sign language serves as a vital form of communication for individuals with hearing
impairments, enabling seamless interaction among those who cannot hear. It is a widely …

This study explores the field of sign language recognition through machine learning,
focusing on the development and comparative evaluation of various algorithms designed to …

The communication barriers faced by people with disabilities, particularly the deaf or hard of
hearing, nonverbal, deaf-mute, and blind have a significant impact on their quality of life and …

Although our digitalized society is able to foster social inclusion and integration, there are
still numerous communities having unequal opportunities. This is also the case with deaf …

Background Sign language is an essential means of communication for hearing-impaired
individuals. Objective We aimed to develop an American sign language recognition dataset …

Sign language is a type of interaction used by individuals who are deaf or hard of hearing to
interact with others. They have their very own syntax and vocabulary and are entirely …

Sign language is a basic tool for those who haven't received the gift of speaking and
listening. Normal people generally do not learn sign language to communicate with …